diff --git "a/alpha-prompt_v1/checkpoint-28576/trainer_state.json" "b/alpha-prompt_v1/checkpoint-28576/trainer_state.json" new file mode 100644--- /dev/null +++ "b/alpha-prompt_v1/checkpoint-28576/trainer_state.json" @@ -0,0 +1,172611 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.9999766709436604, + "eval_steps": 200, + "global_step": 28576, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 1e-05, + "loss": 3.7758, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 2e-05, + "loss": 3.7954, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 3e-05, + "loss": 3.7898, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 4e-05, + "loss": 3.791, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 5e-05, + "loss": 3.878, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 6e-05, + "loss": 3.8261, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 7e-05, + "loss": 3.8312, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 8e-05, + "loss": 3.8548, + "step": 8 + }, + { + "epoch": 0.0, + "learning_rate": 9e-05, + "loss": 3.7137, + "step": 9 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001, + "loss": 3.5687, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 0.00011000000000000002, + "loss": 3.5224, + "step": 11 + }, + { + "epoch": 0.0, + "learning_rate": 0.00012, + "loss": 3.3281, + "step": 12 + }, + { + "epoch": 0.0, + "learning_rate": 0.00013000000000000002, + "loss": 3.161, + "step": 13 + }, + { + "epoch": 0.0, + "learning_rate": 0.00014, + "loss": 3.1596, + "step": 14 + }, + { + "epoch": 0.0, + "learning_rate": 0.00015000000000000001, + "loss": 3.1166, + "step": 15 + }, + { + "epoch": 0.0, + "learning_rate": 0.00016, + "loss": 3.0319, + "step": 16 + }, + { + "epoch": 0.0, + "learning_rate": 0.00017, + "loss": 2.9977, + "step": 17 + }, + { + "epoch": 0.0, + "learning_rate": 0.00018, + "loss": 2.8154, + "step": 18 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019, + "loss": 2.7827, + "step": 19 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 2.8516, + "step": 20 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999999939483335, + "loss": 2.7275, + "step": 21 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999999757933332, + "loss": 2.6713, + "step": 22 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999999455350001, + "loss": 2.6723, + "step": 23 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999999903173334, + "loss": 2.5739, + "step": 24 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999998487083356, + "loss": 2.747, + "step": 25 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999997821400057, + "loss": 2.6164, + "step": 26 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999997034683448, + "loss": 2.5405, + "step": 27 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999996126933542, + "loss": 2.5678, + "step": 28 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999999509815035, + "loss": 2.477, + "step": 29 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999993948333883, + "loss": 2.5899, + "step": 30 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999999267748415, + "loss": 2.5148, + "step": 31 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999991285601175, + "loss": 2.4777, + "step": 32 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999998977268497, + "loss": 2.5334, + "step": 33 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999988138735554, + "loss": 2.3585, + "step": 34 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999986383752947, + "loss": 2.3501, + "step": 35 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999984507737168, + "loss": 2.38, + "step": 36 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999982510688247, + "loss": 2.3845, + "step": 37 + }, + { + "epoch": 0.0, + "learning_rate": 0.000199999803926062, + "loss": 2.4353, + "step": 38 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999978153491057, + "loss": 2.4507, + "step": 39 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999975793342842, + "loss": 2.2851, + "step": 40 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999973312161587, + "loss": 2.4644, + "step": 41 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999997070994732, + "loss": 2.2418, + "step": 42 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999967986700074, + "loss": 2.3765, + "step": 43 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999996514241988, + "loss": 2.3221, + "step": 44 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999962177106776, + "loss": 2.4146, + "step": 45 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999995909076079, + "loss": 2.2785, + "step": 46 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999955883381968, + "loss": 2.3752, + "step": 47 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999952554970347, + "loss": 2.442, + "step": 48 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999949105525963, + "loss": 2.3037, + "step": 49 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999945535048862, + "loss": 2.4021, + "step": 50 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999941843539085, + "loss": 2.4293, + "step": 51 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999938030996675, + "loss": 2.3343, + "step": 52 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999934097421687, + "loss": 2.275, + "step": 53 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999930042814156, + "loss": 2.3579, + "step": 54 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999992586717414, + "loss": 2.3144, + "step": 55 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999921570501688, + "loss": 2.2176, + "step": 56 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999917152796847, + "loss": 2.3017, + "step": 57 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999912614059677, + "loss": 2.3317, + "step": 58 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999990795429023, + "loss": 2.3865, + "step": 59 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999990317348856, + "loss": 2.3168, + "step": 60 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999989827165473, + "loss": 2.2029, + "step": 61 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999893248788796, + "loss": 2.3537, + "step": 62 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999888104890818, + "loss": 2.3237, + "step": 63 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999882839960863, + "loss": 2.4037, + "step": 64 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999987745399899, + "loss": 2.2743, + "step": 65 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999871947005263, + "loss": 2.289, + "step": 66 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999866318979757, + "loss": 2.2029, + "step": 67 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999860569922532, + "loss": 2.2701, + "step": 68 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999854699833658, + "loss": 2.2414, + "step": 69 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999848708713208, + "loss": 2.3094, + "step": 70 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999984259656126, + "loss": 2.18, + "step": 71 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999836363377877, + "loss": 2.1799, + "step": 72 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999983000916314, + "loss": 2.2362, + "step": 73 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999982353391713, + "loss": 2.268, + "step": 74 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999981693763992, + "loss": 2.2659, + "step": 75 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999810220331588, + "loss": 2.2002, + "step": 76 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999803381992224, + "loss": 2.1722, + "step": 77 + }, + { + "epoch": 0.0, + "learning_rate": 0.000199997964226219, + "loss": 2.1506, + "step": 78 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999789342220708, + "loss": 2.1809, + "step": 79 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999978214078873, + "loss": 2.2809, + "step": 80 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999774818326056, + "loss": 2.2151, + "step": 81 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999976737483277, + "loss": 2.1926, + "step": 82 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999975981030897, + "loss": 2.2353, + "step": 83 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999975212475474, + "loss": 2.0853, + "step": 84 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999744318170172, + "loss": 2.1206, + "step": 85 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999736390555368, + "loss": 2.2225, + "step": 86 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999728341910423, + "loss": 2.1565, + "step": 87 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999720172235425, + "loss": 2.2583, + "step": 88 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999711881530483, + "loss": 2.1692, + "step": 89 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999703469795695, + "loss": 2.0796, + "step": 90 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999694937031156, + "loss": 2.1963, + "step": 91 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999968628323698, + "loss": 2.1811, + "step": 92 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999677508413265, + "loss": 2.1725, + "step": 93 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999668612560116, + "loss": 2.1964, + "step": 94 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999965959567765, + "loss": 2.0809, + "step": 95 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999650457765963, + "loss": 2.2315, + "step": 96 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999641198825173, + "loss": 2.2633, + "step": 97 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999631818855393, + "loss": 2.1876, + "step": 98 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999622317856734, + "loss": 2.1973, + "step": 99 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999612695829316, + "loss": 2.195, + "step": 100 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999602952773247, + "loss": 2.2909, + "step": 101 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999959308868865, + "loss": 2.1511, + "step": 102 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999583103575642, + "loss": 2.195, + "step": 103 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999572997434344, + "loss": 2.0458, + "step": 104 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999562770264882, + "loss": 2.147, + "step": 105 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999552422067377, + "loss": 2.1316, + "step": 106 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999541952841956, + "loss": 2.1652, + "step": 107 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999531362588743, + "loss": 2.2374, + "step": 108 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999520651307868, + "loss": 2.1093, + "step": 109 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999950981899946, + "loss": 2.0743, + "step": 110 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999949886566365, + "loss": 2.0776, + "step": 111 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999487791300572, + "loss": 2.167, + "step": 112 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999476595910357, + "loss": 1.9666, + "step": 113 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999465279493147, + "loss": 1.9724, + "step": 114 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999945384204907, + "loss": 2.1261, + "step": 115 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999944228357827, + "loss": 2.1665, + "step": 116 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999430604080885, + "loss": 2.1211, + "step": 117 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999941880355706, + "loss": 2.0932, + "step": 118 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999940688200693, + "loss": 2.151, + "step": 119 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999394839430648, + "loss": 2.123, + "step": 120 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999382675828353, + "loss": 2.1598, + "step": 121 + }, + { + "epoch": 0.0, + "learning_rate": 0.000199993703912002, + "loss": 2.0637, + "step": 122 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999935798554633, + "loss": 2.0844, + "step": 123 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999345458866893, + "loss": 2.0496, + "step": 124 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999332811162048, + "loss": 2.1444, + "step": 125 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999320042431943, + "loss": 2.0019, + "step": 126 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999307152676732, + "loss": 2.0492, + "step": 127 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999294141896572, + "loss": 2.014, + "step": 128 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999281010091622, + "loss": 2.0702, + "step": 129 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999267757262043, + "loss": 2.2244, + "step": 130 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999254383407987, + "loss": 2.0803, + "step": 131 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999924088852962, + "loss": 2.1006, + "step": 132 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999227272627108, + "loss": 1.9807, + "step": 133 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999213535700614, + "loss": 2.1726, + "step": 134 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999199677750307, + "loss": 1.9621, + "step": 135 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999918569877635, + "loss": 2.1452, + "step": 136 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999171598778913, + "loss": 2.0792, + "step": 137 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999915737775817, + "loss": 2.0909, + "step": 138 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999143035714288, + "loss": 2.1541, + "step": 139 + }, + { + "epoch": 0.0, + "learning_rate": 0.00019999128572647447, + "loss": 2.0567, + "step": 140 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999911398855782, + "loss": 2.1154, + "step": 141 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001999909928344558, + "loss": 2.0285, + "step": 142 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019999084457310903, + "loss": 2.087, + "step": 143 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999906951015398, + "loss": 1.9863, + "step": 144 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999905444197498, + "loss": 1.9535, + "step": 145 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019999039252774093, + "loss": 1.9562, + "step": 146 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019999023942551496, + "loss": 2.0672, + "step": 147 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019999008511307378, + "loss": 2.0068, + "step": 148 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999899295904193, + "loss": 2.067, + "step": 149 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998977285755332, + "loss": 1.9957, + "step": 150 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998961491447782, + "loss": 2.0257, + "step": 151 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998945576119463, + "loss": 2.0212, + "step": 152 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998929539770573, + "loss": 2.0337, + "step": 153 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998913382401304, + "loss": 2.0843, + "step": 154 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998897104011852, + "loss": 2.0952, + "step": 155 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998880704602415, + "loss": 2.0291, + "step": 156 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998864184173193, + "loss": 2.0475, + "step": 157 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998847542724378, + "loss": 2.0223, + "step": 158 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998830780256182, + "loss": 2.1662, + "step": 159 + }, + { + "epoch": 0.01, + "learning_rate": 0.000199988138967688, + "loss": 1.9596, + "step": 160 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998796892262442, + "loss": 2.0822, + "step": 161 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999877976673731, + "loss": 2.0138, + "step": 162 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998762520193611, + "loss": 2.0572, + "step": 163 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998745152631554, + "loss": 2.0095, + "step": 164 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998727664051355, + "loss": 2.1748, + "step": 165 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998710054453217, + "loss": 2.1394, + "step": 166 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998692323837362, + "loss": 2.0004, + "step": 167 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998674472203996, + "loss": 2.0097, + "step": 168 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998656499553338, + "loss": 2.0392, + "step": 169 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998638405885607, + "loss": 1.9423, + "step": 170 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998620191201023, + "loss": 1.9983, + "step": 171 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998601855499804, + "loss": 1.9226, + "step": 172 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998583398782172, + "loss": 2.1775, + "step": 173 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998564821048352, + "loss": 1.9279, + "step": 174 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998546122298568, + "loss": 2.0429, + "step": 175 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998527302533044, + "loss": 1.9846, + "step": 176 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999850836175201, + "loss": 1.9362, + "step": 177 + }, + { + "epoch": 0.01, + "learning_rate": 0.000199984892999557, + "loss": 1.9731, + "step": 178 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998470117144336, + "loss": 1.9784, + "step": 179 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998450813318156, + "loss": 2.0241, + "step": 180 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999843138847739, + "loss": 1.9179, + "step": 181 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998411842622277, + "loss": 2.1113, + "step": 182 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999839217575305, + "loss": 1.8587, + "step": 183 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999837238786995, + "loss": 1.8519, + "step": 184 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998352478973214, + "loss": 1.9495, + "step": 185 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998332449063083, + "loss": 1.9097, + "step": 186 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998312298139803, + "loss": 1.9739, + "step": 187 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998292026203614, + "loss": 1.9311, + "step": 188 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999827163325476, + "loss": 2.0319, + "step": 189 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998251119293493, + "loss": 1.9876, + "step": 190 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998230484320062, + "loss": 2.1169, + "step": 191 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999820972833471, + "loss": 1.9311, + "step": 192 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999818885133769, + "loss": 1.8186, + "step": 193 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999816785332926, + "loss": 1.8765, + "step": 194 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998146734309668, + "loss": 2.0021, + "step": 195 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998125494279174, + "loss": 1.9363, + "step": 196 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998104133238034, + "loss": 1.9467, + "step": 197 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998082651186502, + "loss": 2.0427, + "step": 198 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998061048124845, + "loss": 1.9089, + "step": 199 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998039324053323, + "loss": 1.9065, + "step": 200 + }, + { + "epoch": 0.01, + "eval_loss": 1.9888688325881958, + "eval_runtime": 852.9661, + "eval_samples_per_second": 28.207, + "eval_steps_per_second": 14.104, + "step": 200 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019998017478972191, + "loss": 1.944, + "step": 201 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997995512881724, + "loss": 1.9667, + "step": 202 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997973425782184, + "loss": 1.9624, + "step": 203 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997951217673836, + "loss": 2.0128, + "step": 204 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997928888556952, + "loss": 1.8815, + "step": 205 + }, + { + "epoch": 0.01, + "learning_rate": 0.000199979064384318, + "loss": 1.9884, + "step": 206 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997883867298652, + "loss": 1.9044, + "step": 207 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997861175157782, + "loss": 1.7887, + "step": 208 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997838362009464, + "loss": 2.1397, + "step": 209 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997815427853977, + "loss": 1.9701, + "step": 210 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997792372691592, + "loss": 1.9973, + "step": 211 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997769196522595, + "loss": 2.0358, + "step": 212 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997745899347265, + "loss": 2.028, + "step": 213 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999772248116588, + "loss": 1.9116, + "step": 214 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999769894197873, + "loss": 2.0898, + "step": 215 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999767528178609, + "loss": 1.9648, + "step": 216 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997651500588254, + "loss": 1.9886, + "step": 217 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999762759838551, + "loss": 1.9428, + "step": 218 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997603575178146, + "loss": 1.8897, + "step": 219 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999757943096645, + "loss": 1.9284, + "step": 220 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997555165750716, + "loss": 2.0449, + "step": 221 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997530779531243, + "loss": 1.9207, + "step": 222 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997506272308318, + "loss": 1.9627, + "step": 223 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999748164408224, + "loss": 1.9884, + "step": 224 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999745689485331, + "loss": 1.9745, + "step": 225 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997432024621822, + "loss": 2.1469, + "step": 226 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997407033388084, + "loss": 1.9816, + "step": 227 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997381921152394, + "loss": 2.0786, + "step": 228 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997356687915057, + "loss": 1.9505, + "step": 229 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997331333676378, + "loss": 2.0119, + "step": 230 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997305858436665, + "loss": 1.8978, + "step": 231 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997280262196228, + "loss": 1.9639, + "step": 232 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997254544955372, + "loss": 1.9334, + "step": 233 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999722870671441, + "loss": 2.04, + "step": 234 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997202747473655, + "loss": 1.9726, + "step": 235 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997176667233422, + "loss": 1.9538, + "step": 236 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997150465994026, + "loss": 1.9116, + "step": 237 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997124143755787, + "loss": 1.9431, + "step": 238 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997097700519015, + "loss": 2.0044, + "step": 239 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999707113628404, + "loss": 1.9959, + "step": 240 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999704445105118, + "loss": 1.9369, + "step": 241 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019997017644820758, + "loss": 1.7944, + "step": 242 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996990717593096, + "loss": 2.0183, + "step": 243 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996963669368522, + "loss": 1.8304, + "step": 244 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996936500147366, + "loss": 1.9687, + "step": 245 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999690920992995, + "loss": 2.0874, + "step": 246 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996881798716611, + "loss": 1.951, + "step": 247 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996854266507677, + "loss": 1.9732, + "step": 248 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996826613303482, + "loss": 1.9077, + "step": 249 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996798839104366, + "loss": 1.9507, + "step": 250 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996770943910653, + "loss": 1.9264, + "step": 251 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996742927722692, + "loss": 1.9296, + "step": 252 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996714790540817, + "loss": 1.9627, + "step": 253 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996686532365368, + "loss": 1.9399, + "step": 254 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999665815319669, + "loss": 1.9108, + "step": 255 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996629653035126, + "loss": 1.9512, + "step": 256 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996601031881017, + "loss": 1.9906, + "step": 257 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996572289734715, + "loss": 1.9619, + "step": 258 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996543426596564, + "loss": 2.0583, + "step": 259 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996514442466916, + "loss": 1.8957, + "step": 260 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996485337346118, + "loss": 1.853, + "step": 261 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996456111234527, + "loss": 1.946, + "step": 262 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999642676413249, + "loss": 1.9591, + "step": 263 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996397296040376, + "loss": 1.899, + "step": 264 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996367706958524, + "loss": 2.0258, + "step": 265 + }, + { + "epoch": 0.01, + "learning_rate": 0.000199963379968873, + "loss": 1.9416, + "step": 266 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996308165827066, + "loss": 1.9891, + "step": 267 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996278213778182, + "loss": 1.8309, + "step": 268 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999624814074101, + "loss": 1.9528, + "step": 269 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999621794671591, + "loss": 2.0661, + "step": 270 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996187631703255, + "loss": 2.0169, + "step": 271 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996157195703405, + "loss": 1.7462, + "step": 272 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996126638716734, + "loss": 1.8926, + "step": 273 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996095960743608, + "loss": 1.9738, + "step": 274 + }, + { + "epoch": 0.01, + "learning_rate": 0.000199960651617844, + "loss": 1.7457, + "step": 275 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999603424183948, + "loss": 2.083, + "step": 276 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019996003200909227, + "loss": 1.9792, + "step": 277 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999597203899401, + "loss": 1.8101, + "step": 278 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019995940756094215, + "loss": 1.9171, + "step": 279 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999590935221021, + "loss": 1.9194, + "step": 280 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999587782734239, + "loss": 1.9457, + "step": 281 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999584618149112, + "loss": 1.7139, + "step": 282 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019995814414656792, + "loss": 1.9099, + "step": 283 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999578252683979, + "loss": 1.9807, + "step": 284 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019995750518040498, + "loss": 1.9616, + "step": 285 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019995718388259305, + "loss": 1.909, + "step": 286 + }, + { + "epoch": 0.01, + "learning_rate": 0.000199956861374966, + "loss": 1.9358, + "step": 287 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019995653765752773, + "loss": 1.8919, + "step": 288 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019995621273028214, + "loss": 1.9592, + "step": 289 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019995588659323316, + "loss": 1.7866, + "step": 290 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019995555924638478, + "loss": 1.8337, + "step": 291 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019995523068974094, + "loss": 1.9129, + "step": 292 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019995490092330562, + "loss": 1.8571, + "step": 293 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999545699470828, + "loss": 1.7356, + "step": 294 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019995423776107647, + "loss": 1.9385, + "step": 295 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019995390436529066, + "loss": 1.7429, + "step": 296 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019995356975972944, + "loss": 1.841, + "step": 297 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019995323394439684, + "loss": 1.9021, + "step": 298 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019995289691929693, + "loss": 1.7861, + "step": 299 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019995255868443374, + "loss": 1.7302, + "step": 300 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019995221923981143, + "loss": 1.8806, + "step": 301 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019995187858543408, + "loss": 1.9947, + "step": 302 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999515367213058, + "loss": 1.8789, + "step": 303 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019995119364743077, + "loss": 1.8958, + "step": 304 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999508493638131, + "loss": 2.019, + "step": 305 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019995050387045695, + "loss": 1.8476, + "step": 306 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019995015716736653, + "loss": 1.9116, + "step": 307 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019994980925454607, + "loss": 1.6843, + "step": 308 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999494601319997, + "loss": 1.8986, + "step": 309 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999491097997317, + "loss": 1.9055, + "step": 310 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999487582577463, + "loss": 1.9191, + "step": 311 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019994840550604774, + "loss": 1.9084, + "step": 312 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999480515446403, + "loss": 2.061, + "step": 313 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019994769637352827, + "loss": 2.0198, + "step": 314 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019994733999271596, + "loss": 1.9255, + "step": 315 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019994698240220765, + "loss": 1.7521, + "step": 316 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019994662360200768, + "loss": 1.8283, + "step": 317 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019994626359212038, + "loss": 1.9359, + "step": 318 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019994590237255015, + "loss": 1.7781, + "step": 319 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019994553994330134, + "loss": 1.8472, + "step": 320 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019994517630437833, + "loss": 1.7692, + "step": 321 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999448114557855, + "loss": 1.8144, + "step": 322 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999444453975273, + "loss": 1.9698, + "step": 323 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999440781296082, + "loss": 1.8078, + "step": 324 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019994370965203254, + "loss": 1.8788, + "step": 325 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019994333996480485, + "loss": 2.021, + "step": 326 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999429690679296, + "loss": 1.8789, + "step": 327 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019994259696141126, + "loss": 1.7956, + "step": 328 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019994222364525435, + "loss": 2.0209, + "step": 329 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019994184911946338, + "loss": 1.8677, + "step": 330 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019994147338404288, + "loss": 1.8809, + "step": 331 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999410964389974, + "loss": 1.811, + "step": 332 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019994071828433152, + "loss": 1.7658, + "step": 333 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019994033892004978, + "loss": 1.9991, + "step": 334 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999399583461568, + "loss": 1.8293, + "step": 335 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019993957656265718, + "loss": 1.7935, + "step": 336 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019993919356955554, + "loss": 1.9222, + "step": 337 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999388093668565, + "loss": 1.7614, + "step": 338 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019993842395456477, + "loss": 1.8036, + "step": 339 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019993803733268494, + "loss": 1.9162, + "step": 340 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019993764950122173, + "loss": 1.7528, + "step": 341 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999372604601798, + "loss": 1.9387, + "step": 342 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019993687020956392, + "loss": 1.7121, + "step": 343 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019993647874937874, + "loss": 1.7666, + "step": 344 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019993608607962905, + "loss": 1.6791, + "step": 345 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999356922003196, + "loss": 1.6852, + "step": 346 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019993529711145514, + "loss": 1.7768, + "step": 347 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019993490081304045, + "loss": 1.879, + "step": 348 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999345033050803, + "loss": 1.8973, + "step": 349 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019993410458757956, + "loss": 1.7864, + "step": 350 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019993370466054304, + "loss": 1.7576, + "step": 351 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019993330352397558, + "loss": 1.8737, + "step": 352 + }, + { + "epoch": 0.01, + "learning_rate": 0.000199932901177882, + "loss": 1.9492, + "step": 353 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019993249762226717, + "loss": 1.856, + "step": 354 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019993209285713607, + "loss": 1.835, + "step": 355 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019993168688249346, + "loss": 1.8941, + "step": 356 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019993127969834435, + "loss": 1.8955, + "step": 357 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019993087130469364, + "loss": 1.7771, + "step": 358 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999304617015463, + "loss": 1.723, + "step": 359 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019993005088890723, + "loss": 1.666, + "step": 360 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999296388667814, + "loss": 1.7359, + "step": 361 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019992922563517388, + "loss": 1.8893, + "step": 362 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019992881119408956, + "loss": 1.7899, + "step": 363 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999283955435336, + "loss": 1.8028, + "step": 364 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019992797868351089, + "loss": 1.9153, + "step": 365 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019992756061402655, + "loss": 1.9205, + "step": 366 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019992714133508561, + "loss": 1.7963, + "step": 367 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999267208466932, + "loss": 1.9166, + "step": 368 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019992629914885433, + "loss": 1.8214, + "step": 369 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019992587624157414, + "loss": 1.8386, + "step": 370 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019992545212485776, + "loss": 1.8599, + "step": 371 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019992502679871033, + "loss": 1.7366, + "step": 372 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019992460026313692, + "loss": 1.7519, + "step": 373 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019992417251814282, + "loss": 1.9059, + "step": 374 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019992374356373312, + "loss": 1.8657, + "step": 375 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019992331339991303, + "loss": 1.6957, + "step": 376 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019992288202668777, + "loss": 1.9064, + "step": 377 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999224494440625, + "loss": 1.878, + "step": 378 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019992201565204254, + "loss": 1.7465, + "step": 379 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999215806506331, + "loss": 1.7703, + "step": 380 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999211444398395, + "loss": 1.6892, + "step": 381 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999207070196669, + "loss": 1.7814, + "step": 382 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019992026839012067, + "loss": 1.8346, + "step": 383 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019991982855120614, + "loss": 1.757, + "step": 384 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019991938750292862, + "loss": 1.827, + "step": 385 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019991894524529343, + "loss": 1.6542, + "step": 386 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019991850177830588, + "loss": 1.7841, + "step": 387 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019991805710197142, + "loss": 1.8239, + "step": 388 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999176112162954, + "loss": 1.9053, + "step": 389 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019991716412128322, + "loss": 1.7905, + "step": 390 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999167158169403, + "loss": 1.7313, + "step": 391 + }, + { + "epoch": 0.01, + "learning_rate": 0.000199916266303272, + "loss": 1.8284, + "step": 392 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019991581558028384, + "loss": 1.9175, + "step": 393 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019991536364798125, + "loss": 1.8694, + "step": 394 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999149105063697, + "loss": 1.8067, + "step": 395 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019991445615545465, + "loss": 1.7929, + "step": 396 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019991400059524167, + "loss": 1.7875, + "step": 397 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019991354382573615, + "loss": 1.7609, + "step": 398 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019991308584694375, + "loss": 1.9315, + "step": 399 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019991262665886993, + "loss": 1.764, + "step": 400 + }, + { + "epoch": 0.01, + "eval_loss": 1.8015391826629639, + "eval_runtime": 852.1256, + "eval_samples_per_second": 28.235, + "eval_steps_per_second": 14.118, + "step": 400 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999121662615203, + "loss": 1.7666, + "step": 401 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999117046549004, + "loss": 1.8973, + "step": 402 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999112418390158, + "loss": 1.926, + "step": 403 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999107778138721, + "loss": 1.8158, + "step": 404 + }, + { + "epoch": 0.01, + "learning_rate": 0.000199910312579475, + "loss": 1.8269, + "step": 405 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019990984613583006, + "loss": 1.8637, + "step": 406 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019990937848294292, + "loss": 1.8409, + "step": 407 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019990890962081926, + "loss": 1.761, + "step": 408 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019990843954946478, + "loss": 1.9516, + "step": 409 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019990796826888508, + "loss": 1.9012, + "step": 410 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019990749577908598, + "loss": 1.8334, + "step": 411 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019990702208007313, + "loss": 1.7128, + "step": 412 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019990654717185225, + "loss": 1.9252, + "step": 413 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019990607105442915, + "loss": 1.8302, + "step": 414 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019990559372780954, + "loss": 1.7996, + "step": 415 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019990511519199923, + "loss": 1.8547, + "step": 416 + }, + { + "epoch": 0.01, + "learning_rate": 0.000199904635447004, + "loss": 1.8575, + "step": 417 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019990415449282965, + "loss": 1.687, + "step": 418 + }, + { + "epoch": 0.01, + "learning_rate": 0.000199903672329482, + "loss": 1.782, + "step": 419 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019990318895696688, + "loss": 1.763, + "step": 420 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019990270437529018, + "loss": 1.7777, + "step": 421 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019990221858445773, + "loss": 1.7363, + "step": 422 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999017315844754, + "loss": 1.6896, + "step": 423 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001999012433753491, + "loss": 1.8067, + "step": 424 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019990075395708473, + "loss": 1.7487, + "step": 425 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019990026332968825, + "loss": 1.7469, + "step": 426 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019989977149316554, + "loss": 1.7135, + "step": 427 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001998992784475226, + "loss": 1.7856, + "step": 428 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998987841927654, + "loss": 1.8239, + "step": 429 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998982887288999, + "loss": 1.6931, + "step": 430 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019989779205593209, + "loss": 1.803, + "step": 431 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019989729417386798, + "loss": 1.6568, + "step": 432 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019989679508271361, + "loss": 1.828, + "step": 433 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019989629478247504, + "loss": 1.8274, + "step": 434 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998957932731583, + "loss": 1.786, + "step": 435 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019989529055476946, + "loss": 1.9052, + "step": 436 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998947866273146, + "loss": 1.9547, + "step": 437 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019989428149079982, + "loss": 1.8066, + "step": 438 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019989377514523126, + "loss": 1.72, + "step": 439 + }, + { + "epoch": 0.02, + "learning_rate": 0.000199893267590615, + "loss": 1.7774, + "step": 440 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019989275882695726, + "loss": 1.7855, + "step": 441 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019989224885426412, + "loss": 1.9148, + "step": 442 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019989173767254179, + "loss": 1.7854, + "step": 443 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019989122528179645, + "loss": 1.7884, + "step": 444 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998907116820343, + "loss": 1.8088, + "step": 445 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019989019687326155, + "loss": 1.8205, + "step": 446 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019988968085548448, + "loss": 1.9315, + "step": 447 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019988916362870924, + "loss": 1.8591, + "step": 448 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019988864519294216, + "loss": 1.8569, + "step": 449 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019988812554818953, + "loss": 1.9802, + "step": 450 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019988760469445756, + "loss": 1.6164, + "step": 451 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019988708263175262, + "loss": 1.5703, + "step": 452 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019988655936008102, + "loss": 1.837, + "step": 453 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998860348794491, + "loss": 1.831, + "step": 454 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019988550918986317, + "loss": 1.6483, + "step": 455 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998849822913296, + "loss": 1.8301, + "step": 456 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019988445418385483, + "loss": 1.7487, + "step": 457 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019988392486744517, + "loss": 1.8153, + "step": 458 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998833943421071, + "loss": 1.8274, + "step": 459 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019988286260784696, + "loss": 1.6922, + "step": 460 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019988232966467123, + "loss": 1.6237, + "step": 461 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019988179551258637, + "loss": 1.7134, + "step": 462 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019988126015159884, + "loss": 1.8381, + "step": 463 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998807235817151, + "loss": 1.6303, + "step": 464 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019988018580294168, + "loss": 1.8835, + "step": 465 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019987964681528504, + "loss": 1.8446, + "step": 466 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019987910661875173, + "loss": 1.7553, + "step": 467 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998785652133483, + "loss": 1.7919, + "step": 468 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019987802259908128, + "loss": 1.7873, + "step": 469 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019987747877595727, + "loss": 1.7256, + "step": 470 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998769337439828, + "loss": 1.6815, + "step": 471 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019987638750316452, + "loss": 1.7005, + "step": 472 + }, + { + "epoch": 0.02, + "learning_rate": 0.000199875840053509, + "loss": 1.8814, + "step": 473 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998752913950229, + "loss": 1.7467, + "step": 474 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019987474152771285, + "loss": 1.8733, + "step": 475 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998741904515855, + "loss": 1.7961, + "step": 476 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998736381666475, + "loss": 1.7295, + "step": 477 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019987308467290556, + "loss": 1.73, + "step": 478 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998725299703664, + "loss": 1.8154, + "step": 479 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019987197405903667, + "loss": 1.7869, + "step": 480 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019987141693892315, + "loss": 1.8531, + "step": 481 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019987085861003257, + "loss": 1.6744, + "step": 482 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019987029907237168, + "loss": 1.9387, + "step": 483 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019986973832594726, + "loss": 1.711, + "step": 484 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019986917637076612, + "loss": 1.7568, + "step": 485 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019986861320683502, + "loss": 1.7723, + "step": 486 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019986804883416077, + "loss": 1.7661, + "step": 487 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019986748325275024, + "loss": 1.7865, + "step": 488 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019986691646261027, + "loss": 1.8472, + "step": 489 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998663484637477, + "loss": 1.6882, + "step": 490 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019986577925616944, + "loss": 1.8372, + "step": 491 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019986520883988232, + "loss": 1.7334, + "step": 492 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019986463721489327, + "loss": 1.8774, + "step": 493 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019986406438120925, + "loss": 1.9131, + "step": 494 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019986349033883713, + "loss": 1.7944, + "step": 495 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998629150877839, + "loss": 1.7146, + "step": 496 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019986233862805654, + "loss": 1.861, + "step": 497 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019986176095966194, + "loss": 1.73, + "step": 498 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019986118208260717, + "loss": 1.899, + "step": 499 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019986060199689922, + "loss": 1.8272, + "step": 500 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019986002070254512, + "loss": 1.7971, + "step": 501 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019985943819955185, + "loss": 1.6402, + "step": 502 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019985885448792654, + "loss": 1.8299, + "step": 503 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998582695676762, + "loss": 1.7223, + "step": 504 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019985768343880794, + "loss": 1.8196, + "step": 505 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998570961013288, + "loss": 1.6767, + "step": 506 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019985650755524595, + "loss": 1.8557, + "step": 507 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998559178005665, + "loss": 1.6043, + "step": 508 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019985532683729763, + "loss": 1.8455, + "step": 509 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019985473466544639, + "loss": 1.7814, + "step": 510 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019985414128502, + "loss": 1.8217, + "step": 511 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019985354669602563, + "loss": 1.8071, + "step": 512 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998529508984705, + "loss": 1.8467, + "step": 513 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998523538923618, + "loss": 1.8648, + "step": 514 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019985175567770676, + "loss": 1.6727, + "step": 515 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019985115625451266, + "loss": 1.777, + "step": 516 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998505556227867, + "loss": 1.7031, + "step": 517 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019984995378253618, + "loss": 1.7819, + "step": 518 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019984935073376835, + "loss": 1.6425, + "step": 519 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019984874647649057, + "loss": 1.7842, + "step": 520 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019984814101071008, + "loss": 1.7929, + "step": 521 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019984753433643427, + "loss": 1.7111, + "step": 522 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019984692645367042, + "loss": 1.5817, + "step": 523 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019984631736242597, + "loss": 1.8182, + "step": 524 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019984570706270822, + "loss": 1.8774, + "step": 525 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019984509555452461, + "loss": 1.6988, + "step": 526 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998444828378825, + "loss": 1.7143, + "step": 527 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019984386891278933, + "loss": 1.7935, + "step": 528 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998432537792525, + "loss": 1.6587, + "step": 529 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998426374372795, + "loss": 1.658, + "step": 530 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019984201988687775, + "loss": 1.7545, + "step": 531 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019984140112805474, + "loss": 1.7021, + "step": 532 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019984078116081798, + "loss": 1.6885, + "step": 533 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019984015998517494, + "loss": 1.5913, + "step": 534 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019983953760113315, + "loss": 1.7834, + "step": 535 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019983891400870014, + "loss": 1.6866, + "step": 536 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019983828920788348, + "loss": 1.7182, + "step": 537 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019983766319869067, + "loss": 1.608, + "step": 538 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998370359811294, + "loss": 1.7012, + "step": 539 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019983640755520714, + "loss": 1.7889, + "step": 540 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019983577792093157, + "loss": 1.6929, + "step": 541 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998351470783103, + "loss": 1.6166, + "step": 542 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019983451502735092, + "loss": 1.8339, + "step": 543 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019983388176806116, + "loss": 1.8181, + "step": 544 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998332473004486, + "loss": 1.7042, + "step": 545 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019983261162452102, + "loss": 1.8883, + "step": 546 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019983197474028597, + "loss": 1.792, + "step": 547 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998313366477513, + "loss": 1.7922, + "step": 548 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019983069734692463, + "loss": 1.7334, + "step": 549 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019983005683781377, + "loss": 1.698, + "step": 550 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019982941512042642, + "loss": 1.8199, + "step": 551 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998287721947704, + "loss": 1.7954, + "step": 552 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019982812806085346, + "loss": 1.7765, + "step": 553 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019982748271868338, + "loss": 1.7966, + "step": 554 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019982683616826802, + "loss": 1.7617, + "step": 555 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019982618840961515, + "loss": 1.871, + "step": 556 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019982553944273264, + "loss": 1.5259, + "step": 557 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019982488926762831, + "loss": 1.6822, + "step": 558 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019982423788431007, + "loss": 1.7232, + "step": 559 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019982358529278585, + "loss": 1.8846, + "step": 560 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019982293149306343, + "loss": 1.6727, + "step": 561 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019982227648515083, + "loss": 1.7664, + "step": 562 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019982162026905588, + "loss": 1.6636, + "step": 563 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998209628447866, + "loss": 1.7143, + "step": 564 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019982030421235092, + "loss": 1.7212, + "step": 565 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019981964437175683, + "loss": 1.6606, + "step": 566 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019981898332301228, + "loss": 1.6258, + "step": 567 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019981832106612528, + "loss": 1.6665, + "step": 568 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019981765760110386, + "loss": 1.6843, + "step": 569 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019981699292795607, + "loss": 1.6702, + "step": 570 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998163270466899, + "loss": 1.7277, + "step": 571 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019981565995731346, + "loss": 1.6348, + "step": 572 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019981499165983482, + "loss": 1.5822, + "step": 573 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019981432215426202, + "loss": 1.628, + "step": 574 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998136514406032, + "loss": 1.6691, + "step": 575 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998129795188665, + "loss": 1.6881, + "step": 576 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019981230638906, + "loss": 1.6989, + "step": 577 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019981163205119186, + "loss": 1.7896, + "step": 578 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019981095650527028, + "loss": 1.5593, + "step": 579 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019981027975130342, + "loss": 1.5862, + "step": 580 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019980960178929947, + "loss": 1.8094, + "step": 581 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019980892261926657, + "loss": 1.7799, + "step": 582 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019980824224121303, + "loss": 1.7546, + "step": 583 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019980756065514707, + "loss": 1.6407, + "step": 584 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019980687786107693, + "loss": 1.761, + "step": 585 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019980619385901084, + "loss": 1.8104, + "step": 586 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001998055086489571, + "loss": 1.6515, + "step": 587 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019980482223092404, + "loss": 1.7343, + "step": 588 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019980413460491992, + "loss": 1.5467, + "step": 589 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019980344577095308, + "loss": 1.7256, + "step": 590 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019980275572903185, + "loss": 1.7352, + "step": 591 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019980206447916458, + "loss": 1.621, + "step": 592 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019980137202135967, + "loss": 1.6919, + "step": 593 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019980067835562547, + "loss": 1.6409, + "step": 594 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019979998348197038, + "loss": 1.7146, + "step": 595 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019979928740040278, + "loss": 1.8506, + "step": 596 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019979859011093115, + "loss": 1.6419, + "step": 597 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019979789161356392, + "loss": 1.7103, + "step": 598 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019979719190830951, + "loss": 1.6468, + "step": 599 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019979649099517642, + "loss": 1.6177, + "step": 600 + }, + { + "epoch": 0.02, + "eval_loss": 1.677674651145935, + "eval_runtime": 855.2981, + "eval_samples_per_second": 28.131, + "eval_steps_per_second": 14.065, + "step": 600 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019979578887417313, + "loss": 1.6717, + "step": 601 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019979508554530812, + "loss": 1.6836, + "step": 602 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997943810085899, + "loss": 1.716, + "step": 603 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019979367526402704, + "loss": 1.7325, + "step": 604 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019979296831162802, + "loss": 1.7099, + "step": 605 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019979226015140147, + "loss": 1.6586, + "step": 606 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997915507833559, + "loss": 1.6463, + "step": 607 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019979084020749988, + "loss": 1.5771, + "step": 608 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997901284238421, + "loss": 1.7918, + "step": 609 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997894154323911, + "loss": 1.7063, + "step": 610 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997887012331555, + "loss": 1.7194, + "step": 611 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019978798582614401, + "loss": 1.6628, + "step": 612 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019978726921136527, + "loss": 1.5552, + "step": 613 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019978655138882788, + "loss": 1.6591, + "step": 614 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019978583235854064, + "loss": 1.7087, + "step": 615 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019978511212051216, + "loss": 1.7003, + "step": 616 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997843906747512, + "loss": 1.7112, + "step": 617 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019978366802126649, + "loss": 1.6883, + "step": 618 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997829441600668, + "loss": 1.8531, + "step": 619 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019978221909116084, + "loss": 1.5988, + "step": 620 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997814928145574, + "loss": 1.7019, + "step": 621 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997807653302653, + "loss": 1.6299, + "step": 622 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019978003663829333, + "loss": 1.6963, + "step": 623 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997793067386503, + "loss": 1.6828, + "step": 624 + }, + { + "epoch": 0.02, + "learning_rate": 0.000199778575631345, + "loss": 1.9357, + "step": 625 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997778433163864, + "loss": 1.6607, + "step": 626 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019977710979378325, + "loss": 1.7801, + "step": 627 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019977637506354446, + "loss": 1.62, + "step": 628 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019977563912567897, + "loss": 1.6274, + "step": 629 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019977490198019564, + "loss": 1.4263, + "step": 630 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019977416362710338, + "loss": 1.532, + "step": 631 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019977342406641118, + "loss": 1.4962, + "step": 632 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019977268329812793, + "loss": 1.5777, + "step": 633 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019977194132226263, + "loss": 1.7926, + "step": 634 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019977119813882426, + "loss": 1.6464, + "step": 635 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997704537478218, + "loss": 1.7884, + "step": 636 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997697081492643, + "loss": 1.6688, + "step": 637 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019976896134316072, + "loss": 1.6837, + "step": 638 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019976821332952013, + "loss": 1.7799, + "step": 639 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997674641083516, + "loss": 1.6806, + "step": 640 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997667136796642, + "loss": 1.7332, + "step": 641 + }, + { + "epoch": 0.02, + "learning_rate": 0.000199765962043467, + "loss": 1.7577, + "step": 642 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019976520919976908, + "loss": 1.7549, + "step": 643 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019976445514857956, + "loss": 1.6703, + "step": 644 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997636998899076, + "loss": 1.6002, + "step": 645 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019976294342376226, + "loss": 1.6214, + "step": 646 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997621857501528, + "loss": 1.5355, + "step": 647 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019976142686908832, + "loss": 1.5834, + "step": 648 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019976066678057804, + "loss": 1.6887, + "step": 649 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019975990548463113, + "loss": 1.7532, + "step": 650 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997591429812568, + "loss": 1.5203, + "step": 651 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019975837927046434, + "loss": 1.6618, + "step": 652 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019975761435226292, + "loss": 1.6847, + "step": 653 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019975684822666186, + "loss": 1.6859, + "step": 654 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019975608089367036, + "loss": 1.6125, + "step": 655 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019975531235329777, + "loss": 1.5429, + "step": 656 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019975454260555338, + "loss": 1.6258, + "step": 657 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997537716504465, + "loss": 1.7018, + "step": 658 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019975299948798644, + "loss": 1.6068, + "step": 659 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019975222611818256, + "loss": 1.5509, + "step": 660 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019975145154104427, + "loss": 1.6134, + "step": 661 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019975067575658085, + "loss": 1.7913, + "step": 662 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019974989876480175, + "loss": 1.622, + "step": 663 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997491205657164, + "loss": 1.7323, + "step": 664 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019974834115933415, + "loss": 1.6377, + "step": 665 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019974756054566445, + "loss": 1.6395, + "step": 666 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019974677872471678, + "loss": 1.5828, + "step": 667 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997459956965006, + "loss": 1.7056, + "step": 668 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019974521146102537, + "loss": 1.5637, + "step": 669 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019974442601830057, + "loss": 1.5592, + "step": 670 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019974363936833573, + "loss": 1.6444, + "step": 671 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019974285151114037, + "loss": 1.7274, + "step": 672 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019974206244672402, + "loss": 1.5493, + "step": 673 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997412721750962, + "loss": 1.7595, + "step": 674 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019974048069626655, + "loss": 1.7434, + "step": 675 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019973968801024458, + "loss": 1.5868, + "step": 676 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997388941170399, + "loss": 1.589, + "step": 677 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019973809901666214, + "loss": 1.6291, + "step": 678 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997373027091209, + "loss": 1.7207, + "step": 679 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019973650519442584, + "loss": 1.6464, + "step": 680 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997357064725866, + "loss": 1.5749, + "step": 681 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019973490654361285, + "loss": 1.6073, + "step": 682 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019973410540751426, + "loss": 1.7443, + "step": 683 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019973330306430052, + "loss": 1.5342, + "step": 684 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019973249951398136, + "loss": 1.5949, + "step": 685 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019973169475656652, + "loss": 1.5546, + "step": 686 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019973088879206573, + "loss": 1.5824, + "step": 687 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019973008162048873, + "loss": 1.5585, + "step": 688 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997292732418453, + "loss": 1.6072, + "step": 689 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019972846365614523, + "loss": 1.5591, + "step": 690 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019972765286339826, + "loss": 1.7423, + "step": 691 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997268408636143, + "loss": 1.5292, + "step": 692 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019972602765680312, + "loss": 1.4959, + "step": 693 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019972521324297456, + "loss": 1.6579, + "step": 694 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019972439762213853, + "loss": 1.5467, + "step": 695 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019972358079430483, + "loss": 1.8022, + "step": 696 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997227627594834, + "loss": 1.6216, + "step": 697 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019972194351768407, + "loss": 1.7475, + "step": 698 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019972112306891685, + "loss": 1.4679, + "step": 699 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019972030141319163, + "loss": 1.6484, + "step": 700 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019971947855051833, + "loss": 1.6816, + "step": 701 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019971865448090693, + "loss": 1.717, + "step": 702 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001997178292043674, + "loss": 1.5418, + "step": 703 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019971700272090976, + "loss": 1.563, + "step": 704 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019971617503054397, + "loss": 1.7972, + "step": 705 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019971534613328005, + "loss": 1.5376, + "step": 706 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019971451602912804, + "loss": 1.6266, + "step": 707 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019971368471809805, + "loss": 1.6289, + "step": 708 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019971285220020003, + "loss": 1.695, + "step": 709 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019971201847544413, + "loss": 1.7424, + "step": 710 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019971118354384043, + "loss": 1.5404, + "step": 711 + }, + { + "epoch": 0.02, + "learning_rate": 0.000199710347405399, + "loss": 1.5671, + "step": 712 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019970951006013, + "loss": 1.6633, + "step": 713 + }, + { + "epoch": 0.02, + "learning_rate": 0.00019970867150804353, + "loss": 1.5156, + "step": 714 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019970783174914978, + "loss": 1.6924, + "step": 715 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019970699078345893, + "loss": 1.6776, + "step": 716 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019970614861098107, + "loss": 1.7459, + "step": 717 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019970530523172645, + "loss": 1.6395, + "step": 718 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001997044606457053, + "loss": 1.5646, + "step": 719 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001997036148529278, + "loss": 1.5496, + "step": 720 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001997027678534042, + "loss": 1.6403, + "step": 721 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019970191964714478, + "loss": 1.682, + "step": 722 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019970107023415976, + "loss": 1.7485, + "step": 723 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019970021961445946, + "loss": 1.7541, + "step": 724 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019969936778805415, + "loss": 1.467, + "step": 725 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001996985147549541, + "loss": 1.5398, + "step": 726 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019969766051516975, + "loss": 1.7044, + "step": 727 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019969680506871137, + "loss": 1.6739, + "step": 728 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001996959484155893, + "loss": 1.5621, + "step": 729 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019969509055581388, + "loss": 1.4948, + "step": 730 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019969423148939557, + "loss": 1.5404, + "step": 731 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019969337121634472, + "loss": 1.6805, + "step": 732 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019969250973667175, + "loss": 1.5032, + "step": 733 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019969164705038712, + "loss": 1.6408, + "step": 734 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019969078315750123, + "loss": 1.6475, + "step": 735 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019968991805802456, + "loss": 1.5631, + "step": 736 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019968905175196756, + "loss": 1.782, + "step": 737 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019968818423934072, + "loss": 1.6239, + "step": 738 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019968731552015453, + "loss": 1.4891, + "step": 739 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019968644559441954, + "loss": 1.5504, + "step": 740 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019968557446214627, + "loss": 1.5642, + "step": 741 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019968470212334522, + "loss": 1.5692, + "step": 742 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019968382857802702, + "loss": 1.5969, + "step": 743 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019968295382620217, + "loss": 1.657, + "step": 744 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019968207786788132, + "loss": 1.66, + "step": 745 + }, + { + "epoch": 0.03, + "learning_rate": 0.000199681200703075, + "loss": 1.6166, + "step": 746 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019968032233179392, + "loss": 1.6924, + "step": 747 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019967944275404864, + "loss": 1.55, + "step": 748 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019967856196984981, + "loss": 1.7634, + "step": 749 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019967767997920813, + "loss": 1.652, + "step": 750 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019967679678213425, + "loss": 1.5127, + "step": 751 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019967591237863883, + "loss": 1.586, + "step": 752 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019967502676873265, + "loss": 1.6856, + "step": 753 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019967413995242636, + "loss": 1.6432, + "step": 754 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019967325192973072, + "loss": 1.6175, + "step": 755 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019967236270065648, + "loss": 1.5103, + "step": 756 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019967147226521438, + "loss": 1.6074, + "step": 757 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019967058062341525, + "loss": 1.6773, + "step": 758 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019966968777526982, + "loss": 1.7853, + "step": 759 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019966879372078892, + "loss": 1.6245, + "step": 760 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019966789845998338, + "loss": 1.63, + "step": 761 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019966700199286407, + "loss": 1.5437, + "step": 762 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019966610431944174, + "loss": 1.6225, + "step": 763 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019966520543972734, + "loss": 1.5221, + "step": 764 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019966430535373175, + "loss": 1.7629, + "step": 765 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001996634040614658, + "loss": 1.5211, + "step": 766 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019966250156294049, + "loss": 1.5929, + "step": 767 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019966159785816663, + "loss": 1.723, + "step": 768 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019966069294715525, + "loss": 1.564, + "step": 769 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019965978682991725, + "loss": 1.6451, + "step": 770 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019965887950646363, + "loss": 1.4646, + "step": 771 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001996579709768054, + "loss": 1.5952, + "step": 772 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001996570612409535, + "loss": 1.6318, + "step": 773 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019965615029891894, + "loss": 1.6843, + "step": 774 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019965523815071274, + "loss": 1.654, + "step": 775 + }, + { + "epoch": 0.03, + "learning_rate": 0.000199654324796346, + "loss": 1.6399, + "step": 776 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001996534102358297, + "loss": 1.5391, + "step": 777 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019965249446917497, + "loss": 1.6739, + "step": 778 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019965157749639287, + "loss": 1.6331, + "step": 779 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001996506593174945, + "loss": 1.6259, + "step": 780 + }, + { + "epoch": 0.03, + "learning_rate": 0.000199649739932491, + "loss": 1.4002, + "step": 781 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019964881934139342, + "loss": 1.425, + "step": 782 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019964789754421295, + "loss": 1.7722, + "step": 783 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001996469745409608, + "loss": 1.5814, + "step": 784 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019964605033164805, + "loss": 1.7721, + "step": 785 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019964512491628592, + "loss": 1.571, + "step": 786 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019964419829488565, + "loss": 1.5564, + "step": 787 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001996432704674584, + "loss": 1.5317, + "step": 788 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019964234143401543, + "loss": 1.3829, + "step": 789 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019964141119456797, + "loss": 1.6002, + "step": 790 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019964047974912729, + "loss": 1.5955, + "step": 791 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019963954709770464, + "loss": 1.6641, + "step": 792 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019963861324031134, + "loss": 1.3779, + "step": 793 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001996376781769587, + "loss": 1.4325, + "step": 794 + }, + { + "epoch": 0.03, + "learning_rate": 0.000199636741907658, + "loss": 1.6911, + "step": 795 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019963580443242056, + "loss": 1.6491, + "step": 796 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001996348657512578, + "loss": 1.6682, + "step": 797 + }, + { + "epoch": 0.03, + "learning_rate": 0.000199633925864181, + "loss": 1.4742, + "step": 798 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001996329847712016, + "loss": 1.6766, + "step": 799 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019963204247233095, + "loss": 1.5756, + "step": 800 + }, + { + "epoch": 0.03, + "eval_loss": 1.5861952304840088, + "eval_runtime": 843.9394, + "eval_samples_per_second": 28.509, + "eval_steps_per_second": 14.255, + "step": 800 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019963109896758047, + "loss": 1.6516, + "step": 801 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001996301542569616, + "loss": 1.59, + "step": 802 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019962920834048573, + "loss": 1.6031, + "step": 803 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019962826121816432, + "loss": 1.5271, + "step": 804 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019962731289000884, + "loss": 1.732, + "step": 805 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019962636335603079, + "loss": 1.5412, + "step": 806 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019962541261624164, + "loss": 1.6285, + "step": 807 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001996244606706529, + "loss": 1.5039, + "step": 808 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001996235075192761, + "loss": 1.6525, + "step": 809 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019962255316212274, + "loss": 1.4973, + "step": 810 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019962159759920445, + "loss": 1.5777, + "step": 811 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001996206408305327, + "loss": 1.5993, + "step": 812 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019961968285611912, + "loss": 1.6446, + "step": 813 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001996187236759753, + "loss": 1.6184, + "step": 814 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001996177632901129, + "loss": 1.4846, + "step": 815 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019961680169854344, + "loss": 1.4641, + "step": 816 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019961583890127865, + "loss": 1.6112, + "step": 817 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001996148748983301, + "loss": 1.5912, + "step": 818 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019961390968970953, + "loss": 1.6099, + "step": 819 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019961294327542858, + "loss": 1.5493, + "step": 820 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019961197565549897, + "loss": 1.6337, + "step": 821 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019961100682993238, + "loss": 1.4759, + "step": 822 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019961003679874062, + "loss": 1.5404, + "step": 823 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019960906556193534, + "loss": 1.6279, + "step": 824 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019960809311952827, + "loss": 1.514, + "step": 825 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001996071194715313, + "loss": 1.4677, + "step": 826 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019960614461795616, + "loss": 1.6278, + "step": 827 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019960516855881458, + "loss": 1.4631, + "step": 828 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019960419129411847, + "loss": 1.5898, + "step": 829 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001996032128238796, + "loss": 1.5253, + "step": 830 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019960223314810987, + "loss": 1.5117, + "step": 831 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019960125226682105, + "loss": 1.7111, + "step": 832 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019960027018002508, + "loss": 1.5224, + "step": 833 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019959928688773385, + "loss": 1.4446, + "step": 834 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001995983023899592, + "loss": 1.6854, + "step": 835 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001995973166867131, + "loss": 1.6591, + "step": 836 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019959632977800752, + "loss": 1.4695, + "step": 837 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019959534166385427, + "loss": 1.6047, + "step": 838 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019959435234426543, + "loss": 1.633, + "step": 839 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019959336181925292, + "loss": 1.7428, + "step": 840 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019959237008882873, + "loss": 1.6543, + "step": 841 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019959137715300492, + "loss": 1.6832, + "step": 842 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019959038301179343, + "loss": 1.4911, + "step": 843 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019958938766520635, + "loss": 1.6603, + "step": 844 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019958839111325566, + "loss": 1.6137, + "step": 845 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001995873933559535, + "loss": 1.5178, + "step": 846 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019958639439331192, + "loss": 1.4348, + "step": 847 + }, + { + "epoch": 0.03, + "learning_rate": 0.000199585394225343, + "loss": 1.6197, + "step": 848 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019958439285205882, + "loss": 1.5359, + "step": 849 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019958339027347153, + "loss": 1.6809, + "step": 850 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019958238648959327, + "loss": 1.6029, + "step": 851 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001995813815004362, + "loss": 1.4948, + "step": 852 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001995803753060124, + "loss": 1.4977, + "step": 853 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001995793679063342, + "loss": 1.5217, + "step": 854 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019957835930141363, + "loss": 1.5443, + "step": 855 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019957734949126304, + "loss": 1.6297, + "step": 856 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019957633847589453, + "loss": 1.6591, + "step": 857 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019957532625532043, + "loss": 1.6353, + "step": 858 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019957431282955292, + "loss": 1.6561, + "step": 859 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001995732981986043, + "loss": 1.5058, + "step": 860 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019957228236248687, + "loss": 1.6526, + "step": 861 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019957126532121292, + "loss": 1.6292, + "step": 862 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001995702470747947, + "loss": 1.5383, + "step": 863 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019956922762324458, + "loss": 1.6926, + "step": 864 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019956820696657494, + "loss": 1.5685, + "step": 865 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019956718510479808, + "loss": 1.5272, + "step": 866 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019956616203792635, + "loss": 1.589, + "step": 867 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019956513776597218, + "loss": 1.66, + "step": 868 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019956411228894794, + "loss": 1.4801, + "step": 869 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019956308560686606, + "loss": 1.4821, + "step": 870 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019956205771973893, + "loss": 1.6331, + "step": 871 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019956102862757905, + "loss": 1.5814, + "step": 872 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001995599983303988, + "loss": 1.4973, + "step": 873 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019955896682821074, + "loss": 1.6737, + "step": 874 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019955793412102727, + "loss": 1.6168, + "step": 875 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019955690020886094, + "loss": 1.6751, + "step": 876 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019955586509172427, + "loss": 1.3353, + "step": 877 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019955482876962975, + "loss": 1.7037, + "step": 878 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019955379124258994, + "loss": 1.5656, + "step": 879 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019955275251061738, + "loss": 1.5876, + "step": 880 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001995517125737247, + "loss": 1.5621, + "step": 881 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001995506714319244, + "loss": 1.4952, + "step": 882 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019954962908522915, + "loss": 1.3719, + "step": 883 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019954858553365153, + "loss": 1.5169, + "step": 884 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019954754077720425, + "loss": 1.4917, + "step": 885 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019954649481589983, + "loss": 1.552, + "step": 886 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019954544764975098, + "loss": 1.5217, + "step": 887 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001995443992787704, + "loss": 1.4747, + "step": 888 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019954334970297076, + "loss": 1.5358, + "step": 889 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001995422989223648, + "loss": 1.5091, + "step": 890 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019954124693696517, + "loss": 1.6436, + "step": 891 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019954019374678462, + "loss": 1.6061, + "step": 892 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019953913935183594, + "loss": 1.5423, + "step": 893 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019953808375213188, + "loss": 1.5426, + "step": 894 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001995370269476852, + "loss": 1.4836, + "step": 895 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019953596893850864, + "loss": 1.533, + "step": 896 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001995349097246151, + "loss": 1.5278, + "step": 897 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019953384930601736, + "loss": 1.7081, + "step": 898 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019953278768272825, + "loss": 1.5378, + "step": 899 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001995317248547606, + "loss": 1.5865, + "step": 900 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019953066082212733, + "loss": 1.4203, + "step": 901 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019952959558484126, + "loss": 1.6331, + "step": 902 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019952852914291528, + "loss": 1.6955, + "step": 903 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019952746149636238, + "loss": 1.4203, + "step": 904 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019952639264519538, + "loss": 1.5797, + "step": 905 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019952532258942732, + "loss": 1.5074, + "step": 906 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019952425132907102, + "loss": 1.7455, + "step": 907 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019952317886413957, + "loss": 1.4792, + "step": 908 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001995221051946459, + "loss": 1.4953, + "step": 909 + }, + { + "epoch": 0.03, + "learning_rate": 0.000199521030320603, + "loss": 1.4619, + "step": 910 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019951995424202386, + "loss": 1.6254, + "step": 911 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019951887695892153, + "loss": 1.5158, + "step": 912 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019951779847130906, + "loss": 1.4869, + "step": 913 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001995167187791995, + "loss": 1.5295, + "step": 914 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001995156378826059, + "loss": 1.6046, + "step": 915 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019951455578154137, + "loss": 1.5768, + "step": 916 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019951347247601896, + "loss": 1.5046, + "step": 917 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019951238796605183, + "loss": 1.5135, + "step": 918 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019951130225165308, + "loss": 1.4209, + "step": 919 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019951021533283584, + "loss": 1.5117, + "step": 920 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019950912720961332, + "loss": 1.4965, + "step": 921 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019950803788199863, + "loss": 1.4784, + "step": 922 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019950694735000496, + "loss": 1.4269, + "step": 923 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019950585561364555, + "loss": 1.4997, + "step": 924 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019950476267293358, + "loss": 1.5666, + "step": 925 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001995036685278823, + "loss": 1.6009, + "step": 926 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001995025731785049, + "loss": 1.6578, + "step": 927 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019950147662481472, + "loss": 1.5251, + "step": 928 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019950037886682498, + "loss": 1.5513, + "step": 929 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019949927990454898, + "loss": 1.5817, + "step": 930 + }, + { + "epoch": 0.03, + "learning_rate": 0.000199498179738, + "loss": 1.6309, + "step": 931 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019949707836719138, + "loss": 1.5056, + "step": 932 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019949597579213646, + "loss": 1.6148, + "step": 933 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019949487201284852, + "loss": 1.4986, + "step": 934 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019949376702934103, + "loss": 1.3856, + "step": 935 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019949266084162725, + "loss": 1.5133, + "step": 936 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019949155344972064, + "loss": 1.5612, + "step": 937 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001994904448536346, + "loss": 1.5998, + "step": 938 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019948933505338249, + "loss": 1.4764, + "step": 939 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019948822404897785, + "loss": 1.6608, + "step": 940 + }, + { + "epoch": 0.03, + "learning_rate": 0.000199487111840434, + "loss": 1.4174, + "step": 941 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001994859984277645, + "loss": 1.5292, + "step": 942 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019948488381098275, + "loss": 1.5941, + "step": 943 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001994837679901023, + "loss": 1.4507, + "step": 944 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019948265096513662, + "loss": 1.545, + "step": 945 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019948153273609926, + "loss": 1.46, + "step": 946 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019948041330300373, + "loss": 1.6386, + "step": 947 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001994792926658636, + "loss": 1.4438, + "step": 948 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001994781708246924, + "loss": 1.459, + "step": 949 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019947704777950373, + "loss": 1.5635, + "step": 950 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019947592353031118, + "loss": 1.458, + "step": 951 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019947479807712836, + "loss": 1.4895, + "step": 952 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001994736714199689, + "loss": 1.6264, + "step": 953 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001994725435588464, + "loss": 1.4972, + "step": 954 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019947141449377456, + "loss": 1.326, + "step": 955 + }, + { + "epoch": 0.03, + "learning_rate": 0.000199470284224767, + "loss": 1.383, + "step": 956 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019946915275183743, + "loss": 1.5017, + "step": 957 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019946802007499956, + "loss": 1.6048, + "step": 958 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019946688619426706, + "loss": 1.4516, + "step": 959 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019946575110965363, + "loss": 1.5359, + "step": 960 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019946461482117308, + "loss": 1.4337, + "step": 961 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019946347732883917, + "loss": 1.6624, + "step": 962 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019946233863266558, + "loss": 1.4409, + "step": 963 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019946119873266613, + "loss": 1.5586, + "step": 964 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019946005762885464, + "loss": 1.4583, + "step": 965 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019945891532124495, + "loss": 1.4828, + "step": 966 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019945777180985078, + "loss": 1.57, + "step": 967 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019945662709468608, + "loss": 1.4665, + "step": 968 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019945548117576465, + "loss": 1.4811, + "step": 969 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019945433405310034, + "loss": 1.3989, + "step": 970 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001994531857267071, + "loss": 1.6084, + "step": 971 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019945203619659875, + "loss": 1.3859, + "step": 972 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019945088546278927, + "loss": 1.5504, + "step": 973 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019944973352529254, + "loss": 1.5543, + "step": 974 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019944858038412256, + "loss": 1.5585, + "step": 975 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001994474260392932, + "loss": 1.4154, + "step": 976 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019944627049081853, + "loss": 1.5861, + "step": 977 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019944511373871246, + "loss": 1.5819, + "step": 978 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019944395578298902, + "loss": 1.6049, + "step": 979 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019944279662366222, + "loss": 1.4866, + "step": 980 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019944163626074612, + "loss": 1.5212, + "step": 981 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019944047469425474, + "loss": 1.6071, + "step": 982 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001994393119242021, + "loss": 1.527, + "step": 983 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019943814795060234, + "loss": 1.4864, + "step": 984 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001994369827734695, + "loss": 1.454, + "step": 985 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001994358163928177, + "loss": 1.539, + "step": 986 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019943464880866108, + "loss": 1.6056, + "step": 987 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019943348002101371, + "loss": 1.5323, + "step": 988 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019943231002988982, + "loss": 1.4323, + "step": 989 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001994311388353035, + "loss": 1.4786, + "step": 990 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019942996643726893, + "loss": 1.4925, + "step": 991 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019942879283580035, + "loss": 1.5982, + "step": 992 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019942761803091194, + "loss": 1.5688, + "step": 993 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019942644202261791, + "loss": 1.6566, + "step": 994 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001994252648109325, + "loss": 1.571, + "step": 995 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019942408639586994, + "loss": 1.5055, + "step": 996 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019942290677744452, + "loss": 1.4047, + "step": 997 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001994217259556705, + "loss": 1.4665, + "step": 998 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019942054393056222, + "loss": 1.4866, + "step": 999 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001994193607021339, + "loss": 1.4847, + "step": 1000 + }, + { + "epoch": 0.03, + "eval_loss": 1.5133675336837769, + "eval_runtime": 846.352, + "eval_samples_per_second": 28.428, + "eval_steps_per_second": 14.214, + "step": 1000 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019941817627039992, + "loss": 1.623, + "step": 1001 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019941699063537457, + "loss": 1.4983, + "step": 1002 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019941580379707226, + "loss": 1.5352, + "step": 1003 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019941461575550735, + "loss": 1.4337, + "step": 1004 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019941342651069418, + "loss": 1.4327, + "step": 1005 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019941223606264715, + "loss": 1.4835, + "step": 1006 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019941104441138067, + "loss": 1.4571, + "step": 1007 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001994098515569092, + "loss": 1.5587, + "step": 1008 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019940865749924714, + "loss": 1.6487, + "step": 1009 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019940746223840892, + "loss": 1.4038, + "step": 1010 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019940626577440905, + "loss": 1.5395, + "step": 1011 + }, + { + "epoch": 0.04, + "learning_rate": 0.000199405068107262, + "loss": 1.5219, + "step": 1012 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019940386923698227, + "loss": 1.6292, + "step": 1013 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019940266916358438, + "loss": 1.4952, + "step": 1014 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001994014678870828, + "loss": 1.5659, + "step": 1015 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019940026540749215, + "loss": 1.593, + "step": 1016 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019939906172482692, + "loss": 1.5823, + "step": 1017 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019939785683910173, + "loss": 1.4469, + "step": 1018 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001993966507503311, + "loss": 1.7027, + "step": 1019 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019939544345852966, + "loss": 1.5539, + "step": 1020 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019939423496371204, + "loss": 1.5161, + "step": 1021 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019939302526589286, + "loss": 1.3582, + "step": 1022 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019939181436508672, + "loss": 1.4165, + "step": 1023 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019939060226130834, + "loss": 1.361, + "step": 1024 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019938938895457236, + "loss": 1.5114, + "step": 1025 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019938817444489345, + "loss": 1.5797, + "step": 1026 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019938695873228631, + "loss": 1.6674, + "step": 1027 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019938574181676568, + "loss": 1.4633, + "step": 1028 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001993845236983463, + "loss": 1.5057, + "step": 1029 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019938330437704286, + "loss": 1.5081, + "step": 1030 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019938208385287016, + "loss": 1.4946, + "step": 1031 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019938086212584297, + "loss": 1.4018, + "step": 1032 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019937963919597603, + "loss": 1.6042, + "step": 1033 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019937841506328423, + "loss": 1.473, + "step": 1034 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001993771897277823, + "loss": 1.5224, + "step": 1035 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001993759631894851, + "loss": 1.6868, + "step": 1036 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001993747354484075, + "loss": 1.628, + "step": 1037 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019937350650456434, + "loss": 1.6157, + "step": 1038 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019937227635797049, + "loss": 1.397, + "step": 1039 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019937104500864086, + "loss": 1.6419, + "step": 1040 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019936981245659033, + "loss": 1.5574, + "step": 1041 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019936857870183377, + "loss": 1.3661, + "step": 1042 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019936734374438624, + "loss": 1.5328, + "step": 1043 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001993661075842626, + "loss": 1.4169, + "step": 1044 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001993648702214778, + "loss": 1.4808, + "step": 1045 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019936363165604687, + "loss": 1.4846, + "step": 1046 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019936239188798476, + "loss": 1.3835, + "step": 1047 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019936115091730646, + "loss": 1.3343, + "step": 1048 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019935990874402708, + "loss": 1.6892, + "step": 1049 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019935866536816157, + "loss": 1.6302, + "step": 1050 + }, + { + "epoch": 0.04, + "learning_rate": 0.000199357420789725, + "loss": 1.498, + "step": 1051 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001993561750087324, + "loss": 1.5167, + "step": 1052 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001993549280251989, + "loss": 1.4331, + "step": 1053 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001993536798391396, + "loss": 1.5392, + "step": 1054 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019935243045056958, + "loss": 1.3856, + "step": 1055 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019935117985950393, + "loss": 1.4696, + "step": 1056 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019934992806595786, + "loss": 1.4681, + "step": 1057 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019934867506994647, + "loss": 1.5876, + "step": 1058 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019934742087148493, + "loss": 1.6119, + "step": 1059 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019934616547058847, + "loss": 1.3547, + "step": 1060 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019934490886727217, + "loss": 1.5636, + "step": 1061 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019934365106155134, + "loss": 1.4305, + "step": 1062 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001993423920534412, + "loss": 1.4853, + "step": 1063 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019934113184295695, + "loss": 1.6535, + "step": 1064 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019933987043011387, + "loss": 1.5058, + "step": 1065 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019933860781492718, + "loss": 1.4007, + "step": 1066 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001993373439974122, + "loss": 1.5405, + "step": 1067 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019933607897758426, + "loss": 1.6341, + "step": 1068 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001993348127554586, + "loss": 1.5, + "step": 1069 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019933354533105058, + "loss": 1.4697, + "step": 1070 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019933227670437557, + "loss": 1.4753, + "step": 1071 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019933100687544885, + "loss": 1.5009, + "step": 1072 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019932973584428583, + "loss": 1.5291, + "step": 1073 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019932846361090195, + "loss": 1.4607, + "step": 1074 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001993271901753125, + "loss": 1.3716, + "step": 1075 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019932591553753295, + "loss": 1.4985, + "step": 1076 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019932463969757875, + "loss": 1.4419, + "step": 1077 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019932336265546528, + "loss": 1.5199, + "step": 1078 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019932208441120807, + "loss": 1.5546, + "step": 1079 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019932080496482254, + "loss": 1.4043, + "step": 1080 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019931952431632418, + "loss": 1.5538, + "step": 1081 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001993182424657285, + "loss": 1.4595, + "step": 1082 + }, + { + "epoch": 0.04, + "learning_rate": 0.000199316959413051, + "loss": 1.4617, + "step": 1083 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019931567515830726, + "loss": 1.4758, + "step": 1084 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019931438970151278, + "loss": 1.5543, + "step": 1085 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019931310304268314, + "loss": 1.6431, + "step": 1086 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019931181518183385, + "loss": 1.5661, + "step": 1087 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001993105261189806, + "loss": 1.5188, + "step": 1088 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001993092358541389, + "loss": 1.5116, + "step": 1089 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019930794438732439, + "loss": 1.5656, + "step": 1090 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019930665171855275, + "loss": 1.5307, + "step": 1091 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019930535784783957, + "loss": 1.4509, + "step": 1092 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019930406277520054, + "loss": 1.6256, + "step": 1093 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001993027665006513, + "loss": 1.6138, + "step": 1094 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001993014690242076, + "loss": 1.4891, + "step": 1095 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001993001703458851, + "loss": 1.5439, + "step": 1096 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001992988704656995, + "loss": 1.4691, + "step": 1097 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001992975693836666, + "loss": 1.5182, + "step": 1098 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019929626709980206, + "loss": 1.6048, + "step": 1099 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019929496361412174, + "loss": 1.4678, + "step": 1100 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019929365892664132, + "loss": 1.5983, + "step": 1101 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019929235303737668, + "loss": 1.4703, + "step": 1102 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019929104594634356, + "loss": 1.6134, + "step": 1103 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001992897376535578, + "loss": 1.6239, + "step": 1104 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019928842815903524, + "loss": 1.3665, + "step": 1105 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019928711746279172, + "loss": 1.4323, + "step": 1106 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019928580556484313, + "loss": 1.3978, + "step": 1107 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019928449246520532, + "loss": 1.5138, + "step": 1108 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019928317816389417, + "loss": 1.6035, + "step": 1109 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019928186266092562, + "loss": 1.5351, + "step": 1110 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001992805459563156, + "loss": 1.5351, + "step": 1111 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019927922805008, + "loss": 1.3946, + "step": 1112 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001992779089422348, + "loss": 1.5221, + "step": 1113 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019927658863279598, + "loss": 1.5685, + "step": 1114 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001992752671217795, + "loss": 1.468, + "step": 1115 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019927394440920137, + "loss": 1.4842, + "step": 1116 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019927262049507759, + "loss": 1.5845, + "step": 1117 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019927129537942415, + "loss": 1.444, + "step": 1118 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019926996906225713, + "loss": 1.5147, + "step": 1119 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019926864154359256, + "loss": 1.541, + "step": 1120 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019926731282344658, + "loss": 1.5207, + "step": 1121 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019926598290183516, + "loss": 1.5316, + "step": 1122 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019926465177877445, + "loss": 1.6307, + "step": 1123 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019926331945428055, + "loss": 1.3729, + "step": 1124 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019926198592836965, + "loss": 1.3465, + "step": 1125 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001992606512010578, + "loss": 1.5754, + "step": 1126 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001992593152723612, + "loss": 1.4224, + "step": 1127 + }, + { + "epoch": 0.04, + "learning_rate": 0.000199257978142296, + "loss": 1.5289, + "step": 1128 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019925663981087838, + "loss": 1.5222, + "step": 1129 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019925530027812457, + "loss": 1.4756, + "step": 1130 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019925395954405075, + "loss": 1.4618, + "step": 1131 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019925261760867318, + "loss": 1.3161, + "step": 1132 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019925127447200806, + "loss": 1.3612, + "step": 1133 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019924993013407168, + "loss": 1.5567, + "step": 1134 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001992485845948803, + "loss": 1.5223, + "step": 1135 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019924723785445022, + "loss": 1.5227, + "step": 1136 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019924588991279772, + "loss": 1.3888, + "step": 1137 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019924454076993911, + "loss": 1.5172, + "step": 1138 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019924319042589076, + "loss": 1.4495, + "step": 1139 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019924183888066894, + "loss": 1.5854, + "step": 1140 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019924048613429007, + "loss": 1.618, + "step": 1141 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019923913218677052, + "loss": 1.4444, + "step": 1142 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019923777703812664, + "loss": 1.5503, + "step": 1143 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019923642068837486, + "loss": 1.3723, + "step": 1144 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001992350631375316, + "loss": 1.4895, + "step": 1145 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019923370438561325, + "loss": 1.3311, + "step": 1146 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001992323444326363, + "loss": 1.5726, + "step": 1147 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019923098327861725, + "loss": 1.5913, + "step": 1148 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019922962092357247, + "loss": 1.5769, + "step": 1149 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019922825736751852, + "loss": 1.3966, + "step": 1150 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019922689261047186, + "loss": 1.4448, + "step": 1151 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019922552665244903, + "loss": 1.3372, + "step": 1152 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019922415949346657, + "loss": 1.4139, + "step": 1153 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019922279113354104, + "loss": 1.3598, + "step": 1154 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019922142157268897, + "loss": 1.4993, + "step": 1155 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019922005081092695, + "loss": 1.427, + "step": 1156 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019921867884827157, + "loss": 1.5393, + "step": 1157 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019921730568473944, + "loss": 1.4199, + "step": 1158 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019921593132034716, + "loss": 1.4398, + "step": 1159 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001992145557551114, + "loss": 1.4301, + "step": 1160 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001992131789890488, + "loss": 1.311, + "step": 1161 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019921180102217597, + "loss": 1.4192, + "step": 1162 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019921042185450967, + "loss": 1.5799, + "step": 1163 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001992090414860665, + "loss": 1.5596, + "step": 1164 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019920765991686325, + "loss": 1.5006, + "step": 1165 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001992062771469166, + "loss": 1.4329, + "step": 1166 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019920489317624336, + "loss": 1.4568, + "step": 1167 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019920350800486017, + "loss": 1.5455, + "step": 1168 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001992021216327838, + "loss": 1.6157, + "step": 1169 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019920073406003115, + "loss": 1.5078, + "step": 1170 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001991993452866189, + "loss": 1.5561, + "step": 1171 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001991979553125639, + "loss": 1.5546, + "step": 1172 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019919656413788296, + "loss": 1.4341, + "step": 1173 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019919517176259294, + "loss": 1.396, + "step": 1174 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019919377818671067, + "loss": 1.4208, + "step": 1175 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019919238341025306, + "loss": 1.532, + "step": 1176 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001991909874332369, + "loss": 1.3355, + "step": 1177 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001991895902556792, + "loss": 1.5847, + "step": 1178 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019918819187759676, + "loss": 1.4564, + "step": 1179 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019918679229900658, + "loss": 1.5137, + "step": 1180 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001991853915199256, + "loss": 1.4251, + "step": 1181 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019918398954037075, + "loss": 1.4187, + "step": 1182 + }, + { + "epoch": 0.04, + "learning_rate": 0.000199182586360359, + "loss": 1.491, + "step": 1183 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019918118197990732, + "loss": 1.3919, + "step": 1184 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019917977639903272, + "loss": 1.3672, + "step": 1185 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019917836961775223, + "loss": 1.2956, + "step": 1186 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019917696163608285, + "loss": 1.6111, + "step": 1187 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019917555245404164, + "loss": 1.51, + "step": 1188 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019917414207164564, + "loss": 1.4599, + "step": 1189 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019917273048891194, + "loss": 1.5088, + "step": 1190 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019917131770585763, + "loss": 1.3965, + "step": 1191 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019916990372249974, + "loss": 1.4773, + "step": 1192 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019916848853885548, + "loss": 1.4333, + "step": 1193 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019916707215494192, + "loss": 1.3584, + "step": 1194 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019916565457077623, + "loss": 1.3891, + "step": 1195 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019916423578637555, + "loss": 1.4673, + "step": 1196 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019916281580175706, + "loss": 1.3479, + "step": 1197 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019916139461693795, + "loss": 1.3266, + "step": 1198 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019915997223193542, + "loss": 1.455, + "step": 1199 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019915854864676664, + "loss": 1.5603, + "step": 1200 + }, + { + "epoch": 0.04, + "eval_loss": 1.447998046875, + "eval_runtime": 854.3623, + "eval_samples_per_second": 28.161, + "eval_steps_per_second": 14.081, + "step": 1200 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019915712386144892, + "loss": 1.3234, + "step": 1201 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019915569787599946, + "loss": 1.5676, + "step": 1202 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001991542706904355, + "loss": 1.419, + "step": 1203 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019915284230477437, + "loss": 1.5285, + "step": 1204 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001991514127190333, + "loss": 1.2717, + "step": 1205 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019914998193322963, + "loss": 1.4457, + "step": 1206 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019914854994738067, + "loss": 1.4077, + "step": 1207 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019914711676150378, + "loss": 1.3675, + "step": 1208 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019914568237561624, + "loss": 1.5219, + "step": 1209 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019914424678973543, + "loss": 1.6765, + "step": 1210 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001991428100038788, + "loss": 1.3485, + "step": 1211 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019914137201806364, + "loss": 1.5957, + "step": 1212 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019913993283230742, + "loss": 1.4228, + "step": 1213 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001991384924466275, + "loss": 1.4146, + "step": 1214 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019913705086104137, + "loss": 1.4604, + "step": 1215 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019913560807556646, + "loss": 1.3201, + "step": 1216 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001991341640902202, + "loss": 1.4253, + "step": 1217 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019913271890502013, + "loss": 1.5708, + "step": 1218 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001991312725199837, + "loss": 1.2653, + "step": 1219 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001991298249351284, + "loss": 1.3261, + "step": 1220 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001991283761504718, + "loss": 1.4881, + "step": 1221 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001991269261660314, + "loss": 1.2535, + "step": 1222 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019912547498182476, + "loss": 1.5078, + "step": 1223 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019912402259786944, + "loss": 1.3638, + "step": 1224 + }, + { + "epoch": 0.04, + "learning_rate": 0.000199122569014183, + "loss": 1.4127, + "step": 1225 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019912111423078308, + "loss": 1.3971, + "step": 1226 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019911965824768728, + "loss": 1.3482, + "step": 1227 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019911820106491317, + "loss": 1.5959, + "step": 1228 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019911674268247845, + "loss": 1.5172, + "step": 1229 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019911528310040074, + "loss": 1.4755, + "step": 1230 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019911382231869768, + "loss": 1.4695, + "step": 1231 + }, + { + "epoch": 0.04, + "learning_rate": 0.000199112360337387, + "loss": 1.4731, + "step": 1232 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001991108971564864, + "loss": 1.283, + "step": 1233 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001991094327760135, + "loss": 1.4885, + "step": 1234 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019910796719598613, + "loss": 1.3012, + "step": 1235 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019910650041642195, + "loss": 1.4847, + "step": 1236 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001991050324373388, + "loss": 1.3364, + "step": 1237 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019910356325875437, + "loss": 1.4219, + "step": 1238 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019910209288068645, + "loss": 1.3965, + "step": 1239 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001991006213031529, + "loss": 1.5299, + "step": 1240 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019909914852617148, + "loss": 1.3727, + "step": 1241 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019909767454975996, + "loss": 1.4257, + "step": 1242 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019909619937393628, + "loss": 1.4041, + "step": 1243 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019909472299871824, + "loss": 1.5627, + "step": 1244 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019909324542412375, + "loss": 1.4931, + "step": 1245 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019909176665017068, + "loss": 1.4168, + "step": 1246 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001990902866768769, + "loss": 1.408, + "step": 1247 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019908880550426031, + "loss": 1.3479, + "step": 1248 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019908732313233892, + "loss": 1.5398, + "step": 1249 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019908583956113057, + "loss": 1.3611, + "step": 1250 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019908435479065327, + "loss": 1.3875, + "step": 1251 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019908286882092498, + "loss": 1.5308, + "step": 1252 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001990813816519637, + "loss": 1.4377, + "step": 1253 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019907989328378744, + "loss": 1.4371, + "step": 1254 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001990784037164142, + "loss": 1.3985, + "step": 1255 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019907691294986194, + "loss": 1.461, + "step": 1256 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019907542098414883, + "loss": 1.4294, + "step": 1257 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019907392781929283, + "loss": 1.4281, + "step": 1258 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019907243345531207, + "loss": 1.354, + "step": 1259 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019907093789222458, + "loss": 1.4299, + "step": 1260 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001990694411300485, + "loss": 1.5635, + "step": 1261 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019906794316880194, + "loss": 1.5043, + "step": 1262 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019906644400850305, + "loss": 1.336, + "step": 1263 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019906494364916992, + "loss": 1.4528, + "step": 1264 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019906344209082077, + "loss": 1.4246, + "step": 1265 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019906193933347374, + "loss": 1.501, + "step": 1266 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019906043537714702, + "loss": 1.4423, + "step": 1267 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019905893022185883, + "loss": 1.5352, + "step": 1268 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001990574238676274, + "loss": 1.5591, + "step": 1269 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019905591631447093, + "loss": 1.4131, + "step": 1270 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019905440756240762, + "loss": 1.4832, + "step": 1271 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019905289761145583, + "loss": 1.3052, + "step": 1272 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019905138646163377, + "loss": 1.4088, + "step": 1273 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001990498741129598, + "loss": 1.4112, + "step": 1274 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001990483605654521, + "loss": 1.4868, + "step": 1275 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019904684581912912, + "loss": 1.439, + "step": 1276 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019904532987400912, + "loss": 1.2671, + "step": 1277 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019904381273011046, + "loss": 1.5947, + "step": 1278 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019904229438745153, + "loss": 1.5204, + "step": 1279 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019904077484605068, + "loss": 1.3991, + "step": 1280 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019903925410592627, + "loss": 1.5684, + "step": 1281 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019903773216709678, + "loss": 1.467, + "step": 1282 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019903620902958057, + "loss": 1.3646, + "step": 1283 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019903468469339614, + "loss": 1.3031, + "step": 1284 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019903315915856186, + "loss": 1.3599, + "step": 1285 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019903163242509627, + "loss": 1.3378, + "step": 1286 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019903010449301775, + "loss": 1.4344, + "step": 1287 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019902857536234492, + "loss": 1.4245, + "step": 1288 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019902704503309618, + "loss": 1.5226, + "step": 1289 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019902551350529007, + "loss": 1.3244, + "step": 1290 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019902398077894522, + "loss": 1.4261, + "step": 1291 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019902244685408006, + "loss": 1.388, + "step": 1292 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019902091173071323, + "loss": 1.4425, + "step": 1293 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019901937540886327, + "loss": 1.5033, + "step": 1294 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001990178378885488, + "loss": 1.4415, + "step": 1295 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001990162991697884, + "loss": 1.279, + "step": 1296 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019901475925260075, + "loss": 1.395, + "step": 1297 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019901321813700445, + "loss": 1.4116, + "step": 1298 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019901167582301815, + "loss": 1.5902, + "step": 1299 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019901013231066048, + "loss": 1.2382, + "step": 1300 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001990085875999502, + "loss": 1.5384, + "step": 1301 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019900704169090595, + "loss": 1.4335, + "step": 1302 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001990054945835465, + "loss": 1.3088, + "step": 1303 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001990039462778905, + "loss": 1.3953, + "step": 1304 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019900239677395675, + "loss": 1.3835, + "step": 1305 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019900084607176396, + "loss": 1.2827, + "step": 1306 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019899929417133093, + "loss": 1.3629, + "step": 1307 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019899774107267644, + "loss": 1.5221, + "step": 1308 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019899618677581926, + "loss": 1.5193, + "step": 1309 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019899463128077822, + "loss": 1.3744, + "step": 1310 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019899307458757216, + "loss": 1.3253, + "step": 1311 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001989915166962199, + "loss": 1.4326, + "step": 1312 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001989899576067403, + "loss": 1.5074, + "step": 1313 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019898839731915226, + "loss": 1.3198, + "step": 1314 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019898683583347463, + "loss": 1.3394, + "step": 1315 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019898527314972627, + "loss": 1.4402, + "step": 1316 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019898370926792623, + "loss": 1.3311, + "step": 1317 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001989821441880933, + "loss": 1.2963, + "step": 1318 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019898057791024645, + "loss": 1.4622, + "step": 1319 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001989790104344047, + "loss": 1.5302, + "step": 1320 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019897744176058696, + "loss": 1.4686, + "step": 1321 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019897587188881226, + "loss": 1.6166, + "step": 1322 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019897430081909957, + "loss": 1.34, + "step": 1323 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001989727285514679, + "loss": 1.5206, + "step": 1324 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019897115508593632, + "loss": 1.3539, + "step": 1325 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019896958042252383, + "loss": 1.2299, + "step": 1326 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019896800456124951, + "loss": 1.4265, + "step": 1327 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019896642750213243, + "loss": 1.2916, + "step": 1328 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001989648492451917, + "loss": 1.4109, + "step": 1329 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019896326979044636, + "loss": 1.3597, + "step": 1330 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019896168913791556, + "loss": 1.5052, + "step": 1331 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001989601072876185, + "loss": 1.4664, + "step": 1332 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019895852423957422, + "loss": 1.2843, + "step": 1333 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019895693999380192, + "loss": 1.5043, + "step": 1334 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001989553545503208, + "loss": 1.4511, + "step": 1335 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019895376790914998, + "loss": 1.3678, + "step": 1336 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019895218007030878, + "loss": 1.3846, + "step": 1337 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001989505910338163, + "loss": 1.3052, + "step": 1338 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019894900079969182, + "loss": 1.4477, + "step": 1339 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019894740936795462, + "loss": 1.403, + "step": 1340 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001989458167386239, + "loss": 1.4769, + "step": 1341 + }, + { + "epoch": 0.05, + "learning_rate": 0.000198944222911719, + "loss": 1.4691, + "step": 1342 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019894262788725916, + "loss": 1.4735, + "step": 1343 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001989410316652637, + "loss": 1.4378, + "step": 1344 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019893943424575193, + "loss": 1.4044, + "step": 1345 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019893783562874323, + "loss": 1.2626, + "step": 1346 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019893623581425688, + "loss": 1.3395, + "step": 1347 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019893463480231228, + "loss": 1.469, + "step": 1348 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019893303259292883, + "loss": 1.4379, + "step": 1349 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019893142918612588, + "loss": 1.5179, + "step": 1350 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019892982458192288, + "loss": 1.4062, + "step": 1351 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019892821878033919, + "loss": 1.6174, + "step": 1352 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001989266117813943, + "loss": 1.4138, + "step": 1353 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001989250035851076, + "loss": 1.4034, + "step": 1354 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019892339419149866, + "loss": 1.3674, + "step": 1355 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019892178360058686, + "loss": 1.4972, + "step": 1356 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019892017181239173, + "loss": 1.3039, + "step": 1357 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019891855882693275, + "loss": 1.4787, + "step": 1358 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019891694464422953, + "loss": 1.3597, + "step": 1359 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001989153292643015, + "loss": 1.5048, + "step": 1360 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019891371268716826, + "loss": 1.4035, + "step": 1361 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001989120949128494, + "loss": 1.2618, + "step": 1362 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019891047594136442, + "loss": 1.5, + "step": 1363 + }, + { + "epoch": 0.05, + "learning_rate": 0.000198908855772733, + "loss": 1.4598, + "step": 1364 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019890723440697472, + "loss": 1.4299, + "step": 1365 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001989056118441092, + "loss": 1.3765, + "step": 1366 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019890398808415606, + "loss": 1.3671, + "step": 1367 + }, + { + "epoch": 0.05, + "learning_rate": 0.000198902363127135, + "loss": 1.4121, + "step": 1368 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019890073697306567, + "loss": 1.3612, + "step": 1369 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019889910962196772, + "loss": 1.4198, + "step": 1370 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019889748107386086, + "loss": 1.361, + "step": 1371 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019889585132876482, + "loss": 1.5283, + "step": 1372 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019889422038669934, + "loss": 1.4386, + "step": 1373 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001988925882476841, + "loss": 1.4992, + "step": 1374 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001988909549117389, + "loss": 1.2294, + "step": 1375 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019888932037888347, + "loss": 1.6264, + "step": 1376 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019888768464913764, + "loss": 1.3712, + "step": 1377 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019888604772252123, + "loss": 1.2984, + "step": 1378 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019888440959905395, + "loss": 1.4363, + "step": 1379 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019888277027875573, + "loss": 1.4183, + "step": 1380 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019888112976164634, + "loss": 1.4699, + "step": 1381 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019887948804774567, + "loss": 1.3608, + "step": 1382 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001988778451370736, + "loss": 1.3284, + "step": 1383 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019887620102965002, + "loss": 1.3777, + "step": 1384 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019887455572549476, + "loss": 1.3867, + "step": 1385 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001988729092246278, + "loss": 1.2883, + "step": 1386 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019887126152706906, + "loss": 1.2855, + "step": 1387 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019886961263283846, + "loss": 1.4898, + "step": 1388 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019886796254195598, + "loss": 1.595, + "step": 1389 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019886631125444156, + "loss": 1.4736, + "step": 1390 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019886465877031525, + "loss": 1.5136, + "step": 1391 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019886300508959695, + "loss": 1.502, + "step": 1392 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001988613502123068, + "loss": 1.3556, + "step": 1393 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001988596941384647, + "loss": 1.5341, + "step": 1394 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001988580368680908, + "loss": 1.3104, + "step": 1395 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001988563784012051, + "loss": 1.4196, + "step": 1396 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001988547187378277, + "loss": 1.4005, + "step": 1397 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019885305787797867, + "loss": 1.4323, + "step": 1398 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019885139582167814, + "loss": 1.4628, + "step": 1399 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019884973256894614, + "loss": 1.347, + "step": 1400 + }, + { + "epoch": 0.05, + "eval_loss": 1.3938785791397095, + "eval_runtime": 845.2439, + "eval_samples_per_second": 28.465, + "eval_steps_per_second": 14.233, + "step": 1400 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019884806811980293, + "loss": 1.353, + "step": 1401 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019884640247426857, + "loss": 1.4482, + "step": 1402 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019884473563236323, + "loss": 1.4621, + "step": 1403 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001988430675941071, + "loss": 1.4886, + "step": 1404 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019884139835952037, + "loss": 1.5339, + "step": 1405 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019883972792862322, + "loss": 1.2392, + "step": 1406 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001988380563014359, + "loss": 1.3823, + "step": 1407 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019883638347797862, + "loss": 1.3743, + "step": 1408 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019883470945827165, + "loss": 1.4193, + "step": 1409 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019883303424233522, + "loss": 1.426, + "step": 1410 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001988313578301896, + "loss": 1.2971, + "step": 1411 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019882968022185514, + "loss": 1.4454, + "step": 1412 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001988280014173521, + "loss": 1.397, + "step": 1413 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001988263214167008, + "loss": 1.5336, + "step": 1414 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019882464021992154, + "loss": 1.416, + "step": 1415 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019882295782703478, + "loss": 1.4484, + "step": 1416 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019882127423806077, + "loss": 1.5188, + "step": 1417 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001988195894530199, + "loss": 1.4351, + "step": 1418 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019881790347193263, + "loss": 1.3905, + "step": 1419 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019881621629481928, + "loss": 1.4176, + "step": 1420 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019881452792170037, + "loss": 1.3606, + "step": 1421 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019881283835259623, + "loss": 1.4434, + "step": 1422 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001988111475875274, + "loss": 1.3518, + "step": 1423 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019880945562651426, + "loss": 1.2715, + "step": 1424 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019880776246957734, + "loss": 1.4658, + "step": 1425 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019880606811673715, + "loss": 1.501, + "step": 1426 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019880437256801414, + "loss": 1.4129, + "step": 1427 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001988026758234289, + "loss": 1.3697, + "step": 1428 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019880097788300188, + "loss": 1.4737, + "step": 1429 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001987992787467537, + "loss": 1.2478, + "step": 1430 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019879757841470493, + "loss": 1.5273, + "step": 1431 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019879587688687608, + "loss": 1.4718, + "step": 1432 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019879417416328782, + "loss": 1.3476, + "step": 1433 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001987924702439607, + "loss": 1.3189, + "step": 1434 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019879076512891542, + "loss": 1.327, + "step": 1435 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019878905881817252, + "loss": 1.2492, + "step": 1436 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001987873513117527, + "loss": 1.5667, + "step": 1437 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019878564260967667, + "loss": 1.447, + "step": 1438 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019878393271196502, + "loss": 1.3489, + "step": 1439 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019878222161863853, + "loss": 1.5189, + "step": 1440 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019878050932971785, + "loss": 1.414, + "step": 1441 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019877879584522372, + "loss": 1.3022, + "step": 1442 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019877708116517693, + "loss": 1.5749, + "step": 1443 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019877536528959815, + "loss": 1.4076, + "step": 1444 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019877364821850818, + "loss": 1.1879, + "step": 1445 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019877192995192784, + "loss": 1.252, + "step": 1446 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019877021048987788, + "loss": 1.3749, + "step": 1447 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019876848983237913, + "loss": 1.2986, + "step": 1448 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001987667679794524, + "loss": 1.2868, + "step": 1449 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019876504493111856, + "loss": 1.3575, + "step": 1450 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019876332068739845, + "loss": 1.3431, + "step": 1451 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019876159524831292, + "loss": 1.4676, + "step": 1452 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001987598686138829, + "loss": 1.4699, + "step": 1453 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019875814078412925, + "loss": 1.3882, + "step": 1454 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019875641175907288, + "loss": 1.421, + "step": 1455 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001987546815387347, + "loss": 1.5307, + "step": 1456 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019875295012313572, + "loss": 1.3228, + "step": 1457 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019875121751229685, + "loss": 1.4236, + "step": 1458 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019874948370623906, + "loss": 1.236, + "step": 1459 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019874774870498336, + "loss": 1.2366, + "step": 1460 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001987460125085507, + "loss": 1.3441, + "step": 1461 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019874427511696214, + "loss": 1.4607, + "step": 1462 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019874253653023866, + "loss": 1.4244, + "step": 1463 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019874079674840137, + "loss": 1.3803, + "step": 1464 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019873905577147129, + "loss": 1.3064, + "step": 1465 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001987373135994695, + "loss": 1.4738, + "step": 1466 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019873557023241707, + "loss": 1.4615, + "step": 1467 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001987338256703351, + "loss": 1.324, + "step": 1468 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019873207991324472, + "loss": 1.463, + "step": 1469 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019873033296116706, + "loss": 1.3059, + "step": 1470 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019872858481412325, + "loss": 1.437, + "step": 1471 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019872683547213446, + "loss": 1.2529, + "step": 1472 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019872508493522188, + "loss": 1.3566, + "step": 1473 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019872333320340664, + "loss": 1.5463, + "step": 1474 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019872158027671, + "loss": 1.3307, + "step": 1475 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019871982615515317, + "loss": 1.3298, + "step": 1476 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019871807083875735, + "loss": 1.1388, + "step": 1477 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001987163143275438, + "loss": 1.3766, + "step": 1478 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019871455662153379, + "loss": 1.3308, + "step": 1479 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019871279772074857, + "loss": 1.3836, + "step": 1480 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019871103762520944, + "loss": 1.3639, + "step": 1481 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019870927633493772, + "loss": 1.3479, + "step": 1482 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001987075138499547, + "loss": 1.4622, + "step": 1483 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019870575017028172, + "loss": 1.4179, + "step": 1484 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019870398529594016, + "loss": 1.3406, + "step": 1485 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019870221922695133, + "loss": 1.5578, + "step": 1486 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019870045196333663, + "loss": 1.2313, + "step": 1487 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001986986835051175, + "loss": 1.3853, + "step": 1488 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019869691385231524, + "loss": 1.4064, + "step": 1489 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019869514300495134, + "loss": 1.1968, + "step": 1490 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019869337096304718, + "loss": 1.5992, + "step": 1491 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001986915977266243, + "loss": 1.3329, + "step": 1492 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019868982329570404, + "loss": 1.3748, + "step": 1493 + }, + { + "epoch": 0.05, + "learning_rate": 0.000198688047670308, + "loss": 1.4621, + "step": 1494 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019868627085045757, + "loss": 1.4262, + "step": 1495 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019868449283617432, + "loss": 1.4358, + "step": 1496 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019868271362747972, + "loss": 1.3738, + "step": 1497 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019868093322439537, + "loss": 1.3732, + "step": 1498 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019867915162694274, + "loss": 1.4088, + "step": 1499 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019867736883514344, + "loss": 1.4106, + "step": 1500 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019867558484901906, + "loss": 1.407, + "step": 1501 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019867379966859118, + "loss": 1.4913, + "step": 1502 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019867201329388137, + "loss": 1.3291, + "step": 1503 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001986702257249113, + "loss": 1.2714, + "step": 1504 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001986684369617026, + "loss": 1.2537, + "step": 1505 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019866664700427688, + "loss": 1.3331, + "step": 1506 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019866485585265587, + "loss": 1.1974, + "step": 1507 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019866306350686114, + "loss": 1.2832, + "step": 1508 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001986612699669145, + "loss": 1.3194, + "step": 1509 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001986594752328376, + "loss": 1.2946, + "step": 1510 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001986576793046522, + "loss": 1.4549, + "step": 1511 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019865588218238, + "loss": 1.3482, + "step": 1512 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001986540838660427, + "loss": 1.3945, + "step": 1513 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001986522843556622, + "loss": 1.3282, + "step": 1514 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001986504836512602, + "loss": 1.3199, + "step": 1515 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019864868175285846, + "loss": 1.3254, + "step": 1516 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001986468786604789, + "loss": 1.3513, + "step": 1517 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019864507437414322, + "loss": 1.3826, + "step": 1518 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019864326889387332, + "loss": 1.4813, + "step": 1519 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019864146221969101, + "loss": 1.4176, + "step": 1520 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019863965435161824, + "loss": 1.3027, + "step": 1521 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019863784528967684, + "loss": 1.4584, + "step": 1522 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019863603503388869, + "loss": 1.421, + "step": 1523 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001986342235842757, + "loss": 1.3096, + "step": 1524 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019863241094085984, + "loss": 1.4589, + "step": 1525 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019863059710366302, + "loss": 1.3011, + "step": 1526 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001986287820727072, + "loss": 1.4787, + "step": 1527 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019862696584801434, + "loss": 1.4041, + "step": 1528 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001986251484296064, + "loss": 1.4185, + "step": 1529 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019862332981750543, + "loss": 1.2851, + "step": 1530 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001986215100117334, + "loss": 1.2378, + "step": 1531 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019861968901231235, + "loss": 1.4699, + "step": 1532 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019861786681926434, + "loss": 1.4193, + "step": 1533 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019861604343261139, + "loss": 1.5145, + "step": 1534 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019861421885237557, + "loss": 1.4066, + "step": 1535 + }, + { + "epoch": 0.05, + "learning_rate": 0.000198612393078579, + "loss": 1.2268, + "step": 1536 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001986105661112437, + "loss": 1.3956, + "step": 1537 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001986087379503919, + "loss": 1.3366, + "step": 1538 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019860690859604564, + "loss": 1.2978, + "step": 1539 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001986050780482271, + "loss": 1.5215, + "step": 1540 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019860324630695839, + "loss": 1.4012, + "step": 1541 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019860141337226173, + "loss": 1.5428, + "step": 1542 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019859957924415927, + "loss": 1.3863, + "step": 1543 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019859774392267326, + "loss": 1.3872, + "step": 1544 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019859590740782583, + "loss": 1.4383, + "step": 1545 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001985940696996393, + "loss": 1.3502, + "step": 1546 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019859223079813582, + "loss": 1.2706, + "step": 1547 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019859039070333775, + "loss": 1.4311, + "step": 1548 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019858854941526727, + "loss": 1.487, + "step": 1549 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001985867069339467, + "loss": 1.2886, + "step": 1550 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019858486325939837, + "loss": 1.1533, + "step": 1551 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019858301839164452, + "loss": 1.3024, + "step": 1552 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019858117233070757, + "loss": 1.2767, + "step": 1553 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001985793250766098, + "loss": 1.3045, + "step": 1554 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001985774766293736, + "loss": 1.4337, + "step": 1555 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019857562698902132, + "loss": 1.2606, + "step": 1556 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019857377615557534, + "loss": 1.3975, + "step": 1557 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019857192412905812, + "loss": 1.4364, + "step": 1558 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019857007090949203, + "loss": 1.3271, + "step": 1559 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019856821649689947, + "loss": 1.4012, + "step": 1560 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001985663608913029, + "loss": 1.3442, + "step": 1561 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019856450409272487, + "loss": 1.3345, + "step": 1562 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019856264610118772, + "loss": 1.4034, + "step": 1563 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019856078691671402, + "loss": 1.4501, + "step": 1564 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019855892653932627, + "loss": 1.3364, + "step": 1565 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019855706496904694, + "loss": 1.425, + "step": 1566 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001985552022058986, + "loss": 1.3047, + "step": 1567 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019855333824990378, + "loss": 1.3974, + "step": 1568 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019855147310108504, + "loss": 1.4178, + "step": 1569 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019854960675946495, + "loss": 1.3879, + "step": 1570 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019854773922506612, + "loss": 1.3818, + "step": 1571 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019854587049791114, + "loss": 1.3216, + "step": 1572 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019854400057802264, + "loss": 1.3382, + "step": 1573 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019854212946542323, + "loss": 1.4309, + "step": 1574 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019854025716013559, + "loss": 1.3897, + "step": 1575 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019853838366218235, + "loss": 1.388, + "step": 1576 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019853650897158618, + "loss": 1.201, + "step": 1577 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019853463308836978, + "loss": 1.4013, + "step": 1578 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019853275601255588, + "loss": 1.3145, + "step": 1579 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019853087774416716, + "loss": 1.4255, + "step": 1580 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001985289982832264, + "loss": 1.2957, + "step": 1581 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001985271176297563, + "loss": 1.3998, + "step": 1582 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019852523578377964, + "loss": 1.339, + "step": 1583 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019852335274531918, + "loss": 1.3493, + "step": 1584 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019852146851439778, + "loss": 1.2854, + "step": 1585 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019851958309103813, + "loss": 1.318, + "step": 1586 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019851769647526315, + "loss": 1.1384, + "step": 1587 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019851580866709565, + "loss": 1.4932, + "step": 1588 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019851391966655844, + "loss": 1.4705, + "step": 1589 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019851202947367442, + "loss": 1.316, + "step": 1590 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019851013808846646, + "loss": 1.444, + "step": 1591 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019850824551095747, + "loss": 1.332, + "step": 1592 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019850635174117033, + "loss": 1.2078, + "step": 1593 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019850445677912796, + "loss": 1.2532, + "step": 1594 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001985025606248533, + "loss": 1.3327, + "step": 1595 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001985006632783693, + "loss": 1.4101, + "step": 1596 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019849876473969892, + "loss": 1.2839, + "step": 1597 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019849686500886517, + "loss": 1.2811, + "step": 1598 + }, + { + "epoch": 0.06, + "learning_rate": 0.000198494964085891, + "loss": 1.4443, + "step": 1599 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019849306197079945, + "loss": 1.2312, + "step": 1600 + }, + { + "epoch": 0.06, + "eval_loss": 1.344958782196045, + "eval_runtime": 853.5281, + "eval_samples_per_second": 28.189, + "eval_steps_per_second": 14.094, + "step": 1600 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019849115866361352, + "loss": 1.2967, + "step": 1601 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019848925416435624, + "loss": 1.314, + "step": 1602 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001984873484730507, + "loss": 1.4782, + "step": 1603 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019848544158971993, + "loss": 1.4346, + "step": 1604 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019848353351438705, + "loss": 1.4878, + "step": 1605 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001984816242470751, + "loss": 1.3461, + "step": 1606 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001984797137878072, + "loss": 1.2518, + "step": 1607 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001984778021366065, + "loss": 1.3791, + "step": 1608 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019847588929349611, + "loss": 1.2735, + "step": 1609 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001984739752584992, + "loss": 1.2355, + "step": 1610 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019847206003163894, + "loss": 1.3502, + "step": 1611 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001984701436129385, + "loss": 1.2874, + "step": 1612 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001984682260024211, + "loss": 1.485, + "step": 1613 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019846630720010987, + "loss": 1.2652, + "step": 1614 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019846438720602815, + "loss": 1.3025, + "step": 1615 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001984624660201991, + "loss": 1.1707, + "step": 1616 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019846054364264598, + "loss": 1.3486, + "step": 1617 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019845862007339206, + "loss": 1.1837, + "step": 1618 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019845669531246064, + "loss": 1.4184, + "step": 1619 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019845476935987502, + "loss": 1.4533, + "step": 1620 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019845284221565846, + "loss": 1.2627, + "step": 1621 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019845091387983436, + "loss": 1.2662, + "step": 1622 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019844898435242603, + "loss": 1.4094, + "step": 1623 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019844705363345676, + "loss": 1.3836, + "step": 1624 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019844512172295003, + "loss": 1.3788, + "step": 1625 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019844318862092912, + "loss": 1.426, + "step": 1626 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001984412543274175, + "loss": 1.4527, + "step": 1627 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019843931884243855, + "loss": 1.5341, + "step": 1628 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001984373821660157, + "loss": 1.449, + "step": 1629 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019843544429817237, + "loss": 1.3345, + "step": 1630 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019843350523893207, + "loss": 1.4473, + "step": 1631 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001984315649883182, + "loss": 1.4306, + "step": 1632 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001984296235463543, + "loss": 1.389, + "step": 1633 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019842768091306382, + "loss": 1.2924, + "step": 1634 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019842573708847032, + "loss": 1.3763, + "step": 1635 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001984237920725973, + "loss": 1.33, + "step": 1636 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001984218458654683, + "loss": 1.4085, + "step": 1637 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001984198984671069, + "loss": 1.1533, + "step": 1638 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019841794987753662, + "loss": 1.274, + "step": 1639 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001984160000967811, + "loss": 1.4952, + "step": 1640 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019841404912486387, + "loss": 1.3872, + "step": 1641 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019841209696180861, + "loss": 1.4679, + "step": 1642 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019841014360763896, + "loss": 1.2578, + "step": 1643 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001984081890623785, + "loss": 1.3467, + "step": 1644 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019840623332605093, + "loss": 1.1851, + "step": 1645 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019840427639867986, + "loss": 1.3761, + "step": 1646 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019840231828028906, + "loss": 1.3163, + "step": 1647 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019840035897090215, + "loss": 1.2519, + "step": 1648 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019839839847054296, + "loss": 1.2279, + "step": 1649 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019839643677923508, + "loss": 1.148, + "step": 1650 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019839447389700233, + "loss": 1.2212, + "step": 1651 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019839250982386846, + "loss": 1.3851, + "step": 1652 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019839054455985723, + "loss": 1.466, + "step": 1653 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019838857810499242, + "loss": 1.2524, + "step": 1654 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019838661045929785, + "loss": 1.3338, + "step": 1655 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019838464162279734, + "loss": 1.5305, + "step": 1656 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001983826715955147, + "loss": 1.3382, + "step": 1657 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019838070037747377, + "loss": 1.3637, + "step": 1658 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019837872796869837, + "loss": 1.2982, + "step": 1659 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001983767543692125, + "loss": 1.2906, + "step": 1660 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019837477957903996, + "loss": 1.3454, + "step": 1661 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019837280359820463, + "loss": 1.2607, + "step": 1662 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019837082642673045, + "loss": 1.38, + "step": 1663 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001983688480646414, + "loss": 1.397, + "step": 1664 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019836686851196133, + "loss": 1.2822, + "step": 1665 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019836488776871428, + "loss": 1.2634, + "step": 1666 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019836290583492418, + "loss": 1.3493, + "step": 1667 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019836092271061505, + "loss": 1.4424, + "step": 1668 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019835893839581086, + "loss": 1.2654, + "step": 1669 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001983569528905356, + "loss": 1.2782, + "step": 1670 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019835496619481343, + "loss": 1.2446, + "step": 1671 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019835297830866826, + "loss": 1.269, + "step": 1672 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019835098923212422, + "loss": 1.3569, + "step": 1673 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001983489989652053, + "loss": 1.1567, + "step": 1674 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001983470075079357, + "loss": 1.2301, + "step": 1675 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019834501486033947, + "loss": 1.3305, + "step": 1676 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019834302102244073, + "loss": 1.3073, + "step": 1677 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019834102599426362, + "loss": 1.3473, + "step": 1678 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019833902977583228, + "loss": 1.4603, + "step": 1679 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019833703236717086, + "loss": 1.4078, + "step": 1680 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019833503376830356, + "loss": 1.3619, + "step": 1681 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019833303397925452, + "loss": 1.2757, + "step": 1682 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019833103300004803, + "loss": 1.2762, + "step": 1683 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019832903083070823, + "loss": 1.2862, + "step": 1684 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019832702747125938, + "loss": 1.3452, + "step": 1685 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019832502292172578, + "loss": 1.3718, + "step": 1686 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019832301718213156, + "loss": 1.2736, + "step": 1687 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019832101025250113, + "loss": 1.303, + "step": 1688 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019831900213285872, + "loss": 1.4179, + "step": 1689 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019831699282322863, + "loss": 1.3307, + "step": 1690 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019831498232363522, + "loss": 1.2888, + "step": 1691 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019831297063410276, + "loss": 1.1974, + "step": 1692 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019831095775465566, + "loss": 1.3069, + "step": 1693 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019830894368531824, + "loss": 1.3416, + "step": 1694 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019830692842611489, + "loss": 1.3408, + "step": 1695 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019830491197707004, + "loss": 1.3446, + "step": 1696 + }, + { + "epoch": 0.06, + "learning_rate": 0.000198302894338208, + "loss": 1.4906, + "step": 1697 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001983008755095533, + "loss": 1.3928, + "step": 1698 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019829885549113035, + "loss": 1.4524, + "step": 1699 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001982968342829635, + "loss": 1.3768, + "step": 1700 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019829481188507732, + "loss": 1.2599, + "step": 1701 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019829278829749627, + "loss": 1.2543, + "step": 1702 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019829076352024483, + "loss": 1.3408, + "step": 1703 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001982887375533475, + "loss": 1.3602, + "step": 1704 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019828671039682878, + "loss": 1.167, + "step": 1705 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019828468205071323, + "loss": 1.0686, + "step": 1706 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019828265251502542, + "loss": 1.2242, + "step": 1707 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001982806217897899, + "loss": 1.3517, + "step": 1708 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019827858987503123, + "loss": 1.3633, + "step": 1709 + }, + { + "epoch": 0.06, + "learning_rate": 0.000198276556770774, + "loss": 1.374, + "step": 1710 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019827452247704288, + "loss": 1.2583, + "step": 1711 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001982724869938624, + "loss": 1.3118, + "step": 1712 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019827045032125726, + "loss": 1.3169, + "step": 1713 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019826841245925212, + "loss": 1.3556, + "step": 1714 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019826637340787157, + "loss": 1.2536, + "step": 1715 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019826433316714036, + "loss": 1.2905, + "step": 1716 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019826229173708316, + "loss": 1.3702, + "step": 1717 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019826024911772465, + "loss": 1.2956, + "step": 1718 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019825820530908962, + "loss": 1.3635, + "step": 1719 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019825616031120272, + "loss": 1.323, + "step": 1720 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001982541141240888, + "loss": 1.2738, + "step": 1721 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019825206674777254, + "loss": 1.2895, + "step": 1722 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019825001818227876, + "loss": 1.3171, + "step": 1723 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019824796842763225, + "loss": 1.3549, + "step": 1724 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019824591748385782, + "loss": 1.3079, + "step": 1725 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019824386535098026, + "loss": 1.2317, + "step": 1726 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001982418120290245, + "loss": 1.5024, + "step": 1727 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019823975751801526, + "loss": 1.2031, + "step": 1728 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019823770181797752, + "loss": 1.3806, + "step": 1729 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001982356449289361, + "loss": 1.3226, + "step": 1730 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019823358685091595, + "loss": 1.2307, + "step": 1731 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001982315275839419, + "loss": 1.3032, + "step": 1732 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019822946712803896, + "loss": 1.3095, + "step": 1733 + }, + { + "epoch": 0.06, + "learning_rate": 0.000198227405483232, + "loss": 1.3554, + "step": 1734 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019822534264954598, + "loss": 1.2743, + "step": 1735 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001982232786270059, + "loss": 1.3747, + "step": 1736 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001982212134156367, + "loss": 1.2931, + "step": 1737 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019821914701546346, + "loss": 1.2746, + "step": 1738 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001982170794265111, + "loss": 1.2063, + "step": 1739 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019821501064880469, + "loss": 1.3583, + "step": 1740 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019821294068236923, + "loss": 1.2974, + "step": 1741 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001982108695272298, + "loss": 1.2475, + "step": 1742 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001982087971834115, + "loss": 1.3775, + "step": 1743 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019820672365093936, + "loss": 1.3974, + "step": 1744 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001982046489298385, + "loss": 1.4875, + "step": 1745 + }, + { + "epoch": 0.06, + "learning_rate": 0.000198202573020134, + "loss": 1.2887, + "step": 1746 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019820049592185105, + "loss": 1.3625, + "step": 1747 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019819841763501475, + "loss": 1.2296, + "step": 1748 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019819633815965025, + "loss": 1.406, + "step": 1749 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019819425749578273, + "loss": 1.3048, + "step": 1750 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019819217564343735, + "loss": 1.3028, + "step": 1751 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019819009260263934, + "loss": 1.2664, + "step": 1752 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001981880083734139, + "loss": 1.4576, + "step": 1753 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019818592295578626, + "loss": 1.2141, + "step": 1754 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019818383634978164, + "loss": 1.2897, + "step": 1755 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019818174855542532, + "loss": 1.4906, + "step": 1756 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019817965957274255, + "loss": 1.3827, + "step": 1757 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001981775694017586, + "loss": 1.1883, + "step": 1758 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019817547804249882, + "loss": 1.2726, + "step": 1759 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001981733854949885, + "loss": 1.215, + "step": 1760 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019817129175925296, + "loss": 1.2849, + "step": 1761 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019816919683531751, + "loss": 1.3224, + "step": 1762 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019816710072320757, + "loss": 1.4219, + "step": 1763 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019816500342294843, + "loss": 1.3084, + "step": 1764 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001981629049345656, + "loss": 1.4805, + "step": 1765 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019816080525808435, + "loss": 1.3061, + "step": 1766 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001981587043935301, + "loss": 1.4379, + "step": 1767 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001981566023409284, + "loss": 1.1277, + "step": 1768 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019815449910030454, + "loss": 1.3186, + "step": 1769 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019815239467168408, + "loss": 1.3413, + "step": 1770 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019815028905509246, + "loss": 1.2468, + "step": 1771 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019814818225055518, + "loss": 1.2485, + "step": 1772 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001981460742580977, + "loss": 1.3112, + "step": 1773 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019814396507774555, + "loss": 1.2775, + "step": 1774 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019814185470952428, + "loss": 1.3419, + "step": 1775 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019813974315345943, + "loss": 1.3742, + "step": 1776 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019813763040957651, + "loss": 1.1866, + "step": 1777 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019813551647790116, + "loss": 1.3392, + "step": 1778 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019813340135845891, + "loss": 1.4103, + "step": 1779 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019813128505127538, + "loss": 1.186, + "step": 1780 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001981291675563762, + "loss": 1.3438, + "step": 1781 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019812704887378697, + "loss": 1.2177, + "step": 1782 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019812492900353335, + "loss": 1.1884, + "step": 1783 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019812280794564098, + "loss": 1.3201, + "step": 1784 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019812068570013557, + "loss": 1.3303, + "step": 1785 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019811856226704277, + "loss": 1.2491, + "step": 1786 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019811643764638828, + "loss": 1.3772, + "step": 1787 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001981143118381979, + "loss": 1.3398, + "step": 1788 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001981121848424972, + "loss": 1.1842, + "step": 1789 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019811005665931205, + "loss": 1.4456, + "step": 1790 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019810792728866815, + "loss": 1.3168, + "step": 1791 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019810579673059132, + "loss": 1.193, + "step": 1792 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001981036649851073, + "loss": 1.2172, + "step": 1793 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019810153205224192, + "loss": 1.3829, + "step": 1794 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019809939793202097, + "loss": 1.2553, + "step": 1795 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019809726262447032, + "loss": 1.3837, + "step": 1796 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019809512612961578, + "loss": 1.2359, + "step": 1797 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001980929884474832, + "loss": 1.2188, + "step": 1798 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001980908495780985, + "loss": 1.2024, + "step": 1799 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019808870952148753, + "loss": 1.3749, + "step": 1800 + }, + { + "epoch": 0.06, + "eval_loss": 1.3037443161010742, + "eval_runtime": 854.5045, + "eval_samples_per_second": 28.157, + "eval_steps_per_second": 14.078, + "step": 1800 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001980865682776762, + "loss": 1.329, + "step": 1801 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001980844258466904, + "loss": 1.2151, + "step": 1802 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019808228222855615, + "loss": 1.3412, + "step": 1803 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019808013742329928, + "loss": 1.1813, + "step": 1804 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001980779914309458, + "loss": 1.2177, + "step": 1805 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001980758442515217, + "loss": 1.2986, + "step": 1806 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019807369588505295, + "loss": 1.2791, + "step": 1807 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019807154633156557, + "loss": 1.2908, + "step": 1808 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019806939559108554, + "loss": 1.2385, + "step": 1809 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019806724366363895, + "loss": 1.2658, + "step": 1810 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019806509054925178, + "loss": 1.3092, + "step": 1811 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019806293624795011, + "loss": 1.2426, + "step": 1812 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019806078075976005, + "loss": 1.3071, + "step": 1813 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019805862408470767, + "loss": 1.2982, + "step": 1814 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019805646622281903, + "loss": 1.2045, + "step": 1815 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001980543071741203, + "loss": 1.3549, + "step": 1816 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001980521469386376, + "loss": 1.2216, + "step": 1817 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019804998551639706, + "loss": 1.2178, + "step": 1818 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019804782290742487, + "loss": 1.3313, + "step": 1819 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019804565911174716, + "loss": 1.3279, + "step": 1820 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019804349412939014, + "loss": 1.3423, + "step": 1821 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019804132796038003, + "loss": 1.4188, + "step": 1822 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019803916060474305, + "loss": 1.4791, + "step": 1823 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001980369920625054, + "loss": 1.2343, + "step": 1824 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019803482233369336, + "loss": 1.3213, + "step": 1825 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019803265141833318, + "loss": 1.2879, + "step": 1826 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019803047931645109, + "loss": 1.2323, + "step": 1827 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019802830602807348, + "loss": 1.425, + "step": 1828 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019802613155322653, + "loss": 1.2525, + "step": 1829 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019802395589193667, + "loss": 1.3682, + "step": 1830 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019802177904423016, + "loss": 1.395, + "step": 1831 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001980196010101334, + "loss": 1.1672, + "step": 1832 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001980174217896727, + "loss": 1.2897, + "step": 1833 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019801524138287447, + "loss": 1.1673, + "step": 1834 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001980130597897651, + "loss": 1.2307, + "step": 1835 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019801087701037097, + "loss": 1.2062, + "step": 1836 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019800869304471852, + "loss": 1.1848, + "step": 1837 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019800650789283418, + "loss": 1.1778, + "step": 1838 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001980043215547444, + "loss": 1.2083, + "step": 1839 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001980021340304756, + "loss": 1.3953, + "step": 1840 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019799994532005433, + "loss": 1.1791, + "step": 1841 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019799775542350703, + "loss": 1.2334, + "step": 1842 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019799556434086022, + "loss": 1.4113, + "step": 1843 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019799337207214042, + "loss": 1.4872, + "step": 1844 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019799117861737418, + "loss": 1.3198, + "step": 1845 + }, + { + "epoch": 0.06, + "learning_rate": 0.000197988983976588, + "loss": 1.3471, + "step": 1846 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019798678814980848, + "loss": 1.3882, + "step": 1847 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019798459113706219, + "loss": 1.2833, + "step": 1848 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019798239293837571, + "loss": 1.2498, + "step": 1849 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019798019355377568, + "loss": 1.358, + "step": 1850 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001979779929832887, + "loss": 1.323, + "step": 1851 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019797579122694136, + "loss": 1.3035, + "step": 1852 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001979735882847604, + "loss": 1.2181, + "step": 1853 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019797138415677238, + "loss": 1.1979, + "step": 1854 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001979691788430041, + "loss": 1.3548, + "step": 1855 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019796697234348212, + "loss": 1.2362, + "step": 1856 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001979647646582332, + "loss": 1.4053, + "step": 1857 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001979625557872841, + "loss": 1.3142, + "step": 1858 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001979603457306615, + "loss": 1.2153, + "step": 1859 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001979581344883922, + "loss": 1.157, + "step": 1860 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001979559220605029, + "loss": 1.2994, + "step": 1861 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019795370844702043, + "loss": 1.3992, + "step": 1862 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019795149364797157, + "loss": 1.3094, + "step": 1863 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019794927766338312, + "loss": 1.3274, + "step": 1864 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001979470604932819, + "loss": 1.2617, + "step": 1865 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019794484213769473, + "loss": 1.2471, + "step": 1866 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001979426225966485, + "loss": 1.3801, + "step": 1867 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019794040187017005, + "loss": 1.2978, + "step": 1868 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019793817995828622, + "loss": 1.3507, + "step": 1869 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019793595686102398, + "loss": 1.2832, + "step": 1870 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019793373257841017, + "loss": 1.2416, + "step": 1871 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019793150711047174, + "loss": 1.2886, + "step": 1872 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019792928045723565, + "loss": 1.2907, + "step": 1873 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019792705261872882, + "loss": 1.2196, + "step": 1874 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001979248235949782, + "loss": 1.1376, + "step": 1875 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001979225933860108, + "loss": 1.3269, + "step": 1876 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019792036199185357, + "loss": 1.2553, + "step": 1877 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019791812941253358, + "loss": 1.0336, + "step": 1878 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019791589564807782, + "loss": 1.218, + "step": 1879 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019791366069851332, + "loss": 1.284, + "step": 1880 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019791142456386713, + "loss": 1.2764, + "step": 1881 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019790918724416632, + "loss": 1.2328, + "step": 1882 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019790694873943795, + "loss": 1.2716, + "step": 1883 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019790470904970916, + "loss": 1.3621, + "step": 1884 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019790246817500703, + "loss": 1.1856, + "step": 1885 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019790022611535868, + "loss": 1.3029, + "step": 1886 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019789798287079123, + "loss": 1.1386, + "step": 1887 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019789573844133186, + "loss": 1.2591, + "step": 1888 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019789349282700773, + "loss": 1.1566, + "step": 1889 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019789124602784602, + "loss": 1.2456, + "step": 1890 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019788899804387388, + "loss": 1.4217, + "step": 1891 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001978867488751186, + "loss": 1.3218, + "step": 1892 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019788449852160733, + "loss": 1.3006, + "step": 1893 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019788224698336735, + "loss": 1.1134, + "step": 1894 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019787999426042592, + "loss": 1.3839, + "step": 1895 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019787774035281023, + "loss": 1.3762, + "step": 1896 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019787548526054764, + "loss": 1.206, + "step": 1897 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019787322898366544, + "loss": 1.3181, + "step": 1898 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019787097152219085, + "loss": 1.4395, + "step": 1899 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001978687128761513, + "loss": 1.2829, + "step": 1900 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019786645304557408, + "loss": 1.2893, + "step": 1901 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019786419203048655, + "loss": 1.2962, + "step": 1902 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019786192983091603, + "loss": 1.3886, + "step": 1903 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019785966644689, + "loss": 1.2419, + "step": 1904 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019785740187843573, + "loss": 1.1724, + "step": 1905 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019785513612558076, + "loss": 1.1498, + "step": 1906 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001978528691883524, + "loss": 1.2432, + "step": 1907 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019785060106677818, + "loss": 1.1885, + "step": 1908 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019784833176088545, + "loss": 1.28, + "step": 1909 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019784606127070179, + "loss": 1.2826, + "step": 1910 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001978437895962546, + "loss": 1.39, + "step": 1911 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019784151673757138, + "loss": 1.3445, + "step": 1912 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019783924269467968, + "loss": 1.1705, + "step": 1913 + }, + { + "epoch": 0.07, + "learning_rate": 0.000197836967467607, + "loss": 1.2457, + "step": 1914 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019783469105638085, + "loss": 1.3033, + "step": 1915 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019783241346102884, + "loss": 1.2731, + "step": 1916 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019783013468157852, + "loss": 1.2676, + "step": 1917 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019782785471805743, + "loss": 1.4201, + "step": 1918 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001978255735704932, + "loss": 1.2846, + "step": 1919 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019782329123891346, + "loss": 1.3131, + "step": 1920 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019782100772334577, + "loss": 1.2892, + "step": 1921 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019781872302381784, + "loss": 1.2596, + "step": 1922 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019781643714035724, + "loss": 1.2509, + "step": 1923 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019781415007299173, + "loss": 1.2379, + "step": 1924 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019781186182174894, + "loss": 1.3854, + "step": 1925 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019780957238665656, + "loss": 1.1662, + "step": 1926 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019780728176774232, + "loss": 1.2627, + "step": 1927 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001978049899650339, + "loss": 1.2816, + "step": 1928 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001978026969785591, + "loss": 1.2857, + "step": 1929 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019780040280834564, + "loss": 1.2328, + "step": 1930 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019779810745442132, + "loss": 1.1348, + "step": 1931 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019779581091681388, + "loss": 1.1863, + "step": 1932 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001977935131955511, + "loss": 1.3457, + "step": 1933 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019779121429066085, + "loss": 1.334, + "step": 1934 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019778891420217093, + "loss": 1.2454, + "step": 1935 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019778661293010913, + "loss": 1.3117, + "step": 1936 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019778431047450342, + "loss": 1.3627, + "step": 1937 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019778200683538154, + "loss": 1.192, + "step": 1938 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019777970201277143, + "loss": 1.1627, + "step": 1939 + }, + { + "epoch": 0.07, + "learning_rate": 0.000197777396006701, + "loss": 1.507, + "step": 1940 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019777508881719814, + "loss": 1.1724, + "step": 1941 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019777278044429077, + "loss": 1.2008, + "step": 1942 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001977704708880068, + "loss": 1.164, + "step": 1943 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001977681601483743, + "loss": 1.2942, + "step": 1944 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019776584822542108, + "loss": 1.158, + "step": 1945 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019776353511917526, + "loss": 1.3325, + "step": 1946 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019776122082966474, + "loss": 1.2775, + "step": 1947 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019775890535691755, + "loss": 1.2982, + "step": 1948 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019775658870096175, + "loss": 1.3579, + "step": 1949 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001977542708618254, + "loss": 1.3304, + "step": 1950 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019775195183953644, + "loss": 1.2551, + "step": 1951 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019774963163412306, + "loss": 1.3079, + "step": 1952 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001977473102456133, + "loss": 1.3124, + "step": 1953 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019774498767403522, + "loss": 1.1526, + "step": 1954 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019774266391941697, + "loss": 1.2683, + "step": 1955 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019774033898178667, + "loss": 1.3403, + "step": 1956 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019773801286117245, + "loss": 1.3242, + "step": 1957 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019773568555760248, + "loss": 1.3161, + "step": 1958 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019773335707110493, + "loss": 1.1387, + "step": 1959 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019773102740170795, + "loss": 1.3246, + "step": 1960 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019772869654943975, + "loss": 1.1735, + "step": 1961 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019772636451432856, + "loss": 1.2273, + "step": 1962 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001977240312964026, + "loss": 1.1524, + "step": 1963 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001977216968956901, + "loss": 1.3522, + "step": 1964 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019771936131221927, + "loss": 1.3521, + "step": 1965 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001977170245460185, + "loss": 1.2165, + "step": 1966 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019771468659711595, + "loss": 1.275, + "step": 1967 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019771234746554, + "loss": 1.089, + "step": 1968 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001977100071513189, + "loss": 1.223, + "step": 1969 + }, + { + "epoch": 0.07, + "learning_rate": 0.000197707665654481, + "loss": 1.3271, + "step": 1970 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019770532297505467, + "loss": 1.1669, + "step": 1971 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019770297911306822, + "loss": 1.3045, + "step": 1972 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019770063406855, + "loss": 1.2376, + "step": 1973 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019769828784152848, + "loss": 1.2806, + "step": 1974 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019769594043203198, + "loss": 1.3596, + "step": 1975 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019769359184008893, + "loss": 1.1551, + "step": 1976 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001976912420657278, + "loss": 1.374, + "step": 1977 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019768889110897695, + "loss": 1.2285, + "step": 1978 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019768653896986492, + "loss": 1.3297, + "step": 1979 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019768418564842009, + "loss": 1.3128, + "step": 1980 + }, + { + "epoch": 0.07, + "learning_rate": 0.000197681831144671, + "loss": 1.3029, + "step": 1981 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019767947545864614, + "loss": 1.154, + "step": 1982 + }, + { + "epoch": 0.07, + "learning_rate": 0.000197677118590374, + "loss": 1.2105, + "step": 1983 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019767476053988317, + "loss": 1.3421, + "step": 1984 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001976724013072021, + "loss": 1.2478, + "step": 1985 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001976700408923594, + "loss": 1.1307, + "step": 1986 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019766767929538365, + "loss": 1.3441, + "step": 1987 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019766531651630337, + "loss": 1.3121, + "step": 1988 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001976629525551472, + "loss": 1.2634, + "step": 1989 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001976605874119438, + "loss": 1.2733, + "step": 1990 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001976582210867217, + "loss": 1.4118, + "step": 1991 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001976558535795096, + "loss": 1.2292, + "step": 1992 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019765348489033616, + "loss": 1.3097, + "step": 1993 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019765111501923, + "loss": 1.3654, + "step": 1994 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019764874396621985, + "loss": 1.3863, + "step": 1995 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019764637173133438, + "loss": 1.3233, + "step": 1996 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001976439983146023, + "loss": 1.2364, + "step": 1997 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019764162371605236, + "loss": 1.2273, + "step": 1998 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019763924793571332, + "loss": 1.3451, + "step": 1999 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019763687097361387, + "loss": 1.2194, + "step": 2000 + }, + { + "epoch": 0.07, + "eval_loss": 1.265727162361145, + "eval_runtime": 847.8628, + "eval_samples_per_second": 28.377, + "eval_steps_per_second": 14.189, + "step": 2000 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019763449282978281, + "loss": 1.1173, + "step": 2001 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019763211350424896, + "loss": 1.3483, + "step": 2002 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019762973299704105, + "loss": 1.1972, + "step": 2003 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019762735130818794, + "loss": 1.2235, + "step": 2004 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019762496843771845, + "loss": 1.2873, + "step": 2005 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019762258438566142, + "loss": 1.3267, + "step": 2006 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019762019915204568, + "loss": 1.3506, + "step": 2007 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019761781273690013, + "loss": 1.2776, + "step": 2008 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019761542514025365, + "loss": 1.1562, + "step": 2009 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001976130363621351, + "loss": 1.2807, + "step": 2010 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019761064640257345, + "loss": 1.2277, + "step": 2011 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019760825526159758, + "loss": 1.1403, + "step": 2012 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019760586293923646, + "loss": 1.1847, + "step": 2013 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019760346943551902, + "loss": 1.2236, + "step": 2014 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019760107475047428, + "loss": 1.288, + "step": 2015 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019759867888413115, + "loss": 1.2327, + "step": 2016 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001975962818365187, + "loss": 1.1732, + "step": 2017 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019759388360766585, + "loss": 1.2608, + "step": 2018 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019759148419760174, + "loss": 1.2981, + "step": 2019 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019758908360635534, + "loss": 1.2918, + "step": 2020 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001975866818339557, + "loss": 1.2011, + "step": 2021 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019758427888043193, + "loss": 1.2025, + "step": 2022 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001975818747458131, + "loss": 1.2526, + "step": 2023 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019757946943012826, + "loss": 1.2389, + "step": 2024 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019757706293340658, + "loss": 1.3148, + "step": 2025 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001975746552556772, + "loss": 1.2478, + "step": 2026 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001975722463969692, + "loss": 1.3301, + "step": 2027 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019756983635731178, + "loss": 1.244, + "step": 2028 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019756742513673409, + "loss": 1.2853, + "step": 2029 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019756501273526534, + "loss": 1.3357, + "step": 2030 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019756259915293468, + "loss": 1.3493, + "step": 2031 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019756018438977138, + "loss": 1.2814, + "step": 2032 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019755776844580463, + "loss": 1.2937, + "step": 2033 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019755535132106363, + "loss": 1.313, + "step": 2034 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019755293301557773, + "loss": 1.2769, + "step": 2035 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019755051352937617, + "loss": 1.2318, + "step": 2036 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019754809286248815, + "loss": 1.4377, + "step": 2037 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001975456710149431, + "loss": 1.3342, + "step": 2038 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019754324798677025, + "loss": 1.3234, + "step": 2039 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019754082377799895, + "loss": 1.1599, + "step": 2040 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019753839838865852, + "loss": 1.1641, + "step": 2041 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019753597181877832, + "loss": 1.2866, + "step": 2042 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019753354406838773, + "loss": 1.2025, + "step": 2043 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019753111513751614, + "loss": 1.3079, + "step": 2044 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019752868502619295, + "loss": 1.2474, + "step": 2045 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019752625373444755, + "loss": 1.2814, + "step": 2046 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001975238212623094, + "loss": 1.2401, + "step": 2047 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019752138760980792, + "loss": 1.1564, + "step": 2048 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019751895277697254, + "loss": 1.1456, + "step": 2049 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019751651676383277, + "loss": 1.2969, + "step": 2050 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001975140795704181, + "loss": 1.2753, + "step": 2051 + }, + { + "epoch": 0.07, + "learning_rate": 0.000197511641196758, + "loss": 1.431, + "step": 2052 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019750920164288198, + "loss": 1.142, + "step": 2053 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019750676090881958, + "loss": 1.3086, + "step": 2054 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019750431899460036, + "loss": 1.303, + "step": 2055 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019750187590025385, + "loss": 1.2767, + "step": 2056 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001974994316258096, + "loss": 1.3056, + "step": 2057 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019749698617129723, + "loss": 1.0539, + "step": 2058 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019749453953674632, + "loss": 1.3441, + "step": 2059 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001974920917221865, + "loss": 1.3575, + "step": 2060 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019748964272764738, + "loss": 1.3084, + "step": 2061 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001974871925531586, + "loss": 1.1228, + "step": 2062 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019748474119874983, + "loss": 1.3448, + "step": 2063 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019748228866445073, + "loss": 1.1227, + "step": 2064 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019747983495029098, + "loss": 1.1579, + "step": 2065 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001974773800563003, + "loss": 1.3284, + "step": 2066 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019747492398250837, + "loss": 1.1585, + "step": 2067 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019747246672894493, + "loss": 1.237, + "step": 2068 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019747000829563972, + "loss": 1.3229, + "step": 2069 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019746754868262253, + "loss": 1.2458, + "step": 2070 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019746508788992306, + "loss": 1.3669, + "step": 2071 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019746262591757114, + "loss": 1.2738, + "step": 2072 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019746016276559657, + "loss": 1.2091, + "step": 2073 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019745769843402915, + "loss": 1.2716, + "step": 2074 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001974552329228987, + "loss": 1.2952, + "step": 2075 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019745276623223508, + "loss": 1.2305, + "step": 2076 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019745029836206813, + "loss": 1.2743, + "step": 2077 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019744782931242774, + "loss": 1.3914, + "step": 2078 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019744535908334374, + "loss": 1.2424, + "step": 2079 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001974428876748461, + "loss": 1.2274, + "step": 2080 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019744041508696467, + "loss": 1.4854, + "step": 2081 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019743794131972943, + "loss": 1.2406, + "step": 2082 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001974354663731703, + "loss": 1.2322, + "step": 2083 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019743299024731719, + "loss": 1.2697, + "step": 2084 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019743051294220015, + "loss": 1.16, + "step": 2085 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001974280344578491, + "loss": 1.252, + "step": 2086 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019742555479429407, + "loss": 1.2884, + "step": 2087 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019742307395156507, + "loss": 1.1933, + "step": 2088 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001974205919296921, + "loss": 1.2152, + "step": 2089 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019741810872870525, + "loss": 1.2304, + "step": 2090 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019741562434863453, + "loss": 1.2834, + "step": 2091 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019741313878951004, + "loss": 1.35, + "step": 2092 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019741065205136185, + "loss": 1.2547, + "step": 2093 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019740816413422004, + "loss": 1.2837, + "step": 2094 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001974056750381147, + "loss": 1.2672, + "step": 2095 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019740318476307603, + "loss": 1.1754, + "step": 2096 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019740069330913417, + "loss": 1.1071, + "step": 2097 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019739820067631923, + "loss": 1.1341, + "step": 2098 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019739570686466134, + "loss": 1.4716, + "step": 2099 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001973932118741908, + "loss": 1.3136, + "step": 2100 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019739071570493768, + "loss": 1.2773, + "step": 2101 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001973882183569323, + "loss": 1.319, + "step": 2102 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001973857198302048, + "loss": 1.1439, + "step": 2103 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019738322012478548, + "loss": 1.2609, + "step": 2104 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019738071924070458, + "loss": 1.22, + "step": 2105 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019737821717799237, + "loss": 1.3524, + "step": 2106 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001973757139366791, + "loss": 1.1513, + "step": 2107 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001973732095167951, + "loss": 1.3142, + "step": 2108 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019737070391837068, + "loss": 1.2797, + "step": 2109 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001973681971414362, + "loss": 1.3009, + "step": 2110 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001973656891860219, + "loss": 1.2256, + "step": 2111 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019736318005215823, + "loss": 1.1413, + "step": 2112 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019736066973987553, + "loss": 1.2128, + "step": 2113 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019735815824920415, + "loss": 1.3217, + "step": 2114 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019735564558017457, + "loss": 1.1531, + "step": 2115 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001973531317328171, + "loss": 1.2615, + "step": 2116 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019735061670716225, + "loss": 1.1102, + "step": 2117 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001973481005032404, + "loss": 1.2023, + "step": 2118 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019734558312108202, + "loss": 1.3026, + "step": 2119 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001973430645607176, + "loss": 1.2111, + "step": 2120 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019734054482217764, + "loss": 1.1482, + "step": 2121 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019733802390549255, + "loss": 1.2417, + "step": 2122 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019733550181069294, + "loss": 1.255, + "step": 2123 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019733297853780928, + "loss": 1.2938, + "step": 2124 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019733045408687212, + "loss": 1.2774, + "step": 2125 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019732792845791202, + "loss": 1.3917, + "step": 2126 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019732540165095957, + "loss": 1.1729, + "step": 2127 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019732287366604534, + "loss": 1.17, + "step": 2128 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019732034450319988, + "loss": 1.2268, + "step": 2129 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019731781416245384, + "loss": 1.2448, + "step": 2130 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019731528264383788, + "loss": 1.197, + "step": 2131 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001973127499473826, + "loss": 1.2937, + "step": 2132 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019731021607311862, + "loss": 1.3495, + "step": 2133 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019730768102107666, + "loss": 1.0909, + "step": 2134 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019730514479128738, + "loss": 1.1926, + "step": 2135 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001973026073837815, + "loss": 1.2975, + "step": 2136 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019730006879858976, + "loss": 1.2416, + "step": 2137 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001972975290357428, + "loss": 1.1544, + "step": 2138 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001972949880952714, + "loss": 1.1879, + "step": 2139 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019729244597720632, + "loss": 1.282, + "step": 2140 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019728990268157832, + "loss": 1.2319, + "step": 2141 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001972873582084182, + "loss": 1.2613, + "step": 2142 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019728481255775672, + "loss": 1.1501, + "step": 2143 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019728226572962473, + "loss": 1.2203, + "step": 2144 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019727971772405306, + "loss": 1.3124, + "step": 2145 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001972771685410725, + "loss": 1.2588, + "step": 2146 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019727461818071394, + "loss": 1.2206, + "step": 2147 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019727206664300824, + "loss": 1.2671, + "step": 2148 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019726951392798627, + "loss": 1.2401, + "step": 2149 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019726696003567894, + "loss": 1.1124, + "step": 2150 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001972644049661172, + "loss": 1.3418, + "step": 2151 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019726184871933188, + "loss": 1.2498, + "step": 2152 + }, + { + "epoch": 0.08, + "learning_rate": 0.000197259291295354, + "loss": 1.387, + "step": 2153 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019725673269421447, + "loss": 1.3037, + "step": 2154 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001972541729159443, + "loss": 1.1846, + "step": 2155 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019725161196057443, + "loss": 1.3776, + "step": 2156 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019724904982813587, + "loss": 1.1022, + "step": 2157 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019724648651865966, + "loss": 1.2601, + "step": 2158 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019724392203217676, + "loss": 1.2307, + "step": 2159 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019724135636871824, + "loss": 1.2356, + "step": 2160 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001972387895283152, + "loss": 1.3646, + "step": 2161 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019723622151099864, + "loss": 1.3147, + "step": 2162 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019723365231679967, + "loss": 1.3939, + "step": 2163 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019723108194574936, + "loss": 1.1676, + "step": 2164 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019722851039787888, + "loss": 1.3384, + "step": 2165 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019722593767321933, + "loss": 1.2986, + "step": 2166 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001972233637718018, + "loss": 1.3701, + "step": 2167 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001972207886936575, + "loss": 1.1944, + "step": 2168 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019721821243881755, + "loss": 1.137, + "step": 2169 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019721563500731319, + "loss": 1.1889, + "step": 2170 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019721305639917554, + "loss": 1.1773, + "step": 2171 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001972104766144359, + "loss": 1.3254, + "step": 2172 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019720789565312542, + "loss": 1.2107, + "step": 2173 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001972053135152754, + "loss": 1.3676, + "step": 2174 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019720273020091698, + "loss": 1.3698, + "step": 2175 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019720014571008158, + "loss": 1.2649, + "step": 2176 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019719756004280039, + "loss": 1.314, + "step": 2177 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001971949731991047, + "loss": 1.2545, + "step": 2178 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019719238517902586, + "loss": 1.2247, + "step": 2179 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019718979598259514, + "loss": 1.192, + "step": 2180 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019718720560984394, + "loss": 1.2137, + "step": 2181 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019718461406080358, + "loss": 1.2563, + "step": 2182 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019718202133550542, + "loss": 1.3271, + "step": 2183 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001971794274339809, + "loss": 1.2985, + "step": 2184 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019717683235626128, + "loss": 1.2002, + "step": 2185 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019717423610237812, + "loss": 1.2837, + "step": 2186 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019717163867236272, + "loss": 1.1078, + "step": 2187 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019716904006624662, + "loss": 1.2959, + "step": 2188 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019716644028406122, + "loss": 1.3006, + "step": 2189 + }, + { + "epoch": 0.08, + "learning_rate": 0.000197163839325838, + "loss": 1.2104, + "step": 2190 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019716123719160843, + "loss": 1.2826, + "step": 2191 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019715863388140398, + "loss": 1.1502, + "step": 2192 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001971560293952562, + "loss": 1.131, + "step": 2193 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019715342373319663, + "loss": 1.2412, + "step": 2194 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019715081689525676, + "loss": 1.3527, + "step": 2195 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019714820888146816, + "loss": 1.3254, + "step": 2196 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019714559969186238, + "loss": 1.2042, + "step": 2197 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019714298932647098, + "loss": 1.2103, + "step": 2198 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019714037778532565, + "loss": 1.1553, + "step": 2199 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019713776506845792, + "loss": 1.2434, + "step": 2200 + }, + { + "epoch": 0.08, + "eval_loss": 1.2296520471572876, + "eval_runtime": 847.4415, + "eval_samples_per_second": 28.391, + "eval_steps_per_second": 14.196, + "step": 2200 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001971351511758994, + "loss": 1.0597, + "step": 2201 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001971325361076818, + "loss": 1.2946, + "step": 2202 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001971299198638367, + "loss": 1.0715, + "step": 2203 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019712730244439582, + "loss": 1.2457, + "step": 2204 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019712468384939076, + "loss": 1.2244, + "step": 2205 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019712206407885332, + "loss": 1.1929, + "step": 2206 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019711944313281513, + "loss": 1.2064, + "step": 2207 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001971168210113079, + "loss": 1.3525, + "step": 2208 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019711419771436343, + "loss": 1.2328, + "step": 2209 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019711157324201346, + "loss": 1.2284, + "step": 2210 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019710894759428972, + "loss": 1.2729, + "step": 2211 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019710632077122402, + "loss": 1.2964, + "step": 2212 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019710369277284813, + "loss": 1.3251, + "step": 2213 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019710106359919385, + "loss": 1.399, + "step": 2214 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019709843325029305, + "loss": 1.1675, + "step": 2215 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019709580172617752, + "loss": 1.1382, + "step": 2216 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019709316902687913, + "loss": 1.3137, + "step": 2217 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019709053515242972, + "loss": 1.2957, + "step": 2218 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001970879001028612, + "loss": 1.0388, + "step": 2219 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019708526387820547, + "loss": 1.1814, + "step": 2220 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019708262647849441, + "loss": 1.2956, + "step": 2221 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019707998790375992, + "loss": 1.2293, + "step": 2222 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019707734815403401, + "loss": 1.1661, + "step": 2223 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019707470722934853, + "loss": 1.3241, + "step": 2224 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019707206512973552, + "loss": 1.0774, + "step": 2225 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019706942185522696, + "loss": 1.1491, + "step": 2226 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001970667774058548, + "loss": 1.2843, + "step": 2227 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001970641317816511, + "loss": 1.1331, + "step": 2228 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001970614849826478, + "loss": 1.3136, + "step": 2229 + }, + { + "epoch": 0.08, + "learning_rate": 0.000197058837008877, + "loss": 1.1934, + "step": 2230 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019705618786037074, + "loss": 1.1964, + "step": 2231 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019705353753716106, + "loss": 1.3267, + "step": 2232 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019705088603928008, + "loss": 1.2088, + "step": 2233 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019704823336675985, + "loss": 1.2002, + "step": 2234 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019704557951963247, + "loss": 1.1677, + "step": 2235 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019704292449793012, + "loss": 1.3227, + "step": 2236 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019704026830168485, + "loss": 1.2827, + "step": 2237 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001970376109309289, + "loss": 1.207, + "step": 2238 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019703495238569435, + "loss": 1.3523, + "step": 2239 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019703229266601345, + "loss": 1.262, + "step": 2240 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019702963177191832, + "loss": 1.2286, + "step": 2241 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001970269697034412, + "loss": 1.1431, + "step": 2242 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019702430646061436, + "loss": 1.3312, + "step": 2243 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019702164204346995, + "loss": 1.3341, + "step": 2244 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019701897645204027, + "loss": 1.2541, + "step": 2245 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019701630968635756, + "loss": 1.1945, + "step": 2246 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019701364174645408, + "loss": 1.2118, + "step": 2247 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001970109726323622, + "loss": 1.1869, + "step": 2248 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019700830234411414, + "loss": 1.164, + "step": 2249 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019700563088174223, + "loss": 1.248, + "step": 2250 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019700295824527886, + "loss": 1.3045, + "step": 2251 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001970002844347563, + "loss": 1.2368, + "step": 2252 + }, + { + "epoch": 0.08, + "learning_rate": 0.000196997609450207, + "loss": 1.0304, + "step": 2253 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019699493329166322, + "loss": 1.1888, + "step": 2254 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001969922559591575, + "loss": 1.2429, + "step": 2255 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019698957745272212, + "loss": 1.191, + "step": 2256 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019698689777238954, + "loss": 1.3002, + "step": 2257 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001969842169181922, + "loss": 1.0969, + "step": 2258 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019698153489016256, + "loss": 1.3715, + "step": 2259 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019697885168833306, + "loss": 1.2773, + "step": 2260 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019697616731273617, + "loss": 1.0582, + "step": 2261 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001969734817634044, + "loss": 1.3486, + "step": 2262 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019697079504037021, + "loss": 1.2355, + "step": 2263 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001969681071436662, + "loss": 1.2366, + "step": 2264 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019696541807332483, + "loss": 1.1761, + "step": 2265 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019696272782937868, + "loss": 1.2072, + "step": 2266 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019696003641186033, + "loss": 1.2826, + "step": 2267 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019695734382080228, + "loss": 1.1745, + "step": 2268 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001969546500562372, + "loss": 1.2046, + "step": 2269 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019695195511819762, + "loss": 1.2275, + "step": 2270 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019694925900671625, + "loss": 1.1627, + "step": 2271 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001969465617218256, + "loss": 1.2246, + "step": 2272 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019694386326355847, + "loss": 1.2532, + "step": 2273 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019694116363194739, + "loss": 1.1642, + "step": 2274 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001969384628270251, + "loss": 1.1621, + "step": 2275 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019693576084882426, + "loss": 1.4628, + "step": 2276 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019693305769737758, + "loss": 1.3343, + "step": 2277 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019693035337271778, + "loss": 1.072, + "step": 2278 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019692764787487761, + "loss": 1.2495, + "step": 2279 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019692494120388977, + "loss": 1.2905, + "step": 2280 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019692223335978704, + "loss": 1.2081, + "step": 2281 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019691952434260226, + "loss": 1.1841, + "step": 2282 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001969168141523681, + "loss": 1.1196, + "step": 2283 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019691410278911743, + "loss": 1.2231, + "step": 2284 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001969113902528831, + "loss": 1.1277, + "step": 2285 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019690867654369786, + "loss": 1.2394, + "step": 2286 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001969059616615946, + "loss": 1.1817, + "step": 2287 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001969032456066062, + "loss": 1.1776, + "step": 2288 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019690052837876548, + "loss": 1.1534, + "step": 2289 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019689780997810533, + "loss": 1.2329, + "step": 2290 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001968950904046587, + "loss": 1.1466, + "step": 2291 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001968923696584585, + "loss": 1.2082, + "step": 2292 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019688964773953763, + "loss": 1.2526, + "step": 2293 + }, + { + "epoch": 0.08, + "learning_rate": 0.000196886924647929, + "loss": 1.1928, + "step": 2294 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001968842003836657, + "loss": 1.224, + "step": 2295 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019688147494678054, + "loss": 1.1131, + "step": 2296 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001968787483373066, + "loss": 1.2336, + "step": 2297 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001968760205552769, + "loss": 1.1038, + "step": 2298 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001968732916007244, + "loss": 1.2677, + "step": 2299 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019687056147368214, + "loss": 1.2575, + "step": 2300 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019686783017418318, + "loss": 1.3084, + "step": 2301 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019686509770226057, + "loss": 1.0924, + "step": 2302 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001968623640579474, + "loss": 1.2799, + "step": 2303 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019685962924127673, + "loss": 1.2651, + "step": 2304 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019685689325228163, + "loss": 1.1498, + "step": 2305 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001968541560909953, + "loss": 1.2193, + "step": 2306 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001968514177574508, + "loss": 1.179, + "step": 2307 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001968486782516813, + "loss": 1.0958, + "step": 2308 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019684593757371996, + "loss": 1.1915, + "step": 2309 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019684319572359994, + "loss": 1.2011, + "step": 2310 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019684045270135445, + "loss": 1.3506, + "step": 2311 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019683770850701665, + "loss": 1.0382, + "step": 2312 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019683496314061976, + "loss": 1.2276, + "step": 2313 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019683221660219704, + "loss": 1.1833, + "step": 2314 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019682946889178172, + "loss": 1.2752, + "step": 2315 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019682672000940704, + "loss": 1.2472, + "step": 2316 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019682396995510627, + "loss": 1.1584, + "step": 2317 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001968212187289127, + "loss": 1.3133, + "step": 2318 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019681846633085967, + "loss": 1.2607, + "step": 2319 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019681571276098042, + "loss": 1.3651, + "step": 2320 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019681295801930837, + "loss": 1.2148, + "step": 2321 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019681020210587677, + "loss": 1.1649, + "step": 2322 + }, + { + "epoch": 0.08, + "learning_rate": 0.000196807445020719, + "loss": 1.3608, + "step": 2323 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019680468676386848, + "loss": 1.1512, + "step": 2324 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019680192733535852, + "loss": 1.1897, + "step": 2325 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019679916673522255, + "loss": 1.1955, + "step": 2326 + }, + { + "epoch": 0.08, + "learning_rate": 0.000196796404963494, + "loss": 1.2406, + "step": 2327 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001967936420202063, + "loss": 1.4019, + "step": 2328 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019679087790539285, + "loss": 1.197, + "step": 2329 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019678811261908717, + "loss": 1.1434, + "step": 2330 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019678534616132266, + "loss": 1.1644, + "step": 2331 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019678257853213285, + "loss": 1.298, + "step": 2332 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019677980973155119, + "loss": 1.331, + "step": 2333 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019677703975961124, + "loss": 1.2838, + "step": 2334 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001967742686163465, + "loss": 1.0399, + "step": 2335 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001967714963017905, + "loss": 1.1809, + "step": 2336 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019676872281597686, + "loss": 1.1013, + "step": 2337 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019676594815893906, + "loss": 1.2169, + "step": 2338 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019676317233071076, + "loss": 1.1086, + "step": 2339 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019676039533132546, + "loss": 1.1507, + "step": 2340 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019675761716081688, + "loss": 1.2544, + "step": 2341 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001967548378192186, + "loss": 1.3044, + "step": 2342 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019675205730656421, + "loss": 1.2222, + "step": 2343 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019674927562288747, + "loss": 1.3638, + "step": 2344 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019674649276822193, + "loss": 1.2912, + "step": 2345 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019674370874260135, + "loss": 1.138, + "step": 2346 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019674092354605942, + "loss": 1.2616, + "step": 2347 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001967381371786298, + "loss": 1.3453, + "step": 2348 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019673534964034626, + "loss": 1.3206, + "step": 2349 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019673256093124254, + "loss": 1.1878, + "step": 2350 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019672977105135238, + "loss": 1.1783, + "step": 2351 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019672698000070953, + "loss": 1.2277, + "step": 2352 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001967241877793478, + "loss": 1.2596, + "step": 2353 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019672139438730096, + "loss": 1.2057, + "step": 2354 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019671859982460285, + "loss": 1.1845, + "step": 2355 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019671580409128726, + "loss": 1.0987, + "step": 2356 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019671300718738805, + "loss": 1.189, + "step": 2357 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019671020911293907, + "loss": 1.2864, + "step": 2358 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019670740986797418, + "loss": 1.1087, + "step": 2359 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019670460945252726, + "loss": 1.351, + "step": 2360 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001967018078666322, + "loss": 1.1311, + "step": 2361 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019669900511032294, + "loss": 1.0734, + "step": 2362 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019669620118363334, + "loss": 1.2477, + "step": 2363 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001966933960865974, + "loss": 1.2039, + "step": 2364 + }, + { + "epoch": 0.08, + "learning_rate": 0.000196690589819249, + "loss": 1.3293, + "step": 2365 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019668778238162219, + "loss": 1.3318, + "step": 2366 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001966849737737509, + "loss": 1.3243, + "step": 2367 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019668216399566915, + "loss": 1.1944, + "step": 2368 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019667935304741092, + "loss": 1.1097, + "step": 2369 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019667654092901023, + "loss": 1.2099, + "step": 2370 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019667372764050112, + "loss": 1.0661, + "step": 2371 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019667091318191767, + "loss": 1.2857, + "step": 2372 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019666809755329392, + "loss": 1.0982, + "step": 2373 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019666528075466396, + "loss": 1.155, + "step": 2374 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019666246278606187, + "loss": 1.2419, + "step": 2375 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019665964364752174, + "loss": 1.2874, + "step": 2376 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001966568233390777, + "loss": 1.2783, + "step": 2377 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019665400186076392, + "loss": 1.2374, + "step": 2378 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019665117921261453, + "loss": 1.3279, + "step": 2379 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001966483553946637, + "loss": 1.3098, + "step": 2380 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001966455304069456, + "loss": 1.3417, + "step": 2381 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001966427042494944, + "loss": 1.2148, + "step": 2382 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001966398769223443, + "loss": 1.2762, + "step": 2383 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019663704842552959, + "loss": 1.2259, + "step": 2384 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019663421875908444, + "loss": 1.2648, + "step": 2385 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019663138792304312, + "loss": 1.2081, + "step": 2386 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001966285559174399, + "loss": 1.1219, + "step": 2387 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019662572274230903, + "loss": 1.2634, + "step": 2388 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019662288839768485, + "loss": 1.1795, + "step": 2389 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001966200528836016, + "loss": 1.1957, + "step": 2390 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019661721620009364, + "loss": 1.0982, + "step": 2391 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001966143783471953, + "loss": 1.1814, + "step": 2392 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019661153932494093, + "loss": 1.2612, + "step": 2393 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019660869913336486, + "loss": 1.2559, + "step": 2394 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001966058577725015, + "loss": 1.2456, + "step": 2395 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019660301524238524, + "loss": 1.1779, + "step": 2396 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019660017154305047, + "loss": 1.2368, + "step": 2397 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019659732667453162, + "loss": 1.2174, + "step": 2398 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001965944806368631, + "loss": 1.1374, + "step": 2399 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001965916334300794, + "loss": 1.2037, + "step": 2400 + }, + { + "epoch": 0.08, + "eval_loss": 1.198292851448059, + "eval_runtime": 854.574, + "eval_samples_per_second": 28.154, + "eval_steps_per_second": 14.077, + "step": 2400 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001965887850542149, + "loss": 1.2365, + "step": 2401 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019658593550930415, + "loss": 1.4205, + "step": 2402 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001965830847953816, + "loss": 1.3176, + "step": 2403 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019658023291248183, + "loss": 1.2039, + "step": 2404 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019657737986063925, + "loss": 1.2114, + "step": 2405 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019657452563988845, + "loss": 1.2833, + "step": 2406 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019657167025026394, + "loss": 1.2736, + "step": 2407 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019656881369180035, + "loss": 1.2372, + "step": 2408 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019656595596453214, + "loss": 1.131, + "step": 2409 + }, + { + "epoch": 0.08, + "learning_rate": 0.000196563097068494, + "loss": 1.0472, + "step": 2410 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019656023700372052, + "loss": 1.2018, + "step": 2411 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019655737577024625, + "loss": 1.17, + "step": 2412 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019655451336810594, + "loss": 1.2186, + "step": 2413 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001965516497973341, + "loss": 1.1777, + "step": 2414 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019654878505796544, + "loss": 1.1654, + "step": 2415 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019654591915003463, + "loss": 1.3502, + "step": 2416 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001965430520735764, + "loss": 1.1731, + "step": 2417 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019654018382862543, + "loss": 1.3358, + "step": 2418 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001965373144152164, + "loss": 1.2187, + "step": 2419 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019653444383338408, + "loss": 1.1249, + "step": 2420 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019653157208316318, + "loss": 1.0219, + "step": 2421 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019652869916458846, + "loss": 1.2397, + "step": 2422 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019652582507769472, + "loss": 1.1276, + "step": 2423 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019652294982251675, + "loss": 1.1415, + "step": 2424 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019652007339908932, + "loss": 1.2827, + "step": 2425 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019651719580744724, + "loss": 1.3574, + "step": 2426 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019651431704762539, + "loss": 1.1901, + "step": 2427 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019651143711965857, + "loss": 1.3041, + "step": 2428 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001965085560235816, + "loss": 1.1854, + "step": 2429 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019650567375942946, + "loss": 1.1111, + "step": 2430 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019650279032723696, + "loss": 1.1601, + "step": 2431 + }, + { + "epoch": 0.09, + "learning_rate": 0.000196499905727039, + "loss": 1.1335, + "step": 2432 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019649701995887048, + "loss": 1.182, + "step": 2433 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019649413302276635, + "loss": 1.1892, + "step": 2434 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001964912449187616, + "loss": 1.1021, + "step": 2435 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001964883556468911, + "loss": 1.274, + "step": 2436 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019648546520718987, + "loss": 1.1693, + "step": 2437 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019648257359969286, + "loss": 1.1931, + "step": 2438 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001964796808244351, + "loss": 1.2704, + "step": 2439 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001964767868814516, + "loss": 1.1382, + "step": 2440 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001964738917707774, + "loss": 1.1799, + "step": 2441 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019647099549244748, + "loss": 1.1406, + "step": 2442 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019646809804649694, + "loss": 1.1291, + "step": 2443 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019646519943296084, + "loss": 1.2337, + "step": 2444 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019646229965187428, + "loss": 1.1559, + "step": 2445 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019645939870327234, + "loss": 1.2524, + "step": 2446 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019645649658719014, + "loss": 1.2174, + "step": 2447 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001964535933036628, + "loss": 1.3174, + "step": 2448 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001964506888527254, + "loss": 1.1879, + "step": 2449 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001964477832344132, + "loss": 1.267, + "step": 2450 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019644487644876132, + "loss": 1.0925, + "step": 2451 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019644196849580493, + "loss": 1.3004, + "step": 2452 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019643905937557924, + "loss": 1.2432, + "step": 2453 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019643614908811948, + "loss": 0.9927, + "step": 2454 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019643323763346082, + "loss": 1.1964, + "step": 2455 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019643032501163855, + "loss": 1.0973, + "step": 2456 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001964274112226879, + "loss": 1.3987, + "step": 2457 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019642449626664413, + "loss": 1.248, + "step": 2458 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019642158014354254, + "loss": 1.086, + "step": 2459 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019641866285341838, + "loss": 1.2454, + "step": 2460 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019641574439630701, + "loss": 1.1209, + "step": 2461 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019641282477224375, + "loss": 1.2686, + "step": 2462 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001964099039812639, + "loss": 1.1091, + "step": 2463 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019640698202340285, + "loss": 1.3838, + "step": 2464 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019640405889869596, + "loss": 1.1008, + "step": 2465 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019640113460717859, + "loss": 1.1089, + "step": 2466 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019639820914888614, + "loss": 1.1597, + "step": 2467 + }, + { + "epoch": 0.09, + "learning_rate": 0.000196395282523854, + "loss": 1.1729, + "step": 2468 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019639235473211766, + "loss": 1.1201, + "step": 2469 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019638942577371248, + "loss": 1.1408, + "step": 2470 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019638649564867393, + "loss": 1.2314, + "step": 2471 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019638356435703748, + "loss": 1.1092, + "step": 2472 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019638063189883863, + "loss": 1.1079, + "step": 2473 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019637769827411287, + "loss": 1.1918, + "step": 2474 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019637476348289567, + "loss": 1.1158, + "step": 2475 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019637182752522256, + "loss": 1.2513, + "step": 2476 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019636889040112912, + "loss": 1.2902, + "step": 2477 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019636595211065084, + "loss": 1.3088, + "step": 2478 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019636301265382332, + "loss": 1.1491, + "step": 2479 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001963600720306821, + "loss": 1.2222, + "step": 2480 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019635713024126282, + "loss": 1.1555, + "step": 2481 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019635418728560105, + "loss": 1.1646, + "step": 2482 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019635124316373244, + "loss": 1.1567, + "step": 2483 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001963482978756926, + "loss": 0.9081, + "step": 2484 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019634535142151716, + "loss": 1.0699, + "step": 2485 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001963424038012418, + "loss": 1.1287, + "step": 2486 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019633945501490224, + "loss": 1.1557, + "step": 2487 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019633650506253414, + "loss": 1.2627, + "step": 2488 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019633355394417317, + "loss": 1.1267, + "step": 2489 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019633060165985506, + "loss": 1.2051, + "step": 2490 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019632764820961556, + "loss": 1.1728, + "step": 2491 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019632469359349045, + "loss": 1.1821, + "step": 2492 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019632173781151542, + "loss": 1.2357, + "step": 2493 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019631878086372629, + "loss": 1.2781, + "step": 2494 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019631582275015882, + "loss": 1.2016, + "step": 2495 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019631286347084889, + "loss": 1.3439, + "step": 2496 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019630990302583218, + "loss": 1.181, + "step": 2497 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019630694141514464, + "loss": 1.2914, + "step": 2498 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019630397863882207, + "loss": 1.085, + "step": 2499 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019630101469690034, + "loss": 1.2097, + "step": 2500 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019629804958941528, + "loss": 1.3287, + "step": 2501 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019629508331640288, + "loss": 1.1779, + "step": 2502 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019629211587789892, + "loss": 1.1376, + "step": 2503 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001962891472739394, + "loss": 1.1618, + "step": 2504 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019628617750456023, + "loss": 1.228, + "step": 2505 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019628320656979732, + "loss": 1.1526, + "step": 2506 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019628023446968665, + "loss": 1.3166, + "step": 2507 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019627726120426426, + "loss": 1.1086, + "step": 2508 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019627428677356602, + "loss": 1.2035, + "step": 2509 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019627131117762797, + "loss": 1.272, + "step": 2510 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001962683344164862, + "loss": 1.0978, + "step": 2511 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019626535649017664, + "loss": 1.258, + "step": 2512 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019626237739873536, + "loss": 1.2739, + "step": 2513 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019625939714219845, + "loss": 1.0127, + "step": 2514 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019625641572060194, + "loss": 1.1646, + "step": 2515 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019625343313398193, + "loss": 1.0507, + "step": 2516 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019625044938237455, + "loss": 1.3563, + "step": 2517 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019624746446581589, + "loss": 1.1513, + "step": 2518 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019624447838434205, + "loss": 1.1287, + "step": 2519 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019624149113798919, + "loss": 1.2412, + "step": 2520 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001962385027267935, + "loss": 1.228, + "step": 2521 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019623551315079113, + "loss": 1.1377, + "step": 2522 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019623252241001823, + "loss": 1.1441, + "step": 2523 + }, + { + "epoch": 0.09, + "learning_rate": 0.000196229530504511, + "loss": 1.197, + "step": 2524 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001962265374343057, + "loss": 1.1436, + "step": 2525 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019622354319943854, + "loss": 1.1618, + "step": 2526 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019622054779994575, + "loss": 1.2323, + "step": 2527 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019621755123586354, + "loss": 1.2602, + "step": 2528 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019621455350722825, + "loss": 1.2505, + "step": 2529 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019621155461407616, + "loss": 1.1598, + "step": 2530 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019620855455644353, + "loss": 1.1077, + "step": 2531 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019620555333436668, + "loss": 1.2858, + "step": 2532 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019620255094788194, + "loss": 1.2394, + "step": 2533 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019619954739702564, + "loss": 1.1708, + "step": 2534 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019619654268183414, + "loss": 1.2243, + "step": 2535 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019619353680234384, + "loss": 1.2201, + "step": 2536 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019619052975859106, + "loss": 1.2436, + "step": 2537 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001961875215506122, + "loss": 1.1985, + "step": 2538 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019618451217844372, + "loss": 1.1987, + "step": 2539 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019618150164212202, + "loss": 1.1976, + "step": 2540 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019617848994168353, + "loss": 1.2567, + "step": 2541 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001961754770771647, + "loss": 1.1949, + "step": 2542 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019617246304860203, + "loss": 1.1191, + "step": 2543 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001961694478560319, + "loss": 1.0912, + "step": 2544 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019616643149949096, + "loss": 1.1684, + "step": 2545 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019616341397901558, + "loss": 1.1437, + "step": 2546 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019616039529464233, + "loss": 1.118, + "step": 2547 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001961573754464078, + "loss": 1.2058, + "step": 2548 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019615435443434844, + "loss": 1.1351, + "step": 2549 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001961513322585009, + "loss": 1.1499, + "step": 2550 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001961483089189017, + "loss": 1.046, + "step": 2551 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019614528441558746, + "loss": 1.2372, + "step": 2552 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001961422587485948, + "loss": 1.0565, + "step": 2553 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001961392319179603, + "loss": 1.2379, + "step": 2554 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019613620392372062, + "loss": 1.2162, + "step": 2555 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019613317476591244, + "loss": 1.1289, + "step": 2556 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019613014444457236, + "loss": 1.3371, + "step": 2557 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019612711295973712, + "loss": 1.0432, + "step": 2558 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019612408031144334, + "loss": 1.2791, + "step": 2559 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001961210464997278, + "loss": 1.2145, + "step": 2560 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019611801152462715, + "loss": 1.1593, + "step": 2561 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019611497538617816, + "loss": 1.1385, + "step": 2562 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019611193808441758, + "loss": 1.106, + "step": 2563 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019610889961938218, + "loss": 1.2402, + "step": 2564 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001961058599911087, + "loss": 1.1123, + "step": 2565 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019610281919963396, + "loss": 1.2612, + "step": 2566 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019609977724499475, + "loss": 1.1921, + "step": 2567 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019609673412722785, + "loss": 1.0816, + "step": 2568 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001960936898463702, + "loss": 1.3265, + "step": 2569 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019609064440245856, + "loss": 1.291, + "step": 2570 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019608759779552977, + "loss": 1.1052, + "step": 2571 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001960845500256208, + "loss": 1.0763, + "step": 2572 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019608150109276848, + "loss": 1.1778, + "step": 2573 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019607845099700968, + "loss": 1.1707, + "step": 2574 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019607539973838135, + "loss": 1.0765, + "step": 2575 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019607234731692047, + "loss": 1.2224, + "step": 2576 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019606929373266387, + "loss": 1.1688, + "step": 2577 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001960662389856486, + "loss": 1.1616, + "step": 2578 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019606318307591162, + "loss": 1.0694, + "step": 2579 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019606012600348989, + "loss": 1.0636, + "step": 2580 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001960570677684204, + "loss": 1.139, + "step": 2581 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019605400837074025, + "loss": 1.0871, + "step": 2582 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019605094781048634, + "loss": 1.2316, + "step": 2583 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001960478860876958, + "loss": 1.0703, + "step": 2584 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001960448232024057, + "loss": 1.2121, + "step": 2585 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019604175915465306, + "loss": 1.0084, + "step": 2586 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019603869394447499, + "loss": 1.2239, + "step": 2587 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019603562757190856, + "loss": 1.2633, + "step": 2588 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019603256003699094, + "loss": 1.0056, + "step": 2589 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001960294913397592, + "loss": 1.1808, + "step": 2590 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001960264214802505, + "loss": 1.2245, + "step": 2591 + }, + { + "epoch": 0.09, + "learning_rate": 0.000196023350458502, + "loss": 1.2134, + "step": 2592 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001960202782745509, + "loss": 1.1586, + "step": 2593 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019601720492843435, + "loss": 1.1147, + "step": 2594 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001960141304201895, + "loss": 1.1237, + "step": 2595 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019601105474985366, + "loss": 1.2166, + "step": 2596 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019600797791746402, + "loss": 1.2484, + "step": 2597 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001960048999230578, + "loss": 1.149, + "step": 2598 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019600182076667225, + "loss": 1.1796, + "step": 2599 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019599874044834464, + "loss": 1.2709, + "step": 2600 + }, + { + "epoch": 0.09, + "eval_loss": 1.1679049730300903, + "eval_runtime": 855.2871, + "eval_samples_per_second": 28.131, + "eval_steps_per_second": 14.065, + "step": 2600 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019599565896811228, + "loss": 1.1034, + "step": 2601 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019599257632601244, + "loss": 1.0346, + "step": 2602 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019598949252208245, + "loss": 1.2283, + "step": 2603 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001959864075563596, + "loss": 1.1347, + "step": 2604 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019598332142888128, + "loss": 1.038, + "step": 2605 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019598023413968483, + "loss": 1.2011, + "step": 2606 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019597714568880757, + "loss": 1.1494, + "step": 2607 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019597405607628694, + "loss": 1.2141, + "step": 2608 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001959709653021603, + "loss": 1.2627, + "step": 2609 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019596787336646502, + "loss": 1.2525, + "step": 2610 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019596478026923865, + "loss": 1.159, + "step": 2611 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019596168601051847, + "loss": 1.0066, + "step": 2612 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019595859059034205, + "loss": 1.1122, + "step": 2613 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019595549400874677, + "loss": 1.2434, + "step": 2614 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001959523962657702, + "loss": 1.2194, + "step": 2615 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019594929736144976, + "loss": 1.1108, + "step": 2616 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019594619729582297, + "loss": 1.0736, + "step": 2617 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019594309606892738, + "loss": 1.0909, + "step": 2618 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001959399936808005, + "loss": 1.1931, + "step": 2619 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019593689013147985, + "loss": 0.9864, + "step": 2620 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019593378542100308, + "loss": 1.277, + "step": 2621 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019593067954940766, + "loss": 1.0465, + "step": 2622 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019592757251673127, + "loss": 1.3427, + "step": 2623 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001959244643230115, + "loss": 1.1112, + "step": 2624 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019592135496828594, + "loss": 1.072, + "step": 2625 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019591824445259223, + "loss": 1.1333, + "step": 2626 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019591513277596802, + "loss": 1.3316, + "step": 2627 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019591201993845097, + "loss": 1.146, + "step": 2628 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001959089059400788, + "loss": 1.0821, + "step": 2629 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019590579078088914, + "loss": 1.1585, + "step": 2630 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001959026744609197, + "loss": 1.082, + "step": 2631 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019589955698020824, + "loss": 1.1397, + "step": 2632 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001958964383387924, + "loss": 1.2695, + "step": 2633 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019589331853671005, + "loss": 1.1113, + "step": 2634 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019589019757399888, + "loss": 1.2881, + "step": 2635 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019588707545069667, + "loss": 1.2249, + "step": 2636 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019588395216684122, + "loss": 1.2494, + "step": 2637 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019588082772247032, + "loss": 1.0933, + "step": 2638 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019587770211762178, + "loss": 1.1532, + "step": 2639 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019587457535233345, + "loss": 1.0871, + "step": 2640 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019587144742664318, + "loss": 1.1803, + "step": 2641 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019586831834058876, + "loss": 1.2392, + "step": 2642 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019586518809420816, + "loss": 1.1, + "step": 2643 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001958620566875392, + "loss": 1.1825, + "step": 2644 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019585892412061982, + "loss": 1.1703, + "step": 2645 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019585579039348792, + "loss": 1.0768, + "step": 2646 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001958526555061814, + "loss": 1.0962, + "step": 2647 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019584951945873826, + "loss": 1.1828, + "step": 2648 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019584638225119642, + "loss": 1.0241, + "step": 2649 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019584324388359386, + "loss": 1.1085, + "step": 2650 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019584010435596852, + "loss": 1.1093, + "step": 2651 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019583696366835848, + "loss": 1.208, + "step": 2652 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001958338218208017, + "loss": 1.0845, + "step": 2653 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019583067881333622, + "loss": 1.1916, + "step": 2654 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001958275346460001, + "loss": 1.0389, + "step": 2655 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001958243893188313, + "loss": 0.9692, + "step": 2656 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019582124283186802, + "loss": 1.1234, + "step": 2657 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001958180951851483, + "loss": 1.23, + "step": 2658 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019581494637871017, + "loss": 1.1873, + "step": 2659 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019581179641259185, + "loss": 1.1779, + "step": 2660 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019580864528683138, + "loss": 1.1627, + "step": 2661 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019580549300146695, + "loss": 1.0669, + "step": 2662 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001958023395565367, + "loss": 1.2917, + "step": 2663 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019579918495207874, + "loss": 1.1435, + "step": 2664 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019579602918813133, + "loss": 1.2653, + "step": 2665 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019579287226473264, + "loss": 1.1868, + "step": 2666 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019578971418192088, + "loss": 1.1138, + "step": 2667 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019578655493973426, + "loss": 1.2118, + "step": 2668 + }, + { + "epoch": 0.09, + "learning_rate": 0.000195783394538211, + "loss": 1.0755, + "step": 2669 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019578023297738941, + "loss": 1.1345, + "step": 2670 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001957770702573077, + "loss": 1.2947, + "step": 2671 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001957739063780042, + "loss": 1.2004, + "step": 2672 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019577074133951715, + "loss": 1.0588, + "step": 2673 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001957675751418849, + "loss": 1.0629, + "step": 2674 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019576440778514576, + "loss": 1.3012, + "step": 2675 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019576123926933804, + "loss": 1.0991, + "step": 2676 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019575806959450012, + "loss": 1.099, + "step": 2677 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019575489876067035, + "loss": 1.1617, + "step": 2678 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019575172676788709, + "loss": 1.1936, + "step": 2679 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001957485536161888, + "loss": 1.2037, + "step": 2680 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001957453793056138, + "loss": 1.2395, + "step": 2681 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019574220383620055, + "loss": 1.164, + "step": 2682 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001957390272079875, + "loss": 1.2381, + "step": 2683 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001957358494210131, + "loss": 0.9913, + "step": 2684 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019573267047531573, + "loss": 1.1166, + "step": 2685 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019572949037093395, + "loss": 1.1634, + "step": 2686 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019572630910790623, + "loss": 1.1095, + "step": 2687 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001957231266862711, + "loss": 1.1011, + "step": 2688 + }, + { + "epoch": 0.09, + "learning_rate": 0.000195719943106067, + "loss": 1.2051, + "step": 2689 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019571675836733255, + "loss": 1.2634, + "step": 2690 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019571357247010623, + "loss": 1.1205, + "step": 2691 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019571038541442665, + "loss": 1.0548, + "step": 2692 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019570719720033236, + "loss": 1.2669, + "step": 2693 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019570400782786194, + "loss": 1.2205, + "step": 2694 + }, + { + "epoch": 0.09, + "learning_rate": 0.000195700817297054, + "loss": 1.1097, + "step": 2695 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019569762560794717, + "loss": 1.2309, + "step": 2696 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019569443276058003, + "loss": 1.1499, + "step": 2697 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001956912387549913, + "loss": 1.0591, + "step": 2698 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019568804359121957, + "loss": 1.0794, + "step": 2699 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019568484726930355, + "loss": 1.078, + "step": 2700 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019568164978928194, + "loss": 1.2537, + "step": 2701 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019567845115119338, + "loss": 1.1168, + "step": 2702 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019567525135507664, + "loss": 1.1759, + "step": 2703 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019567205040097046, + "loss": 1.056, + "step": 2704 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019566884828891353, + "loss": 1.2648, + "step": 2705 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001956656450189446, + "loss": 1.0193, + "step": 2706 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001956624405911025, + "loss": 1.2575, + "step": 2707 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019565923500542594, + "loss": 1.116, + "step": 2708 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001956560282619538, + "loss": 1.1845, + "step": 2709 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019565282036072487, + "loss": 1.1089, + "step": 2710 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001956496113017779, + "loss": 1.1269, + "step": 2711 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019564640108515186, + "loss": 1.3482, + "step": 2712 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019564318971088552, + "loss": 1.2154, + "step": 2713 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019563997717901774, + "loss": 1.0327, + "step": 2714 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019563676348958742, + "loss": 0.9974, + "step": 2715 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019563354864263348, + "loss": 1.1569, + "step": 2716 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001956303326381948, + "loss": 1.2203, + "step": 2717 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019562711547631032, + "loss": 1.0525, + "step": 2718 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019562389715701897, + "loss": 1.038, + "step": 2719 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001956206776803597, + "loss": 1.3221, + "step": 2720 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019561745704637151, + "loss": 1.0764, + "step": 2721 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019561423525509333, + "loss": 1.1498, + "step": 2722 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001956110123065642, + "loss": 1.1085, + "step": 2723 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001956077882008231, + "loss": 1.0614, + "step": 2724 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019560456293790904, + "loss": 1.0937, + "step": 2725 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001956013365178611, + "loss": 1.2969, + "step": 2726 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001955981089407183, + "loss": 1.2244, + "step": 2727 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019559488020651968, + "loss": 1.1905, + "step": 2728 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019559165031530438, + "loss": 1.1896, + "step": 2729 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019558841926711144, + "loss": 1.2613, + "step": 2730 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019558518706198002, + "loss": 1.078, + "step": 2731 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019558195369994918, + "loss": 1.1849, + "step": 2732 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019557871918105807, + "loss": 1.127, + "step": 2733 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001955754835053459, + "loss": 1.1551, + "step": 2734 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019557224667285174, + "loss": 1.2058, + "step": 2735 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019556900868361482, + "loss": 1.1576, + "step": 2736 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019556576953767434, + "loss": 1.2586, + "step": 2737 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001955625292350695, + "loss": 0.9509, + "step": 2738 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019555928777583944, + "loss": 1.0978, + "step": 2739 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001955560451600235, + "loss": 1.2854, + "step": 2740 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001955528013876609, + "loss": 1.2867, + "step": 2741 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019554955645879082, + "loss": 1.252, + "step": 2742 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019554631037345263, + "loss": 1.27, + "step": 2743 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001955430631316856, + "loss": 1.2318, + "step": 2744 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019553981473352901, + "loss": 1.1831, + "step": 2745 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001955365651790222, + "loss": 1.1849, + "step": 2746 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019553331446820445, + "loss": 1.1517, + "step": 2747 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019553006260111515, + "loss": 1.097, + "step": 2748 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019552680957779365, + "loss": 1.2604, + "step": 2749 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001955235553982793, + "loss": 1.2019, + "step": 2750 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019552030006261158, + "loss": 1.1736, + "step": 2751 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019551704357082973, + "loss": 1.088, + "step": 2752 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001955137859229733, + "loss": 1.344, + "step": 2753 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019551052711908168, + "loss": 1.1415, + "step": 2754 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019550726715919425, + "loss": 1.0394, + "step": 2755 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019550400604335057, + "loss": 1.1756, + "step": 2756 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019550074377159003, + "loss": 1.2487, + "step": 2757 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019549748034395216, + "loss": 1.1799, + "step": 2758 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019549421576047643, + "loss": 1.2248, + "step": 2759 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019549095002120237, + "loss": 1.1379, + "step": 2760 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001954876831261695, + "loss": 1.2114, + "step": 2761 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019548441507541737, + "loss": 1.1157, + "step": 2762 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001954811458689855, + "loss": 1.2496, + "step": 2763 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001954778755069135, + "loss": 1.2387, + "step": 2764 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019547460398924092, + "loss": 1.1208, + "step": 2765 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019547133131600738, + "loss": 1.1132, + "step": 2766 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001954680574872525, + "loss": 1.1434, + "step": 2767 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001954647825030159, + "loss": 1.1845, + "step": 2768 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019546150636333716, + "loss": 1.1431, + "step": 2769 + }, + { + "epoch": 0.1, + "learning_rate": 0.000195458229068256, + "loss": 1.1941, + "step": 2770 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019545495061781205, + "loss": 1.2934, + "step": 2771 + }, + { + "epoch": 0.1, + "learning_rate": 0.000195451671012045, + "loss": 1.0902, + "step": 2772 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019544839025099458, + "loss": 1.2429, + "step": 2773 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019544510833470043, + "loss": 1.2569, + "step": 2774 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019544182526320234, + "loss": 1.0123, + "step": 2775 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019543854103653999, + "loss": 1.199, + "step": 2776 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019543525565475316, + "loss": 1.1079, + "step": 2777 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001954319691178816, + "loss": 1.1013, + "step": 2778 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019542868142596512, + "loss": 1.1224, + "step": 2779 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019542539257904346, + "loss": 1.1149, + "step": 2780 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019542210257715649, + "loss": 1.1466, + "step": 2781 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019541881142034394, + "loss": 1.1774, + "step": 2782 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019541551910864574, + "loss": 1.0757, + "step": 2783 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001954122256421017, + "loss": 1.1251, + "step": 2784 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019540893102075165, + "loss": 1.2928, + "step": 2785 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001954056352446355, + "loss": 1.0343, + "step": 2786 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019540233831379314, + "loss": 1.3684, + "step": 2787 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019539904022826448, + "loss": 1.0766, + "step": 2788 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001953957409880894, + "loss": 1.0571, + "step": 2789 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019539244059330787, + "loss": 0.9106, + "step": 2790 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001953891390439598, + "loss": 1.1841, + "step": 2791 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001953858363400852, + "loss": 1.2192, + "step": 2792 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019538253248172402, + "loss": 1.12, + "step": 2793 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019537922746891624, + "loss": 1.1658, + "step": 2794 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019537592130170186, + "loss": 1.013, + "step": 2795 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001953726139801209, + "loss": 1.1796, + "step": 2796 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001953693055042134, + "loss": 1.0407, + "step": 2797 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019536599587401937, + "loss": 1.2012, + "step": 2798 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019536268508957893, + "loss": 1.145, + "step": 2799 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001953593731509321, + "loss": 1.1537, + "step": 2800 + }, + { + "epoch": 0.1, + "eval_loss": 1.1405117511749268, + "eval_runtime": 847.2068, + "eval_samples_per_second": 28.399, + "eval_steps_per_second": 14.2, + "step": 2800 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019535606005811898, + "loss": 1.0657, + "step": 2801 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019535274581117964, + "loss": 1.1344, + "step": 2802 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019534943041015423, + "loss": 1.1518, + "step": 2803 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001953461138550829, + "loss": 1.1976, + "step": 2804 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019534279614600574, + "loss": 1.0645, + "step": 2805 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019533947728296293, + "loss": 1.2103, + "step": 2806 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019533615726599463, + "loss": 1.07, + "step": 2807 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019533283609514106, + "loss": 1.1834, + "step": 2808 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019532951377044234, + "loss": 1.0041, + "step": 2809 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019532619029193876, + "loss": 1.1014, + "step": 2810 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001953228656596705, + "loss": 1.1337, + "step": 2811 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001953195398736778, + "loss": 1.1445, + "step": 2812 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019531621293400093, + "loss": 1.1354, + "step": 2813 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019531288484068017, + "loss": 1.1341, + "step": 2814 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019530955559375577, + "loss": 0.9783, + "step": 2815 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019530622519326802, + "loss": 1.085, + "step": 2816 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019530289363925727, + "loss": 1.0498, + "step": 2817 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019529956093176384, + "loss": 1.1236, + "step": 2818 + }, + { + "epoch": 0.1, + "learning_rate": 0.000195296227070828, + "loss": 1.2181, + "step": 2819 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019529289205649019, + "loss": 1.1146, + "step": 2820 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001952895558887907, + "loss": 1.0315, + "step": 2821 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019528621856776995, + "loss": 1.1387, + "step": 2822 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001952828800934683, + "loss": 1.1805, + "step": 2823 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019527954046592622, + "loss": 1.0416, + "step": 2824 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019527619968518408, + "loss": 1.1594, + "step": 2825 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019527285775128232, + "loss": 1.2053, + "step": 2826 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001952695146642614, + "loss": 1.129, + "step": 2827 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019526617042416175, + "loss": 1.118, + "step": 2828 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019526282503102392, + "loss": 1.1349, + "step": 2829 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019525947848488833, + "loss": 1.1105, + "step": 2830 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001952561307857955, + "loss": 1.1462, + "step": 2831 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019525278193378593, + "loss": 1.182, + "step": 2832 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001952494319289002, + "loss": 1.0039, + "step": 2833 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019524608077117888, + "loss": 1.0299, + "step": 2834 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019524272846066244, + "loss": 1.0995, + "step": 2835 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001952393749973915, + "loss": 1.0782, + "step": 2836 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019523602038140666, + "loss": 1.1647, + "step": 2837 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001952326646127485, + "loss": 1.0543, + "step": 2838 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019522930769145765, + "loss": 1.0636, + "step": 2839 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019522594961757475, + "loss": 1.1186, + "step": 2840 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001952225903911404, + "loss": 1.1586, + "step": 2841 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019521923001219527, + "loss": 1.1195, + "step": 2842 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001952158684807801, + "loss": 1.1253, + "step": 2843 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019521250579693548, + "loss": 1.0795, + "step": 2844 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019520914196070218, + "loss": 1.3187, + "step": 2845 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001952057769721209, + "loss": 1.0886, + "step": 2846 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019520241083123235, + "loss": 1.125, + "step": 2847 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019519904353807724, + "loss": 1.0891, + "step": 2848 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019519567509269638, + "loss": 1.0868, + "step": 2849 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019519230549513053, + "loss": 1.2038, + "step": 2850 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019518893474542047, + "loss": 1.1999, + "step": 2851 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019518556284360696, + "loss": 1.0513, + "step": 2852 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019518218978973088, + "loss": 1.0994, + "step": 2853 + }, + { + "epoch": 0.1, + "learning_rate": 0.000195178815583833, + "loss": 1.1785, + "step": 2854 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019517544022595417, + "loss": 1.1219, + "step": 2855 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019517206371613528, + "loss": 1.2072, + "step": 2856 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019516868605441715, + "loss": 1.1133, + "step": 2857 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019516530724084067, + "loss": 1.0365, + "step": 2858 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019516192727544676, + "loss": 1.2082, + "step": 2859 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019515854615827628, + "loss": 1.0691, + "step": 2860 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019515516388937023, + "loss": 1.2835, + "step": 2861 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019515178046876946, + "loss": 1.1234, + "step": 2862 + }, + { + "epoch": 0.1, + "learning_rate": 0.000195148395896515, + "loss": 1.02, + "step": 2863 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019514501017264777, + "loss": 1.033, + "step": 2864 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019514162329720876, + "loss": 1.1583, + "step": 2865 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019513823527023895, + "loss": 1.17, + "step": 2866 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001951348460917793, + "loss": 1.0066, + "step": 2867 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019513145576187095, + "loss": 1.0966, + "step": 2868 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019512806428055484, + "loss": 1.303, + "step": 2869 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019512467164787208, + "loss": 1.0975, + "step": 2870 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001951212778638637, + "loss": 1.0501, + "step": 2871 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019511788292857077, + "loss": 1.1732, + "step": 2872 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019511448684203435, + "loss": 1.103, + "step": 2873 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019511108960429562, + "loss": 1.1228, + "step": 2874 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019510769121539566, + "loss": 0.9973, + "step": 2875 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019510429167537556, + "loss": 1.1161, + "step": 2876 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001951008909842765, + "loss": 1.1357, + "step": 2877 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001950974891421397, + "loss": 1.1819, + "step": 2878 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019509408614900624, + "loss": 1.1929, + "step": 2879 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019509068200491736, + "loss": 1.1687, + "step": 2880 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019508727670991424, + "loss": 1.2717, + "step": 2881 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001950838702640381, + "loss": 1.1644, + "step": 2882 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001950804626673302, + "loss": 1.0149, + "step": 2883 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019507705391983172, + "loss": 0.9198, + "step": 2884 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019507364402158398, + "loss": 1.2865, + "step": 2885 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001950702329726282, + "loss": 1.0235, + "step": 2886 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019506682077300572, + "loss": 1.1165, + "step": 2887 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001950634074227578, + "loss": 0.9573, + "step": 2888 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019505999292192573, + "loss": 1.0884, + "step": 2889 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001950565772705509, + "loss": 1.0589, + "step": 2890 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019505316046867458, + "loss": 1.0206, + "step": 2891 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019504974251633822, + "loss": 1.2226, + "step": 2892 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001950463234135831, + "loss": 1.0295, + "step": 2893 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019504290316045065, + "loss": 1.0879, + "step": 2894 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019503948175698222, + "loss": 1.2031, + "step": 2895 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019503605920321925, + "loss": 1.0588, + "step": 2896 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001950326354992032, + "loss": 1.2432, + "step": 2897 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019502921064497547, + "loss": 1.0914, + "step": 2898 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001950257846405775, + "loss": 1.1192, + "step": 2899 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001950223574860508, + "loss": 1.0037, + "step": 2900 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019501892918143677, + "loss": 1.0713, + "step": 2901 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019501549972677698, + "loss": 1.2523, + "step": 2902 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019501206912211295, + "loss": 1.0887, + "step": 2903 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019500863736748611, + "loss": 1.1564, + "step": 2904 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019500520446293808, + "loss": 1.1078, + "step": 2905 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019500177040851038, + "loss": 1.1156, + "step": 2906 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001949983352042446, + "loss": 0.9986, + "step": 2907 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019499489885018223, + "loss": 0.9519, + "step": 2908 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019499146134636496, + "loss": 1.1535, + "step": 2909 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019498802269283437, + "loss": 1.1705, + "step": 2910 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019498458288963203, + "loss": 1.104, + "step": 2911 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019498114193679963, + "loss": 1.0203, + "step": 2912 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001949776998343788, + "loss": 1.0403, + "step": 2913 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001949742565824112, + "loss": 1.0917, + "step": 2914 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001949708121809385, + "loss": 1.0487, + "step": 2915 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019496736663000242, + "loss": 1.0754, + "step": 2916 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001949639199296446, + "loss": 1.0492, + "step": 2917 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019496047207990679, + "loss": 1.1187, + "step": 2918 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019495702308083075, + "loss": 1.0917, + "step": 2919 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019495357293245816, + "loss": 1.1418, + "step": 2920 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019495012163483086, + "loss": 1.1173, + "step": 2921 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019494666918799057, + "loss": 1.1141, + "step": 2922 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019494321559197902, + "loss": 1.0561, + "step": 2923 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019493976084683813, + "loss": 1.0461, + "step": 2924 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019493630495260965, + "loss": 1.083, + "step": 2925 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019493284790933542, + "loss": 1.1817, + "step": 2926 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019492938971705725, + "loss": 1.0478, + "step": 2927 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019492593037581703, + "loss": 1.1497, + "step": 2928 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019492246988565666, + "loss": 1.0653, + "step": 2929 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019491900824661796, + "loss": 1.2606, + "step": 2930 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019491554545874283, + "loss": 1.0681, + "step": 2931 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001949120815220732, + "loss": 1.013, + "step": 2932 + }, + { + "epoch": 0.1, + "learning_rate": 0.000194908616436651, + "loss": 1.2579, + "step": 2933 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019490515020251822, + "loss": 1.2315, + "step": 2934 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001949016828197167, + "loss": 1.2434, + "step": 2935 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019489821428828852, + "loss": 1.3071, + "step": 2936 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019489474460827557, + "loss": 1.0933, + "step": 2937 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019489127377971988, + "loss": 1.071, + "step": 2938 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001948878018026635, + "loss": 1.2572, + "step": 2939 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019488432867714842, + "loss": 1.0963, + "step": 2940 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001948808544032166, + "loss": 1.04, + "step": 2941 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019487737898091022, + "loss": 1.1407, + "step": 2942 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001948739024102713, + "loss": 1.1465, + "step": 2943 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019487042469134186, + "loss": 1.1006, + "step": 2944 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019486694582416405, + "loss": 1.0147, + "step": 2945 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019486346580877996, + "loss": 0.9714, + "step": 2946 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019485998464523172, + "loss": 1.1468, + "step": 2947 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019485650233356142, + "loss": 1.1049, + "step": 2948 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001948530188738113, + "loss": 1.0709, + "step": 2949 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019484953426602343, + "loss": 0.9843, + "step": 2950 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019484604851024003, + "loss": 1.0828, + "step": 2951 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019484256160650327, + "loss": 1.1092, + "step": 2952 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019483907355485536, + "loss": 1.1804, + "step": 2953 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019483558435533853, + "loss": 1.0253, + "step": 2954 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019483209400799497, + "loss": 0.9716, + "step": 2955 + }, + { + "epoch": 0.1, + "learning_rate": 0.000194828602512867, + "loss": 1.0626, + "step": 2956 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001948251098699968, + "loss": 1.038, + "step": 2957 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019482161607942667, + "loss": 1.1883, + "step": 2958 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019481812114119894, + "loss": 0.9894, + "step": 2959 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019481462505535583, + "loss": 1.2908, + "step": 2960 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019481112782193972, + "loss": 1.1408, + "step": 2961 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019480762944099292, + "loss": 1.2224, + "step": 2962 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019480412991255776, + "loss": 1.1218, + "step": 2963 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001948006292366766, + "loss": 1.0171, + "step": 2964 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019479712741339182, + "loss": 1.1416, + "step": 2965 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001947936244427458, + "loss": 1.2906, + "step": 2966 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019479012032478092, + "loss": 1.0742, + "step": 2967 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001947866150595396, + "loss": 1.1965, + "step": 2968 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001947831086470643, + "loss": 1.1165, + "step": 2969 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001947796010873974, + "loss": 1.1465, + "step": 2970 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001947760923805814, + "loss": 1.233, + "step": 2971 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019477258252665873, + "loss": 1.1907, + "step": 2972 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019476907152567193, + "loss": 1.2407, + "step": 2973 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019476555937766342, + "loss": 1.0566, + "step": 2974 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019476204608267578, + "loss": 1.1406, + "step": 2975 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019475853164075148, + "loss": 1.1637, + "step": 2976 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019475501605193307, + "loss": 1.2581, + "step": 2977 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019475149931626312, + "loss": 1.1309, + "step": 2978 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019474798143378417, + "loss": 1.1565, + "step": 2979 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001947444624045388, + "loss": 1.1198, + "step": 2980 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019474094222856963, + "loss": 1.0732, + "step": 2981 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019473742090591922, + "loss": 1.0812, + "step": 2982 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001947338984366302, + "loss": 1.106, + "step": 2983 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019473037482074524, + "loss": 1.0828, + "step": 2984 + }, + { + "epoch": 0.1, + "learning_rate": 0.000194726850058307, + "loss": 1.0865, + "step": 2985 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019472332414935804, + "loss": 1.049, + "step": 2986 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019471979709394116, + "loss": 1.1347, + "step": 2987 + }, + { + "epoch": 0.1, + "learning_rate": 0.000194716268892099, + "loss": 1.1126, + "step": 2988 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019471273954387418, + "loss": 1.1884, + "step": 2989 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019470920904930954, + "loss": 1.0099, + "step": 2990 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019470567740844776, + "loss": 1.1137, + "step": 2991 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019470214462133161, + "loss": 1.167, + "step": 2992 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019469861068800376, + "loss": 1.0914, + "step": 2993 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001946950756085071, + "loss": 1.1482, + "step": 2994 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019469153938288437, + "loss": 1.0318, + "step": 2995 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019468800201117832, + "loss": 1.0478, + "step": 2996 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019468446349343185, + "loss": 1.1035, + "step": 2997 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019468092382968772, + "loss": 1.1485, + "step": 2998 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019467738301998878, + "loss": 0.993, + "step": 2999 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019467384106437794, + "loss": 1.1408, + "step": 3000 + }, + { + "epoch": 0.1, + "eval_loss": 1.1153876781463623, + "eval_runtime": 847.449, + "eval_samples_per_second": 28.391, + "eval_steps_per_second": 14.196, + "step": 3000 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019467029796289804, + "loss": 1.0502, + "step": 3001 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019466675371559194, + "loss": 1.0869, + "step": 3002 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019466320832250253, + "loss": 1.0212, + "step": 3003 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019465966178367278, + "loss": 1.1455, + "step": 3004 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019465611409914555, + "loss": 0.9807, + "step": 3005 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019465256526896382, + "loss": 1.1323, + "step": 3006 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019464901529317054, + "loss": 1.1375, + "step": 3007 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019464546417180867, + "loss": 1.1674, + "step": 3008 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019464191190492116, + "loss": 1.1554, + "step": 3009 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019463835849255106, + "loss": 1.1709, + "step": 3010 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019463480393474135, + "loss": 1.1773, + "step": 3011 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019463124823153503, + "loss": 1.1215, + "step": 3012 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019462769138297515, + "loss": 1.0463, + "step": 3013 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001946241333891048, + "loss": 1.012, + "step": 3014 + }, + { + "epoch": 0.11, + "learning_rate": 0.000194620574249967, + "loss": 1.0563, + "step": 3015 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019461701396560486, + "loss": 1.23, + "step": 3016 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019461345253606141, + "loss": 0.958, + "step": 3017 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001946098899613798, + "loss": 1.097, + "step": 3018 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019460632624160318, + "loss": 1.1439, + "step": 3019 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001946027613767746, + "loss": 1.1094, + "step": 3020 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019459919536693728, + "loss": 1.0614, + "step": 3021 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019459562821213435, + "loss": 1.0947, + "step": 3022 + }, + { + "epoch": 0.11, + "learning_rate": 0.000194592059912409, + "loss": 1.221, + "step": 3023 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019458849046780438, + "loss": 1.2204, + "step": 3024 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019458491987836375, + "loss": 1.0419, + "step": 3025 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019458134814413026, + "loss": 1.0817, + "step": 3026 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001945777752651472, + "loss": 1.0231, + "step": 3027 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001945742012414578, + "loss": 1.0179, + "step": 3028 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019457062607310528, + "loss": 1.0691, + "step": 3029 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019456704976013295, + "loss": 1.0847, + "step": 3030 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001945634723025841, + "loss": 1.2167, + "step": 3031 + }, + { + "epoch": 0.11, + "learning_rate": 0.000194559893700502, + "loss": 1.0138, + "step": 3032 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019455631395392996, + "loss": 1.1564, + "step": 3033 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019455273306291133, + "loss": 1.0998, + "step": 3034 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019454915102748945, + "loss": 1.1906, + "step": 3035 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019454556784770767, + "loss": 1.2193, + "step": 3036 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019454198352360935, + "loss": 1.1032, + "step": 3037 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019453839805523787, + "loss": 1.0429, + "step": 3038 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019453481144263667, + "loss": 1.1578, + "step": 3039 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001945312236858491, + "loss": 1.1458, + "step": 3040 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001945276347849186, + "loss": 1.0836, + "step": 3041 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019452404473988862, + "loss": 1.0594, + "step": 3042 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001945204535508026, + "loss": 1.1519, + "step": 3043 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019451686121770402, + "loss": 1.0857, + "step": 3044 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019451326774063636, + "loss": 1.0978, + "step": 3045 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001945096731196431, + "loss": 1.1115, + "step": 3046 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019450607735476774, + "loss": 1.0649, + "step": 3047 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019450248044605383, + "loss": 1.0519, + "step": 3048 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019449888239354488, + "loss": 1.0528, + "step": 3049 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019449528319728448, + "loss": 1.0689, + "step": 3050 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019449168285731608, + "loss": 1.0878, + "step": 3051 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019448808137368338, + "loss": 1.1224, + "step": 3052 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019448447874642995, + "loss": 1.1025, + "step": 3053 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019448087497559935, + "loss": 1.089, + "step": 3054 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019447727006123523, + "loss": 1.1372, + "step": 3055 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019447366400338116, + "loss": 0.9609, + "step": 3056 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019447005680208086, + "loss": 1.0112, + "step": 3057 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019446644845737797, + "loss": 1.1495, + "step": 3058 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019446283896931612, + "loss": 1.1379, + "step": 3059 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019445922833793907, + "loss": 1.14, + "step": 3060 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019445561656329045, + "loss": 1.1522, + "step": 3061 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019445200364541404, + "loss": 1.0554, + "step": 3062 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001944483895843535, + "loss": 1.0909, + "step": 3063 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019444477438015264, + "loss": 1.1634, + "step": 3064 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019444115803285517, + "loss": 1.1936, + "step": 3065 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019443754054250488, + "loss": 1.1463, + "step": 3066 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001944339219091455, + "loss": 1.074, + "step": 3067 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019443030213282093, + "loss": 1.1925, + "step": 3068 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019442668121357493, + "loss": 0.9103, + "step": 3069 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019442305915145128, + "loss": 1.2136, + "step": 3070 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019441943594649387, + "loss": 1.2422, + "step": 3071 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019441581159874654, + "loss": 1.1261, + "step": 3072 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001944121861082532, + "loss": 1.1682, + "step": 3073 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019440855947505762, + "loss": 1.1842, + "step": 3074 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001944049316992038, + "loss": 1.2524, + "step": 3075 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019440130278073565, + "loss": 1.2052, + "step": 3076 + }, + { + "epoch": 0.11, + "learning_rate": 0.000194397672719697, + "loss": 1.0225, + "step": 3077 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019439404151613186, + "loss": 1.0987, + "step": 3078 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019439040917008417, + "loss": 0.9847, + "step": 3079 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001943867756815979, + "loss": 1.0544, + "step": 3080 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019438314105071696, + "loss": 1.0936, + "step": 3081 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001943795052774854, + "loss": 1.1314, + "step": 3082 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019437586836194726, + "loss": 0.9923, + "step": 3083 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019437223030414647, + "loss": 1.2512, + "step": 3084 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019436859110412712, + "loss": 1.1198, + "step": 3085 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019436495076193325, + "loss": 1.2049, + "step": 3086 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001943613092776089, + "loss": 1.0074, + "step": 3087 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001943576666511982, + "loss": 1.0521, + "step": 3088 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019435402288274517, + "loss": 1.1274, + "step": 3089 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019435037797229393, + "loss": 1.0742, + "step": 3090 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019434673191988863, + "loss": 1.1236, + "step": 3091 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019434308472557338, + "loss": 1.1058, + "step": 3092 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019433943638939228, + "loss": 0.9016, + "step": 3093 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019433578691138953, + "loss": 1.0182, + "step": 3094 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019433213629160931, + "loss": 1.1331, + "step": 3095 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001943284845300958, + "loss": 1.0057, + "step": 3096 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019432483162689317, + "loss": 1.0513, + "step": 3097 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019432117758204565, + "loss": 1.0399, + "step": 3098 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019431752239559746, + "loss": 1.0564, + "step": 3099 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019431386606759285, + "loss": 1.2004, + "step": 3100 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019431020859807607, + "loss": 1.0436, + "step": 3101 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001943065499870914, + "loss": 1.0796, + "step": 3102 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001943028902346831, + "loss": 0.9842, + "step": 3103 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001942992293408955, + "loss": 1.0441, + "step": 3104 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019429556730577284, + "loss": 1.2376, + "step": 3105 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001942919041293595, + "loss": 1.3289, + "step": 3106 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001942882398116998, + "loss": 1.1729, + "step": 3107 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001942845743528381, + "loss": 1.0813, + "step": 3108 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019428090775281876, + "loss": 1.1516, + "step": 3109 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019427724001168617, + "loss": 1.1429, + "step": 3110 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019427357112948468, + "loss": 1.0675, + "step": 3111 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019426990110625874, + "loss": 1.2527, + "step": 3112 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019426622994205274, + "loss": 1.08, + "step": 3113 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019426255763691113, + "loss": 1.0354, + "step": 3114 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019425888419087833, + "loss": 1.1981, + "step": 3115 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019425520960399887, + "loss": 1.268, + "step": 3116 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019425153387631717, + "loss": 1.0352, + "step": 3117 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001942478570078777, + "loss": 0.9873, + "step": 3118 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019424417899872501, + "loss": 1.2128, + "step": 3119 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019424049984890357, + "loss": 1.1387, + "step": 3120 + }, + { + "epoch": 0.11, + "learning_rate": 0.000194236819558458, + "loss": 1.105, + "step": 3121 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001942331381274327, + "loss": 1.1279, + "step": 3122 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019422945555587235, + "loss": 1.2552, + "step": 3123 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001942257718438215, + "loss": 1.2241, + "step": 3124 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019422208699132468, + "loss": 1.1437, + "step": 3125 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001942184009984265, + "loss": 1.1657, + "step": 3126 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019421471386517165, + "loss": 1.0278, + "step": 3127 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019421102559160467, + "loss": 1.1094, + "step": 3128 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019420733617777022, + "loss": 1.1334, + "step": 3129 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019420364562371302, + "loss": 1.0799, + "step": 3130 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019419995392947766, + "loss": 1.0748, + "step": 3131 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019419626109510883, + "loss": 0.9226, + "step": 3132 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019419256712065124, + "loss": 1.0101, + "step": 3133 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019418887200614958, + "loss": 1.0934, + "step": 3134 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019418517575164865, + "loss": 1.1301, + "step": 3135 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001941814783571931, + "loss": 1.1914, + "step": 3136 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019417777982282775, + "loss": 1.1913, + "step": 3137 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001941740801485973, + "loss": 1.1118, + "step": 3138 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019417037933454654, + "loss": 1.1619, + "step": 3139 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001941666773807203, + "loss": 1.1621, + "step": 3140 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019416297428716335, + "loss": 1.1743, + "step": 3141 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001941592700539205, + "loss": 1.1773, + "step": 3142 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019415556468103663, + "loss": 1.109, + "step": 3143 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019415185816855658, + "loss": 1.0852, + "step": 3144 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019414815051652519, + "loss": 1.0737, + "step": 3145 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019414444172498736, + "loss": 1.0537, + "step": 3146 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019414073179398794, + "loss": 1.0847, + "step": 3147 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019413702072357183, + "loss": 1.0102, + "step": 3148 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019413330851378397, + "loss": 1.1172, + "step": 3149 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019412959516466934, + "loss": 1.0538, + "step": 3150 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019412588067627278, + "loss": 1.182, + "step": 3151 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001941221650486393, + "loss": 1.1033, + "step": 3152 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019411844828181392, + "loss": 0.9333, + "step": 3153 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019411473037584154, + "loss": 1.182, + "step": 3154 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001941110113307672, + "loss": 1.0011, + "step": 3155 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001941072911466359, + "loss": 1.0151, + "step": 3156 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019410356982349267, + "loss": 1.1803, + "step": 3157 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019409984736138257, + "loss": 1.1228, + "step": 3158 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019409612376035065, + "loss": 1.0267, + "step": 3159 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019409239902044197, + "loss": 1.0116, + "step": 3160 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001940886731417016, + "loss": 1.0406, + "step": 3161 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019408494612417463, + "loss": 1.1281, + "step": 3162 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001940812179679062, + "loss": 1.2818, + "step": 3163 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019407748867294143, + "loss": 1.1045, + "step": 3164 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019407375823932542, + "loss": 1.1726, + "step": 3165 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019407002666710336, + "loss": 1.0054, + "step": 3166 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019406629395632037, + "loss": 1.2409, + "step": 3167 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001940625601070217, + "loss": 1.1038, + "step": 3168 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019405882511925246, + "loss": 1.0929, + "step": 3169 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001940550889930579, + "loss": 1.2542, + "step": 3170 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019405135172848324, + "loss": 1.0921, + "step": 3171 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019404761332557374, + "loss": 1.1459, + "step": 3172 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001940438737843746, + "loss": 1.0762, + "step": 3173 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001940401331049311, + "loss": 1.0332, + "step": 3174 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001940363912872885, + "loss": 1.0032, + "step": 3175 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001940326483314921, + "loss": 1.0416, + "step": 3176 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001940289042375872, + "loss": 1.101, + "step": 3177 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019402515900561915, + "loss": 0.971, + "step": 3178 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019402141263563321, + "loss": 1.1458, + "step": 3179 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019401766512767478, + "loss": 1.0686, + "step": 3180 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019401391648178918, + "loss": 1.1388, + "step": 3181 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001940101666980218, + "loss": 1.055, + "step": 3182 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019400641577641805, + "loss": 1.0236, + "step": 3183 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001940026637170233, + "loss": 1.1445, + "step": 3184 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019399891051988296, + "loss": 1.0831, + "step": 3185 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019399515618504244, + "loss": 1.0652, + "step": 3186 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019399140071254723, + "loss": 1.2038, + "step": 3187 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019398764410244275, + "loss": 0.9836, + "step": 3188 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019398388635477446, + "loss": 1.0857, + "step": 3189 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019398012746958787, + "loss": 1.1307, + "step": 3190 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019397636744692846, + "loss": 1.0145, + "step": 3191 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019397260628684171, + "loss": 1.0247, + "step": 3192 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019396884398937322, + "loss": 1.0474, + "step": 3193 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019396508055456843, + "loss": 0.9898, + "step": 3194 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019396131598247297, + "loss": 1.106, + "step": 3195 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019395755027313234, + "loss": 1.1064, + "step": 3196 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019395378342659217, + "loss": 1.0011, + "step": 3197 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019395001544289804, + "loss": 0.9246, + "step": 3198 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019394624632209552, + "loss": 1.1676, + "step": 3199 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019394247606423028, + "loss": 1.0502, + "step": 3200 + }, + { + "epoch": 0.11, + "eval_loss": 1.0920900106430054, + "eval_runtime": 844.9902, + "eval_samples_per_second": 28.474, + "eval_steps_per_second": 14.237, + "step": 3200 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001939387046693479, + "loss": 1.057, + "step": 3201 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019393493213749408, + "loss": 1.053, + "step": 3202 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019393115846871447, + "loss": 1.152, + "step": 3203 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019392738366305468, + "loss": 1.1656, + "step": 3204 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019392360772056043, + "loss": 0.9668, + "step": 3205 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001939198306412775, + "loss": 1.1738, + "step": 3206 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001939160524252515, + "loss": 0.9855, + "step": 3207 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019391227307252824, + "loss": 1.0651, + "step": 3208 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001939084925831534, + "loss": 1.1709, + "step": 3209 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019390471095717272, + "loss": 1.1075, + "step": 3210 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019390092819463207, + "loss": 0.9611, + "step": 3211 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019389714429557717, + "loss": 1.0731, + "step": 3212 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001938933592600538, + "loss": 1.1695, + "step": 3213 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001938895730881078, + "loss": 1.0119, + "step": 3214 + }, + { + "epoch": 0.11, + "learning_rate": 0.000193885785779785, + "loss": 1.1301, + "step": 3215 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019388199733513122, + "loss": 1.0596, + "step": 3216 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019387820775419232, + "loss": 1.0105, + "step": 3217 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019387441703701416, + "loss": 1.0497, + "step": 3218 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019387062518364263, + "loss": 1.1516, + "step": 3219 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019386683219412362, + "loss": 1.1037, + "step": 3220 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019386303806850306, + "loss": 1.1953, + "step": 3221 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019385924280682687, + "loss": 1.0255, + "step": 3222 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019385544640914093, + "loss": 1.1283, + "step": 3223 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019385164887549122, + "loss": 1.0284, + "step": 3224 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019384785020592373, + "loss": 1.1004, + "step": 3225 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019384405040048441, + "loss": 1.1756, + "step": 3226 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019384024945921926, + "loss": 1.0442, + "step": 3227 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019383644738217427, + "loss": 1.0568, + "step": 3228 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001938326441693955, + "loss": 1.1316, + "step": 3229 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019382883982092887, + "loss": 1.2433, + "step": 3230 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019382503433682059, + "loss": 0.9837, + "step": 3231 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019382122771711657, + "loss": 1.1008, + "step": 3232 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019381741996186297, + "loss": 1.0656, + "step": 3233 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019381361107110586, + "loss": 1.08, + "step": 3234 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019380980104489134, + "loss": 1.1468, + "step": 3235 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019380598988326552, + "loss": 1.0001, + "step": 3236 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019380217758627451, + "loss": 1.1175, + "step": 3237 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019379836415396446, + "loss": 1.0975, + "step": 3238 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019379454958638154, + "loss": 1.1229, + "step": 3239 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019379073388357191, + "loss": 1.0404, + "step": 3240 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019378691704558177, + "loss": 1.1687, + "step": 3241 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019378309907245727, + "loss": 1.125, + "step": 3242 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019377927996424467, + "loss": 1.1039, + "step": 3243 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019377545972099015, + "loss": 1.0538, + "step": 3244 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019377163834274002, + "loss": 1.2528, + "step": 3245 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019376781582954044, + "loss": 1.1194, + "step": 3246 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019376399218143774, + "loss": 1.0652, + "step": 3247 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019376016739847818, + "loss": 1.1091, + "step": 3248 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019375634148070803, + "loss": 1.0257, + "step": 3249 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019375251442817361, + "loss": 1.1894, + "step": 3250 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019374868624092125, + "loss": 1.0178, + "step": 3251 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019374485691899727, + "loss": 1.0366, + "step": 3252 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001937410264624481, + "loss": 0.9366, + "step": 3253 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019373719487131993, + "loss": 0.9447, + "step": 3254 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019373336214565932, + "loss": 1.0903, + "step": 3255 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019372952828551252, + "loss": 1.1042, + "step": 3256 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019372569329092598, + "loss": 1.1533, + "step": 3257 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019372185716194616, + "loss": 1.1439, + "step": 3258 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019371801989861943, + "loss": 1.0503, + "step": 3259 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019371418150099224, + "loss": 1.025, + "step": 3260 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019371034196911108, + "loss": 1.158, + "step": 3261 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019370650130302243, + "loss": 1.1832, + "step": 3262 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001937026595027727, + "loss": 1.0048, + "step": 3263 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019369881656840845, + "loss": 1.07, + "step": 3264 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001936949724999762, + "loss": 0.9839, + "step": 3265 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019369112729752242, + "loss": 1.2569, + "step": 3266 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019368728096109372, + "loss": 0.9984, + "step": 3267 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019368343349073657, + "loss": 1.0472, + "step": 3268 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019367958488649765, + "loss": 1.0992, + "step": 3269 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019367573514842342, + "loss": 1.0902, + "step": 3270 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019367188427656058, + "loss": 1.0851, + "step": 3271 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019366803227095566, + "loss": 1.1138, + "step": 3272 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001936641791316553, + "loss": 1.2493, + "step": 3273 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001936603248587062, + "loss": 1.1676, + "step": 3274 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001936564694521549, + "loss": 1.2084, + "step": 3275 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019365261291204818, + "loss": 1.0786, + "step": 3276 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001936487552384326, + "loss": 1.0102, + "step": 3277 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019364489643135493, + "loss": 1.3231, + "step": 3278 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019364103649086186, + "loss": 1.0319, + "step": 3279 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019363717541700007, + "loss": 1.0396, + "step": 3280 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019363331320981634, + "loss": 1.0755, + "step": 3281 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019362944986935744, + "loss": 1.0072, + "step": 3282 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019362558539567, + "loss": 1.0103, + "step": 3283 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019362171978880096, + "loss": 1.0965, + "step": 3284 + }, + { + "epoch": 0.11, + "learning_rate": 0.000193617853048797, + "loss": 1.0966, + "step": 3285 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019361398517570494, + "loss": 0.9887, + "step": 3286 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019361011616957164, + "loss": 1.0843, + "step": 3287 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019360624603044385, + "loss": 0.9756, + "step": 3288 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019360237475836846, + "loss": 1.1278, + "step": 3289 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001935985023533923, + "loss": 1.1243, + "step": 3290 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001935946288155623, + "loss": 1.1025, + "step": 3291 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019359075414492524, + "loss": 1.065, + "step": 3292 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001935868783415281, + "loss": 1.0408, + "step": 3293 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001935830014054178, + "loss": 1.1904, + "step": 3294 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019357912333664118, + "loss": 1.1152, + "step": 3295 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019357524413524523, + "loss": 0.9257, + "step": 3296 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001935713638012769, + "loss": 1.0878, + "step": 3297 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019356748233478318, + "loss": 1.1027, + "step": 3298 + }, + { + "epoch": 0.12, + "learning_rate": 0.000193563599735811, + "loss": 1.1303, + "step": 3299 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001935597160044074, + "loss": 1.1334, + "step": 3300 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001935558311406193, + "loss": 1.1362, + "step": 3301 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019355194514449387, + "loss": 1.1377, + "step": 3302 + }, + { + "epoch": 0.12, + "learning_rate": 0.000193548058016078, + "loss": 1.0449, + "step": 3303 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001935441697554188, + "loss": 1.0883, + "step": 3304 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019354028036256332, + "loss": 1.1185, + "step": 3305 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019353638983755862, + "loss": 0.8931, + "step": 3306 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001935324981804518, + "loss": 1.1006, + "step": 3307 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019352860539129, + "loss": 1.1003, + "step": 3308 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019352471147012027, + "loss": 1.1878, + "step": 3309 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019352081641698976, + "loss": 1.0512, + "step": 3310 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019351692023194565, + "loss": 1.1444, + "step": 3311 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019351302291503508, + "loss": 1.007, + "step": 3312 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001935091244663052, + "loss": 0.8646, + "step": 3313 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019350522488580321, + "loss": 1.0993, + "step": 3314 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001935013241735763, + "loss": 1.2049, + "step": 3315 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019349742232967166, + "loss": 0.9133, + "step": 3316 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019349351935413659, + "loss": 1.045, + "step": 3317 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019348961524701824, + "loss": 1.1606, + "step": 3318 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019348571000836392, + "loss": 1.1096, + "step": 3319 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019348180363822087, + "loss": 1.0212, + "step": 3320 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019347789613663642, + "loss": 1.0945, + "step": 3321 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001934739875036578, + "loss": 1.1912, + "step": 3322 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001934700777393323, + "loss": 1.2063, + "step": 3323 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001934661668437073, + "loss": 1.0743, + "step": 3324 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019346225481683016, + "loss": 1.1479, + "step": 3325 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019345834165874814, + "loss": 1.0918, + "step": 3326 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019345442736950865, + "loss": 0.9858, + "step": 3327 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019345051194915908, + "loss": 1.0322, + "step": 3328 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019344659539774682, + "loss": 1.0811, + "step": 3329 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019344267771531922, + "loss": 1.1228, + "step": 3330 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019343875890192377, + "loss": 1.1375, + "step": 3331 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019343483895760782, + "loss": 0.9796, + "step": 3332 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019343091788241889, + "loss": 1.0799, + "step": 3333 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019342699567640438, + "loss": 1.0027, + "step": 3334 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019342307233961178, + "loss": 1.0962, + "step": 3335 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001934191478720886, + "loss": 1.0769, + "step": 3336 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019341522227388236, + "loss": 1.2401, + "step": 3337 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001934112955450405, + "loss": 1.1265, + "step": 3338 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019340736768561057, + "loss": 1.1508, + "step": 3339 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019340343869564012, + "loss": 1.1532, + "step": 3340 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019339950857517676, + "loss": 1.0062, + "step": 3341 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019339557732426794, + "loss": 1.0763, + "step": 3342 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019339164494296135, + "loss": 0.9777, + "step": 3343 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019338771143130452, + "loss": 1.1863, + "step": 3344 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019338377678934507, + "loss": 1.0079, + "step": 3345 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019337984101713067, + "loss": 1.166, + "step": 3346 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019337590411470888, + "loss": 1.0829, + "step": 3347 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019337196608212737, + "loss": 1.1437, + "step": 3348 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019336802691943388, + "loss": 1.0744, + "step": 3349 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019336408662667598, + "loss": 1.0389, + "step": 3350 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019336014520390143, + "loss": 1.043, + "step": 3351 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019335620265115787, + "loss": 0.9763, + "step": 3352 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001933522589684931, + "loss": 1.0498, + "step": 3353 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001933483141559548, + "loss": 1.0793, + "step": 3354 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019334436821359075, + "loss": 1.1102, + "step": 3355 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019334042114144863, + "loss": 1.0284, + "step": 3356 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019333647293957632, + "loss": 1.037, + "step": 3357 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019333252360802155, + "loss": 1.1484, + "step": 3358 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001933285731468321, + "loss": 0.978, + "step": 3359 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001933246215560558, + "loss": 1.0006, + "step": 3360 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001933206688357405, + "loss": 1.1357, + "step": 3361 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019331671498593406, + "loss": 0.9815, + "step": 3362 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019331276000668428, + "loss": 1.1572, + "step": 3363 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019330880389803904, + "loss": 1.0969, + "step": 3364 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019330484666004624, + "loss": 0.957, + "step": 3365 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019330088829275376, + "loss": 1.0276, + "step": 3366 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019329692879620954, + "loss": 1.1461, + "step": 3367 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019329296817046146, + "loss": 0.9863, + "step": 3368 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019328900641555748, + "loss": 1.1304, + "step": 3369 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019328504353154555, + "loss": 1.2431, + "step": 3370 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019328107951847363, + "loss": 1.1357, + "step": 3371 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001932771143763897, + "loss": 1.0482, + "step": 3372 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019327314810534176, + "loss": 1.0833, + "step": 3373 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019326918070537784, + "loss": 1.0157, + "step": 3374 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019326521217654586, + "loss": 1.1208, + "step": 3375 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019326124251889396, + "loss": 1.1825, + "step": 3376 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001932572717324701, + "loss": 1.0277, + "step": 3377 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019325329981732242, + "loss": 1.1416, + "step": 3378 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019324932677349896, + "loss": 1.1654, + "step": 3379 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001932453526010478, + "loss": 1.1526, + "step": 3380 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019324137730001702, + "loss": 1.0743, + "step": 3381 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001932374008704548, + "loss": 0.9998, + "step": 3382 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001932334233124092, + "loss": 1.0602, + "step": 3383 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001932294446259284, + "loss": 1.1022, + "step": 3384 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001932254648110605, + "loss": 1.0914, + "step": 3385 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019322148386785378, + "loss": 0.9888, + "step": 3386 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019321750179635634, + "loss": 1.176, + "step": 3387 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019321351859661636, + "loss": 1.0764, + "step": 3388 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019320953426868212, + "loss": 1.1707, + "step": 3389 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019320554881260179, + "loss": 1.0183, + "step": 3390 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019320156222842362, + "loss": 1.1262, + "step": 3391 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019319757451619586, + "loss": 1.0683, + "step": 3392 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001931935856759668, + "loss": 1.0411, + "step": 3393 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019318959570778467, + "loss": 1.0954, + "step": 3394 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001931856046116978, + "loss": 1.0365, + "step": 3395 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001931816123877545, + "loss": 0.9688, + "step": 3396 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019317761903600306, + "loss": 1.0993, + "step": 3397 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019317362455649183, + "loss": 1.0006, + "step": 3398 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019316962894926914, + "loss": 0.9175, + "step": 3399 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019316563221438338, + "loss": 1.0453, + "step": 3400 + }, + { + "epoch": 0.12, + "eval_loss": 1.0716861486434937, + "eval_runtime": 853.5879, + "eval_samples_per_second": 28.187, + "eval_steps_per_second": 14.093, + "step": 3400 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019316163435188291, + "loss": 1.1467, + "step": 3401 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001931576353618161, + "loss": 1.0506, + "step": 3402 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019315363524423135, + "loss": 0.9897, + "step": 3403 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019314963399917715, + "loss": 0.9979, + "step": 3404 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001931456316267018, + "loss": 1.1712, + "step": 3405 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019314162812685383, + "loss": 1.1198, + "step": 3406 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001931376234996817, + "loss": 1.0017, + "step": 3407 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019313361774523385, + "loss": 1.0798, + "step": 3408 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019312961086355877, + "loss": 1.0917, + "step": 3409 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019312560285470495, + "loss": 1.0893, + "step": 3410 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019312159371872093, + "loss": 1.0983, + "step": 3411 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019311758345565516, + "loss": 1.0146, + "step": 3412 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019311357206555624, + "loss": 1.038, + "step": 3413 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019310955954847275, + "loss": 1.1594, + "step": 3414 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019310554590445315, + "loss": 1.0256, + "step": 3415 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019310153113354615, + "loss": 1.1076, + "step": 3416 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019309751523580024, + "loss": 0.9228, + "step": 3417 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019309349821126402, + "loss": 1.1514, + "step": 3418 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019308948005998622, + "loss": 0.9999, + "step": 3419 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019308546078201537, + "loss": 1.0922, + "step": 3420 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019308144037740016, + "loss": 1.1305, + "step": 3421 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019307741884618923, + "loss": 1.0648, + "step": 3422 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019307339618843122, + "loss": 1.089, + "step": 3423 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019306937240417494, + "loss": 1.0016, + "step": 3424 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019306534749346897, + "loss": 1.0433, + "step": 3425 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019306132145636206, + "loss": 1.1934, + "step": 3426 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019305729429290299, + "loss": 1.1799, + "step": 3427 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001930532660031404, + "loss": 1.1137, + "step": 3428 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019304923658712312, + "loss": 1.0996, + "step": 3429 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001930452060448999, + "loss": 0.986, + "step": 3430 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019304117437651957, + "loss": 0.9728, + "step": 3431 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019303714158203084, + "loss": 1.0176, + "step": 3432 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019303310766148255, + "loss": 0.9793, + "step": 3433 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019302907261492357, + "loss": 1.0731, + "step": 3434 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001930250364424027, + "loss": 0.9942, + "step": 3435 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019302099914396875, + "loss": 1.149, + "step": 3436 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019301696071967068, + "loss": 1.0811, + "step": 3437 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001930129211695573, + "loss": 1.0341, + "step": 3438 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001930088804936775, + "loss": 1.0554, + "step": 3439 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019300483869208023, + "loss": 1.0621, + "step": 3440 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019300079576481437, + "loss": 1.1503, + "step": 3441 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001929967517119289, + "loss": 1.0676, + "step": 3442 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019299270653347272, + "loss": 1.1235, + "step": 3443 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001929886602294948, + "loss": 1.0439, + "step": 3444 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001929846128000441, + "loss": 1.0261, + "step": 3445 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019298056424516964, + "loss": 1.0488, + "step": 3446 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001929765145649204, + "loss": 1.1577, + "step": 3447 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019297246375934543, + "loss": 1.0806, + "step": 3448 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001929684118284937, + "loss": 1.1822, + "step": 3449 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001929643587724143, + "loss": 1.1242, + "step": 3450 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019296030459115625, + "loss": 1.0035, + "step": 3451 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019295624928476865, + "loss": 0.9429, + "step": 3452 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019295219285330055, + "loss": 1.1046, + "step": 3453 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001929481352968011, + "loss": 1.0966, + "step": 3454 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019294407661531936, + "loss": 1.0636, + "step": 3455 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019294001680890443, + "loss": 0.9899, + "step": 3456 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001929359558776055, + "loss": 1.1226, + "step": 3457 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019293189382147175, + "loss": 1.0403, + "step": 3458 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019292783064055226, + "loss": 1.1344, + "step": 3459 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019292376633489627, + "loss": 1.0684, + "step": 3460 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019291970090455293, + "loss": 1.0704, + "step": 3461 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001929156343495715, + "loss": 1.1219, + "step": 3462 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001929115666700011, + "loss": 1.0733, + "step": 3463 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019290749786589112, + "loss": 1.035, + "step": 3464 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019290342793729063, + "loss": 1.0221, + "step": 3465 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019289935688424903, + "loss": 1.0735, + "step": 3466 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001928952847068155, + "loss": 1.1136, + "step": 3467 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019289121140503938, + "loss": 1.1234, + "step": 3468 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019288713697896993, + "loss": 1.1268, + "step": 3469 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019288306142865654, + "loss": 1.2428, + "step": 3470 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019287898475414843, + "loss": 1.0987, + "step": 3471 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019287490695549505, + "loss": 1.0408, + "step": 3472 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019287082803274566, + "loss": 0.8496, + "step": 3473 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001928667479859497, + "loss": 0.9686, + "step": 3474 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019286266681515647, + "loss": 0.9923, + "step": 3475 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019285858452041548, + "loss": 1.2527, + "step": 3476 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019285450110177602, + "loss": 0.9608, + "step": 3477 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001928504165592876, + "loss": 1.1205, + "step": 3478 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019284633089299965, + "loss": 0.9029, + "step": 3479 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001928422441029616, + "loss": 1.0265, + "step": 3480 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019283815618922288, + "loss": 1.082, + "step": 3481 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019283406715183302, + "loss": 1.141, + "step": 3482 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019282997699084147, + "loss": 0.9515, + "step": 3483 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019282588570629776, + "loss": 1.094, + "step": 3484 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019282179329825142, + "loss": 1.1793, + "step": 3485 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019281769976675192, + "loss": 1.0929, + "step": 3486 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001928136051118489, + "loss": 0.9976, + "step": 3487 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019280950933359183, + "loss": 1.0098, + "step": 3488 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019280541243203034, + "loss": 0.9926, + "step": 3489 + }, + { + "epoch": 0.12, + "learning_rate": 0.000192801314407214, + "loss": 1.0901, + "step": 3490 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019279721525919242, + "loss": 1.0639, + "step": 3491 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019279311498801514, + "loss": 1.2033, + "step": 3492 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019278901359373192, + "loss": 1.1765, + "step": 3493 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001927849110763923, + "loss": 0.9782, + "step": 3494 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019278080743604596, + "loss": 1.0982, + "step": 3495 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019277670267274258, + "loss": 1.0381, + "step": 3496 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001927725967865318, + "loss": 1.1775, + "step": 3497 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019276848977746339, + "loss": 1.0864, + "step": 3498 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019276438164558699, + "loss": 1.1548, + "step": 3499 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019276027239095234, + "loss": 1.0988, + "step": 3500 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001927561620136092, + "loss": 1.0612, + "step": 3501 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001927520505136073, + "loss": 1.1453, + "step": 3502 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001927479378909964, + "loss": 1.181, + "step": 3503 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019274382414582628, + "loss": 1.0555, + "step": 3504 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001927397092781467, + "loss": 1.028, + "step": 3505 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019273559328800754, + "loss": 1.1194, + "step": 3506 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019273147617545857, + "loss": 0.9524, + "step": 3507 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001927273579405496, + "loss": 1.0574, + "step": 3508 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001927232385833305, + "loss": 1.0124, + "step": 3509 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019271911810385116, + "loss": 1.0419, + "step": 3510 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019271499650216136, + "loss": 0.954, + "step": 3511 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019271087377831106, + "loss": 1.0101, + "step": 3512 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019270674993235017, + "loss": 1.0418, + "step": 3513 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019270262496432852, + "loss": 1.0996, + "step": 3514 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019269849887429614, + "loss": 1.1668, + "step": 3515 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001926943716623029, + "loss": 1.0286, + "step": 3516 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019269024332839874, + "loss": 1.1343, + "step": 3517 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001926861138726337, + "loss": 1.1964, + "step": 3518 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001926819832950577, + "loss": 1.1769, + "step": 3519 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001926778515957208, + "loss": 1.1694, + "step": 3520 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001926737187746729, + "loss": 1.1519, + "step": 3521 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001926695848319641, + "loss": 1.1607, + "step": 3522 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001926654497676444, + "loss": 1.0662, + "step": 3523 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019266131358176386, + "loss": 1.1091, + "step": 3524 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019265717627437254, + "loss": 1.1525, + "step": 3525 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019265303784552054, + "loss": 1.0758, + "step": 3526 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001926488982952579, + "loss": 1.1325, + "step": 3527 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001926447576236348, + "loss": 1.116, + "step": 3528 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019264061583070127, + "loss": 1.1746, + "step": 3529 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019263647291650746, + "loss": 1.011, + "step": 3530 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019263232888110357, + "loss": 1.1648, + "step": 3531 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001926281837245397, + "loss": 1.203, + "step": 3532 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019262403744686602, + "loss": 1.0162, + "step": 3533 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019261989004813274, + "loss": 0.9895, + "step": 3534 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019261574152839005, + "loss": 1.0592, + "step": 3535 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019261159188768817, + "loss": 1.0211, + "step": 3536 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019260744112607728, + "loss": 1.0954, + "step": 3537 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019260328924360767, + "loss": 1.048, + "step": 3538 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019259913624032957, + "loss": 1.122, + "step": 3539 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019259498211629325, + "loss": 0.9357, + "step": 3540 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019259082687154896, + "loss": 1.1351, + "step": 3541 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019258667050614704, + "loss": 1.2462, + "step": 3542 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001925825130201378, + "loss": 1.0325, + "step": 3543 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001925783544135715, + "loss": 1.1324, + "step": 3544 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019257419468649852, + "loss": 1.1316, + "step": 3545 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019257003383896918, + "loss": 1.108, + "step": 3546 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019256587187103385, + "loss": 1.0851, + "step": 3547 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019256170878274292, + "loss": 1.15, + "step": 3548 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019255754457414676, + "loss": 1.0791, + "step": 3549 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019255337924529577, + "loss": 1.0511, + "step": 3550 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019254921279624038, + "loss": 0.9547, + "step": 3551 + }, + { + "epoch": 0.12, + "learning_rate": 0.000192545045227031, + "loss": 0.9466, + "step": 3552 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019254087653771808, + "loss": 1.0698, + "step": 3553 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019253670672835207, + "loss": 1.0563, + "step": 3554 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019253253579898342, + "loss": 0.9909, + "step": 3555 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019252836374966268, + "loss": 0.965, + "step": 3556 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019252419058044028, + "loss": 1.0673, + "step": 3557 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019252001629136673, + "loss": 1.0956, + "step": 3558 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001925158408824926, + "loss": 0.9443, + "step": 3559 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001925116643538684, + "loss": 1.0702, + "step": 3560 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019250748670554465, + "loss": 1.0875, + "step": 3561 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019250330793757196, + "loss": 1.1252, + "step": 3562 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001924991280500009, + "loss": 1.1798, + "step": 3563 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019249494704288203, + "loss": 0.9046, + "step": 3564 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019249076491626598, + "loss": 0.9977, + "step": 3565 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019248658167020336, + "loss": 1.0716, + "step": 3566 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001924823973047448, + "loss": 0.9208, + "step": 3567 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019247821181994095, + "loss": 1.0207, + "step": 3568 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019247402521584248, + "loss": 0.9459, + "step": 3569 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019246983749250004, + "loss": 1.017, + "step": 3570 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019246564864996432, + "loss": 1.0529, + "step": 3571 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019246145868828597, + "loss": 1.0225, + "step": 3572 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001924572676075158, + "loss": 1.0144, + "step": 3573 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019245307540770453, + "loss": 1.0438, + "step": 3574 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019244888208890283, + "loss": 0.9887, + "step": 3575 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019244468765116147, + "loss": 0.9543, + "step": 3576 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019244049209453121, + "loss": 1.1155, + "step": 3577 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019243629541906287, + "loss": 1.0581, + "step": 3578 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019243209762480725, + "loss": 1.0451, + "step": 3579 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001924278987118151, + "loss": 1.1545, + "step": 3580 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001924236986801373, + "loss": 1.0211, + "step": 3581 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019241949752982462, + "loss": 1.0969, + "step": 3582 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019241529526092796, + "loss": 0.9938, + "step": 3583 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019241109187349817, + "loss": 1.1423, + "step": 3584 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019240688736758612, + "loss": 1.1605, + "step": 3585 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001924026817432427, + "loss": 1.0947, + "step": 3586 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001923984750005188, + "loss": 0.9577, + "step": 3587 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019239426713946536, + "loss": 0.9852, + "step": 3588 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019239005816013328, + "loss": 1.07, + "step": 3589 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019238584806257353, + "loss": 1.0771, + "step": 3590 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019238163684683705, + "loss": 1.0588, + "step": 3591 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019237742451297483, + "loss": 0.9481, + "step": 3592 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019237321106103784, + "loss": 1.0367, + "step": 3593 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019236899649107704, + "loss": 0.9339, + "step": 3594 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001923647808031435, + "loss": 1.0085, + "step": 3595 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019236056399728822, + "loss": 1.2252, + "step": 3596 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019235634607356222, + "loss": 1.06, + "step": 3597 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001923521270320166, + "loss": 0.9961, + "step": 3598 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019234790687270236, + "loss": 0.9829, + "step": 3599 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019234368559567063, + "loss": 0.9332, + "step": 3600 + }, + { + "epoch": 0.13, + "eval_loss": 1.0462063550949097, + "eval_runtime": 846.6254, + "eval_samples_per_second": 28.419, + "eval_steps_per_second": 14.209, + "step": 3600 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019233946320097248, + "loss": 1.0344, + "step": 3601 + }, + { + "epoch": 0.13, + "learning_rate": 0.000192335239688659, + "loss": 0.974, + "step": 3602 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019233101505878133, + "loss": 1.0219, + "step": 3603 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001923267893113906, + "loss": 1.0631, + "step": 3604 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019232256244653794, + "loss": 1.1274, + "step": 3605 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019231833446427455, + "loss": 1.0497, + "step": 3606 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019231410536465156, + "loss": 0.9779, + "step": 3607 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019230987514772015, + "loss": 1.0902, + "step": 3608 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019230564381353155, + "loss": 0.8773, + "step": 3609 + }, + { + "epoch": 0.13, + "learning_rate": 0.000192301411362137, + "loss": 1.0416, + "step": 3610 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019229717779358765, + "loss": 1.0082, + "step": 3611 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001922929431079348, + "loss": 1.0015, + "step": 3612 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019228870730522967, + "loss": 1.0325, + "step": 3613 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019228447038552356, + "loss": 0.9132, + "step": 3614 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001922802323488677, + "loss": 1.1197, + "step": 3615 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019227599319531345, + "loss": 1.0374, + "step": 3616 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019227175292491208, + "loss": 1.0379, + "step": 3617 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019226751153771492, + "loss": 1.1421, + "step": 3618 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019226326903377329, + "loss": 0.9614, + "step": 3619 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019225902541313854, + "loss": 1.0584, + "step": 3620 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019225478067586206, + "loss": 1.2806, + "step": 3621 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001922505348219952, + "loss": 1.2382, + "step": 3622 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019224628785158935, + "loss": 1.093, + "step": 3623 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019224203976469592, + "loss": 1.2161, + "step": 3624 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019223779056136634, + "loss": 0.9348, + "step": 3625 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019223354024165202, + "loss": 0.9119, + "step": 3626 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001922292888056044, + "loss": 1.0229, + "step": 3627 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019222503625327496, + "loss": 0.957, + "step": 3628 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019222078258471513, + "loss": 1.0542, + "step": 3629 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019221652779997643, + "loss": 0.9397, + "step": 3630 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019221227189911033, + "loss": 0.9356, + "step": 3631 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001922080148821684, + "loss": 1.0189, + "step": 3632 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019220375674920207, + "loss": 0.9661, + "step": 3633 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001921994975002629, + "loss": 1.029, + "step": 3634 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019219523713540255, + "loss": 0.9846, + "step": 3635 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019219097565467244, + "loss": 1.0429, + "step": 3636 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019218671305812424, + "loss": 0.9622, + "step": 3637 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001921824493458095, + "loss": 1.1022, + "step": 3638 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019217818451777984, + "loss": 1.0574, + "step": 3639 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019217391857408688, + "loss": 0.9119, + "step": 3640 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019216965151478226, + "loss": 0.9637, + "step": 3641 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019216538333991762, + "loss": 1.1038, + "step": 3642 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019216111404954457, + "loss": 1.0068, + "step": 3643 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019215684364371486, + "loss": 1.0384, + "step": 3644 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019215257212248013, + "loss": 0.8676, + "step": 3645 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001921482994858921, + "loss": 1.063, + "step": 3646 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019214402573400246, + "loss": 1.1603, + "step": 3647 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019213975086686293, + "loss": 1.1397, + "step": 3648 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001921354748845253, + "loss": 1.0761, + "step": 3649 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019213119778704128, + "loss": 1.0122, + "step": 3650 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001921269195744627, + "loss": 1.065, + "step": 3651 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019212264024684125, + "loss": 1.0969, + "step": 3652 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019211835980422878, + "loss": 1.1283, + "step": 3653 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019211407824667708, + "loss": 1.0622, + "step": 3654 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019210979557423796, + "loss": 1.0647, + "step": 3655 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001921055117869633, + "loss": 1.1335, + "step": 3656 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001921012268849049, + "loss": 1.0467, + "step": 3657 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019209694086811465, + "loss": 1.015, + "step": 3658 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001920926537366444, + "loss": 1.1146, + "step": 3659 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019208836549054604, + "loss": 0.945, + "step": 3660 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019208407612987153, + "loss": 0.9834, + "step": 3661 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019207978565467272, + "loss": 0.9372, + "step": 3662 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019207549406500155, + "loss": 0.9405, + "step": 3663 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019207120136091, + "loss": 1.0224, + "step": 3664 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019206690754244998, + "loss": 1.0592, + "step": 3665 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019206261260967347, + "loss": 0.9802, + "step": 3666 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019205831656263247, + "loss": 1.1358, + "step": 3667 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019205401940137898, + "loss": 1.0785, + "step": 3668 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019204972112596498, + "loss": 0.9726, + "step": 3669 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019204542173644252, + "loss": 0.941, + "step": 3670 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019204112123286362, + "loss": 1.2271, + "step": 3671 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019203681961528032, + "loss": 1.0313, + "step": 3672 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019203251688374473, + "loss": 1.0052, + "step": 3673 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001920282130383089, + "loss": 0.886, + "step": 3674 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019202390807902494, + "loss": 0.99, + "step": 3675 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001920196020059449, + "loss": 0.8889, + "step": 3676 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019201529481912096, + "loss": 1.076, + "step": 3677 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001920109865186052, + "loss": 1.0522, + "step": 3678 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019200667710444978, + "loss": 1.1085, + "step": 3679 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001920023665767069, + "loss": 0.9024, + "step": 3680 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019199805493542868, + "loss": 1.0001, + "step": 3681 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019199374218066732, + "loss": 1.0279, + "step": 3682 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019198942831247505, + "loss": 1.1763, + "step": 3683 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019198511333090403, + "loss": 1.1354, + "step": 3684 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019198079723600653, + "loss": 1.082, + "step": 3685 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019197648002783474, + "loss": 1.0873, + "step": 3686 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019197216170644096, + "loss": 0.9289, + "step": 3687 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019196784227187746, + "loss": 0.9368, + "step": 3688 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019196352172419647, + "loss": 0.9993, + "step": 3689 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019195920006345033, + "loss": 1.1853, + "step": 3690 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019195487728969132, + "loss": 0.9467, + "step": 3691 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019195055340297175, + "loss": 0.9649, + "step": 3692 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019194622840334398, + "loss": 1.0438, + "step": 3693 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019194190229086035, + "loss": 1.0719, + "step": 3694 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019193757506557325, + "loss": 1.0849, + "step": 3695 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019193324672753498, + "loss": 1.1921, + "step": 3696 + }, + { + "epoch": 0.13, + "learning_rate": 0.000191928917276798, + "loss": 0.981, + "step": 3697 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019192458671341464, + "loss": 0.9351, + "step": 3698 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001919202550374374, + "loss": 1.0307, + "step": 3699 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019191592224891864, + "loss": 1.0681, + "step": 3700 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019191158834791082, + "loss": 0.9062, + "step": 3701 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001919072533344664, + "loss": 1.0028, + "step": 3702 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019190291720863788, + "loss": 0.9841, + "step": 3703 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019189857997047767, + "loss": 1.0437, + "step": 3704 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001918942416200383, + "loss": 1.1022, + "step": 3705 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001918899021573723, + "loss": 1.0232, + "step": 3706 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019188556158253217, + "loss": 1.1263, + "step": 3707 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019188121989557045, + "loss": 1.0155, + "step": 3708 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001918768770965397, + "loss": 1.0305, + "step": 3709 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019187253318549244, + "loss": 1.1253, + "step": 3710 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001918681881624813, + "loss": 0.9073, + "step": 3711 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019186384202755883, + "loss": 1.166, + "step": 3712 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019185949478077764, + "loss": 1.0675, + "step": 3713 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019185514642219037, + "loss": 0.9438, + "step": 3714 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019185079695184962, + "loss": 1.0524, + "step": 3715 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019184644636980805, + "loss": 0.9474, + "step": 3716 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019184209467611836, + "loss": 1.143, + "step": 3717 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019183774187083312, + "loss": 0.9973, + "step": 3718 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019183338795400508, + "loss": 1.0385, + "step": 3719 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001918290329256869, + "loss": 1.0118, + "step": 3720 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019182467678593136, + "loss": 1.0423, + "step": 3721 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019182031953479114, + "loss": 1.0451, + "step": 3722 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019181596117231892, + "loss": 1.136, + "step": 3723 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019181160169856755, + "loss": 1.065, + "step": 3724 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019180724111358973, + "loss": 1.0437, + "step": 3725 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001918028794174383, + "loss": 1.0328, + "step": 3726 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019179851661016594, + "loss": 1.0492, + "step": 3727 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019179415269182556, + "loss": 1.0187, + "step": 3728 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019178978766246996, + "loss": 1.1842, + "step": 3729 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019178542152215193, + "loss": 0.988, + "step": 3730 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019178105427092434, + "loss": 1.0271, + "step": 3731 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019177668590884004, + "loss": 0.9069, + "step": 3732 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001917723164359519, + "loss": 1.0589, + "step": 3733 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019176794585231286, + "loss": 1.0319, + "step": 3734 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019176357415797573, + "loss": 1.1033, + "step": 3735 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019175920135299345, + "loss": 1.1298, + "step": 3736 + }, + { + "epoch": 0.13, + "learning_rate": 0.000191754827437419, + "loss": 1.0026, + "step": 3737 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019175045241130525, + "loss": 0.9862, + "step": 3738 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001917460762747052, + "loss": 1.1468, + "step": 3739 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019174169902767179, + "loss": 0.8989, + "step": 3740 + }, + { + "epoch": 0.13, + "learning_rate": 0.000191737320670258, + "loss": 0.9588, + "step": 3741 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019173294120251682, + "loss": 0.8869, + "step": 3742 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019172856062450125, + "loss": 0.9236, + "step": 3743 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019172417893626435, + "loss": 1.0753, + "step": 3744 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019171979613785914, + "loss": 1.0891, + "step": 3745 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019171541222933863, + "loss": 0.8487, + "step": 3746 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001917110272107559, + "loss": 1.0694, + "step": 3747 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019170664108216406, + "loss": 0.9686, + "step": 3748 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019170225384361613, + "loss": 0.9249, + "step": 3749 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019169786549516523, + "loss": 1.138, + "step": 3750 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019169347603686455, + "loss": 1.0633, + "step": 3751 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001916890854687671, + "loss": 1.0122, + "step": 3752 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001916846937909261, + "loss": 1.0612, + "step": 3753 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019168030100339463, + "loss": 1.0863, + "step": 3754 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019167590710622597, + "loss": 1.1437, + "step": 3755 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001916715120994732, + "loss": 0.9529, + "step": 3756 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019166711598318957, + "loss": 0.9574, + "step": 3757 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019166271875742825, + "loss": 1.0919, + "step": 3758 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001916583204222425, + "loss": 0.998, + "step": 3759 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019165392097768554, + "loss": 1.2614, + "step": 3760 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019164952042381058, + "loss": 1.0893, + "step": 3761 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019164511876067092, + "loss": 0.9897, + "step": 3762 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019164071598831988, + "loss": 1.0783, + "step": 3763 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019163631210681063, + "loss": 1.0338, + "step": 3764 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019163190711619658, + "loss": 1.1914, + "step": 3765 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019162750101653098, + "loss": 1.0637, + "step": 3766 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001916230938078672, + "loss": 1.0014, + "step": 3767 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019161868549025853, + "loss": 1.0992, + "step": 3768 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019161427606375839, + "loss": 1.0297, + "step": 3769 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019160986552842012, + "loss": 0.9527, + "step": 3770 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019160545388429708, + "loss": 1.0691, + "step": 3771 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019160104113144272, + "loss": 1.0516, + "step": 3772 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001915966272699104, + "loss": 1.0687, + "step": 3773 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019159221229975355, + "loss": 1.1103, + "step": 3774 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019158779622102562, + "loss": 1.1914, + "step": 3775 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019158337903378003, + "loss": 1.0514, + "step": 3776 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001915789607380703, + "loss": 0.9703, + "step": 3777 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019157454133394985, + "loss": 0.9798, + "step": 3778 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001915701208214722, + "loss": 0.9659, + "step": 3779 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001915656992006908, + "loss": 1.1045, + "step": 3780 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019156127647165926, + "loss": 1.1718, + "step": 3781 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019155685263443103, + "loss": 0.9483, + "step": 3782 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019155242768905973, + "loss": 1.1009, + "step": 3783 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019154800163559882, + "loss": 1.146, + "step": 3784 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019154357447410196, + "loss": 1.0493, + "step": 3785 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019153914620462266, + "loss": 0.9993, + "step": 3786 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019153471682721454, + "loss": 0.8781, + "step": 3787 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019153028634193126, + "loss": 0.9832, + "step": 3788 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019152585474882638, + "loss": 1.0902, + "step": 3789 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019152142204795358, + "loss": 1.1147, + "step": 3790 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019151698823936645, + "loss": 1.1492, + "step": 3791 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019151255332311876, + "loss": 1.1733, + "step": 3792 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019150811729926406, + "loss": 1.0254, + "step": 3793 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001915036801678561, + "loss": 0.957, + "step": 3794 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019149924192894867, + "loss": 1.0986, + "step": 3795 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019149480258259533, + "loss": 1.0345, + "step": 3796 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001914903621288499, + "loss": 0.9731, + "step": 3797 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019148592056776611, + "loss": 1.0944, + "step": 3798 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019148147789939773, + "loss": 0.9847, + "step": 3799 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001914770341237985, + "loss": 1.1569, + "step": 3800 + }, + { + "epoch": 0.13, + "eval_loss": 1.0284124612808228, + "eval_runtime": 844.6709, + "eval_samples_per_second": 28.484, + "eval_steps_per_second": 14.242, + "step": 3800 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019147258924102225, + "loss": 1.0692, + "step": 3801 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019146814325112272, + "loss": 1.1191, + "step": 3802 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019146369615415375, + "loss": 0.9268, + "step": 3803 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001914592479501692, + "loss": 1.0052, + "step": 3804 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019145479863922287, + "loss": 0.9974, + "step": 3805 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001914503482213686, + "loss": 1.1277, + "step": 3806 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019144589669666028, + "loss": 0.9946, + "step": 3807 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019144144406515174, + "loss": 1.0722, + "step": 3808 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019143699032689697, + "loss": 1.122, + "step": 3809 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001914325354819498, + "loss": 1.0779, + "step": 3810 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019142807953036414, + "loss": 1.0159, + "step": 3811 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019142362247219396, + "loss": 1.0387, + "step": 3812 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001914191643074932, + "loss": 0.9668, + "step": 3813 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001914147050363158, + "loss": 0.979, + "step": 3814 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019141024465871577, + "loss": 1.2342, + "step": 3815 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019140578317474705, + "loss": 0.9985, + "step": 3816 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019140132058446366, + "loss": 0.9996, + "step": 3817 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001913968568879196, + "loss": 0.908, + "step": 3818 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001913923920851689, + "loss": 1.254, + "step": 3819 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019138792617626562, + "loss": 1.0811, + "step": 3820 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019138345916126377, + "loss": 1.0658, + "step": 3821 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019137899104021747, + "loss": 1.0617, + "step": 3822 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019137452181318076, + "loss": 1.0065, + "step": 3823 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019137005148020774, + "loss": 1.0117, + "step": 3824 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019136558004135252, + "loss": 0.8707, + "step": 3825 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019136110749666925, + "loss": 0.9782, + "step": 3826 + }, + { + "epoch": 0.13, + "learning_rate": 0.000191356633846212, + "loss": 0.9121, + "step": 3827 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019135215909003495, + "loss": 1.0509, + "step": 3828 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019134768322819225, + "loss": 0.9673, + "step": 3829 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001913432062607381, + "loss": 1.008, + "step": 3830 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019133872818772666, + "loss": 1.1044, + "step": 3831 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019133424900921213, + "loss": 0.8671, + "step": 3832 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019132976872524872, + "loss": 1.046, + "step": 3833 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001913252873358907, + "loss": 0.8531, + "step": 3834 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019132080484119223, + "loss": 0.9255, + "step": 3835 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019131632124120765, + "loss": 1.0342, + "step": 3836 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019131183653599117, + "loss": 0.9437, + "step": 3837 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019130735072559707, + "loss": 1.0382, + "step": 3838 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019130286381007964, + "loss": 0.9301, + "step": 3839 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019129837578949323, + "loss": 0.9509, + "step": 3840 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019129388666389217, + "loss": 0.9743, + "step": 3841 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001912893964333307, + "loss": 0.9347, + "step": 3842 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019128490509786326, + "loss": 0.9321, + "step": 3843 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019128041265754417, + "loss": 1.003, + "step": 3844 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001912759191124278, + "loss": 0.9689, + "step": 3845 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019127142446256855, + "loss": 1.1861, + "step": 3846 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001912669287080208, + "loss": 1.054, + "step": 3847 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019126243184883898, + "loss": 0.8804, + "step": 3848 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019125793388507752, + "loss": 0.9738, + "step": 3849 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019125343481679087, + "loss": 1.0167, + "step": 3850 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019124893464403346, + "loss": 0.9549, + "step": 3851 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001912444333668598, + "loss": 1.0799, + "step": 3852 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001912399309853243, + "loss": 0.9105, + "step": 3853 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019123542749948147, + "loss": 1.0237, + "step": 3854 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019123092290938587, + "loss": 1.0471, + "step": 3855 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019122641721509197, + "loss": 1.0597, + "step": 3856 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019122191041665436, + "loss": 0.9414, + "step": 3857 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001912174025141275, + "loss": 1.0573, + "step": 3858 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019121289350756607, + "loss": 1.1582, + "step": 3859 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019120838339702453, + "loss": 0.8603, + "step": 3860 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019120387218255752, + "loss": 1.0839, + "step": 3861 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001911993598642196, + "loss": 1.1865, + "step": 3862 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019119484644206547, + "loss": 0.9953, + "step": 3863 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019119033191614967, + "loss": 0.9777, + "step": 3864 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001911858162865269, + "loss": 0.9597, + "step": 3865 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019118129955325176, + "loss": 1.0399, + "step": 3866 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019117678171637898, + "loss": 1.0074, + "step": 3867 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019117226277596319, + "loss": 1.0126, + "step": 3868 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001911677427320591, + "loss": 1.0872, + "step": 3869 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019116322158472144, + "loss": 1.0233, + "step": 3870 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019115869933400488, + "loss": 1.0739, + "step": 3871 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001911541759799642, + "loss": 0.8729, + "step": 3872 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019114965152265413, + "loss": 1.1225, + "step": 3873 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019114512596212944, + "loss": 1.0517, + "step": 3874 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019114059929844487, + "loss": 1.1168, + "step": 3875 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019113607153165528, + "loss": 0.9634, + "step": 3876 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019113154266181542, + "loss": 0.9531, + "step": 3877 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001911270126889801, + "loss": 0.9806, + "step": 3878 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019112248161320413, + "loss": 1.074, + "step": 3879 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019111794943454244, + "loss": 0.9431, + "step": 3880 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001911134161530498, + "loss": 1.1319, + "step": 3881 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019110888176878107, + "loss": 1.1149, + "step": 3882 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019110434628179118, + "loss": 1.0296, + "step": 3883 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019109980969213503, + "loss": 0.9882, + "step": 3884 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001910952719998675, + "loss": 0.9413, + "step": 3885 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019109073320504352, + "loss": 1.0402, + "step": 3886 + }, + { + "epoch": 0.14, + "learning_rate": 0.000191086193307718, + "loss": 1.1124, + "step": 3887 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001910816523079459, + "loss": 1.0121, + "step": 3888 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019107711020578222, + "loss": 0.9588, + "step": 3889 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019107256700128192, + "loss": 0.9018, + "step": 3890 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019106802269449995, + "loss": 1.0994, + "step": 3891 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019106347728549135, + "loss": 0.9928, + "step": 3892 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019105893077431109, + "loss": 1.0894, + "step": 3893 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019105438316101422, + "loss": 1.0351, + "step": 3894 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019104983444565582, + "loss": 1.004, + "step": 3895 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001910452846282909, + "loss": 1.0875, + "step": 3896 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019104073370897459, + "loss": 1.0228, + "step": 3897 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019103618168776185, + "loss": 0.9486, + "step": 3898 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019103162856470789, + "loss": 1.0668, + "step": 3899 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019102707433986776, + "loss": 1.1191, + "step": 3900 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019102251901329656, + "loss": 0.8782, + "step": 3901 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019101796258504951, + "loss": 1.0519, + "step": 3902 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001910134050551817, + "loss": 0.8821, + "step": 3903 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001910088464237483, + "loss": 0.8848, + "step": 3904 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019100428669080447, + "loss": 0.9808, + "step": 3905 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019099972585640544, + "loss": 0.9899, + "step": 3906 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019099516392060637, + "loss": 1.0979, + "step": 3907 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019099060088346247, + "loss": 1.1008, + "step": 3908 + }, + { + "epoch": 0.14, + "learning_rate": 0.000190986036745029, + "loss": 0.9751, + "step": 3909 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001909814715053612, + "loss": 0.9166, + "step": 3910 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019097690516451431, + "loss": 0.8834, + "step": 3911 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001909723377225436, + "loss": 0.9766, + "step": 3912 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019096776917950435, + "loss": 1.2002, + "step": 3913 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019096319953545185, + "loss": 0.9769, + "step": 3914 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019095862879044142, + "loss": 0.9617, + "step": 3915 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019095405694452837, + "loss": 1.0476, + "step": 3916 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019094948399776804, + "loss": 1.1321, + "step": 3917 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019094490995021576, + "loss": 0.9789, + "step": 3918 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019094033480192697, + "loss": 1.0187, + "step": 3919 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019093575855295693, + "loss": 0.9151, + "step": 3920 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019093118120336108, + "loss": 1.0211, + "step": 3921 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019092660275319486, + "loss": 1.061, + "step": 3922 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001909220232025136, + "loss": 0.989, + "step": 3923 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019091744255137283, + "loss": 1.0248, + "step": 3924 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019091286079982788, + "loss": 0.9934, + "step": 3925 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001909082779479343, + "loss": 1.0908, + "step": 3926 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001909036939957475, + "loss": 0.9434, + "step": 3927 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019089910894332302, + "loss": 0.929, + "step": 3928 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019089452279071628, + "loss": 1.0731, + "step": 3929 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019088993553798282, + "loss": 0.9836, + "step": 3930 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019088534718517813, + "loss": 1.1103, + "step": 3931 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019088075773235783, + "loss": 1.0644, + "step": 3932 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001908761671795774, + "loss": 1.0564, + "step": 3933 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019087157552689243, + "loss": 1.0663, + "step": 3934 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019086698277435846, + "loss": 0.9552, + "step": 3935 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001908623889220311, + "loss": 1.0949, + "step": 3936 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019085779396996595, + "loss": 1.1169, + "step": 3937 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019085319791821862, + "loss": 1.0862, + "step": 3938 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019084860076684477, + "loss": 0.9381, + "step": 3939 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019084400251589997, + "loss": 1.0678, + "step": 3940 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019083940316543994, + "loss": 1.0736, + "step": 3941 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019083480271552032, + "loss": 0.8937, + "step": 3942 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019083020116619678, + "loss": 1.1058, + "step": 3943 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019082559851752503, + "loss": 1.0089, + "step": 3944 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001908209947695608, + "loss": 0.9709, + "step": 3945 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019081638992235974, + "loss": 1.0073, + "step": 3946 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019081178397597768, + "loss": 0.9122, + "step": 3947 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019080717693047028, + "loss": 1.0871, + "step": 3948 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019080256878589336, + "loss": 1.0064, + "step": 3949 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019079795954230267, + "loss": 0.9618, + "step": 3950 + }, + { + "epoch": 0.14, + "learning_rate": 0.000190793349199754, + "loss": 1.2609, + "step": 3951 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019078873775830313, + "loss": 1.0517, + "step": 3952 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001907841252180059, + "loss": 1.0045, + "step": 3953 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019077951157891817, + "loss": 1.0031, + "step": 3954 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019077489684109572, + "loss": 0.9489, + "step": 3955 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019077028100459437, + "loss": 0.9885, + "step": 3956 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019076566406947012, + "loss": 1.1361, + "step": 3957 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019076104603577872, + "loss": 1.0526, + "step": 3958 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019075642690357614, + "loss": 1.0916, + "step": 3959 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019075180667291826, + "loss": 0.9713, + "step": 3960 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019074718534386098, + "loss": 1.0537, + "step": 3961 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019074256291646028, + "loss": 0.9735, + "step": 3962 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019073793939077208, + "loss": 0.8726, + "step": 3963 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019073331476685234, + "loss": 0.9387, + "step": 3964 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019072868904475705, + "loss": 0.9787, + "step": 3965 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019072406222454217, + "loss": 0.9895, + "step": 3966 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019071943430626372, + "loss": 1.0434, + "step": 3967 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001907148052899777, + "loss": 1.222, + "step": 3968 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019071017517574012, + "loss": 0.9867, + "step": 3969 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019070554396360707, + "loss": 1.1127, + "step": 3970 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019070091165363458, + "loss": 0.9163, + "step": 3971 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019069627824587867, + "loss": 0.9801, + "step": 3972 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001906916437403955, + "loss": 1.0048, + "step": 3973 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001906870081372411, + "loss": 1.1581, + "step": 3974 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019068237143647166, + "loss": 1.0176, + "step": 3975 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001906777336381432, + "loss": 0.9728, + "step": 3976 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019067309474231188, + "loss": 1.1814, + "step": 3977 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019066845474903388, + "loss": 0.8797, + "step": 3978 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019066381365836533, + "loss": 0.9827, + "step": 3979 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001906591714703624, + "loss": 0.9732, + "step": 3980 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019065452818508132, + "loss": 1.0577, + "step": 3981 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019064988380257822, + "loss": 0.9607, + "step": 3982 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019064523832290937, + "loss": 1.1409, + "step": 3983 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019064059174613097, + "loss": 1.0741, + "step": 3984 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019063594407229927, + "loss": 1.174, + "step": 3985 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019063129530147053, + "loss": 0.9464, + "step": 3986 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019062664543370098, + "loss": 0.9867, + "step": 3987 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001906219944690469, + "loss": 0.915, + "step": 3988 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019061734240756464, + "loss": 0.9442, + "step": 3989 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019061268924931043, + "loss": 0.9718, + "step": 3990 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019060803499434067, + "loss": 0.9064, + "step": 3991 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019060337964271165, + "loss": 1.0964, + "step": 3992 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001905987231944797, + "loss": 1.1744, + "step": 3993 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019059406564970118, + "loss": 1.1332, + "step": 3994 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019058940700843248, + "loss": 0.9942, + "step": 3995 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019058474727072996, + "loss": 1.1864, + "step": 3996 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019058008643665008, + "loss": 0.9033, + "step": 3997 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001905754245062492, + "loss": 0.9648, + "step": 3998 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019057076147958375, + "loss": 1.0346, + "step": 3999 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019056609735671018, + "loss": 1.146, + "step": 4000 + }, + { + "epoch": 0.14, + "eval_loss": 1.0092287063598633, + "eval_runtime": 849.6129, + "eval_samples_per_second": 28.319, + "eval_steps_per_second": 14.159, + "step": 4000 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001905614321376849, + "loss": 1.0128, + "step": 4001 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019055676582256444, + "loss": 1.0876, + "step": 4002 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019055209841140525, + "loss": 1.0209, + "step": 4003 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019054742990426383, + "loss": 0.9088, + "step": 4004 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019054276030119663, + "loss": 0.937, + "step": 4005 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019053808960226023, + "loss": 1.0074, + "step": 4006 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019053341780751116, + "loss": 0.9237, + "step": 4007 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019052874491700593, + "loss": 0.921, + "step": 4008 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001905240709308011, + "loss": 0.9931, + "step": 4009 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019051939584895328, + "loss": 0.8661, + "step": 4010 + }, + { + "epoch": 0.14, + "learning_rate": 0.000190514719671519, + "loss": 0.9725, + "step": 4011 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001905100423985549, + "loss": 0.9658, + "step": 4012 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001905053640301176, + "loss": 0.9382, + "step": 4013 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019050068456626367, + "loss": 1.05, + "step": 4014 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019049600400704978, + "loss": 0.928, + "step": 4015 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001904913223525326, + "loss": 0.9643, + "step": 4016 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019048663960276874, + "loss": 0.9391, + "step": 4017 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019048195575781493, + "loss": 1.1249, + "step": 4018 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019047727081772782, + "loss": 1.0511, + "step": 4019 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019047258478256413, + "loss": 1.0085, + "step": 4020 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001904678976523806, + "loss": 0.9143, + "step": 4021 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019046320942723392, + "loss": 0.8507, + "step": 4022 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001904585201071809, + "loss": 1.0112, + "step": 4023 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001904538296922782, + "loss": 1.1175, + "step": 4024 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019044913818258262, + "loss": 0.8132, + "step": 4025 + }, + { + "epoch": 0.14, + "learning_rate": 0.000190444445578151, + "loss": 0.9932, + "step": 4026 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019043975187904008, + "loss": 0.9078, + "step": 4027 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001904350570853067, + "loss": 0.9561, + "step": 4028 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019043036119700766, + "loss": 0.928, + "step": 4029 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001904256642141998, + "loss": 1.0588, + "step": 4030 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019042096613693996, + "loss": 1.0687, + "step": 4031 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019041626696528503, + "loss": 0.9369, + "step": 4032 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019041156669929188, + "loss": 1.0472, + "step": 4033 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019040686533901738, + "loss": 1.0708, + "step": 4034 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019040216288451845, + "loss": 1.1213, + "step": 4035 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019039745933585202, + "loss": 1.0089, + "step": 4036 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019039275469307494, + "loss": 0.8902, + "step": 4037 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019038804895624422, + "loss": 0.9091, + "step": 4038 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019038334212541683, + "loss": 1.041, + "step": 4039 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019037863420064973, + "loss": 1.1809, + "step": 4040 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019037392518199986, + "loss": 0.965, + "step": 4041 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019036921506952422, + "loss": 1.0663, + "step": 4042 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019036450386327984, + "loss": 1.2294, + "step": 4043 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019035979156332378, + "loss": 1.1152, + "step": 4044 + }, + { + "epoch": 0.14, + "learning_rate": 0.000190355078169713, + "loss": 1.0931, + "step": 4045 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001903503636825046, + "loss": 0.986, + "step": 4046 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019034564810175558, + "loss": 1.0883, + "step": 4047 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019034093142752308, + "loss": 1.0075, + "step": 4048 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019033621365986415, + "loss": 0.9116, + "step": 4049 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019033149479883593, + "loss": 1.0325, + "step": 4050 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019032677484449547, + "loss": 0.9356, + "step": 4051 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019032205379689997, + "loss": 1.0435, + "step": 4052 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019031733165610654, + "loss": 0.975, + "step": 4053 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019031260842217228, + "loss": 1.072, + "step": 4054 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019030788409515442, + "loss": 0.9761, + "step": 4055 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019030315867511017, + "loss": 1.0225, + "step": 4056 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019029843216209665, + "loss": 1.0785, + "step": 4057 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001902937045561711, + "loss": 0.8986, + "step": 4058 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019028897585739074, + "loss": 1.0376, + "step": 4059 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019028424606581278, + "loss": 0.9006, + "step": 4060 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019027951518149448, + "loss": 0.9989, + "step": 4061 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019027478320449314, + "loss": 0.9098, + "step": 4062 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019027005013486596, + "loss": 1.0252, + "step": 4063 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001902653159726703, + "loss": 1.027, + "step": 4064 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019026058071796337, + "loss": 1.0379, + "step": 4065 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001902558443708026, + "loss": 1.0254, + "step": 4066 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001902511069312452, + "loss": 0.9162, + "step": 4067 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019024636839934855, + "loss": 1.168, + "step": 4068 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019024162877517004, + "loss": 1.0539, + "step": 4069 + }, + { + "epoch": 0.14, + "learning_rate": 0.000190236888058767, + "loss": 1.1106, + "step": 4070 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001902321462501968, + "loss": 0.9683, + "step": 4071 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019022740334951688, + "loss": 0.7768, + "step": 4072 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001902226593567846, + "loss": 1.0579, + "step": 4073 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019021791427205738, + "loss": 1.1112, + "step": 4074 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019021316809539264, + "loss": 1.0454, + "step": 4075 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019020842082684788, + "loss": 1.0213, + "step": 4076 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019020367246648048, + "loss": 0.9152, + "step": 4077 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019019892301434802, + "loss": 0.9715, + "step": 4078 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019019417247050785, + "loss": 0.9433, + "step": 4079 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019018942083501758, + "loss": 1.0704, + "step": 4080 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019018466810793468, + "loss": 0.9485, + "step": 4081 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019017991428931663, + "loss": 0.9724, + "step": 4082 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019017515937922103, + "loss": 1.0827, + "step": 4083 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019017040337770543, + "loss": 1.1208, + "step": 4084 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001901656462848273, + "loss": 0.8624, + "step": 4085 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019016088810064433, + "loss": 0.9649, + "step": 4086 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001901561288252141, + "loss": 1.0864, + "step": 4087 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019015136845859415, + "loss": 1.2034, + "step": 4088 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001901466070008421, + "loss": 1.0551, + "step": 4089 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019014184445201565, + "loss": 0.9019, + "step": 4090 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019013708081217238, + "loss": 1.1146, + "step": 4091 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019013231608136996, + "loss": 0.9925, + "step": 4092 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001901275502596661, + "loss": 0.9437, + "step": 4093 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001901227833471184, + "loss": 0.9916, + "step": 4094 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019011801534378462, + "loss": 0.9644, + "step": 4095 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019011324624972244, + "loss": 1.1118, + "step": 4096 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001901084760649896, + "loss": 0.9111, + "step": 4097 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019010370478964383, + "loss": 0.9302, + "step": 4098 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019009893242374285, + "loss": 1.0585, + "step": 4099 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019009415896734447, + "loss": 1.0481, + "step": 4100 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019008938442050644, + "loss": 1.0457, + "step": 4101 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001900846087832866, + "loss": 1.0454, + "step": 4102 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019007983205574265, + "loss": 0.9182, + "step": 4103 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019007505423793245, + "loss": 0.901, + "step": 4104 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019007027532991384, + "loss": 1.041, + "step": 4105 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019006549533174465, + "loss": 1.0371, + "step": 4106 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019006071424348275, + "loss": 0.8508, + "step": 4107 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019005593206518597, + "loss": 1.0068, + "step": 4108 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019005114879691224, + "loss": 0.9752, + "step": 4109 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019004636443871944, + "loss": 0.9415, + "step": 4110 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019004157899066545, + "loss": 0.959, + "step": 4111 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001900367924528082, + "loss": 1.1121, + "step": 4112 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019003200482520564, + "loss": 0.9275, + "step": 4113 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001900272161079157, + "loss": 1.0844, + "step": 4114 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019002242630099633, + "loss": 0.9965, + "step": 4115 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019001763540450552, + "loss": 1.0158, + "step": 4116 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019001284341850125, + "loss": 1.0039, + "step": 4117 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019000805034304153, + "loss": 0.9078, + "step": 4118 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019000325617818438, + "loss": 0.9352, + "step": 4119 + }, + { + "epoch": 0.14, + "learning_rate": 0.00018999846092398779, + "loss": 0.8697, + "step": 4120 + }, + { + "epoch": 0.14, + "learning_rate": 0.00018999366458050983, + "loss": 1.0056, + "step": 4121 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001899888671478085, + "loss": 1.0566, + "step": 4122 + }, + { + "epoch": 0.14, + "learning_rate": 0.00018998406862594193, + "loss": 1.0999, + "step": 4123 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001899792690149682, + "loss": 1.0435, + "step": 4124 + }, + { + "epoch": 0.14, + "learning_rate": 0.00018997446831494534, + "loss": 0.9974, + "step": 4125 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001899696665259315, + "loss": 0.9922, + "step": 4126 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001899648636479848, + "loss": 1.0019, + "step": 4127 + }, + { + "epoch": 0.14, + "learning_rate": 0.00018996005968116334, + "loss": 0.9487, + "step": 4128 + }, + { + "epoch": 0.14, + "learning_rate": 0.00018995525462552526, + "loss": 1.069, + "step": 4129 + }, + { + "epoch": 0.14, + "learning_rate": 0.00018995044848112876, + "loss": 1.0885, + "step": 4130 + }, + { + "epoch": 0.14, + "learning_rate": 0.000189945641248032, + "loss": 0.9978, + "step": 4131 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001899408329262931, + "loss": 1.0339, + "step": 4132 + }, + { + "epoch": 0.14, + "learning_rate": 0.00018993602351597037, + "loss": 1.0339, + "step": 4133 + }, + { + "epoch": 0.14, + "learning_rate": 0.00018993121301712193, + "loss": 0.8591, + "step": 4134 + }, + { + "epoch": 0.14, + "learning_rate": 0.00018992640142980602, + "loss": 0.8985, + "step": 4135 + }, + { + "epoch": 0.14, + "learning_rate": 0.00018992158875408093, + "loss": 0.9628, + "step": 4136 + }, + { + "epoch": 0.14, + "learning_rate": 0.00018991677499000483, + "loss": 1.0842, + "step": 4137 + }, + { + "epoch": 0.14, + "learning_rate": 0.000189911960137636, + "loss": 0.9816, + "step": 4138 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001899071441970328, + "loss": 1.0378, + "step": 4139 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001899023271682534, + "loss": 1.0693, + "step": 4140 + }, + { + "epoch": 0.14, + "learning_rate": 0.00018989750905135618, + "loss": 1.0266, + "step": 4141 + }, + { + "epoch": 0.14, + "learning_rate": 0.00018989268984639942, + "loss": 1.0267, + "step": 4142 + }, + { + "epoch": 0.14, + "learning_rate": 0.00018988786955344148, + "loss": 1.0241, + "step": 4143 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018988304817254065, + "loss": 1.0087, + "step": 4144 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018987822570375534, + "loss": 1.016, + "step": 4145 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018987340214714392, + "loss": 0.9822, + "step": 4146 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001898685775027647, + "loss": 0.9831, + "step": 4147 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018986375177067614, + "loss": 0.9742, + "step": 4148 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018985892495093661, + "loss": 1.034, + "step": 4149 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018985409704360456, + "loss": 0.9638, + "step": 4150 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018984926804873842, + "loss": 0.9327, + "step": 4151 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018984443796639662, + "loss": 1.0087, + "step": 4152 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018983960679663762, + "loss": 0.9028, + "step": 4153 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018983477453951992, + "loss": 1.0778, + "step": 4154 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018982994119510197, + "loss": 1.0517, + "step": 4155 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001898251067634423, + "loss": 1.1624, + "step": 4156 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001898202712445994, + "loss": 1.0591, + "step": 4157 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018981543463863183, + "loss": 1.043, + "step": 4158 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001898105969455981, + "loss": 0.8838, + "step": 4159 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018980575816555673, + "loss": 0.971, + "step": 4160 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018980091829856637, + "loss": 0.9973, + "step": 4161 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018979607734468553, + "loss": 0.9556, + "step": 4162 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001897912353039728, + "loss": 1.0951, + "step": 4163 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018978639217648687, + "loss": 1.0012, + "step": 4164 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018978154796228625, + "loss": 1.0018, + "step": 4165 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018977670266142962, + "loss": 1.0277, + "step": 4166 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018977185627397562, + "loss": 1.014, + "step": 4167 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018976700879998293, + "loss": 1.0896, + "step": 4168 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001897621602395102, + "loss": 0.902, + "step": 4169 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018975731059261609, + "loss": 0.9249, + "step": 4170 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018975245985935931, + "loss": 1.14, + "step": 4171 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018974760803979862, + "loss": 1.1724, + "step": 4172 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018974275513399268, + "loss": 1.0717, + "step": 4173 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018973790114200028, + "loss": 1.1755, + "step": 4174 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001897330460638801, + "loss": 0.9043, + "step": 4175 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018972818989969095, + "loss": 0.9613, + "step": 4176 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001897233326494916, + "loss": 0.9201, + "step": 4177 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018971847431334084, + "loss": 0.994, + "step": 4178 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018971361489129748, + "loss": 1.0479, + "step": 4179 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001897087543834203, + "loss": 0.9257, + "step": 4180 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018970389278976816, + "loss": 0.9709, + "step": 4181 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018969903011039995, + "loss": 0.9386, + "step": 4182 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001896941663453744, + "loss": 1.1184, + "step": 4183 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018968930149475046, + "loss": 0.9727, + "step": 4184 + }, + { + "epoch": 0.15, + "learning_rate": 0.000189684435558587, + "loss": 1.079, + "step": 4185 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018967956853694292, + "loss": 0.9781, + "step": 4186 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001896747004298771, + "loss": 0.8908, + "step": 4187 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018966983123744848, + "loss": 0.8664, + "step": 4188 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018966496095971602, + "loss": 1.0718, + "step": 4189 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018966008959673864, + "loss": 0.9925, + "step": 4190 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018965521714857527, + "loss": 1.0588, + "step": 4191 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001896503436152849, + "loss": 0.9328, + "step": 4192 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018964546899692656, + "loss": 0.9915, + "step": 4193 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001896405932935592, + "loss": 0.9344, + "step": 4194 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018963571650524187, + "loss": 0.9727, + "step": 4195 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001896308386320335, + "loss": 0.8959, + "step": 4196 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001896259596739933, + "loss": 1.0883, + "step": 4197 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018962107963118018, + "loss": 1.0782, + "step": 4198 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018961619850365328, + "loss": 0.9819, + "step": 4199 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001896113162914716, + "loss": 1.0325, + "step": 4200 + }, + { + "epoch": 0.15, + "eval_loss": 0.9915627241134644, + "eval_runtime": 846.154, + "eval_samples_per_second": 28.435, + "eval_steps_per_second": 14.217, + "step": 4200 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018960643299469429, + "loss": 1.0247, + "step": 4201 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018960154861338046, + "loss": 1.02, + "step": 4202 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001895966631475892, + "loss": 1.0614, + "step": 4203 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018959177659737963, + "loss": 1.1039, + "step": 4204 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018958688896281097, + "loss": 0.9647, + "step": 4205 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018958200024394225, + "loss": 1.1061, + "step": 4206 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018957711044083277, + "loss": 1.0317, + "step": 4207 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001895722195535416, + "loss": 0.9838, + "step": 4208 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018956732758212803, + "loss": 0.9502, + "step": 4209 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001895624345266512, + "loss": 1.0479, + "step": 4210 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018955754038717037, + "loss": 0.9007, + "step": 4211 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018955264516374478, + "loss": 1.1046, + "step": 4212 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018954774885643368, + "loss": 1.0314, + "step": 4213 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018954285146529628, + "loss": 1.0543, + "step": 4214 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001895379529903919, + "loss": 0.9254, + "step": 4215 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001895330534317798, + "loss": 0.9072, + "step": 4216 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018952815278951932, + "loss": 0.9752, + "step": 4217 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018952325106366978, + "loss": 0.9867, + "step": 4218 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018951834825429043, + "loss": 1.1124, + "step": 4219 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001895134443614407, + "loss": 1.0068, + "step": 4220 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018950853938517987, + "loss": 0.8788, + "step": 4221 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018950363332556738, + "loss": 1.0237, + "step": 4222 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018949872618266253, + "loss": 1.0671, + "step": 4223 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001894938179565248, + "loss": 0.9232, + "step": 4224 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018948890864721351, + "loss": 0.9557, + "step": 4225 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018948399825478813, + "loss": 1.0874, + "step": 4226 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001894790867793081, + "loss": 0.9787, + "step": 4227 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001894741742208328, + "loss": 0.9442, + "step": 4228 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018946926057942178, + "loss": 1.0548, + "step": 4229 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018946434585513444, + "loss": 1.0203, + "step": 4230 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001894594300480303, + "loss": 0.9628, + "step": 4231 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018945451315816888, + "loss": 0.9662, + "step": 4232 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018944959518560957, + "loss": 1.0031, + "step": 4233 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018944467613041206, + "loss": 0.9358, + "step": 4234 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001894397559926358, + "loss": 1.0207, + "step": 4235 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018943483477234035, + "loss": 0.9795, + "step": 4236 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018942991246958526, + "loss": 0.9464, + "step": 4237 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001894249890844301, + "loss": 1.0108, + "step": 4238 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018942006461693448, + "loss": 0.9688, + "step": 4239 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018941513906715803, + "loss": 0.9682, + "step": 4240 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018941021243516036, + "loss": 1.049, + "step": 4241 + }, + { + "epoch": 0.15, + "learning_rate": 0.000189405284721001, + "loss": 0.9187, + "step": 4242 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018940035592473974, + "loss": 0.9876, + "step": 4243 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001893954260464361, + "loss": 0.9735, + "step": 4244 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018939049508614987, + "loss": 0.8615, + "step": 4245 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001893855630439406, + "loss": 0.9716, + "step": 4246 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018938062991986812, + "loss": 1.1257, + "step": 4247 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018937569571399204, + "loss": 1.0075, + "step": 4248 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001893707604263721, + "loss": 0.9112, + "step": 4249 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001893658240570681, + "loss": 0.9587, + "step": 4250 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018936088660613968, + "loss": 0.9934, + "step": 4251 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018935594807364668, + "loss": 1.0154, + "step": 4252 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018935100845964882, + "loss": 1.0583, + "step": 4253 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001893460677642059, + "loss": 0.9417, + "step": 4254 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018934112598737777, + "loss": 1.1004, + "step": 4255 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018933618312922418, + "loss": 1.0589, + "step": 4256 + }, + { + "epoch": 0.15, + "learning_rate": 0.000189331239189805, + "loss": 1.0491, + "step": 4257 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018932629416918, + "loss": 1.0369, + "step": 4258 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018932134806740912, + "loss": 1.0134, + "step": 4259 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018931640088455215, + "loss": 1.0248, + "step": 4260 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018931145262066903, + "loss": 1.0832, + "step": 4261 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018930650327581957, + "loss": 1.002, + "step": 4262 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018930155285006378, + "loss": 1.0118, + "step": 4263 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018929660134346147, + "loss": 0.9638, + "step": 4264 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018929164875607264, + "loss": 1.0043, + "step": 4265 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018928669508795723, + "loss": 0.9984, + "step": 4266 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018928174033917513, + "loss": 1.074, + "step": 4267 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001892767845097864, + "loss": 1.0062, + "step": 4268 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018927182759985093, + "loss": 0.9754, + "step": 4269 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001892668696094288, + "loss": 1.0483, + "step": 4270 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018926191053857995, + "loss": 0.9599, + "step": 4271 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018925695038736446, + "loss": 1.0774, + "step": 4272 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001892519891558423, + "loss": 0.93, + "step": 4273 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018924702684407362, + "loss": 1.0279, + "step": 4274 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018924206345211837, + "loss": 1.0695, + "step": 4275 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018923709898003668, + "loss": 1.0434, + "step": 4276 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018923213342788864, + "loss": 0.9481, + "step": 4277 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001892271667957343, + "loss": 1.0183, + "step": 4278 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018922219908363381, + "loss": 0.94, + "step": 4279 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018921723029164734, + "loss": 1.1096, + "step": 4280 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018921226041983494, + "loss": 1.1363, + "step": 4281 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018920728946825678, + "loss": 1.0925, + "step": 4282 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018920231743697313, + "loss": 0.7946, + "step": 4283 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018919734432604402, + "loss": 1.0101, + "step": 4284 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018919237013552973, + "loss": 1.0092, + "step": 4285 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018918739486549043, + "loss": 0.9208, + "step": 4286 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018918241851598636, + "loss": 0.9853, + "step": 4287 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018917744108707776, + "loss": 0.9521, + "step": 4288 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018917246257882484, + "loss": 1.0395, + "step": 4289 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018916748299128785, + "loss": 0.8611, + "step": 4290 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001891625023245271, + "loss": 1.0068, + "step": 4291 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018915752057860284, + "loss": 1.0297, + "step": 4292 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001891525377535754, + "loss": 1.0133, + "step": 4293 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018914755384950507, + "loss": 1.0189, + "step": 4294 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018914256886645215, + "loss": 0.9729, + "step": 4295 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018913758280447702, + "loss": 1.064, + "step": 4296 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018913259566363997, + "loss": 0.8679, + "step": 4297 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001891276074440014, + "loss": 1.0356, + "step": 4298 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001891226181456217, + "loss": 0.97, + "step": 4299 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001891176277685612, + "loss": 0.9281, + "step": 4300 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018911263631288039, + "loss": 1.0598, + "step": 4301 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018910764377863957, + "loss": 0.9908, + "step": 4302 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018910265016589925, + "loss": 0.9407, + "step": 4303 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018909765547471985, + "loss": 0.885, + "step": 4304 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018909265970516178, + "loss": 1.0826, + "step": 4305 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001890876628572856, + "loss": 1.0124, + "step": 4306 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018908266493115167, + "loss": 0.9569, + "step": 4307 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018907766592682058, + "loss": 0.9234, + "step": 4308 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001890726658443528, + "loss": 0.9667, + "step": 4309 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018906766468380885, + "loss": 1.1332, + "step": 4310 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018906266244524922, + "loss": 0.9849, + "step": 4311 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001890576591287345, + "loss": 1.0374, + "step": 4312 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018905265473432526, + "loss": 0.9773, + "step": 4313 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018904764926208203, + "loss": 1.0219, + "step": 4314 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018904264271206537, + "loss": 1.0077, + "step": 4315 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018903763508433595, + "loss": 1.1194, + "step": 4316 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018903262637895435, + "loss": 0.8842, + "step": 4317 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018902761659598117, + "loss": 1.0471, + "step": 4318 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018902260573547708, + "loss": 1.0691, + "step": 4319 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001890175937975027, + "loss": 0.9522, + "step": 4320 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018901258078211867, + "loss": 0.9619, + "step": 4321 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018900756668938573, + "loss": 0.9244, + "step": 4322 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001890025515193645, + "loss": 0.9354, + "step": 4323 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018899753527211574, + "loss": 0.9762, + "step": 4324 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018899251794770013, + "loss": 1.0492, + "step": 4325 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001889874995461784, + "loss": 1.0638, + "step": 4326 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001889824800676113, + "loss": 0.9881, + "step": 4327 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001889774595120595, + "loss": 0.9809, + "step": 4328 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018897243787958392, + "loss": 1.0742, + "step": 4329 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018896741517024522, + "loss": 0.891, + "step": 4330 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018896239138410425, + "loss": 0.9591, + "step": 4331 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018895736652122178, + "loss": 0.9385, + "step": 4332 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018895234058165865, + "loss": 0.9042, + "step": 4333 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018894731356547566, + "loss": 0.9631, + "step": 4334 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001889422854727337, + "loss": 1.037, + "step": 4335 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001889372563034936, + "loss": 0.9093, + "step": 4336 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001889322260578162, + "loss": 0.9671, + "step": 4337 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018892719473576243, + "loss": 0.9287, + "step": 4338 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018892216233739318, + "loss": 0.948, + "step": 4339 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018891712886276934, + "loss": 1.0003, + "step": 4340 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001889120943119518, + "loss": 1.0264, + "step": 4341 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018890705868500161, + "loss": 1.0116, + "step": 4342 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018890202198197962, + "loss": 0.9965, + "step": 4343 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001888969842029468, + "loss": 0.8983, + "step": 4344 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018889194534796414, + "loss": 0.9729, + "step": 4345 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018888690541709263, + "loss": 1.0018, + "step": 4346 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018888186441039324, + "loss": 0.9803, + "step": 4347 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018887682232792704, + "loss": 1.0428, + "step": 4348 + }, + { + "epoch": 0.15, + "learning_rate": 0.000188871779169755, + "loss": 0.9743, + "step": 4349 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001888667349359382, + "loss": 0.8995, + "step": 4350 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018886168962653764, + "loss": 0.9032, + "step": 4351 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018885664324161446, + "loss": 1.0686, + "step": 4352 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018885159578122966, + "loss": 1.1188, + "step": 4353 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001888465472454444, + "loss": 0.9579, + "step": 4354 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018884149763431974, + "loss": 0.9771, + "step": 4355 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018883644694791683, + "loss": 0.9186, + "step": 4356 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018883139518629675, + "loss": 0.9369, + "step": 4357 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018882634234952068, + "loss": 0.983, + "step": 4358 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018882128843764976, + "loss": 0.9679, + "step": 4359 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001888162334507452, + "loss": 0.9676, + "step": 4360 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018881117738886815, + "loss": 0.9582, + "step": 4361 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001888061202520798, + "loss": 1.1154, + "step": 4362 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018880106204044136, + "loss": 0.9394, + "step": 4363 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018879600275401403, + "loss": 0.8632, + "step": 4364 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001887909423928591, + "loss": 0.9431, + "step": 4365 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018878588095703778, + "loss": 1.0023, + "step": 4366 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018878081844661134, + "loss": 1.0292, + "step": 4367 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018877575486164102, + "loss": 0.9394, + "step": 4368 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018877069020218818, + "loss": 0.9888, + "step": 4369 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018876562446831405, + "loss": 1.0589, + "step": 4370 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018876055766007998, + "loss": 0.9334, + "step": 4371 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001887554897775473, + "loss": 0.9819, + "step": 4372 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018875042082077727, + "loss": 0.9021, + "step": 4373 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018874535078983136, + "loss": 1.0997, + "step": 4374 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018874027968477085, + "loss": 0.9839, + "step": 4375 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018873520750565718, + "loss": 0.8616, + "step": 4376 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001887301342525517, + "loss": 1.0367, + "step": 4377 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018872505992551577, + "loss": 1.0144, + "step": 4378 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018871998452461088, + "loss": 1.0249, + "step": 4379 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018871490804989844, + "loss": 1.0385, + "step": 4380 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018870983050143988, + "loss": 0.9967, + "step": 4381 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018870475187929666, + "loss": 0.9786, + "step": 4382 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018869967218353026, + "loss": 1.0004, + "step": 4383 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018869459141420214, + "loss": 0.9239, + "step": 4384 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001886895095713738, + "loss": 0.8897, + "step": 4385 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018868442665510678, + "loss": 0.9649, + "step": 4386 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018867934266546255, + "loss": 0.9858, + "step": 4387 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018867425760250267, + "loss": 1.0414, + "step": 4388 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018866917146628866, + "loss": 0.9509, + "step": 4389 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018866408425688213, + "loss": 1.0658, + "step": 4390 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018865899597434463, + "loss": 1.0116, + "step": 4391 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001886539066187377, + "loss": 0.9144, + "step": 4392 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018864881619012303, + "loss": 0.9852, + "step": 4393 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018864372468856212, + "loss": 1.1328, + "step": 4394 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001886386321141167, + "loss": 0.9944, + "step": 4395 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018863353846684832, + "loss": 0.9748, + "step": 4396 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001886284437468187, + "loss": 0.9094, + "step": 4397 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018862334795408944, + "loss": 0.9204, + "step": 4398 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018861825108872229, + "loss": 1.0731, + "step": 4399 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001886131531507789, + "loss": 0.9936, + "step": 4400 + }, + { + "epoch": 0.15, + "eval_loss": 0.9748373627662659, + "eval_runtime": 847.0797, + "eval_samples_per_second": 28.403, + "eval_steps_per_second": 14.202, + "step": 4400 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001886080541403209, + "loss": 0.9745, + "step": 4401 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018860295405741012, + "loss": 1.0297, + "step": 4402 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018859785290210824, + "loss": 0.92, + "step": 4403 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018859275067447702, + "loss": 0.8888, + "step": 4404 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001885876473745782, + "loss": 1.0486, + "step": 4405 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018858254300247352, + "loss": 0.8369, + "step": 4406 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018857743755822478, + "loss": 0.9965, + "step": 4407 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001885723310418938, + "loss": 1.013, + "step": 4408 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018856722345354232, + "loss": 0.9782, + "step": 4409 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018856211479323224, + "loss": 0.9791, + "step": 4410 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018855700506102533, + "loss": 0.9406, + "step": 4411 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001885518942569835, + "loss": 1.0845, + "step": 4412 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018854678238116855, + "loss": 0.953, + "step": 4413 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018854166943364233, + "loss": 0.8909, + "step": 4414 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018853655541446683, + "loss": 0.8835, + "step": 4415 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018853144032370382, + "loss": 0.9691, + "step": 4416 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018852632416141527, + "loss": 0.931, + "step": 4417 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018852120692766313, + "loss": 1.0215, + "step": 4418 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018851608862250927, + "loss": 1.0481, + "step": 4419 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001885109692460157, + "loss": 0.838, + "step": 4420 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018850584879824434, + "loss": 1.0713, + "step": 4421 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001885007272792572, + "loss": 1.0277, + "step": 4422 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001884956046891162, + "loss": 1.0262, + "step": 4423 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018849048102788344, + "loss": 0.9291, + "step": 4424 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018848535629562086, + "loss": 1.0222, + "step": 4425 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018848023049239048, + "loss": 0.8341, + "step": 4426 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018847510361825443, + "loss": 1.1322, + "step": 4427 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018846997567327468, + "loss": 0.9901, + "step": 4428 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018846484665751328, + "loss": 0.9427, + "step": 4429 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018845971657103236, + "loss": 0.8918, + "step": 4430 + }, + { + "epoch": 0.16, + "learning_rate": 0.000188454585413894, + "loss": 1.0635, + "step": 4431 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001884494531861603, + "loss": 0.9769, + "step": 4432 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018844431988789334, + "loss": 0.9044, + "step": 4433 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001884391855191553, + "loss": 0.8859, + "step": 4434 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018843405008000833, + "loss": 0.8311, + "step": 4435 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018842891357051457, + "loss": 0.8582, + "step": 4436 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018842377599073614, + "loss": 0.8703, + "step": 4437 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001884186373407353, + "loss": 0.937, + "step": 4438 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001884134976205742, + "loss": 1.0276, + "step": 4439 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018840835683031507, + "loss": 0.9289, + "step": 4440 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001884032149700201, + "loss": 0.9789, + "step": 4441 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018839807203975152, + "loss": 0.8913, + "step": 4442 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018839292803957163, + "loss": 1.0152, + "step": 4443 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018838778296954265, + "loss": 0.9982, + "step": 4444 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018838263682972688, + "loss": 1.0912, + "step": 4445 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018837748962018656, + "loss": 0.9535, + "step": 4446 + }, + { + "epoch": 0.16, + "learning_rate": 0.000188372341340984, + "loss": 0.9088, + "step": 4447 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018836719199218153, + "loss": 0.882, + "step": 4448 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001883620415738415, + "loss": 1.0183, + "step": 4449 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001883568900860262, + "loss": 1.0692, + "step": 4450 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018835173752879798, + "loss": 0.8981, + "step": 4451 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018834658390221923, + "loss": 0.9078, + "step": 4452 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018834142920635234, + "loss": 0.9055, + "step": 4453 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018833627344125965, + "loss": 0.9906, + "step": 4454 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001883311166070036, + "loss": 0.9512, + "step": 4455 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018832595870364656, + "loss": 0.9949, + "step": 4456 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018832079973125104, + "loss": 1.0008, + "step": 4457 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001883156396898794, + "loss": 0.9291, + "step": 4458 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018831047857959413, + "loss": 1.0733, + "step": 4459 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001883053164004577, + "loss": 0.9953, + "step": 4460 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018830015315253256, + "loss": 1.0203, + "step": 4461 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018829498883588124, + "loss": 0.9398, + "step": 4462 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001882898234505662, + "loss": 0.8836, + "step": 4463 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018828465699665, + "loss": 0.9356, + "step": 4464 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001882794894741952, + "loss": 0.8849, + "step": 4465 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018827432088326423, + "loss": 0.965, + "step": 4466 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018826915122391978, + "loss": 1.0099, + "step": 4467 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018826398049622432, + "loss": 1.0109, + "step": 4468 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001882588087002405, + "loss": 1.0605, + "step": 4469 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018825363583603087, + "loss": 0.8364, + "step": 4470 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018824846190365805, + "loss": 1.1074, + "step": 4471 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001882432869031847, + "loss": 0.9953, + "step": 4472 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018823811083467338, + "loss": 0.9254, + "step": 4473 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001882329336981868, + "loss": 0.9534, + "step": 4474 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018822775549378763, + "loss": 1.0404, + "step": 4475 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001882225762215385, + "loss": 0.9594, + "step": 4476 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001882173958815021, + "loss": 0.9411, + "step": 4477 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018821221447374114, + "loss": 1.0929, + "step": 4478 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018820703199831835, + "loss": 0.8383, + "step": 4479 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018820184845529645, + "loss": 0.9206, + "step": 4480 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018819666384473812, + "loss": 0.8852, + "step": 4481 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001881914781667062, + "loss": 0.9805, + "step": 4482 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001881862914212634, + "loss": 0.8562, + "step": 4483 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001881811036084725, + "loss": 1.1335, + "step": 4484 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001881759147283963, + "loss": 0.9804, + "step": 4485 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018817072478109764, + "loss": 0.9785, + "step": 4486 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018816553376663924, + "loss": 1.0985, + "step": 4487 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018816034168508402, + "loss": 0.8665, + "step": 4488 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018815514853649478, + "loss": 0.9524, + "step": 4489 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001881499543209344, + "loss": 0.9504, + "step": 4490 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018814475903846571, + "loss": 0.8933, + "step": 4491 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001881395626891516, + "loss": 0.9703, + "step": 4492 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018813436527305498, + "loss": 1.0086, + "step": 4493 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018812916679023878, + "loss": 1.0828, + "step": 4494 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018812396724076584, + "loss": 1.0564, + "step": 4495 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018811876662469916, + "loss": 0.9712, + "step": 4496 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018811356494210165, + "loss": 0.9603, + "step": 4497 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018810836219303631, + "loss": 0.9974, + "step": 4498 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001881031583775661, + "loss": 1.0331, + "step": 4499 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018809795349575392, + "loss": 0.8699, + "step": 4500 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018809274754766288, + "loss": 0.8747, + "step": 4501 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018808754053335593, + "loss": 0.9962, + "step": 4502 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001880823324528961, + "loss": 1.1062, + "step": 4503 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018807712330634642, + "loss": 0.9702, + "step": 4504 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018807191309377, + "loss": 1.0357, + "step": 4505 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001880667018152298, + "loss": 0.8985, + "step": 4506 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018806148947078893, + "loss": 1.1088, + "step": 4507 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001880562760605105, + "loss": 0.9203, + "step": 4508 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018805106158445762, + "loss": 0.9571, + "step": 4509 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018804584604269336, + "loss": 0.9367, + "step": 4510 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018804062943528088, + "loss": 1.0321, + "step": 4511 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018803541176228328, + "loss": 0.8771, + "step": 4512 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001880301930237638, + "loss": 1.1079, + "step": 4513 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018802497321978548, + "loss": 0.9207, + "step": 4514 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001880197523504116, + "loss": 0.9717, + "step": 4515 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018801453041570527, + "loss": 1.0445, + "step": 4516 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018800930741572972, + "loss": 0.9096, + "step": 4517 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018800408335054822, + "loss": 0.9441, + "step": 4518 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018799885822022393, + "loss": 0.9961, + "step": 4519 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001879936320248201, + "loss": 0.9115, + "step": 4520 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018798840476440002, + "loss": 0.927, + "step": 4521 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018798317643902696, + "loss": 0.9839, + "step": 4522 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018797794704876415, + "loss": 1.0527, + "step": 4523 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018797271659367487, + "loss": 0.9524, + "step": 4524 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018796748507382254, + "loss": 0.8994, + "step": 4525 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018796225248927036, + "loss": 1.0268, + "step": 4526 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018795701884008172, + "loss": 1.092, + "step": 4527 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018795178412631995, + "loss": 0.9522, + "step": 4528 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018794654834804842, + "loss": 1.0246, + "step": 4529 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018794131150533046, + "loss": 0.9826, + "step": 4530 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018793607359822955, + "loss": 0.9515, + "step": 4531 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018793083462680896, + "loss": 0.9531, + "step": 4532 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018792559459113216, + "loss": 0.9456, + "step": 4533 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018792035349126258, + "loss": 0.9017, + "step": 4534 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018791511132726366, + "loss": 0.9937, + "step": 4535 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018790986809919883, + "loss": 0.9006, + "step": 4536 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018790462380713152, + "loss": 1.0272, + "step": 4537 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018789937845112525, + "loss": 0.9667, + "step": 4538 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001878941320312435, + "loss": 0.9789, + "step": 4539 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018788888454754975, + "loss": 0.963, + "step": 4540 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018788363600010758, + "loss": 0.9022, + "step": 4541 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001878783863889804, + "loss": 1.0151, + "step": 4542 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001878731357142318, + "loss": 0.9094, + "step": 4543 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018786788397592537, + "loss": 0.9095, + "step": 4544 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018786263117412464, + "loss": 0.9365, + "step": 4545 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018785737730889315, + "loss": 1.0336, + "step": 4546 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018785212238029458, + "loss": 1.0233, + "step": 4547 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018784686638839243, + "loss": 0.8775, + "step": 4548 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001878416093332504, + "loss": 0.968, + "step": 4549 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018783635121493206, + "loss": 0.8774, + "step": 4550 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018783109203350108, + "loss": 0.8719, + "step": 4551 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018782583178902112, + "loss": 0.9864, + "step": 4552 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001878205704815558, + "loss": 1.0316, + "step": 4553 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018781530811116885, + "loss": 1.0154, + "step": 4554 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018781004467792394, + "loss": 0.9704, + "step": 4555 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018780478018188477, + "loss": 0.9533, + "step": 4556 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001877995146231151, + "loss": 0.8941, + "step": 4557 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001877942480016786, + "loss": 0.9719, + "step": 4558 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018778898031763906, + "loss": 1.0751, + "step": 4559 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001877837115710602, + "loss": 0.9326, + "step": 4560 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018777844176200582, + "loss": 0.8688, + "step": 4561 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018777317089053964, + "loss": 0.9366, + "step": 4562 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018776789895672558, + "loss": 1.0209, + "step": 4563 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018776262596062734, + "loss": 0.8542, + "step": 4564 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018775735190230876, + "loss": 0.9055, + "step": 4565 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001877520767818337, + "loss": 0.9388, + "step": 4566 + }, + { + "epoch": 0.16, + "learning_rate": 0.000187746800599266, + "loss": 0.9359, + "step": 4567 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001877415233546695, + "loss": 1.0285, + "step": 4568 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001877362450481081, + "loss": 0.9129, + "step": 4569 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018773096567964567, + "loss": 0.9485, + "step": 4570 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018772568524934609, + "loss": 0.9575, + "step": 4571 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001877204037572733, + "loss": 1.0443, + "step": 4572 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018771512120349123, + "loss": 1.0791, + "step": 4573 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018770983758806378, + "loss": 0.8434, + "step": 4574 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001877045529110549, + "loss": 0.8524, + "step": 4575 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018769926717252861, + "loss": 0.9237, + "step": 4576 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018769398037254883, + "loss": 0.9717, + "step": 4577 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018768869251117954, + "loss": 0.9974, + "step": 4578 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018768340358848483, + "loss": 0.8414, + "step": 4579 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018767811360452858, + "loss": 0.9428, + "step": 4580 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018767282255937492, + "loss": 0.8683, + "step": 4581 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018766753045308784, + "loss": 1.022, + "step": 4582 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018766223728573144, + "loss": 0.9996, + "step": 4583 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001876569430573697, + "loss": 0.9497, + "step": 4584 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018765164776806678, + "loss": 1.034, + "step": 4585 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018764635141788673, + "loss": 1.0402, + "step": 4586 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018764105400689366, + "loss": 0.9136, + "step": 4587 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018763575553515168, + "loss": 0.9838, + "step": 4588 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018763045600272496, + "loss": 0.9481, + "step": 4589 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001876251554096776, + "loss": 1.0254, + "step": 4590 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018761985375607374, + "loss": 0.8504, + "step": 4591 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001876145510419776, + "loss": 0.918, + "step": 4592 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018760924726745332, + "loss": 0.9689, + "step": 4593 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018760394243256512, + "loss": 0.9218, + "step": 4594 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001875986365373772, + "loss": 0.9156, + "step": 4595 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018759332958195375, + "loss": 0.8724, + "step": 4596 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018758802156635903, + "loss": 0.9466, + "step": 4597 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001875827124906573, + "loss": 1.0284, + "step": 4598 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018757740235491276, + "loss": 0.8998, + "step": 4599 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018757209115918973, + "loss": 0.9131, + "step": 4600 + }, + { + "epoch": 0.16, + "eval_loss": 0.9592324495315552, + "eval_runtime": 849.2893, + "eval_samples_per_second": 28.33, + "eval_steps_per_second": 14.165, + "step": 4600 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001875667789035525, + "loss": 0.9899, + "step": 4601 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018756146558806532, + "loss": 1.0264, + "step": 4602 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018755615121279252, + "loss": 0.9189, + "step": 4603 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018755083577779846, + "loss": 0.9238, + "step": 4604 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018754551928314741, + "loss": 1.0522, + "step": 4605 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018754020172890377, + "loss": 1.0212, + "step": 4606 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018753488311513185, + "loss": 0.9743, + "step": 4607 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018752956344189609, + "loss": 0.9411, + "step": 4608 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001875242427092608, + "loss": 0.8786, + "step": 4609 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001875189209172904, + "loss": 0.9333, + "step": 4610 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018751359806604937, + "loss": 1.0269, + "step": 4611 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018750827415560205, + "loss": 0.9445, + "step": 4612 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018750294918601292, + "loss": 1.0317, + "step": 4613 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018749762315734643, + "loss": 0.8315, + "step": 4614 + }, + { + "epoch": 0.16, + "learning_rate": 0.000187492296069667, + "loss": 0.9585, + "step": 4615 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018748696792303916, + "loss": 1.0658, + "step": 4616 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018748163871752738, + "loss": 1.0233, + "step": 4617 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018747630845319612, + "loss": 0.9415, + "step": 4618 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018747097713010997, + "loss": 1.0696, + "step": 4619 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018746564474833339, + "loss": 0.918, + "step": 4620 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018746031130793096, + "loss": 0.9617, + "step": 4621 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018745497680896722, + "loss": 0.9976, + "step": 4622 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018744964125150672, + "loss": 0.9222, + "step": 4623 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018744430463561406, + "loss": 0.8952, + "step": 4624 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018743896696135385, + "loss": 0.9629, + "step": 4625 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018743362822879064, + "loss": 0.8452, + "step": 4626 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018742828843798905, + "loss": 1.0081, + "step": 4627 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001874229475890138, + "loss": 1.053, + "step": 4628 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018741760568192936, + "loss": 0.9919, + "step": 4629 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018741226271680057, + "loss": 0.9957, + "step": 4630 + }, + { + "epoch": 0.16, + "learning_rate": 0.000187406918693692, + "loss": 0.9833, + "step": 4631 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001874015736126683, + "loss": 0.9682, + "step": 4632 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001873962274737943, + "loss": 0.9726, + "step": 4633 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018739088027713456, + "loss": 0.827, + "step": 4634 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018738553202275385, + "loss": 1.0662, + "step": 4635 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018738018271071693, + "loss": 1.0308, + "step": 4636 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018737483234108852, + "loss": 1.0279, + "step": 4637 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018736948091393335, + "loss": 0.7995, + "step": 4638 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018736412842931626, + "loss": 0.9496, + "step": 4639 + }, + { + "epoch": 0.16, + "learning_rate": 0.000187358774887302, + "loss": 0.9813, + "step": 4640 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001873534202879553, + "loss": 1.0276, + "step": 4641 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018734806463134107, + "loss": 0.9522, + "step": 4642 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018734270791752406, + "loss": 0.9464, + "step": 4643 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018733735014656914, + "loss": 0.8327, + "step": 4644 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018733199131854114, + "loss": 1.0919, + "step": 4645 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018732663143350499, + "loss": 0.8807, + "step": 4646 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018732127049152542, + "loss": 0.8097, + "step": 4647 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018731590849266745, + "loss": 1.0206, + "step": 4648 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018731054543699588, + "loss": 0.9439, + "step": 4649 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018730518132457568, + "loss": 0.9626, + "step": 4650 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001872998161554718, + "loss": 0.9968, + "step": 4651 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001872944499297491, + "loss": 0.9116, + "step": 4652 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018728908264747257, + "loss": 0.8924, + "step": 4653 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018728371430870716, + "loss": 0.9613, + "step": 4654 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018727834491351786, + "loss": 1.0663, + "step": 4655 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018727297446196963, + "loss": 1.0328, + "step": 4656 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001872676029541275, + "loss": 0.8906, + "step": 4657 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018726223039005645, + "loss": 1.0003, + "step": 4658 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018725685676982158, + "loss": 1.112, + "step": 4659 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018725148209348784, + "loss": 1.0247, + "step": 4660 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001872461063611203, + "loss": 1.0122, + "step": 4661 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018724072957278408, + "loss": 0.9988, + "step": 4662 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018723535172854422, + "loss": 1.0297, + "step": 4663 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001872299728284658, + "loss": 1.0075, + "step": 4664 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018722459287261393, + "loss": 0.9347, + "step": 4665 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001872192118610537, + "loss": 0.8986, + "step": 4666 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018721382979385032, + "loss": 1.0307, + "step": 4667 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018720844667106885, + "loss": 0.8891, + "step": 4668 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018720306249277448, + "loss": 1.0566, + "step": 4669 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018719767725903233, + "loss": 1.1641, + "step": 4670 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018719229096990768, + "loss": 0.9725, + "step": 4671 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001871869036254656, + "loss": 1.084, + "step": 4672 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018718151522577139, + "loss": 0.9565, + "step": 4673 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001871761257708902, + "loss": 1.0134, + "step": 4674 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018717073526088732, + "loss": 0.8585, + "step": 4675 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018716534369582792, + "loss": 0.9449, + "step": 4676 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018715995107577733, + "loss": 1.0932, + "step": 4677 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018715455740080079, + "loss": 1.0729, + "step": 4678 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001871491626709636, + "loss": 0.9365, + "step": 4679 + }, + { + "epoch": 0.16, + "learning_rate": 0.000187143766886331, + "loss": 0.9431, + "step": 4680 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018713837004696835, + "loss": 0.8612, + "step": 4681 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018713297215294095, + "loss": 0.9349, + "step": 4682 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001871275732043141, + "loss": 1.0564, + "step": 4683 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018712217320115322, + "loss": 0.8877, + "step": 4684 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001871167721435236, + "loss": 0.9459, + "step": 4685 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018711137003149067, + "loss": 1.0086, + "step": 4686 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018710596686511975, + "loss": 0.8848, + "step": 4687 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018710056264447628, + "loss": 0.9587, + "step": 4688 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018709515736962566, + "loss": 0.9416, + "step": 4689 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018708975104063331, + "loss": 0.945, + "step": 4690 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018708434365756466, + "loss": 0.9529, + "step": 4691 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018707893522048515, + "loss": 0.9557, + "step": 4692 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018707352572946027, + "loss": 1.0141, + "step": 4693 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018706811518455548, + "loss": 1.0187, + "step": 4694 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018706270358583623, + "loss": 0.853, + "step": 4695 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018705729093336805, + "loss": 0.9307, + "step": 4696 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018705187722721647, + "loss": 1.0048, + "step": 4697 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018704646246744697, + "loss": 0.8684, + "step": 4698 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018704104665412513, + "loss": 1.1039, + "step": 4699 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018703562978731645, + "loss": 0.8841, + "step": 4700 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018703021186708654, + "loss": 0.9199, + "step": 4701 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018702479289350095, + "loss": 0.9595, + "step": 4702 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018701937286662526, + "loss": 0.9344, + "step": 4703 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018701395178652512, + "loss": 0.8918, + "step": 4704 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001870085296532661, + "loss": 0.8322, + "step": 4705 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001870031064669138, + "loss": 0.9751, + "step": 4706 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018699768222753393, + "loss": 0.9617, + "step": 4707 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018699225693519206, + "loss": 1.0233, + "step": 4708 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018698683058995395, + "loss": 0.9139, + "step": 4709 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001869814031918852, + "loss": 0.9689, + "step": 4710 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001869759747410515, + "loss": 0.8646, + "step": 4711 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001869705452375186, + "loss": 1.077, + "step": 4712 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018696511468135215, + "loss": 0.9889, + "step": 4713 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018695968307261797, + "loss": 0.9614, + "step": 4714 + }, + { + "epoch": 0.16, + "learning_rate": 0.00018695425041138176, + "loss": 0.9392, + "step": 4715 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018694881669770923, + "loss": 1.0558, + "step": 4716 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018694338193166616, + "loss": 0.9009, + "step": 4717 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018693794611331836, + "loss": 0.8497, + "step": 4718 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018693250924273165, + "loss": 0.9878, + "step": 4719 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018692707131997175, + "loss": 0.8438, + "step": 4720 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018692163234510452, + "loss": 0.9656, + "step": 4721 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018691619231819582, + "loss": 0.903, + "step": 4722 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018691075123931144, + "loss": 1.0485, + "step": 4723 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018690530910851725, + "loss": 1.006, + "step": 4724 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018689986592587912, + "loss": 0.9543, + "step": 4725 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018689442169146297, + "loss": 1.0292, + "step": 4726 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001868889764053346, + "loss": 0.9369, + "step": 4727 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018688353006756004, + "loss": 0.9354, + "step": 4728 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018687808267820515, + "loss": 0.9002, + "step": 4729 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018687263423733584, + "loss": 1.0221, + "step": 4730 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018686718474501804, + "loss": 0.9158, + "step": 4731 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018686173420131774, + "loss": 0.947, + "step": 4732 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018685628260630094, + "loss": 0.927, + "step": 4733 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018685082996003355, + "loss": 1.0254, + "step": 4734 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018684537626258163, + "loss": 0.9625, + "step": 4735 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018683992151401115, + "loss": 0.9368, + "step": 4736 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018683446571438815, + "loss": 0.8902, + "step": 4737 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018682900886377864, + "loss": 0.963, + "step": 4738 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018682355096224872, + "loss": 1.0627, + "step": 4739 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001868180920098644, + "loss": 0.9409, + "step": 4740 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018681263200669176, + "loss": 1.0003, + "step": 4741 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018680717095279688, + "loss": 0.9284, + "step": 4742 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018680170884824586, + "loss": 0.9829, + "step": 4743 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001867962456931048, + "loss": 0.9655, + "step": 4744 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018679078148743986, + "loss": 0.9267, + "step": 4745 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018678531623131717, + "loss": 0.9596, + "step": 4746 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018677984992480283, + "loss": 0.9461, + "step": 4747 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018677438256796302, + "loss": 1.0686, + "step": 4748 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018676891416086395, + "loss": 0.9055, + "step": 4749 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018676344470357176, + "loss": 1.139, + "step": 4750 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018675797419615266, + "loss": 0.9731, + "step": 4751 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001867525026386729, + "loss": 0.8782, + "step": 4752 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018674703003119866, + "loss": 1.051, + "step": 4753 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001867415563737962, + "loss": 0.9259, + "step": 4754 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018673608166653173, + "loss": 1.0749, + "step": 4755 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018673060590947154, + "loss": 1.0045, + "step": 4756 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018672512910268194, + "loss": 0.9505, + "step": 4757 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018671965124622916, + "loss": 0.9295, + "step": 4758 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018671417234017955, + "loss": 1.0023, + "step": 4759 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018670869238459936, + "loss": 0.8447, + "step": 4760 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018670321137955498, + "loss": 0.9335, + "step": 4761 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018669772932511272, + "loss": 0.9676, + "step": 4762 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001866922462213389, + "loss": 0.9127, + "step": 4763 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018668676206829997, + "loss": 1.0474, + "step": 4764 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018668127686606223, + "loss": 0.8608, + "step": 4765 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018667579061469207, + "loss": 0.9203, + "step": 4766 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018667030331425593, + "loss": 0.9972, + "step": 4767 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001866648149648202, + "loss": 0.8644, + "step": 4768 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018665932556645134, + "loss": 1.0234, + "step": 4769 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018665383511921575, + "loss": 0.9633, + "step": 4770 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018664834362317988, + "loss": 0.852, + "step": 4771 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018664285107841027, + "loss": 1.032, + "step": 4772 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018663735748497331, + "loss": 0.8523, + "step": 4773 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001866318628429355, + "loss": 0.9754, + "step": 4774 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001866263671523634, + "loss": 1.0178, + "step": 4775 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018662087041332347, + "loss": 0.8971, + "step": 4776 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018661537262588227, + "loss": 0.9568, + "step": 4777 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018660987379010634, + "loss": 0.9698, + "step": 4778 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018660437390606222, + "loss": 1.0179, + "step": 4779 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018659887297381648, + "loss": 0.859, + "step": 4780 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018659337099343571, + "loss": 1.0174, + "step": 4781 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001865878679649865, + "loss": 0.9528, + "step": 4782 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018658236388853548, + "loss": 0.9638, + "step": 4783 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018657685876414919, + "loss": 0.8453, + "step": 4784 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018657135259189433, + "loss": 1.0754, + "step": 4785 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018656584537183753, + "loss": 1.0255, + "step": 4786 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018656033710404542, + "loss": 1.0923, + "step": 4787 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018655482778858468, + "loss": 1.0803, + "step": 4788 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018654931742552203, + "loss": 0.977, + "step": 4789 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018654380601492408, + "loss": 0.953, + "step": 4790 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018653829355685762, + "loss": 1.0893, + "step": 4791 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018653278005138936, + "loss": 0.8578, + "step": 4792 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018652726549858598, + "loss": 0.7379, + "step": 4793 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018652174989851428, + "loss": 0.9477, + "step": 4794 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018651623325124095, + "loss": 1.0051, + "step": 4795 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001865107155568328, + "loss": 0.8709, + "step": 4796 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018650519681535666, + "loss": 0.9567, + "step": 4797 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018649967702687924, + "loss": 0.846, + "step": 4798 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001864941561914674, + "loss": 1.0119, + "step": 4799 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018648863430918795, + "loss": 0.9426, + "step": 4800 + }, + { + "epoch": 0.17, + "eval_loss": 0.9415798187255859, + "eval_runtime": 850.1562, + "eval_samples_per_second": 28.301, + "eval_steps_per_second": 14.15, + "step": 4800 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018648311138010773, + "loss": 1.032, + "step": 4801 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018647758740429352, + "loss": 0.9823, + "step": 4802 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001864720623818123, + "loss": 0.9794, + "step": 4803 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018646653631273084, + "loss": 0.8485, + "step": 4804 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018646100919711604, + "loss": 1.0537, + "step": 4805 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018645548103503486, + "loss": 0.9541, + "step": 4806 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018644995182655417, + "loss": 0.8379, + "step": 4807 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018644442157174083, + "loss": 1.0188, + "step": 4808 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018643889027066186, + "loss": 0.8834, + "step": 4809 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018643335792338416, + "loss": 0.8775, + "step": 4810 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018642782452997473, + "loss": 1.0026, + "step": 4811 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018642229009050053, + "loss": 0.9389, + "step": 4812 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018641675460502851, + "loss": 0.9206, + "step": 4813 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018641121807362571, + "loss": 0.7628, + "step": 4814 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018640568049635913, + "loss": 0.9022, + "step": 4815 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018640014187329578, + "loss": 1.0668, + "step": 4816 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001863946022045027, + "loss": 0.9727, + "step": 4817 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018638906149004693, + "loss": 1.0893, + "step": 4818 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018638351972999557, + "loss": 1.0994, + "step": 4819 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018637797692441565, + "loss": 0.9108, + "step": 4820 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018637243307337425, + "loss": 0.9566, + "step": 4821 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018636688817693853, + "loss": 0.9435, + "step": 4822 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018636134223517554, + "loss": 0.8338, + "step": 4823 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018635579524815246, + "loss": 0.9371, + "step": 4824 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018635024721593636, + "loss": 0.8549, + "step": 4825 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018634469813859442, + "loss": 0.9612, + "step": 4826 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018633914801619383, + "loss": 0.8485, + "step": 4827 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018633359684880172, + "loss": 1.0441, + "step": 4828 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018632804463648533, + "loss": 0.8438, + "step": 4829 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001863224913793118, + "loss": 0.9736, + "step": 4830 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001863169370773484, + "loss": 0.9097, + "step": 4831 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001863113817306623, + "loss": 1.0442, + "step": 4832 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018630582533932078, + "loss": 1.0446, + "step": 4833 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018630026790339107, + "loss": 1.0225, + "step": 4834 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018629470942294044, + "loss": 1.0273, + "step": 4835 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001862891498980362, + "loss": 0.9478, + "step": 4836 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018628358932874556, + "loss": 0.9346, + "step": 4837 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018627802771513589, + "loss": 0.9902, + "step": 4838 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018627246505727448, + "loss": 0.9867, + "step": 4839 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018626690135522864, + "loss": 0.939, + "step": 4840 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018626133660906575, + "loss": 0.9403, + "step": 4841 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018625577081885313, + "loss": 0.9121, + "step": 4842 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018625020398465819, + "loss": 1.118, + "step": 4843 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001862446361065482, + "loss": 0.9533, + "step": 4844 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018623906718459064, + "loss": 0.8377, + "step": 4845 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018623349721885295, + "loss": 0.8892, + "step": 4846 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018622792620940243, + "loss": 0.9534, + "step": 4847 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001862223541563066, + "loss": 0.9182, + "step": 4848 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018621678105963286, + "loss": 1.0104, + "step": 4849 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018621120691944865, + "loss": 0.811, + "step": 4850 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018620563173582147, + "loss": 0.8516, + "step": 4851 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001862000555088188, + "loss": 0.8788, + "step": 4852 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018619447823850808, + "loss": 0.9743, + "step": 4853 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018618889992495687, + "loss": 0.9558, + "step": 4854 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018618332056823266, + "loss": 0.8442, + "step": 4855 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018617774016840296, + "loss": 0.9631, + "step": 4856 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001861721587255354, + "loss": 0.9196, + "step": 4857 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001861665762396974, + "loss": 0.9022, + "step": 4858 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018616099271095662, + "loss": 0.8422, + "step": 4859 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001861554081393806, + "loss": 0.85, + "step": 4860 + }, + { + "epoch": 0.17, + "learning_rate": 0.000186149822525037, + "loss": 1.0507, + "step": 4861 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018614423586799333, + "loss": 0.9016, + "step": 4862 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018613864816831725, + "loss": 0.9938, + "step": 4863 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001861330594260764, + "loss": 0.9589, + "step": 4864 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001861274696413384, + "loss": 0.991, + "step": 4865 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001861218788141709, + "loss": 0.897, + "step": 4866 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001861162869446416, + "loss": 0.9565, + "step": 4867 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001861106940328182, + "loss": 0.987, + "step": 4868 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001861051000787683, + "loss": 0.921, + "step": 4869 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018609950508255966, + "loss": 0.9412, + "step": 4870 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018609390904426006, + "loss": 0.9824, + "step": 4871 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018608831196393713, + "loss": 0.9909, + "step": 4872 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018608271384165865, + "loss": 0.7496, + "step": 4873 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018607711467749237, + "loss": 0.9177, + "step": 4874 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018607151447150612, + "loss": 0.7464, + "step": 4875 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001860659132237676, + "loss": 1.0569, + "step": 4876 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018606031093434461, + "loss": 0.9982, + "step": 4877 + }, + { + "epoch": 0.17, + "learning_rate": 0.000186054707603305, + "loss": 0.9107, + "step": 4878 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018604910323071657, + "loss": 0.9391, + "step": 4879 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018604349781664717, + "loss": 0.9128, + "step": 4880 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018603789136116457, + "loss": 0.901, + "step": 4881 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018603228386433672, + "loss": 0.9606, + "step": 4882 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018602667532623146, + "loss": 1.0559, + "step": 4883 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018602106574691667, + "loss": 0.9123, + "step": 4884 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018601545512646021, + "loss": 0.9216, + "step": 4885 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018600984346493004, + "loss": 1.0357, + "step": 4886 + }, + { + "epoch": 0.17, + "learning_rate": 0.000186004230762394, + "loss": 0.8483, + "step": 4887 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001859986170189201, + "loss": 0.9952, + "step": 4888 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018599300223457629, + "loss": 1.0275, + "step": 4889 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001859873864094305, + "loss": 1.0081, + "step": 4890 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018598176954355068, + "loss": 0.9672, + "step": 4891 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018597615163700484, + "loss": 0.9886, + "step": 4892 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018597053268986098, + "loss": 0.9642, + "step": 4893 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018596491270218707, + "loss": 0.9027, + "step": 4894 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018595929167405118, + "loss": 0.9571, + "step": 4895 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001859536696055213, + "loss": 0.8085, + "step": 4896 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001859480464966655, + "loss": 0.9672, + "step": 4897 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018594242234755185, + "loss": 0.8137, + "step": 4898 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001859367971582484, + "loss": 0.934, + "step": 4899 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018593117092882323, + "loss": 0.8616, + "step": 4900 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018592554365934444, + "loss": 0.9274, + "step": 4901 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018591991534988017, + "loss": 0.8808, + "step": 4902 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018591428600049848, + "loss": 0.9727, + "step": 4903 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018590865561126757, + "loss": 0.9702, + "step": 4904 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018590302418225552, + "loss": 0.8641, + "step": 4905 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018589739171353053, + "loss": 0.8937, + "step": 4906 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018589175820516078, + "loss": 0.874, + "step": 4907 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018588612365721442, + "loss": 0.9027, + "step": 4908 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018588048806975969, + "loss": 0.9794, + "step": 4909 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018587485144286477, + "loss": 0.9252, + "step": 4910 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001858692137765979, + "loss": 0.8876, + "step": 4911 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018586357507102726, + "loss": 0.9524, + "step": 4912 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018585793532622117, + "loss": 1.0467, + "step": 4913 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018585229454224787, + "loss": 0.8988, + "step": 4914 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018584665271917562, + "loss": 0.879, + "step": 4915 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001858410098570727, + "loss": 0.9103, + "step": 4916 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001858353659560074, + "loss": 0.9735, + "step": 4917 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018582972101604804, + "loss": 0.918, + "step": 4918 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018582407503726299, + "loss": 0.8887, + "step": 4919 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018581842801972053, + "loss": 0.9069, + "step": 4920 + }, + { + "epoch": 0.17, + "learning_rate": 0.000185812779963489, + "loss": 0.8266, + "step": 4921 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018580713086863677, + "loss": 0.8439, + "step": 4922 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018580148073523223, + "loss": 0.923, + "step": 4923 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001857958295633438, + "loss": 0.9764, + "step": 4924 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018579017735303977, + "loss": 0.9971, + "step": 4925 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018578452410438864, + "loss": 0.9417, + "step": 4926 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018577886981745883, + "loss": 0.9611, + "step": 4927 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018577321449231873, + "loss": 1.0013, + "step": 4928 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018576755812903684, + "loss": 0.9203, + "step": 4929 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001857619007276816, + "loss": 0.9982, + "step": 4930 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018575624228832146, + "loss": 0.9704, + "step": 4931 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001857505828110249, + "loss": 0.9817, + "step": 4932 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018574492229586045, + "loss": 1.0291, + "step": 4933 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018573926074289663, + "loss": 0.9509, + "step": 4934 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018573359815220197, + "loss": 0.8653, + "step": 4935 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018572793452384495, + "loss": 0.9133, + "step": 4936 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018572226985789415, + "loss": 0.8587, + "step": 4937 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018571660415441817, + "loss": 0.849, + "step": 4938 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001857109374134855, + "loss": 0.9333, + "step": 4939 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018570526963516482, + "loss": 0.9773, + "step": 4940 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018569960081952464, + "loss": 0.8843, + "step": 4941 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018569393096663366, + "loss": 0.8298, + "step": 4942 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018568826007656043, + "loss": 0.911, + "step": 4943 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018568258814937363, + "loss": 1.0452, + "step": 4944 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001856769151851419, + "loss": 0.9144, + "step": 4945 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018567124118393387, + "loss": 0.8296, + "step": 4946 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018566556614581825, + "loss": 0.9392, + "step": 4947 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001856598900708637, + "loss": 0.8864, + "step": 4948 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018565421295913898, + "loss": 0.8185, + "step": 4949 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018564853481071273, + "loss": 1.027, + "step": 4950 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001856428556256537, + "loss": 0.9707, + "step": 4951 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018563717540403065, + "loss": 0.9725, + "step": 4952 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001856314941459123, + "loss": 0.9531, + "step": 4953 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018562581185136744, + "loss": 0.9298, + "step": 4954 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001856201285204648, + "loss": 0.9052, + "step": 4955 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018561444415327323, + "loss": 0.9112, + "step": 4956 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018560875874986147, + "loss": 0.9632, + "step": 4957 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018560307231029835, + "loss": 0.9012, + "step": 4958 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001855973848346527, + "loss": 0.9372, + "step": 4959 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018559169632299338, + "loss": 1.0774, + "step": 4960 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018558600677538923, + "loss": 0.9416, + "step": 4961 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018558031619190905, + "loss": 0.879, + "step": 4962 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001855746245726218, + "loss": 0.9104, + "step": 4963 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018556893191759634, + "loss": 1.006, + "step": 4964 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018556323822690153, + "loss": 0.8647, + "step": 4965 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018555754350060635, + "loss": 0.8287, + "step": 4966 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001855518477387797, + "loss": 0.9063, + "step": 4967 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018554615094149046, + "loss": 1.0536, + "step": 4968 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018554045310880768, + "loss": 0.9648, + "step": 4969 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018553475424080024, + "loss": 0.8546, + "step": 4970 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018552905433753716, + "loss": 0.9232, + "step": 4971 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018552335339908744, + "loss": 0.8126, + "step": 4972 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018551765142552003, + "loss": 0.9794, + "step": 4973 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018551194841690395, + "loss": 0.8751, + "step": 4974 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001855062443733083, + "loss": 1.0991, + "step": 4975 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018550053929480202, + "loss": 0.9601, + "step": 4976 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001854948331814542, + "loss": 0.7643, + "step": 4977 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018548912603333391, + "loss": 0.9928, + "step": 4978 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018548341785051023, + "loss": 0.8997, + "step": 4979 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018547770863305222, + "loss": 0.9498, + "step": 4980 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018547199838102904, + "loss": 0.9925, + "step": 4981 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018546628709450972, + "loss": 0.8018, + "step": 4982 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018546057477356346, + "loss": 0.9219, + "step": 4983 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018545486141825936, + "loss": 0.8363, + "step": 4984 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018544914702866658, + "loss": 0.9755, + "step": 4985 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018544343160485427, + "loss": 0.9339, + "step": 4986 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018543771514689162, + "loss": 0.8997, + "step": 4987 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018543199765484782, + "loss": 0.9129, + "step": 4988 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018542627912879206, + "loss": 0.8797, + "step": 4989 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018542055956879353, + "loss": 0.8235, + "step": 4990 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018541483897492156, + "loss": 0.8798, + "step": 4991 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018540911734724524, + "loss": 0.9633, + "step": 4992 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018540339468583393, + "loss": 1.0441, + "step": 4993 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001853976709907568, + "loss": 0.9882, + "step": 4994 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018539194626208326, + "loss": 0.9157, + "step": 4995 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001853862204998825, + "loss": 0.865, + "step": 4996 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018538049370422381, + "loss": 1.0331, + "step": 4997 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018537476587517654, + "loss": 1.0038, + "step": 4998 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018536903701281003, + "loss": 0.9054, + "step": 4999 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001853633071171936, + "loss": 0.8971, + "step": 5000 + }, + { + "epoch": 0.17, + "eval_loss": 0.9278010129928589, + "eval_runtime": 845.3949, + "eval_samples_per_second": 28.46, + "eval_steps_per_second": 14.23, + "step": 5000 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001853575761883966, + "loss": 0.9364, + "step": 5001 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018535184422648838, + "loss": 0.8449, + "step": 5002 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001853461112315383, + "loss": 0.8724, + "step": 5003 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018534037720361585, + "loss": 0.9286, + "step": 5004 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001853346421427903, + "loss": 0.8815, + "step": 5005 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018532890604913113, + "loss": 0.9004, + "step": 5006 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018532316892270779, + "loss": 1.0734, + "step": 5007 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018531743076358965, + "loss": 1.0016, + "step": 5008 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001853116915718462, + "loss": 0.8374, + "step": 5009 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001853059513475469, + "loss": 0.9438, + "step": 5010 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018530021009076123, + "loss": 0.9938, + "step": 5011 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018529446780155868, + "loss": 0.9373, + "step": 5012 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018528872448000876, + "loss": 0.9426, + "step": 5013 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018528298012618095, + "loss": 0.8517, + "step": 5014 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001852772347401448, + "loss": 0.8542, + "step": 5015 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001852714883219698, + "loss": 1.0322, + "step": 5016 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001852657408717256, + "loss": 0.861, + "step": 5017 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001852599923894817, + "loss": 0.9546, + "step": 5018 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018525424287530766, + "loss": 0.9157, + "step": 5019 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018524849232927308, + "loss": 0.8747, + "step": 5020 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001852427407514476, + "loss": 0.9298, + "step": 5021 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001852369881419008, + "loss": 0.9285, + "step": 5022 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001852312345007023, + "loss": 0.8405, + "step": 5023 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018522547982792174, + "loss": 0.8102, + "step": 5024 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018521972412362882, + "loss": 0.8593, + "step": 5025 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018521396738789312, + "loss": 0.8104, + "step": 5026 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018520820962078437, + "loss": 0.9329, + "step": 5027 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018520245082237225, + "loss": 0.9529, + "step": 5028 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018519669099272646, + "loss": 1.0247, + "step": 5029 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001851909301319167, + "loss": 0.9986, + "step": 5030 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001851851682400127, + "loss": 1.0668, + "step": 5031 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018517940531708425, + "loss": 0.9306, + "step": 5032 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018517364136320098, + "loss": 0.992, + "step": 5033 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001851678763784328, + "loss": 0.8859, + "step": 5034 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018516211036284937, + "loss": 0.7473, + "step": 5035 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018515634331652052, + "loss": 0.894, + "step": 5036 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001851505752395161, + "loss": 0.8889, + "step": 5037 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018514480613190582, + "loss": 0.8734, + "step": 5038 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018513903599375956, + "loss": 0.9302, + "step": 5039 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001851332648251472, + "loss": 0.8132, + "step": 5040 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018512749262613852, + "loss": 1.0381, + "step": 5041 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001851217193968034, + "loss": 0.9709, + "step": 5042 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018511594513721173, + "loss": 0.8414, + "step": 5043 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018511016984743342, + "loss": 1.0565, + "step": 5044 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001851043935275383, + "loss": 0.9436, + "step": 5045 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018509861617759636, + "loss": 0.9115, + "step": 5046 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001850928377976775, + "loss": 0.9165, + "step": 5047 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018508705838785164, + "loss": 0.9849, + "step": 5048 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018508127794818874, + "loss": 1.0031, + "step": 5049 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018507549647875875, + "loss": 1.0663, + "step": 5050 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018506971397963166, + "loss": 1.0475, + "step": 5051 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001850639304508775, + "loss": 0.9814, + "step": 5052 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018505814589256616, + "loss": 0.9399, + "step": 5053 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018505236030476777, + "loss": 0.9138, + "step": 5054 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018504657368755226, + "loss": 0.9509, + "step": 5055 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018504078604098973, + "loss": 0.977, + "step": 5056 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018503499736515023, + "loss": 0.9977, + "step": 5057 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018502920766010376, + "loss": 0.8667, + "step": 5058 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018502341692592044, + "loss": 0.839, + "step": 5059 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018501762516267038, + "loss": 1.0146, + "step": 5060 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018501183237042365, + "loss": 0.9511, + "step": 5061 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018500603854925036, + "loss": 0.9079, + "step": 5062 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018500024369922063, + "loss": 0.8824, + "step": 5063 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018499444782040466, + "loss": 1.0101, + "step": 5064 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018498865091287248, + "loss": 0.9796, + "step": 5065 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018498285297669433, + "loss": 0.903, + "step": 5066 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001849770540119404, + "loss": 1.0603, + "step": 5067 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018497125401868082, + "loss": 0.8697, + "step": 5068 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018496545299698583, + "loss": 0.8192, + "step": 5069 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018495965094692565, + "loss": 0.9444, + "step": 5070 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018495384786857045, + "loss": 0.8593, + "step": 5071 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018494804376199052, + "loss": 0.9285, + "step": 5072 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001849422386272561, + "loss": 0.8744, + "step": 5073 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018493643246443744, + "loss": 0.88, + "step": 5074 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018493062527360482, + "loss": 1.0427, + "step": 5075 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018492481705482852, + "loss": 0.965, + "step": 5076 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018491900780817882, + "loss": 0.9592, + "step": 5077 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018491319753372607, + "loss": 0.8366, + "step": 5078 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018490738623154056, + "loss": 1.0013, + "step": 5079 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018490157390169265, + "loss": 0.9054, + "step": 5080 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018489576054425268, + "loss": 0.8192, + "step": 5081 + }, + { + "epoch": 0.18, + "learning_rate": 0.000184889946159291, + "loss": 0.8872, + "step": 5082 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018488413074687802, + "loss": 1.0032, + "step": 5083 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001848783143070841, + "loss": 0.7284, + "step": 5084 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018487249683997963, + "loss": 0.9269, + "step": 5085 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018486667834563504, + "loss": 0.9688, + "step": 5086 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018486085882412072, + "loss": 0.9024, + "step": 5087 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018485503827550713, + "loss": 0.7986, + "step": 5088 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018484921669986474, + "loss": 0.9507, + "step": 5089 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018484339409726398, + "loss": 0.9697, + "step": 5090 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018483757046777532, + "loss": 1.0527, + "step": 5091 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018483174581146927, + "loss": 0.9102, + "step": 5092 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001848259201284163, + "loss": 0.7914, + "step": 5093 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018482009341868697, + "loss": 0.8953, + "step": 5094 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001848142656823517, + "loss": 0.9629, + "step": 5095 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018480843691948113, + "loss": 0.9563, + "step": 5096 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018480260713014577, + "loss": 0.9249, + "step": 5097 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001847967763144162, + "loss": 0.9015, + "step": 5098 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018479094447236292, + "loss": 0.9487, + "step": 5099 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001847851116040566, + "loss": 0.9248, + "step": 5100 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018477927770956779, + "loss": 0.9861, + "step": 5101 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001847734427889671, + "loss": 0.9399, + "step": 5102 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018476760684232518, + "loss": 0.882, + "step": 5103 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018476176986971266, + "loss": 0.9265, + "step": 5104 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018475593187120015, + "loss": 0.949, + "step": 5105 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018475009284685837, + "loss": 0.9342, + "step": 5106 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001847442527967579, + "loss": 1.0091, + "step": 5107 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018473841172096954, + "loss": 0.8778, + "step": 5108 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001847325696195639, + "loss": 1.0708, + "step": 5109 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018472672649261172, + "loss": 0.8983, + "step": 5110 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001847208823401837, + "loss": 0.8944, + "step": 5111 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001847150371623506, + "loss": 1.1054, + "step": 5112 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018470919095918314, + "loss": 0.9318, + "step": 5113 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018470334373075215, + "loss": 0.8798, + "step": 5114 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018469749547712832, + "loss": 0.8654, + "step": 5115 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018469164619838244, + "loss": 0.8897, + "step": 5116 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018468579589458534, + "loss": 0.9559, + "step": 5117 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018467994456580782, + "loss": 1.0848, + "step": 5118 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018467409221212068, + "loss": 0.9095, + "step": 5119 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018466823883359478, + "loss": 0.8872, + "step": 5120 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018466238443030095, + "loss": 1.155, + "step": 5121 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018465652900231003, + "loss": 0.859, + "step": 5122 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018465067254969296, + "loss": 0.902, + "step": 5123 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018464481507252055, + "loss": 0.9044, + "step": 5124 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001846389565708637, + "loss": 1.0646, + "step": 5125 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018463309704479334, + "loss": 0.9248, + "step": 5126 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018462723649438037, + "loss": 0.8546, + "step": 5127 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001846213749196958, + "loss": 0.9435, + "step": 5128 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018461551232081046, + "loss": 0.8878, + "step": 5129 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018460964869779537, + "loss": 0.9783, + "step": 5130 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001846037840507215, + "loss": 0.8421, + "step": 5131 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018459791837965978, + "loss": 1.0088, + "step": 5132 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001845920516846813, + "loss": 0.9185, + "step": 5133 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018458618396585696, + "loss": 1.1094, + "step": 5134 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018458031522325787, + "loss": 1.0847, + "step": 5135 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018457444545695503, + "loss": 1.0193, + "step": 5136 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018456857466701945, + "loss": 0.863, + "step": 5137 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018456270285352222, + "loss": 0.9436, + "step": 5138 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001845568300165344, + "loss": 0.9096, + "step": 5139 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018455095615612703, + "loss": 0.9409, + "step": 5140 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018454508127237128, + "loss": 0.868, + "step": 5141 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018453920536533824, + "loss": 0.8769, + "step": 5142 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018453332843509899, + "loss": 0.9462, + "step": 5143 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018452745048172465, + "loss": 0.9322, + "step": 5144 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018452157150528645, + "loss": 1.022, + "step": 5145 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018451569150585543, + "loss": 1.031, + "step": 5146 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018450981048350284, + "loss": 0.7803, + "step": 5147 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018450392843829985, + "loss": 0.8718, + "step": 5148 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018449804537031762, + "loss": 0.9287, + "step": 5149 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018449216127962737, + "loss": 0.9137, + "step": 5150 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018448627616630029, + "loss": 0.8911, + "step": 5151 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018448039003040768, + "loss": 0.8767, + "step": 5152 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018447450287202073, + "loss": 0.9711, + "step": 5153 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001844686146912107, + "loss": 0.9222, + "step": 5154 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018446272548804885, + "loss": 0.9077, + "step": 5155 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001844568352626065, + "loss": 0.9089, + "step": 5156 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001844509440149549, + "loss": 0.8461, + "step": 5157 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018444505174516532, + "loss": 0.8575, + "step": 5158 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018443915845330918, + "loss": 0.9461, + "step": 5159 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001844332641394577, + "loss": 0.8749, + "step": 5160 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001844273688036823, + "loss": 0.8661, + "step": 5161 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018442147244605427, + "loss": 0.8739, + "step": 5162 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018441557506664505, + "loss": 0.8035, + "step": 5163 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018440967666552596, + "loss": 0.8786, + "step": 5164 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001844037772427684, + "loss": 1.0201, + "step": 5165 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001843978767984438, + "loss": 0.9357, + "step": 5166 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018439197533262353, + "loss": 0.886, + "step": 5167 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018438607284537907, + "loss": 1.0229, + "step": 5168 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018438016933678179, + "loss": 0.7932, + "step": 5169 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018437426480690322, + "loss": 1.0298, + "step": 5170 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001843683592558148, + "loss": 0.8462, + "step": 5171 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018436245268358797, + "loss": 0.8438, + "step": 5172 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018435654509029424, + "loss": 0.8878, + "step": 5173 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018435063647600513, + "loss": 0.8983, + "step": 5174 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001843447268407921, + "loss": 0.7579, + "step": 5175 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018433881618472677, + "loss": 0.9989, + "step": 5176 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001843329045078806, + "loss": 0.9076, + "step": 5177 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018432699181032518, + "loss": 0.7813, + "step": 5178 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018432107809213206, + "loss": 0.8719, + "step": 5179 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001843151633533728, + "loss": 0.9092, + "step": 5180 + }, + { + "epoch": 0.18, + "learning_rate": 0.000184309247594119, + "loss": 0.9491, + "step": 5181 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018430333081444227, + "loss": 0.9523, + "step": 5182 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018429741301441421, + "loss": 0.8487, + "step": 5183 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018429149419410648, + "loss": 0.9761, + "step": 5184 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018428557435359064, + "loss": 0.9857, + "step": 5185 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018427965349293842, + "loss": 0.9857, + "step": 5186 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018427373161222145, + "loss": 0.9517, + "step": 5187 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018426780871151142, + "loss": 0.9014, + "step": 5188 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018426188479087998, + "loss": 1.039, + "step": 5189 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018425595985039885, + "loss": 0.9014, + "step": 5190 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018425003389013975, + "loss": 0.9736, + "step": 5191 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001842441069101744, + "loss": 1.0209, + "step": 5192 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018423817891057454, + "loss": 0.9801, + "step": 5193 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001842322498914119, + "loss": 0.8946, + "step": 5194 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018422631985275825, + "loss": 0.9727, + "step": 5195 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018422038879468535, + "loss": 1.0126, + "step": 5196 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018421445671726504, + "loss": 0.9202, + "step": 5197 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018420852362056905, + "loss": 0.894, + "step": 5198 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001842025895046692, + "loss": 1.0205, + "step": 5199 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018419665436963738, + "loss": 0.8258, + "step": 5200 + }, + { + "epoch": 0.18, + "eval_loss": 0.9124149084091187, + "eval_runtime": 850.6816, + "eval_samples_per_second": 28.283, + "eval_steps_per_second": 14.142, + "step": 5200 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018419071821554534, + "loss": 0.8546, + "step": 5201 + }, + { + "epoch": 0.18, + "learning_rate": 0.000184184781042465, + "loss": 1.007, + "step": 5202 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018417884285046817, + "loss": 0.9352, + "step": 5203 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018417290363962672, + "loss": 0.9328, + "step": 5204 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018416696341001253, + "loss": 0.9102, + "step": 5205 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018416102216169757, + "loss": 0.897, + "step": 5206 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018415507989475366, + "loss": 0.9325, + "step": 5207 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001841491366092528, + "loss": 0.9335, + "step": 5208 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018414319230526682, + "loss": 0.8695, + "step": 5209 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018413724698286777, + "loss": 0.8891, + "step": 5210 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018413130064212754, + "loss": 0.9424, + "step": 5211 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018412535328311814, + "loss": 0.7906, + "step": 5212 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018411940490591154, + "loss": 0.9037, + "step": 5213 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018411345551057969, + "loss": 0.9362, + "step": 5214 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018410750509719468, + "loss": 0.9024, + "step": 5215 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018410155366582848, + "loss": 1.0008, + "step": 5216 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018409560121655314, + "loss": 0.9844, + "step": 5217 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001840896477494407, + "loss": 0.7814, + "step": 5218 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001840836932645632, + "loss": 0.8492, + "step": 5219 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018407773776199274, + "loss": 0.9626, + "step": 5220 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018407178124180135, + "loss": 1.0041, + "step": 5221 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001840658237040612, + "loss": 0.9342, + "step": 5222 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018405986514884434, + "loss": 0.7876, + "step": 5223 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001840539055762229, + "loss": 1.0233, + "step": 5224 + }, + { + "epoch": 0.18, + "learning_rate": 0.000184047944986269, + "loss": 0.8357, + "step": 5225 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001840419833790548, + "loss": 0.8691, + "step": 5226 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018403602075465244, + "loss": 1.06, + "step": 5227 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001840300571131341, + "loss": 0.9024, + "step": 5228 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018402409245457202, + "loss": 0.815, + "step": 5229 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018401812677903826, + "loss": 0.8902, + "step": 5230 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018401216008660513, + "loss": 0.9936, + "step": 5231 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001840061923773448, + "loss": 0.9709, + "step": 5232 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018400022365132955, + "loss": 0.8802, + "step": 5233 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018399425390863155, + "loss": 0.873, + "step": 5234 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018398828314932305, + "loss": 0.9463, + "step": 5235 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001839823113734764, + "loss": 0.7919, + "step": 5236 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018397633858116384, + "loss": 1.0016, + "step": 5237 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018397036477245762, + "loss": 0.9528, + "step": 5238 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001839643899474301, + "loss": 0.8344, + "step": 5239 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018395841410615352, + "loss": 0.9042, + "step": 5240 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018395243724870033, + "loss": 0.8819, + "step": 5241 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018394645937514276, + "loss": 0.955, + "step": 5242 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001839404804855532, + "loss": 0.9498, + "step": 5243 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018393450058000403, + "loss": 0.93, + "step": 5244 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018392851965856762, + "loss": 0.7399, + "step": 5245 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001839225377213163, + "loss": 0.9828, + "step": 5246 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018391655476832257, + "loss": 0.7762, + "step": 5247 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018391057079965875, + "loss": 0.8717, + "step": 5248 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001839045858153974, + "loss": 0.8369, + "step": 5249 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018389859981561077, + "loss": 0.8239, + "step": 5250 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018389261280037146, + "loss": 0.7141, + "step": 5251 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001838866247697519, + "loss": 0.8875, + "step": 5252 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001838806357238245, + "loss": 0.9077, + "step": 5253 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018387464566266184, + "loss": 0.978, + "step": 5254 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018386865458633634, + "loss": 0.8174, + "step": 5255 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018386266249492057, + "loss": 0.8187, + "step": 5256 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018385666938848703, + "loss": 0.9888, + "step": 5257 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018385067526710823, + "loss": 0.8135, + "step": 5258 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018384468013085678, + "loss": 0.907, + "step": 5259 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001838386839798052, + "loss": 0.8704, + "step": 5260 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018383268681402607, + "loss": 0.8859, + "step": 5261 + }, + { + "epoch": 0.18, + "learning_rate": 0.000183826688633592, + "loss": 0.9141, + "step": 5262 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018382068943857552, + "loss": 0.8527, + "step": 5263 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018381468922904932, + "loss": 0.9306, + "step": 5264 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018380868800508597, + "loss": 1.1486, + "step": 5265 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018380268576675813, + "loss": 0.7843, + "step": 5266 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018379668251413845, + "loss": 0.8891, + "step": 5267 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018379067824729955, + "loss": 0.9216, + "step": 5268 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018378467296631417, + "loss": 0.7999, + "step": 5269 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018377866667125493, + "loss": 0.8996, + "step": 5270 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018377265936219458, + "loss": 0.9794, + "step": 5271 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018376665103920576, + "loss": 1.0184, + "step": 5272 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018376064170236124, + "loss": 0.8341, + "step": 5273 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018375463135173375, + "loss": 0.8243, + "step": 5274 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018374861998739602, + "loss": 0.8888, + "step": 5275 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018374260760942087, + "loss": 0.9581, + "step": 5276 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018373659421788095, + "loss": 0.9553, + "step": 5277 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018373057981284913, + "loss": 0.8866, + "step": 5278 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001837245643943982, + "loss": 0.9081, + "step": 5279 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018371854796260092, + "loss": 0.9216, + "step": 5280 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018371253051753015, + "loss": 0.9328, + "step": 5281 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018370651205925872, + "loss": 0.9197, + "step": 5282 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018370049258785944, + "loss": 0.8961, + "step": 5283 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001836944721034052, + "loss": 0.9182, + "step": 5284 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018368845060596887, + "loss": 0.8341, + "step": 5285 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001836824280956233, + "loss": 1.041, + "step": 5286 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001836764045724414, + "loss": 0.9912, + "step": 5287 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018367038003649607, + "loss": 1.0606, + "step": 5288 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018366435448786023, + "loss": 0.993, + "step": 5289 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018365832792660683, + "loss": 0.7631, + "step": 5290 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018365230035280878, + "loss": 0.9282, + "step": 5291 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018364627176653902, + "loss": 0.9118, + "step": 5292 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018364024216787058, + "loss": 0.8949, + "step": 5293 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018363421155687638, + "loss": 0.9582, + "step": 5294 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018362817993362944, + "loss": 0.8854, + "step": 5295 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018362214729820275, + "loss": 0.9356, + "step": 5296 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018361611365066933, + "loss": 0.9592, + "step": 5297 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001836100789911022, + "loss": 0.9675, + "step": 5298 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018360404331957438, + "loss": 0.9098, + "step": 5299 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018359800663615897, + "loss": 0.7973, + "step": 5300 + }, + { + "epoch": 0.19, + "learning_rate": 0.000183591968940929, + "loss": 1.0094, + "step": 5301 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018358593023395757, + "loss": 0.9039, + "step": 5302 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018357989051531775, + "loss": 0.8987, + "step": 5303 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018357384978508266, + "loss": 0.905, + "step": 5304 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018356780804332535, + "loss": 0.8152, + "step": 5305 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018356176529011904, + "loss": 0.9327, + "step": 5306 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018355572152553681, + "loss": 0.8407, + "step": 5307 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018354967674965182, + "loss": 0.9301, + "step": 5308 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018354363096253722, + "loss": 0.9479, + "step": 5309 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001835375841642662, + "loss": 0.8751, + "step": 5310 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018353153635491197, + "loss": 0.864, + "step": 5311 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018352548753454767, + "loss": 0.7949, + "step": 5312 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018351943770324655, + "loss": 0.8207, + "step": 5313 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018351338686108183, + "loss": 0.9128, + "step": 5314 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018350733500812675, + "loss": 0.8046, + "step": 5315 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018350128214445453, + "loss": 1.0392, + "step": 5316 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018349522827013849, + "loss": 0.8948, + "step": 5317 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018348917338525183, + "loss": 0.9132, + "step": 5318 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018348311748986787, + "loss": 0.8715, + "step": 5319 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018347706058405988, + "loss": 0.9139, + "step": 5320 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001834710026679012, + "loss": 0.9285, + "step": 5321 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018346494374146515, + "loss": 0.9541, + "step": 5322 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018345888380482506, + "loss": 0.8796, + "step": 5323 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018345282285805428, + "loss": 0.8976, + "step": 5324 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018344676090122612, + "loss": 0.8949, + "step": 5325 + }, + { + "epoch": 0.19, + "learning_rate": 0.000183440697934414, + "loss": 1.0599, + "step": 5326 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018343463395769128, + "loss": 0.9618, + "step": 5327 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001834285689711314, + "loss": 0.9201, + "step": 5328 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018342250297480772, + "loss": 0.8956, + "step": 5329 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018341643596879367, + "loss": 0.8572, + "step": 5330 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018341036795316266, + "loss": 1.006, + "step": 5331 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018340429892798818, + "loss": 0.954, + "step": 5332 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001833982288933436, + "loss": 0.8352, + "step": 5333 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018339215784930253, + "loss": 0.7926, + "step": 5334 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018338608579593832, + "loss": 0.9511, + "step": 5335 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001833800127333245, + "loss": 0.8257, + "step": 5336 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018337393866153462, + "loss": 0.9142, + "step": 5337 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018336786358064212, + "loss": 0.9392, + "step": 5338 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001833617874907206, + "loss": 0.7906, + "step": 5339 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018335571039184356, + "loss": 0.9095, + "step": 5340 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018334963228408454, + "loss": 0.7985, + "step": 5341 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018334355316751717, + "loss": 0.8399, + "step": 5342 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018333747304221493, + "loss": 0.9221, + "step": 5343 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001833313919082515, + "loss": 0.8446, + "step": 5344 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018332530976570045, + "loss": 0.7549, + "step": 5345 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018331922661463538, + "loss": 0.8845, + "step": 5346 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018331314245512994, + "loss": 0.9056, + "step": 5347 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018330705728725774, + "loss": 0.9228, + "step": 5348 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018330097111109246, + "loss": 0.9489, + "step": 5349 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018329488392670773, + "loss": 0.8475, + "step": 5350 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018328879573417726, + "loss": 0.891, + "step": 5351 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001832827065335747, + "loss": 1.0309, + "step": 5352 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018327661632497382, + "loss": 0.8981, + "step": 5353 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018327052510844823, + "loss": 0.8925, + "step": 5354 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018326443288407175, + "loss": 0.8703, + "step": 5355 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018325833965191808, + "loss": 0.9412, + "step": 5356 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001832522454120609, + "loss": 0.9425, + "step": 5357 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001832461501645741, + "loss": 0.9775, + "step": 5358 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018324005390953137, + "loss": 0.8827, + "step": 5359 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001832339566470065, + "loss": 0.8956, + "step": 5360 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001832278583770733, + "loss": 0.8488, + "step": 5361 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001832217590998056, + "loss": 0.8231, + "step": 5362 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018321565881527715, + "loss": 1.0282, + "step": 5363 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018320955752356186, + "loss": 0.9079, + "step": 5364 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018320345522473356, + "loss": 0.9329, + "step": 5365 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018319735191886608, + "loss": 1.0685, + "step": 5366 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018319124760603333, + "loss": 0.9221, + "step": 5367 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018318514228630916, + "loss": 0.7715, + "step": 5368 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018317903595976747, + "loss": 0.688, + "step": 5369 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018317292862648213, + "loss": 0.8857, + "step": 5370 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001831668202865272, + "loss": 0.9736, + "step": 5371 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018316071093997643, + "loss": 0.8532, + "step": 5372 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018315460058690385, + "loss": 0.8896, + "step": 5373 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018314848922738346, + "loss": 0.9503, + "step": 5374 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018314237686148913, + "loss": 0.8637, + "step": 5375 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018313626348929495, + "loss": 0.8502, + "step": 5376 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001831301491108748, + "loss": 0.792, + "step": 5377 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001831240337263027, + "loss": 0.9569, + "step": 5378 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018311791733565275, + "loss": 0.8694, + "step": 5379 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018311179993899893, + "loss": 0.7832, + "step": 5380 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001831056815364153, + "loss": 0.9121, + "step": 5381 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018309956212797588, + "loss": 0.773, + "step": 5382 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018309344171375474, + "loss": 0.8741, + "step": 5383 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018308732029382596, + "loss": 0.8675, + "step": 5384 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018308119786826366, + "loss": 0.9131, + "step": 5385 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001830750744371419, + "loss": 0.9246, + "step": 5386 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018306895000053483, + "loss": 0.8092, + "step": 5387 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018306282455851655, + "loss": 0.8884, + "step": 5388 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001830566981111612, + "loss": 1.0288, + "step": 5389 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018305057065854297, + "loss": 0.8366, + "step": 5390 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018304444220073595, + "loss": 0.939, + "step": 5391 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018303831273781438, + "loss": 0.9871, + "step": 5392 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018303218226985241, + "loss": 0.8718, + "step": 5393 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018302605079692426, + "loss": 0.9341, + "step": 5394 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001830199183191041, + "loss": 0.8805, + "step": 5395 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018301378483646623, + "loss": 0.8352, + "step": 5396 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001830076503490848, + "loss": 0.9105, + "step": 5397 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018300151485703414, + "loss": 0.9487, + "step": 5398 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018299537836038846, + "loss": 0.7758, + "step": 5399 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018298924085922202, + "loss": 0.8038, + "step": 5400 + }, + { + "epoch": 0.19, + "eval_loss": 0.899122416973114, + "eval_runtime": 849.7173, + "eval_samples_per_second": 28.315, + "eval_steps_per_second": 14.158, + "step": 5400 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018298310235360913, + "loss": 0.9836, + "step": 5401 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001829769628436241, + "loss": 0.9046, + "step": 5402 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001829708223293412, + "loss": 0.8172, + "step": 5403 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018296468081083477, + "loss": 0.9437, + "step": 5404 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018295853828817916, + "loss": 1.0201, + "step": 5405 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001829523947614487, + "loss": 0.9644, + "step": 5406 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018294625023071773, + "loss": 0.8125, + "step": 5407 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018294010469606064, + "loss": 0.9892, + "step": 5408 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001829339581575518, + "loss": 0.8811, + "step": 5409 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001829278106152656, + "loss": 0.9135, + "step": 5410 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001829216620692765, + "loss": 0.9742, + "step": 5411 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018291551251965884, + "loss": 0.7894, + "step": 5412 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001829093619664871, + "loss": 0.942, + "step": 5413 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018290321040983568, + "loss": 0.9459, + "step": 5414 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001828970578497791, + "loss": 0.8961, + "step": 5415 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018289090428639173, + "loss": 0.8094, + "step": 5416 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018288474971974816, + "loss": 0.8863, + "step": 5417 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001828785941499228, + "loss": 0.9483, + "step": 5418 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018287243757699018, + "loss": 0.9709, + "step": 5419 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018286628000102484, + "loss": 0.8196, + "step": 5420 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018286012142210124, + "loss": 0.8417, + "step": 5421 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018285396184029398, + "loss": 0.9253, + "step": 5422 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001828478012556776, + "loss": 0.7629, + "step": 5423 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018284163966832666, + "loss": 0.8006, + "step": 5424 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001828354770783157, + "loss": 1.0519, + "step": 5425 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018282931348571936, + "loss": 0.8797, + "step": 5426 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018282314889061225, + "loss": 0.9017, + "step": 5427 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018281698329306888, + "loss": 0.9655, + "step": 5428 + }, + { + "epoch": 0.19, + "learning_rate": 0.000182810816693164, + "loss": 0.7547, + "step": 5429 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001828046490909722, + "loss": 0.8868, + "step": 5430 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001827984804865681, + "loss": 0.8489, + "step": 5431 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018279231088002637, + "loss": 0.9692, + "step": 5432 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018278614027142172, + "loss": 0.8963, + "step": 5433 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001827799686608288, + "loss": 0.8391, + "step": 5434 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018277379604832226, + "loss": 0.8663, + "step": 5435 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018276762243397694, + "loss": 0.9649, + "step": 5436 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018276144781786746, + "loss": 0.8383, + "step": 5437 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018275527220006858, + "loss": 0.8687, + "step": 5438 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018274909558065508, + "loss": 0.9568, + "step": 5439 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018274291795970164, + "loss": 0.8891, + "step": 5440 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001827367393372831, + "loss": 0.9934, + "step": 5441 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001827305597134742, + "loss": 0.8793, + "step": 5442 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018272437908834974, + "loss": 0.8411, + "step": 5443 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018271819746198454, + "loss": 0.9624, + "step": 5444 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018271201483445343, + "loss": 0.8955, + "step": 5445 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018270583120583124, + "loss": 0.9034, + "step": 5446 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018269964657619274, + "loss": 0.9382, + "step": 5447 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001826934609456129, + "loss": 0.8468, + "step": 5448 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018268727431416647, + "loss": 1.0533, + "step": 5449 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018268108668192842, + "loss": 0.9253, + "step": 5450 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018267489804897358, + "loss": 0.8867, + "step": 5451 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018266870841537693, + "loss": 0.8714, + "step": 5452 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001826625177812133, + "loss": 0.9681, + "step": 5453 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001826563261465577, + "loss": 0.8807, + "step": 5454 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018265013351148496, + "loss": 0.9564, + "step": 5455 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018264393987607014, + "loss": 0.9054, + "step": 5456 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018263774524038815, + "loss": 0.8398, + "step": 5457 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018263154960451394, + "loss": 0.873, + "step": 5458 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018262535296852258, + "loss": 0.9424, + "step": 5459 + }, + { + "epoch": 0.19, + "learning_rate": 0.000182619155332489, + "loss": 0.8369, + "step": 5460 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018261295669648822, + "loss": 0.8855, + "step": 5461 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001826067570605953, + "loss": 0.8199, + "step": 5462 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018260055642488525, + "loss": 0.9115, + "step": 5463 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001825943547894331, + "loss": 0.9044, + "step": 5464 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018258815215431396, + "loss": 0.8973, + "step": 5465 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018258194851960286, + "loss": 0.9324, + "step": 5466 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001825757438853749, + "loss": 0.8681, + "step": 5467 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001825695382517052, + "loss": 0.856, + "step": 5468 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018256333161866884, + "loss": 0.7745, + "step": 5469 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001825571239863409, + "loss": 0.9477, + "step": 5470 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001825509153547966, + "loss": 0.8584, + "step": 5471 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018254470572411105, + "loss": 0.8619, + "step": 5472 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018253849509435938, + "loss": 0.9325, + "step": 5473 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001825322834656168, + "loss": 0.8828, + "step": 5474 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018252607083795846, + "loss": 0.9007, + "step": 5475 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018251985721145958, + "loss": 0.9559, + "step": 5476 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018251364258619533, + "loss": 0.8992, + "step": 5477 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018250742696224097, + "loss": 0.9248, + "step": 5478 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001825012103396717, + "loss": 0.9545, + "step": 5479 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018249499271856277, + "loss": 0.8965, + "step": 5480 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018248877409898944, + "loss": 0.8511, + "step": 5481 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018248255448102696, + "loss": 0.8674, + "step": 5482 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018247633386475064, + "loss": 0.742, + "step": 5483 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018247011225023572, + "loss": 0.8128, + "step": 5484 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018246388963755758, + "loss": 0.8729, + "step": 5485 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018245766602679146, + "loss": 0.9479, + "step": 5486 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001824514414180127, + "loss": 0.9471, + "step": 5487 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018244521581129667, + "loss": 0.7771, + "step": 5488 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001824389892067187, + "loss": 0.8886, + "step": 5489 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018243276160435413, + "loss": 1.0274, + "step": 5490 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001824265330042784, + "loss": 0.9936, + "step": 5491 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001824203034065668, + "loss": 0.8406, + "step": 5492 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001824140728112948, + "loss": 0.8956, + "step": 5493 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018240784121853785, + "loss": 0.9343, + "step": 5494 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018240160862837126, + "loss": 0.8308, + "step": 5495 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018239537504087053, + "loss": 0.8675, + "step": 5496 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018238914045611116, + "loss": 0.8315, + "step": 5497 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001823829048741685, + "loss": 0.8052, + "step": 5498 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018237666829511805, + "loss": 0.8987, + "step": 5499 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018237043071903534, + "loss": 0.812, + "step": 5500 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018236419214599586, + "loss": 0.8841, + "step": 5501 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018235795257607508, + "loss": 0.8221, + "step": 5502 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018235171200934854, + "loss": 0.929, + "step": 5503 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018234547044589176, + "loss": 0.8337, + "step": 5504 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018233922788578032, + "loss": 0.9436, + "step": 5505 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018233298432908973, + "loss": 0.8612, + "step": 5506 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018232673977589556, + "loss": 0.9478, + "step": 5507 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001823204942262734, + "loss": 0.927, + "step": 5508 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001823142476802989, + "loss": 0.8585, + "step": 5509 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001823080001380476, + "loss": 1.0036, + "step": 5510 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018230175159959512, + "loss": 0.8076, + "step": 5511 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001822955020650171, + "loss": 0.8486, + "step": 5512 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018228925153438916, + "loss": 0.9984, + "step": 5513 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018228300000778695, + "loss": 0.9664, + "step": 5514 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001822767474852862, + "loss": 0.7827, + "step": 5515 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018227049396696252, + "loss": 1.0872, + "step": 5516 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001822642394528916, + "loss": 0.8793, + "step": 5517 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018225798394314922, + "loss": 0.8649, + "step": 5518 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018225172743781097, + "loss": 0.9127, + "step": 5519 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018224546993695265, + "loss": 0.9131, + "step": 5520 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018223921144064998, + "loss": 0.9312, + "step": 5521 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018223295194897874, + "loss": 0.896, + "step": 5522 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018222669146201464, + "loss": 0.9066, + "step": 5523 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018222042997983348, + "loss": 0.7336, + "step": 5524 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018221416750251103, + "loss": 0.7888, + "step": 5525 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001822079040301231, + "loss": 0.891, + "step": 5526 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001822016395627455, + "loss": 0.9088, + "step": 5527 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018219537410045405, + "loss": 0.8895, + "step": 5528 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018218910764332457, + "loss": 0.9841, + "step": 5529 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018218284019143292, + "loss": 0.8869, + "step": 5530 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018217657174485495, + "loss": 0.9891, + "step": 5531 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018217030230366653, + "loss": 0.8869, + "step": 5532 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018216403186794352, + "loss": 0.8907, + "step": 5533 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018215776043776187, + "loss": 0.8172, + "step": 5534 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018215148801319742, + "loss": 0.8386, + "step": 5535 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018214521459432615, + "loss": 0.7674, + "step": 5536 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018213894018122395, + "loss": 0.9008, + "step": 5537 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018213266477396675, + "loss": 0.8625, + "step": 5538 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001821263883726305, + "loss": 0.9909, + "step": 5539 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018212011097729124, + "loss": 0.7962, + "step": 5540 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018211383258802486, + "loss": 0.9063, + "step": 5541 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001821075532049074, + "loss": 0.7959, + "step": 5542 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018210127282801484, + "loss": 0.8746, + "step": 5543 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018209499145742318, + "loss": 0.9035, + "step": 5544 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001820887090932085, + "loss": 0.9045, + "step": 5545 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018208242573544676, + "loss": 0.83, + "step": 5546 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018207614138421408, + "loss": 0.9046, + "step": 5547 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018206985603958647, + "loss": 0.9445, + "step": 5548 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018206356970164005, + "loss": 0.8474, + "step": 5549 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018205728237045087, + "loss": 0.8553, + "step": 5550 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018205099404609504, + "loss": 0.8901, + "step": 5551 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001820447047286487, + "loss": 0.896, + "step": 5552 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018203841441818787, + "loss": 0.8978, + "step": 5553 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001820321231147888, + "loss": 1.1079, + "step": 5554 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001820258308185276, + "loss": 0.8314, + "step": 5555 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018201953752948043, + "loss": 0.8897, + "step": 5556 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001820132432477234, + "loss": 0.8185, + "step": 5557 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018200694797333275, + "loss": 0.8066, + "step": 5558 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018200065170638466, + "loss": 0.8868, + "step": 5559 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001819943544469554, + "loss": 0.8155, + "step": 5560 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018198805619512107, + "loss": 0.9196, + "step": 5561 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018198175695095797, + "loss": 0.9261, + "step": 5562 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018197545671454232, + "loss": 0.8924, + "step": 5563 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001819691554859504, + "loss": 0.8677, + "step": 5564 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018196285326525845, + "loss": 0.8779, + "step": 5565 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018195655005254273, + "loss": 0.7575, + "step": 5566 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018195024584787957, + "loss": 0.9815, + "step": 5567 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018194394065134528, + "loss": 0.8904, + "step": 5568 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018193763446301616, + "loss": 0.984, + "step": 5569 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001819313272829685, + "loss": 1.0031, + "step": 5570 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018192501911127868, + "loss": 0.9291, + "step": 5571 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018191870994802302, + "loss": 0.9262, + "step": 5572 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001819123997932779, + "loss": 0.9029, + "step": 5573 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018190608864711974, + "loss": 0.8847, + "step": 5574 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018189977650962482, + "loss": 0.7796, + "step": 5575 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018189346338086962, + "loss": 0.81, + "step": 5576 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001818871492609305, + "loss": 0.9532, + "step": 5577 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018188083414988392, + "loss": 0.9963, + "step": 5578 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018187451804780634, + "loss": 0.8572, + "step": 5579 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018186820095477413, + "loss": 0.8624, + "step": 5580 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018186188287086378, + "loss": 0.9649, + "step": 5581 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018185556379615177, + "loss": 0.8248, + "step": 5582 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018184924373071458, + "loss": 0.8575, + "step": 5583 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018184292267462872, + "loss": 1.0309, + "step": 5584 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018183660062797064, + "loss": 0.8314, + "step": 5585 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001818302775908169, + "loss": 0.9859, + "step": 5586 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018182395356324406, + "loss": 0.8554, + "step": 5587 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018181762854532858, + "loss": 0.8087, + "step": 5588 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001818113025371471, + "loss": 0.8157, + "step": 5589 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001818049755387761, + "loss": 0.9532, + "step": 5590 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018179864755029225, + "loss": 0.9486, + "step": 5591 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018179231857177208, + "loss": 0.9124, + "step": 5592 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001817859886032922, + "loss": 0.9266, + "step": 5593 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018177965764492923, + "loss": 0.8231, + "step": 5594 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018177332569675977, + "loss": 0.9301, + "step": 5595 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001817669927588605, + "loss": 0.9619, + "step": 5596 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018176065883130805, + "loss": 0.8332, + "step": 5597 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001817543239141791, + "loss": 0.9574, + "step": 5598 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001817479880075503, + "loss": 0.8777, + "step": 5599 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018174165111149832, + "loss": 0.9663, + "step": 5600 + }, + { + "epoch": 0.2, + "eval_loss": 0.8840734362602234, + "eval_runtime": 851.4939, + "eval_samples_per_second": 28.256, + "eval_steps_per_second": 14.128, + "step": 5600 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018173531322609988, + "loss": 0.8092, + "step": 5601 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018172897435143174, + "loss": 0.7464, + "step": 5602 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018172263448757052, + "loss": 0.7903, + "step": 5603 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018171629363459302, + "loss": 0.9113, + "step": 5604 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018170995179257597, + "loss": 0.8363, + "step": 5605 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018170360896159612, + "loss": 0.9035, + "step": 5606 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018169726514173027, + "loss": 0.9214, + "step": 5607 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018169092033305516, + "loss": 0.791, + "step": 5608 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001816845745356476, + "loss": 0.9478, + "step": 5609 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018167822774958441, + "loss": 1.0116, + "step": 5610 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018167187997494236, + "loss": 0.78, + "step": 5611 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018166553121179833, + "loss": 0.9903, + "step": 5612 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018165918146022917, + "loss": 0.9654, + "step": 5613 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018165283072031166, + "loss": 0.8953, + "step": 5614 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018164647899212278, + "loss": 1.0039, + "step": 5615 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018164012627573927, + "loss": 0.9747, + "step": 5616 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018163377257123813, + "loss": 0.8614, + "step": 5617 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001816274178786962, + "loss": 0.8371, + "step": 5618 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018162106219819045, + "loss": 0.8866, + "step": 5619 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018161470552979772, + "loss": 0.7844, + "step": 5620 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018160834787359502, + "loss": 0.8127, + "step": 5621 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018160198922965925, + "loss": 0.7473, + "step": 5622 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018159562959806745, + "loss": 0.7972, + "step": 5623 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001815892689788965, + "loss": 0.862, + "step": 5624 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001815829073722234, + "loss": 0.7944, + "step": 5625 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001815765447781252, + "loss": 0.9376, + "step": 5626 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018157018119667885, + "loss": 0.936, + "step": 5627 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018156381662796142, + "loss": 0.8902, + "step": 5628 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001815574510720499, + "loss": 0.773, + "step": 5629 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018155108452902138, + "loss": 0.7892, + "step": 5630 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018154471699895287, + "loss": 0.9428, + "step": 5631 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018153834848192148, + "loss": 0.8856, + "step": 5632 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018153197897800423, + "loss": 0.9663, + "step": 5633 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001815256084872783, + "loss": 0.8706, + "step": 5634 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018151923700982075, + "loss": 0.8866, + "step": 5635 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018151286454570864, + "loss": 0.8605, + "step": 5636 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018150649109501918, + "loss": 0.8129, + "step": 5637 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001815001166578295, + "loss": 1.0007, + "step": 5638 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018149374123421668, + "loss": 0.874, + "step": 5639 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018148736482425797, + "loss": 0.8776, + "step": 5640 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001814809874280305, + "loss": 0.9111, + "step": 5641 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018147460904561146, + "loss": 0.8561, + "step": 5642 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001814682296770781, + "loss": 0.8547, + "step": 5643 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018146184932250754, + "loss": 0.8553, + "step": 5644 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001814554679819771, + "loss": 0.8903, + "step": 5645 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018144908565556394, + "loss": 0.8122, + "step": 5646 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018144270234334535, + "loss": 0.895, + "step": 5647 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018143631804539857, + "loss": 0.8782, + "step": 5648 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018142993276180086, + "loss": 0.8569, + "step": 5649 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018142354649262953, + "loss": 0.832, + "step": 5650 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018141715923796192, + "loss": 0.8547, + "step": 5651 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018141077099787523, + "loss": 0.8016, + "step": 5652 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018140438177244683, + "loss": 0.7601, + "step": 5653 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001813979915617541, + "loss": 0.9216, + "step": 5654 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018139160036587427, + "loss": 0.8546, + "step": 5655 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001813852081848848, + "loss": 0.9409, + "step": 5656 + }, + { + "epoch": 0.2, + "learning_rate": 0.000181378815018863, + "loss": 0.7942, + "step": 5657 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001813724208678863, + "loss": 0.7999, + "step": 5658 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018136602573203198, + "loss": 0.841, + "step": 5659 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001813596296113776, + "loss": 1.0006, + "step": 5660 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018135323250600047, + "loss": 0.9056, + "step": 5661 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018134683441597803, + "loss": 0.9448, + "step": 5662 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018134043534138772, + "loss": 0.7664, + "step": 5663 + }, + { + "epoch": 0.2, + "learning_rate": 0.000181334035282307, + "loss": 0.931, + "step": 5664 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018132763423881336, + "loss": 0.8539, + "step": 5665 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001813212322109842, + "loss": 0.9378, + "step": 5666 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001813148291988971, + "loss": 0.933, + "step": 5667 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001813084252026295, + "loss": 0.9238, + "step": 5668 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001813020202222589, + "loss": 0.8028, + "step": 5669 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018129561425786283, + "loss": 0.9385, + "step": 5670 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018128920730951884, + "loss": 0.9579, + "step": 5671 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018128279937730445, + "loss": 0.877, + "step": 5672 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018127639046129726, + "loss": 0.8354, + "step": 5673 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018126998056157482, + "loss": 0.7487, + "step": 5674 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001812635696782147, + "loss": 0.9987, + "step": 5675 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018125715781129448, + "loss": 0.875, + "step": 5676 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001812507449608918, + "loss": 0.8299, + "step": 5677 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018124433112708425, + "loss": 0.8475, + "step": 5678 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001812379163099495, + "loss": 0.8287, + "step": 5679 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018123150050956512, + "loss": 0.7749, + "step": 5680 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018122508372600882, + "loss": 0.8801, + "step": 5681 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018121866595935827, + "loss": 0.879, + "step": 5682 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001812122472096911, + "loss": 0.9046, + "step": 5683 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018120582747708502, + "loss": 0.8958, + "step": 5684 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001811994067616177, + "loss": 0.9232, + "step": 5685 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018119298506336695, + "loss": 0.8041, + "step": 5686 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001811865623824104, + "loss": 0.8678, + "step": 5687 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001811801387188258, + "loss": 0.9042, + "step": 5688 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018117371407269092, + "loss": 0.7886, + "step": 5689 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018116728844408351, + "loss": 1.0048, + "step": 5690 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018116086183308133, + "loss": 0.9407, + "step": 5691 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018115443423976222, + "loss": 0.8704, + "step": 5692 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018114800566420392, + "loss": 0.9065, + "step": 5693 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018114157610648422, + "loss": 0.9413, + "step": 5694 + }, + { + "epoch": 0.2, + "learning_rate": 0.000181135145566681, + "loss": 0.886, + "step": 5695 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018112871404487202, + "loss": 0.8162, + "step": 5696 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018112228154113516, + "loss": 0.8913, + "step": 5697 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018111584805554834, + "loss": 1.0159, + "step": 5698 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001811094135881893, + "loss": 0.8192, + "step": 5699 + }, + { + "epoch": 0.2, + "learning_rate": 0.000181102978139136, + "loss": 0.8689, + "step": 5700 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001810965417084663, + "loss": 0.9976, + "step": 5701 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018109010429625814, + "loss": 0.9037, + "step": 5702 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001810836659025894, + "loss": 0.8935, + "step": 5703 + }, + { + "epoch": 0.2, + "learning_rate": 0.000181077226527538, + "loss": 0.9209, + "step": 5704 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018107078617118192, + "loss": 0.9199, + "step": 5705 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018106434483359905, + "loss": 0.9451, + "step": 5706 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001810579025148674, + "loss": 0.8549, + "step": 5707 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018105145921506493, + "loss": 0.9369, + "step": 5708 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001810450149342696, + "loss": 0.8135, + "step": 5709 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018103856967255946, + "loss": 0.8748, + "step": 5710 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001810321234300125, + "loss": 0.8342, + "step": 5711 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018102567620670667, + "loss": 0.8916, + "step": 5712 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001810192280027201, + "loss": 1.0143, + "step": 5713 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001810127788181308, + "loss": 0.758, + "step": 5714 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001810063286530168, + "loss": 0.7993, + "step": 5715 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001809998775074562, + "loss": 0.8589, + "step": 5716 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018099342538152713, + "loss": 0.8219, + "step": 5717 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018098697227530755, + "loss": 0.7828, + "step": 5718 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001809805181888757, + "loss": 0.897, + "step": 5719 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001809740631223096, + "loss": 0.9111, + "step": 5720 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018096760707568744, + "loss": 0.8776, + "step": 5721 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001809611500490873, + "loss": 0.7717, + "step": 5722 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018095469204258737, + "loss": 0.8534, + "step": 5723 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018094823305626583, + "loss": 0.8452, + "step": 5724 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018094177309020083, + "loss": 0.8393, + "step": 5725 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018093531214447052, + "loss": 0.9796, + "step": 5726 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018092885021915315, + "loss": 0.7358, + "step": 5727 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018092238731432696, + "loss": 0.906, + "step": 5728 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018091592343007012, + "loss": 1.0549, + "step": 5729 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018090945856646083, + "loss": 0.8178, + "step": 5730 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018090299272357745, + "loss": 0.9351, + "step": 5731 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018089652590149813, + "loss": 0.8646, + "step": 5732 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001808900581003012, + "loss": 0.9185, + "step": 5733 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018088358932006493, + "loss": 0.9723, + "step": 5734 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001808771195608676, + "loss": 0.8585, + "step": 5735 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001808706488227875, + "loss": 0.8899, + "step": 5736 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018086417710590303, + "loss": 0.9007, + "step": 5737 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001808577044102924, + "loss": 0.7464, + "step": 5738 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018085123073603403, + "loss": 0.9993, + "step": 5739 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018084475608320626, + "loss": 0.8992, + "step": 5740 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018083828045188747, + "loss": 0.983, + "step": 5741 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018083180384215596, + "loss": 0.7752, + "step": 5742 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018082532625409022, + "loss": 0.8704, + "step": 5743 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001808188476877686, + "loss": 0.8522, + "step": 5744 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001808123681432695, + "loss": 0.8586, + "step": 5745 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018080588762067138, + "loss": 0.8671, + "step": 5746 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018079940612005264, + "loss": 0.9641, + "step": 5747 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018079292364149175, + "loss": 0.8975, + "step": 5748 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001807864401850672, + "loss": 0.848, + "step": 5749 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001807799557508574, + "loss": 0.9571, + "step": 5750 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018077347033894082, + "loss": 0.9171, + "step": 5751 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018076698394939604, + "loss": 0.8614, + "step": 5752 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001807604965823015, + "loss": 0.9383, + "step": 5753 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018075400823773578, + "loss": 0.9193, + "step": 5754 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018074751891577733, + "loss": 1.0384, + "step": 5755 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018074102861650475, + "loss": 0.722, + "step": 5756 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001807345373399966, + "loss": 0.891, + "step": 5757 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018072804508633138, + "loss": 0.9097, + "step": 5758 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001807215518555877, + "loss": 0.8858, + "step": 5759 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001807150576478442, + "loss": 0.906, + "step": 5760 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018070856246317943, + "loss": 1.0141, + "step": 5761 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018070206630167203, + "loss": 0.8753, + "step": 5762 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001806955691634006, + "loss": 0.835, + "step": 5763 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001806890710484438, + "loss": 0.9788, + "step": 5764 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018068257195688026, + "loss": 0.8399, + "step": 5765 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018067607188878863, + "loss": 0.9498, + "step": 5766 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018066957084424763, + "loss": 0.8218, + "step": 5767 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001806630688233359, + "loss": 0.9156, + "step": 5768 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018065656582613216, + "loss": 0.9482, + "step": 5769 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018065006185271506, + "loss": 0.8629, + "step": 5770 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018064355690316345, + "loss": 1.0716, + "step": 5771 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018063705097755593, + "loss": 0.843, + "step": 5772 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001806305440759713, + "loss": 0.8487, + "step": 5773 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001806240361984883, + "loss": 0.9182, + "step": 5774 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018061752734518574, + "loss": 0.9442, + "step": 5775 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001806110175161423, + "loss": 0.9108, + "step": 5776 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001806045067114369, + "loss": 0.7547, + "step": 5777 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018059799493114827, + "loss": 0.9648, + "step": 5778 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001805914821753552, + "loss": 0.837, + "step": 5779 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018058496844413656, + "loss": 0.9964, + "step": 5780 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018057845373757117, + "loss": 0.8578, + "step": 5781 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001805719380557379, + "loss": 0.9415, + "step": 5782 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001805654213987156, + "loss": 0.8792, + "step": 5783 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018055890376658313, + "loss": 0.8345, + "step": 5784 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001805523851594194, + "loss": 1.0178, + "step": 5785 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018054586557730327, + "loss": 0.917, + "step": 5786 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018053934502031368, + "loss": 0.8679, + "step": 5787 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018053282348852955, + "loss": 0.9329, + "step": 5788 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001805263009820298, + "loss": 0.8404, + "step": 5789 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018051977750089336, + "loss": 0.9729, + "step": 5790 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018051325304519923, + "loss": 0.811, + "step": 5791 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018050672761502635, + "loss": 0.8547, + "step": 5792 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001805002012104537, + "loss": 0.9225, + "step": 5793 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018049367383156026, + "loss": 0.9105, + "step": 5794 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018048714547842502, + "loss": 0.8136, + "step": 5795 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001804806161511271, + "loss": 0.9792, + "step": 5796 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018047408584974536, + "loss": 0.9089, + "step": 5797 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018046755457435895, + "loss": 1.0294, + "step": 5798 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001804610223250469, + "loss": 0.9273, + "step": 5799 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018045448910188828, + "loss": 0.7214, + "step": 5800 + }, + { + "epoch": 0.2, + "eval_loss": 0.8726089596748352, + "eval_runtime": 848.972, + "eval_samples_per_second": 28.34, + "eval_steps_per_second": 14.17, + "step": 5800 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018044795490496213, + "loss": 0.8847, + "step": 5801 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018044141973434758, + "loss": 0.8943, + "step": 5802 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001804348835901237, + "loss": 0.8297, + "step": 5803 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001804283464723696, + "loss": 0.7658, + "step": 5804 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001804218083811644, + "loss": 0.839, + "step": 5805 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018041526931658722, + "loss": 0.9348, + "step": 5806 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018040872927871723, + "loss": 0.8186, + "step": 5807 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018040218826763358, + "loss": 1.0253, + "step": 5808 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018039564628341545, + "loss": 0.8271, + "step": 5809 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018038910332614198, + "loss": 0.9569, + "step": 5810 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001803825593958924, + "loss": 0.9408, + "step": 5811 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001803760144927459, + "loss": 0.7387, + "step": 5812 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001803694686167817, + "loss": 0.8481, + "step": 5813 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018036292176807904, + "loss": 0.9052, + "step": 5814 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001803563739467171, + "loss": 0.8271, + "step": 5815 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001803498251527752, + "loss": 0.8052, + "step": 5816 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018034327538633254, + "loss": 0.8411, + "step": 5817 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018033672464746846, + "loss": 1.0407, + "step": 5818 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001803301729362622, + "loss": 0.8075, + "step": 5819 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018032362025279308, + "loss": 0.8919, + "step": 5820 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018031706659714042, + "loss": 0.9337, + "step": 5821 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018031051196938346, + "loss": 1.011, + "step": 5822 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018030395636960163, + "loss": 0.8032, + "step": 5823 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018029739979787425, + "loss": 0.8447, + "step": 5824 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018029084225428067, + "loss": 0.8227, + "step": 5825 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018028428373890022, + "loss": 0.7948, + "step": 5826 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018027772425181234, + "loss": 0.7664, + "step": 5827 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018027116379309638, + "loss": 0.7733, + "step": 5828 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018026460236283175, + "loss": 0.8053, + "step": 5829 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001802580399610979, + "loss": 0.8448, + "step": 5830 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018025147658797422, + "loss": 0.8433, + "step": 5831 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018024491224354015, + "loss": 0.7909, + "step": 5832 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018023834692787515, + "loss": 0.8667, + "step": 5833 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018023178064105867, + "loss": 0.8668, + "step": 5834 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018022521338317024, + "loss": 0.9581, + "step": 5835 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001802186451542893, + "loss": 0.7939, + "step": 5836 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018021207595449529, + "loss": 0.8727, + "step": 5837 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018020550578386782, + "loss": 0.9151, + "step": 5838 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018019893464248633, + "loss": 0.8099, + "step": 5839 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018019236253043042, + "loss": 0.7932, + "step": 5840 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018018578944777963, + "loss": 0.8753, + "step": 5841 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018017921539461348, + "loss": 0.9023, + "step": 5842 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018017264037101154, + "loss": 0.7624, + "step": 5843 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018016606437705338, + "loss": 1.0044, + "step": 5844 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018015948741281865, + "loss": 0.8579, + "step": 5845 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001801529094783869, + "loss": 0.7879, + "step": 5846 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018014633057383773, + "loss": 0.9312, + "step": 5847 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018013975069925084, + "loss": 0.9521, + "step": 5848 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001801331698547058, + "loss": 0.9011, + "step": 5849 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001801265880402823, + "loss": 0.9471, + "step": 5850 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018012000525605997, + "loss": 0.9244, + "step": 5851 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018011342150211853, + "loss": 0.9794, + "step": 5852 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001801068367785376, + "loss": 0.9799, + "step": 5853 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018010025108539695, + "loss": 0.8919, + "step": 5854 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001800936644227762, + "loss": 0.832, + "step": 5855 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018008707679075515, + "loss": 0.8799, + "step": 5856 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018008048818941353, + "loss": 0.9162, + "step": 5857 + }, + { + "epoch": 0.2, + "learning_rate": 0.000180073898618831, + "loss": 0.8358, + "step": 5858 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018006730807908742, + "loss": 0.8419, + "step": 5859 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001800607165702625, + "loss": 0.8715, + "step": 5860 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018005412409243606, + "loss": 0.7652, + "step": 5861 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001800475306456878, + "loss": 0.7997, + "step": 5862 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018004093623009764, + "loss": 0.8489, + "step": 5863 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018003434084574532, + "loss": 0.7937, + "step": 5864 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001800277444927107, + "loss": 0.966, + "step": 5865 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001800211471710736, + "loss": 0.7706, + "step": 5866 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018001454888091383, + "loss": 1.0362, + "step": 5867 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018000794962231133, + "loss": 0.8764, + "step": 5868 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018000134939534593, + "loss": 0.8939, + "step": 5869 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017999474820009752, + "loss": 0.8748, + "step": 5870 + }, + { + "epoch": 0.21, + "learning_rate": 0.000179988146036646, + "loss": 0.8807, + "step": 5871 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017998154290507128, + "loss": 0.7593, + "step": 5872 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017997493880545328, + "loss": 1.1118, + "step": 5873 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017996833373787191, + "loss": 0.8465, + "step": 5874 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017996172770240714, + "loss": 0.8063, + "step": 5875 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017995512069913892, + "loss": 0.8148, + "step": 5876 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017994851272814724, + "loss": 0.9314, + "step": 5877 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017994190378951198, + "loss": 0.7953, + "step": 5878 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017993529388331326, + "loss": 0.935, + "step": 5879 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017992868300963102, + "loss": 0.76, + "step": 5880 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017992207116854526, + "loss": 0.8275, + "step": 5881 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017991545836013603, + "loss": 0.9058, + "step": 5882 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017990884458448335, + "loss": 0.8412, + "step": 5883 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001799022298416673, + "loss": 0.933, + "step": 5884 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017989561413176789, + "loss": 0.9466, + "step": 5885 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017988899745486524, + "loss": 0.8743, + "step": 5886 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017988237981103944, + "loss": 0.8937, + "step": 5887 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017987576120037053, + "loss": 0.8388, + "step": 5888 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017986914162293865, + "loss": 0.921, + "step": 5889 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017986252107882392, + "loss": 0.7911, + "step": 5890 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017985589956810648, + "loss": 0.9521, + "step": 5891 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001798492770908664, + "loss": 0.8143, + "step": 5892 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017984265364718395, + "loss": 0.9195, + "step": 5893 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017983602923713922, + "loss": 0.8154, + "step": 5894 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017982940386081242, + "loss": 0.7816, + "step": 5895 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017982277751828373, + "loss": 0.8646, + "step": 5896 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017981615020963335, + "loss": 0.792, + "step": 5897 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017980952193494146, + "loss": 0.9923, + "step": 5898 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017980289269428835, + "loss": 0.8939, + "step": 5899 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017979626248775419, + "loss": 0.8267, + "step": 5900 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017978963131541926, + "loss": 0.9352, + "step": 5901 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001797829991773638, + "loss": 0.8708, + "step": 5902 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017977636607366813, + "loss": 0.8438, + "step": 5903 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001797697320044125, + "loss": 0.9006, + "step": 5904 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017976309696967718, + "loss": 1.0418, + "step": 5905 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017975646096954253, + "loss": 1.0111, + "step": 5906 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017974982400408883, + "loss": 0.9413, + "step": 5907 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017974318607339639, + "loss": 0.7846, + "step": 5908 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001797365471775456, + "loss": 0.9508, + "step": 5909 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017972990731661678, + "loss": 0.8943, + "step": 5910 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017972326649069031, + "loss": 0.8659, + "step": 5911 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017971662469984658, + "loss": 0.9606, + "step": 5912 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017970998194416596, + "loss": 0.8509, + "step": 5913 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017970333822372883, + "loss": 0.9884, + "step": 5914 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001796966935386156, + "loss": 0.8447, + "step": 5915 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017969004788890674, + "loss": 0.9098, + "step": 5916 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017968340127468268, + "loss": 0.8506, + "step": 5917 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001796767536960238, + "loss": 0.9689, + "step": 5918 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017967010515301064, + "loss": 0.9706, + "step": 5919 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001796634556457236, + "loss": 0.8054, + "step": 5920 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017965680517424324, + "loss": 0.7993, + "step": 5921 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017965015373864996, + "loss": 0.8878, + "step": 5922 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017964350133902433, + "loss": 0.7002, + "step": 5923 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017963684797544683, + "loss": 0.7341, + "step": 5924 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017963019364799801, + "loss": 0.9383, + "step": 5925 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017962353835675844, + "loss": 0.9425, + "step": 5926 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017961688210180857, + "loss": 0.8517, + "step": 5927 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017961022488322906, + "loss": 0.8506, + "step": 5928 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017960356670110046, + "loss": 0.8702, + "step": 5929 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017959690755550334, + "loss": 0.9333, + "step": 5930 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001795902474465183, + "loss": 0.7998, + "step": 5931 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017958358637422595, + "loss": 0.7286, + "step": 5932 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017957692433870695, + "loss": 0.9091, + "step": 5933 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017957026134004186, + "loss": 0.9253, + "step": 5934 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017956359737831138, + "loss": 0.9644, + "step": 5935 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017955693245359617, + "loss": 0.9281, + "step": 5936 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017955026656597687, + "loss": 0.9025, + "step": 5937 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017954359971553415, + "loss": 0.8244, + "step": 5938 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017953693190234872, + "loss": 0.876, + "step": 5939 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017953026312650128, + "loss": 0.8361, + "step": 5940 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017952359338807257, + "loss": 0.8675, + "step": 5941 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017951692268714328, + "loss": 0.9097, + "step": 5942 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017951025102379414, + "loss": 0.9399, + "step": 5943 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017950357839810593, + "loss": 0.837, + "step": 5944 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017949690481015943, + "loss": 0.8929, + "step": 5945 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017949023026003538, + "loss": 0.8709, + "step": 5946 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001794835547478145, + "loss": 0.8134, + "step": 5947 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001794768782735777, + "loss": 0.8505, + "step": 5948 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017947020083740575, + "loss": 0.8518, + "step": 5949 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017946352243937948, + "loss": 0.9469, + "step": 5950 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017945684307957966, + "loss": 0.8294, + "step": 5951 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017945016275808717, + "loss": 0.9454, + "step": 5952 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001794434814749829, + "loss": 0.9073, + "step": 5953 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017943679923034767, + "loss": 1.017, + "step": 5954 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017943011602426236, + "loss": 0.9292, + "step": 5955 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017942343185680786, + "loss": 0.9336, + "step": 5956 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001794167467280651, + "loss": 0.8034, + "step": 5957 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017941006063811496, + "loss": 0.9044, + "step": 5958 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001794033735870384, + "loss": 0.9657, + "step": 5959 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017939668557491632, + "loss": 0.9293, + "step": 5960 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017938999660182967, + "loss": 0.8057, + "step": 5961 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017938330666785943, + "loss": 0.7011, + "step": 5962 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017937661577308654, + "loss": 0.917, + "step": 5963 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017936992391759203, + "loss": 1.0092, + "step": 5964 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017936323110145686, + "loss": 0.8167, + "step": 5965 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017935653732476206, + "loss": 0.8977, + "step": 5966 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017934984258758858, + "loss": 0.9223, + "step": 5967 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017934314689001753, + "loss": 0.8256, + "step": 5968 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001793364502321299, + "loss": 0.7656, + "step": 5969 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017932975261400675, + "loss": 0.8457, + "step": 5970 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017932305403572916, + "loss": 0.8514, + "step": 5971 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001793163544973782, + "loss": 0.8626, + "step": 5972 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017930965399903497, + "loss": 0.8554, + "step": 5973 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017930295254078052, + "loss": 0.8352, + "step": 5974 + }, + { + "epoch": 0.21, + "learning_rate": 0.000179296250122696, + "loss": 0.8623, + "step": 5975 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017928954674486253, + "loss": 0.9092, + "step": 5976 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017928284240736124, + "loss": 0.9246, + "step": 5977 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017927613711027327, + "loss": 0.9481, + "step": 5978 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017926943085367974, + "loss": 0.8145, + "step": 5979 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001792627236376619, + "loss": 0.9042, + "step": 5980 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017925601546230088, + "loss": 0.9146, + "step": 5981 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017924930632767788, + "loss": 0.8635, + "step": 5982 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001792425962338741, + "loss": 0.9056, + "step": 5983 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017923588518097073, + "loss": 0.9457, + "step": 5984 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017922917316904905, + "loss": 0.7599, + "step": 5985 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017922246019819028, + "loss": 0.8563, + "step": 5986 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001792157462684756, + "loss": 0.7591, + "step": 5987 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017920903137998636, + "loss": 0.8031, + "step": 5988 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017920231553280382, + "loss": 0.9576, + "step": 5989 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001791955987270092, + "loss": 0.748, + "step": 5990 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017918888096268393, + "loss": 1.0058, + "step": 5991 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017918216223990912, + "loss": 0.9288, + "step": 5992 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017917544255876625, + "loss": 0.7554, + "step": 5993 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001791687219193366, + "loss": 0.7388, + "step": 5994 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001791620003217015, + "loss": 0.8082, + "step": 5995 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017915527776594232, + "loss": 0.8209, + "step": 5996 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001791485542521404, + "loss": 0.7383, + "step": 5997 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017914182978037718, + "loss": 0.9779, + "step": 5998 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017913510435073397, + "loss": 0.8999, + "step": 5999 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017912837796329217, + "loss": 0.8789, + "step": 6000 + }, + { + "epoch": 0.21, + "eval_loss": 0.8621419072151184, + "eval_runtime": 852.8418, + "eval_samples_per_second": 28.212, + "eval_steps_per_second": 14.106, + "step": 6000 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017912165061813328, + "loss": 0.8336, + "step": 6001 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017911492231533868, + "loss": 0.8948, + "step": 6002 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017910819305498975, + "loss": 0.867, + "step": 6003 + }, + { + "epoch": 0.21, + "learning_rate": 0.000179101462837168, + "loss": 0.8485, + "step": 6004 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001790947316619549, + "loss": 0.8979, + "step": 6005 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017908799952943185, + "loss": 0.8826, + "step": 6006 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017908126643968037, + "loss": 0.9747, + "step": 6007 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017907453239278195, + "loss": 0.9112, + "step": 6008 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001790677973888181, + "loss": 0.876, + "step": 6009 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017906106142787036, + "loss": 0.7474, + "step": 6010 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001790543245100202, + "loss": 0.8556, + "step": 6011 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001790475866353492, + "loss": 0.7963, + "step": 6012 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001790408478039389, + "loss": 0.9439, + "step": 6013 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017903410801587086, + "loss": 0.8595, + "step": 6014 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017902736727122667, + "loss": 0.9642, + "step": 6015 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017902062557008787, + "loss": 0.7173, + "step": 6016 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001790138829125361, + "loss": 1.036, + "step": 6017 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017900713929865298, + "loss": 1.0617, + "step": 6018 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001790003947285201, + "loss": 0.9068, + "step": 6019 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001789936492022191, + "loss": 0.8233, + "step": 6020 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017898690271983162, + "loss": 0.8566, + "step": 6021 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017898015528143932, + "loss": 0.8795, + "step": 6022 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017897340688712387, + "loss": 0.8071, + "step": 6023 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017896665753696693, + "loss": 0.8582, + "step": 6024 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017895990723105023, + "loss": 0.8226, + "step": 6025 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001789531559694554, + "loss": 0.862, + "step": 6026 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017894640375226424, + "loss": 0.953, + "step": 6027 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001789396505795584, + "loss": 0.8714, + "step": 6028 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017893289645141966, + "loss": 0.8438, + "step": 6029 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017892614136792975, + "loss": 0.7766, + "step": 6030 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017891938532917044, + "loss": 0.8856, + "step": 6031 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001789126283352235, + "loss": 0.8231, + "step": 6032 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017890587038617067, + "loss": 0.7567, + "step": 6033 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017889911148209382, + "loss": 0.8275, + "step": 6034 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001788923516230747, + "loss": 0.8716, + "step": 6035 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017888559080919512, + "loss": 0.81, + "step": 6036 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017887882904053698, + "loss": 0.9748, + "step": 6037 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017887206631718203, + "loss": 0.8232, + "step": 6038 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017886530263921214, + "loss": 0.8716, + "step": 6039 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017885853800670925, + "loss": 0.7995, + "step": 6040 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017885177241975514, + "loss": 0.8709, + "step": 6041 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017884500587843176, + "loss": 0.8898, + "step": 6042 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017883823838282095, + "loss": 0.8057, + "step": 6043 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001788314699330047, + "loss": 0.9869, + "step": 6044 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017882470052906486, + "loss": 0.8059, + "step": 6045 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017881793017108337, + "loss": 0.9689, + "step": 6046 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017881115885914222, + "loss": 0.9222, + "step": 6047 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017880438659332332, + "loss": 0.9298, + "step": 6048 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017879761337370864, + "loss": 0.8782, + "step": 6049 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017879083920038018, + "loss": 0.8683, + "step": 6050 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001787840640734199, + "loss": 0.8407, + "step": 6051 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017877728799290985, + "loss": 0.8239, + "step": 6052 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017877051095893204, + "loss": 0.7933, + "step": 6053 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017876373297156842, + "loss": 0.8532, + "step": 6054 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001787569540309011, + "loss": 0.9691, + "step": 6055 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017875017413701208, + "loss": 0.9708, + "step": 6056 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017874339328998346, + "loss": 0.8451, + "step": 6057 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017873661148989732, + "loss": 0.8492, + "step": 6058 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017872982873683567, + "loss": 0.8188, + "step": 6059 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017872304503088068, + "loss": 0.8748, + "step": 6060 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017871626037211443, + "loss": 0.8245, + "step": 6061 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017870947476061901, + "loss": 0.8711, + "step": 6062 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017870268819647657, + "loss": 0.904, + "step": 6063 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017869590067976927, + "loss": 0.8792, + "step": 6064 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017868911221057926, + "loss": 0.9017, + "step": 6065 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017868232278898862, + "loss": 0.9607, + "step": 6066 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017867553241507963, + "loss": 0.9237, + "step": 6067 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017866874108893446, + "loss": 0.802, + "step": 6068 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017866194881063525, + "loss": 0.7949, + "step": 6069 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017865515558026428, + "loss": 0.8022, + "step": 6070 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001786483613979037, + "loss": 0.9654, + "step": 6071 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017864156626363578, + "loss": 0.7766, + "step": 6072 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017863477017754278, + "loss": 0.8157, + "step": 6073 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017862797313970691, + "loss": 0.9555, + "step": 6074 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017862117515021048, + "loss": 0.9344, + "step": 6075 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017861437620913574, + "loss": 0.8898, + "step": 6076 + }, + { + "epoch": 0.21, + "learning_rate": 0.000178607576316565, + "loss": 0.871, + "step": 6077 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017860077547258055, + "loss": 0.8347, + "step": 6078 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001785939736772647, + "loss": 0.8482, + "step": 6079 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001785871709306998, + "loss": 0.9283, + "step": 6080 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017858036723296814, + "loss": 0.8609, + "step": 6081 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017857356258415213, + "loss": 0.8809, + "step": 6082 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017856675698433406, + "loss": 0.8991, + "step": 6083 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017855995043359634, + "loss": 0.7443, + "step": 6084 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017855314293202133, + "loss": 0.8625, + "step": 6085 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017854633447969142, + "loss": 0.9104, + "step": 6086 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017853952507668907, + "loss": 0.8869, + "step": 6087 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017853271472309667, + "loss": 0.8356, + "step": 6088 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001785259034189966, + "loss": 0.9582, + "step": 6089 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017851909116447137, + "loss": 0.7769, + "step": 6090 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017851227795960336, + "loss": 0.8349, + "step": 6091 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001785054638044751, + "loss": 0.9252, + "step": 6092 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017849864869916903, + "loss": 0.8018, + "step": 6093 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017849183264376762, + "loss": 0.8535, + "step": 6094 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017848501563835341, + "loss": 0.871, + "step": 6095 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017847819768300889, + "loss": 0.8602, + "step": 6096 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017847137877781655, + "loss": 0.7925, + "step": 6097 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017846455892285895, + "loss": 0.8321, + "step": 6098 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017845773811821865, + "loss": 0.7976, + "step": 6099 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017845091636397816, + "loss": 0.9619, + "step": 6100 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017844409366022008, + "loss": 0.8768, + "step": 6101 + }, + { + "epoch": 0.21, + "learning_rate": 0.000178437270007027, + "loss": 0.8387, + "step": 6102 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017843044540448143, + "loss": 0.8813, + "step": 6103 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017842361985266608, + "loss": 0.7451, + "step": 6104 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017841679335166348, + "loss": 0.8198, + "step": 6105 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001784099659015563, + "loss": 0.8501, + "step": 6106 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017840313750242713, + "loss": 0.8402, + "step": 6107 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017839630815435868, + "loss": 0.9306, + "step": 6108 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017838947785743354, + "loss": 0.9595, + "step": 6109 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017838264661173444, + "loss": 0.8905, + "step": 6110 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017837581441734401, + "loss": 0.8427, + "step": 6111 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017836898127434497, + "loss": 0.8692, + "step": 6112 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017836214718282, + "loss": 0.9423, + "step": 6113 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017835531214285187, + "loss": 0.8992, + "step": 6114 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017834847615452325, + "loss": 0.7407, + "step": 6115 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017834163921791687, + "loss": 0.9648, + "step": 6116 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017833480133311555, + "loss": 0.8618, + "step": 6117 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017832796250020198, + "loss": 0.97, + "step": 6118 + }, + { + "epoch": 0.21, + "learning_rate": 0.000178321122719259, + "loss": 0.9726, + "step": 6119 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017831428199036932, + "loss": 0.8618, + "step": 6120 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017830744031361578, + "loss": 0.8343, + "step": 6121 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017830059768908117, + "loss": 0.9253, + "step": 6122 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001782937541168483, + "loss": 0.8534, + "step": 6123 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017828690959700006, + "loss": 0.9572, + "step": 6124 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001782800641296192, + "loss": 0.8911, + "step": 6125 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001782732177147887, + "loss": 0.8575, + "step": 6126 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017826637035259126, + "loss": 0.8732, + "step": 6127 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001782595220431099, + "loss": 0.762, + "step": 6128 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001782526727864274, + "loss": 0.9598, + "step": 6129 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017824582258262677, + "loss": 0.9585, + "step": 6130 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017823897143179083, + "loss": 0.7021, + "step": 6131 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001782321193340025, + "loss": 0.7914, + "step": 6132 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001782252662893448, + "loss": 0.9369, + "step": 6133 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017821841229790058, + "loss": 0.8862, + "step": 6134 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017821155735975284, + "loss": 0.9771, + "step": 6135 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017820470147498455, + "loss": 1.0174, + "step": 6136 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017819784464367862, + "loss": 0.8816, + "step": 6137 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017819098686591817, + "loss": 0.794, + "step": 6138 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017818412814178612, + "loss": 0.7428, + "step": 6139 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017817726847136549, + "loss": 0.8298, + "step": 6140 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001781704078547393, + "loss": 0.8562, + "step": 6141 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017816354629199063, + "loss": 0.8934, + "step": 6142 + }, + { + "epoch": 0.21, + "learning_rate": 0.00017815668378320248, + "loss": 0.8625, + "step": 6143 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017814982032845792, + "loss": 0.8721, + "step": 6144 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017814295592784003, + "loss": 0.8091, + "step": 6145 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017813609058143189, + "loss": 0.7895, + "step": 6146 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017812922428931657, + "loss": 0.8249, + "step": 6147 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017812235705157723, + "loss": 0.8169, + "step": 6148 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017811548886829693, + "loss": 0.9071, + "step": 6149 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001781086197395588, + "loss": 0.8947, + "step": 6150 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017810174966544605, + "loss": 0.774, + "step": 6151 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017809487864604178, + "loss": 0.8124, + "step": 6152 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001780880066814291, + "loss": 0.8405, + "step": 6153 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017808113377169128, + "loss": 0.9093, + "step": 6154 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017807425991691144, + "loss": 0.8109, + "step": 6155 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001780673851171728, + "loss": 0.8039, + "step": 6156 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001780605093725586, + "loss": 0.937, + "step": 6157 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017805363268315197, + "loss": 0.8209, + "step": 6158 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017804675504903624, + "loss": 0.8879, + "step": 6159 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001780398764702946, + "loss": 0.7669, + "step": 6160 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001780329969470103, + "loss": 0.8375, + "step": 6161 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017802611647926663, + "loss": 0.9026, + "step": 6162 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017801923506714684, + "loss": 0.845, + "step": 6163 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017801235271073425, + "loss": 0.8869, + "step": 6164 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017800546941011214, + "loss": 0.9292, + "step": 6165 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017799858516536382, + "loss": 0.9276, + "step": 6166 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017799169997657262, + "loss": 0.9855, + "step": 6167 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017798481384382185, + "loss": 0.9476, + "step": 6168 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017797792676719487, + "loss": 0.8415, + "step": 6169 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017797103874677504, + "loss": 0.8865, + "step": 6170 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017796414978264578, + "loss": 0.9281, + "step": 6171 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017795725987489037, + "loss": 0.9527, + "step": 6172 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017795036902359227, + "loss": 0.9307, + "step": 6173 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017794347722883483, + "loss": 0.8352, + "step": 6174 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017793658449070154, + "loss": 0.8816, + "step": 6175 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017792969080927576, + "loss": 0.8464, + "step": 6176 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017792279618464093, + "loss": 0.7881, + "step": 6177 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017791590061688053, + "loss": 0.867, + "step": 6178 + }, + { + "epoch": 0.22, + "learning_rate": 0.000177909004106078, + "loss": 0.8148, + "step": 6179 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017790210665231683, + "loss": 0.7683, + "step": 6180 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017789520825568046, + "loss": 0.8585, + "step": 6181 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001778883089162524, + "loss": 0.889, + "step": 6182 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001778814086341162, + "loss": 0.8375, + "step": 6183 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017787450740935535, + "loss": 0.842, + "step": 6184 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017786760524205334, + "loss": 0.925, + "step": 6185 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017786070213229375, + "loss": 0.8114, + "step": 6186 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017785379808016012, + "loss": 0.7007, + "step": 6187 + }, + { + "epoch": 0.22, + "learning_rate": 0.000177846893085736, + "loss": 0.8434, + "step": 6188 + }, + { + "epoch": 0.22, + "learning_rate": 0.000177839987149105, + "loss": 0.8595, + "step": 6189 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017783308027035066, + "loss": 0.7491, + "step": 6190 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001778261724495566, + "loss": 0.7675, + "step": 6191 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017781926368680643, + "loss": 0.7962, + "step": 6192 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017781235398218375, + "loss": 0.8382, + "step": 6193 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017780544333577224, + "loss": 0.9196, + "step": 6194 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017779853174765546, + "loss": 0.7788, + "step": 6195 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017779161921791713, + "loss": 0.8073, + "step": 6196 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017778470574664085, + "loss": 0.9261, + "step": 6197 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001777777913339104, + "loss": 0.8102, + "step": 6198 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017777087597980936, + "loss": 0.7572, + "step": 6199 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017776395968442153, + "loss": 0.8095, + "step": 6200 + }, + { + "epoch": 0.22, + "eval_loss": 0.8491535782814026, + "eval_runtime": 853.0163, + "eval_samples_per_second": 28.206, + "eval_steps_per_second": 14.103, + "step": 6200 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017775704244783053, + "loss": 0.939, + "step": 6201 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001777501242701201, + "loss": 0.8421, + "step": 6202 + }, + { + "epoch": 0.22, + "learning_rate": 0.000177743205151374, + "loss": 0.9808, + "step": 6203 + }, + { + "epoch": 0.22, + "learning_rate": 0.000177736285091676, + "loss": 0.9612, + "step": 6204 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017772936409110978, + "loss": 0.9483, + "step": 6205 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017772244214975916, + "loss": 0.7909, + "step": 6206 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017771551926770794, + "loss": 0.8527, + "step": 6207 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017770859544503985, + "loss": 0.9602, + "step": 6208 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001777016706818387, + "loss": 1.0137, + "step": 6209 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017769474497818832, + "loss": 0.7768, + "step": 6210 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017768781833417253, + "loss": 0.7949, + "step": 6211 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017768089074987522, + "loss": 0.8924, + "step": 6212 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017767396222538015, + "loss": 0.8798, + "step": 6213 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017766703276077118, + "loss": 0.8796, + "step": 6214 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017766010235613225, + "loss": 0.9557, + "step": 6215 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017765317101154724, + "loss": 0.8282, + "step": 6216 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001776462387271, + "loss": 0.8248, + "step": 6217 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001776393055028744, + "loss": 0.9398, + "step": 6218 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001776323713389544, + "loss": 0.8649, + "step": 6219 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017762543623542394, + "loss": 0.7343, + "step": 6220 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017761850019236696, + "loss": 0.8642, + "step": 6221 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017761156320986732, + "loss": 0.8493, + "step": 6222 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017760462528800913, + "loss": 0.7645, + "step": 6223 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017759768642687624, + "loss": 0.8142, + "step": 6224 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001775907466265527, + "loss": 0.8069, + "step": 6225 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017758380588712248, + "loss": 0.8104, + "step": 6226 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017757686420866956, + "loss": 0.8839, + "step": 6227 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017756992159127802, + "loss": 0.9401, + "step": 6228 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017756297803503182, + "loss": 0.7293, + "step": 6229 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017755603354001505, + "loss": 0.832, + "step": 6230 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017754908810631173, + "loss": 0.8216, + "step": 6231 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017754214173400595, + "loss": 0.837, + "step": 6232 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017753519442318178, + "loss": 0.8233, + "step": 6233 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001775282461739233, + "loss": 0.7978, + "step": 6234 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001775212969863146, + "loss": 0.9378, + "step": 6235 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001775143468604398, + "loss": 0.9089, + "step": 6236 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017750739579638298, + "loss": 0.7817, + "step": 6237 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001775004437942283, + "loss": 0.8708, + "step": 6238 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017749349085405998, + "loss": 0.8857, + "step": 6239 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017748653697596201, + "loss": 0.8149, + "step": 6240 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001774795821600187, + "loss": 0.8556, + "step": 6241 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017747262640631416, + "loss": 0.7407, + "step": 6242 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017746566971493257, + "loss": 0.8291, + "step": 6243 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001774587120859582, + "loss": 0.8851, + "step": 6244 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017745175351947516, + "loss": 0.9453, + "step": 6245 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017744479401556772, + "loss": 0.8847, + "step": 6246 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017743783357432013, + "loss": 0.8666, + "step": 6247 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017743087219581661, + "loss": 0.8912, + "step": 6248 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017742390988014146, + "loss": 0.9372, + "step": 6249 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017741694662737887, + "loss": 0.7743, + "step": 6250 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001774099824376132, + "loss": 0.8448, + "step": 6251 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017740301731092865, + "loss": 0.9899, + "step": 6252 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001773960512474096, + "loss": 0.9045, + "step": 6253 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017738908424714034, + "loss": 0.9008, + "step": 6254 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001773821163102052, + "loss": 0.7259, + "step": 6255 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017737514743668844, + "loss": 0.9194, + "step": 6256 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017736817762667453, + "loss": 0.84, + "step": 6257 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017736120688024775, + "loss": 0.9084, + "step": 6258 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001773542351974925, + "loss": 0.9158, + "step": 6259 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001773472625784931, + "loss": 0.8996, + "step": 6260 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017734028902333403, + "loss": 0.8645, + "step": 6261 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017733331453209967, + "loss": 0.8921, + "step": 6262 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017732633910487436, + "loss": 0.7879, + "step": 6263 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017731936274174262, + "loss": 0.7822, + "step": 6264 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017731238544278885, + "loss": 0.9127, + "step": 6265 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001773054072080975, + "loss": 0.8674, + "step": 6266 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017729842803775305, + "loss": 0.7174, + "step": 6267 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017729144793183992, + "loss": 0.8385, + "step": 6268 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001772844668904426, + "loss": 0.8137, + "step": 6269 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017727748491364566, + "loss": 0.7822, + "step": 6270 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017727050200153354, + "loss": 0.8189, + "step": 6271 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017726351815419076, + "loss": 0.8822, + "step": 6272 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017725653337170182, + "loss": 0.9396, + "step": 6273 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017724954765415137, + "loss": 0.9578, + "step": 6274 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017724256100162383, + "loss": 0.7554, + "step": 6275 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017723557341420382, + "loss": 0.8797, + "step": 6276 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017722858489197592, + "loss": 0.9342, + "step": 6277 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001772215954350247, + "loss": 0.8658, + "step": 6278 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017721460504343476, + "loss": 0.8604, + "step": 6279 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017720761371729075, + "loss": 0.7218, + "step": 6280 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001772006214566772, + "loss": 0.846, + "step": 6281 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001771936282616788, + "loss": 0.9438, + "step": 6282 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017718663413238017, + "loss": 0.8905, + "step": 6283 + }, + { + "epoch": 0.22, + "learning_rate": 0.000177179639068866, + "loss": 0.9057, + "step": 6284 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017717264307122088, + "loss": 0.9027, + "step": 6285 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017716564613952954, + "loss": 0.9681, + "step": 6286 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017715864827387665, + "loss": 0.8387, + "step": 6287 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017715164947434693, + "loss": 0.9445, + "step": 6288 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017714464974102507, + "loss": 0.9369, + "step": 6289 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017713764907399576, + "loss": 0.8556, + "step": 6290 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001771306474733438, + "loss": 0.8723, + "step": 6291 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017712364493915387, + "loss": 0.7623, + "step": 6292 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017711664147151076, + "loss": 0.7248, + "step": 6293 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017710963707049922, + "loss": 0.7961, + "step": 6294 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017710263173620404, + "loss": 0.8911, + "step": 6295 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017709562546870997, + "loss": 0.9159, + "step": 6296 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017708861826810186, + "loss": 0.8487, + "step": 6297 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017708161013446448, + "loss": 0.9868, + "step": 6298 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001770746010678827, + "loss": 0.9768, + "step": 6299 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001770675910684413, + "loss": 0.9138, + "step": 6300 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017706058013622515, + "loss": 0.8629, + "step": 6301 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017705356827131912, + "loss": 0.9061, + "step": 6302 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017704655547380805, + "loss": 0.8465, + "step": 6303 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017703954174377683, + "loss": 0.7297, + "step": 6304 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017703252708131033, + "loss": 0.783, + "step": 6305 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017702551148649347, + "loss": 0.8551, + "step": 6306 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001770184949594112, + "loss": 0.9252, + "step": 6307 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017701147750014834, + "loss": 0.7957, + "step": 6308 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017700445910878994, + "loss": 0.8391, + "step": 6309 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017699743978542086, + "loss": 0.8749, + "step": 6310 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001769904195301261, + "loss": 0.7783, + "step": 6311 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017698339834299061, + "loss": 0.8092, + "step": 6312 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017697637622409942, + "loss": 0.8984, + "step": 6313 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017696935317353747, + "loss": 0.8179, + "step": 6314 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017696232919138974, + "loss": 1.0347, + "step": 6315 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017695530427774128, + "loss": 0.8425, + "step": 6316 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017694827843267716, + "loss": 0.7734, + "step": 6317 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017694125165628233, + "loss": 0.9031, + "step": 6318 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017693422394864187, + "loss": 0.991, + "step": 6319 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017692719530984085, + "loss": 0.8024, + "step": 6320 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017692016573996435, + "loss": 0.8807, + "step": 6321 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017691313523909746, + "loss": 0.9529, + "step": 6322 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001769061038073252, + "loss": 0.9634, + "step": 6323 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017689907144473273, + "loss": 0.9372, + "step": 6324 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017689203815140516, + "loss": 0.8944, + "step": 6325 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017688500392742758, + "loss": 0.8147, + "step": 6326 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017687796877288522, + "loss": 0.8747, + "step": 6327 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017687093268786312, + "loss": 0.8835, + "step": 6328 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017686389567244653, + "loss": 0.8729, + "step": 6329 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017685685772672057, + "loss": 0.8136, + "step": 6330 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017684981885077042, + "loss": 0.6872, + "step": 6331 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001768427790446813, + "loss": 0.8837, + "step": 6332 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017683573830853838, + "loss": 0.8325, + "step": 6333 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001768286966424269, + "loss": 0.9525, + "step": 6334 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001768216540464321, + "loss": 0.7924, + "step": 6335 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017681461052063922, + "loss": 0.9635, + "step": 6336 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017680756606513348, + "loss": 0.8544, + "step": 6337 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017680052068000013, + "loss": 0.8132, + "step": 6338 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017679347436532449, + "loss": 0.8078, + "step": 6339 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017678642712119183, + "loss": 0.8219, + "step": 6340 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017677937894768745, + "loss": 0.842, + "step": 6341 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017677232984489663, + "loss": 0.8578, + "step": 6342 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001767652798129047, + "loss": 0.9518, + "step": 6343 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017675822885179697, + "loss": 0.9367, + "step": 6344 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017675117696165884, + "loss": 0.8448, + "step": 6345 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001767441241425756, + "loss": 0.7525, + "step": 6346 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017673707039463264, + "loss": 0.8136, + "step": 6347 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017673001571791533, + "loss": 0.7931, + "step": 6348 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017672296011250906, + "loss": 0.7877, + "step": 6349 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017671590357849922, + "loss": 0.7361, + "step": 6350 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001767088461159712, + "loss": 0.9071, + "step": 6351 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017670178772501044, + "loss": 0.7791, + "step": 6352 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017669472840570237, + "loss": 0.7796, + "step": 6353 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017668766815813244, + "loss": 0.8028, + "step": 6354 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001766806069823861, + "loss": 0.7739, + "step": 6355 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017667354487854877, + "loss": 0.753, + "step": 6356 + }, + { + "epoch": 0.22, + "learning_rate": 0.000176666481846706, + "loss": 0.7568, + "step": 6357 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001766594178869432, + "loss": 0.7599, + "step": 6358 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017665235299934592, + "loss": 0.781, + "step": 6359 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017664528718399963, + "loss": 0.8901, + "step": 6360 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001766382204409899, + "loss": 0.7722, + "step": 6361 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017663115277040224, + "loss": 0.8397, + "step": 6362 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017662408417232217, + "loss": 0.8751, + "step": 6363 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017661701464683524, + "loss": 0.9059, + "step": 6364 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017660994419402707, + "loss": 0.913, + "step": 6365 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017660287281398318, + "loss": 0.8114, + "step": 6366 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017659580050678918, + "loss": 0.7746, + "step": 6367 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017658872727253067, + "loss": 0.8131, + "step": 6368 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017658165311129325, + "loss": 0.8606, + "step": 6369 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017657457802316254, + "loss": 0.7693, + "step": 6370 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001765675020082242, + "loss": 0.871, + "step": 6371 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017656042506656382, + "loss": 0.8775, + "step": 6372 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017655334719826713, + "loss": 0.9732, + "step": 6373 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017654626840341972, + "loss": 0.826, + "step": 6374 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001765391886821073, + "loss": 0.7714, + "step": 6375 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017653210803441556, + "loss": 0.9355, + "step": 6376 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017652502646043022, + "loss": 0.8789, + "step": 6377 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017651794396023694, + "loss": 0.8951, + "step": 6378 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017651086053392144, + "loss": 0.8755, + "step": 6379 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017650377618156954, + "loss": 0.8284, + "step": 6380 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017649669090326692, + "loss": 0.8038, + "step": 6381 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017648960469909933, + "loss": 0.7654, + "step": 6382 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017648251756915252, + "loss": 0.8094, + "step": 6383 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017647542951351234, + "loss": 0.8564, + "step": 6384 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017646834053226451, + "loss": 0.9065, + "step": 6385 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017646125062549488, + "loss": 0.8052, + "step": 6386 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001764541597932892, + "loss": 0.8265, + "step": 6387 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017644706803573336, + "loss": 0.9092, + "step": 6388 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017643997535291318, + "loss": 0.7564, + "step": 6389 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017643288174491444, + "loss": 0.7907, + "step": 6390 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001764257872118231, + "loss": 0.74, + "step": 6391 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017641869175372493, + "loss": 0.8479, + "step": 6392 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017641159537070585, + "loss": 0.8305, + "step": 6393 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017640449806285177, + "loss": 0.7744, + "step": 6394 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001763973998302486, + "loss": 0.7181, + "step": 6395 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017639030067298215, + "loss": 0.8193, + "step": 6396 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017638320059113852, + "loss": 0.8864, + "step": 6397 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001763760995848035, + "loss": 0.8354, + "step": 6398 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017636899765406306, + "loss": 0.8577, + "step": 6399 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017636189479900316, + "loss": 0.8446, + "step": 6400 + }, + { + "epoch": 0.22, + "eval_loss": 0.8379415273666382, + "eval_runtime": 850.4174, + "eval_samples_per_second": 28.292, + "eval_steps_per_second": 14.146, + "step": 6400 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017635479101970982, + "loss": 0.8868, + "step": 6401 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017634768631626896, + "loss": 0.7709, + "step": 6402 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001763405806887666, + "loss": 0.8057, + "step": 6403 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017633347413728876, + "loss": 0.8968, + "step": 6404 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001763263666619214, + "loss": 0.8058, + "step": 6405 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001763192582627506, + "loss": 0.7786, + "step": 6406 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017631214893986234, + "loss": 0.8564, + "step": 6407 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017630503869334272, + "loss": 0.8643, + "step": 6408 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017629792752327776, + "loss": 0.8124, + "step": 6409 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017629081542975354, + "loss": 0.8982, + "step": 6410 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017628370241285616, + "loss": 0.9033, + "step": 6411 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017627658847267167, + "loss": 0.9086, + "step": 6412 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001762694736092862, + "loss": 0.8585, + "step": 6413 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017626235782278586, + "loss": 0.7944, + "step": 6414 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017625524111325677, + "loss": 0.8998, + "step": 6415 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017624812348078508, + "loss": 0.9056, + "step": 6416 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017624100492545693, + "loss": 0.8402, + "step": 6417 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017623388544735845, + "loss": 0.8304, + "step": 6418 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017622676504657587, + "loss": 0.9, + "step": 6419 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001762196437231953, + "loss": 0.8521, + "step": 6420 + }, + { + "epoch": 0.22, + "learning_rate": 0.000176212521477303, + "loss": 0.8026, + "step": 6421 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001762053983089851, + "loss": 0.8626, + "step": 6422 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001761982742183279, + "loss": 0.8057, + "step": 6423 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017619114920541752, + "loss": 0.8373, + "step": 6424 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017618402327034032, + "loss": 0.7684, + "step": 6425 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017617689641318245, + "loss": 0.9065, + "step": 6426 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017616976863403018, + "loss": 0.7372, + "step": 6427 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017616263993296984, + "loss": 0.7835, + "step": 6428 + }, + { + "epoch": 0.22, + "learning_rate": 0.00017615551031008767, + "loss": 0.8436, + "step": 6429 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017614837976546993, + "loss": 0.8094, + "step": 6430 + }, + { + "epoch": 0.23, + "learning_rate": 0.000176141248299203, + "loss": 0.8447, + "step": 6431 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017613411591137316, + "loss": 0.8515, + "step": 6432 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017612698260206666, + "loss": 0.7602, + "step": 6433 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017611984837136998, + "loss": 0.9085, + "step": 6434 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017611271321936936, + "loss": 0.7055, + "step": 6435 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017610557714615118, + "loss": 0.74, + "step": 6436 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017609844015180183, + "loss": 0.8982, + "step": 6437 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017609130223640769, + "loss": 0.8519, + "step": 6438 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017608416340005514, + "loss": 0.6622, + "step": 6439 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017607702364283057, + "loss": 0.9284, + "step": 6440 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017606988296482045, + "loss": 0.6781, + "step": 6441 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017606274136611116, + "loss": 0.7754, + "step": 6442 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017605559884678918, + "loss": 0.7622, + "step": 6443 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017604845540694086, + "loss": 0.8176, + "step": 6444 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017604131104665278, + "loss": 0.92, + "step": 6445 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017603416576601134, + "loss": 0.8903, + "step": 6446 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017602701956510302, + "loss": 0.8033, + "step": 6447 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017601987244401435, + "loss": 0.9265, + "step": 6448 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001760127244028318, + "loss": 0.8479, + "step": 6449 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017600557544164195, + "loss": 0.7622, + "step": 6450 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017599842556053122, + "loss": 0.8077, + "step": 6451 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017599127475958622, + "loss": 0.8355, + "step": 6452 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001759841230388935, + "loss": 1.0408, + "step": 6453 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017597697039853957, + "loss": 1.0032, + "step": 6454 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017596981683861104, + "loss": 0.7273, + "step": 6455 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001759626623591945, + "loss": 0.7824, + "step": 6456 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017595550696037653, + "loss": 0.8386, + "step": 6457 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017594835064224372, + "loss": 0.8881, + "step": 6458 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001759411934048827, + "loss": 0.8377, + "step": 6459 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017593403524838007, + "loss": 0.9841, + "step": 6460 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017592687617282252, + "loss": 0.8062, + "step": 6461 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017591971617829665, + "loss": 0.8937, + "step": 6462 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017591255526488915, + "loss": 0.9098, + "step": 6463 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017590539343268673, + "loss": 0.8815, + "step": 6464 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017589823068177594, + "loss": 0.8546, + "step": 6465 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017589106701224361, + "loss": 0.9261, + "step": 6466 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017588390242417637, + "loss": 0.7519, + "step": 6467 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017587673691766095, + "loss": 0.8765, + "step": 6468 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001758695704927841, + "loss": 0.8628, + "step": 6469 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017586240314963254, + "loss": 0.8358, + "step": 6470 + }, + { + "epoch": 0.23, + "learning_rate": 0.000175855234888293, + "loss": 0.8237, + "step": 6471 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017584806570885227, + "loss": 0.8509, + "step": 6472 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001758408956113971, + "loss": 0.9517, + "step": 6473 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017583372459601432, + "loss": 0.8873, + "step": 6474 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017582655266279063, + "loss": 0.8102, + "step": 6475 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001758193798118129, + "loss": 0.7526, + "step": 6476 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017581220604316795, + "loss": 0.8271, + "step": 6477 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017580503135694258, + "loss": 0.8252, + "step": 6478 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017579785575322365, + "loss": 0.8085, + "step": 6479 + }, + { + "epoch": 0.23, + "learning_rate": 0.000175790679232098, + "loss": 0.7596, + "step": 6480 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001757835017936525, + "loss": 0.8923, + "step": 6481 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017577632343797396, + "loss": 0.7999, + "step": 6482 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017576914416514935, + "loss": 0.7292, + "step": 6483 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001757619639752655, + "loss": 0.8459, + "step": 6484 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017575478286840934, + "loss": 0.7956, + "step": 6485 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001757476008446678, + "loss": 0.7697, + "step": 6486 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017574041790412777, + "loss": 0.8365, + "step": 6487 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001757332340468762, + "loss": 0.9888, + "step": 6488 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017572604927300006, + "loss": 0.8231, + "step": 6489 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001757188635825863, + "loss": 0.8361, + "step": 6490 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017571167697572187, + "loss": 0.8242, + "step": 6491 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017570448945249378, + "loss": 0.8929, + "step": 6492 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017569730101298903, + "loss": 0.7221, + "step": 6493 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017569011165729457, + "loss": 0.818, + "step": 6494 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017568292138549744, + "loss": 0.7027, + "step": 6495 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001756757301976847, + "loss": 0.8561, + "step": 6496 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001756685380939434, + "loss": 0.7079, + "step": 6497 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001756613450743605, + "loss": 0.7453, + "step": 6498 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001756541511390231, + "loss": 0.8381, + "step": 6499 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017564695628801831, + "loss": 0.8549, + "step": 6500 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001756397605214332, + "loss": 0.8686, + "step": 6501 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017563256383935482, + "loss": 0.7493, + "step": 6502 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017562536624187033, + "loss": 0.8752, + "step": 6503 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017561816772906677, + "loss": 0.9124, + "step": 6504 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017561096830103132, + "loss": 0.8565, + "step": 6505 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017560376795785115, + "loss": 0.9197, + "step": 6506 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017559656669961332, + "loss": 0.9588, + "step": 6507 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017558936452640505, + "loss": 0.8376, + "step": 6508 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001755821614383135, + "loss": 0.7974, + "step": 6509 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017557495743542585, + "loss": 0.8652, + "step": 6510 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017556775251782928, + "loss": 0.8826, + "step": 6511 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017556054668561098, + "loss": 0.9917, + "step": 6512 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017555333993885826, + "loss": 0.8165, + "step": 6513 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001755461322776582, + "loss": 0.9001, + "step": 6514 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017553892370209814, + "loss": 0.9821, + "step": 6515 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001755317142122653, + "loss": 0.8912, + "step": 6516 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017552450380824695, + "loss": 0.8759, + "step": 6517 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017551729249013032, + "loss": 0.7507, + "step": 6518 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017551008025800272, + "loss": 0.8555, + "step": 6519 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017550286711195146, + "loss": 0.8239, + "step": 6520 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001754956530520638, + "loss": 0.9247, + "step": 6521 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001754884380784271, + "loss": 0.8584, + "step": 6522 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017548122219112865, + "loss": 0.812, + "step": 6523 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001754740053902558, + "loss": 0.8778, + "step": 6524 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017546678767589588, + "loss": 0.8403, + "step": 6525 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001754595690481363, + "loss": 0.7872, + "step": 6526 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017545234950706436, + "loss": 0.8932, + "step": 6527 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017544512905276748, + "loss": 0.8893, + "step": 6528 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017543790768533306, + "loss": 0.9185, + "step": 6529 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001754306854048485, + "loss": 0.8363, + "step": 6530 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017542346221140117, + "loss": 0.6956, + "step": 6531 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017541623810507856, + "loss": 0.881, + "step": 6532 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017540901308596803, + "loss": 0.8714, + "step": 6533 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017540178715415712, + "loss": 0.8349, + "step": 6534 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001753945603097332, + "loss": 0.8531, + "step": 6535 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017538733255278378, + "loss": 1.0023, + "step": 6536 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017538010388339634, + "loss": 0.8833, + "step": 6537 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001753728743016584, + "loss": 0.9002, + "step": 6538 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017536564380765739, + "loss": 0.8727, + "step": 6539 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017535841240148088, + "loss": 0.8515, + "step": 6540 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017535118008321635, + "loss": 0.9949, + "step": 6541 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017534394685295138, + "loss": 0.7549, + "step": 6542 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017533671271077349, + "loss": 0.7667, + "step": 6543 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017532947765677026, + "loss": 0.7363, + "step": 6544 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017532224169102925, + "loss": 0.927, + "step": 6545 + }, + { + "epoch": 0.23, + "learning_rate": 0.000175315004813638, + "loss": 0.752, + "step": 6546 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017530776702468417, + "loss": 0.8209, + "step": 6547 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001753005283242553, + "loss": 0.8156, + "step": 6548 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017529328871243905, + "loss": 0.8523, + "step": 6549 + }, + { + "epoch": 0.23, + "learning_rate": 0.000175286048189323, + "loss": 0.7847, + "step": 6550 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017527880675499482, + "loss": 0.8723, + "step": 6551 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017527156440954212, + "loss": 0.7289, + "step": 6552 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017526432115305256, + "loss": 0.8114, + "step": 6553 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017525707698561385, + "loss": 0.7896, + "step": 6554 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017524983190731367, + "loss": 0.7855, + "step": 6555 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017524258591823967, + "loss": 1.0148, + "step": 6556 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001752353390184795, + "loss": 0.8579, + "step": 6557 + }, + { + "epoch": 0.23, + "learning_rate": 0.000175228091208121, + "loss": 0.9363, + "step": 6558 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001752208424872518, + "loss": 0.8425, + "step": 6559 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017521359285595968, + "loss": 0.798, + "step": 6560 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017520634231433236, + "loss": 0.9158, + "step": 6561 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017519909086245757, + "loss": 0.7529, + "step": 6562 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017519183850042314, + "loss": 0.7562, + "step": 6563 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001751845852283168, + "loss": 0.8211, + "step": 6564 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001751773310462264, + "loss": 0.7562, + "step": 6565 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017517007595423966, + "loss": 0.8773, + "step": 6566 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001751628199524444, + "loss": 0.8407, + "step": 6567 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001751555630409285, + "loss": 0.756, + "step": 6568 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017514830521977976, + "loss": 0.94, + "step": 6569 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017514104648908601, + "loss": 0.8319, + "step": 6570 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017513378684893516, + "loss": 0.7659, + "step": 6571 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017512652629941497, + "loss": 0.8038, + "step": 6572 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017511926484061342, + "loss": 0.8342, + "step": 6573 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017511200247261833, + "loss": 0.8388, + "step": 6574 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017510473919551766, + "loss": 0.8588, + "step": 6575 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017509747500939928, + "loss": 0.7625, + "step": 6576 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017509020991435113, + "loss": 0.7572, + "step": 6577 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001750829439104611, + "loss": 0.8097, + "step": 6578 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001750756769978172, + "loss": 0.8768, + "step": 6579 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001750684091765073, + "loss": 0.8169, + "step": 6580 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017506114044661946, + "loss": 0.6668, + "step": 6581 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017505387080824156, + "loss": 0.7706, + "step": 6582 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017504660026146167, + "loss": 0.7558, + "step": 6583 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017503932880636773, + "loss": 0.7031, + "step": 6584 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001750320564430478, + "loss": 0.84, + "step": 6585 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017502478317158986, + "loss": 0.7966, + "step": 6586 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017501750899208193, + "loss": 0.7573, + "step": 6587 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017501023390461212, + "loss": 0.6979, + "step": 6588 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001750029579092684, + "loss": 0.7113, + "step": 6589 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017499568100613888, + "loss": 0.7232, + "step": 6590 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017498840319531164, + "loss": 0.73, + "step": 6591 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017498112447687474, + "loss": 0.7107, + "step": 6592 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017497384485091626, + "loss": 0.824, + "step": 6593 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017496656431752436, + "loss": 0.8346, + "step": 6594 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017495928287678716, + "loss": 0.854, + "step": 6595 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001749520005287927, + "loss": 0.711, + "step": 6596 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017494471727362926, + "loss": 0.803, + "step": 6597 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017493743311138487, + "loss": 0.7881, + "step": 6598 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017493014804214772, + "loss": 0.7954, + "step": 6599 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017492286206600605, + "loss": 0.8704, + "step": 6600 + }, + { + "epoch": 0.23, + "eval_loss": 0.826124370098114, + "eval_runtime": 852.9701, + "eval_samples_per_second": 28.207, + "eval_steps_per_second": 14.104, + "step": 6600 + }, + { + "epoch": 0.23, + "learning_rate": 0.000174915575183048, + "loss": 0.9107, + "step": 6601 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017490828739336173, + "loss": 0.8963, + "step": 6602 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001749009986970355, + "loss": 0.8902, + "step": 6603 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001748937090941575, + "loss": 0.7695, + "step": 6604 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017488641858481597, + "loss": 0.9326, + "step": 6605 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017487912716909913, + "loss": 0.7716, + "step": 6606 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001748718348470953, + "loss": 0.7718, + "step": 6607 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001748645416188926, + "loss": 0.7549, + "step": 6608 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017485724748457943, + "loss": 0.8148, + "step": 6609 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017484995244424406, + "loss": 0.7539, + "step": 6610 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017484265649797472, + "loss": 0.8065, + "step": 6611 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017483535964585975, + "loss": 0.6964, + "step": 6612 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001748280618879875, + "loss": 0.8968, + "step": 6613 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017482076322444625, + "loss": 0.9198, + "step": 6614 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017481346365532435, + "loss": 0.8057, + "step": 6615 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017480616318071013, + "loss": 0.8991, + "step": 6616 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017479886180069202, + "loss": 0.8094, + "step": 6617 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001747915595153583, + "loss": 0.726, + "step": 6618 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017478425632479742, + "loss": 0.8703, + "step": 6619 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017477695222909776, + "loss": 0.8213, + "step": 6620 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017476964722834768, + "loss": 0.7589, + "step": 6621 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017476234132263567, + "loss": 0.7968, + "step": 6622 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017475503451205005, + "loss": 0.769, + "step": 6623 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017474772679667937, + "loss": 0.7122, + "step": 6624 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017474041817661204, + "loss": 0.8922, + "step": 6625 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017473310865193648, + "loss": 0.7684, + "step": 6626 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017472579822274117, + "loss": 0.8242, + "step": 6627 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017471848688911464, + "loss": 0.8025, + "step": 6628 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017471117465114535, + "loss": 0.8759, + "step": 6629 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017470386150892178, + "loss": 0.8143, + "step": 6630 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017469654746253248, + "loss": 0.8445, + "step": 6631 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017468923251206592, + "loss": 0.8879, + "step": 6632 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001746819166576107, + "loss": 0.7957, + "step": 6633 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017467459989925537, + "loss": 0.9195, + "step": 6634 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017466728223708842, + "loss": 0.7573, + "step": 6635 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017465996367119847, + "loss": 0.9317, + "step": 6636 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001746526442016741, + "loss": 0.9207, + "step": 6637 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017464532382860384, + "loss": 0.8591, + "step": 6638 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017463800255207635, + "loss": 0.8997, + "step": 6639 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017463068037218025, + "loss": 0.858, + "step": 6640 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017462335728900415, + "loss": 0.8413, + "step": 6641 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017461603330263663, + "loss": 0.7863, + "step": 6642 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001746087084131664, + "loss": 0.8493, + "step": 6643 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017460138262068208, + "loss": 0.7263, + "step": 6644 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001745940559252724, + "loss": 0.7337, + "step": 6645 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017458672832702593, + "loss": 0.7529, + "step": 6646 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017457939982603145, + "loss": 0.8267, + "step": 6647 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001745720704223776, + "loss": 0.7677, + "step": 6648 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017456474011615312, + "loss": 0.8544, + "step": 6649 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017455740890744674, + "loss": 0.8918, + "step": 6650 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017455007679634716, + "loss": 0.9766, + "step": 6651 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017454274378294316, + "loss": 0.766, + "step": 6652 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017453540986732348, + "loss": 0.8666, + "step": 6653 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017452807504957684, + "loss": 0.8818, + "step": 6654 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001745207393297921, + "loss": 0.8547, + "step": 6655 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017451340270805798, + "loss": 0.8957, + "step": 6656 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017450606518446332, + "loss": 0.7057, + "step": 6657 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017449872675909692, + "loss": 0.7728, + "step": 6658 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017449138743204755, + "loss": 0.7954, + "step": 6659 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001744840472034041, + "loss": 0.7135, + "step": 6660 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017447670607325538, + "loss": 0.8003, + "step": 6661 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017446936404169025, + "loss": 0.8688, + "step": 6662 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017446202110879758, + "loss": 0.7643, + "step": 6663 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017445467727466628, + "loss": 0.8016, + "step": 6664 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017444733253938513, + "loss": 0.8477, + "step": 6665 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017443998690304312, + "loss": 0.8404, + "step": 6666 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017443264036572914, + "loss": 0.7436, + "step": 6667 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017442529292753208, + "loss": 1.074, + "step": 6668 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017441794458854086, + "loss": 0.8354, + "step": 6669 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017441059534884447, + "loss": 0.8381, + "step": 6670 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017440324520853184, + "loss": 0.9189, + "step": 6671 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001743958941676919, + "loss": 0.7586, + "step": 6672 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017438854222641366, + "loss": 0.7509, + "step": 6673 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017438118938478607, + "loss": 0.7505, + "step": 6674 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017437383564289816, + "loss": 0.9469, + "step": 6675 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017436648100083892, + "loss": 0.9062, + "step": 6676 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017435912545869735, + "loss": 0.8094, + "step": 6677 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001743517690165625, + "loss": 0.7876, + "step": 6678 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017434441167452338, + "loss": 0.8392, + "step": 6679 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017433705343266906, + "loss": 0.88, + "step": 6680 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001743296942910886, + "loss": 0.8116, + "step": 6681 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017432233424987108, + "loss": 0.8278, + "step": 6682 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017431497330910552, + "loss": 0.6856, + "step": 6683 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017430761146888113, + "loss": 0.7705, + "step": 6684 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001743002487292869, + "loss": 0.8374, + "step": 6685 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017429288509041198, + "loss": 0.8038, + "step": 6686 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001742855205523455, + "loss": 0.7972, + "step": 6687 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001742781551151766, + "loss": 0.8022, + "step": 6688 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001742707887789944, + "loss": 0.7471, + "step": 6689 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017426342154388812, + "loss": 0.8766, + "step": 6690 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017425605340994684, + "loss": 0.8018, + "step": 6691 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001742486843772598, + "loss": 0.8109, + "step": 6692 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001742413144459162, + "loss": 0.9807, + "step": 6693 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001742339436160052, + "loss": 0.7877, + "step": 6694 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017422657188761602, + "loss": 0.8713, + "step": 6695 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001742191992608379, + "loss": 0.7086, + "step": 6696 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017421182573576006, + "loss": 0.8302, + "step": 6697 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017420445131247173, + "loss": 0.8448, + "step": 6698 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001741970759910622, + "loss": 0.7428, + "step": 6699 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017418969977162072, + "loss": 0.9075, + "step": 6700 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017418232265423655, + "loss": 0.7786, + "step": 6701 + }, + { + "epoch": 0.23, + "learning_rate": 0.000174174944638999, + "loss": 0.6772, + "step": 6702 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017416756572599738, + "loss": 0.7616, + "step": 6703 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017416018591532095, + "loss": 0.6989, + "step": 6704 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017415280520705908, + "loss": 0.9485, + "step": 6705 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017414542360130107, + "loss": 0.8607, + "step": 6706 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001741380410981363, + "loss": 1.0408, + "step": 6707 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017413065769765406, + "loss": 0.8151, + "step": 6708 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017412327339994378, + "loss": 0.8309, + "step": 6709 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017411588820509478, + "loss": 0.9049, + "step": 6710 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001741085021131965, + "loss": 0.896, + "step": 6711 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001741011151243383, + "loss": 0.9205, + "step": 6712 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017409372723860958, + "loss": 0.7642, + "step": 6713 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001740863384560998, + "loss": 0.737, + "step": 6714 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017407894877689834, + "loss": 0.736, + "step": 6715 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017407155820109468, + "loss": 0.8546, + "step": 6716 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017406416672877822, + "loss": 0.8545, + "step": 6717 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017405677436003848, + "loss": 0.8223, + "step": 6718 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001740493810949649, + "loss": 0.8759, + "step": 6719 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017404198693364694, + "loss": 0.9648, + "step": 6720 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017403459187617418, + "loss": 0.8773, + "step": 6721 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017402719592263602, + "loss": 0.9211, + "step": 6722 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017401979907312204, + "loss": 0.9105, + "step": 6723 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017401240132772173, + "loss": 0.8127, + "step": 6724 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017400500268652467, + "loss": 0.8855, + "step": 6725 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001739976031496204, + "loss": 0.7939, + "step": 6726 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017399020271709846, + "loss": 0.801, + "step": 6727 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001739828013890484, + "loss": 0.6792, + "step": 6728 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017397539916555983, + "loss": 0.8508, + "step": 6729 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017396799604672234, + "loss": 0.9351, + "step": 6730 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017396059203262553, + "loss": 0.767, + "step": 6731 + }, + { + "epoch": 0.24, + "learning_rate": 0.000173953187123359, + "loss": 0.8061, + "step": 6732 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001739457813190124, + "loss": 0.8498, + "step": 6733 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017393837461967537, + "loss": 0.778, + "step": 6734 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017393096702543752, + "loss": 0.9172, + "step": 6735 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017392355853638853, + "loss": 0.838, + "step": 6736 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017391614915261805, + "loss": 0.8555, + "step": 6737 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017390873887421576, + "loss": 0.8131, + "step": 6738 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017390132770127138, + "loss": 0.8409, + "step": 6739 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017389391563387457, + "loss": 0.6851, + "step": 6740 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017388650267211508, + "loss": 0.8599, + "step": 6741 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001738790888160826, + "loss": 0.8053, + "step": 6742 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017387167406586687, + "loss": 0.7697, + "step": 6743 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017386425842155765, + "loss": 0.9367, + "step": 6744 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001738568418832447, + "loss": 0.7501, + "step": 6745 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017384942445101772, + "loss": 0.7951, + "step": 6746 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017384200612496656, + "loss": 0.8244, + "step": 6747 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017383458690518094, + "loss": 0.8265, + "step": 6748 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017382716679175073, + "loss": 0.7551, + "step": 6749 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017381974578476567, + "loss": 0.9778, + "step": 6750 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017381232388431563, + "loss": 0.7899, + "step": 6751 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017380490109049042, + "loss": 0.7757, + "step": 6752 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017379747740337993, + "loss": 0.7602, + "step": 6753 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001737900528230739, + "loss": 0.8843, + "step": 6754 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017378262734966227, + "loss": 0.9267, + "step": 6755 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001737752009832349, + "loss": 0.96, + "step": 6756 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001737677737238817, + "loss": 0.8142, + "step": 6757 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001737603455716925, + "loss": 0.6974, + "step": 6758 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017375291652675724, + "loss": 0.8806, + "step": 6759 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017374548658916585, + "loss": 0.7874, + "step": 6760 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017373805575900825, + "loss": 0.7934, + "step": 6761 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001737306240363744, + "loss": 0.7917, + "step": 6762 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001737231914213542, + "loss": 0.9289, + "step": 6763 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017371575791403761, + "loss": 0.6955, + "step": 6764 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017370832351451461, + "loss": 0.727, + "step": 6765 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017370088822287524, + "loss": 0.9229, + "step": 6766 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017369345203920941, + "loss": 0.8285, + "step": 6767 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017368601496360717, + "loss": 0.8389, + "step": 6768 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001736785769961585, + "loss": 0.8062, + "step": 6769 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017367113813695348, + "loss": 0.8559, + "step": 6770 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001736636983860821, + "loss": 0.6993, + "step": 6771 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001736562577436344, + "loss": 0.8236, + "step": 6772 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017364881620970048, + "loss": 0.9221, + "step": 6773 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017364137378437033, + "loss": 0.9098, + "step": 6774 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017363393046773413, + "loss": 0.8043, + "step": 6775 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017362648625988188, + "loss": 0.9035, + "step": 6776 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017361904116090373, + "loss": 0.8577, + "step": 6777 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001736115951708898, + "loss": 0.8406, + "step": 6778 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017360414828993014, + "loss": 0.7206, + "step": 6779 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017359670051811496, + "loss": 0.8547, + "step": 6780 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017358925185553437, + "loss": 0.8403, + "step": 6781 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017358180230227853, + "loss": 0.7439, + "step": 6782 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017357435185843758, + "loss": 0.8406, + "step": 6783 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017356690052410174, + "loss": 0.8952, + "step": 6784 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017355944829936117, + "loss": 0.7928, + "step": 6785 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017355199518430604, + "loss": 0.905, + "step": 6786 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017354454117902664, + "loss": 0.8222, + "step": 6787 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017353708628361307, + "loss": 0.9432, + "step": 6788 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017352963049815565, + "loss": 0.9816, + "step": 6789 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001735221738227446, + "loss": 0.6917, + "step": 6790 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017351471625747018, + "loss": 0.787, + "step": 6791 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001735072578024226, + "loss": 0.8344, + "step": 6792 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001734997984576922, + "loss": 0.9273, + "step": 6793 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001734923382233692, + "loss": 0.7136, + "step": 6794 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017348487709954396, + "loss": 0.844, + "step": 6795 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017347741508630672, + "loss": 0.8438, + "step": 6796 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017346995218374785, + "loss": 0.6584, + "step": 6797 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017346248839195764, + "loss": 0.8392, + "step": 6798 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017345502371102645, + "loss": 0.8022, + "step": 6799 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017344755814104458, + "loss": 0.8175, + "step": 6800 + }, + { + "epoch": 0.24, + "eval_loss": 0.8164509534835815, + "eval_runtime": 849.136, + "eval_samples_per_second": 28.335, + "eval_steps_per_second": 14.167, + "step": 6800 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017344009168210244, + "loss": 0.8752, + "step": 6801 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017343262433429038, + "loss": 0.8497, + "step": 6802 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001734251560976988, + "loss": 0.7803, + "step": 6803 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017341768697241803, + "loss": 0.8577, + "step": 6804 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017341021695853855, + "loss": 0.7277, + "step": 6805 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017340274605615071, + "loss": 0.7958, + "step": 6806 + }, + { + "epoch": 0.24, + "learning_rate": 0.000173395274265345, + "loss": 0.8015, + "step": 6807 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017338780158621177, + "loss": 0.7636, + "step": 6808 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017338032801884152, + "loss": 0.7798, + "step": 6809 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017337285356332468, + "loss": 0.8244, + "step": 6810 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017336537821975175, + "loss": 0.904, + "step": 6811 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017335790198821317, + "loss": 0.7731, + "step": 6812 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017335042486879947, + "loss": 0.7706, + "step": 6813 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017334294686160106, + "loss": 0.764, + "step": 6814 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017333546796670856, + "loss": 0.8137, + "step": 6815 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001733279881842124, + "loss": 0.8353, + "step": 6816 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017332050751420316, + "loss": 0.8381, + "step": 6817 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017331302595677143, + "loss": 0.8434, + "step": 6818 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017330554351200763, + "loss": 0.8586, + "step": 6819 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017329806018000237, + "loss": 0.7659, + "step": 6820 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001732905759608463, + "loss": 0.763, + "step": 6821 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017328309085462996, + "loss": 0.8308, + "step": 6822 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001732756048614439, + "loss": 0.7754, + "step": 6823 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017326811798137876, + "loss": 0.8439, + "step": 6824 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017326063021452516, + "loss": 0.9119, + "step": 6825 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017325314156097375, + "loss": 0.8095, + "step": 6826 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017324565202081512, + "loss": 0.846, + "step": 6827 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017323816159413994, + "loss": 0.7677, + "step": 6828 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017323067028103886, + "loss": 0.7464, + "step": 6829 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017322317808160257, + "loss": 0.8285, + "step": 6830 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017321568499592175, + "loss": 0.699, + "step": 6831 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017320819102408706, + "loss": 0.8391, + "step": 6832 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017320069616618927, + "loss": 0.8589, + "step": 6833 + }, + { + "epoch": 0.24, + "learning_rate": 0.000173193200422319, + "loss": 0.8516, + "step": 6834 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017318570379256702, + "loss": 0.9883, + "step": 6835 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017317820627702407, + "loss": 0.7786, + "step": 6836 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017317070787578088, + "loss": 0.7792, + "step": 6837 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017316320858892822, + "loss": 0.8877, + "step": 6838 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001731557084165569, + "loss": 0.8103, + "step": 6839 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017314820735875758, + "loss": 0.8532, + "step": 6840 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017314070541562114, + "loss": 0.8307, + "step": 6841 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017313320258723836, + "loss": 0.7777, + "step": 6842 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001731256988737, + "loss": 0.7682, + "step": 6843 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017311819427509698, + "loss": 0.7664, + "step": 6844 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017311068879152005, + "loss": 0.8743, + "step": 6845 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017310318242306008, + "loss": 0.8591, + "step": 6846 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001730956751698079, + "loss": 0.8069, + "step": 6847 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001730881670318544, + "loss": 0.8012, + "step": 6848 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017308065800929044, + "loss": 0.904, + "step": 6849 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017307314810220692, + "loss": 0.8393, + "step": 6850 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001730656373106947, + "loss": 0.7432, + "step": 6851 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017305812563484473, + "loss": 0.7856, + "step": 6852 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017305061307474787, + "loss": 0.8762, + "step": 6853 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017304309963049513, + "loss": 0.8395, + "step": 6854 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017303558530217737, + "loss": 0.8343, + "step": 6855 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017302807008988557, + "loss": 0.6931, + "step": 6856 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017302055399371068, + "loss": 0.8066, + "step": 6857 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001730130370137437, + "loss": 0.7998, + "step": 6858 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017300551915007558, + "loss": 0.8516, + "step": 6859 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001729980004027973, + "loss": 0.7751, + "step": 6860 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017299048077199988, + "loss": 0.9001, + "step": 6861 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017298296025777433, + "loss": 0.7336, + "step": 6862 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017297543886021172, + "loss": 0.9154, + "step": 6863 + }, + { + "epoch": 0.24, + "learning_rate": 0.000172967916579403, + "loss": 0.8101, + "step": 6864 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017296039341543925, + "loss": 0.7918, + "step": 6865 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017295286936841158, + "loss": 0.8825, + "step": 6866 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017294534443841096, + "loss": 0.7957, + "step": 6867 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017293781862552852, + "loss": 0.8065, + "step": 6868 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017293029192985536, + "loss": 0.9699, + "step": 6869 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017292276435148252, + "loss": 0.9437, + "step": 6870 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017291523589050116, + "loss": 0.8593, + "step": 6871 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017290770654700239, + "loss": 0.74, + "step": 6872 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017290017632107737, + "loss": 0.7223, + "step": 6873 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017289264521281716, + "loss": 0.8642, + "step": 6874 + }, + { + "epoch": 0.24, + "learning_rate": 0.000172885113222313, + "loss": 0.7916, + "step": 6875 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017287758034965596, + "loss": 0.8477, + "step": 6876 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001728700465949373, + "loss": 0.7859, + "step": 6877 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017286251195824815, + "loss": 0.8113, + "step": 6878 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017285497643967972, + "loss": 0.8827, + "step": 6879 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017284744003932324, + "loss": 0.8248, + "step": 6880 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001728399027572699, + "loss": 0.8621, + "step": 6881 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001728323645936109, + "loss": 0.9558, + "step": 6882 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017282482554843752, + "loss": 0.7467, + "step": 6883 + }, + { + "epoch": 0.24, + "learning_rate": 0.000172817285621841, + "loss": 0.7973, + "step": 6884 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001728097448139126, + "loss": 0.7873, + "step": 6885 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017280220312474356, + "loss": 0.824, + "step": 6886 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001727946605544252, + "loss": 0.8653, + "step": 6887 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017278711710304876, + "loss": 0.8328, + "step": 6888 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001727795727707056, + "loss": 0.8465, + "step": 6889 + }, + { + "epoch": 0.24, + "learning_rate": 0.000172772027557487, + "loss": 0.8096, + "step": 6890 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017276448146348426, + "loss": 0.8096, + "step": 6891 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017275693448878877, + "loss": 0.8379, + "step": 6892 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001727493866334918, + "loss": 0.885, + "step": 6893 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001727418378976848, + "loss": 0.738, + "step": 6894 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017273428828145902, + "loss": 0.8708, + "step": 6895 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017272673778490592, + "loss": 0.9241, + "step": 6896 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017271918640811689, + "loss": 0.796, + "step": 6897 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001727116341511833, + "loss": 0.7384, + "step": 6898 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001727040810141965, + "loss": 0.9413, + "step": 6899 + }, + { + "epoch": 0.24, + "learning_rate": 0.000172696526997248, + "loss": 0.6889, + "step": 6900 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017268897210042918, + "loss": 0.9435, + "step": 6901 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001726814163238315, + "loss": 0.7786, + "step": 6902 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017267385966754638, + "loss": 0.7649, + "step": 6903 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017266630213166537, + "loss": 0.9152, + "step": 6904 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017265874371627982, + "loss": 0.9413, + "step": 6905 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017265118442148127, + "loss": 0.8126, + "step": 6906 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017264362424736123, + "loss": 0.9434, + "step": 6907 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017263606319401116, + "loss": 0.8001, + "step": 6908 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001726285012615226, + "loss": 0.8758, + "step": 6909 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001726209384499871, + "loss": 0.8398, + "step": 6910 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017261337475949615, + "loss": 0.8126, + "step": 6911 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001726058101901413, + "loss": 0.7612, + "step": 6912 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001725982447420141, + "loss": 0.74, + "step": 6913 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001725906784152062, + "loss": 0.7711, + "step": 6914 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017258311120980907, + "loss": 0.8679, + "step": 6915 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017257554312591434, + "loss": 0.8005, + "step": 6916 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017256797416361362, + "loss": 0.7584, + "step": 6917 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017256040432299852, + "loss": 0.722, + "step": 6918 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017255283360416063, + "loss": 0.8638, + "step": 6919 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017254526200719163, + "loss": 0.75, + "step": 6920 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017253768953218312, + "loss": 0.8538, + "step": 6921 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017253011617922675, + "loss": 0.7812, + "step": 6922 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017252254194841422, + "loss": 0.7651, + "step": 6923 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001725149668398372, + "loss": 0.8716, + "step": 6924 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017250739085358728, + "loss": 0.7705, + "step": 6925 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017249981398975633, + "loss": 0.7583, + "step": 6926 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017249223624843588, + "loss": 0.8229, + "step": 6927 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017248465762971776, + "loss": 0.7951, + "step": 6928 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017247707813369364, + "loss": 0.796, + "step": 6929 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001724694977604553, + "loss": 0.7917, + "step": 6930 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017246191651009444, + "loss": 0.8793, + "step": 6931 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017245433438270284, + "loss": 0.8816, + "step": 6932 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001724467513783723, + "loss": 0.7806, + "step": 6933 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017243916749719453, + "loss": 0.7327, + "step": 6934 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017243158273926138, + "loss": 0.8183, + "step": 6935 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017242399710466465, + "loss": 0.9106, + "step": 6936 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017241641059349613, + "loss": 0.7354, + "step": 6937 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017240882320584763, + "loss": 0.7885, + "step": 6938 + }, + { + "epoch": 0.24, + "learning_rate": 0.000172401234941811, + "loss": 0.7684, + "step": 6939 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017239364580147806, + "loss": 0.8077, + "step": 6940 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017238605578494073, + "loss": 0.7742, + "step": 6941 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001723784648922908, + "loss": 0.7818, + "step": 6942 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001723708731236202, + "loss": 0.7421, + "step": 6943 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017236328047902076, + "loss": 0.8204, + "step": 6944 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001723556869585844, + "loss": 0.8329, + "step": 6945 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017234809256240307, + "loss": 0.7514, + "step": 6946 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017234049729056863, + "loss": 0.7954, + "step": 6947 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017233290114317305, + "loss": 0.7324, + "step": 6948 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017232530412030826, + "loss": 0.8576, + "step": 6949 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017231770622206613, + "loss": 0.723, + "step": 6950 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017231010744853874, + "loss": 0.7776, + "step": 6951 + }, + { + "epoch": 0.24, + "learning_rate": 0.000172302507799818, + "loss": 0.9261, + "step": 6952 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001722949072759959, + "loss": 0.8975, + "step": 6953 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017228730587716442, + "loss": 0.8387, + "step": 6954 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017227970360341556, + "loss": 0.8128, + "step": 6955 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017227210045484136, + "loss": 0.8127, + "step": 6956 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017226449643153386, + "loss": 0.7694, + "step": 6957 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017225689153358502, + "loss": 0.7617, + "step": 6958 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017224928576108694, + "loss": 0.738, + "step": 6959 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017224167911413166, + "loss": 0.8416, + "step": 6960 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017223407159281127, + "loss": 0.7707, + "step": 6961 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001722264631972178, + "loss": 0.7967, + "step": 6962 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017221885392744337, + "loss": 0.8346, + "step": 6963 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017221124378358007, + "loss": 0.8443, + "step": 6964 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017220363276572003, + "loss": 0.8783, + "step": 6965 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001721960208739553, + "loss": 0.8438, + "step": 6966 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017218840810837808, + "loss": 0.8016, + "step": 6967 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001721807944690805, + "loss": 0.7896, + "step": 6968 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001721731799561547, + "loss": 0.8922, + "step": 6969 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017216556456969278, + "loss": 0.9415, + "step": 6970 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017215794830978702, + "loss": 0.7448, + "step": 6971 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017215033117652954, + "loss": 0.8034, + "step": 6972 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017214271317001254, + "loss": 0.7798, + "step": 6973 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017213509429032825, + "loss": 0.8319, + "step": 6974 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001721274745375688, + "loss": 0.8264, + "step": 6975 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017211985391182654, + "loss": 0.7542, + "step": 6976 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001721122324131936, + "loss": 0.8495, + "step": 6977 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001721046100417623, + "loss": 0.7906, + "step": 6978 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017209698679762481, + "loss": 0.9877, + "step": 6979 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001720893626808735, + "loss": 0.735, + "step": 6980 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017208173769160058, + "loss": 0.7923, + "step": 6981 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017207411182989832, + "loss": 0.8158, + "step": 6982 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001720664850958591, + "loss": 0.8282, + "step": 6983 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017205885748957514, + "loss": 0.9135, + "step": 6984 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017205122901113883, + "loss": 0.7649, + "step": 6985 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017204359966064244, + "loss": 0.6536, + "step": 6986 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017203596943817838, + "loss": 0.8254, + "step": 6987 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017202833834383894, + "loss": 0.8228, + "step": 6988 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001720207063777165, + "loss": 0.7044, + "step": 6989 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017201307353990344, + "loss": 0.889, + "step": 6990 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001720054398304921, + "loss": 0.7484, + "step": 6991 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017199780524957496, + "loss": 0.8798, + "step": 6992 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017199016979724436, + "loss": 0.9185, + "step": 6993 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017198253347359271, + "loss": 0.8798, + "step": 6994 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001719748962787125, + "loss": 0.8209, + "step": 6995 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001719672582126961, + "loss": 0.7987, + "step": 6996 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017195961927563596, + "loss": 0.7978, + "step": 6997 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017195197946762457, + "loss": 0.7385, + "step": 6998 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001719443387887544, + "loss": 0.76, + "step": 6999 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017193669723911787, + "loss": 0.7169, + "step": 7000 + }, + { + "epoch": 0.24, + "eval_loss": 0.8066107630729675, + "eval_runtime": 853.5766, + "eval_samples_per_second": 28.187, + "eval_steps_per_second": 14.094, + "step": 7000 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017192905481880753, + "loss": 0.7387, + "step": 7001 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017192141152791584, + "loss": 0.8576, + "step": 7002 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017191376736653532, + "loss": 0.909, + "step": 7003 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017190612233475852, + "loss": 0.7323, + "step": 7004 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017189847643267792, + "loss": 0.8358, + "step": 7005 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001718908296603861, + "loss": 0.7068, + "step": 7006 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017188318201797557, + "loss": 0.9094, + "step": 7007 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017187553350553894, + "loss": 0.7086, + "step": 7008 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017186788412316877, + "loss": 0.8237, + "step": 7009 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017186023387095762, + "loss": 0.7435, + "step": 7010 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017185258274899813, + "loss": 0.7312, + "step": 7011 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001718449307573828, + "loss": 0.8339, + "step": 7012 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017183727789620438, + "loss": 0.8423, + "step": 7013 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001718296241655554, + "loss": 0.9338, + "step": 7014 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017182196956552854, + "loss": 0.7911, + "step": 7015 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017181431409621644, + "loss": 0.7694, + "step": 7016 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017180665775771173, + "loss": 0.8588, + "step": 7017 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017179900055010712, + "loss": 0.7472, + "step": 7018 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017179134247349525, + "loss": 0.7692, + "step": 7019 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017178368352796882, + "loss": 0.8783, + "step": 7020 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017177602371362056, + "loss": 0.8254, + "step": 7021 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001717683630305431, + "loss": 0.8545, + "step": 7022 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017176070147882926, + "loss": 0.8083, + "step": 7023 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001717530390585717, + "loss": 0.8239, + "step": 7024 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017174537576986317, + "loss": 0.73, + "step": 7025 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017173771161279645, + "loss": 0.7928, + "step": 7026 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017173004658746428, + "loss": 0.8106, + "step": 7027 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017172238069395945, + "loss": 0.8875, + "step": 7028 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017171471393237473, + "loss": 0.7108, + "step": 7029 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001717070463028029, + "loss": 0.7751, + "step": 7030 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017169937780533678, + "loss": 0.7476, + "step": 7031 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001716917084400692, + "loss": 0.7108, + "step": 7032 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017168403820709294, + "loss": 0.7109, + "step": 7033 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017167636710650088, + "loss": 0.7862, + "step": 7034 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017166869513838583, + "loss": 0.8964, + "step": 7035 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017166102230284068, + "loss": 0.8066, + "step": 7036 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001716533485999583, + "loss": 0.7645, + "step": 7037 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017164567402983152, + "loss": 0.8183, + "step": 7038 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017163799859255328, + "loss": 0.7759, + "step": 7039 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017163032228821644, + "loss": 0.8529, + "step": 7040 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017162264511691393, + "loss": 0.8232, + "step": 7041 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017161496707873865, + "loss": 0.7431, + "step": 7042 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017160728817378355, + "loss": 0.7931, + "step": 7043 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017159960840214158, + "loss": 0.7886, + "step": 7044 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017159192776390568, + "loss": 0.9154, + "step": 7045 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017158424625916875, + "loss": 0.7847, + "step": 7046 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017157656388802387, + "loss": 0.8057, + "step": 7047 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017156888065056396, + "loss": 0.7928, + "step": 7048 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017156119654688202, + "loss": 0.8104, + "step": 7049 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017155351157707106, + "loss": 0.75, + "step": 7050 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017154582574122407, + "loss": 0.7772, + "step": 7051 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017153813903943412, + "loss": 0.7086, + "step": 7052 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017153045147179417, + "loss": 0.874, + "step": 7053 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017152276303839735, + "loss": 0.8546, + "step": 7054 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001715150737393367, + "loss": 0.8254, + "step": 7055 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017150738357470525, + "loss": 0.8585, + "step": 7056 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001714996925445961, + "loss": 0.8256, + "step": 7057 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001714920006491023, + "loss": 0.7576, + "step": 7058 + }, + { + "epoch": 0.25, + "learning_rate": 0.000171484307888317, + "loss": 0.8075, + "step": 7059 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017147661426233327, + "loss": 0.7856, + "step": 7060 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017146891977124428, + "loss": 0.7491, + "step": 7061 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001714612244151431, + "loss": 0.8037, + "step": 7062 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001714535281941229, + "loss": 0.6901, + "step": 7063 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001714458311082768, + "loss": 0.7877, + "step": 7064 + }, + { + "epoch": 0.25, + "learning_rate": 0.000171438133157698, + "loss": 0.8534, + "step": 7065 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017143043434247963, + "loss": 0.8457, + "step": 7066 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001714227346627149, + "loss": 0.7429, + "step": 7067 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017141503411849702, + "loss": 0.8387, + "step": 7068 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017140733270991915, + "loss": 0.8086, + "step": 7069 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017139963043707454, + "loss": 0.7115, + "step": 7070 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001713919273000564, + "loss": 0.8393, + "step": 7071 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017138422329895795, + "loss": 0.8303, + "step": 7072 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017137651843387238, + "loss": 0.7551, + "step": 7073 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017136881270489308, + "loss": 0.7701, + "step": 7074 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017136110611211324, + "loss": 0.9159, + "step": 7075 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017135339865562613, + "loss": 0.8095, + "step": 7076 + }, + { + "epoch": 0.25, + "learning_rate": 0.000171345690335525, + "loss": 0.8717, + "step": 7077 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017133798115190324, + "loss": 0.76, + "step": 7078 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001713302711048541, + "loss": 0.7348, + "step": 7079 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017132256019447087, + "loss": 0.838, + "step": 7080 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017131484842084694, + "loss": 0.8434, + "step": 7081 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017130713578407563, + "loss": 0.9242, + "step": 7082 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017129942228425024, + "loss": 0.8833, + "step": 7083 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017129170792146422, + "loss": 0.8214, + "step": 7084 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017128399269581083, + "loss": 0.8005, + "step": 7085 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017127627660738355, + "loss": 0.9315, + "step": 7086 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001712685596562757, + "loss": 0.9651, + "step": 7087 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017126084184258074, + "loss": 0.7199, + "step": 7088 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017125312316639202, + "loss": 0.8863, + "step": 7089 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017124540362780302, + "loss": 0.7892, + "step": 7090 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001712376832269071, + "loss": 0.8175, + "step": 7091 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017122996196379777, + "loss": 0.8226, + "step": 7092 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017122223983856847, + "loss": 0.8255, + "step": 7093 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017121451685131263, + "loss": 1.0177, + "step": 7094 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017120679300212374, + "loss": 0.7962, + "step": 7095 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001711990682910953, + "loss": 0.8514, + "step": 7096 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001711913427183208, + "loss": 0.7546, + "step": 7097 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017118361628389375, + "loss": 0.8856, + "step": 7098 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017117588898790765, + "loss": 0.7801, + "step": 7099 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017116816083045602, + "loss": 0.7635, + "step": 7100 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017116043181163244, + "loss": 0.668, + "step": 7101 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001711527019315304, + "loss": 0.8142, + "step": 7102 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001711449711902435, + "loss": 0.835, + "step": 7103 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017113723958786525, + "loss": 0.8001, + "step": 7104 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001711295071244893, + "loss": 0.7708, + "step": 7105 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001711217738002092, + "loss": 0.852, + "step": 7106 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017111403961511855, + "loss": 0.7145, + "step": 7107 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017110630456931096, + "loss": 0.8106, + "step": 7108 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001710985686628801, + "loss": 0.8076, + "step": 7109 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001710908318959195, + "loss": 0.7887, + "step": 7110 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017108309426852288, + "loss": 0.7953, + "step": 7111 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017107535578078387, + "loss": 0.86, + "step": 7112 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017106761643279615, + "loss": 0.7498, + "step": 7113 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017105987622465334, + "loss": 0.7957, + "step": 7114 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017105213515644914, + "loss": 0.8328, + "step": 7115 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001710443932282773, + "loss": 0.8935, + "step": 7116 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017103665044023144, + "loss": 0.8466, + "step": 7117 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017102890679240534, + "loss": 0.8222, + "step": 7118 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017102116228489268, + "loss": 0.8372, + "step": 7119 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001710134169177872, + "loss": 0.7505, + "step": 7120 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017100567069118267, + "loss": 0.8396, + "step": 7121 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017099792360517285, + "loss": 0.8166, + "step": 7122 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017099017565985145, + "loss": 0.8259, + "step": 7123 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017098242685531232, + "loss": 0.8737, + "step": 7124 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001709746771916492, + "loss": 0.8615, + "step": 7125 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001709669266689559, + "loss": 0.7569, + "step": 7126 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017095917528732617, + "loss": 0.8431, + "step": 7127 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017095142304685392, + "loss": 0.8223, + "step": 7128 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017094366994763294, + "loss": 0.7952, + "step": 7129 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017093591598975707, + "loss": 0.7524, + "step": 7130 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017092816117332015, + "loss": 0.7984, + "step": 7131 + }, + { + "epoch": 0.25, + "learning_rate": 0.000170920405498416, + "loss": 0.8189, + "step": 7132 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001709126489651386, + "loss": 0.6775, + "step": 7133 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017090489157358177, + "loss": 0.8587, + "step": 7134 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017089713332383934, + "loss": 0.649, + "step": 7135 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001708893742160053, + "loss": 0.7624, + "step": 7136 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017088161425017352, + "loss": 0.7758, + "step": 7137 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017087385342643788, + "loss": 0.6952, + "step": 7138 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001708660917448924, + "loss": 0.8547, + "step": 7139 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017085832920563099, + "loss": 0.8605, + "step": 7140 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001708505658087476, + "loss": 0.7462, + "step": 7141 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017084280155433616, + "loss": 0.7694, + "step": 7142 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001708350364424907, + "loss": 0.8748, + "step": 7143 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017082727047330515, + "loss": 0.8321, + "step": 7144 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017081950364687353, + "loss": 0.8335, + "step": 7145 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017081173596328986, + "loss": 0.7808, + "step": 7146 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017080396742264812, + "loss": 0.826, + "step": 7147 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017079619802504238, + "loss": 0.7018, + "step": 7148 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017078842777056661, + "loss": 0.8703, + "step": 7149 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001707806566593149, + "loss": 0.8555, + "step": 7150 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001707728846913813, + "loss": 0.9124, + "step": 7151 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017076511186685987, + "loss": 0.8646, + "step": 7152 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017075733818584473, + "loss": 0.9346, + "step": 7153 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017074956364842995, + "loss": 0.7698, + "step": 7154 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017074178825470955, + "loss": 0.8239, + "step": 7155 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017073401200477773, + "loss": 0.7831, + "step": 7156 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017072623489872857, + "loss": 0.6898, + "step": 7157 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001707184569366562, + "loss": 0.8475, + "step": 7158 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017071067811865476, + "loss": 0.7866, + "step": 7159 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001707028984448184, + "loss": 0.938, + "step": 7160 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001706951179152413, + "loss": 0.8097, + "step": 7161 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017068733653001763, + "loss": 0.9402, + "step": 7162 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001706795542892415, + "loss": 0.8173, + "step": 7163 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017067177119300722, + "loss": 0.7454, + "step": 7164 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017066398724140892, + "loss": 0.8379, + "step": 7165 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001706562024345408, + "loss": 0.799, + "step": 7166 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001706484167724971, + "loss": 0.8174, + "step": 7167 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017064063025537204, + "loss": 0.7734, + "step": 7168 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001706328428832599, + "loss": 0.8946, + "step": 7169 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017062505465625488, + "loss": 0.9525, + "step": 7170 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001706172655744513, + "loss": 0.792, + "step": 7171 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001706094756379434, + "loss": 0.8987, + "step": 7172 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017060168484682548, + "loss": 0.7529, + "step": 7173 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017059389320119183, + "loss": 0.8688, + "step": 7174 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017058610070113677, + "loss": 0.76, + "step": 7175 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017057830734675455, + "loss": 0.8064, + "step": 7176 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017057051313813955, + "loss": 0.8615, + "step": 7177 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001705627180753861, + "loss": 0.7769, + "step": 7178 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017055492215858857, + "loss": 0.8566, + "step": 7179 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017054712538784128, + "loss": 0.835, + "step": 7180 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001705393277632386, + "loss": 0.7105, + "step": 7181 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001705315292848749, + "loss": 0.836, + "step": 7182 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001705237299528446, + "loss": 0.8668, + "step": 7183 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017051592976724208, + "loss": 0.7474, + "step": 7184 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017050812872816174, + "loss": 0.8603, + "step": 7185 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017050032683569804, + "loss": 0.8461, + "step": 7186 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017049252408994533, + "loss": 0.7453, + "step": 7187 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017048472049099812, + "loss": 0.9199, + "step": 7188 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017047691603895083, + "loss": 0.8585, + "step": 7189 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017046911073389793, + "loss": 0.8488, + "step": 7190 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017046130457593387, + "loss": 0.8571, + "step": 7191 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017045349756515313, + "loss": 0.7368, + "step": 7192 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017044568970165028, + "loss": 0.7968, + "step": 7193 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001704378809855197, + "loss": 0.808, + "step": 7194 + }, + { + "epoch": 0.25, + "learning_rate": 0.000170430071416856, + "loss": 0.6645, + "step": 7195 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017042226099575362, + "loss": 0.7993, + "step": 7196 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017041444972230716, + "loss": 0.7902, + "step": 7197 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017040663759661112, + "loss": 0.7142, + "step": 7198 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001703988246187601, + "loss": 0.7632, + "step": 7199 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001703910107888486, + "loss": 0.6899, + "step": 7200 + }, + { + "epoch": 0.25, + "eval_loss": 0.7952414155006409, + "eval_runtime": 852.6819, + "eval_samples_per_second": 28.217, + "eval_steps_per_second": 14.108, + "step": 7200 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001703831961069712, + "loss": 0.7821, + "step": 7201 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017037538057322257, + "loss": 0.7557, + "step": 7202 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001703675641876972, + "loss": 0.7409, + "step": 7203 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017035974695048974, + "loss": 0.8735, + "step": 7204 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017035192886169482, + "loss": 0.7753, + "step": 7205 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017034410992140703, + "loss": 0.7748, + "step": 7206 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017033629012972102, + "loss": 0.8233, + "step": 7207 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017032846948673145, + "loss": 0.7385, + "step": 7208 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017032064799253296, + "loss": 0.7955, + "step": 7209 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001703128256472202, + "loss": 0.7851, + "step": 7210 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017030500245088787, + "loss": 0.706, + "step": 7211 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017029717840363068, + "loss": 0.8445, + "step": 7212 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001702893535055433, + "loss": 0.9195, + "step": 7213 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017028152775672042, + "loss": 0.8525, + "step": 7214 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017027370115725674, + "loss": 0.645, + "step": 7215 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017026587370724708, + "loss": 0.8119, + "step": 7216 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001702580454067861, + "loss": 0.6696, + "step": 7217 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017025021625596853, + "loss": 0.841, + "step": 7218 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001702423862548892, + "loss": 0.7306, + "step": 7219 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017023455540364285, + "loss": 0.7915, + "step": 7220 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017022672370232427, + "loss": 0.6615, + "step": 7221 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017021889115102822, + "loss": 0.8118, + "step": 7222 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001702110577498495, + "loss": 0.8334, + "step": 7223 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017020322349888299, + "loss": 0.8095, + "step": 7224 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017019538839822338, + "loss": 0.6549, + "step": 7225 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017018755244796566, + "loss": 0.8695, + "step": 7226 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017017971564820453, + "loss": 0.7737, + "step": 7227 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017017187799903488, + "loss": 0.7727, + "step": 7228 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017016403950055164, + "loss": 0.8099, + "step": 7229 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017015620015284962, + "loss": 0.9062, + "step": 7230 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001701483599560237, + "loss": 0.8106, + "step": 7231 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017014051891016884, + "loss": 0.7718, + "step": 7232 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017013267701537985, + "loss": 0.7874, + "step": 7233 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017012483427175168, + "loss": 0.8436, + "step": 7234 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017011699067937927, + "loss": 0.7371, + "step": 7235 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017010914623835754, + "loss": 0.8047, + "step": 7236 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017010130094878142, + "loss": 0.7858, + "step": 7237 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017009345481074594, + "loss": 0.7948, + "step": 7238 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017008560782434592, + "loss": 0.7531, + "step": 7239 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017007775998967647, + "loss": 0.8326, + "step": 7240 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017006991130683253, + "loss": 0.7869, + "step": 7241 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017006206177590905, + "loss": 0.7366, + "step": 7242 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017005421139700108, + "loss": 0.8813, + "step": 7243 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017004636017020364, + "loss": 0.7968, + "step": 7244 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017003850809561177, + "loss": 0.7626, + "step": 7245 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017003065517332043, + "loss": 0.8162, + "step": 7246 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017002280140342477, + "loss": 0.8657, + "step": 7247 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001700149467860198, + "loss": 0.7973, + "step": 7248 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017000709132120053, + "loss": 0.8556, + "step": 7249 + }, + { + "epoch": 0.25, + "learning_rate": 0.00016999923500906212, + "loss": 0.835, + "step": 7250 + }, + { + "epoch": 0.25, + "learning_rate": 0.00016999137784969964, + "loss": 0.767, + "step": 7251 + }, + { + "epoch": 0.25, + "learning_rate": 0.00016998351984320813, + "loss": 0.8744, + "step": 7252 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001699756609896828, + "loss": 0.8071, + "step": 7253 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001699678012892187, + "loss": 0.6841, + "step": 7254 + }, + { + "epoch": 0.25, + "learning_rate": 0.00016995994074191093, + "loss": 0.653, + "step": 7255 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001699520793478547, + "loss": 0.7228, + "step": 7256 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001699442171071451, + "loss": 0.8409, + "step": 7257 + }, + { + "epoch": 0.25, + "learning_rate": 0.00016993635401987739, + "loss": 0.9139, + "step": 7258 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001699284900861466, + "loss": 0.7895, + "step": 7259 + }, + { + "epoch": 0.25, + "learning_rate": 0.000169920625306048, + "loss": 0.7643, + "step": 7260 + }, + { + "epoch": 0.25, + "learning_rate": 0.00016991275967967676, + "loss": 0.833, + "step": 7261 + }, + { + "epoch": 0.25, + "learning_rate": 0.00016990489320712804, + "loss": 0.8108, + "step": 7262 + }, + { + "epoch": 0.25, + "learning_rate": 0.00016989702588849712, + "loss": 0.769, + "step": 7263 + }, + { + "epoch": 0.25, + "learning_rate": 0.00016988915772387918, + "loss": 0.6435, + "step": 7264 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001698812887133695, + "loss": 0.7948, + "step": 7265 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001698734188570632, + "loss": 0.7641, + "step": 7266 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001698655481550557, + "loss": 0.8182, + "step": 7267 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001698576766074421, + "loss": 0.8789, + "step": 7268 + }, + { + "epoch": 0.25, + "learning_rate": 0.00016984980421431777, + "loss": 0.7876, + "step": 7269 + }, + { + "epoch": 0.25, + "learning_rate": 0.000169841930975778, + "loss": 0.9361, + "step": 7270 + }, + { + "epoch": 0.25, + "learning_rate": 0.00016983405689191802, + "loss": 0.9471, + "step": 7271 + }, + { + "epoch": 0.25, + "learning_rate": 0.00016982618196283316, + "loss": 0.8111, + "step": 7272 + }, + { + "epoch": 0.25, + "learning_rate": 0.00016981830618861875, + "loss": 0.76, + "step": 7273 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001698104295693701, + "loss": 0.8149, + "step": 7274 + }, + { + "epoch": 0.25, + "learning_rate": 0.00016980255210518252, + "loss": 0.9028, + "step": 7275 + }, + { + "epoch": 0.25, + "learning_rate": 0.00016979467379615138, + "loss": 0.7428, + "step": 7276 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001697867946423721, + "loss": 0.7478, + "step": 7277 + }, + { + "epoch": 0.25, + "learning_rate": 0.00016977891464393986, + "loss": 0.7859, + "step": 7278 + }, + { + "epoch": 0.25, + "learning_rate": 0.00016977103380095022, + "loss": 0.8093, + "step": 7279 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001697631521134985, + "loss": 0.7356, + "step": 7280 + }, + { + "epoch": 0.25, + "learning_rate": 0.00016975526958168003, + "loss": 0.9204, + "step": 7281 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001697473862055903, + "loss": 0.7984, + "step": 7282 + }, + { + "epoch": 0.25, + "learning_rate": 0.00016973950198532472, + "loss": 0.879, + "step": 7283 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001697316169209787, + "loss": 0.6689, + "step": 7284 + }, + { + "epoch": 0.25, + "learning_rate": 0.00016972373101264765, + "loss": 0.8115, + "step": 7285 + }, + { + "epoch": 0.25, + "learning_rate": 0.00016971584426042703, + "loss": 0.8332, + "step": 7286 + }, + { + "epoch": 0.25, + "learning_rate": 0.00016970795666441227, + "loss": 0.7822, + "step": 7287 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016970006822469893, + "loss": 0.8281, + "step": 7288 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001696921789413824, + "loss": 0.807, + "step": 7289 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016968428881455815, + "loss": 0.9184, + "step": 7290 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016967639784432176, + "loss": 0.9638, + "step": 7291 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016966850603076868, + "loss": 0.8274, + "step": 7292 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016966061337399444, + "loss": 0.6858, + "step": 7293 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016965271987409456, + "loss": 0.8413, + "step": 7294 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016964482553116458, + "loss": 0.8427, + "step": 7295 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001696369303453001, + "loss": 0.7929, + "step": 7296 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016962903431659657, + "loss": 0.793, + "step": 7297 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016962113744514964, + "loss": 0.8075, + "step": 7298 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001696132397310549, + "loss": 0.8093, + "step": 7299 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001696053411744079, + "loss": 0.7715, + "step": 7300 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001695974417753042, + "loss": 0.7443, + "step": 7301 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001695895415338395, + "loss": 0.8281, + "step": 7302 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016958164045010934, + "loss": 0.7539, + "step": 7303 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001695737385242094, + "loss": 0.6985, + "step": 7304 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016956583575623532, + "loss": 0.7944, + "step": 7305 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016955793214628272, + "loss": 0.8576, + "step": 7306 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016955002769444727, + "loss": 0.8166, + "step": 7307 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016954212240082465, + "loss": 0.7483, + "step": 7308 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001695342162655105, + "loss": 0.8008, + "step": 7309 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001695263092886006, + "loss": 0.7049, + "step": 7310 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016951840147019057, + "loss": 0.7973, + "step": 7311 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016951049281037613, + "loss": 0.7352, + "step": 7312 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016950258330925304, + "loss": 0.7222, + "step": 7313 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016949467296691702, + "loss": 0.6898, + "step": 7314 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016948676178346375, + "loss": 0.9012, + "step": 7315 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016947884975898906, + "loss": 0.7468, + "step": 7316 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001694709368935887, + "loss": 0.8363, + "step": 7317 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001694630231873584, + "loss": 0.7715, + "step": 7318 + }, + { + "epoch": 0.26, + "learning_rate": 0.000169455108640394, + "loss": 0.7165, + "step": 7319 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016944719325279124, + "loss": 0.8042, + "step": 7320 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016943927702464591, + "loss": 0.8787, + "step": 7321 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016943135995605392, + "loss": 0.8316, + "step": 7322 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016942344204711097, + "loss": 0.7241, + "step": 7323 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016941552329791302, + "loss": 0.6197, + "step": 7324 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016940760370855577, + "loss": 0.8205, + "step": 7325 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001693996832791352, + "loss": 0.7191, + "step": 7326 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016939176200974712, + "loss": 0.8564, + "step": 7327 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001693838399004874, + "loss": 0.7739, + "step": 7328 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001693759169514519, + "loss": 0.89, + "step": 7329 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016936799316273656, + "loss": 0.748, + "step": 7330 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016936006853443729, + "loss": 0.8737, + "step": 7331 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016935214306664994, + "loss": 0.8304, + "step": 7332 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016934421675947052, + "loss": 0.8113, + "step": 7333 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001693362896129949, + "loss": 0.7795, + "step": 7334 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016932836162731905, + "loss": 0.8415, + "step": 7335 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001693204328025389, + "loss": 0.763, + "step": 7336 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001693125031387505, + "loss": 0.7825, + "step": 7337 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001693045726360497, + "loss": 0.7228, + "step": 7338 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016929664129453257, + "loss": 0.8089, + "step": 7339 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016928870911429508, + "loss": 0.8743, + "step": 7340 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016928077609543323, + "loss": 0.8532, + "step": 7341 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016927284223804305, + "loss": 0.9407, + "step": 7342 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016926490754222057, + "loss": 0.7854, + "step": 7343 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001692569720080618, + "loss": 0.8469, + "step": 7344 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016924903563566283, + "loss": 0.8365, + "step": 7345 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016924109842511969, + "loss": 0.7684, + "step": 7346 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016923316037652843, + "loss": 0.7386, + "step": 7347 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016922522148998516, + "loss": 0.7671, + "step": 7348 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016921728176558592, + "loss": 0.7505, + "step": 7349 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001692093412034269, + "loss": 0.7636, + "step": 7350 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016920139980360408, + "loss": 0.7929, + "step": 7351 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016919345756621367, + "loss": 0.7614, + "step": 7352 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016918551449135176, + "loss": 0.8027, + "step": 7353 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001691775705791145, + "loss": 0.8319, + "step": 7354 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016916962582959804, + "loss": 0.8747, + "step": 7355 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016916168024289855, + "loss": 0.8454, + "step": 7356 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016915373381911218, + "loss": 0.8377, + "step": 7357 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016914578655833511, + "loss": 0.8205, + "step": 7358 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001691378384606635, + "loss": 0.7997, + "step": 7359 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001691298895261936, + "loss": 0.8033, + "step": 7360 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001691219397550216, + "loss": 0.856, + "step": 7361 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001691139891472437, + "loss": 0.9995, + "step": 7362 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016910603770295613, + "loss": 0.7402, + "step": 7363 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001690980854222552, + "loss": 0.7534, + "step": 7364 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016909013230523705, + "loss": 0.9687, + "step": 7365 + }, + { + "epoch": 0.26, + "learning_rate": 0.000169082178351998, + "loss": 0.8143, + "step": 7366 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016907422356263432, + "loss": 0.8357, + "step": 7367 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016906626793724224, + "loss": 0.8036, + "step": 7368 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016905831147591814, + "loss": 0.782, + "step": 7369 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016905035417875825, + "loss": 0.8012, + "step": 7370 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001690423960458589, + "loss": 0.8479, + "step": 7371 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001690344370773164, + "loss": 0.753, + "step": 7372 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016902647727322712, + "loss": 0.6567, + "step": 7373 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016901851663368733, + "loss": 0.9717, + "step": 7374 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016901055515879346, + "loss": 0.7626, + "step": 7375 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016900259284864178, + "loss": 0.694, + "step": 7376 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016899462970332873, + "loss": 0.7815, + "step": 7377 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016898666572295068, + "loss": 0.7883, + "step": 7378 + }, + { + "epoch": 0.26, + "learning_rate": 0.000168978700907604, + "loss": 0.6531, + "step": 7379 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001689707352573851, + "loss": 0.7166, + "step": 7380 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016896276877239038, + "loss": 0.7047, + "step": 7381 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001689548014527163, + "loss": 0.7891, + "step": 7382 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016894683329845927, + "loss": 0.6982, + "step": 7383 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016893886430971572, + "loss": 0.8448, + "step": 7384 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016893089448658208, + "loss": 0.8864, + "step": 7385 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001689229238291549, + "loss": 0.761, + "step": 7386 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016891495233753055, + "loss": 0.8774, + "step": 7387 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016890698001180554, + "loss": 0.757, + "step": 7388 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016889900685207638, + "loss": 0.7312, + "step": 7389 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016889103285843958, + "loss": 0.882, + "step": 7390 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016888305803099162, + "loss": 0.7518, + "step": 7391 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016887508236982908, + "loss": 0.7335, + "step": 7392 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001688671058750484, + "loss": 0.7824, + "step": 7393 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016885912854674618, + "loss": 0.8038, + "step": 7394 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016885115038501903, + "loss": 0.772, + "step": 7395 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016884317138996337, + "loss": 0.7633, + "step": 7396 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016883519156167588, + "loss": 0.6851, + "step": 7397 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016882721090025313, + "loss": 0.7691, + "step": 7398 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016881922940579166, + "loss": 0.8617, + "step": 7399 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016881124707838815, + "loss": 0.8256, + "step": 7400 + }, + { + "epoch": 0.26, + "eval_loss": 0.7859690189361572, + "eval_runtime": 854.0764, + "eval_samples_per_second": 28.171, + "eval_steps_per_second": 14.085, + "step": 7400 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016880326391813916, + "loss": 0.7026, + "step": 7401 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016879527992514132, + "loss": 0.7938, + "step": 7402 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016878729509949125, + "loss": 0.7414, + "step": 7403 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016877930944128564, + "loss": 0.7811, + "step": 7404 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016877132295062107, + "loss": 0.8011, + "step": 7405 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001687633356275943, + "loss": 0.7561, + "step": 7406 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016875534747230191, + "loss": 0.7187, + "step": 7407 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016874735848484065, + "loss": 0.8162, + "step": 7408 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016873936866530716, + "loss": 0.8658, + "step": 7409 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001687313780137982, + "loss": 0.6558, + "step": 7410 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001687233865304104, + "loss": 0.7106, + "step": 7411 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016871539421524058, + "loss": 0.8774, + "step": 7412 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016870740106838544, + "loss": 0.8686, + "step": 7413 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001686994070899417, + "loss": 0.8904, + "step": 7414 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016869141228000612, + "loss": 0.7156, + "step": 7415 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016868341663867548, + "loss": 0.8118, + "step": 7416 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016867542016604653, + "loss": 0.7603, + "step": 7417 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016866742286221608, + "loss": 0.8108, + "step": 7418 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016865942472728095, + "loss": 0.8116, + "step": 7419 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016865142576133786, + "loss": 0.8306, + "step": 7420 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001686434259644837, + "loss": 0.785, + "step": 7421 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016863542533681523, + "loss": 0.8692, + "step": 7422 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016862742387842934, + "loss": 0.8527, + "step": 7423 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016861942158942288, + "loss": 0.7467, + "step": 7424 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016861141846989265, + "loss": 0.6885, + "step": 7425 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016860341451993555, + "loss": 0.7528, + "step": 7426 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016859540973964844, + "loss": 0.782, + "step": 7427 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016858740412912826, + "loss": 0.7716, + "step": 7428 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001685793976884718, + "loss": 0.7919, + "step": 7429 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016857139041777605, + "loss": 0.9108, + "step": 7430 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016856338231713787, + "loss": 0.8553, + "step": 7431 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016855537338665423, + "loss": 0.764, + "step": 7432 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016854736362642206, + "loss": 0.7505, + "step": 7433 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016853935303653828, + "loss": 0.7736, + "step": 7434 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016853134161709985, + "loss": 0.736, + "step": 7435 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016852332936820376, + "loss": 0.7745, + "step": 7436 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016851531628994695, + "loss": 0.7782, + "step": 7437 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001685073023824264, + "loss": 0.7378, + "step": 7438 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016849928764573916, + "loss": 0.8615, + "step": 7439 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016849127207998218, + "loss": 0.7963, + "step": 7440 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016848325568525252, + "loss": 0.7828, + "step": 7441 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016847523846164717, + "loss": 0.729, + "step": 7442 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016846722040926316, + "loss": 0.8349, + "step": 7443 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016845920152819757, + "loss": 0.6862, + "step": 7444 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016845118181854743, + "loss": 0.8286, + "step": 7445 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001684431612804098, + "loss": 0.7558, + "step": 7446 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016843513991388176, + "loss": 0.7397, + "step": 7447 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016842711771906043, + "loss": 0.9133, + "step": 7448 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016841909469604284, + "loss": 0.8635, + "step": 7449 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016841107084492618, + "loss": 0.8242, + "step": 7450 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001684030461658075, + "loss": 0.7452, + "step": 7451 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016839502065878393, + "loss": 0.8797, + "step": 7452 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016838699432395263, + "loss": 0.6886, + "step": 7453 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001683789671614107, + "loss": 0.8321, + "step": 7454 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001683709391712554, + "loss": 0.8259, + "step": 7455 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016836291035358375, + "loss": 0.7692, + "step": 7456 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016835488070849307, + "loss": 0.7539, + "step": 7457 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016834685023608042, + "loss": 0.7727, + "step": 7458 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016833881893644307, + "loss": 0.7794, + "step": 7459 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001683307868096782, + "loss": 0.7982, + "step": 7460 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016832275385588306, + "loss": 0.7703, + "step": 7461 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016831472007515483, + "loss": 0.825, + "step": 7462 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016830668546759077, + "loss": 0.8126, + "step": 7463 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001682986500332881, + "loss": 0.7295, + "step": 7464 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016829061377234412, + "loss": 0.6771, + "step": 7465 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016828257668485605, + "loss": 0.813, + "step": 7466 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001682745387709212, + "loss": 0.7342, + "step": 7467 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016826650003063686, + "loss": 0.7705, + "step": 7468 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016825846046410024, + "loss": 0.7583, + "step": 7469 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016825042007140875, + "loss": 0.853, + "step": 7470 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016824237885265967, + "loss": 0.8176, + "step": 7471 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016823433680795033, + "loss": 0.7575, + "step": 7472 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016822629393737804, + "loss": 0.805, + "step": 7473 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001682182502410402, + "loss": 0.7652, + "step": 7474 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001682102057190341, + "loss": 0.7892, + "step": 7475 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016820216037145716, + "loss": 0.8071, + "step": 7476 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016819411419840668, + "loss": 0.7768, + "step": 7477 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016818606719998014, + "loss": 0.6866, + "step": 7478 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001681780193762749, + "loss": 0.6737, + "step": 7479 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001681699707273883, + "loss": 0.8358, + "step": 7480 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016816192125341788, + "loss": 0.7434, + "step": 7481 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016815387095446096, + "loss": 0.7047, + "step": 7482 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016814581983061504, + "loss": 0.8534, + "step": 7483 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001681377678819775, + "loss": 0.9578, + "step": 7484 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016812971510864587, + "loss": 0.78, + "step": 7485 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016812166151071757, + "loss": 0.7759, + "step": 7486 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016811360708829007, + "loss": 0.703, + "step": 7487 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001681055518414609, + "loss": 0.7285, + "step": 7488 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001680974957703275, + "loss": 0.7804, + "step": 7489 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016808943887498741, + "loss": 0.8076, + "step": 7490 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016808138115553814, + "loss": 0.8369, + "step": 7491 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016807332261207722, + "loss": 0.8015, + "step": 7492 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016806526324470217, + "loss": 0.8078, + "step": 7493 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016805720305351055, + "loss": 0.6943, + "step": 7494 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001680491420385999, + "loss": 0.9081, + "step": 7495 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016804108020006776, + "loss": 0.8439, + "step": 7496 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016803301753801178, + "loss": 0.8391, + "step": 7497 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001680249540525295, + "loss": 0.7634, + "step": 7498 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001680168897437185, + "loss": 0.7946, + "step": 7499 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016800882461167645, + "loss": 0.7735, + "step": 7500 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016800075865650087, + "loss": 0.6973, + "step": 7501 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016799269187828944, + "loss": 0.7879, + "step": 7502 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001679846242771398, + "loss": 0.8205, + "step": 7503 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016797655585314958, + "loss": 0.7858, + "step": 7504 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016796848660641643, + "loss": 0.7885, + "step": 7505 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016796041653703805, + "loss": 0.7616, + "step": 7506 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016795234564511205, + "loss": 0.7895, + "step": 7507 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016794427393073614, + "loss": 0.8819, + "step": 7508 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016793620139400806, + "loss": 0.8157, + "step": 7509 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001679281280350255, + "loss": 0.772, + "step": 7510 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016792005385388612, + "loss": 0.8539, + "step": 7511 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016791197885068768, + "loss": 0.7502, + "step": 7512 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016790390302552792, + "loss": 0.6735, + "step": 7513 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001678958263785046, + "loss": 0.9375, + "step": 7514 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016788774890971544, + "loss": 0.8182, + "step": 7515 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001678796706192582, + "loss": 0.8954, + "step": 7516 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001678715915072307, + "loss": 0.8972, + "step": 7517 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016786351157373067, + "loss": 0.8028, + "step": 7518 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016785543081885597, + "loss": 0.867, + "step": 7519 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016784734924270433, + "loss": 0.7767, + "step": 7520 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001678392668453736, + "loss": 0.6374, + "step": 7521 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016783118362696163, + "loss": 0.8176, + "step": 7522 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001678230995875662, + "loss": 0.7929, + "step": 7523 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016781501472728518, + "loss": 0.7511, + "step": 7524 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016780692904621642, + "loss": 0.8625, + "step": 7525 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001677988425444578, + "loss": 0.7828, + "step": 7526 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001677907552221072, + "loss": 0.857, + "step": 7527 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016778266707926243, + "loss": 0.6855, + "step": 7528 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016777457811602148, + "loss": 0.7728, + "step": 7529 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016776648833248222, + "loss": 0.6759, + "step": 7530 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016775839772874255, + "loss": 0.8212, + "step": 7531 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016775030630490037, + "loss": 0.8871, + "step": 7532 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016774221406105365, + "loss": 0.7727, + "step": 7533 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016773412099730032, + "loss": 0.7873, + "step": 7534 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016772602711373838, + "loss": 0.7082, + "step": 7535 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001677179324104657, + "loss": 0.7906, + "step": 7536 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016770983688758033, + "loss": 0.7415, + "step": 7537 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016770174054518022, + "loss": 0.6891, + "step": 7538 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016769364338336339, + "loss": 0.8753, + "step": 7539 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001676855454022278, + "loss": 0.7657, + "step": 7540 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016767744660187148, + "loss": 0.8061, + "step": 7541 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016766934698239245, + "loss": 0.8194, + "step": 7542 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016766124654388879, + "loss": 0.6987, + "step": 7543 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016765314528645846, + "loss": 0.8561, + "step": 7544 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016764504321019956, + "loss": 0.7833, + "step": 7545 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016763694031521014, + "loss": 0.7195, + "step": 7546 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016762883660158831, + "loss": 0.8649, + "step": 7547 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001676207320694321, + "loss": 0.6298, + "step": 7548 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016761262671883962, + "loss": 0.8761, + "step": 7549 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016760452054990897, + "loss": 0.7997, + "step": 7550 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016759641356273828, + "loss": 0.7944, + "step": 7551 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016758830575742563, + "loss": 0.7417, + "step": 7552 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016758019713406918, + "loss": 0.663, + "step": 7553 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001675720876927671, + "loss": 0.6937, + "step": 7554 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001675639774336175, + "loss": 0.7977, + "step": 7555 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016755586635671855, + "loss": 0.6735, + "step": 7556 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016754775446216843, + "loss": 0.7862, + "step": 7557 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001675396417500653, + "loss": 0.731, + "step": 7558 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016753152822050735, + "loss": 0.7913, + "step": 7559 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016752341387359283, + "loss": 0.8731, + "step": 7560 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016751529870941988, + "loss": 0.7649, + "step": 7561 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001675071827280868, + "loss": 0.7598, + "step": 7562 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016749906592969174, + "loss": 0.7509, + "step": 7563 + }, + { + "epoch": 0.26, + "learning_rate": 0.000167490948314333, + "loss": 0.7055, + "step": 7564 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016748282988210877, + "loss": 0.7559, + "step": 7565 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001674747106331174, + "loss": 0.7132, + "step": 7566 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001674665905674571, + "loss": 0.7546, + "step": 7567 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016745846968522612, + "loss": 0.7406, + "step": 7568 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016745034798652282, + "loss": 0.8818, + "step": 7569 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016744222547144546, + "loss": 0.9921, + "step": 7570 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016743410214009233, + "loss": 0.9484, + "step": 7571 + }, + { + "epoch": 0.26, + "learning_rate": 0.00016742597799256182, + "loss": 0.7517, + "step": 7572 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001674178530289522, + "loss": 0.6604, + "step": 7573 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016740972724936182, + "loss": 0.8546, + "step": 7574 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016740160065388903, + "loss": 0.7802, + "step": 7575 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001673934732426322, + "loss": 0.7801, + "step": 7576 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016738534501568967, + "loss": 0.7504, + "step": 7577 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016737721597315984, + "loss": 0.7335, + "step": 7578 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016736908611514112, + "loss": 0.8724, + "step": 7579 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016736095544173186, + "loss": 0.7402, + "step": 7580 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016735282395303054, + "loss": 0.7563, + "step": 7581 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016734469164913552, + "loss": 0.806, + "step": 7582 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016733655853014523, + "loss": 0.7601, + "step": 7583 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016732842459615813, + "loss": 0.7476, + "step": 7584 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001673202898472726, + "loss": 0.6924, + "step": 7585 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001673121542835872, + "loss": 0.8348, + "step": 7586 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016730401790520036, + "loss": 0.7655, + "step": 7587 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016729588071221055, + "loss": 0.8157, + "step": 7588 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016728774270471624, + "loss": 0.7617, + "step": 7589 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016727960388281593, + "loss": 0.8796, + "step": 7590 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016727146424660817, + "loss": 0.799, + "step": 7591 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016726332379619143, + "loss": 0.7673, + "step": 7592 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016725518253166426, + "loss": 0.7858, + "step": 7593 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016724704045312518, + "loss": 0.7984, + "step": 7594 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016723889756067276, + "loss": 0.7567, + "step": 7595 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016723075385440553, + "loss": 0.8365, + "step": 7596 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016722260933442208, + "loss": 0.6957, + "step": 7597 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016721446400082095, + "loss": 0.7274, + "step": 7598 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016720631785370078, + "loss": 0.7557, + "step": 7599 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016719817089316013, + "loss": 0.7186, + "step": 7600 + }, + { + "epoch": 0.27, + "eval_loss": 0.7758554816246033, + "eval_runtime": 849.5166, + "eval_samples_per_second": 28.322, + "eval_steps_per_second": 14.161, + "step": 7600 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016719002311929758, + "loss": 0.8232, + "step": 7601 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016718187453221178, + "loss": 0.8548, + "step": 7602 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001671737251320014, + "loss": 0.7812, + "step": 7603 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016716557491876498, + "loss": 0.7537, + "step": 7604 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016715742389260122, + "loss": 0.754, + "step": 7605 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016714927205360876, + "loss": 0.808, + "step": 7606 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001671411194018863, + "loss": 0.8202, + "step": 7607 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016713296593753247, + "loss": 0.8207, + "step": 7608 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016712481166064594, + "loss": 0.8283, + "step": 7609 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016711665657132544, + "loss": 0.7995, + "step": 7610 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016710850066966966, + "loss": 0.9201, + "step": 7611 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016710034395577735, + "loss": 0.716, + "step": 7612 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016709218642974721, + "loss": 0.7707, + "step": 7613 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016708402809167792, + "loss": 0.8374, + "step": 7614 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001670758689416683, + "loss": 0.7803, + "step": 7615 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016706770897981707, + "loss": 0.8559, + "step": 7616 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016705954820622298, + "loss": 0.8909, + "step": 7617 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016705138662098486, + "loss": 0.818, + "step": 7618 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001670432242242014, + "loss": 0.719, + "step": 7619 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016703506101597144, + "loss": 0.8402, + "step": 7620 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016702689699639383, + "loss": 0.7435, + "step": 7621 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016701873216556728, + "loss": 0.7543, + "step": 7622 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001670105665235907, + "loss": 0.8329, + "step": 7623 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016700240007056286, + "loss": 0.8149, + "step": 7624 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016699423280658267, + "loss": 0.7696, + "step": 7625 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016698606473174895, + "loss": 0.8391, + "step": 7626 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001669778958461605, + "loss": 0.7818, + "step": 7627 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016696972614991626, + "loss": 0.856, + "step": 7628 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001669615556431151, + "loss": 0.7638, + "step": 7629 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001669533843258559, + "loss": 0.7443, + "step": 7630 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016694521219823757, + "loss": 0.7772, + "step": 7631 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016693703926035902, + "loss": 0.7288, + "step": 7632 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016692886551231918, + "loss": 0.746, + "step": 7633 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016692069095421692, + "loss": 0.6759, + "step": 7634 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016691251558615124, + "loss": 0.8865, + "step": 7635 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016690433940822106, + "loss": 0.7613, + "step": 7636 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016689616242052536, + "loss": 0.7386, + "step": 7637 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016688798462316312, + "loss": 0.7759, + "step": 7638 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001668798060162333, + "loss": 0.696, + "step": 7639 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016687162659983487, + "loss": 0.7422, + "step": 7640 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016686344637406684, + "loss": 0.8945, + "step": 7641 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016685526533902822, + "loss": 0.825, + "step": 7642 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016684708349481804, + "loss": 0.8319, + "step": 7643 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016683890084153534, + "loss": 0.7445, + "step": 7644 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016683071737927908, + "loss": 0.7798, + "step": 7645 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001668225331081484, + "loss": 0.8072, + "step": 7646 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001668143480282423, + "loss": 0.955, + "step": 7647 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016680616213965988, + "loss": 0.8436, + "step": 7648 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016679797544250023, + "loss": 0.8665, + "step": 7649 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016678978793686238, + "loss": 0.8461, + "step": 7650 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016678159962284545, + "loss": 0.8251, + "step": 7651 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016677341050054856, + "loss": 0.6797, + "step": 7652 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016676522057007081, + "loss": 0.8542, + "step": 7653 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016675702983151136, + "loss": 0.5544, + "step": 7654 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001667488382849693, + "loss": 0.9289, + "step": 7655 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001667406459305438, + "loss": 0.7578, + "step": 7656 + }, + { + "epoch": 0.27, + "learning_rate": 0.000166732452768334, + "loss": 0.808, + "step": 7657 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016672425879843904, + "loss": 0.7927, + "step": 7658 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016671606402095818, + "loss": 0.7167, + "step": 7659 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016670786843599053, + "loss": 0.7676, + "step": 7660 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001666996720436353, + "loss": 0.7003, + "step": 7661 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001666914748439917, + "loss": 0.8689, + "step": 7662 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016668327683715895, + "loss": 0.7443, + "step": 7663 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016667507802323623, + "loss": 0.8529, + "step": 7664 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016666687840232288, + "loss": 0.7584, + "step": 7665 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016665867797451803, + "loss": 0.93, + "step": 7666 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016665047673992094, + "loss": 0.8556, + "step": 7667 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016664227469863097, + "loss": 0.7479, + "step": 7668 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016663407185074725, + "loss": 0.8216, + "step": 7669 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001666258681963692, + "loss": 0.7196, + "step": 7670 + }, + { + "epoch": 0.27, + "learning_rate": 0.000166617663735596, + "loss": 0.7538, + "step": 7671 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016660945846852708, + "loss": 0.7735, + "step": 7672 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016660125239526162, + "loss": 0.7926, + "step": 7673 + }, + { + "epoch": 0.27, + "learning_rate": 0.000166593045515899, + "loss": 0.7439, + "step": 7674 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016658483783053854, + "loss": 0.7497, + "step": 7675 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001665766293392796, + "loss": 0.7518, + "step": 7676 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001665684200422215, + "loss": 0.8543, + "step": 7677 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016656020993946363, + "loss": 0.7865, + "step": 7678 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016655199903110534, + "loss": 0.7582, + "step": 7679 + }, + { + "epoch": 0.27, + "learning_rate": 0.000166543787317246, + "loss": 0.8306, + "step": 7680 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016653557479798502, + "loss": 0.8182, + "step": 7681 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001665273614734218, + "loss": 0.9017, + "step": 7682 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016651914734365573, + "loss": 0.7411, + "step": 7683 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016651093240878625, + "loss": 0.8245, + "step": 7684 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016650271666891279, + "loss": 0.685, + "step": 7685 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016649450012413476, + "loss": 0.8302, + "step": 7686 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001664862827745516, + "loss": 0.731, + "step": 7687 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001664780646202628, + "loss": 0.7805, + "step": 7688 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016646984566136782, + "loss": 0.8156, + "step": 7689 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016646162589796615, + "loss": 0.8302, + "step": 7690 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016645340533015724, + "loss": 0.7527, + "step": 7691 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016644518395804062, + "loss": 0.8409, + "step": 7692 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016643696178171577, + "loss": 0.7871, + "step": 7693 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016642873880128224, + "loss": 0.6804, + "step": 7694 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016642051501683953, + "loss": 0.775, + "step": 7695 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016641229042848717, + "loss": 0.7435, + "step": 7696 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001664040650363247, + "loss": 0.7771, + "step": 7697 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001663958388404517, + "loss": 0.7829, + "step": 7698 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016638761184096775, + "loss": 0.7365, + "step": 7699 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016637938403797235, + "loss": 0.7408, + "step": 7700 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016637115543156514, + "loss": 0.828, + "step": 7701 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016636292602184574, + "loss": 0.8243, + "step": 7702 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016635469580891367, + "loss": 0.7474, + "step": 7703 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001663464647928686, + "loss": 0.776, + "step": 7704 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016633823297381017, + "loss": 0.7566, + "step": 7705 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016633000035183799, + "loss": 0.7913, + "step": 7706 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001663217669270517, + "loss": 0.7602, + "step": 7707 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001663135326995509, + "loss": 0.6928, + "step": 7708 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016630529766943535, + "loss": 0.7057, + "step": 7709 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016629706183680465, + "loss": 0.7862, + "step": 7710 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001662888252017585, + "loss": 0.7816, + "step": 7711 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001662805877643966, + "loss": 0.8273, + "step": 7712 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016627234952481867, + "loss": 0.7639, + "step": 7713 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016626411048312436, + "loss": 0.8059, + "step": 7714 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016625587063941346, + "loss": 0.73, + "step": 7715 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016624762999378564, + "loss": 0.7855, + "step": 7716 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016623938854634066, + "loss": 0.8489, + "step": 7717 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016623114629717826, + "loss": 0.7609, + "step": 7718 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016622290324639827, + "loss": 0.7136, + "step": 7719 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016621465939410033, + "loss": 0.8112, + "step": 7720 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016620641474038433, + "loss": 0.8258, + "step": 7721 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016619816928535, + "loss": 0.7249, + "step": 7722 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016618992302909718, + "loss": 0.745, + "step": 7723 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016618167597172562, + "loss": 0.691, + "step": 7724 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016617342811333518, + "loss": 0.8794, + "step": 7725 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001661651794540257, + "loss": 0.8319, + "step": 7726 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016615692999389693, + "loss": 0.6417, + "step": 7727 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001661486797330488, + "loss": 0.7132, + "step": 7728 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016614042867158117, + "loss": 0.8437, + "step": 7729 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016613217680959386, + "loss": 0.7572, + "step": 7730 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016612392414718676, + "loss": 0.8353, + "step": 7731 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016611567068445976, + "loss": 0.8683, + "step": 7732 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016610741642151275, + "loss": 0.7495, + "step": 7733 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016609916135844563, + "loss": 0.8168, + "step": 7734 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016609090549535833, + "loss": 0.731, + "step": 7735 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016608264883235073, + "loss": 0.8248, + "step": 7736 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016607439136952286, + "loss": 0.8242, + "step": 7737 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016606613310697453, + "loss": 0.85, + "step": 7738 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016605787404480582, + "loss": 0.7246, + "step": 7739 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016604961418311656, + "loss": 0.8368, + "step": 7740 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016604135352200688, + "loss": 0.8011, + "step": 7741 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016603309206157662, + "loss": 0.6976, + "step": 7742 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016602482980192584, + "loss": 0.8304, + "step": 7743 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016601656674315453, + "loss": 0.793, + "step": 7744 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016600830288536272, + "loss": 0.8335, + "step": 7745 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001660000382286504, + "loss": 0.8105, + "step": 7746 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001659917727731176, + "loss": 0.8473, + "step": 7747 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016598350651886437, + "loss": 0.8051, + "step": 7748 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016597523946599077, + "loss": 0.6996, + "step": 7749 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016596697161459683, + "loss": 0.67, + "step": 7750 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016595870296478264, + "loss": 0.7436, + "step": 7751 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016595043351664827, + "loss": 0.6331, + "step": 7752 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016594216327029383, + "loss": 0.8225, + "step": 7753 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016593389222581938, + "loss": 0.7842, + "step": 7754 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016592562038332507, + "loss": 0.88, + "step": 7755 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016591734774291095, + "loss": 0.7089, + "step": 7756 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016590907430467727, + "loss": 0.9068, + "step": 7757 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016590080006872402, + "loss": 0.7656, + "step": 7758 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016589252503515143, + "loss": 0.7354, + "step": 7759 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016588424920405964, + "loss": 0.8151, + "step": 7760 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001658759725755488, + "loss": 0.7438, + "step": 7761 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001658676951497191, + "loss": 0.7583, + "step": 7762 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016585941692667073, + "loss": 0.9028, + "step": 7763 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016585113790650388, + "loss": 0.8233, + "step": 7764 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016584285808931873, + "loss": 0.8287, + "step": 7765 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016583457747521553, + "loss": 0.7105, + "step": 7766 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001658262960642945, + "loss": 0.76, + "step": 7767 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016581801385665584, + "loss": 0.7522, + "step": 7768 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001658097308523998, + "loss": 0.7568, + "step": 7769 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016580144705162665, + "loss": 0.748, + "step": 7770 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016579316245443667, + "loss": 0.7037, + "step": 7771 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016578487706093008, + "loss": 0.7215, + "step": 7772 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001657765908712072, + "loss": 0.7726, + "step": 7773 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016576830388536831, + "loss": 0.7774, + "step": 7774 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001657600161035137, + "loss": 0.8311, + "step": 7775 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016575172752574368, + "loss": 0.6522, + "step": 7776 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016574343815215859, + "loss": 0.8768, + "step": 7777 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016573514798285874, + "loss": 0.8635, + "step": 7778 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016572685701794448, + "loss": 0.8478, + "step": 7779 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016571856525751614, + "loss": 0.6649, + "step": 7780 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001657102727016741, + "loss": 0.7638, + "step": 7781 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001657019793505187, + "loss": 0.7942, + "step": 7782 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016569368520415035, + "loss": 0.7793, + "step": 7783 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016568539026266945, + "loss": 0.6441, + "step": 7784 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016567709452617633, + "loss": 0.8234, + "step": 7785 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016566879799477147, + "loss": 0.6625, + "step": 7786 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001656605006685552, + "loss": 0.6988, + "step": 7787 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016565220254762805, + "loss": 0.8021, + "step": 7788 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016564390363209036, + "loss": 0.7485, + "step": 7789 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016563560392204266, + "loss": 0.6933, + "step": 7790 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016562730341758533, + "loss": 0.7805, + "step": 7791 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016561900211881886, + "loss": 0.7435, + "step": 7792 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016561070002584372, + "loss": 0.8134, + "step": 7793 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001656023971387604, + "loss": 0.7898, + "step": 7794 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016559409345766942, + "loss": 0.7619, + "step": 7795 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016558578898267126, + "loss": 0.7385, + "step": 7796 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016557748371386638, + "loss": 0.8179, + "step": 7797 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016556917765135536, + "loss": 0.707, + "step": 7798 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016556087079523874, + "loss": 0.8027, + "step": 7799 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016555256314561704, + "loss": 0.8891, + "step": 7800 + }, + { + "epoch": 0.27, + "eval_loss": 0.7663759589195251, + "eval_runtime": 851.9669, + "eval_samples_per_second": 28.241, + "eval_steps_per_second": 14.12, + "step": 7800 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001655442547025908, + "loss": 0.7211, + "step": 7801 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016553594546626061, + "loss": 0.8017, + "step": 7802 + }, + { + "epoch": 0.27, + "learning_rate": 0.000165527635436727, + "loss": 0.7575, + "step": 7803 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016551932461409056, + "loss": 0.8638, + "step": 7804 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001655110129984519, + "loss": 0.8173, + "step": 7805 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001655027005899116, + "loss": 0.7374, + "step": 7806 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016549438738857025, + "loss": 0.8129, + "step": 7807 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016548607339452853, + "loss": 0.7028, + "step": 7808 + }, + { + "epoch": 0.27, + "learning_rate": 0.000165477758607887, + "loss": 0.8346, + "step": 7809 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016546944302874635, + "loss": 0.7802, + "step": 7810 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016546112665720718, + "loss": 0.8033, + "step": 7811 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016545280949337014, + "loss": 0.8219, + "step": 7812 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016544449153733598, + "loss": 0.8919, + "step": 7813 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016543617278920526, + "loss": 0.8879, + "step": 7814 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016542785324907876, + "loss": 0.7664, + "step": 7815 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016541953291705715, + "loss": 0.8102, + "step": 7816 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016541121179324106, + "loss": 0.8339, + "step": 7817 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001654028898777313, + "loss": 0.7587, + "step": 7818 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016539456717062855, + "loss": 0.8106, + "step": 7819 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016538624367203357, + "loss": 0.7993, + "step": 7820 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016537791938204705, + "loss": 0.7915, + "step": 7821 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016536959430076976, + "loss": 0.7977, + "step": 7822 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001653612684283025, + "loss": 0.705, + "step": 7823 + }, + { + "epoch": 0.27, + "learning_rate": 0.000165352941764746, + "loss": 0.8395, + "step": 7824 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016534461431020106, + "loss": 0.8388, + "step": 7825 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016533628606476848, + "loss": 0.7634, + "step": 7826 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016532795702854902, + "loss": 0.8033, + "step": 7827 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016531962720164352, + "loss": 0.7247, + "step": 7828 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001653112965841528, + "loss": 0.7774, + "step": 7829 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016530296517617768, + "loss": 0.6701, + "step": 7830 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016529463297781897, + "loss": 0.7294, + "step": 7831 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016528629998917754, + "loss": 0.7797, + "step": 7832 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001652779662103543, + "loss": 0.7651, + "step": 7833 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016526963164145003, + "loss": 0.7624, + "step": 7834 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016526129628256566, + "loss": 0.7702, + "step": 7835 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016525296013380204, + "loss": 0.8302, + "step": 7836 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016524462319526012, + "loss": 0.7312, + "step": 7837 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016523628546704074, + "loss": 0.862, + "step": 7838 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016522794694924487, + "loss": 0.6627, + "step": 7839 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016521960764197336, + "loss": 0.6922, + "step": 7840 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016521126754532724, + "loss": 0.8735, + "step": 7841 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001652029266594074, + "loss": 0.7525, + "step": 7842 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016519458498431478, + "loss": 0.7597, + "step": 7843 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016518624252015037, + "loss": 0.8558, + "step": 7844 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016517789926701512, + "loss": 0.833, + "step": 7845 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016516955522501001, + "loss": 0.7884, + "step": 7846 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016516121039423606, + "loss": 0.7755, + "step": 7847 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016515286477479423, + "loss": 0.7264, + "step": 7848 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001651445183667856, + "loss": 0.8368, + "step": 7849 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001651361711703111, + "loss": 0.692, + "step": 7850 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016512782318547182, + "loss": 0.7607, + "step": 7851 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016511947441236877, + "loss": 0.7587, + "step": 7852 + }, + { + "epoch": 0.27, + "learning_rate": 0.000165111124851103, + "loss": 0.7486, + "step": 7853 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001651027745017756, + "loss": 0.6887, + "step": 7854 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001650944233644876, + "loss": 0.7453, + "step": 7855 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016508607143934006, + "loss": 0.701, + "step": 7856 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016507771872643413, + "loss": 0.755, + "step": 7857 + }, + { + "epoch": 0.27, + "learning_rate": 0.00016506936522587087, + "loss": 0.7816, + "step": 7858 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016506101093775137, + "loss": 0.7108, + "step": 7859 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016505265586217677, + "loss": 0.6386, + "step": 7860 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016504429999924817, + "loss": 0.7384, + "step": 7861 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016503594334906673, + "loss": 0.7625, + "step": 7862 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016502758591173356, + "loss": 0.7756, + "step": 7863 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016501922768734988, + "loss": 0.8006, + "step": 7864 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016501086867601677, + "loss": 0.8112, + "step": 7865 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016500250887783544, + "loss": 0.7771, + "step": 7866 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001649941482929071, + "loss": 0.7297, + "step": 7867 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001649857869213329, + "loss": 0.7528, + "step": 7868 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016497742476321404, + "loss": 0.8049, + "step": 7869 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016496906181865173, + "loss": 0.7346, + "step": 7870 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016496069808774721, + "loss": 0.6947, + "step": 7871 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016495233357060173, + "loss": 0.7135, + "step": 7872 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016494396826731645, + "loss": 0.869, + "step": 7873 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001649356021779927, + "loss": 0.7715, + "step": 7874 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001649272353027317, + "loss": 0.8613, + "step": 7875 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016491886764163468, + "loss": 0.822, + "step": 7876 + }, + { + "epoch": 0.28, + "learning_rate": 0.000164910499194803, + "loss": 0.7344, + "step": 7877 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001649021299623379, + "loss": 0.821, + "step": 7878 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016489375994434066, + "loss": 0.7712, + "step": 7879 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016488538914091264, + "loss": 0.7195, + "step": 7880 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001648770175521551, + "loss": 0.734, + "step": 7881 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016486864517816936, + "loss": 0.6967, + "step": 7882 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001648602720190568, + "loss": 0.8391, + "step": 7883 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016485189807491875, + "loss": 0.8486, + "step": 7884 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016484352334585653, + "loss": 0.7107, + "step": 7885 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016483514783197155, + "loss": 0.7037, + "step": 7886 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016482677153336513, + "loss": 0.7293, + "step": 7887 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016481839445013868, + "loss": 0.8651, + "step": 7888 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016481001658239362, + "loss": 0.6405, + "step": 7889 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001648016379302313, + "loss": 0.7112, + "step": 7890 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016479325849375314, + "loss": 0.8545, + "step": 7891 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016478487827306055, + "loss": 0.8436, + "step": 7892 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016477649726825502, + "loss": 0.7623, + "step": 7893 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016476811547943792, + "loss": 0.7699, + "step": 7894 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016475973290671072, + "loss": 0.71, + "step": 7895 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001647513495501749, + "loss": 0.7439, + "step": 7896 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016474296540993185, + "loss": 0.8216, + "step": 7897 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016473458048608315, + "loss": 0.7549, + "step": 7898 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016472619477873025, + "loss": 0.7841, + "step": 7899 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016471780828797457, + "loss": 0.8083, + "step": 7900 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016470942101391774, + "loss": 0.7893, + "step": 7901 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016470103295666117, + "loss": 0.6678, + "step": 7902 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016469264411630644, + "loss": 0.7422, + "step": 7903 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016468425449295504, + "loss": 0.7738, + "step": 7904 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016467586408670858, + "loss": 0.799, + "step": 7905 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016466747289766852, + "loss": 0.8305, + "step": 7906 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016465908092593652, + "loss": 0.8099, + "step": 7907 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016465068817161409, + "loss": 0.8511, + "step": 7908 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016464229463480283, + "loss": 0.7406, + "step": 7909 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016463390031560432, + "loss": 0.6964, + "step": 7910 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016462550521412014, + "loss": 0.8122, + "step": 7911 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016461710933045193, + "loss": 0.8094, + "step": 7912 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001646087126647013, + "loss": 0.8303, + "step": 7913 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001646003152169699, + "loss": 0.858, + "step": 7914 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016459191698735932, + "loss": 0.7864, + "step": 7915 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016458351797597124, + "loss": 0.9528, + "step": 7916 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016457511818290728, + "loss": 0.7847, + "step": 7917 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016456671760826916, + "loss": 0.6732, + "step": 7918 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016455831625215853, + "loss": 0.7544, + "step": 7919 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016454991411467707, + "loss": 0.8595, + "step": 7920 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016454151119592647, + "loss": 0.8003, + "step": 7921 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016453310749600842, + "loss": 0.9295, + "step": 7922 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001645247030150247, + "loss": 0.8662, + "step": 7923 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016451629775307694, + "loss": 0.8151, + "step": 7924 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016450789171026692, + "loss": 0.7393, + "step": 7925 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016449948488669639, + "loss": 0.6787, + "step": 7926 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016449107728246708, + "loss": 0.8316, + "step": 7927 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001644826688976808, + "loss": 0.7789, + "step": 7928 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001644742597324392, + "loss": 0.8293, + "step": 7929 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001644658497868442, + "loss": 0.8566, + "step": 7930 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016445743906099745, + "loss": 0.7675, + "step": 7931 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001644490275550009, + "loss": 0.7195, + "step": 7932 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016444061526895624, + "loss": 0.7473, + "step": 7933 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016443220220296534, + "loss": 0.7995, + "step": 7934 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016442378835713, + "loss": 0.7377, + "step": 7935 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016441537373155206, + "loss": 0.7443, + "step": 7936 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016440695832633338, + "loss": 0.7913, + "step": 7937 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001643985421415758, + "loss": 0.8212, + "step": 7938 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016439012517738123, + "loss": 0.8411, + "step": 7939 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016438170743385147, + "loss": 0.7907, + "step": 7940 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016437328891108843, + "loss": 0.7739, + "step": 7941 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016436486960919405, + "loss": 0.7654, + "step": 7942 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016435644952827013, + "loss": 0.7349, + "step": 7943 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001643480286684187, + "loss": 0.7617, + "step": 7944 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016433960702974155, + "loss": 0.6836, + "step": 7945 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016433118461234075, + "loss": 0.7381, + "step": 7946 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016432276141631818, + "loss": 0.7947, + "step": 7947 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001643143374417757, + "loss": 0.9124, + "step": 7948 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016430591268881543, + "loss": 0.8259, + "step": 7949 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001642974871575392, + "loss": 0.732, + "step": 7950 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016428906084804906, + "loss": 0.7221, + "step": 7951 + }, + { + "epoch": 0.28, + "learning_rate": 0.000164280633760447, + "loss": 0.7426, + "step": 7952 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016427220589483498, + "loss": 0.7921, + "step": 7953 + }, + { + "epoch": 0.28, + "learning_rate": 0.000164263777251315, + "loss": 0.8769, + "step": 7954 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016425534782998913, + "loss": 0.6203, + "step": 7955 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016424691763095936, + "loss": 0.8891, + "step": 7956 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001642384866543277, + "loss": 0.8345, + "step": 7957 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016423005490019622, + "loss": 0.7439, + "step": 7958 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016422162236866698, + "loss": 0.6674, + "step": 7959 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016421318905984202, + "loss": 0.7915, + "step": 7960 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016420475497382344, + "loss": 0.8891, + "step": 7961 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001641963201107133, + "loss": 0.767, + "step": 7962 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016418788447061363, + "loss": 0.7268, + "step": 7963 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016417944805362665, + "loss": 0.7908, + "step": 7964 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001641710108598544, + "loss": 0.8156, + "step": 7965 + }, + { + "epoch": 0.28, + "learning_rate": 0.000164162572889399, + "loss": 0.8042, + "step": 7966 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001641541341423626, + "loss": 0.7318, + "step": 7967 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001641456946188473, + "loss": 0.8788, + "step": 7968 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001641372543189553, + "loss": 0.7408, + "step": 7969 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001641288132427887, + "loss": 0.7881, + "step": 7970 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001641203713904497, + "loss": 0.7503, + "step": 7971 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016411192876204043, + "loss": 0.6924, + "step": 7972 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016410348535766316, + "loss": 0.7943, + "step": 7973 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016409504117742, + "loss": 0.6749, + "step": 7974 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016408659622141317, + "loss": 0.7939, + "step": 7975 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016407815048974494, + "loss": 0.7029, + "step": 7976 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016406970398251747, + "loss": 0.7345, + "step": 7977 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016406125669983298, + "loss": 0.7805, + "step": 7978 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016405280864179378, + "loss": 0.7638, + "step": 7979 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016404435980850205, + "loss": 0.7496, + "step": 7980 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001640359102000601, + "loss": 0.679, + "step": 7981 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016402745981657018, + "loss": 0.9313, + "step": 7982 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016401900865813454, + "loss": 0.7412, + "step": 7983 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001640105567248555, + "loss": 0.813, + "step": 7984 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016400210401683535, + "loss": 0.7794, + "step": 7985 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016399365053417636, + "loss": 0.7421, + "step": 7986 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016398519627698095, + "loss": 0.7747, + "step": 7987 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016397674124535132, + "loss": 0.7792, + "step": 7988 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016396828543938988, + "loss": 0.7394, + "step": 7989 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016395982885919895, + "loss": 0.7391, + "step": 7990 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016395137150488086, + "loss": 0.7479, + "step": 7991 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016394291337653801, + "loss": 0.8246, + "step": 7992 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016393445447427277, + "loss": 0.8312, + "step": 7993 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001639259947981875, + "loss": 0.8472, + "step": 7994 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001639175343483846, + "loss": 0.7178, + "step": 7995 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016390907312496646, + "loss": 0.8833, + "step": 7996 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001639006111280355, + "loss": 0.8594, + "step": 7997 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016389214835769414, + "loss": 0.7593, + "step": 7998 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001638836848140448, + "loss": 0.7076, + "step": 7999 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016387522049718994, + "loss": 0.7919, + "step": 8000 + }, + { + "epoch": 0.28, + "eval_loss": 0.7580129504203796, + "eval_runtime": 848.617, + "eval_samples_per_second": 28.352, + "eval_steps_per_second": 14.176, + "step": 8000 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016386675540723197, + "loss": 0.8154, + "step": 8001 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001638582895442734, + "loss": 0.7586, + "step": 8002 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001638498229084166, + "loss": 0.7752, + "step": 8003 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001638413554997641, + "loss": 0.9047, + "step": 8004 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016383288731841843, + "loss": 0.7838, + "step": 8005 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016382441836448202, + "loss": 0.6608, + "step": 8006 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001638159486380574, + "loss": 0.7845, + "step": 8007 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016380747813924708, + "loss": 0.9333, + "step": 8008 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016379900686815354, + "loss": 0.7312, + "step": 8009 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016379053482487937, + "loss": 0.7276, + "step": 8010 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016378206200952708, + "loss": 0.8733, + "step": 8011 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016377358842219926, + "loss": 0.7027, + "step": 8012 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001637651140629984, + "loss": 0.7213, + "step": 8013 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001637566389320271, + "loss": 0.7038, + "step": 8014 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016374816302938797, + "loss": 0.7371, + "step": 8015 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016373968635518353, + "loss": 0.8513, + "step": 8016 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016373120890951642, + "loss": 0.7866, + "step": 8017 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016372273069248925, + "loss": 0.7027, + "step": 8018 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001637142517042046, + "loss": 0.7548, + "step": 8019 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016370577194476513, + "loss": 0.7405, + "step": 8020 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016369729141427346, + "loss": 0.6814, + "step": 8021 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016368881011283223, + "loss": 0.7205, + "step": 8022 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001636803280405441, + "loss": 0.8248, + "step": 8023 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001636718451975117, + "loss": 0.8112, + "step": 8024 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016366336158383778, + "loss": 0.8927, + "step": 8025 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016365487719962492, + "loss": 0.8979, + "step": 8026 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016364639204497587, + "loss": 0.7555, + "step": 8027 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001636379061199933, + "loss": 0.6475, + "step": 8028 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016362941942477997, + "loss": 0.7602, + "step": 8029 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016362093195943853, + "loss": 0.726, + "step": 8030 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016361244372407172, + "loss": 0.7825, + "step": 8031 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016360395471878234, + "loss": 0.756, + "step": 8032 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016359546494367305, + "loss": 0.6687, + "step": 8033 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016358697439884665, + "loss": 0.7009, + "step": 8034 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016357848308440592, + "loss": 0.6314, + "step": 8035 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016356999100045357, + "loss": 0.7534, + "step": 8036 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016356149814709243, + "loss": 0.7718, + "step": 8037 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001635530045244253, + "loss": 0.7069, + "step": 8038 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016354451013255496, + "loss": 0.7423, + "step": 8039 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001635360149715842, + "loss": 0.8327, + "step": 8040 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001635275190416159, + "loss": 0.6772, + "step": 8041 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016351902234275283, + "loss": 0.8648, + "step": 8042 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016351052487509788, + "loss": 0.7068, + "step": 8043 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016350202663875386, + "loss": 0.7716, + "step": 8044 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001634935276338236, + "loss": 0.6914, + "step": 8045 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016348502786041005, + "loss": 0.7196, + "step": 8046 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016347652731861604, + "loss": 0.5981, + "step": 8047 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016346802600854444, + "loss": 0.627, + "step": 8048 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016345952393029812, + "loss": 0.6384, + "step": 8049 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016345102108398005, + "loss": 0.7982, + "step": 8050 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016344251746969312, + "loss": 0.7597, + "step": 8051 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016343401308754026, + "loss": 0.7555, + "step": 8052 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016342550793762434, + "loss": 0.6855, + "step": 8053 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001634170020200484, + "loss": 0.7619, + "step": 8054 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016340849533491532, + "loss": 0.6085, + "step": 8055 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016339998788232808, + "loss": 0.6389, + "step": 8056 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016339147966238962, + "loss": 0.7298, + "step": 8057 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016338297067520298, + "loss": 0.636, + "step": 8058 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016337446092087106, + "loss": 0.7075, + "step": 8059 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016336595039949695, + "loss": 0.8183, + "step": 8060 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016335743911118363, + "loss": 0.7892, + "step": 8061 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016334892705603408, + "loss": 0.7896, + "step": 8062 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016334041423415134, + "loss": 0.8279, + "step": 8063 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001633319006456384, + "loss": 0.739, + "step": 8064 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016332338629059843, + "loss": 0.8047, + "step": 8065 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016331487116913435, + "loss": 0.864, + "step": 8066 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001633063552813493, + "loss": 0.6756, + "step": 8067 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001632978386273463, + "loss": 0.7314, + "step": 8068 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016328932120722846, + "loss": 0.7493, + "step": 8069 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016328080302109888, + "loss": 0.7774, + "step": 8070 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001632722840690606, + "loss": 0.687, + "step": 8071 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016326376435121679, + "loss": 0.7274, + "step": 8072 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016325524386767053, + "loss": 0.7545, + "step": 8073 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016324672261852497, + "loss": 0.8161, + "step": 8074 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016323820060388323, + "loss": 0.75, + "step": 8075 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016322967782384851, + "loss": 0.7545, + "step": 8076 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016322115427852384, + "loss": 0.8818, + "step": 8077 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016321262996801252, + "loss": 0.8356, + "step": 8078 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016320410489241763, + "loss": 0.736, + "step": 8079 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016319557905184238, + "loss": 0.7802, + "step": 8080 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016318705244638997, + "loss": 0.7484, + "step": 8081 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001631785250761636, + "loss": 0.7692, + "step": 8082 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016316999694126647, + "loss": 0.7231, + "step": 8083 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001631614680418018, + "loss": 0.774, + "step": 8084 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016315293837787284, + "loss": 0.775, + "step": 8085 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001631444079495828, + "loss": 0.8443, + "step": 8086 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001631358767570349, + "loss": 0.7513, + "step": 8087 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001631273448003325, + "loss": 0.7381, + "step": 8088 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016311881207957873, + "loss": 0.7145, + "step": 8089 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016311027859487696, + "loss": 0.7159, + "step": 8090 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016310174434633044, + "loss": 0.709, + "step": 8091 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016309320933404248, + "loss": 0.7452, + "step": 8092 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016308467355811637, + "loss": 0.743, + "step": 8093 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001630761370186554, + "loss": 0.5904, + "step": 8094 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016306759971576292, + "loss": 0.6716, + "step": 8095 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016305906164954223, + "loss": 0.7872, + "step": 8096 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016305052282009668, + "loss": 0.7353, + "step": 8097 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001630419832275297, + "loss": 0.6797, + "step": 8098 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016303344287194453, + "loss": 0.6577, + "step": 8099 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016302490175344457, + "loss": 0.733, + "step": 8100 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016301635987213322, + "loss": 0.7767, + "step": 8101 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016300781722811385, + "loss": 0.7478, + "step": 8102 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016299927382148989, + "loss": 0.7827, + "step": 8103 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001629907296523647, + "loss": 0.6672, + "step": 8104 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016298218472084167, + "loss": 0.8377, + "step": 8105 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016297363902702426, + "loss": 0.7312, + "step": 8106 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016296509257101595, + "loss": 0.7716, + "step": 8107 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001629565453529201, + "loss": 0.7718, + "step": 8108 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016294799737284017, + "loss": 0.8034, + "step": 8109 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016293944863087964, + "loss": 0.8468, + "step": 8110 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016293089912714198, + "loss": 0.8611, + "step": 8111 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016292234886173068, + "loss": 0.7034, + "step": 8112 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001629137978347492, + "loss": 0.8625, + "step": 8113 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016290524604630106, + "loss": 0.7224, + "step": 8114 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016289669349648972, + "loss": 0.6305, + "step": 8115 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016288814018541875, + "loss": 0.7989, + "step": 8116 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016287958611319167, + "loss": 0.7755, + "step": 8117 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016287103127991194, + "loss": 0.7627, + "step": 8118 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016286247568568317, + "loss": 0.6888, + "step": 8119 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016285391933060895, + "loss": 0.8599, + "step": 8120 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016284536221479275, + "loss": 0.6466, + "step": 8121 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016283680433833815, + "loss": 0.7514, + "step": 8122 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016282824570134876, + "loss": 0.8828, + "step": 8123 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016281968630392819, + "loss": 0.7455, + "step": 8124 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016281112614618, + "loss": 0.7319, + "step": 8125 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016280256522820778, + "loss": 0.6674, + "step": 8126 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001627940035501152, + "loss": 0.8646, + "step": 8127 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016278544111200582, + "loss": 0.7239, + "step": 8128 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016277687791398335, + "loss": 0.7766, + "step": 8129 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016276831395615137, + "loss": 0.6805, + "step": 8130 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016275974923861357, + "loss": 0.8056, + "step": 8131 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001627511837614736, + "loss": 0.738, + "step": 8132 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016274261752483512, + "loss": 0.8129, + "step": 8133 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016273405052880184, + "loss": 0.5753, + "step": 8134 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001627254827734774, + "loss": 0.6882, + "step": 8135 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016271691425896555, + "loss": 0.6938, + "step": 8136 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016270834498536996, + "loss": 0.7732, + "step": 8137 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016269977495279435, + "loss": 0.8549, + "step": 8138 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016269120416134247, + "loss": 0.7542, + "step": 8139 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016268263261111804, + "loss": 0.7837, + "step": 8140 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001626740603022248, + "loss": 0.8545, + "step": 8141 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016266548723476652, + "loss": 0.8346, + "step": 8142 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016265691340884694, + "loss": 0.7224, + "step": 8143 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016264833882456987, + "loss": 0.7792, + "step": 8144 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016263976348203905, + "loss": 0.7293, + "step": 8145 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016263118738135828, + "loss": 0.6778, + "step": 8146 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016262261052263135, + "loss": 0.8462, + "step": 8147 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016261403290596208, + "loss": 0.8161, + "step": 8148 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016260545453145432, + "loss": 0.742, + "step": 8149 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016259687539921187, + "loss": 0.6296, + "step": 8150 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016258829550933857, + "loss": 0.6949, + "step": 8151 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016257971486193822, + "loss": 0.7503, + "step": 8152 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016257113345711472, + "loss": 0.7461, + "step": 8153 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016256255129497196, + "loss": 0.7425, + "step": 8154 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016255396837561376, + "loss": 0.7388, + "step": 8155 + }, + { + "epoch": 0.29, + "learning_rate": 0.000162545384699144, + "loss": 0.7036, + "step": 8156 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016253680026566663, + "loss": 0.8417, + "step": 8157 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016252821507528552, + "loss": 0.7385, + "step": 8158 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016251962912810453, + "loss": 0.7047, + "step": 8159 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016251104242422768, + "loss": 0.7772, + "step": 8160 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016250245496375878, + "loss": 0.8509, + "step": 8161 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016249386674680184, + "loss": 0.7995, + "step": 8162 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016248527777346084, + "loss": 0.8017, + "step": 8163 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016247668804383964, + "loss": 0.7792, + "step": 8164 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016246809755804224, + "loss": 0.8439, + "step": 8165 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016245950631617266, + "loss": 0.7885, + "step": 8166 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016245091431833485, + "loss": 0.7386, + "step": 8167 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016244232156463278, + "loss": 0.8148, + "step": 8168 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016243372805517048, + "loss": 0.8015, + "step": 8169 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016242513379005193, + "loss": 0.7334, + "step": 8170 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016241653876938118, + "loss": 0.5909, + "step": 8171 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016240794299326227, + "loss": 0.8422, + "step": 8172 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016239934646179922, + "loss": 0.7445, + "step": 8173 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016239074917509606, + "loss": 0.7427, + "step": 8174 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016238215113325682, + "loss": 0.8269, + "step": 8175 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016237355233638567, + "loss": 0.7428, + "step": 8176 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016236495278458657, + "loss": 0.776, + "step": 8177 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016235635247796365, + "loss": 0.6963, + "step": 8178 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016234775141662103, + "loss": 0.7273, + "step": 8179 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016233914960066276, + "loss": 0.7376, + "step": 8180 + }, + { + "epoch": 0.29, + "learning_rate": 0.000162330547030193, + "loss": 0.7795, + "step": 8181 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016232194370531584, + "loss": 0.8609, + "step": 8182 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001623133396261354, + "loss": 0.7711, + "step": 8183 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016230473479275585, + "loss": 0.7033, + "step": 8184 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001622961292052813, + "loss": 0.676, + "step": 8185 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001622875228638159, + "loss": 0.7067, + "step": 8186 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016227891576846393, + "loss": 0.855, + "step": 8187 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001622703079193294, + "loss": 0.7767, + "step": 8188 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001622616993165166, + "loss": 0.6684, + "step": 8189 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016225308996012968, + "loss": 0.8339, + "step": 8190 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016224447985027288, + "loss": 0.8763, + "step": 8191 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001622358689870503, + "loss": 0.7811, + "step": 8192 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016222725737056632, + "loss": 0.7135, + "step": 8193 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001622186450009251, + "loss": 0.8409, + "step": 8194 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016221003187823088, + "loss": 0.7514, + "step": 8195 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016220141800258784, + "loss": 0.7881, + "step": 8196 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016219280337410034, + "loss": 0.8501, + "step": 8197 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016218418799287258, + "loss": 0.6892, + "step": 8198 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001621755718590089, + "loss": 0.6724, + "step": 8199 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016216695497261348, + "loss": 0.8378, + "step": 8200 + }, + { + "epoch": 0.29, + "eval_loss": 0.7487373352050781, + "eval_runtime": 847.1108, + "eval_samples_per_second": 28.402, + "eval_steps_per_second": 14.201, + "step": 8200 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001621583373337907, + "loss": 0.8322, + "step": 8201 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016214971894264486, + "loss": 0.7669, + "step": 8202 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016214109979928025, + "loss": 0.7055, + "step": 8203 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016213247990380116, + "loss": 0.7119, + "step": 8204 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016212385925631198, + "loss": 0.8403, + "step": 8205 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016211523785691697, + "loss": 0.831, + "step": 8206 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016210661570572053, + "loss": 0.7332, + "step": 8207 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016209799280282705, + "loss": 0.8016, + "step": 8208 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016208936914834086, + "loss": 0.7171, + "step": 8209 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016208074474236627, + "loss": 0.7313, + "step": 8210 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016207211958500775, + "loss": 0.7447, + "step": 8211 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001620634936763697, + "loss": 0.7613, + "step": 8212 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016205486701655647, + "loss": 0.8395, + "step": 8213 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016204623960567252, + "loss": 0.7829, + "step": 8214 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001620376114438222, + "loss": 0.7775, + "step": 8215 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016202898253110998, + "loss": 0.8217, + "step": 8216 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016202035286764032, + "loss": 0.7841, + "step": 8217 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016201172245351766, + "loss": 0.8313, + "step": 8218 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016200309128884644, + "loss": 0.7142, + "step": 8219 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016199445937373113, + "loss": 0.674, + "step": 8220 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016198582670827618, + "loss": 0.6849, + "step": 8221 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016197719329258612, + "loss": 0.7902, + "step": 8222 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016196855912676544, + "loss": 0.7998, + "step": 8223 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001619599242109186, + "loss": 0.8162, + "step": 8224 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016195128854515014, + "loss": 0.7032, + "step": 8225 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016194265212956458, + "loss": 0.755, + "step": 8226 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016193401496426645, + "loss": 0.6581, + "step": 8227 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016192537704936029, + "loss": 0.7698, + "step": 8228 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016191673838495066, + "loss": 0.8353, + "step": 8229 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016190809897114204, + "loss": 0.8716, + "step": 8230 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001618994588080391, + "loss": 0.7643, + "step": 8231 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001618908178957464, + "loss": 0.7341, + "step": 8232 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016188217623436843, + "loss": 0.8699, + "step": 8233 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016187353382400986, + "loss": 0.6853, + "step": 8234 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016186489066477528, + "loss": 0.7792, + "step": 8235 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016185624675676933, + "loss": 0.7735, + "step": 8236 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016184760210009657, + "loss": 0.8713, + "step": 8237 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016183895669486166, + "loss": 0.6961, + "step": 8238 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016183031054116924, + "loss": 0.8471, + "step": 8239 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016182166363912397, + "loss": 0.7307, + "step": 8240 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016181301598883048, + "loss": 0.7705, + "step": 8241 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016180436759039344, + "loss": 0.7519, + "step": 8242 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001617957184439175, + "loss": 0.7589, + "step": 8243 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016178706854950745, + "loss": 0.8588, + "step": 8244 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016177841790726785, + "loss": 0.7579, + "step": 8245 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016176976651730346, + "loss": 0.7598, + "step": 8246 + }, + { + "epoch": 0.29, + "learning_rate": 0.000161761114379719, + "loss": 0.784, + "step": 8247 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001617524614946192, + "loss": 0.7309, + "step": 8248 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016174380786210875, + "loss": 0.7671, + "step": 8249 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001617351534822924, + "loss": 0.7323, + "step": 8250 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001617264983552749, + "loss": 0.7362, + "step": 8251 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016171784248116103, + "loss": 0.6727, + "step": 8252 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001617091858600555, + "loss": 0.7342, + "step": 8253 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016170052849206315, + "loss": 0.7796, + "step": 8254 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016169187037728868, + "loss": 0.627, + "step": 8255 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016168321151583697, + "loss": 0.6448, + "step": 8256 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016167455190781277, + "loss": 0.8894, + "step": 8257 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016166589155332093, + "loss": 0.6518, + "step": 8258 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016165723045246622, + "loss": 0.7422, + "step": 8259 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001616485686053535, + "loss": 0.7565, + "step": 8260 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016163990601208755, + "loss": 0.6413, + "step": 8261 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001616312426727733, + "loss": 0.784, + "step": 8262 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001616225785875156, + "loss": 0.6819, + "step": 8263 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016161391375641926, + "loss": 0.9238, + "step": 8264 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016160524817958915, + "loss": 0.7718, + "step": 8265 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001615965818571302, + "loss": 0.7434, + "step": 8266 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001615879147891473, + "loss": 0.7615, + "step": 8267 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001615792469757453, + "loss": 0.7459, + "step": 8268 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016157057841702916, + "loss": 0.8033, + "step": 8269 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016156190911310376, + "loss": 0.8972, + "step": 8270 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016155323906407408, + "loss": 0.7222, + "step": 8271 + }, + { + "epoch": 0.29, + "learning_rate": 0.000161544568270045, + "loss": 0.7922, + "step": 8272 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001615358967311215, + "loss": 0.7294, + "step": 8273 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016152722444740848, + "loss": 0.7253, + "step": 8274 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016151855141901096, + "loss": 0.7892, + "step": 8275 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016150987764603395, + "loss": 0.7566, + "step": 8276 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016150120312858232, + "loss": 0.6911, + "step": 8277 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016149252786676116, + "loss": 0.76, + "step": 8278 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001614838518606754, + "loss": 0.7135, + "step": 8279 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001614751751104301, + "loss": 0.79, + "step": 8280 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016146649761613024, + "loss": 0.7802, + "step": 8281 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001614578193778809, + "loss": 0.7035, + "step": 8282 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016144914039578704, + "loss": 0.7217, + "step": 8283 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016144046066995376, + "loss": 0.6531, + "step": 8284 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001614317802004861, + "loss": 0.7543, + "step": 8285 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001614230989874891, + "loss": 0.9127, + "step": 8286 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001614144170310679, + "loss": 0.7756, + "step": 8287 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016140573433132748, + "loss": 0.7517, + "step": 8288 + }, + { + "epoch": 0.29, + "learning_rate": 0.000161397050888373, + "loss": 0.744, + "step": 8289 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016138836670230954, + "loss": 0.7954, + "step": 8290 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001613796817732422, + "loss": 0.7664, + "step": 8291 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016137099610127612, + "loss": 0.6658, + "step": 8292 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001613623096865164, + "loss": 0.6617, + "step": 8293 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001613536225290682, + "loss": 0.9434, + "step": 8294 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016134493462903663, + "loss": 0.7747, + "step": 8295 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016133624598652684, + "loss": 0.768, + "step": 8296 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016132755660164407, + "loss": 0.7252, + "step": 8297 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001613188664744934, + "loss": 0.7192, + "step": 8298 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016131017560518004, + "loss": 0.8596, + "step": 8299 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016130148399380918, + "loss": 0.7424, + "step": 8300 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016129279164048602, + "loss": 0.8533, + "step": 8301 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016128409854531577, + "loss": 0.784, + "step": 8302 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016127540470840365, + "loss": 0.6961, + "step": 8303 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016126671012985485, + "loss": 0.6872, + "step": 8304 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016125801480977464, + "loss": 0.6892, + "step": 8305 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016124931874826826, + "loss": 0.7755, + "step": 8306 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016124062194544094, + "loss": 0.8024, + "step": 8307 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016123192440139797, + "loss": 0.7889, + "step": 8308 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016122322611624457, + "loss": 0.7705, + "step": 8309 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016121452709008606, + "loss": 0.8351, + "step": 8310 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016120582732302773, + "loss": 0.8385, + "step": 8311 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016119712681517484, + "loss": 0.6326, + "step": 8312 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016118842556663273, + "loss": 0.698, + "step": 8313 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016117972357750673, + "loss": 0.6968, + "step": 8314 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001611710208479021, + "loss": 0.6879, + "step": 8315 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001611623173779242, + "loss": 0.7905, + "step": 8316 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001611536131676784, + "loss": 0.8373, + "step": 8317 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016114490821727005, + "loss": 0.6341, + "step": 8318 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016113620252680445, + "loss": 0.8127, + "step": 8319 + }, + { + "epoch": 0.29, + "learning_rate": 0.000161127496096387, + "loss": 0.7029, + "step": 8320 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001611187889261231, + "loss": 0.6705, + "step": 8321 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001611100810161181, + "loss": 0.9087, + "step": 8322 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016110137236647744, + "loss": 0.8363, + "step": 8323 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016109266297730649, + "loss": 0.7062, + "step": 8324 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016108395284871065, + "loss": 0.7184, + "step": 8325 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016107524198079537, + "loss": 0.7994, + "step": 8326 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001610665303736661, + "loss": 0.6649, + "step": 8327 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001610578180274282, + "loss": 0.718, + "step": 8328 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001610491049421872, + "loss": 0.8094, + "step": 8329 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016104039111804853, + "loss": 0.7168, + "step": 8330 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001610316765551176, + "loss": 0.7665, + "step": 8331 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001610229612535, + "loss": 0.709, + "step": 8332 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016101424521330112, + "loss": 0.8566, + "step": 8333 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001610055284346265, + "loss": 0.8022, + "step": 8334 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016099681091758162, + "loss": 0.7585, + "step": 8335 + }, + { + "epoch": 0.29, + "learning_rate": 0.000160988092662272, + "loss": 0.7612, + "step": 8336 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016097937366880318, + "loss": 0.726, + "step": 8337 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016097065393728065, + "loss": 0.7713, + "step": 8338 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016096193346780993, + "loss": 0.908, + "step": 8339 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016095321226049664, + "loss": 0.7423, + "step": 8340 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001609444903154463, + "loss": 0.8225, + "step": 8341 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016093576763276444, + "loss": 0.7689, + "step": 8342 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016092704421255668, + "loss": 0.8501, + "step": 8343 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016091832005492862, + "loss": 0.6927, + "step": 8344 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001609095951599858, + "loss": 0.6989, + "step": 8345 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001609008695278338, + "loss": 0.6892, + "step": 8346 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016089214315857833, + "loss": 0.8762, + "step": 8347 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001608834160523249, + "loss": 0.6656, + "step": 8348 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001608746882091792, + "loss": 0.6907, + "step": 8349 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016086595962924686, + "loss": 0.7468, + "step": 8350 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001608572303126335, + "loss": 0.7615, + "step": 8351 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001608485002594448, + "loss": 0.7077, + "step": 8352 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001608397694697864, + "loss": 0.8116, + "step": 8353 + }, + { + "epoch": 0.29, + "learning_rate": 0.000160831037943764, + "loss": 0.7845, + "step": 8354 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016082230568148322, + "loss": 0.8111, + "step": 8355 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016081357268304985, + "loss": 0.8169, + "step": 8356 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001608048389485695, + "loss": 0.8848, + "step": 8357 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001607961044781479, + "loss": 0.755, + "step": 8358 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001607873692718908, + "loss": 0.8312, + "step": 8359 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001607786333299039, + "loss": 0.7596, + "step": 8360 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016076989665229295, + "loss": 0.7263, + "step": 8361 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016076115923916362, + "loss": 0.8086, + "step": 8362 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016075242109062177, + "loss": 0.7077, + "step": 8363 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016074368220677306, + "loss": 0.9911, + "step": 8364 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016073494258772336, + "loss": 0.7826, + "step": 8365 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001607262022335784, + "loss": 0.7054, + "step": 8366 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016071746114444392, + "loss": 0.816, + "step": 8367 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016070871932042578, + "loss": 0.7435, + "step": 8368 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001606999767616298, + "loss": 0.7934, + "step": 8369 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001606912334681617, + "loss": 0.7305, + "step": 8370 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016068248944012741, + "loss": 0.6569, + "step": 8371 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001606737446776327, + "loss": 0.6924, + "step": 8372 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016066499918078342, + "loss": 0.7445, + "step": 8373 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016065625294968544, + "loss": 0.9096, + "step": 8374 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001606475059844446, + "loss": 0.7475, + "step": 8375 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016063875828516676, + "loss": 0.7484, + "step": 8376 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016063000985195783, + "loss": 0.8209, + "step": 8377 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016062126068492366, + "loss": 0.7852, + "step": 8378 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016061251078417017, + "loss": 0.8619, + "step": 8379 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016060376014980326, + "loss": 0.7932, + "step": 8380 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001605950087819288, + "loss": 0.7274, + "step": 8381 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016058625668065275, + "loss": 0.6823, + "step": 8382 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016057750384608106, + "loss": 0.6906, + "step": 8383 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001605687502783196, + "loss": 0.7374, + "step": 8384 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001605599959774744, + "loss": 0.6817, + "step": 8385 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016055124094365133, + "loss": 0.7467, + "step": 8386 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016054248517695645, + "loss": 0.8596, + "step": 8387 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016053372867749565, + "loss": 0.8161, + "step": 8388 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016052497144537498, + "loss": 0.6993, + "step": 8389 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016051621348070033, + "loss": 0.8059, + "step": 8390 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016050745478357782, + "loss": 0.6621, + "step": 8391 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016049869535411345, + "loss": 0.711, + "step": 8392 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016048993519241313, + "loss": 0.7629, + "step": 8393 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016048117429858297, + "loss": 0.6447, + "step": 8394 + }, + { + "epoch": 0.29, + "learning_rate": 0.000160472412672729, + "loss": 0.753, + "step": 8395 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016046365031495725, + "loss": 0.6464, + "step": 8396 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016045488722537377, + "loss": 0.7754, + "step": 8397 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016044612340408466, + "loss": 0.6515, + "step": 8398 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016043735885119592, + "loss": 0.7831, + "step": 8399 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016042859356681368, + "loss": 0.6804, + "step": 8400 + }, + { + "epoch": 0.29, + "eval_loss": 0.7389582395553589, + "eval_runtime": 845.0308, + "eval_samples_per_second": 28.472, + "eval_steps_per_second": 14.236, + "step": 8400 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016041982755104405, + "loss": 0.7157, + "step": 8401 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016041106080399309, + "loss": 0.6699, + "step": 8402 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016040229332576691, + "loss": 0.6415, + "step": 8403 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016039352511647162, + "loss": 0.7075, + "step": 8404 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001603847561762134, + "loss": 0.6814, + "step": 8405 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001603759865050983, + "loss": 0.8936, + "step": 8406 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016036721610323252, + "loss": 0.6906, + "step": 8407 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001603584449707222, + "loss": 0.7066, + "step": 8408 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001603496731076735, + "loss": 0.7254, + "step": 8409 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016034090051419257, + "loss": 0.8299, + "step": 8410 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001603321271903856, + "loss": 0.8019, + "step": 8411 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016032335313635878, + "loss": 0.7746, + "step": 8412 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016031457835221827, + "loss": 0.675, + "step": 8413 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016030580283807035, + "loss": 0.7124, + "step": 8414 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016029702659402117, + "loss": 0.6466, + "step": 8415 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016028824962017695, + "loss": 0.6163, + "step": 8416 + }, + { + "epoch": 0.29, + "learning_rate": 0.000160279471916644, + "loss": 0.6717, + "step": 8417 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016027069348352845, + "loss": 0.7091, + "step": 8418 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016026191432093662, + "loss": 0.6736, + "step": 8419 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016025313442897475, + "loss": 0.8486, + "step": 8420 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016024435380774908, + "loss": 0.7407, + "step": 8421 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016023557245736593, + "loss": 0.6946, + "step": 8422 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016022679037793155, + "loss": 0.7505, + "step": 8423 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016021800756955225, + "loss": 0.6799, + "step": 8424 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016020922403233435, + "loss": 0.7492, + "step": 8425 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001602004397663841, + "loss": 0.7285, + "step": 8426 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016019165477180786, + "loss": 0.9025, + "step": 8427 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016018286904871193, + "loss": 0.7534, + "step": 8428 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016017408259720272, + "loss": 0.7541, + "step": 8429 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001601652954173865, + "loss": 0.7458, + "step": 8430 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001601565075093696, + "loss": 0.6478, + "step": 8431 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016014771887325847, + "loss": 0.8409, + "step": 8432 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016013892950915947, + "loss": 0.8391, + "step": 8433 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016013013941717895, + "loss": 0.7382, + "step": 8434 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016012134859742325, + "loss": 0.7362, + "step": 8435 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016011255704999884, + "loss": 0.7824, + "step": 8436 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016010376477501213, + "loss": 0.7549, + "step": 8437 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016009497177256948, + "loss": 0.7057, + "step": 8438 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001600861780427774, + "loss": 0.6665, + "step": 8439 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016007738358574222, + "loss": 0.6584, + "step": 8440 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016006858840157047, + "loss": 0.7983, + "step": 8441 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016005979249036854, + "loss": 0.7661, + "step": 8442 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016005099585224291, + "loss": 0.7254, + "step": 8443 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016004219848730008, + "loss": 0.8556, + "step": 8444 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016003340039564648, + "loss": 0.8017, + "step": 8445 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001600246015773886, + "loss": 0.6044, + "step": 8446 + }, + { + "epoch": 0.3, + "learning_rate": 0.000160015802032633, + "loss": 0.829, + "step": 8447 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001600070017614861, + "loss": 0.7718, + "step": 8448 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015999820076405448, + "loss": 0.7576, + "step": 8449 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001599893990404446, + "loss": 0.7252, + "step": 8450 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015998059659076303, + "loss": 0.7937, + "step": 8451 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001599717934151163, + "loss": 0.7312, + "step": 8452 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015996298951361095, + "loss": 0.7191, + "step": 8453 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015995418488635353, + "loss": 0.6887, + "step": 8454 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015994537953345066, + "loss": 0.7294, + "step": 8455 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015993657345500886, + "loss": 0.8791, + "step": 8456 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001599277666511347, + "loss": 0.7667, + "step": 8457 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001599189591219348, + "loss": 0.6896, + "step": 8458 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015991015086751578, + "loss": 0.7426, + "step": 8459 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015990134188798423, + "loss": 0.875, + "step": 8460 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015989253218344675, + "loss": 0.7608, + "step": 8461 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015988372175400998, + "loss": 0.7917, + "step": 8462 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015987491059978054, + "loss": 0.6803, + "step": 8463 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001598660987208651, + "loss": 0.764, + "step": 8464 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015985728611737034, + "loss": 0.6833, + "step": 8465 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015984847278940287, + "loss": 0.7614, + "step": 8466 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015983965873706937, + "loss": 0.8396, + "step": 8467 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015983084396047653, + "loss": 0.8639, + "step": 8468 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015982202845973105, + "loss": 0.6823, + "step": 8469 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015981321223493958, + "loss": 0.822, + "step": 8470 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015980439528620887, + "loss": 0.6612, + "step": 8471 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015979557761364562, + "loss": 0.7114, + "step": 8472 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015978675921735658, + "loss": 0.88, + "step": 8473 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015977794009744845, + "loss": 0.8035, + "step": 8474 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015976912025402796, + "loss": 0.6778, + "step": 8475 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001597602996872019, + "loss": 0.7324, + "step": 8476 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015975147839707697, + "loss": 0.7401, + "step": 8477 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015974265638375997, + "loss": 0.7479, + "step": 8478 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015973383364735773, + "loss": 0.7409, + "step": 8479 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015972501018797695, + "loss": 0.6951, + "step": 8480 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015971618600572445, + "loss": 0.8301, + "step": 8481 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015970736110070704, + "loss": 0.8354, + "step": 8482 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015969853547303156, + "loss": 0.7403, + "step": 8483 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015968970912280477, + "loss": 0.7305, + "step": 8484 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015968088205013355, + "loss": 0.7541, + "step": 8485 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015967205425512467, + "loss": 0.8065, + "step": 8486 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015966322573788506, + "loss": 0.7235, + "step": 8487 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015965439649852153, + "loss": 0.7744, + "step": 8488 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015964556653714094, + "loss": 0.6757, + "step": 8489 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015963673585385016, + "loss": 0.7107, + "step": 8490 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001596279044487561, + "loss": 0.7569, + "step": 8491 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001596190723219656, + "loss": 0.7617, + "step": 8492 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001596102394735856, + "loss": 0.6989, + "step": 8493 + }, + { + "epoch": 0.3, + "learning_rate": 0.000159601405903723, + "loss": 0.8243, + "step": 8494 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015959257161248473, + "loss": 0.6615, + "step": 8495 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015958373659997766, + "loss": 0.8584, + "step": 8496 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015957490086630877, + "loss": 0.8134, + "step": 8497 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015956606441158502, + "loss": 0.7382, + "step": 8498 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015955722723591328, + "loss": 0.7814, + "step": 8499 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015954838933940056, + "loss": 0.7296, + "step": 8500 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015953955072215385, + "loss": 0.8279, + "step": 8501 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015953071138428014, + "loss": 0.8089, + "step": 8502 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001595218713258863, + "loss": 0.7136, + "step": 8503 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015951303054707948, + "loss": 0.8381, + "step": 8504 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015950418904796658, + "loss": 0.7815, + "step": 8505 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001594953468286546, + "loss": 0.7174, + "step": 8506 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015948650388925066, + "loss": 0.6491, + "step": 8507 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015947766022986169, + "loss": 0.7103, + "step": 8508 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015946881585059478, + "loss": 0.7031, + "step": 8509 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015945997075155694, + "loss": 0.7611, + "step": 8510 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015945112493285528, + "loss": 0.7877, + "step": 8511 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001594422783945968, + "loss": 0.7171, + "step": 8512 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015943343113688862, + "loss": 0.8212, + "step": 8513 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001594245831598378, + "loss": 0.8636, + "step": 8514 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015941573446355144, + "loss": 0.6458, + "step": 8515 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015940688504813662, + "loss": 0.8482, + "step": 8516 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015939803491370048, + "loss": 0.7366, + "step": 8517 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001593891840603501, + "loss": 0.7289, + "step": 8518 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001593803324881926, + "loss": 0.7933, + "step": 8519 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001593714801973352, + "loss": 0.6949, + "step": 8520 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015936262718788496, + "loss": 0.7604, + "step": 8521 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015935377345994902, + "loss": 0.7342, + "step": 8522 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015934491901363457, + "loss": 0.8166, + "step": 8523 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001593360638490488, + "loss": 0.6918, + "step": 8524 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015932720796629885, + "loss": 0.7146, + "step": 8525 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015931835136549194, + "loss": 0.766, + "step": 8526 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001593094940467352, + "loss": 0.6606, + "step": 8527 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015930063601013588, + "loss": 0.7582, + "step": 8528 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015929177725580121, + "loss": 0.7806, + "step": 8529 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001592829177838384, + "loss": 0.722, + "step": 8530 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015927405759435468, + "loss": 0.737, + "step": 8531 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015926519668745724, + "loss": 0.7559, + "step": 8532 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015925633506325338, + "loss": 0.9812, + "step": 8533 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015924747272185035, + "loss": 0.8583, + "step": 8534 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015923860966335536, + "loss": 0.7172, + "step": 8535 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015922974588787576, + "loss": 0.7601, + "step": 8536 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015922088139551876, + "loss": 0.8513, + "step": 8537 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015921201618639174, + "loss": 0.6837, + "step": 8538 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001592031502606019, + "loss": 0.7294, + "step": 8539 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015919428361825663, + "loss": 0.7408, + "step": 8540 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015918541625946318, + "loss": 0.721, + "step": 8541 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001591765481843289, + "loss": 0.674, + "step": 8542 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015916767939296112, + "loss": 0.7064, + "step": 8543 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015915880988546719, + "loss": 0.7808, + "step": 8544 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015914993966195445, + "loss": 0.7754, + "step": 8545 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015914106872253028, + "loss": 0.8003, + "step": 8546 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015913219706730205, + "loss": 0.7021, + "step": 8547 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001591233246963771, + "loss": 0.7721, + "step": 8548 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015911445160986284, + "loss": 0.7204, + "step": 8549 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015910557780786667, + "loss": 0.7566, + "step": 8550 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015909670329049597, + "loss": 0.8163, + "step": 8551 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015908782805785818, + "loss": 0.8047, + "step": 8552 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015907895211006068, + "loss": 0.7139, + "step": 8553 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015907007544721093, + "loss": 0.6707, + "step": 8554 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015906119806941636, + "loss": 0.8187, + "step": 8555 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015905231997678443, + "loss": 0.7422, + "step": 8556 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015904344116942257, + "loss": 0.7649, + "step": 8557 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015903456164743826, + "loss": 0.6344, + "step": 8558 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015902568141093896, + "loss": 0.75, + "step": 8559 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015901680046003216, + "loss": 0.7977, + "step": 8560 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015900791879482531, + "loss": 0.7932, + "step": 8561 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015899903641542599, + "loss": 0.7565, + "step": 8562 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015899015332194164, + "loss": 0.6355, + "step": 8563 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001589812695144798, + "loss": 0.8391, + "step": 8564 + }, + { + "epoch": 0.3, + "learning_rate": 0.000158972384993148, + "loss": 0.8492, + "step": 8565 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015896349975805376, + "loss": 0.786, + "step": 8566 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001589546138093046, + "loss": 0.6728, + "step": 8567 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001589457271470081, + "loss": 0.7494, + "step": 8568 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001589368397712718, + "loss": 0.647, + "step": 8569 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015892795168220326, + "loss": 0.7621, + "step": 8570 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015891906287991011, + "loss": 0.8127, + "step": 8571 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001589101733644999, + "loss": 0.6677, + "step": 8572 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015890128313608018, + "loss": 0.6824, + "step": 8573 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001588923921947586, + "loss": 0.7288, + "step": 8574 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015888350054064275, + "loss": 0.7049, + "step": 8575 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015887460817384027, + "loss": 0.6655, + "step": 8576 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001588657150944588, + "loss": 0.7982, + "step": 8577 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015885682130260592, + "loss": 0.8598, + "step": 8578 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015884792679838933, + "loss": 0.7315, + "step": 8579 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015883903158191664, + "loss": 0.7608, + "step": 8580 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015883013565329553, + "loss": 0.8462, + "step": 8581 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015882123901263368, + "loss": 0.7683, + "step": 8582 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015881234166003876, + "loss": 0.758, + "step": 8583 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015880344359561844, + "loss": 0.6618, + "step": 8584 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001587945448194805, + "loss": 0.7301, + "step": 8585 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015878564533173251, + "loss": 0.6538, + "step": 8586 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015877674513248226, + "loss": 0.6992, + "step": 8587 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001587678442218375, + "loss": 0.6954, + "step": 8588 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015875894259990587, + "loss": 0.7196, + "step": 8589 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001587500402667952, + "loss": 0.8491, + "step": 8590 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001587411372226132, + "loss": 0.6664, + "step": 8591 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015873223346746763, + "loss": 0.7081, + "step": 8592 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015872332900146625, + "loss": 0.7611, + "step": 8593 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015871442382471687, + "loss": 0.7924, + "step": 8594 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015870551793732717, + "loss": 0.6592, + "step": 8595 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015869661133940504, + "loss": 0.6314, + "step": 8596 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015868770403105827, + "loss": 0.7294, + "step": 8597 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015867879601239466, + "loss": 0.7251, + "step": 8598 + }, + { + "epoch": 0.3, + "learning_rate": 0.000158669887283522, + "loss": 0.712, + "step": 8599 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015866097784454812, + "loss": 0.6921, + "step": 8600 + }, + { + "epoch": 0.3, + "eval_loss": 0.7307732701301575, + "eval_runtime": 844.7155, + "eval_samples_per_second": 28.483, + "eval_steps_per_second": 14.241, + "step": 8600 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015865206769558084, + "loss": 0.7673, + "step": 8601 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015864315683672807, + "loss": 0.6944, + "step": 8602 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015863424526809763, + "loss": 0.6777, + "step": 8603 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015862533298979735, + "loss": 0.6815, + "step": 8604 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001586164200019351, + "loss": 0.7906, + "step": 8605 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001586075063046188, + "loss": 0.6688, + "step": 8606 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015859859189795627, + "loss": 0.5681, + "step": 8607 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015858967678205547, + "loss": 0.6749, + "step": 8608 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015858076095702427, + "loss": 0.6714, + "step": 8609 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001585718444229706, + "loss": 0.7469, + "step": 8610 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015856292718000235, + "loss": 0.8347, + "step": 8611 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015855400922822746, + "loss": 0.6918, + "step": 8612 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015854509056775388, + "loss": 0.8152, + "step": 8613 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015853617119868956, + "loss": 0.7357, + "step": 8614 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015852725112114243, + "loss": 0.8438, + "step": 8615 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015851833033522046, + "loss": 0.6463, + "step": 8616 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001585094088410316, + "loss": 0.6991, + "step": 8617 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001585004866386839, + "loss": 0.7508, + "step": 8618 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001584915637282853, + "loss": 0.7571, + "step": 8619 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015848264010994375, + "loss": 0.6982, + "step": 8620 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015847371578376734, + "loss": 0.8079, + "step": 8621 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015846479074986406, + "loss": 0.8363, + "step": 8622 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015845586500834192, + "loss": 0.6997, + "step": 8623 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015844693855930893, + "loss": 0.6722, + "step": 8624 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015843801140287317, + "loss": 0.701, + "step": 8625 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015842908353914264, + "loss": 0.7192, + "step": 8626 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001584201549682255, + "loss": 0.7531, + "step": 8627 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001584112256902297, + "loss": 0.8781, + "step": 8628 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015840229570526337, + "loss": 0.7842, + "step": 8629 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015839336501343457, + "loss": 0.8068, + "step": 8630 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001583844336148514, + "loss": 0.7565, + "step": 8631 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015837550150962196, + "loss": 0.772, + "step": 8632 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001583665686978544, + "loss": 0.72, + "step": 8633 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015835763517965673, + "loss": 0.8477, + "step": 8634 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015834870095513716, + "loss": 0.8386, + "step": 8635 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015833976602440384, + "loss": 0.6869, + "step": 8636 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015833083038756485, + "loss": 0.6566, + "step": 8637 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015832189404472836, + "loss": 0.7296, + "step": 8638 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001583129569960026, + "loss": 0.6653, + "step": 8639 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001583040192414956, + "loss": 0.6907, + "step": 8640 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015829508078131567, + "loss": 0.6677, + "step": 8641 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015828614161557088, + "loss": 0.6526, + "step": 8642 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015827720174436954, + "loss": 0.7057, + "step": 8643 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015826826116781978, + "loss": 0.6328, + "step": 8644 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015825931988602983, + "loss": 0.7188, + "step": 8645 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001582503778991079, + "loss": 0.812, + "step": 8646 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001582414352071622, + "loss": 0.7177, + "step": 8647 + }, + { + "epoch": 0.3, + "learning_rate": 0.000158232491810301, + "loss": 0.7157, + "step": 8648 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015822354770863255, + "loss": 0.7071, + "step": 8649 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015821460290226509, + "loss": 0.718, + "step": 8650 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015820565739130686, + "loss": 0.7718, + "step": 8651 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015819671117586615, + "loss": 0.81, + "step": 8652 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015818776425605125, + "loss": 0.7394, + "step": 8653 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015817881663197044, + "loss": 0.7549, + "step": 8654 + }, + { + "epoch": 0.3, + "learning_rate": 0.000158169868303732, + "loss": 0.6472, + "step": 8655 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015816091927144425, + "loss": 0.7525, + "step": 8656 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015815196953521552, + "loss": 0.7574, + "step": 8657 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001581430190951541, + "loss": 0.7003, + "step": 8658 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015813406795136831, + "loss": 0.7158, + "step": 8659 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001581251161039665, + "loss": 0.721, + "step": 8660 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015811616355305709, + "loss": 0.7357, + "step": 8661 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015810721029874833, + "loss": 0.7058, + "step": 8662 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015809825634114866, + "loss": 0.6826, + "step": 8663 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015808930168036638, + "loss": 0.755, + "step": 8664 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015808034631650992, + "loss": 0.7733, + "step": 8665 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015807139024968768, + "loss": 0.7797, + "step": 8666 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015806243348000804, + "loss": 0.8046, + "step": 8667 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001580534760075794, + "loss": 0.6108, + "step": 8668 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015804451783251014, + "loss": 0.8705, + "step": 8669 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015803555895490878, + "loss": 0.8084, + "step": 8670 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015802659937488368, + "loss": 0.6927, + "step": 8671 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015801763909254333, + "loss": 0.6428, + "step": 8672 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015800867810799611, + "loss": 0.6918, + "step": 8673 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015799971642135052, + "loss": 0.7685, + "step": 8674 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015799075403271506, + "loss": 0.7513, + "step": 8675 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015798179094219812, + "loss": 0.7395, + "step": 8676 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015797282714990823, + "loss": 0.7533, + "step": 8677 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015796386265595392, + "loss": 0.6869, + "step": 8678 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015795489746044363, + "loss": 0.7832, + "step": 8679 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015794593156348588, + "loss": 0.7197, + "step": 8680 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001579369649651892, + "loss": 0.6338, + "step": 8681 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015792799766566214, + "loss": 0.8052, + "step": 8682 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001579190296650132, + "loss": 0.7657, + "step": 8683 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015791006096335091, + "loss": 0.7339, + "step": 8684 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015790109156078386, + "loss": 0.8014, + "step": 8685 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001578921214574206, + "loss": 0.7393, + "step": 8686 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015788315065336965, + "loss": 0.9278, + "step": 8687 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015787417914873967, + "loss": 0.6602, + "step": 8688 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015786520694363918, + "loss": 0.7326, + "step": 8689 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001578562340381768, + "loss": 0.7433, + "step": 8690 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015784726043246115, + "loss": 0.6405, + "step": 8691 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015783828612660075, + "loss": 0.8028, + "step": 8692 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015782931112070435, + "loss": 0.7313, + "step": 8693 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015782033541488047, + "loss": 0.7825, + "step": 8694 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015781135900923784, + "loss": 0.7855, + "step": 8695 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015780238190388503, + "loss": 0.7807, + "step": 8696 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001577934040989307, + "loss": 0.7027, + "step": 8697 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015778442559448357, + "loss": 0.8425, + "step": 8698 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015777544639065223, + "loss": 0.7228, + "step": 8699 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015776646648754542, + "loss": 0.7526, + "step": 8700 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001577574858852718, + "loss": 0.7079, + "step": 8701 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015774850458394007, + "loss": 0.7882, + "step": 8702 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001577395225836589, + "loss": 0.7957, + "step": 8703 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001577305398845371, + "loss": 0.7673, + "step": 8704 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015772155648668328, + "loss": 0.7846, + "step": 8705 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015771257239020623, + "loss": 0.8685, + "step": 8706 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015770358759521465, + "loss": 0.8852, + "step": 8707 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015769460210181732, + "loss": 0.6958, + "step": 8708 + }, + { + "epoch": 0.3, + "learning_rate": 0.000157685615910123, + "loss": 0.6532, + "step": 8709 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001576766290202404, + "loss": 0.7069, + "step": 8710 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015766764143227837, + "loss": 0.8379, + "step": 8711 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015765865314634563, + "loss": 0.6992, + "step": 8712 + }, + { + "epoch": 0.3, + "learning_rate": 0.000157649664162551, + "loss": 0.8232, + "step": 8713 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001576406744810032, + "loss": 0.733, + "step": 8714 + }, + { + "epoch": 0.3, + "learning_rate": 0.00015763168410181115, + "loss": 0.7454, + "step": 8715 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001576226930250836, + "loss": 0.7478, + "step": 8716 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001576137012509294, + "loss": 0.7262, + "step": 8717 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015760470877945732, + "loss": 0.848, + "step": 8718 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015759571561077627, + "loss": 0.7784, + "step": 8719 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015758672174499507, + "loss": 0.6387, + "step": 8720 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015757772718222256, + "loss": 0.6904, + "step": 8721 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015756873192256763, + "loss": 0.8478, + "step": 8722 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015755973596613912, + "loss": 0.7992, + "step": 8723 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015755073931304593, + "loss": 0.7793, + "step": 8724 + }, + { + "epoch": 0.31, + "learning_rate": 0.000157541741963397, + "loss": 0.6803, + "step": 8725 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015753274391730116, + "loss": 0.817, + "step": 8726 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015752374517486733, + "loss": 0.734, + "step": 8727 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001575147457362044, + "loss": 0.8073, + "step": 8728 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015750574560142137, + "loss": 0.7105, + "step": 8729 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015749674477062709, + "loss": 0.7062, + "step": 8730 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015748774324393056, + "loss": 0.711, + "step": 8731 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001574787410214407, + "loss": 0.8303, + "step": 8732 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015746973810326647, + "loss": 0.7381, + "step": 8733 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015746073448951684, + "loss": 0.717, + "step": 8734 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015745173018030077, + "loss": 0.6496, + "step": 8735 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015744272517572724, + "loss": 0.6869, + "step": 8736 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001574337194759053, + "loss": 0.7299, + "step": 8737 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015742471308094388, + "loss": 0.689, + "step": 8738 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015741570599095197, + "loss": 0.6808, + "step": 8739 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015740669820603866, + "loss": 0.7782, + "step": 8740 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001573976897263129, + "loss": 0.7165, + "step": 8741 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015738868055188384, + "loss": 0.716, + "step": 8742 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001573796706828604, + "loss": 0.751, + "step": 8743 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001573706601193517, + "loss": 0.6807, + "step": 8744 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015736164886146674, + "loss": 0.7421, + "step": 8745 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001573526369093146, + "loss": 0.7081, + "step": 8746 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001573436242630044, + "loss": 0.8252, + "step": 8747 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015733461092264518, + "loss": 0.7279, + "step": 8748 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015732559688834606, + "loss": 0.7111, + "step": 8749 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001573165821602161, + "loss": 0.7213, + "step": 8750 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015730756673836447, + "loss": 0.6584, + "step": 8751 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015729855062290022, + "loss": 0.6939, + "step": 8752 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015728953381393253, + "loss": 0.8201, + "step": 8753 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015728051631157047, + "loss": 0.8255, + "step": 8754 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015727149811592324, + "loss": 0.7181, + "step": 8755 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001572624792271, + "loss": 0.7462, + "step": 8756 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015725345964520985, + "loss": 0.8345, + "step": 8757 + }, + { + "epoch": 0.31, + "learning_rate": 0.000157244439370362, + "loss": 0.7084, + "step": 8758 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001572354184026656, + "loss": 0.6384, + "step": 8759 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015722639674222986, + "loss": 0.7511, + "step": 8760 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015721737438916395, + "loss": 0.7373, + "step": 8761 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001572083513435771, + "loss": 0.648, + "step": 8762 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015719932760557845, + "loss": 0.7326, + "step": 8763 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015719030317527731, + "loss": 0.725, + "step": 8764 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015718127805278284, + "loss": 0.6724, + "step": 8765 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015717225223820427, + "loss": 0.7751, + "step": 8766 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015716322573165091, + "loss": 0.6893, + "step": 8767 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015715419853323196, + "loss": 0.7404, + "step": 8768 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015714517064305668, + "loss": 0.6591, + "step": 8769 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015713614206123435, + "loss": 0.7079, + "step": 8770 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015712711278787422, + "loss": 0.8174, + "step": 8771 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001571180828230856, + "loss": 0.657, + "step": 8772 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001571090521669778, + "loss": 0.8794, + "step": 8773 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001571000208196601, + "loss": 0.6825, + "step": 8774 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015709098878124178, + "loss": 0.7152, + "step": 8775 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001570819560518322, + "loss": 0.5998, + "step": 8776 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015707292263154068, + "loss": 0.8222, + "step": 8777 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015706388852047652, + "loss": 0.8742, + "step": 8778 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001570548537187491, + "loss": 0.7795, + "step": 8779 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001570458182264678, + "loss": 0.7268, + "step": 8780 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001570367820437419, + "loss": 0.7832, + "step": 8781 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015702774517068082, + "loss": 0.7196, + "step": 8782 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001570187076073939, + "loss": 0.6487, + "step": 8783 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015700966935399058, + "loss": 0.6367, + "step": 8784 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015700063041058023, + "loss": 0.8379, + "step": 8785 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001569915907772722, + "loss": 0.7629, + "step": 8786 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015698255045417598, + "loss": 0.8107, + "step": 8787 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015697350944140093, + "loss": 0.6005, + "step": 8788 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015696446773905652, + "loss": 0.6937, + "step": 8789 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015695542534725215, + "loss": 0.624, + "step": 8790 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015694638226609726, + "loss": 0.6285, + "step": 8791 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001569373384957013, + "loss": 0.8974, + "step": 8792 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015692829403617383, + "loss": 0.6486, + "step": 8793 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015691924888762415, + "loss": 0.6273, + "step": 8794 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015691020305016188, + "loss": 0.8409, + "step": 8795 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001569011565238964, + "loss": 0.7926, + "step": 8796 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015689210930893728, + "loss": 0.7566, + "step": 8797 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015688306140539395, + "loss": 0.6909, + "step": 8798 + }, + { + "epoch": 0.31, + "learning_rate": 0.000156874012813376, + "loss": 0.6244, + "step": 8799 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001568649635329929, + "loss": 0.7263, + "step": 8800 + }, + { + "epoch": 0.31, + "eval_loss": 0.722107470035553, + "eval_runtime": 848.9678, + "eval_samples_per_second": 28.34, + "eval_steps_per_second": 14.17, + "step": 8800 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015685591356435417, + "loss": 0.6709, + "step": 8801 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015684686290756936, + "loss": 0.8612, + "step": 8802 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015683781156274802, + "loss": 0.6891, + "step": 8803 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001568287595299997, + "loss": 0.6835, + "step": 8804 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015681970680943397, + "loss": 0.7653, + "step": 8805 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015681065340116034, + "loss": 0.8248, + "step": 8806 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015680159930528843, + "loss": 0.6619, + "step": 8807 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015679254452192787, + "loss": 0.6643, + "step": 8808 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015678348905118818, + "loss": 0.7861, + "step": 8809 + }, + { + "epoch": 0.31, + "learning_rate": 0.000156774432893179, + "loss": 0.6753, + "step": 8810 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001567653760480099, + "loss": 0.6749, + "step": 8811 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015675631851579057, + "loss": 0.6952, + "step": 8812 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015674726029663055, + "loss": 0.7069, + "step": 8813 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001567382013906395, + "loss": 0.6318, + "step": 8814 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015672914179792712, + "loss": 0.8008, + "step": 8815 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015672008151860302, + "loss": 0.7396, + "step": 8816 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015671102055277684, + "loss": 0.6994, + "step": 8817 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015670195890055827, + "loss": 0.6953, + "step": 8818 + }, + { + "epoch": 0.31, + "learning_rate": 0.000156692896562057, + "loss": 0.7441, + "step": 8819 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001566838335373827, + "loss": 0.8259, + "step": 8820 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015667476982664504, + "loss": 0.76, + "step": 8821 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015666570542995377, + "loss": 0.7371, + "step": 8822 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001566566403474185, + "loss": 0.7432, + "step": 8823 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015664757457914912, + "loss": 0.741, + "step": 8824 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001566385081252552, + "loss": 0.652, + "step": 8825 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015662944098584653, + "loss": 0.6325, + "step": 8826 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015662037316103286, + "loss": 0.714, + "step": 8827 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015661130465092392, + "loss": 0.742, + "step": 8828 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015660223545562954, + "loss": 0.8081, + "step": 8829 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015659316557525935, + "loss": 0.8427, + "step": 8830 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015658409500992327, + "loss": 0.662, + "step": 8831 + }, + { + "epoch": 0.31, + "learning_rate": 0.000156575023759731, + "loss": 0.7317, + "step": 8832 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015656595182479235, + "loss": 0.7021, + "step": 8833 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015655687920521712, + "loss": 0.7451, + "step": 8834 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015654780590111512, + "loss": 0.7979, + "step": 8835 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015653873191259616, + "loss": 0.8094, + "step": 8836 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001565296572397701, + "loss": 0.7354, + "step": 8837 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015652058188274674, + "loss": 0.6726, + "step": 8838 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015651150584163593, + "loss": 0.7024, + "step": 8839 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001565024291165475, + "loss": 0.7921, + "step": 8840 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015649335170759136, + "loss": 0.8122, + "step": 8841 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001564842736148773, + "loss": 0.7096, + "step": 8842 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001564751948385153, + "loss": 0.7723, + "step": 8843 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015646611537861515, + "loss": 0.5967, + "step": 8844 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001564570352352868, + "loss": 0.6648, + "step": 8845 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001564479544086401, + "loss": 0.7567, + "step": 8846 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015643887289878503, + "loss": 0.6694, + "step": 8847 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001564297907058314, + "loss": 0.7724, + "step": 8848 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015642070782988923, + "loss": 0.7445, + "step": 8849 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015641162427106842, + "loss": 0.7523, + "step": 8850 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015640254002947894, + "loss": 0.7213, + "step": 8851 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015639345510523066, + "loss": 0.7702, + "step": 8852 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001563843694984336, + "loss": 0.6819, + "step": 8853 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015637528320919773, + "loss": 0.6908, + "step": 8854 + }, + { + "epoch": 0.31, + "learning_rate": 0.000156366196237633, + "loss": 0.644, + "step": 8855 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001563571085838494, + "loss": 0.7233, + "step": 8856 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015634802024795693, + "loss": 0.744, + "step": 8857 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001563389312300656, + "loss": 0.7028, + "step": 8858 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015632984153028537, + "loss": 0.7247, + "step": 8859 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015632075114872628, + "loss": 0.6816, + "step": 8860 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015631166008549835, + "loss": 0.7528, + "step": 8861 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015630256834071163, + "loss": 0.6244, + "step": 8862 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015629347591447618, + "loss": 0.7217, + "step": 8863 + }, + { + "epoch": 0.31, + "learning_rate": 0.000156284382806902, + "loss": 0.6918, + "step": 8864 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015627528901809918, + "loss": 0.7772, + "step": 8865 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015626619454817776, + "loss": 0.7003, + "step": 8866 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015625709939724782, + "loss": 0.7836, + "step": 8867 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015624800356541947, + "loss": 0.7813, + "step": 8868 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015623890705280274, + "loss": 0.5958, + "step": 8869 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001562298098595078, + "loss": 0.7123, + "step": 8870 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001562207119856447, + "loss": 0.5786, + "step": 8871 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015621161343132357, + "loss": 0.7379, + "step": 8872 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015620251419665458, + "loss": 0.8107, + "step": 8873 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001561934142817478, + "loss": 0.8206, + "step": 8874 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015618431368671334, + "loss": 0.7249, + "step": 8875 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015617521241166146, + "loss": 0.7352, + "step": 8876 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015616611045670225, + "loss": 0.785, + "step": 8877 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015615700782194584, + "loss": 0.7012, + "step": 8878 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015614790450750246, + "loss": 0.7458, + "step": 8879 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001561388005134823, + "loss": 0.7046, + "step": 8880 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015612969583999546, + "loss": 0.7374, + "step": 8881 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001561205904871522, + "loss": 0.6497, + "step": 8882 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015611148445506275, + "loss": 0.7389, + "step": 8883 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001561023777438373, + "loss": 0.7751, + "step": 8884 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015609327035358603, + "loss": 0.6907, + "step": 8885 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001560841622844192, + "loss": 0.7007, + "step": 8886 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015607505353644707, + "loss": 0.6072, + "step": 8887 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015606594410977987, + "loss": 0.7819, + "step": 8888 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015605683400452786, + "loss": 0.6592, + "step": 8889 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001560477232208013, + "loss": 0.7337, + "step": 8890 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015603861175871045, + "loss": 0.721, + "step": 8891 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001560294996183656, + "loss": 0.6583, + "step": 8892 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015602038679987703, + "loss": 0.777, + "step": 8893 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015601127330335503, + "loss": 0.6549, + "step": 8894 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001560021591289099, + "loss": 0.7648, + "step": 8895 + }, + { + "epoch": 0.31, + "learning_rate": 0.000155993044276652, + "loss": 0.7235, + "step": 8896 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001559839287466916, + "loss": 0.6852, + "step": 8897 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015597481253913905, + "loss": 0.6817, + "step": 8898 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015596569565410465, + "loss": 0.8149, + "step": 8899 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001559565780916988, + "loss": 0.7283, + "step": 8900 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001559474598520318, + "loss": 0.6538, + "step": 8901 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015593834093521406, + "loss": 0.7329, + "step": 8902 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015592922134135593, + "loss": 0.7162, + "step": 8903 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015592010107056775, + "loss": 0.8021, + "step": 8904 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015591098012296, + "loss": 0.6264, + "step": 8905 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015590185849864295, + "loss": 0.798, + "step": 8906 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001558927361977271, + "loss": 0.7329, + "step": 8907 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015588361322032283, + "loss": 0.7082, + "step": 8908 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015587448956654056, + "loss": 0.7878, + "step": 8909 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001558653652364907, + "loss": 0.7306, + "step": 8910 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015585624023028372, + "loss": 0.8273, + "step": 8911 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015584711454802997, + "loss": 0.8429, + "step": 8912 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015583798818984002, + "loss": 0.8286, + "step": 8913 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001558288611558243, + "loss": 0.7223, + "step": 8914 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015581973344609321, + "loss": 0.741, + "step": 8915 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015581060506075732, + "loss": 0.7364, + "step": 8916 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015580147599992704, + "loss": 0.7776, + "step": 8917 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015579234626371288, + "loss": 0.7914, + "step": 8918 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015578321585222536, + "loss": 0.8127, + "step": 8919 + }, + { + "epoch": 0.31, + "learning_rate": 0.000155774084765575, + "loss": 0.6474, + "step": 8920 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015576495300387226, + "loss": 0.6173, + "step": 8921 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001557558205672277, + "loss": 0.7989, + "step": 8922 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015574668745575187, + "loss": 0.7498, + "step": 8923 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001557375536695553, + "loss": 0.6437, + "step": 8924 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015572841920874852, + "loss": 0.6929, + "step": 8925 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001557192840734421, + "loss": 0.7017, + "step": 8926 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001557101482637466, + "loss": 0.7147, + "step": 8927 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015570101177977258, + "loss": 0.8348, + "step": 8928 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001556918746216307, + "loss": 0.6804, + "step": 8929 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015568273678943145, + "loss": 0.8366, + "step": 8930 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015567359828328546, + "loss": 0.8034, + "step": 8931 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015566445910330335, + "loss": 0.6221, + "step": 8932 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015565531924959577, + "loss": 0.7719, + "step": 8933 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015564617872227326, + "loss": 0.7081, + "step": 8934 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015563703752144648, + "loss": 0.7299, + "step": 8935 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015562789564722612, + "loss": 0.7861, + "step": 8936 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015561875309972277, + "loss": 0.7452, + "step": 8937 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001556096098790471, + "loss": 0.6125, + "step": 8938 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015560046598530982, + "loss": 0.5617, + "step": 8939 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015559132141862154, + "loss": 0.7135, + "step": 8940 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015558217617909294, + "loss": 0.8693, + "step": 8941 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015557303026683474, + "loss": 0.6599, + "step": 8942 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015556388368195763, + "loss": 0.7958, + "step": 8943 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015555473642457233, + "loss": 0.784, + "step": 8944 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015554558849478948, + "loss": 0.6888, + "step": 8945 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001555364398927199, + "loss": 0.7931, + "step": 8946 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015552729061847425, + "loss": 0.7754, + "step": 8947 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015551814067216326, + "loss": 0.7894, + "step": 8948 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015550899005389773, + "loss": 0.746, + "step": 8949 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015549983876378835, + "loss": 0.6662, + "step": 8950 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015549068680194595, + "loss": 0.9028, + "step": 8951 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015548153416848127, + "loss": 0.7562, + "step": 8952 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015547238086350507, + "loss": 0.7369, + "step": 8953 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015546322688712812, + "loss": 0.7626, + "step": 8954 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015545407223946126, + "loss": 0.7071, + "step": 8955 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015544491692061528, + "loss": 0.6746, + "step": 8956 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015543576093070098, + "loss": 0.753, + "step": 8957 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015542660426982917, + "loss": 0.7739, + "step": 8958 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001554174469381107, + "loss": 0.6914, + "step": 8959 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015540828893565638, + "loss": 0.8003, + "step": 8960 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015539913026257706, + "loss": 0.712, + "step": 8961 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001553899709189836, + "loss": 0.7717, + "step": 8962 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001553808109049869, + "loss": 0.7633, + "step": 8963 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015537165022069772, + "loss": 0.6842, + "step": 8964 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015536248886622697, + "loss": 0.598, + "step": 8965 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001553533268416856, + "loss": 0.6677, + "step": 8966 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015534416414718447, + "loss": 0.7589, + "step": 8967 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015533500078283443, + "loss": 0.7391, + "step": 8968 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015532583674874646, + "loss": 0.7087, + "step": 8969 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015531667204503143, + "loss": 0.6828, + "step": 8970 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015530750667180025, + "loss": 0.8309, + "step": 8971 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015529834062916388, + "loss": 0.7838, + "step": 8972 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015528917391723329, + "loss": 0.7926, + "step": 8973 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015528000653611935, + "loss": 0.7739, + "step": 8974 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015527083848593308, + "loss": 0.7535, + "step": 8975 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015526166976678543, + "loss": 0.6827, + "step": 8976 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015525250037878732, + "loss": 0.5951, + "step": 8977 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001552433303220498, + "loss": 0.7343, + "step": 8978 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015523415959668385, + "loss": 0.7241, + "step": 8979 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015522498820280044, + "loss": 0.6682, + "step": 8980 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015521581614051058, + "loss": 0.829, + "step": 8981 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015520664340992526, + "loss": 0.6906, + "step": 8982 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015519747001115555, + "loss": 0.662, + "step": 8983 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015518829594431246, + "loss": 0.6715, + "step": 8984 + }, + { + "epoch": 0.31, + "learning_rate": 0.000155179121209507, + "loss": 0.7023, + "step": 8985 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015516994580685024, + "loss": 0.6945, + "step": 8986 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015516076973645326, + "loss": 0.7048, + "step": 8987 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015515159299842707, + "loss": 0.6267, + "step": 8988 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015514241559288277, + "loss": 0.6564, + "step": 8989 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001551332375199314, + "loss": 0.7406, + "step": 8990 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001551240587796841, + "loss": 0.8389, + "step": 8991 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015511487937225194, + "loss": 0.713, + "step": 8992 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015510569929774598, + "loss": 0.7349, + "step": 8993 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001550965185562774, + "loss": 0.6679, + "step": 8994 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015508733714795727, + "loss": 0.7088, + "step": 8995 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015507815507289672, + "loss": 0.7345, + "step": 8996 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001550689723312069, + "loss": 0.7044, + "step": 8997 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015505978892299896, + "loss": 0.6599, + "step": 8998 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015505060484838403, + "loss": 0.6853, + "step": 8999 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015504142010747327, + "loss": 0.6268, + "step": 9000 + }, + { + "epoch": 0.31, + "eval_loss": 0.7145230770111084, + "eval_runtime": 849.5107, + "eval_samples_per_second": 28.322, + "eval_steps_per_second": 14.161, + "step": 9000 + }, + { + "epoch": 0.31, + "learning_rate": 0.00015503223470037785, + "loss": 0.8292, + "step": 9001 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015502304862720893, + "loss": 0.7209, + "step": 9002 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015501386188807771, + "loss": 0.6438, + "step": 9003 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001550046744830954, + "loss": 0.757, + "step": 9004 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015499548641237314, + "loss": 0.6901, + "step": 9005 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015498629767602217, + "loss": 0.7182, + "step": 9006 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015497710827415374, + "loss": 0.6948, + "step": 9007 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015496791820687902, + "loss": 0.8279, + "step": 9008 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015495872747430924, + "loss": 0.7591, + "step": 9009 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015494953607655563, + "loss": 0.7123, + "step": 9010 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015494034401372953, + "loss": 0.662, + "step": 9011 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001549311512859421, + "loss": 0.6088, + "step": 9012 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015492195789330464, + "loss": 0.7721, + "step": 9013 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001549127638359284, + "loss": 0.696, + "step": 9014 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015490356911392465, + "loss": 0.7054, + "step": 9015 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015489437372740472, + "loss": 0.614, + "step": 9016 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015488517767647987, + "loss": 0.6229, + "step": 9017 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001548759809612614, + "loss": 0.8421, + "step": 9018 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015486678358186064, + "loss": 0.8047, + "step": 9019 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001548575855383889, + "loss": 0.8101, + "step": 9020 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015484838683095753, + "loss": 0.7767, + "step": 9021 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015483918745967784, + "loss": 0.8398, + "step": 9022 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015482998742466118, + "loss": 0.7579, + "step": 9023 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015482078672601887, + "loss": 0.729, + "step": 9024 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015481158536386231, + "loss": 0.696, + "step": 9025 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015480238333830289, + "loss": 0.7107, + "step": 9026 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001547931806494519, + "loss": 0.6792, + "step": 9027 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001547839772974208, + "loss": 0.8115, + "step": 9028 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015477477328232095, + "loss": 0.6734, + "step": 9029 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015476556860426376, + "loss": 0.6762, + "step": 9030 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015475636326336064, + "loss": 0.7061, + "step": 9031 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015474715725972299, + "loss": 0.6201, + "step": 9032 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015473795059346224, + "loss": 0.7233, + "step": 9033 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001547287432646898, + "loss": 0.7177, + "step": 9034 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015471953527351718, + "loss": 0.7467, + "step": 9035 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015471032662005572, + "loss": 0.676, + "step": 9036 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015470111730441698, + "loss": 0.6649, + "step": 9037 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015469190732671234, + "loss": 0.5515, + "step": 9038 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015468269668705332, + "loss": 0.7245, + "step": 9039 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015467348538555141, + "loss": 0.8319, + "step": 9040 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015466427342231807, + "loss": 0.7258, + "step": 9041 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001546550607974648, + "loss": 0.7322, + "step": 9042 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001546458475111031, + "loss": 0.7955, + "step": 9043 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015463663356334446, + "loss": 0.5944, + "step": 9044 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015462741895430043, + "loss": 0.6568, + "step": 9045 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015461820368408257, + "loss": 0.77, + "step": 9046 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015460898775280236, + "loss": 0.7252, + "step": 9047 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015459977116057136, + "loss": 0.7176, + "step": 9048 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015459055390750113, + "loss": 0.7064, + "step": 9049 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015458133599370323, + "loss": 0.7441, + "step": 9050 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015457211741928917, + "loss": 0.6214, + "step": 9051 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015456289818437062, + "loss": 0.6873, + "step": 9052 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015455367828905912, + "loss": 0.7294, + "step": 9053 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015454445773346626, + "loss": 0.7962, + "step": 9054 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015453523651770364, + "loss": 0.7274, + "step": 9055 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015452601464188286, + "loss": 0.6784, + "step": 9056 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015451679210611553, + "loss": 0.7141, + "step": 9057 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015450756891051333, + "loss": 0.7698, + "step": 9058 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015449834505518778, + "loss": 0.6825, + "step": 9059 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015448912054025064, + "loss": 0.7074, + "step": 9060 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015447989536581348, + "loss": 0.713, + "step": 9061 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015447066953198801, + "loss": 0.6993, + "step": 9062 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015446144303888582, + "loss": 0.6656, + "step": 9063 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015445221588661866, + "loss": 0.644, + "step": 9064 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015444298807529817, + "loss": 0.7694, + "step": 9065 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015443375960503603, + "loss": 0.7812, + "step": 9066 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015442453047594397, + "loss": 0.7024, + "step": 9067 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015441530068813363, + "loss": 0.7253, + "step": 9068 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001544060702417168, + "loss": 0.804, + "step": 9069 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015439683913680513, + "loss": 0.7406, + "step": 9070 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001543876073735104, + "loss": 0.6582, + "step": 9071 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001543783749519443, + "loss": 0.6994, + "step": 9072 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001543691418722186, + "loss": 0.7053, + "step": 9073 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015435990813444505, + "loss": 0.7162, + "step": 9074 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001543506737387354, + "loss": 0.7648, + "step": 9075 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015434143868520142, + "loss": 0.685, + "step": 9076 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015433220297395492, + "loss": 0.8008, + "step": 9077 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015432296660510765, + "loss": 0.7336, + "step": 9078 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015431372957877136, + "loss": 0.7567, + "step": 9079 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015430449189505793, + "loss": 0.7741, + "step": 9080 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001542952535540791, + "loss": 0.7692, + "step": 9081 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015428601455594673, + "loss": 0.7207, + "step": 9082 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001542767749007726, + "loss": 0.752, + "step": 9083 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015426753458866859, + "loss": 0.6834, + "step": 9084 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001542582936197465, + "loss": 0.7187, + "step": 9085 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015424905199411818, + "loss": 0.6604, + "step": 9086 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001542398097118955, + "loss": 0.601, + "step": 9087 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015423056677319036, + "loss": 0.7312, + "step": 9088 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015422132317811452, + "loss": 0.6906, + "step": 9089 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015421207892677997, + "loss": 0.6202, + "step": 9090 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015420283401929851, + "loss": 0.7628, + "step": 9091 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001541935884557821, + "loss": 0.7375, + "step": 9092 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015418434223634264, + "loss": 0.7393, + "step": 9093 + }, + { + "epoch": 0.32, + "learning_rate": 0.000154175095361092, + "loss": 0.6159, + "step": 9094 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001541658478301421, + "loss": 0.6172, + "step": 9095 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015415659964360492, + "loss": 0.6735, + "step": 9096 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001541473508015923, + "loss": 0.8412, + "step": 9097 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001541381013042163, + "loss": 0.6338, + "step": 9098 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015412885115158878, + "loss": 0.8549, + "step": 9099 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015411960034382173, + "loss": 0.745, + "step": 9100 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001541103488810271, + "loss": 0.6362, + "step": 9101 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001541010967633169, + "loss": 0.6871, + "step": 9102 + }, + { + "epoch": 0.32, + "learning_rate": 0.000154091843990803, + "loss": 0.6638, + "step": 9103 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015408259056359758, + "loss": 0.6311, + "step": 9104 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015407333648181248, + "loss": 0.7831, + "step": 9105 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015406408174555976, + "loss": 0.7465, + "step": 9106 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015405482635495147, + "loss": 0.7253, + "step": 9107 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015404557031009955, + "loss": 0.6126, + "step": 9108 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015403631361111608, + "loss": 0.7298, + "step": 9109 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001540270562581131, + "loss": 0.6634, + "step": 9110 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015401779825120263, + "loss": 0.7371, + "step": 9111 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015400853959049673, + "loss": 0.6583, + "step": 9112 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015399928027610749, + "loss": 0.7411, + "step": 9113 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015399002030814694, + "loss": 0.7407, + "step": 9114 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015398075968672717, + "loss": 0.6821, + "step": 9115 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015397149841196028, + "loss": 0.7517, + "step": 9116 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001539622364839583, + "loss": 0.8846, + "step": 9117 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015395297390283347, + "loss": 0.7603, + "step": 9118 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015394371066869772, + "loss": 0.5982, + "step": 9119 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015393444678166328, + "loss": 0.6249, + "step": 9120 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015392518224184224, + "loss": 0.723, + "step": 9121 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015391591704934677, + "loss": 0.8711, + "step": 9122 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015390665120428897, + "loss": 0.7128, + "step": 9123 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015389738470678098, + "loss": 0.7093, + "step": 9124 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015388811755693492, + "loss": 0.6499, + "step": 9125 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015387884975486305, + "loss": 0.6846, + "step": 9126 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015386958130067752, + "loss": 0.7958, + "step": 9127 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015386031219449047, + "loss": 0.7548, + "step": 9128 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001538510424364141, + "loss": 0.6887, + "step": 9129 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001538417720265606, + "loss": 0.6456, + "step": 9130 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015383250096504217, + "loss": 0.7561, + "step": 9131 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015382322925197107, + "loss": 0.7702, + "step": 9132 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015381395688745942, + "loss": 0.6871, + "step": 9133 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015380468387161958, + "loss": 0.7952, + "step": 9134 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015379541020456365, + "loss": 0.7002, + "step": 9135 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015378613588640393, + "loss": 0.7969, + "step": 9136 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015377686091725272, + "loss": 0.8003, + "step": 9137 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001537675852972222, + "loss": 0.7405, + "step": 9138 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015375830902642466, + "loss": 0.7272, + "step": 9139 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001537490321049724, + "loss": 0.6747, + "step": 9140 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015373975453297767, + "loss": 0.7959, + "step": 9141 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015373047631055277, + "loss": 0.6741, + "step": 9142 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015372119743781, + "loss": 0.6961, + "step": 9143 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015371191791486167, + "loss": 0.8316, + "step": 9144 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015370263774182007, + "loss": 0.5661, + "step": 9145 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015369335691879757, + "loss": 0.6986, + "step": 9146 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015368407544590643, + "loss": 0.5111, + "step": 9147 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015367479332325907, + "loss": 0.6889, + "step": 9148 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015366551055096775, + "loss": 0.7696, + "step": 9149 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001536562271291449, + "loss": 0.5661, + "step": 9150 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001536469430579028, + "loss": 0.8709, + "step": 9151 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015363765833735385, + "loss": 0.7063, + "step": 9152 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001536283729676105, + "loss": 0.7088, + "step": 9153 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015361908694878503, + "loss": 0.71, + "step": 9154 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015360980028098983, + "loss": 0.7439, + "step": 9155 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001536005129643374, + "loss": 0.6529, + "step": 9156 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015359122499894007, + "loss": 0.8129, + "step": 9157 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015358193638491025, + "loss": 0.7554, + "step": 9158 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015357264712236043, + "loss": 0.7298, + "step": 9159 + }, + { + "epoch": 0.32, + "learning_rate": 0.000153563357211403, + "loss": 0.6613, + "step": 9160 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015355406665215035, + "loss": 0.6647, + "step": 9161 + }, + { + "epoch": 0.32, + "learning_rate": 0.000153544775444715, + "loss": 0.6462, + "step": 9162 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015353548358920937, + "loss": 0.6374, + "step": 9163 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015352619108574596, + "loss": 0.7056, + "step": 9164 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015351689793443714, + "loss": 0.7926, + "step": 9165 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015350760413539557, + "loss": 0.7858, + "step": 9166 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015349830968873355, + "loss": 0.7088, + "step": 9167 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015348901459456363, + "loss": 0.776, + "step": 9168 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015347971885299838, + "loss": 0.7952, + "step": 9169 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015347042246415023, + "loss": 0.6776, + "step": 9170 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015346112542813175, + "loss": 0.5893, + "step": 9171 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015345182774505545, + "loss": 0.6098, + "step": 9172 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001534425294150338, + "loss": 0.7544, + "step": 9173 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015343323043817946, + "loss": 0.7099, + "step": 9174 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001534239308146049, + "loss": 0.7503, + "step": 9175 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015341463054442266, + "loss": 0.7796, + "step": 9176 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015340532962774533, + "loss": 0.6579, + "step": 9177 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001533960280646855, + "loss": 0.6841, + "step": 9178 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015338672585535579, + "loss": 0.7314, + "step": 9179 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001533774229998687, + "loss": 0.7088, + "step": 9180 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015336811949833682, + "loss": 0.7392, + "step": 9181 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015335881535087284, + "loss": 0.8505, + "step": 9182 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015334951055758931, + "loss": 0.6626, + "step": 9183 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001533402051185989, + "loss": 0.7057, + "step": 9184 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015333089903401417, + "loss": 0.8154, + "step": 9185 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015332159230394777, + "loss": 0.7169, + "step": 9186 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015331228492851238, + "loss": 0.717, + "step": 9187 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015330297690782063, + "loss": 0.6861, + "step": 9188 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015329366824198517, + "loss": 0.6639, + "step": 9189 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015328435893111866, + "loss": 0.6276, + "step": 9190 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001532750489753338, + "loss": 0.6262, + "step": 9191 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015326573837474324, + "loss": 0.7326, + "step": 9192 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015325642712945973, + "loss": 0.7985, + "step": 9193 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015324711523959588, + "loss": 0.7127, + "step": 9194 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015323780270526448, + "loss": 0.7086, + "step": 9195 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015322848952657815, + "loss": 0.7555, + "step": 9196 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001532191757036497, + "loss": 0.7696, + "step": 9197 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001532098612365918, + "loss": 0.7118, + "step": 9198 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015320054612551722, + "loss": 0.6565, + "step": 9199 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015319123037053868, + "loss": 0.6954, + "step": 9200 + }, + { + "epoch": 0.32, + "eval_loss": 0.7067068219184875, + "eval_runtime": 852.677, + "eval_samples_per_second": 28.217, + "eval_steps_per_second": 14.109, + "step": 9200 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015318191397176896, + "loss": 0.6549, + "step": 9201 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015317259692932078, + "loss": 0.7741, + "step": 9202 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015316327924330697, + "loss": 0.728, + "step": 9203 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001531539609138402, + "loss": 0.7331, + "step": 9204 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015314464194103337, + "loss": 0.6615, + "step": 9205 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001531353223249992, + "loss": 0.6314, + "step": 9206 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001531260020658505, + "loss": 0.7431, + "step": 9207 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001531166811637001, + "loss": 0.8746, + "step": 9208 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015310735961866076, + "loss": 0.6087, + "step": 9209 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015309803743084537, + "loss": 0.6956, + "step": 9210 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015308871460036674, + "loss": 0.644, + "step": 9211 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015307939112733763, + "loss": 0.7669, + "step": 9212 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015307006701187104, + "loss": 0.791, + "step": 9213 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015306074225407968, + "loss": 0.7628, + "step": 9214 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015305141685407648, + "loss": 0.7107, + "step": 9215 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015304209081197425, + "loss": 0.7239, + "step": 9216 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015303276412788596, + "loss": 0.7067, + "step": 9217 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015302343680192443, + "loss": 0.7493, + "step": 9218 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015301410883420254, + "loss": 0.6693, + "step": 9219 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015300478022483324, + "loss": 0.6725, + "step": 9220 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015299545097392938, + "loss": 0.5833, + "step": 9221 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015298612108160392, + "loss": 0.7508, + "step": 9222 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015297679054796979, + "loss": 0.7768, + "step": 9223 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015296745937313987, + "loss": 0.7177, + "step": 9224 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015295812755722717, + "loss": 0.701, + "step": 9225 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015294879510034453, + "loss": 0.6267, + "step": 9226 + }, + { + "epoch": 0.32, + "learning_rate": 0.000152939462002605, + "loss": 0.7664, + "step": 9227 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001529301282641215, + "loss": 0.7454, + "step": 9228 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015292079388500702, + "loss": 0.616, + "step": 9229 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015291145886537453, + "loss": 0.639, + "step": 9230 + }, + { + "epoch": 0.32, + "learning_rate": 0.000152902123205337, + "loss": 0.6372, + "step": 9231 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015289278690500742, + "loss": 0.6713, + "step": 9232 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015288344996449883, + "loss": 0.6996, + "step": 9233 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015287411238392416, + "loss": 0.7682, + "step": 9234 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015286477416339656, + "loss": 0.71, + "step": 9235 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015285543530302892, + "loss": 0.6591, + "step": 9236 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015284609580293432, + "loss": 0.8557, + "step": 9237 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015283675566322578, + "loss": 0.7349, + "step": 9238 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015282741488401643, + "loss": 0.767, + "step": 9239 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001528180734654192, + "loss": 0.635, + "step": 9240 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015280873140754726, + "loss": 0.7373, + "step": 9241 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001527993887105136, + "loss": 0.6911, + "step": 9242 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015279004537443135, + "loss": 0.7488, + "step": 9243 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001527807013994136, + "loss": 0.6956, + "step": 9244 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001527713567855734, + "loss": 0.6914, + "step": 9245 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015276201153302388, + "loss": 0.7163, + "step": 9246 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001527526656418781, + "loss": 0.6848, + "step": 9247 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001527433191122493, + "loss": 0.8065, + "step": 9248 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015273397194425045, + "loss": 0.7784, + "step": 9249 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015272462413799476, + "loss": 0.78, + "step": 9250 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015271527569359538, + "loss": 0.7455, + "step": 9251 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015270592661116542, + "loss": 0.628, + "step": 9252 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001526965768908181, + "loss": 0.7469, + "step": 9253 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015268722653266652, + "loss": 0.6832, + "step": 9254 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015267787553682386, + "loss": 0.6907, + "step": 9255 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015266852390340328, + "loss": 0.6695, + "step": 9256 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015265917163251804, + "loss": 0.6858, + "step": 9257 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015264981872428125, + "loss": 0.6945, + "step": 9258 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015264046517880618, + "loss": 0.6959, + "step": 9259 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015263111099620598, + "loss": 0.6479, + "step": 9260 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015262175617659392, + "loss": 0.6179, + "step": 9261 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015261240072008317, + "loss": 0.8853, + "step": 9262 + }, + { + "epoch": 0.32, + "learning_rate": 0.000152603044626787, + "loss": 0.7617, + "step": 9263 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015259368789681866, + "loss": 0.6392, + "step": 9264 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015258433053029136, + "loss": 0.7833, + "step": 9265 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015257497252731835, + "loss": 0.6511, + "step": 9266 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015256561388801297, + "loss": 0.7622, + "step": 9267 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015255625461248838, + "loss": 0.6262, + "step": 9268 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015254689470085796, + "loss": 0.6885, + "step": 9269 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015253753415323494, + "loss": 0.7461, + "step": 9270 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015252817296973264, + "loss": 0.7288, + "step": 9271 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015251881115046435, + "loss": 0.7621, + "step": 9272 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001525094486955433, + "loss": 0.6041, + "step": 9273 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015250008560508297, + "loss": 0.7403, + "step": 9274 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015249072187919658, + "loss": 0.6981, + "step": 9275 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015248135751799743, + "loss": 0.7123, + "step": 9276 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015247199252159895, + "loss": 0.7272, + "step": 9277 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015246262689011446, + "loss": 0.6098, + "step": 9278 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015245326062365727, + "loss": 0.8289, + "step": 9279 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015244389372234083, + "loss": 0.6811, + "step": 9280 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001524345261862784, + "loss": 0.7102, + "step": 9281 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015242515801558345, + "loss": 0.6583, + "step": 9282 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001524157892103693, + "loss": 0.6384, + "step": 9283 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015240641977074941, + "loss": 0.6967, + "step": 9284 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001523970496968371, + "loss": 0.7472, + "step": 9285 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015238767898874587, + "loss": 0.7521, + "step": 9286 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015237830764658908, + "loss": 0.7056, + "step": 9287 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015236893567048017, + "loss": 0.7461, + "step": 9288 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015235956306053258, + "loss": 0.6567, + "step": 9289 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001523501898168597, + "loss": 0.7467, + "step": 9290 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015234081593957504, + "loss": 0.5716, + "step": 9291 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015233144142879203, + "loss": 0.772, + "step": 9292 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015232206628462412, + "loss": 0.8196, + "step": 9293 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001523126905071848, + "loss": 0.6728, + "step": 9294 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001523033140965876, + "loss": 0.6891, + "step": 9295 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015229393705294588, + "loss": 0.7439, + "step": 9296 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015228455937637322, + "loss": 0.585, + "step": 9297 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015227518106698308, + "loss": 0.6816, + "step": 9298 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015226580212488906, + "loss": 0.6726, + "step": 9299 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015225642255020457, + "loss": 0.7343, + "step": 9300 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015224704234304316, + "loss": 0.7274, + "step": 9301 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015223766150351838, + "loss": 0.7813, + "step": 9302 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015222828003174377, + "loss": 0.6219, + "step": 9303 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001522188979278329, + "loss": 0.6328, + "step": 9304 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015220951519189925, + "loss": 0.7861, + "step": 9305 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015220013182405643, + "loss": 0.7414, + "step": 9306 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015219074782441805, + "loss": 0.6475, + "step": 9307 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015218136319309762, + "loss": 0.7463, + "step": 9308 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015217197793020875, + "loss": 0.6351, + "step": 9309 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015216259203586506, + "loss": 0.629, + "step": 9310 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015215320551018006, + "loss": 0.717, + "step": 9311 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015214381835326749, + "loss": 0.6936, + "step": 9312 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015213443056524088, + "loss": 0.6593, + "step": 9313 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015212504214621384, + "loss": 0.6767, + "step": 9314 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015211565309630008, + "loss": 0.6734, + "step": 9315 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015210626341561313, + "loss": 0.6895, + "step": 9316 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015209687310426676, + "loss": 0.7307, + "step": 9317 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015208748216237456, + "loss": 0.7008, + "step": 9318 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015207809059005015, + "loss": 0.7937, + "step": 9319 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015206869838740728, + "loss": 0.8755, + "step": 9320 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015205930555455962, + "loss": 0.6807, + "step": 9321 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015204991209162078, + "loss": 0.6226, + "step": 9322 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015204051799870452, + "loss": 0.6736, + "step": 9323 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015203112327592447, + "loss": 0.823, + "step": 9324 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015202172792339445, + "loss": 0.6786, + "step": 9325 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001520123319412281, + "loss": 0.662, + "step": 9326 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015200293532953912, + "loss": 0.7474, + "step": 9327 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015199353808844127, + "loss": 0.634, + "step": 9328 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015198414021804833, + "loss": 0.7878, + "step": 9329 + }, + { + "epoch": 0.33, + "learning_rate": 0.000151974741718474, + "loss": 0.8008, + "step": 9330 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015196534258983202, + "loss": 0.752, + "step": 9331 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015195594283223614, + "loss": 0.7177, + "step": 9332 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015194654244580022, + "loss": 0.6813, + "step": 9333 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015193714143063795, + "loss": 0.8367, + "step": 9334 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015192773978686314, + "loss": 0.7497, + "step": 9335 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001519183375145896, + "loss": 0.7496, + "step": 9336 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015190893461393108, + "loss": 0.7566, + "step": 9337 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001518995310850014, + "loss": 0.7091, + "step": 9338 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015189012692791445, + "loss": 0.7516, + "step": 9339 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015188072214278396, + "loss": 0.7174, + "step": 9340 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015187131672972376, + "loss": 0.7704, + "step": 9341 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015186191068884775, + "loss": 0.8457, + "step": 9342 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001518525040202697, + "loss": 0.6627, + "step": 9343 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015184309672410358, + "loss": 0.6551, + "step": 9344 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015183368880046313, + "loss": 0.8055, + "step": 9345 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015182428024946226, + "loss": 0.6724, + "step": 9346 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015181487107121484, + "loss": 0.8443, + "step": 9347 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001518054612658348, + "loss": 0.591, + "step": 9348 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001517960508334359, + "loss": 0.6062, + "step": 9349 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015178663977413222, + "loss": 0.6569, + "step": 9350 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015177722808803755, + "loss": 0.7511, + "step": 9351 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015176781577526578, + "loss": 0.6591, + "step": 9352 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001517584028359309, + "loss": 0.7059, + "step": 9353 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015174898927014678, + "loss": 0.6357, + "step": 9354 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015173957507802743, + "loss": 0.8043, + "step": 9355 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015173016025968675, + "loss": 0.5872, + "step": 9356 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015172074481523864, + "loss": 0.6468, + "step": 9357 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015171132874479716, + "loss": 0.7305, + "step": 9358 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001517019120484762, + "loss": 0.7278, + "step": 9359 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015169249472638978, + "loss": 0.7224, + "step": 9360 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015168307677865185, + "loss": 0.7082, + "step": 9361 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001516736582053764, + "loss": 0.6658, + "step": 9362 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015166423900667746, + "loss": 0.6578, + "step": 9363 + }, + { + "epoch": 0.33, + "learning_rate": 0.000151654819182669, + "loss": 0.711, + "step": 9364 + }, + { + "epoch": 0.33, + "learning_rate": 0.000151645398733465, + "loss": 0.7914, + "step": 9365 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015163597765917953, + "loss": 0.6959, + "step": 9366 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015162655595992664, + "loss": 0.7577, + "step": 9367 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015161713363582031, + "loss": 0.8067, + "step": 9368 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001516077106869746, + "loss": 0.5696, + "step": 9369 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015159828711350354, + "loss": 0.6933, + "step": 9370 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015158886291552124, + "loss": 0.5857, + "step": 9371 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015157943809314167, + "loss": 0.6356, + "step": 9372 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015157001264647904, + "loss": 0.6427, + "step": 9373 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001515605865756473, + "loss": 0.7232, + "step": 9374 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001515511598807606, + "loss": 0.714, + "step": 9375 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015154173256193303, + "loss": 0.6777, + "step": 9376 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001515323046192787, + "loss": 0.7514, + "step": 9377 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015152287605291165, + "loss": 0.6347, + "step": 9378 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001515134468629461, + "loss": 0.8049, + "step": 9379 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001515040170494961, + "loss": 0.6218, + "step": 9380 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015149458661267584, + "loss": 0.6851, + "step": 9381 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001514851555525994, + "loss": 0.6839, + "step": 9382 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015147572386938095, + "loss": 0.6831, + "step": 9383 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015146629156313464, + "loss": 0.6821, + "step": 9384 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015145685863397467, + "loss": 0.6529, + "step": 9385 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015144742508201516, + "loss": 0.7348, + "step": 9386 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015143799090737035, + "loss": 0.6874, + "step": 9387 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015142855611015435, + "loss": 0.6805, + "step": 9388 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001514191206904814, + "loss": 0.7432, + "step": 9389 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015140968464846566, + "loss": 0.7654, + "step": 9390 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015140024798422137, + "loss": 0.725, + "step": 9391 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015139081069786276, + "loss": 0.7744, + "step": 9392 + }, + { + "epoch": 0.33, + "learning_rate": 0.000151381372789504, + "loss": 0.6684, + "step": 9393 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001513719342592594, + "loss": 0.6806, + "step": 9394 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015136249510724315, + "loss": 0.8023, + "step": 9395 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015135305533356944, + "loss": 0.6551, + "step": 9396 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015134361493835262, + "loss": 0.6643, + "step": 9397 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015133417392170688, + "loss": 0.8069, + "step": 9398 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015132473228374654, + "loss": 0.722, + "step": 9399 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015131529002458585, + "loss": 0.8179, + "step": 9400 + }, + { + "epoch": 0.33, + "eval_loss": 0.6991519927978516, + "eval_runtime": 845.2941, + "eval_samples_per_second": 28.463, + "eval_steps_per_second": 14.232, + "step": 9400 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015130584714433907, + "loss": 0.6521, + "step": 9401 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015129640364312054, + "loss": 0.8208, + "step": 9402 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015128695952104453, + "loss": 0.7404, + "step": 9403 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015127751477822532, + "loss": 0.6847, + "step": 9404 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015126806941477726, + "loss": 0.6558, + "step": 9405 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015125862343081468, + "loss": 0.6373, + "step": 9406 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001512491768264519, + "loss": 0.6874, + "step": 9407 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015123972960180321, + "loss": 0.8289, + "step": 9408 + }, + { + "epoch": 0.33, + "learning_rate": 0.000151230281756983, + "loss": 0.6555, + "step": 9409 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001512208332921056, + "loss": 0.7324, + "step": 9410 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015121138420728534, + "loss": 0.6276, + "step": 9411 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001512019345026367, + "loss": 0.6985, + "step": 9412 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015119248417827394, + "loss": 0.6843, + "step": 9413 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015118303323431145, + "loss": 0.6603, + "step": 9414 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015117358167086365, + "loss": 0.6938, + "step": 9415 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015116412948804498, + "loss": 0.6675, + "step": 9416 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015115467668596973, + "loss": 0.8538, + "step": 9417 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015114522326475238, + "loss": 0.6195, + "step": 9418 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015113576922450736, + "loss": 0.761, + "step": 9419 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015112631456534907, + "loss": 0.6601, + "step": 9420 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015111685928739194, + "loss": 0.685, + "step": 9421 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015110740339075042, + "loss": 0.698, + "step": 9422 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015109794687553893, + "loss": 0.7292, + "step": 9423 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015108848974187196, + "loss": 0.8037, + "step": 9424 + }, + { + "epoch": 0.33, + "learning_rate": 0.000151079031989864, + "loss": 0.677, + "step": 9425 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015106957361962943, + "loss": 0.672, + "step": 9426 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015106011463128283, + "loss": 0.8406, + "step": 9427 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001510506550249386, + "loss": 0.7644, + "step": 9428 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001510411948007113, + "loss": 0.6661, + "step": 9429 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015103173395871538, + "loss": 0.865, + "step": 9430 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015102227249906536, + "loss": 0.7429, + "step": 9431 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015101281042187578, + "loss": 0.7711, + "step": 9432 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015100334772726113, + "loss": 0.7749, + "step": 9433 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015099388441533598, + "loss": 0.6977, + "step": 9434 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015098442048621483, + "loss": 0.7837, + "step": 9435 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015097495594001222, + "loss": 0.652, + "step": 9436 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015096549077684275, + "loss": 0.7551, + "step": 9437 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015095602499682093, + "loss": 0.895, + "step": 9438 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015094655860006136, + "loss": 0.6528, + "step": 9439 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015093709158667858, + "loss": 0.7491, + "step": 9440 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015092762395678723, + "loss": 0.7074, + "step": 9441 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015091815571050186, + "loss": 0.7068, + "step": 9442 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015090868684793706, + "loss": 0.7311, + "step": 9443 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015089921736920742, + "loss": 0.6803, + "step": 9444 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001508897472744276, + "loss": 0.6649, + "step": 9445 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015088027656371224, + "loss": 0.7259, + "step": 9446 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001508708052371759, + "loss": 0.742, + "step": 9447 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015086133329493323, + "loss": 0.6682, + "step": 9448 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015085186073709886, + "loss": 0.7142, + "step": 9449 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015084238756378753, + "loss": 0.7112, + "step": 9450 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015083291377511378, + "loss": 0.687, + "step": 9451 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015082343937119233, + "loss": 0.7431, + "step": 9452 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015081396435213785, + "loss": 0.7356, + "step": 9453 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015080448871806503, + "loss": 0.6792, + "step": 9454 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015079501246908854, + "loss": 0.6636, + "step": 9455 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015078553560532307, + "loss": 0.7461, + "step": 9456 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015077605812688328, + "loss": 0.6182, + "step": 9457 + }, + { + "epoch": 0.33, + "learning_rate": 0.000150766580033884, + "loss": 0.6585, + "step": 9458 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015075710132643987, + "loss": 0.6203, + "step": 9459 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015074762200466556, + "loss": 0.7049, + "step": 9460 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015073814206867592, + "loss": 0.6717, + "step": 9461 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015072866151858558, + "loss": 0.7795, + "step": 9462 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015071918035450938, + "loss": 0.7139, + "step": 9463 + }, + { + "epoch": 0.33, + "learning_rate": 0.000150709698576562, + "loss": 0.6921, + "step": 9464 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001507002161848582, + "loss": 0.6382, + "step": 9465 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015069073317951282, + "loss": 0.6817, + "step": 9466 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015068124956064057, + "loss": 0.6339, + "step": 9467 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001506717653283563, + "loss": 0.7069, + "step": 9468 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015066228048277473, + "loss": 0.5637, + "step": 9469 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001506527950240107, + "loss": 0.7105, + "step": 9470 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015064330895217895, + "loss": 0.7895, + "step": 9471 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015063382226739437, + "loss": 0.7745, + "step": 9472 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001506243349697718, + "loss": 0.7279, + "step": 9473 + }, + { + "epoch": 0.33, + "learning_rate": 0.000150614847059426, + "loss": 0.6901, + "step": 9474 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001506053585364718, + "loss": 0.6086, + "step": 9475 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001505958694010241, + "loss": 0.8373, + "step": 9476 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001505863796531977, + "loss": 0.8009, + "step": 9477 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015057688929310747, + "loss": 0.7599, + "step": 9478 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015056739832086834, + "loss": 0.8595, + "step": 9479 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015055790673659507, + "loss": 0.6999, + "step": 9480 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015054841454040262, + "loss": 0.7547, + "step": 9481 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015053892173240584, + "loss": 0.661, + "step": 9482 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015052942831271965, + "loss": 0.6465, + "step": 9483 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015051993428145897, + "loss": 0.6327, + "step": 9484 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015051043963873863, + "loss": 0.587, + "step": 9485 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015050094438467362, + "loss": 0.7386, + "step": 9486 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015049144851937883, + "loss": 0.6448, + "step": 9487 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015048195204296922, + "loss": 0.6549, + "step": 9488 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001504724549555597, + "loss": 0.8107, + "step": 9489 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001504629572572652, + "loss": 0.8073, + "step": 9490 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015045345894820072, + "loss": 0.702, + "step": 9491 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015044396002848121, + "loss": 0.7112, + "step": 9492 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015043446049822166, + "loss": 0.6814, + "step": 9493 + }, + { + "epoch": 0.33, + "learning_rate": 0.000150424960357537, + "loss": 0.647, + "step": 9494 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015041545960654219, + "loss": 0.8377, + "step": 9495 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001504059582453523, + "loss": 0.6991, + "step": 9496 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015039645627408228, + "loss": 0.656, + "step": 9497 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015038695369284715, + "loss": 0.7381, + "step": 9498 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015037745050176189, + "loss": 0.6169, + "step": 9499 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015036794670094156, + "loss": 0.7215, + "step": 9500 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001503584422905012, + "loss": 0.6402, + "step": 9501 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001503489372705558, + "loss": 0.739, + "step": 9502 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015033943164122045, + "loss": 0.8109, + "step": 9503 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015032992540261016, + "loss": 0.6438, + "step": 9504 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015032041855483997, + "loss": 0.6392, + "step": 9505 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015031091109802503, + "loss": 0.68, + "step": 9506 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001503014030322803, + "loss": 0.8039, + "step": 9507 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015029189435772095, + "loss": 0.6365, + "step": 9508 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015028238507446202, + "loss": 0.6866, + "step": 9509 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015027287518261864, + "loss": 0.7995, + "step": 9510 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015026336468230587, + "loss": 0.7263, + "step": 9511 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001502538535736388, + "loss": 0.7288, + "step": 9512 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015024434185673263, + "loss": 0.6358, + "step": 9513 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015023482953170243, + "loss": 0.687, + "step": 9514 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015022531659866333, + "loss": 0.8007, + "step": 9515 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001502158030577305, + "loss": 0.6711, + "step": 9516 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015020628890901905, + "loss": 0.699, + "step": 9517 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001501967741526441, + "loss": 0.7882, + "step": 9518 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001501872587887209, + "loss": 0.6352, + "step": 9519 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015017774281736457, + "loss": 0.669, + "step": 9520 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015016822623869027, + "loss": 0.7706, + "step": 9521 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001501587090528132, + "loss": 0.8179, + "step": 9522 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015014919125984854, + "loss": 0.8662, + "step": 9523 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015013967285991154, + "loss": 0.6806, + "step": 9524 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015013015385311734, + "loss": 0.6001, + "step": 9525 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015012063423958113, + "loss": 0.8117, + "step": 9526 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015011111401941823, + "loss": 0.7016, + "step": 9527 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015010159319274376, + "loss": 0.6726, + "step": 9528 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015009207175967305, + "loss": 0.6994, + "step": 9529 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015008254972032124, + "loss": 0.7367, + "step": 9530 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015007302707480366, + "loss": 0.7011, + "step": 9531 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015006350382323555, + "loss": 0.7264, + "step": 9532 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015005397996573213, + "loss": 0.5937, + "step": 9533 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015004445550240872, + "loss": 0.6174, + "step": 9534 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015003493043338058, + "loss": 0.8008, + "step": 9535 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015002540475876294, + "loss": 0.6399, + "step": 9536 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001500158784786712, + "loss": 0.6387, + "step": 9537 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015000635159322063, + "loss": 0.5799, + "step": 9538 + }, + { + "epoch": 0.33, + "learning_rate": 0.00014999682410252643, + "loss": 0.8557, + "step": 9539 + }, + { + "epoch": 0.33, + "learning_rate": 0.00014998729600670406, + "loss": 0.7376, + "step": 9540 + }, + { + "epoch": 0.33, + "learning_rate": 0.00014997776730586878, + "loss": 0.7861, + "step": 9541 + }, + { + "epoch": 0.33, + "learning_rate": 0.00014996823800013587, + "loss": 0.8592, + "step": 9542 + }, + { + "epoch": 0.33, + "learning_rate": 0.00014995870808962077, + "loss": 0.7002, + "step": 9543 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001499491775744387, + "loss": 0.6797, + "step": 9544 + }, + { + "epoch": 0.33, + "learning_rate": 0.00014993964645470514, + "loss": 0.7186, + "step": 9545 + }, + { + "epoch": 0.33, + "learning_rate": 0.00014993011473053537, + "loss": 0.7098, + "step": 9546 + }, + { + "epoch": 0.33, + "learning_rate": 0.00014992058240204475, + "loss": 0.7406, + "step": 9547 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001499110494693487, + "loss": 0.7054, + "step": 9548 + }, + { + "epoch": 0.33, + "learning_rate": 0.00014990151593256257, + "loss": 0.6657, + "step": 9549 + }, + { + "epoch": 0.33, + "learning_rate": 0.00014989198179180178, + "loss": 0.6894, + "step": 9550 + }, + { + "epoch": 0.33, + "learning_rate": 0.00014988244704718163, + "loss": 0.636, + "step": 9551 + }, + { + "epoch": 0.33, + "learning_rate": 0.00014987291169881765, + "loss": 0.674, + "step": 9552 + }, + { + "epoch": 0.33, + "learning_rate": 0.00014986337574682517, + "loss": 0.7307, + "step": 9553 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001498538391913196, + "loss": 0.6408, + "step": 9554 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001498443020324164, + "loss": 0.6618, + "step": 9555 + }, + { + "epoch": 0.33, + "learning_rate": 0.000149834764270231, + "loss": 0.6915, + "step": 9556 + }, + { + "epoch": 0.33, + "learning_rate": 0.00014982522590487887, + "loss": 0.6856, + "step": 9557 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001498156869364754, + "loss": 0.684, + "step": 9558 + }, + { + "epoch": 0.33, + "learning_rate": 0.000149806147365136, + "loss": 0.6974, + "step": 9559 + }, + { + "epoch": 0.33, + "learning_rate": 0.00014979660719097626, + "loss": 0.6569, + "step": 9560 + }, + { + "epoch": 0.33, + "learning_rate": 0.00014978706641411156, + "loss": 0.6696, + "step": 9561 + }, + { + "epoch": 0.33, + "learning_rate": 0.00014977752503465735, + "loss": 0.7409, + "step": 9562 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001497679830527292, + "loss": 0.6816, + "step": 9563 + }, + { + "epoch": 0.33, + "learning_rate": 0.00014975844046844253, + "loss": 0.7689, + "step": 9564 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001497488972819129, + "loss": 0.7806, + "step": 9565 + }, + { + "epoch": 0.33, + "learning_rate": 0.00014973935349325577, + "loss": 0.624, + "step": 9566 + }, + { + "epoch": 0.33, + "learning_rate": 0.00014972980910258664, + "loss": 0.6963, + "step": 9567 + }, + { + "epoch": 0.33, + "learning_rate": 0.00014972026411002107, + "loss": 0.6795, + "step": 9568 + }, + { + "epoch": 0.33, + "learning_rate": 0.00014971071851567453, + "loss": 0.725, + "step": 9569 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001497011723196626, + "loss": 0.7003, + "step": 9570 + }, + { + "epoch": 0.33, + "learning_rate": 0.00014969162552210083, + "loss": 0.6989, + "step": 9571 + }, + { + "epoch": 0.33, + "learning_rate": 0.00014968207812310474, + "loss": 0.7446, + "step": 9572 + }, + { + "epoch": 0.33, + "learning_rate": 0.00014967253012278988, + "loss": 0.721, + "step": 9573 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014966298152127182, + "loss": 0.7079, + "step": 9574 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014965343231866616, + "loss": 0.7789, + "step": 9575 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014964388251508844, + "loss": 0.6543, + "step": 9576 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014963433211065424, + "loss": 0.7622, + "step": 9577 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014962478110547918, + "loss": 0.7572, + "step": 9578 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014961522949967886, + "loss": 0.6639, + "step": 9579 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014960567729336882, + "loss": 0.7014, + "step": 9580 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001495961244866648, + "loss": 0.6976, + "step": 9581 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001495865710796823, + "loss": 0.6805, + "step": 9582 + }, + { + "epoch": 0.34, + "learning_rate": 0.000149577017072537, + "loss": 0.7168, + "step": 9583 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014956746246534456, + "loss": 0.6424, + "step": 9584 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014955790725822057, + "loss": 0.6747, + "step": 9585 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001495483514512807, + "loss": 0.5688, + "step": 9586 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001495387950446406, + "loss": 0.698, + "step": 9587 + }, + { + "epoch": 0.34, + "learning_rate": 0.000149529238038416, + "loss": 0.6463, + "step": 9588 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014951968043272246, + "loss": 0.7103, + "step": 9589 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014951012222767573, + "loss": 0.6729, + "step": 9590 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001495005634233915, + "loss": 0.7382, + "step": 9591 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001494910040199854, + "loss": 0.7215, + "step": 9592 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014948144401757323, + "loss": 0.8273, + "step": 9593 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014947188341627064, + "loss": 0.7806, + "step": 9594 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001494623222161933, + "loss": 0.7364, + "step": 9595 + }, + { + "epoch": 0.34, + "learning_rate": 0.000149452760417457, + "loss": 0.7262, + "step": 9596 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014944319802017748, + "loss": 0.7472, + "step": 9597 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001494336350244704, + "loss": 0.7176, + "step": 9598 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001494240714304516, + "loss": 0.7879, + "step": 9599 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014941450723823677, + "loss": 0.5709, + "step": 9600 + }, + { + "epoch": 0.34, + "eval_loss": 0.6929077506065369, + "eval_runtime": 844.5492, + "eval_samples_per_second": 28.489, + "eval_steps_per_second": 14.244, + "step": 9600 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014940494244794166, + "loss": 0.7003, + "step": 9601 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014939537705968206, + "loss": 0.6017, + "step": 9602 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014938581107357376, + "loss": 0.7168, + "step": 9603 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001493762444897325, + "loss": 0.7308, + "step": 9604 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014936667730827412, + "loss": 0.6464, + "step": 9605 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014935710952931436, + "loss": 0.6989, + "step": 9606 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014934754115296904, + "loss": 0.8254, + "step": 9607 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014933797217935398, + "loss": 0.6325, + "step": 9608 + }, + { + "epoch": 0.34, + "learning_rate": 0.000149328402608585, + "loss": 0.6914, + "step": 9609 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014931883244077794, + "loss": 0.6799, + "step": 9610 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014930926167604856, + "loss": 0.8221, + "step": 9611 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014929969031451275, + "loss": 0.8186, + "step": 9612 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014929011835628634, + "loss": 0.7858, + "step": 9613 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014928054580148523, + "loss": 0.7135, + "step": 9614 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014927097265022524, + "loss": 0.5722, + "step": 9615 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001492613989026222, + "loss": 0.6868, + "step": 9616 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014925182455879205, + "loss": 0.6297, + "step": 9617 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014924224961885066, + "loss": 0.7074, + "step": 9618 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014923267408291387, + "loss": 0.6552, + "step": 9619 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014922309795109762, + "loss": 0.5837, + "step": 9620 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001492135212235178, + "loss": 0.68, + "step": 9621 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014920394390029033, + "loss": 0.8422, + "step": 9622 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001491943659815311, + "loss": 0.7183, + "step": 9623 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014918478746735607, + "loss": 0.5871, + "step": 9624 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014917520835788114, + "loss": 0.735, + "step": 9625 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001491656286532223, + "loss": 0.637, + "step": 9626 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014915604835349545, + "loss": 0.6623, + "step": 9627 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014914646745881654, + "loss": 0.6917, + "step": 9628 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014913688596930155, + "loss": 0.716, + "step": 9629 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014912730388506645, + "loss": 0.6552, + "step": 9630 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014911772120622721, + "loss": 0.7392, + "step": 9631 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001491081379328998, + "loss": 0.6159, + "step": 9632 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014909855406520023, + "loss": 0.6524, + "step": 9633 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014908896960324453, + "loss": 0.7406, + "step": 9634 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014907938454714861, + "loss": 0.7086, + "step": 9635 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014906979889702852, + "loss": 0.6718, + "step": 9636 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014906021265300034, + "loss": 0.7077, + "step": 9637 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014905062581518002, + "loss": 0.7288, + "step": 9638 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001490410383836836, + "loss": 0.7346, + "step": 9639 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001490314503586272, + "loss": 0.6233, + "step": 9640 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014902186174012676, + "loss": 0.7514, + "step": 9641 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001490122725282984, + "loss": 0.6812, + "step": 9642 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014900268272325816, + "loss": 0.7403, + "step": 9643 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001489930923251221, + "loss": 0.7396, + "step": 9644 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001489835013340063, + "loss": 0.5924, + "step": 9645 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014897390975002686, + "loss": 0.7661, + "step": 9646 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014896431757329987, + "loss": 0.6906, + "step": 9647 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014895472480394142, + "loss": 0.6078, + "step": 9648 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001489451314420676, + "loss": 0.8429, + "step": 9649 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014893553748779453, + "loss": 0.6339, + "step": 9650 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001489259429412383, + "loss": 0.5869, + "step": 9651 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014891634780251514, + "loss": 0.7365, + "step": 9652 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001489067520717411, + "loss": 0.7092, + "step": 9653 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014889715574903226, + "loss": 0.7658, + "step": 9654 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001488875588345049, + "loss": 0.6706, + "step": 9655 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001488779613282751, + "loss": 0.7744, + "step": 9656 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014886836323045906, + "loss": 0.6721, + "step": 9657 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001488587645411729, + "loss": 0.7996, + "step": 9658 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001488491652605328, + "loss": 0.6958, + "step": 9659 + }, + { + "epoch": 0.34, + "learning_rate": 0.000148839565388655, + "loss": 0.8473, + "step": 9660 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014882996492565566, + "loss": 0.654, + "step": 9661 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014882036387165094, + "loss": 0.6992, + "step": 9662 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001488107622267571, + "loss": 0.7301, + "step": 9663 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001488011599910903, + "loss": 0.7138, + "step": 9664 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001487915571647668, + "loss": 0.6461, + "step": 9665 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014878195374790285, + "loss": 0.6596, + "step": 9666 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001487723497406146, + "loss": 0.6736, + "step": 9667 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014876274514301834, + "loss": 0.7443, + "step": 9668 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014875313995523035, + "loss": 0.6543, + "step": 9669 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014874353417736685, + "loss": 0.713, + "step": 9670 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014873392780954408, + "loss": 0.6659, + "step": 9671 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014872432085187833, + "loss": 0.6565, + "step": 9672 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014871471330448588, + "loss": 0.7451, + "step": 9673 + }, + { + "epoch": 0.34, + "learning_rate": 0.000148705105167483, + "loss": 0.8272, + "step": 9674 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014869549644098602, + "loss": 0.7752, + "step": 9675 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001486858871251112, + "loss": 0.6887, + "step": 9676 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014867627721997482, + "loss": 0.658, + "step": 9677 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014866666672569328, + "loss": 0.6826, + "step": 9678 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014865705564238283, + "loss": 0.6666, + "step": 9679 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001486474439701598, + "loss": 0.6032, + "step": 9680 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014863783170914054, + "loss": 0.6453, + "step": 9681 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014862821885944135, + "loss": 0.642, + "step": 9682 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014861860542117868, + "loss": 0.7356, + "step": 9683 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014860899139446877, + "loss": 0.6037, + "step": 9684 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014859937677942804, + "loss": 0.5945, + "step": 9685 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014858976157617284, + "loss": 0.6479, + "step": 9686 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014858014578481956, + "loss": 0.7724, + "step": 9687 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014857052940548456, + "loss": 0.7872, + "step": 9688 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014856091243828424, + "loss": 0.6421, + "step": 9689 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014855129488333506, + "loss": 0.5876, + "step": 9690 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014854167674075333, + "loss": 0.6923, + "step": 9691 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014853205801065552, + "loss": 0.6817, + "step": 9692 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014852243869315797, + "loss": 0.7301, + "step": 9693 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014851281878837725, + "loss": 0.7571, + "step": 9694 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014850319829642965, + "loss": 0.6699, + "step": 9695 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014849357721743168, + "loss": 0.7246, + "step": 9696 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014848395555149978, + "loss": 0.7692, + "step": 9697 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001484743332987504, + "loss": 0.7192, + "step": 9698 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014846471045929999, + "loss": 0.6231, + "step": 9699 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014845508703326504, + "loss": 0.6794, + "step": 9700 + }, + { + "epoch": 0.34, + "learning_rate": 0.000148445463020762, + "loss": 0.8043, + "step": 9701 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014843583842190738, + "loss": 0.6775, + "step": 9702 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014842621323681764, + "loss": 0.6594, + "step": 9703 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014841658746560934, + "loss": 0.6769, + "step": 9704 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014840696110839886, + "loss": 0.7591, + "step": 9705 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014839733416530286, + "loss": 0.692, + "step": 9706 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014838770663643772, + "loss": 0.7557, + "step": 9707 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001483780785219201, + "loss": 0.7142, + "step": 9708 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014836844982186643, + "loss": 0.8, + "step": 9709 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001483588205363933, + "loss": 0.6373, + "step": 9710 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014834919066561723, + "loss": 0.6468, + "step": 9711 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014833956020965478, + "loss": 0.7349, + "step": 9712 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014832992916862252, + "loss": 0.6196, + "step": 9713 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014832029754263698, + "loss": 0.6989, + "step": 9714 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014831066533181478, + "loss": 0.7997, + "step": 9715 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014830103253627252, + "loss": 0.654, + "step": 9716 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014829139915612676, + "loss": 0.7275, + "step": 9717 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014828176519149407, + "loss": 0.6217, + "step": 9718 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014827213064249107, + "loss": 0.6263, + "step": 9719 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014826249550923436, + "loss": 0.8012, + "step": 9720 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014825285979184062, + "loss": 0.643, + "step": 9721 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001482432234904264, + "loss": 0.6626, + "step": 9722 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014823358660510838, + "loss": 0.8288, + "step": 9723 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014822394913600314, + "loss": 0.6958, + "step": 9724 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014821431108322738, + "loss": 0.7621, + "step": 9725 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014820467244689779, + "loss": 0.6399, + "step": 9726 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001481950332271309, + "loss": 0.792, + "step": 9727 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014818539342404348, + "loss": 0.7648, + "step": 9728 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014817575303775217, + "loss": 0.6655, + "step": 9729 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014816611206837368, + "loss": 0.7412, + "step": 9730 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014815647051602464, + "loss": 0.6625, + "step": 9731 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014814682838082182, + "loss": 0.6235, + "step": 9732 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014813718566288183, + "loss": 0.7462, + "step": 9733 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014812754236232146, + "loss": 0.6509, + "step": 9734 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001481178984792574, + "loss": 0.7405, + "step": 9735 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014810825401380637, + "loss": 0.7473, + "step": 9736 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001480986089660851, + "loss": 0.7345, + "step": 9737 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014808896333621033, + "loss": 0.691, + "step": 9738 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001480793171242988, + "loss": 0.7784, + "step": 9739 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014806967033046726, + "loss": 0.7212, + "step": 9740 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014806002295483247, + "loss": 0.7314, + "step": 9741 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001480503749975112, + "loss": 0.6856, + "step": 9742 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001480407264586202, + "loss": 0.6631, + "step": 9743 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001480310773382763, + "loss": 0.7074, + "step": 9744 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014802142763659624, + "loss": 0.6845, + "step": 9745 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001480117773536968, + "loss": 0.6449, + "step": 9746 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014800212648969485, + "loss": 0.6173, + "step": 9747 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014799247504470716, + "loss": 0.6879, + "step": 9748 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014798282301885048, + "loss": 0.6945, + "step": 9749 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014797317041224175, + "loss": 0.7791, + "step": 9750 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014796351722499773, + "loss": 0.6691, + "step": 9751 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014795386345723527, + "loss": 0.678, + "step": 9752 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001479442091090712, + "loss": 0.7144, + "step": 9753 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001479345541806224, + "loss": 0.6559, + "step": 9754 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001479248986720057, + "loss": 0.7038, + "step": 9755 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014791524258333795, + "loss": 0.7641, + "step": 9756 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014790558591473607, + "loss": 0.6561, + "step": 9757 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001478959286663169, + "loss": 0.6102, + "step": 9758 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014788627083819731, + "loss": 0.6061, + "step": 9759 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014787661243049428, + "loss": 0.6929, + "step": 9760 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001478669534433246, + "loss": 0.7475, + "step": 9761 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001478572938768052, + "loss": 0.7347, + "step": 9762 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014784763373105304, + "loss": 0.6677, + "step": 9763 + }, + { + "epoch": 0.34, + "learning_rate": 0.000147837973006185, + "loss": 0.5873, + "step": 9764 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014782831170231803, + "loss": 0.6906, + "step": 9765 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014781864981956906, + "loss": 0.7043, + "step": 9766 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014780898735805505, + "loss": 0.6992, + "step": 9767 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001477993243178929, + "loss": 0.594, + "step": 9768 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014778966069919956, + "loss": 0.6933, + "step": 9769 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014777999650209206, + "loss": 0.7234, + "step": 9770 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001477703317266873, + "loss": 0.745, + "step": 9771 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014776066637310232, + "loss": 0.5699, + "step": 9772 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014775100044145406, + "loss": 0.7573, + "step": 9773 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001477413339318595, + "loss": 0.6575, + "step": 9774 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001477316668444357, + "loss": 0.6566, + "step": 9775 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014772199917929957, + "loss": 0.7162, + "step": 9776 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014771233093656817, + "loss": 0.7726, + "step": 9777 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014770266211635856, + "loss": 0.6368, + "step": 9778 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001476929927187877, + "loss": 0.6667, + "step": 9779 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014768332274397265, + "loss": 0.6747, + "step": 9780 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014767365219203044, + "loss": 0.6285, + "step": 9781 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014766398106307813, + "loss": 0.6736, + "step": 9782 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014765430935723278, + "loss": 0.6683, + "step": 9783 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014764463707461138, + "loss": 0.6636, + "step": 9784 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001476349642153311, + "loss": 0.6525, + "step": 9785 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014762529077950892, + "loss": 0.6876, + "step": 9786 + }, + { + "epoch": 0.34, + "learning_rate": 0.000147615616767262, + "loss": 0.6777, + "step": 9787 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014760594217870737, + "loss": 0.6514, + "step": 9788 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014759626701396216, + "loss": 0.7016, + "step": 9789 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014758659127314346, + "loss": 0.6299, + "step": 9790 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001475769149563684, + "loss": 0.7141, + "step": 9791 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014756723806375405, + "loss": 0.6832, + "step": 9792 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014755756059541756, + "loss": 0.7086, + "step": 9793 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014754788255147606, + "loss": 0.7218, + "step": 9794 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014753820393204666, + "loss": 0.6926, + "step": 9795 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014752852473724656, + "loss": 0.6094, + "step": 9796 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014751884496719283, + "loss": 0.7057, + "step": 9797 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014750916462200273, + "loss": 0.6316, + "step": 9798 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014749948370179335, + "loss": 0.7011, + "step": 9799 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014748980220668186, + "loss": 0.7092, + "step": 9800 + }, + { + "epoch": 0.34, + "eval_loss": 0.6857539415359497, + "eval_runtime": 851.8389, + "eval_samples_per_second": 28.245, + "eval_steps_per_second": 14.122, + "step": 9800 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014748012013678547, + "loss": 0.6568, + "step": 9801 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014747043749222135, + "loss": 0.6704, + "step": 9802 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001474607542731067, + "loss": 0.6512, + "step": 9803 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014745107047955873, + "loss": 0.7136, + "step": 9804 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014744138611169462, + "loss": 0.6816, + "step": 9805 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001474317011696316, + "loss": 0.7439, + "step": 9806 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014742201565348686, + "loss": 0.7788, + "step": 9807 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014741232956337768, + "loss": 0.6647, + "step": 9808 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014740264289942126, + "loss": 0.7018, + "step": 9809 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014739295566173482, + "loss": 0.5794, + "step": 9810 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001473832678504357, + "loss": 0.7173, + "step": 9811 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014737357946564104, + "loss": 0.7222, + "step": 9812 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014736389050746813, + "loss": 0.6616, + "step": 9813 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001473542009760343, + "loss": 0.696, + "step": 9814 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014734451087145676, + "loss": 0.767, + "step": 9815 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014733482019385283, + "loss": 0.7956, + "step": 9816 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001473251289433398, + "loss": 0.6233, + "step": 9817 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014731543712003493, + "loss": 0.7159, + "step": 9818 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014730574472405556, + "loss": 0.6656, + "step": 9819 + }, + { + "epoch": 0.34, + "learning_rate": 0.000147296051755519, + "loss": 0.6646, + "step": 9820 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014728635821454255, + "loss": 0.7205, + "step": 9821 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001472766641012435, + "loss": 0.7173, + "step": 9822 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001472669694157393, + "loss": 0.8046, + "step": 9823 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014725727415814714, + "loss": 0.6921, + "step": 9824 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001472475783285844, + "loss": 0.6844, + "step": 9825 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014723788192716857, + "loss": 0.6078, + "step": 9826 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014722818495401682, + "loss": 0.6636, + "step": 9827 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014721848740924663, + "loss": 0.6119, + "step": 9828 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014720878929297534, + "loss": 0.7655, + "step": 9829 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014719909060532032, + "loss": 0.7851, + "step": 9830 + }, + { + "epoch": 0.34, + "learning_rate": 0.000147189391346399, + "loss": 0.6913, + "step": 9831 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014717969151632873, + "loss": 0.7167, + "step": 9832 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001471699911152269, + "loss": 0.7348, + "step": 9833 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014716029014321096, + "loss": 0.6969, + "step": 9834 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014715058860039827, + "loss": 0.7799, + "step": 9835 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014714088648690632, + "loss": 0.7252, + "step": 9836 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001471311838028525, + "loss": 0.6699, + "step": 9837 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001471214805483542, + "loss": 0.5953, + "step": 9838 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014711177672352895, + "loss": 0.6533, + "step": 9839 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014710207232849416, + "loss": 0.742, + "step": 9840 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014709236736336727, + "loss": 0.7229, + "step": 9841 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001470826618282658, + "loss": 0.7986, + "step": 9842 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014707295572330707, + "loss": 0.7496, + "step": 9843 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014706324904860876, + "loss": 0.694, + "step": 9844 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014705354180428822, + "loss": 0.6296, + "step": 9845 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014704383399046295, + "loss": 0.6945, + "step": 9846 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001470341256072505, + "loss": 0.6657, + "step": 9847 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014702441665476833, + "loss": 0.6407, + "step": 9848 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014701470713313398, + "loss": 0.7394, + "step": 9849 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014700499704246492, + "loss": 0.724, + "step": 9850 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014699528638287873, + "loss": 0.7018, + "step": 9851 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001469855751544929, + "loss": 0.6749, + "step": 9852 + }, + { + "epoch": 0.34, + "learning_rate": 0.000146975863357425, + "loss": 0.6401, + "step": 9853 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014696615099179258, + "loss": 0.88, + "step": 9854 + }, + { + "epoch": 0.34, + "learning_rate": 0.00014695643805771318, + "loss": 0.6613, + "step": 9855 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001469467245553043, + "loss": 0.6141, + "step": 9856 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001469370104846836, + "loss": 0.7279, + "step": 9857 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001469272958459686, + "loss": 0.8169, + "step": 9858 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001469175806392769, + "loss": 0.7355, + "step": 9859 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014690786486472608, + "loss": 0.7573, + "step": 9860 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014689814852243368, + "loss": 0.6364, + "step": 9861 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014688843161251742, + "loss": 0.7509, + "step": 9862 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001468787141350948, + "loss": 0.7436, + "step": 9863 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014686899609028348, + "loss": 0.6355, + "step": 9864 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014685927747820109, + "loss": 0.7383, + "step": 9865 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001468495582989652, + "loss": 0.755, + "step": 9866 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001468398385526935, + "loss": 0.7336, + "step": 9867 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001468301182395036, + "loss": 0.6611, + "step": 9868 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001468203973595132, + "loss": 0.6695, + "step": 9869 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014681067591283987, + "loss": 0.7671, + "step": 9870 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014680095389960136, + "loss": 0.6638, + "step": 9871 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001467912313199153, + "loss": 0.8867, + "step": 9872 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014678150817389935, + "loss": 0.6875, + "step": 9873 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014677178446167118, + "loss": 0.6705, + "step": 9874 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014676206018334858, + "loss": 0.6732, + "step": 9875 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001467523353390491, + "loss": 0.7969, + "step": 9876 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014674260992889054, + "loss": 0.6274, + "step": 9877 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014673288395299062, + "loss": 0.6493, + "step": 9878 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014672315741146697, + "loss": 0.7507, + "step": 9879 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001467134303044374, + "loss": 0.5905, + "step": 9880 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001467037026320196, + "loss": 0.612, + "step": 9881 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001466939743943313, + "loss": 0.8027, + "step": 9882 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014668424559149027, + "loss": 0.6796, + "step": 9883 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014667451622361424, + "loss": 0.563, + "step": 9884 + }, + { + "epoch": 0.35, + "learning_rate": 0.000146664786290821, + "loss": 0.6848, + "step": 9885 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014665505579322828, + "loss": 0.7368, + "step": 9886 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014664532473095387, + "loss": 0.6028, + "step": 9887 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001466355931041155, + "loss": 0.6735, + "step": 9888 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014662586091283104, + "loss": 0.5974, + "step": 9889 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014661612815721823, + "loss": 0.6353, + "step": 9890 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014660639483739485, + "loss": 0.7137, + "step": 9891 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014659666095347877, + "loss": 0.6649, + "step": 9892 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014658692650558773, + "loss": 0.7667, + "step": 9893 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001465771914938396, + "loss": 0.654, + "step": 9894 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001465674559183522, + "loss": 0.6646, + "step": 9895 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014655771977924336, + "loss": 0.6994, + "step": 9896 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001465479830766309, + "loss": 0.6971, + "step": 9897 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014653824581063266, + "loss": 0.7171, + "step": 9898 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014652850798136652, + "loss": 0.6812, + "step": 9899 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014651876958895034, + "loss": 0.73, + "step": 9900 + }, + { + "epoch": 0.35, + "learning_rate": 0.000146509030633502, + "loss": 0.7356, + "step": 9901 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001464992911151393, + "loss": 0.5871, + "step": 9902 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014648955103398024, + "loss": 0.596, + "step": 9903 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014647981039014258, + "loss": 0.5974, + "step": 9904 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014647006918374432, + "loss": 0.6492, + "step": 9905 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014646032741490333, + "loss": 0.6412, + "step": 9906 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014645058508373746, + "loss": 0.6687, + "step": 9907 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001464408421903647, + "loss": 0.7139, + "step": 9908 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001464310987349029, + "loss": 0.7957, + "step": 9909 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014642135471747006, + "loss": 0.6793, + "step": 9910 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001464116101381841, + "loss": 0.6599, + "step": 9911 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014640186499716292, + "loss": 0.6674, + "step": 9912 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014639211929452453, + "loss": 0.7744, + "step": 9913 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014638237303038682, + "loss": 0.6985, + "step": 9914 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014637262620486777, + "loss": 0.7579, + "step": 9915 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014636287881808542, + "loss": 0.7514, + "step": 9916 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014635313087015762, + "loss": 0.7438, + "step": 9917 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014634338236120247, + "loss": 0.6263, + "step": 9918 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014633363329133792, + "loss": 0.6344, + "step": 9919 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014632388366068191, + "loss": 0.7524, + "step": 9920 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001463141334693525, + "loss": 0.7078, + "step": 9921 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001463043827174677, + "loss": 0.6229, + "step": 9922 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001462946314051455, + "loss": 0.7512, + "step": 9923 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014628487953250395, + "loss": 0.7683, + "step": 9924 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014627512709966108, + "loss": 0.7245, + "step": 9925 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001462653741067349, + "loss": 0.5921, + "step": 9926 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014625562055384347, + "loss": 0.6236, + "step": 9927 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014624586644110485, + "loss": 0.7218, + "step": 9928 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001462361117686371, + "loss": 0.646, + "step": 9929 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014622635653655826, + "loss": 0.7494, + "step": 9930 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001462166007449864, + "loss": 0.5754, + "step": 9931 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014620684439403962, + "loss": 0.6508, + "step": 9932 + }, + { + "epoch": 0.35, + "learning_rate": 0.000146197087483836, + "loss": 0.7422, + "step": 9933 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014618733001449364, + "loss": 0.7126, + "step": 9934 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014617757198613054, + "loss": 0.6249, + "step": 9935 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014616781339886497, + "loss": 0.7836, + "step": 9936 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014615805425281496, + "loss": 0.7326, + "step": 9937 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001461482945480986, + "loss": 0.6416, + "step": 9938 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014613853428483407, + "loss": 0.6943, + "step": 9939 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014612877346313944, + "loss": 0.7213, + "step": 9940 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014611901208313292, + "loss": 0.7205, + "step": 9941 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001461092501449326, + "loss": 0.6667, + "step": 9942 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014609948764865663, + "loss": 0.6607, + "step": 9943 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014608972459442322, + "loss": 0.6305, + "step": 9944 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001460799609823505, + "loss": 0.8489, + "step": 9945 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014607019681255664, + "loss": 0.6974, + "step": 9946 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014606043208515983, + "loss": 0.7546, + "step": 9947 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014605066680027824, + "loss": 0.7161, + "step": 9948 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014604090095803008, + "loss": 0.7532, + "step": 9949 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014603113455853356, + "loss": 0.7173, + "step": 9950 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014602136760190684, + "loss": 0.743, + "step": 9951 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014601160008826817, + "loss": 0.647, + "step": 9952 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014600183201773575, + "loss": 0.7522, + "step": 9953 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014599206339042787, + "loss": 0.6655, + "step": 9954 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014598229420646267, + "loss": 0.6729, + "step": 9955 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014597252446595845, + "loss": 0.6872, + "step": 9956 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014596275416903343, + "loss": 0.6423, + "step": 9957 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014595298331580584, + "loss": 0.7598, + "step": 9958 + }, + { + "epoch": 0.35, + "learning_rate": 0.000145943211906394, + "loss": 0.6018, + "step": 9959 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014593343994091616, + "loss": 0.7755, + "step": 9960 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014592366741949056, + "loss": 0.7812, + "step": 9961 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001459138943422355, + "loss": 0.7187, + "step": 9962 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014590412070926924, + "loss": 0.8222, + "step": 9963 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014589434652071014, + "loss": 0.6048, + "step": 9964 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014588457177667645, + "loss": 0.6662, + "step": 9965 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001458747964772865, + "loss": 0.7448, + "step": 9966 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014586502062265857, + "loss": 0.8046, + "step": 9967 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014585524421291098, + "loss": 0.7104, + "step": 9968 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014584546724816211, + "loss": 0.5959, + "step": 9969 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001458356897285303, + "loss": 0.693, + "step": 9970 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014582591165413378, + "loss": 0.6459, + "step": 9971 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014581613302509103, + "loss": 0.8143, + "step": 9972 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014580635384152027, + "loss": 0.6559, + "step": 9973 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014579657410354003, + "loss": 0.8361, + "step": 9974 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014578679381126853, + "loss": 0.6913, + "step": 9975 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001457770129648242, + "loss": 0.8008, + "step": 9976 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014576723156432543, + "loss": 0.6906, + "step": 9977 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014575744960989057, + "loss": 0.748, + "step": 9978 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014574766710163806, + "loss": 0.6598, + "step": 9979 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001457378840396863, + "loss": 0.8124, + "step": 9980 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014572810042415364, + "loss": 0.589, + "step": 9981 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014571831625515854, + "loss": 0.6428, + "step": 9982 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014570853153281942, + "loss": 0.6114, + "step": 9983 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001456987462572547, + "loss": 0.6842, + "step": 9984 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014568896042858282, + "loss": 0.7202, + "step": 9985 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001456791740469222, + "loss": 0.7453, + "step": 9986 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014566938711239134, + "loss": 0.804, + "step": 9987 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014565959962510865, + "loss": 0.7355, + "step": 9988 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014564981158519258, + "loss": 0.7099, + "step": 9989 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014564002299276163, + "loss": 0.7864, + "step": 9990 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014563023384793423, + "loss": 0.6847, + "step": 9991 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014562044415082897, + "loss": 0.5688, + "step": 9992 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001456106539015642, + "loss": 0.7289, + "step": 9993 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001456008631002585, + "loss": 0.6088, + "step": 9994 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014559107174703034, + "loss": 0.8093, + "step": 9995 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014558127984199825, + "loss": 0.7421, + "step": 9996 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001455714873852807, + "loss": 0.6818, + "step": 9997 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014556169437699628, + "loss": 0.6531, + "step": 9998 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014555190081726345, + "loss": 0.622, + "step": 9999 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014554210670620078, + "loss": 0.7396, + "step": 10000 + }, + { + "epoch": 0.35, + "eval_loss": 0.677370548248291, + "eval_runtime": 845.2459, + "eval_samples_per_second": 28.465, + "eval_steps_per_second": 14.233, + "step": 10000 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014553231204392683, + "loss": 0.7027, + "step": 10001 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001455225168305601, + "loss": 0.5885, + "step": 10002 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014551272106621917, + "loss": 0.7296, + "step": 10003 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014550292475102263, + "loss": 0.7367, + "step": 10004 + }, + { + "epoch": 0.35, + "learning_rate": 0.000145493127885089, + "loss": 0.6733, + "step": 10005 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014548333046853688, + "loss": 0.6584, + "step": 10006 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014547353250148482, + "loss": 0.5784, + "step": 10007 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014546373398405143, + "loss": 0.6649, + "step": 10008 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014545393491635533, + "loss": 0.5912, + "step": 10009 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001454441352985151, + "loss": 0.705, + "step": 10010 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014543433513064936, + "loss": 0.7307, + "step": 10011 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001454245344128767, + "loss": 0.5677, + "step": 10012 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014541473314531574, + "loss": 0.677, + "step": 10013 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014540493132808515, + "loss": 0.697, + "step": 10014 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014539512896130348, + "loss": 0.6958, + "step": 10015 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014538532604508946, + "loss": 0.5727, + "step": 10016 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014537552257956173, + "loss": 0.6506, + "step": 10017 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001453657185648389, + "loss": 0.7106, + "step": 10018 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014535591400103966, + "loss": 0.5867, + "step": 10019 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014534610888828264, + "loss": 0.6386, + "step": 10020 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014533630322668658, + "loss": 0.6723, + "step": 10021 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001453264970163701, + "loss": 0.6509, + "step": 10022 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014531669025745193, + "loss": 0.73, + "step": 10023 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014530688295005071, + "loss": 0.7416, + "step": 10024 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014529707509428522, + "loss": 0.5682, + "step": 10025 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014528726669027413, + "loss": 0.6722, + "step": 10026 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001452774577381361, + "loss": 0.7332, + "step": 10027 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014526764823798996, + "loss": 0.6177, + "step": 10028 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014525783818995433, + "loss": 0.7572, + "step": 10029 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014524802759414802, + "loss": 0.7057, + "step": 10030 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014523821645068974, + "loss": 0.7497, + "step": 10031 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014522840475969824, + "loss": 0.7119, + "step": 10032 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014521859252129228, + "loss": 0.6106, + "step": 10033 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001452087797355906, + "loss": 0.706, + "step": 10034 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014519896640271198, + "loss": 0.7554, + "step": 10035 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014518915252277522, + "loss": 0.6598, + "step": 10036 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014517933809589907, + "loss": 0.7119, + "step": 10037 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014516952312220233, + "loss": 0.6331, + "step": 10038 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001451597076018038, + "loss": 0.5961, + "step": 10039 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014514989153482225, + "loss": 0.5399, + "step": 10040 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001451400749213765, + "loss": 0.691, + "step": 10041 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001451302577615854, + "loss": 0.5674, + "step": 10042 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014512044005556774, + "loss": 0.7024, + "step": 10043 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014511062180344234, + "loss": 0.7091, + "step": 10044 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014510080300532803, + "loss": 0.7308, + "step": 10045 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014509098366134366, + "loss": 0.8364, + "step": 10046 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014508116377160812, + "loss": 0.652, + "step": 10047 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014507134333624017, + "loss": 0.6153, + "step": 10048 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014506152235535874, + "loss": 0.8215, + "step": 10049 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001450517008290827, + "loss": 0.7976, + "step": 10050 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014504187875753088, + "loss": 0.6351, + "step": 10051 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001450320561408222, + "loss": 0.8004, + "step": 10052 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001450222329790755, + "loss": 0.7525, + "step": 10053 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014501240927240975, + "loss": 0.6772, + "step": 10054 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014500258502094372, + "loss": 0.7161, + "step": 10055 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014499276022479645, + "loss": 0.6868, + "step": 10056 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014498293488408683, + "loss": 0.6504, + "step": 10057 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001449731089989337, + "loss": 0.7134, + "step": 10058 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014496328256945605, + "loss": 0.7553, + "step": 10059 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001449534555957728, + "loss": 0.6751, + "step": 10060 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001449436280780029, + "loss": 0.6664, + "step": 10061 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001449338000162653, + "loss": 0.6935, + "step": 10062 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014492397141067887, + "loss": 0.6526, + "step": 10063 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014491414226136269, + "loss": 0.7883, + "step": 10064 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014490431256843566, + "loss": 0.713, + "step": 10065 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014489448233201673, + "loss": 0.698, + "step": 10066 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014488465155222495, + "loss": 0.5783, + "step": 10067 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014487482022917925, + "loss": 0.6506, + "step": 10068 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014486498836299862, + "loss": 0.5535, + "step": 10069 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001448551559538021, + "loss": 0.7649, + "step": 10070 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014484532300170866, + "loss": 0.6422, + "step": 10071 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014483548950683733, + "loss": 0.626, + "step": 10072 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001448256554693071, + "loss": 0.6279, + "step": 10073 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014481582088923705, + "loss": 0.7194, + "step": 10074 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014480598576674614, + "loss": 0.6138, + "step": 10075 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014479615010195345, + "loss": 0.7637, + "step": 10076 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014478631389497804, + "loss": 0.6884, + "step": 10077 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014477647714593891, + "loss": 0.6258, + "step": 10078 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014476663985495516, + "loss": 0.7844, + "step": 10079 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014475680202214586, + "loss": 0.8542, + "step": 10080 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014474696364763002, + "loss": 0.6206, + "step": 10081 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001447371247315268, + "loss": 0.6456, + "step": 10082 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014472728527395521, + "loss": 0.7203, + "step": 10083 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001447174452750344, + "loss": 0.6351, + "step": 10084 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014470760473488342, + "loss": 0.7154, + "step": 10085 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014469776365362138, + "loss": 0.6543, + "step": 10086 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014468792203136744, + "loss": 0.5489, + "step": 10087 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014467807986824066, + "loss": 0.685, + "step": 10088 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014466823716436018, + "loss": 0.7486, + "step": 10089 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014465839391984513, + "loss": 0.6565, + "step": 10090 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014464855013481462, + "loss": 0.5951, + "step": 10091 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014463870580938787, + "loss": 0.6675, + "step": 10092 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014462886094368394, + "loss": 0.674, + "step": 10093 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014461901553782205, + "loss": 0.6247, + "step": 10094 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014460916959192131, + "loss": 0.571, + "step": 10095 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014459932310610093, + "loss": 0.6161, + "step": 10096 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014458947608048009, + "loss": 0.7652, + "step": 10097 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014457962851517793, + "loss": 0.7784, + "step": 10098 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014456978041031365, + "loss": 0.7848, + "step": 10099 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001445599317660065, + "loss": 0.6115, + "step": 10100 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014455008258237558, + "loss": 0.7835, + "step": 10101 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014454023285954018, + "loss": 0.613, + "step": 10102 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014453038259761952, + "loss": 0.6302, + "step": 10103 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014452053179673274, + "loss": 0.6543, + "step": 10104 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014451068045699916, + "loss": 0.7752, + "step": 10105 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014450082857853794, + "loss": 0.6517, + "step": 10106 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014449097616146838, + "loss": 0.6701, + "step": 10107 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001444811232059097, + "loss": 0.7142, + "step": 10108 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014447126971198112, + "loss": 0.6843, + "step": 10109 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014446141567980197, + "loss": 0.6652, + "step": 10110 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014445156110949145, + "loss": 0.6622, + "step": 10111 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014444170600116888, + "loss": 0.6847, + "step": 10112 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014443185035495354, + "loss": 0.669, + "step": 10113 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014442199417096467, + "loss": 0.7622, + "step": 10114 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001444121374493216, + "loss": 0.6323, + "step": 10115 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014440228019014365, + "loss": 0.7226, + "step": 10116 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014439242239355004, + "loss": 0.6721, + "step": 10117 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001443825640596602, + "loss": 0.6207, + "step": 10118 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014437270518859334, + "loss": 0.7, + "step": 10119 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014436284578046887, + "loss": 0.5758, + "step": 10120 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014435298583540606, + "loss": 0.6719, + "step": 10121 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014434312535352426, + "loss": 0.7493, + "step": 10122 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014433326433494287, + "loss": 0.7906, + "step": 10123 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014432340277978115, + "loss": 0.6143, + "step": 10124 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014431354068815855, + "loss": 0.7772, + "step": 10125 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014430367806019437, + "loss": 0.678, + "step": 10126 + }, + { + "epoch": 0.35, + "learning_rate": 0.000144293814896008, + "loss": 0.6429, + "step": 10127 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014428395119571883, + "loss": 0.6763, + "step": 10128 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001442740869594462, + "loss": 0.6435, + "step": 10129 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014426422218730958, + "loss": 0.6407, + "step": 10130 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001442543568794283, + "loss": 0.6748, + "step": 10131 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014424449103592177, + "loss": 0.6054, + "step": 10132 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014423462465690942, + "loss": 0.7312, + "step": 10133 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014422475774251067, + "loss": 0.6166, + "step": 10134 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014421489029284488, + "loss": 0.6743, + "step": 10135 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001442050223080316, + "loss": 0.6214, + "step": 10136 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014419515378819015, + "loss": 0.681, + "step": 10137 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014418528473344005, + "loss": 0.643, + "step": 10138 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001441754151439007, + "loss": 0.7097, + "step": 10139 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014416554501969154, + "loss": 0.6511, + "step": 10140 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001441556743609321, + "loss": 0.6543, + "step": 10141 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014414580316774177, + "loss": 0.6812, + "step": 10142 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001441359314402401, + "loss": 0.6509, + "step": 10143 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014412605917854654, + "loss": 0.6827, + "step": 10144 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014411618638278056, + "loss": 0.5518, + "step": 10145 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014410631305306166, + "loss": 0.7032, + "step": 10146 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014409643918950933, + "loss": 0.8308, + "step": 10147 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014408656479224311, + "loss": 0.743, + "step": 10148 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014407668986138252, + "loss": 0.6751, + "step": 10149 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014406681439704702, + "loss": 0.7356, + "step": 10150 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014405693839935618, + "loss": 0.7034, + "step": 10151 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014404706186842953, + "loss": 0.7471, + "step": 10152 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001440371848043866, + "loss": 0.6406, + "step": 10153 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014402730720734693, + "loss": 0.627, + "step": 10154 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014401742907743008, + "loss": 0.7247, + "step": 10155 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001440075504147556, + "loss": 0.6833, + "step": 10156 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014399767121944313, + "loss": 0.7595, + "step": 10157 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014398779149161212, + "loss": 0.733, + "step": 10158 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001439779112313822, + "loss": 0.6526, + "step": 10159 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014396803043887295, + "loss": 0.6521, + "step": 10160 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014395814911420397, + "loss": 0.6743, + "step": 10161 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014394826725749486, + "loss": 0.6755, + "step": 10162 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014393838486886521, + "loss": 0.722, + "step": 10163 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014392850194843465, + "loss": 0.7346, + "step": 10164 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014391861849632277, + "loss": 0.774, + "step": 10165 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014390873451264924, + "loss": 0.7192, + "step": 10166 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014389884999753362, + "loss": 0.6827, + "step": 10167 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001438889649510956, + "loss": 0.6476, + "step": 10168 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001438790793734548, + "loss": 0.7033, + "step": 10169 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014386919326473083, + "loss": 0.6428, + "step": 10170 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014385930662504342, + "loss": 0.6877, + "step": 10171 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001438494194545122, + "loss": 0.7192, + "step": 10172 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014383953175325681, + "loss": 0.6533, + "step": 10173 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014382964352139697, + "loss": 0.6675, + "step": 10174 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014381975475905235, + "loss": 0.705, + "step": 10175 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001438098654663426, + "loss": 0.6948, + "step": 10176 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001437999756433875, + "loss": 0.6943, + "step": 10177 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001437900852903066, + "loss": 0.6754, + "step": 10178 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014378019440721974, + "loss": 0.5775, + "step": 10179 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001437703029942466, + "loss": 0.6232, + "step": 10180 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014376041105150687, + "loss": 0.6992, + "step": 10181 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014375051857912032, + "loss": 0.6313, + "step": 10182 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001437406255772066, + "loss": 0.6978, + "step": 10183 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014373073204588556, + "loss": 0.5897, + "step": 10184 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014372083798527686, + "loss": 0.6608, + "step": 10185 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014371094339550027, + "loss": 0.6403, + "step": 10186 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014370104827667558, + "loss": 0.7513, + "step": 10187 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001436911526289225, + "loss": 0.7305, + "step": 10188 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001436812564523609, + "loss": 0.6607, + "step": 10189 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014367135974711044, + "loss": 0.6051, + "step": 10190 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001436614625132909, + "loss": 0.7397, + "step": 10191 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001436515647510222, + "loss": 0.6031, + "step": 10192 + }, + { + "epoch": 0.36, + "learning_rate": 0.000143641666460424, + "loss": 0.677, + "step": 10193 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001436317676416162, + "loss": 0.6864, + "step": 10194 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014362186829471857, + "loss": 0.6347, + "step": 10195 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001436119684198509, + "loss": 0.6943, + "step": 10196 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014360206801713302, + "loss": 0.606, + "step": 10197 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014359216708668482, + "loss": 0.7592, + "step": 10198 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014358226562862604, + "loss": 0.7176, + "step": 10199 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014357236364307657, + "loss": 0.5967, + "step": 10200 + }, + { + "epoch": 0.36, + "eval_loss": 0.6702423095703125, + "eval_runtime": 850.3575, + "eval_samples_per_second": 28.294, + "eval_steps_per_second": 14.147, + "step": 10200 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014356246113015627, + "loss": 0.7325, + "step": 10201 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014355255808998498, + "loss": 0.7146, + "step": 10202 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014354265452268256, + "loss": 0.7795, + "step": 10203 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014353275042836884, + "loss": 0.5844, + "step": 10204 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014352284580716377, + "loss": 0.6284, + "step": 10205 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014351294065918714, + "loss": 0.6294, + "step": 10206 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014350303498455894, + "loss": 0.7694, + "step": 10207 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014349312878339895, + "loss": 0.6569, + "step": 10208 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014348322205582714, + "loss": 0.6025, + "step": 10209 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001434733148019634, + "loss": 0.6832, + "step": 10210 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001434634070219276, + "loss": 0.7089, + "step": 10211 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001434534987158397, + "loss": 0.6066, + "step": 10212 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014344358988381965, + "loss": 0.7098, + "step": 10213 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001434336805259873, + "loss": 0.6479, + "step": 10214 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014342377064246268, + "loss": 0.6679, + "step": 10215 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014341386023336566, + "loss": 0.5871, + "step": 10216 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014340394929881621, + "loss": 0.5967, + "step": 10217 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001433940378389343, + "loss": 0.6574, + "step": 10218 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014338412585383986, + "loss": 0.7416, + "step": 10219 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001433742133436529, + "loss": 0.7615, + "step": 10220 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014336430030849337, + "loss": 0.7, + "step": 10221 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014335438674848125, + "loss": 0.7454, + "step": 10222 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014334447266373655, + "loss": 0.6757, + "step": 10223 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014333455805437924, + "loss": 0.6931, + "step": 10224 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001433246429205293, + "loss": 0.7224, + "step": 10225 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014331472726230674, + "loss": 0.6548, + "step": 10226 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014330481107983163, + "loss": 0.5683, + "step": 10227 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014329489437322397, + "loss": 0.5982, + "step": 10228 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001432849771426037, + "loss": 0.7397, + "step": 10229 + }, + { + "epoch": 0.36, + "learning_rate": 0.000143275059388091, + "loss": 0.7089, + "step": 10230 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014326514110980576, + "loss": 0.6457, + "step": 10231 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014325522230786811, + "loss": 0.7372, + "step": 10232 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014324530298239808, + "loss": 0.6505, + "step": 10233 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001432353831335157, + "loss": 0.5751, + "step": 10234 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014322546276134115, + "loss": 0.6447, + "step": 10235 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014321554186599435, + "loss": 0.6125, + "step": 10236 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014320562044759544, + "loss": 0.6685, + "step": 10237 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014319569850626448, + "loss": 0.6571, + "step": 10238 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001431857760421216, + "loss": 0.7286, + "step": 10239 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014317585305528686, + "loss": 0.7018, + "step": 10240 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001431659295458804, + "loss": 0.7548, + "step": 10241 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014315600551402229, + "loss": 0.6865, + "step": 10242 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014314608095983264, + "loss": 0.6319, + "step": 10243 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014313615588343158, + "loss": 0.6397, + "step": 10244 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014312623028493927, + "loss": 0.7469, + "step": 10245 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014311630416447582, + "loss": 0.6344, + "step": 10246 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014310637752216131, + "loss": 0.7747, + "step": 10247 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014309645035811598, + "loss": 0.6646, + "step": 10248 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014308652267245995, + "loss": 0.666, + "step": 10249 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014307659446531333, + "loss": 0.6488, + "step": 10250 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014306666573679635, + "loss": 0.6693, + "step": 10251 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014305673648702913, + "loss": 0.8382, + "step": 10252 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001430468067161319, + "loss": 0.6615, + "step": 10253 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014303687642422484, + "loss": 0.6626, + "step": 10254 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014302694561142804, + "loss": 0.7158, + "step": 10255 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014301701427786183, + "loss": 0.6788, + "step": 10256 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001430070824236463, + "loss": 0.6496, + "step": 10257 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014299715004890176, + "loss": 0.6726, + "step": 10258 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014298721715374837, + "loss": 0.6161, + "step": 10259 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001429772837383063, + "loss": 0.6315, + "step": 10260 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001429673498026959, + "loss": 0.724, + "step": 10261 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014295741534703732, + "loss": 0.5452, + "step": 10262 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014294748037145083, + "loss": 0.6594, + "step": 10263 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014293754487605664, + "loss": 0.6562, + "step": 10264 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014292760886097503, + "loss": 0.7095, + "step": 10265 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014291767232632626, + "loss": 0.6648, + "step": 10266 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001429077352722306, + "loss": 0.6941, + "step": 10267 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014289779769880828, + "loss": 0.6807, + "step": 10268 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014288785960617966, + "loss": 0.6006, + "step": 10269 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014287792099446493, + "loss": 0.6659, + "step": 10270 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014286798186378445, + "loss": 0.6713, + "step": 10271 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001428580422142585, + "loss": 0.695, + "step": 10272 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014284810204600733, + "loss": 0.7382, + "step": 10273 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014283816135915133, + "loss": 0.6469, + "step": 10274 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014282822015381077, + "loss": 0.6867, + "step": 10275 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014281827843010597, + "loss": 0.6883, + "step": 10276 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001428083361881573, + "loss": 0.5845, + "step": 10277 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014279839342808503, + "loss": 0.6867, + "step": 10278 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014278845015000956, + "loss": 0.6259, + "step": 10279 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014277850635405117, + "loss": 0.5727, + "step": 10280 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014276856204033028, + "loss": 0.6999, + "step": 10281 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014275861720896725, + "loss": 0.6081, + "step": 10282 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014274867186008235, + "loss": 0.6685, + "step": 10283 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001427387259937961, + "loss": 0.6839, + "step": 10284 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014272877961022876, + "loss": 0.7359, + "step": 10285 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014271883270950073, + "loss": 0.6383, + "step": 10286 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014270888529173244, + "loss": 0.6642, + "step": 10287 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014269893735704425, + "loss": 0.6724, + "step": 10288 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014268898890555662, + "loss": 0.6289, + "step": 10289 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014267903993738992, + "loss": 0.7313, + "step": 10290 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014266909045266454, + "loss": 0.6744, + "step": 10291 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014265914045150097, + "loss": 0.6451, + "step": 10292 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014264918993401956, + "loss": 0.6981, + "step": 10293 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014263923890034082, + "loss": 0.7257, + "step": 10294 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001426292873505851, + "loss": 0.6393, + "step": 10295 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014261933528487294, + "loss": 0.6896, + "step": 10296 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014260938270332476, + "loss": 0.7898, + "step": 10297 + }, + { + "epoch": 0.36, + "learning_rate": 0.000142599429606061, + "loss": 0.6488, + "step": 10298 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014258947599320214, + "loss": 0.7036, + "step": 10299 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014257952186486864, + "loss": 0.7424, + "step": 10300 + }, + { + "epoch": 0.36, + "learning_rate": 0.000142569567221181, + "loss": 0.6084, + "step": 10301 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014255961206225968, + "loss": 0.6669, + "step": 10302 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001425496563882252, + "loss": 0.6212, + "step": 10303 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014253970019919803, + "loss": 0.648, + "step": 10304 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001425297434952987, + "loss": 0.7031, + "step": 10305 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014251978627664768, + "loss": 0.7148, + "step": 10306 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001425098285433655, + "loss": 0.5999, + "step": 10307 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001424998702955727, + "loss": 0.6985, + "step": 10308 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014248991153338985, + "loss": 0.6811, + "step": 10309 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014247995225693738, + "loss": 0.7722, + "step": 10310 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001424699924663359, + "loss": 0.7148, + "step": 10311 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001424600321617059, + "loss": 0.7351, + "step": 10312 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014245007134316802, + "loss": 0.7626, + "step": 10313 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014244011001084275, + "loss": 0.7309, + "step": 10314 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001424301481648507, + "loss": 0.7305, + "step": 10315 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001424201858053124, + "loss": 0.6737, + "step": 10316 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014241022293234843, + "loss": 0.5923, + "step": 10317 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014240025954607942, + "loss": 0.6275, + "step": 10318 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001423902956466259, + "loss": 0.7041, + "step": 10319 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014238033123410853, + "loss": 0.6638, + "step": 10320 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014237036630864784, + "loss": 0.5912, + "step": 10321 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014236040087036453, + "loss": 0.6137, + "step": 10322 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014235043491937915, + "loss": 0.6412, + "step": 10323 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014234046845581228, + "loss": 0.6623, + "step": 10324 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014233050147978467, + "loss": 0.6477, + "step": 10325 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014232053399141682, + "loss": 0.7267, + "step": 10326 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001423105659908295, + "loss": 0.6456, + "step": 10327 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014230059747814328, + "loss": 0.6635, + "step": 10328 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014229062845347879, + "loss": 0.7643, + "step": 10329 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014228065891695675, + "loss": 0.6536, + "step": 10330 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014227068886869777, + "loss": 0.6589, + "step": 10331 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014226071830882256, + "loss": 0.6833, + "step": 10332 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001422507472374518, + "loss": 0.614, + "step": 10333 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014224077565470612, + "loss": 0.574, + "step": 10334 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001422308035607063, + "loss": 0.5725, + "step": 10335 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014222083095557296, + "loss": 0.7411, + "step": 10336 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001422108578394268, + "loss": 0.6386, + "step": 10337 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001422008842123886, + "loss": 0.7668, + "step": 10338 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014219091007457898, + "loss": 0.6037, + "step": 10339 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014218093542611872, + "loss": 0.6847, + "step": 10340 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014217096026712854, + "loss": 0.6333, + "step": 10341 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014216098459772917, + "loss": 0.619, + "step": 10342 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014215100841804133, + "loss": 0.7566, + "step": 10343 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001421410317281858, + "loss": 0.706, + "step": 10344 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001421310545282833, + "loss": 0.6917, + "step": 10345 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001421210768184546, + "loss": 0.6429, + "step": 10346 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014211109859882046, + "loss": 0.6911, + "step": 10347 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014210111986950164, + "loss": 0.6674, + "step": 10348 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014209114063061894, + "loss": 0.6679, + "step": 10349 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014208116088229315, + "loss": 0.6049, + "step": 10350 + }, + { + "epoch": 0.36, + "learning_rate": 0.000142071180624645, + "loss": 0.6207, + "step": 10351 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014206119985779535, + "loss": 0.7124, + "step": 10352 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014205121858186496, + "loss": 0.6605, + "step": 10353 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014204123679697467, + "loss": 0.7107, + "step": 10354 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014203125450324523, + "loss": 0.7486, + "step": 10355 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014202127170079756, + "loss": 0.7435, + "step": 10356 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014201128838975237, + "loss": 0.6639, + "step": 10357 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014200130457023058, + "loss": 0.6571, + "step": 10358 + }, + { + "epoch": 0.36, + "learning_rate": 0.000141991320242353, + "loss": 0.6362, + "step": 10359 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014198133540624047, + "loss": 0.7177, + "step": 10360 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014197135006201381, + "loss": 0.6104, + "step": 10361 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001419613642097939, + "loss": 0.6078, + "step": 10362 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014195137784970164, + "loss": 0.7583, + "step": 10363 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014194139098185784, + "loss": 0.6072, + "step": 10364 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014193140360638343, + "loss": 0.6552, + "step": 10365 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014192141572339924, + "loss": 0.6267, + "step": 10366 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014191142733302616, + "loss": 0.6481, + "step": 10367 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014190143843538513, + "loss": 0.7046, + "step": 10368 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014189144903059702, + "loss": 0.6868, + "step": 10369 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001418814591187827, + "loss": 0.5921, + "step": 10370 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014187146870006315, + "loss": 0.776, + "step": 10371 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014186147777455922, + "loss": 0.753, + "step": 10372 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001418514863423919, + "loss": 0.6278, + "step": 10373 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014184149440368206, + "loss": 0.6616, + "step": 10374 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014183150195855066, + "loss": 0.5971, + "step": 10375 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014182150900711866, + "loss": 0.738, + "step": 10376 + }, + { + "epoch": 0.36, + "learning_rate": 0.000141811515549507, + "loss": 0.7135, + "step": 10377 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001418015215858366, + "loss": 0.6449, + "step": 10378 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014179152711622846, + "loss": 0.6896, + "step": 10379 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001417815321408035, + "loss": 0.7141, + "step": 10380 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014177153665968277, + "loss": 0.6708, + "step": 10381 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014176154067298716, + "loss": 0.7056, + "step": 10382 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014175154418083773, + "loss": 0.6339, + "step": 10383 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014174154718335545, + "loss": 0.7029, + "step": 10384 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014173154968066126, + "loss": 0.6692, + "step": 10385 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014172155167287625, + "loss": 0.6182, + "step": 10386 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001417115531601214, + "loss": 0.6473, + "step": 10387 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014170155414251767, + "loss": 0.6792, + "step": 10388 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014169155462018614, + "loss": 0.7396, + "step": 10389 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014168155459324782, + "loss": 0.6213, + "step": 10390 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014167155406182374, + "loss": 0.7027, + "step": 10391 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014166155302603497, + "loss": 0.6883, + "step": 10392 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001416515514860025, + "loss": 0.6963, + "step": 10393 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014164154944184746, + "loss": 0.6115, + "step": 10394 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014163154689369082, + "loss": 0.6915, + "step": 10395 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014162154384165368, + "loss": 0.7394, + "step": 10396 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014161154028585716, + "loss": 0.6681, + "step": 10397 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014160153622642225, + "loss": 0.6392, + "step": 10398 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001415915316634701, + "loss": 0.8041, + "step": 10399 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014158152659712176, + "loss": 0.6984, + "step": 10400 + }, + { + "epoch": 0.36, + "eval_loss": 0.6635603308677673, + "eval_runtime": 850.2066, + "eval_samples_per_second": 28.299, + "eval_steps_per_second": 14.15, + "step": 10400 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014157152102749836, + "loss": 0.5837, + "step": 10401 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014156151495472096, + "loss": 0.6337, + "step": 10402 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014155150837891068, + "loss": 0.7091, + "step": 10403 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014154150130018866, + "loss": 0.6451, + "step": 10404 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014153149371867597, + "loss": 0.5755, + "step": 10405 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014152148563449378, + "loss": 0.6791, + "step": 10406 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014151147704776322, + "loss": 0.6107, + "step": 10407 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014150146795860536, + "loss": 0.6137, + "step": 10408 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014149145836714143, + "loss": 0.6205, + "step": 10409 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014148144827349257, + "loss": 0.7692, + "step": 10410 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014147143767777987, + "loss": 0.7522, + "step": 10411 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014146142658012456, + "loss": 0.6281, + "step": 10412 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014145141498064773, + "loss": 0.7569, + "step": 10413 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014144140287947066, + "loss": 0.6681, + "step": 10414 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014143139027671442, + "loss": 0.6543, + "step": 10415 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001414213771725003, + "loss": 0.7398, + "step": 10416 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014141136356694942, + "loss": 0.6389, + "step": 10417 + }, + { + "epoch": 0.36, + "learning_rate": 0.000141401349460183, + "loss": 0.5827, + "step": 10418 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001413913348523222, + "loss": 0.6517, + "step": 10419 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014138131974348833, + "loss": 0.5731, + "step": 10420 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001413713041338025, + "loss": 0.693, + "step": 10421 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014136128802338602, + "loss": 0.7598, + "step": 10422 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001413512714123601, + "loss": 0.7195, + "step": 10423 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014134125430084588, + "loss": 0.5762, + "step": 10424 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014133123668896473, + "loss": 0.639, + "step": 10425 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014132121857683783, + "loss": 0.643, + "step": 10426 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014131119996458645, + "loss": 0.6576, + "step": 10427 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014130118085233182, + "loss": 0.5875, + "step": 10428 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014129116124019523, + "loss": 0.624, + "step": 10429 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014128114112829798, + "loss": 0.6194, + "step": 10430 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014127112051676125, + "loss": 0.6184, + "step": 10431 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014126109940570643, + "loss": 0.6833, + "step": 10432 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014125107779525476, + "loss": 0.7258, + "step": 10433 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014124105568552754, + "loss": 0.6466, + "step": 10434 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014123103307664607, + "loss": 0.7442, + "step": 10435 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014122100996873167, + "loss": 0.6979, + "step": 10436 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014121098636190563, + "loss": 0.6285, + "step": 10437 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014120096225628926, + "loss": 0.6171, + "step": 10438 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014119093765200394, + "loss": 0.731, + "step": 10439 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014118091254917094, + "loss": 0.7445, + "step": 10440 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014117088694791163, + "loss": 0.6908, + "step": 10441 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014116086084834737, + "loss": 0.6255, + "step": 10442 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014115083425059947, + "loss": 0.7598, + "step": 10443 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001411408071547893, + "loss": 0.6679, + "step": 10444 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001411307795610382, + "loss": 0.7466, + "step": 10445 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014112075146946758, + "loss": 0.7547, + "step": 10446 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001411107228801988, + "loss": 0.6546, + "step": 10447 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001411006937933532, + "loss": 0.6265, + "step": 10448 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014109066420905223, + "loss": 0.5531, + "step": 10449 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014108063412741727, + "loss": 0.6329, + "step": 10450 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014107060354856966, + "loss": 0.6176, + "step": 10451 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014106057247263086, + "loss": 0.7714, + "step": 10452 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014105054089972224, + "loss": 0.6158, + "step": 10453 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014104050882996524, + "loss": 0.661, + "step": 10454 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014103047626348129, + "loss": 0.7138, + "step": 10455 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001410204432003918, + "loss": 0.6241, + "step": 10456 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001410104096408182, + "loss": 0.6243, + "step": 10457 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014100037558488195, + "loss": 0.6904, + "step": 10458 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014099034103270448, + "loss": 0.6566, + "step": 10459 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014098030598440724, + "loss": 0.6502, + "step": 10460 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014097027044011168, + "loss": 0.6495, + "step": 10461 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001409602343999393, + "loss": 0.651, + "step": 10462 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014095019786401154, + "loss": 0.6304, + "step": 10463 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014094016083244983, + "loss": 0.6358, + "step": 10464 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014093012330537575, + "loss": 0.7215, + "step": 10465 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014092008528291075, + "loss": 0.6758, + "step": 10466 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014091004676517626, + "loss": 0.6501, + "step": 10467 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001409000077522939, + "loss": 0.5798, + "step": 10468 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014088996824438509, + "loss": 0.6001, + "step": 10469 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001408799282415713, + "loss": 0.7123, + "step": 10470 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001408698877439742, + "loss": 0.6093, + "step": 10471 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014085984675171515, + "loss": 0.6789, + "step": 10472 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014084980526491578, + "loss": 0.61, + "step": 10473 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001408397632836976, + "loss": 0.6528, + "step": 10474 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014082972080818213, + "loss": 0.6588, + "step": 10475 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014081967783849094, + "loss": 0.7558, + "step": 10476 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014080963437474556, + "loss": 0.6373, + "step": 10477 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001407995904170676, + "loss": 0.6025, + "step": 10478 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001407895459655786, + "loss": 0.7021, + "step": 10479 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014077950102040008, + "loss": 0.5845, + "step": 10480 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014076945558165368, + "loss": 0.8409, + "step": 10481 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014075940964946099, + "loss": 0.642, + "step": 10482 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014074936322394353, + "loss": 0.6826, + "step": 10483 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014073931630522298, + "loss": 0.617, + "step": 10484 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014072926889342085, + "loss": 0.8105, + "step": 10485 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014071922098865883, + "loss": 0.6284, + "step": 10486 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014070917259105853, + "loss": 0.6645, + "step": 10487 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001406991237007415, + "loss": 0.7117, + "step": 10488 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014068907431782942, + "loss": 0.7766, + "step": 10489 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014067902444244386, + "loss": 0.5836, + "step": 10490 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014066897407470657, + "loss": 0.6281, + "step": 10491 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001406589232147391, + "loss": 0.6532, + "step": 10492 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014064887186266315, + "loss": 0.669, + "step": 10493 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001406388200186003, + "loss": 0.6911, + "step": 10494 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014062876768267227, + "loss": 0.6142, + "step": 10495 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014061871485500076, + "loss": 0.7009, + "step": 10496 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014060866153570736, + "loss": 0.6035, + "step": 10497 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014059860772491377, + "loss": 0.7028, + "step": 10498 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014058855342274175, + "loss": 0.6686, + "step": 10499 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001405784986293129, + "loss": 0.6229, + "step": 10500 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014056844334474895, + "loss": 0.611, + "step": 10501 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001405583875691716, + "loss": 0.6461, + "step": 10502 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014054833130270258, + "loss": 0.6485, + "step": 10503 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014053827454546357, + "loss": 0.7223, + "step": 10504 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014052821729757632, + "loss": 0.751, + "step": 10505 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014051815955916253, + "loss": 0.6913, + "step": 10506 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014050810133034393, + "loss": 0.7054, + "step": 10507 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014049804261124228, + "loss": 0.6676, + "step": 10508 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014048798340197933, + "loss": 0.6665, + "step": 10509 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001404779237026768, + "loss": 0.7871, + "step": 10510 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014046786351345648, + "loss": 0.7229, + "step": 10511 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014045780283444012, + "loss": 0.6547, + "step": 10512 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014044774166574946, + "loss": 0.6599, + "step": 10513 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001404376800075063, + "loss": 0.5673, + "step": 10514 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001404276178598324, + "loss": 0.5519, + "step": 10515 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001404175552228496, + "loss": 0.6474, + "step": 10516 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014040749209667962, + "loss": 0.6395, + "step": 10517 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001403974284814443, + "loss": 0.665, + "step": 10518 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014038736437726543, + "loss": 0.7206, + "step": 10519 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014037729978426484, + "loss": 0.7856, + "step": 10520 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001403672347025643, + "loss": 0.5989, + "step": 10521 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014035716913228568, + "loss": 0.5498, + "step": 10522 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014034710307355076, + "loss": 0.668, + "step": 10523 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001403370365264814, + "loss": 0.6136, + "step": 10524 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014032696949119945, + "loss": 0.7532, + "step": 10525 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014031690196782674, + "loss": 0.6583, + "step": 10526 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014030683395648512, + "loss": 0.5832, + "step": 10527 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014029676545729644, + "loss": 0.7194, + "step": 10528 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001402866964703826, + "loss": 0.6824, + "step": 10529 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001402766269958654, + "loss": 0.7969, + "step": 10530 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014026655703386676, + "loss": 0.6305, + "step": 10531 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001402564865845086, + "loss": 0.5681, + "step": 10532 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001402464156479127, + "loss": 0.7382, + "step": 10533 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014023634422420105, + "loss": 0.6407, + "step": 10534 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001402262723134955, + "loss": 0.5764, + "step": 10535 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014021619991591794, + "loss": 0.6959, + "step": 10536 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014020612703159033, + "loss": 0.7174, + "step": 10537 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014019605366063454, + "loss": 0.6825, + "step": 10538 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014018597980317252, + "loss": 0.5834, + "step": 10539 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001401759054593262, + "loss": 0.629, + "step": 10540 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014016583062921746, + "loss": 0.5603, + "step": 10541 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014015575531296833, + "loss": 0.7312, + "step": 10542 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014014567951070066, + "loss": 0.6409, + "step": 10543 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014013560322253646, + "loss": 0.582, + "step": 10544 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014012552644859766, + "loss": 0.7249, + "step": 10545 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014011544918900623, + "loss": 0.6212, + "step": 10546 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014010537144388416, + "loss": 0.6275, + "step": 10547 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001400952932133534, + "loss": 0.7215, + "step": 10548 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014008521449753594, + "loss": 0.7019, + "step": 10549 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014007513529655378, + "loss": 0.6549, + "step": 10550 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014006505561052889, + "loss": 0.6741, + "step": 10551 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014005497543958324, + "loss": 0.6738, + "step": 10552 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014004489478383888, + "loss": 0.671, + "step": 10553 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014003481364341779, + "loss": 0.8451, + "step": 10554 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014002473201844205, + "loss": 0.8018, + "step": 10555 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014001464990903362, + "loss": 0.7343, + "step": 10556 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001400045673153145, + "loss": 0.7271, + "step": 10557 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013999448423740677, + "loss": 0.7159, + "step": 10558 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013998440067543246, + "loss": 0.7361, + "step": 10559 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013997431662951366, + "loss": 0.6325, + "step": 10560 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013996423209977233, + "loss": 0.5891, + "step": 10561 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001399541470863306, + "loss": 0.6759, + "step": 10562 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013994406158931053, + "loss": 0.6338, + "step": 10563 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001399339756088341, + "loss": 0.59, + "step": 10564 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013992388914502347, + "loss": 0.6773, + "step": 10565 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001399138021980007, + "loss": 0.7049, + "step": 10566 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001399037147678879, + "loss": 0.6081, + "step": 10567 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013989362685480709, + "loss": 0.6145, + "step": 10568 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013988353845888042, + "loss": 0.674, + "step": 10569 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013987344958023, + "loss": 0.5691, + "step": 10570 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013986336021897794, + "loss": 0.6894, + "step": 10571 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001398532703752463, + "loss": 0.6649, + "step": 10572 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013984318004915726, + "loss": 0.7298, + "step": 10573 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013983308924083292, + "loss": 0.476, + "step": 10574 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013982299795039545, + "loss": 0.6634, + "step": 10575 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013981290617796693, + "loss": 0.6301, + "step": 10576 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013980281392366953, + "loss": 0.8111, + "step": 10577 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001397927211876254, + "loss": 0.7083, + "step": 10578 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013978262796995669, + "loss": 0.6054, + "step": 10579 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013977253427078557, + "loss": 0.5536, + "step": 10580 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013976244009023423, + "loss": 0.7607, + "step": 10581 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013975234542842478, + "loss": 0.7953, + "step": 10582 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013974225028547948, + "loss": 0.6751, + "step": 10583 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013973215466152043, + "loss": 0.5998, + "step": 10584 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013972205855666988, + "loss": 0.6469, + "step": 10585 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013971196197105004, + "loss": 0.6536, + "step": 10586 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013970186490478304, + "loss": 0.5962, + "step": 10587 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013969176735799117, + "loss": 0.7225, + "step": 10588 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013968166933079655, + "loss": 0.6759, + "step": 10589 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013967157082332148, + "loss": 0.6594, + "step": 10590 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013966147183568819, + "loss": 0.7251, + "step": 10591 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013965137236801885, + "loss": 0.7509, + "step": 10592 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013964127242043574, + "loss": 0.6564, + "step": 10593 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001396311719930611, + "loss": 0.6722, + "step": 10594 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013962107108601713, + "loss": 0.6514, + "step": 10595 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013961096969942617, + "loss": 0.6438, + "step": 10596 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001396008678334104, + "loss": 0.6992, + "step": 10597 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013959076548809217, + "loss": 0.7596, + "step": 10598 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013958066266359366, + "loss": 0.7018, + "step": 10599 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001395705593600372, + "loss": 0.5621, + "step": 10600 + }, + { + "epoch": 0.37, + "eval_loss": 0.6578021049499512, + "eval_runtime": 843.9845, + "eval_samples_per_second": 28.508, + "eval_steps_per_second": 14.254, + "step": 10600 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013956045557754506, + "loss": 0.6549, + "step": 10601 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013955035131623956, + "loss": 0.581, + "step": 10602 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013954024657624294, + "loss": 0.7946, + "step": 10603 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013953014135767756, + "loss": 0.6834, + "step": 10604 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013952003566066568, + "loss": 0.6753, + "step": 10605 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013950992948532964, + "loss": 0.6835, + "step": 10606 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013949982283179176, + "loss": 0.6241, + "step": 10607 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001394897157001743, + "loss": 0.6383, + "step": 10608 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001394796080905997, + "loss": 0.7453, + "step": 10609 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013946950000319022, + "loss": 0.717, + "step": 10610 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013945939143806822, + "loss": 0.6875, + "step": 10611 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013944928239535603, + "loss": 0.6341, + "step": 10612 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013943917287517605, + "loss": 0.6492, + "step": 10613 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001394290628776506, + "loss": 0.586, + "step": 10614 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013941895240290203, + "loss": 0.5919, + "step": 10615 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013940884145105276, + "loss": 0.593, + "step": 10616 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013939873002222515, + "loss": 0.6594, + "step": 10617 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013938861811654154, + "loss": 0.6819, + "step": 10618 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001393785057341244, + "loss": 0.7073, + "step": 10619 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013936839287509605, + "loss": 0.7105, + "step": 10620 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013935827953957887, + "loss": 0.5861, + "step": 10621 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013934816572769537, + "loss": 0.6653, + "step": 10622 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013933805143956786, + "loss": 0.5596, + "step": 10623 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001393279366753188, + "loss": 0.6198, + "step": 10624 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013931782143507067, + "loss": 0.7456, + "step": 10625 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013930770571894576, + "loss": 0.7637, + "step": 10626 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013929758952706663, + "loss": 0.6337, + "step": 10627 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013928747285955564, + "loss": 0.6896, + "step": 10628 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001392773557165353, + "loss": 0.6926, + "step": 10629 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013926723809812799, + "loss": 0.6438, + "step": 10630 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001392571200044562, + "loss": 0.6101, + "step": 10631 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013924700143564243, + "loss": 0.6755, + "step": 10632 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013923688239180908, + "loss": 0.7177, + "step": 10633 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001392267628730787, + "loss": 0.6807, + "step": 10634 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001392166428795737, + "loss": 0.6384, + "step": 10635 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001392065224114166, + "loss": 0.6589, + "step": 10636 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013919640146872988, + "loss": 0.625, + "step": 10637 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013918628005163603, + "loss": 0.6727, + "step": 10638 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001391761581602576, + "loss": 0.7117, + "step": 10639 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013916603579471705, + "loss": 0.725, + "step": 10640 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013915591295513688, + "loss": 0.6119, + "step": 10641 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001391457896416397, + "loss": 0.6674, + "step": 10642 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001391356658543479, + "loss": 0.7437, + "step": 10643 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013912554159338413, + "loss": 0.715, + "step": 10644 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001391154168588709, + "loss": 0.7019, + "step": 10645 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013910529165093072, + "loss": 0.5532, + "step": 10646 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013909516596968615, + "loss": 0.6841, + "step": 10647 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013908503981525973, + "loss": 0.7936, + "step": 10648 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001390749131877741, + "loss": 0.7252, + "step": 10649 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013906478608735173, + "loss": 0.6412, + "step": 10650 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001390546585141152, + "loss": 0.5916, + "step": 10651 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013904453046818715, + "loss": 0.6851, + "step": 10652 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013903440194969012, + "loss": 0.6893, + "step": 10653 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013902427295874669, + "loss": 0.5087, + "step": 10654 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001390141434954795, + "loss": 0.7776, + "step": 10655 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001390040135600111, + "loss": 0.6081, + "step": 10656 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013899388315246413, + "loss": 0.6125, + "step": 10657 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001389837522729612, + "loss": 0.6991, + "step": 10658 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013897362092162488, + "loss": 0.7126, + "step": 10659 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013896348909857789, + "loss": 0.6596, + "step": 10660 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013895335680394274, + "loss": 0.6631, + "step": 10661 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013894322403784217, + "loss": 0.6242, + "step": 10662 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013893309080039877, + "loss": 0.6121, + "step": 10663 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013892295709173514, + "loss": 0.663, + "step": 10664 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013891282291197404, + "loss": 0.6596, + "step": 10665 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013890268826123803, + "loss": 0.8141, + "step": 10666 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001388925531396498, + "loss": 0.6635, + "step": 10667 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013888241754733208, + "loss": 0.5234, + "step": 10668 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013887228148440746, + "loss": 0.7124, + "step": 10669 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013886214495099867, + "loss": 0.702, + "step": 10670 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001388520079472284, + "loss": 0.6649, + "step": 10671 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013884187047321928, + "loss": 0.7092, + "step": 10672 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013883173252909406, + "loss": 0.6368, + "step": 10673 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013882159411497544, + "loss": 0.6431, + "step": 10674 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013881145523098612, + "loss": 0.6531, + "step": 10675 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013880131587724884, + "loss": 0.6409, + "step": 10676 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013879117605388624, + "loss": 0.6691, + "step": 10677 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013878103576102116, + "loss": 0.6781, + "step": 10678 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013877089499877624, + "loss": 0.7155, + "step": 10679 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013876075376727427, + "loss": 0.7081, + "step": 10680 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013875061206663797, + "loss": 0.6641, + "step": 10681 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013874046989699004, + "loss": 0.6948, + "step": 10682 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013873032725845335, + "loss": 0.6196, + "step": 10683 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013872018415115055, + "loss": 0.7594, + "step": 10684 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001387100405752045, + "loss": 0.6382, + "step": 10685 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013869989653073788, + "loss": 0.761, + "step": 10686 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001386897520178735, + "loss": 0.6632, + "step": 10687 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001386796070367342, + "loss": 0.6897, + "step": 10688 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001386694615874427, + "loss": 0.5915, + "step": 10689 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013865931567012178, + "loss": 0.552, + "step": 10690 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001386491692848943, + "loss": 0.6533, + "step": 10691 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013863902243188304, + "loss": 0.7614, + "step": 10692 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013862887511121075, + "loss": 0.7054, + "step": 10693 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013861872732300038, + "loss": 0.6741, + "step": 10694 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013860857906737464, + "loss": 0.7068, + "step": 10695 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013859843034445644, + "loss": 0.6642, + "step": 10696 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013858828115436849, + "loss": 0.6156, + "step": 10697 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013857813149723374, + "loss": 0.6671, + "step": 10698 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013856798137317503, + "loss": 0.6524, + "step": 10699 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013855783078231513, + "loss": 0.6618, + "step": 10700 + }, + { + "epoch": 0.37, + "learning_rate": 0.000138547679724777, + "loss": 0.5977, + "step": 10701 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013853752820068338, + "loss": 0.7023, + "step": 10702 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013852737621015726, + "loss": 0.6678, + "step": 10703 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013851722375332146, + "loss": 0.704, + "step": 10704 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001385070708302988, + "loss": 0.5976, + "step": 10705 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001384969174412123, + "loss": 0.6237, + "step": 10706 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001384867635861847, + "loss": 0.7033, + "step": 10707 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013847660926533903, + "loss": 0.6126, + "step": 10708 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013846645447879809, + "loss": 0.7251, + "step": 10709 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013845629922668482, + "loss": 0.6179, + "step": 10710 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013844614350912217, + "loss": 0.6076, + "step": 10711 + }, + { + "epoch": 0.37, + "learning_rate": 0.000138435987326233, + "loss": 0.5565, + "step": 10712 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013842583067814025, + "loss": 0.6944, + "step": 10713 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001384156735649669, + "loss": 0.6738, + "step": 10714 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001384055159868358, + "loss": 0.6772, + "step": 10715 + }, + { + "epoch": 0.37, + "learning_rate": 0.00013839535794386994, + "loss": 0.6315, + "step": 10716 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013838519943619226, + "loss": 0.7298, + "step": 10717 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013837504046392574, + "loss": 0.6046, + "step": 10718 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001383648810271933, + "loss": 0.6918, + "step": 10719 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001383547211261179, + "loss": 0.6589, + "step": 10720 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001383445607608225, + "loss": 0.5979, + "step": 10721 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013833439993143014, + "loss": 0.5757, + "step": 10722 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001383242386380637, + "loss": 0.7073, + "step": 10723 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013831407688084628, + "loss": 0.7813, + "step": 10724 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001383039146599008, + "loss": 0.6039, + "step": 10725 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013829375197535023, + "loss": 0.6376, + "step": 10726 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013828358882731764, + "loss": 0.6685, + "step": 10727 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013827342521592598, + "loss": 0.6277, + "step": 10728 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013826326114129835, + "loss": 0.5895, + "step": 10729 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013825309660355767, + "loss": 0.6916, + "step": 10730 + }, + { + "epoch": 0.38, + "learning_rate": 0.000138242931602827, + "loss": 0.5499, + "step": 10731 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001382327661392294, + "loss": 0.6165, + "step": 10732 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013822260021288787, + "loss": 0.6807, + "step": 10733 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013821243382392548, + "loss": 0.6667, + "step": 10734 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013820226697246524, + "loss": 0.7005, + "step": 10735 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013819209965863023, + "loss": 0.6124, + "step": 10736 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001381819318825435, + "loss": 0.5554, + "step": 10737 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013817176364432814, + "loss": 0.6546, + "step": 10738 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013816159494410717, + "loss": 0.7382, + "step": 10739 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013815142578200372, + "loss": 0.6735, + "step": 10740 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001381412561581408, + "loss": 0.7037, + "step": 10741 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013813108607264155, + "loss": 0.6938, + "step": 10742 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013812091552562906, + "loss": 0.6935, + "step": 10743 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013811074451722642, + "loss": 0.7539, + "step": 10744 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013810057304755675, + "loss": 0.7056, + "step": 10745 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013809040111674312, + "loss": 0.6994, + "step": 10746 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013808022872490868, + "loss": 0.6335, + "step": 10747 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001380700558721765, + "loss": 0.6717, + "step": 10748 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013805988255866976, + "loss": 0.7022, + "step": 10749 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013804970878451158, + "loss": 0.6511, + "step": 10750 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013803953454982504, + "loss": 0.7224, + "step": 10751 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001380293598547334, + "loss": 0.6319, + "step": 10752 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013801918469935967, + "loss": 0.6813, + "step": 10753 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013800900908382711, + "loss": 0.6875, + "step": 10754 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013799883300825885, + "loss": 0.6607, + "step": 10755 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013798865647277801, + "loss": 0.4941, + "step": 10756 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013797847947750783, + "loss": 0.6494, + "step": 10757 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001379683020225714, + "loss": 0.6085, + "step": 10758 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013795812410809198, + "loss": 0.6874, + "step": 10759 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013794794573419273, + "loss": 0.6396, + "step": 10760 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001379377669009968, + "loss": 0.809, + "step": 10761 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013792758760862748, + "loss": 0.6165, + "step": 10762 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001379174078572079, + "loss": 0.6588, + "step": 10763 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013790722764686132, + "loss": 0.757, + "step": 10764 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013789704697771086, + "loss": 0.6914, + "step": 10765 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013788686584987985, + "loss": 0.5749, + "step": 10766 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013787668426349146, + "loss": 0.5882, + "step": 10767 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001378665022186689, + "loss": 0.6946, + "step": 10768 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001378563197155355, + "loss": 0.6365, + "step": 10769 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013784613675421438, + "loss": 0.7456, + "step": 10770 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013783595333482886, + "loss": 0.6699, + "step": 10771 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001378257694575022, + "loss": 0.7494, + "step": 10772 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001378155851223576, + "loss": 0.7356, + "step": 10773 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001378054003295184, + "loss": 0.693, + "step": 10774 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013779521507910784, + "loss": 0.4936, + "step": 10775 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013778502937124916, + "loss": 0.7314, + "step": 10776 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001377748432060657, + "loss": 0.6423, + "step": 10777 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001377646565836807, + "loss": 0.6756, + "step": 10778 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013775446950421746, + "loss": 0.6578, + "step": 10779 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001377442819677993, + "loss": 0.7308, + "step": 10780 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013773409397454948, + "loss": 0.7069, + "step": 10781 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013772390552459137, + "loss": 0.63, + "step": 10782 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013771371661804827, + "loss": 0.6438, + "step": 10783 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013770352725504345, + "loss": 0.6319, + "step": 10784 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013769333743570027, + "loss": 0.6758, + "step": 10785 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013768314716014205, + "loss": 0.6904, + "step": 10786 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013767295642849216, + "loss": 0.6036, + "step": 10787 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001376627652408739, + "loss": 0.5758, + "step": 10788 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013765257359741063, + "loss": 0.6767, + "step": 10789 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013764238149822572, + "loss": 0.5813, + "step": 10790 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013763218894344252, + "loss": 0.5672, + "step": 10791 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013762199593318435, + "loss": 0.6048, + "step": 10792 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013761180246757467, + "loss": 0.6912, + "step": 10793 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001376016085467368, + "loss": 0.6611, + "step": 10794 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013759141417079407, + "loss": 0.5468, + "step": 10795 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013758121933986998, + "loss": 0.7432, + "step": 10796 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001375710240540878, + "loss": 0.6864, + "step": 10797 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013756082831357106, + "loss": 0.662, + "step": 10798 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013755063211844305, + "loss": 0.6628, + "step": 10799 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001375404354688272, + "loss": 0.5342, + "step": 10800 + }, + { + "epoch": 0.38, + "eval_loss": 0.6511815190315247, + "eval_runtime": 853.6038, + "eval_samples_per_second": 28.186, + "eval_steps_per_second": 14.093, + "step": 10800 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013753023836484698, + "loss": 0.5743, + "step": 10801 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013752004080662574, + "loss": 0.6017, + "step": 10802 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013750984279428693, + "loss": 0.5459, + "step": 10803 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013749964432795402, + "loss": 0.7155, + "step": 10804 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001374894454077504, + "loss": 0.5783, + "step": 10805 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001374792460337995, + "loss": 0.6034, + "step": 10806 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013746904620622478, + "loss": 0.7507, + "step": 10807 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013745884592514975, + "loss": 0.59, + "step": 10808 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013744864519069777, + "loss": 0.6245, + "step": 10809 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013743844400299237, + "loss": 0.6181, + "step": 10810 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013742824236215702, + "loss": 0.6026, + "step": 10811 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013741804026831512, + "loss": 0.8695, + "step": 10812 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013740783772159024, + "loss": 0.561, + "step": 10813 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013739763472210583, + "loss": 0.6328, + "step": 10814 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013738743126998535, + "loss": 0.6862, + "step": 10815 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013737722736535234, + "loss": 0.6893, + "step": 10816 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013736702300833027, + "loss": 0.7435, + "step": 10817 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001373568181990427, + "loss": 0.6686, + "step": 10818 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013734661293761307, + "loss": 0.5861, + "step": 10819 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013733640722416493, + "loss": 0.6506, + "step": 10820 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013732620105882178, + "loss": 0.6896, + "step": 10821 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013731599444170723, + "loss": 0.746, + "step": 10822 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001373057873729447, + "loss": 0.7014, + "step": 10823 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001372955798526578, + "loss": 0.7084, + "step": 10824 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001372853718809701, + "loss": 0.5948, + "step": 10825 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001372751634580051, + "loss": 0.6555, + "step": 10826 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013726495458388633, + "loss": 0.5797, + "step": 10827 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001372547452587374, + "loss": 0.6679, + "step": 10828 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013724453548268187, + "loss": 0.6849, + "step": 10829 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013723432525584333, + "loss": 0.5753, + "step": 10830 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013722411457834532, + "loss": 0.6299, + "step": 10831 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013721390345031143, + "loss": 0.6814, + "step": 10832 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013720369187186527, + "loss": 0.5771, + "step": 10833 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013719347984313043, + "loss": 0.6336, + "step": 10834 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013718326736423048, + "loss": 0.6808, + "step": 10835 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013717305443528908, + "loss": 0.646, + "step": 10836 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013716284105642977, + "loss": 0.5791, + "step": 10837 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001371526272277762, + "loss": 0.5944, + "step": 10838 + }, + { + "epoch": 0.38, + "learning_rate": 0.000137142412949452, + "loss": 0.6615, + "step": 10839 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013713219822158082, + "loss": 0.6157, + "step": 10840 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013712198304428622, + "loss": 0.6615, + "step": 10841 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013711176741769193, + "loss": 0.6259, + "step": 10842 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001371015513419215, + "loss": 0.6377, + "step": 10843 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013709133481709863, + "loss": 0.6841, + "step": 10844 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013708111784334698, + "loss": 0.638, + "step": 10845 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013707090042079022, + "loss": 0.6424, + "step": 10846 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013706068254955195, + "loss": 0.6895, + "step": 10847 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013705046422975587, + "loss": 0.6726, + "step": 10848 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013704024546152573, + "loss": 0.6414, + "step": 10849 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013703002624498506, + "loss": 0.6968, + "step": 10850 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001370198065802577, + "loss": 0.6097, + "step": 10851 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013700958646746728, + "loss": 0.6477, + "step": 10852 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013699936590673745, + "loss": 0.6646, + "step": 10853 + }, + { + "epoch": 0.38, + "learning_rate": 0.000136989144898192, + "loss": 0.719, + "step": 10854 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001369789234419546, + "loss": 0.6055, + "step": 10855 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013696870153814892, + "loss": 0.6715, + "step": 10856 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013695847918689872, + "loss": 0.7469, + "step": 10857 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013694825638832774, + "loss": 0.5763, + "step": 10858 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013693803314255968, + "loss": 0.7482, + "step": 10859 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013692780944971834, + "loss": 0.6657, + "step": 10860 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013691758530992733, + "loss": 0.652, + "step": 10861 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001369073607233105, + "loss": 0.6585, + "step": 10862 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001368971356899916, + "loss": 0.614, + "step": 10863 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013688691021009435, + "loss": 0.6724, + "step": 10864 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013687668428374254, + "loss": 0.64, + "step": 10865 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001368664579110599, + "loss": 0.6112, + "step": 10866 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013685623109217025, + "loss": 0.5538, + "step": 10867 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001368460038271973, + "loss": 0.7234, + "step": 10868 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013683577611626492, + "loss": 0.5732, + "step": 10869 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013682554795949687, + "loss": 0.6226, + "step": 10870 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001368153193570169, + "loss": 0.7298, + "step": 10871 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013680509030894887, + "loss": 0.6987, + "step": 10872 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013679486081541654, + "loss": 0.6565, + "step": 10873 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013678463087654375, + "loss": 0.7317, + "step": 10874 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013677440049245432, + "loss": 0.6609, + "step": 10875 + }, + { + "epoch": 0.38, + "learning_rate": 0.000136764169663272, + "loss": 0.8067, + "step": 10876 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013675393838912073, + "loss": 0.5844, + "step": 10877 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013674370667012432, + "loss": 0.6765, + "step": 10878 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001367334745064065, + "loss": 0.6911, + "step": 10879 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013672324189809124, + "loss": 0.7735, + "step": 10880 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001367130088453023, + "loss": 0.6432, + "step": 10881 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013670277534816357, + "loss": 0.6019, + "step": 10882 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013669254140679895, + "loss": 0.6713, + "step": 10883 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013668230702133224, + "loss": 0.7212, + "step": 10884 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013667207219188735, + "loss": 0.6273, + "step": 10885 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013666183691858814, + "loss": 0.7508, + "step": 10886 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013665160120155848, + "loss": 0.6594, + "step": 10887 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001366413650409223, + "loss": 0.6762, + "step": 10888 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013663112843680342, + "loss": 0.6649, + "step": 10889 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001366208913893258, + "loss": 0.6901, + "step": 10890 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013661065389861335, + "loss": 0.6636, + "step": 10891 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001366004159647899, + "loss": 0.7089, + "step": 10892 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013659017758797942, + "loss": 0.6974, + "step": 10893 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001365799387683058, + "loss": 0.7031, + "step": 10894 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013656969950589303, + "loss": 0.7077, + "step": 10895 + }, + { + "epoch": 0.38, + "learning_rate": 0.000136559459800865, + "loss": 0.6231, + "step": 10896 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013654921965334558, + "loss": 0.6192, + "step": 10897 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013653897906345882, + "loss": 0.5696, + "step": 10898 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001365287380313286, + "loss": 0.6497, + "step": 10899 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013651849655707887, + "loss": 0.6454, + "step": 10900 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001365082546408336, + "loss": 0.5663, + "step": 10901 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013649801228271673, + "loss": 0.6258, + "step": 10902 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013648776948285232, + "loss": 0.5775, + "step": 10903 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013647752624136418, + "loss": 0.7235, + "step": 10904 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013646728255837642, + "loss": 0.6446, + "step": 10905 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013645703843401298, + "loss": 0.7375, + "step": 10906 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013644679386839786, + "loss": 0.5939, + "step": 10907 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013643654886165502, + "loss": 0.6708, + "step": 10908 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013642630341390848, + "loss": 0.6056, + "step": 10909 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013641605752528224, + "loss": 0.8037, + "step": 10910 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013640581119590033, + "loss": 0.9612, + "step": 10911 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001363955644258867, + "loss": 0.6012, + "step": 10912 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013638531721536548, + "loss": 0.5524, + "step": 10913 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001363750695644606, + "loss": 0.6157, + "step": 10914 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013636482147329614, + "loss": 0.5995, + "step": 10915 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001363545729419961, + "loss": 0.6567, + "step": 10916 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013634432397068456, + "loss": 0.7566, + "step": 10917 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013633407455948554, + "loss": 0.8045, + "step": 10918 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013632382470852306, + "loss": 0.5734, + "step": 10919 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013631357441792126, + "loss": 0.6211, + "step": 10920 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013630332368780418, + "loss": 0.5544, + "step": 10921 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013629307251829584, + "loss": 0.6377, + "step": 10922 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013628282090952037, + "loss": 0.6181, + "step": 10923 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013627256886160178, + "loss": 0.6992, + "step": 10924 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001362623163746642, + "loss": 0.614, + "step": 10925 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013625206344883176, + "loss": 0.69, + "step": 10926 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013624181008422843, + "loss": 0.6654, + "step": 10927 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013623155628097842, + "loss": 0.6381, + "step": 10928 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013622130203920586, + "loss": 0.6497, + "step": 10929 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013621104735903473, + "loss": 0.6798, + "step": 10930 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013620079224058924, + "loss": 0.6646, + "step": 10931 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013619053668399348, + "loss": 0.6734, + "step": 10932 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013618028068937163, + "loss": 0.6316, + "step": 10933 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013617002425684774, + "loss": 0.5408, + "step": 10934 + }, + { + "epoch": 0.38, + "learning_rate": 0.000136159767386546, + "loss": 0.7465, + "step": 10935 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013614951007859054, + "loss": 0.5869, + "step": 10936 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001361392523331055, + "loss": 0.6778, + "step": 10937 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013612899415021504, + "loss": 0.5731, + "step": 10938 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001361187355300433, + "loss": 0.7628, + "step": 10939 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013610847647271447, + "loss": 0.8206, + "step": 10940 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001360982169783527, + "loss": 0.6318, + "step": 10941 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013608795704708222, + "loss": 0.5885, + "step": 10942 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001360776966790271, + "loss": 0.7254, + "step": 10943 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013606743587431163, + "loss": 0.6799, + "step": 10944 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013605717463305994, + "loss": 0.7245, + "step": 10945 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013604691295539625, + "loss": 0.5627, + "step": 10946 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013603665084144475, + "loss": 0.5515, + "step": 10947 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013602638829132962, + "loss": 0.7184, + "step": 10948 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013601612530517512, + "loss": 0.7322, + "step": 10949 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013600586188310546, + "loss": 0.7702, + "step": 10950 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013599559802524483, + "loss": 0.6297, + "step": 10951 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001359853337317175, + "loss": 0.6663, + "step": 10952 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013597506900264766, + "loss": 0.737, + "step": 10953 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013596480383815958, + "loss": 0.6102, + "step": 10954 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013595453823837746, + "loss": 0.6661, + "step": 10955 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013594427220342558, + "loss": 0.5659, + "step": 10956 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001359340057334282, + "loss": 0.6931, + "step": 10957 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013592373882850955, + "loss": 0.6076, + "step": 10958 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013591347148879393, + "loss": 0.8014, + "step": 10959 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001359032037144056, + "loss": 0.586, + "step": 10960 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013589293550546878, + "loss": 0.6807, + "step": 10961 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001358826668621078, + "loss": 0.617, + "step": 10962 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013587239778444695, + "loss": 0.6467, + "step": 10963 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013586212827261052, + "loss": 0.6484, + "step": 10964 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001358518583267228, + "loss": 0.6245, + "step": 10965 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013584158794690805, + "loss": 0.6334, + "step": 10966 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013583131713329065, + "loss": 0.6634, + "step": 10967 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013582104588599485, + "loss": 0.6693, + "step": 10968 + }, + { + "epoch": 0.38, + "learning_rate": 0.000135810774205145, + "loss": 0.6184, + "step": 10969 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013580050209086538, + "loss": 0.7628, + "step": 10970 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013579022954328035, + "loss": 0.6369, + "step": 10971 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013577995656251425, + "loss": 0.6468, + "step": 10972 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013576968314869142, + "loss": 0.6741, + "step": 10973 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013575940930193615, + "loss": 0.64, + "step": 10974 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013574913502237284, + "loss": 0.5764, + "step": 10975 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013573886031012584, + "loss": 0.6445, + "step": 10976 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001357285851653195, + "loss": 0.7284, + "step": 10977 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013571830958807816, + "loss": 0.6241, + "step": 10978 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013570803357852623, + "loss": 0.596, + "step": 10979 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013569775713678805, + "loss": 0.7216, + "step": 10980 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013568748026298802, + "loss": 0.7748, + "step": 10981 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013567720295725052, + "loss": 0.6683, + "step": 10982 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001356669252196999, + "loss": 0.7483, + "step": 10983 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001356566470504606, + "loss": 0.6015, + "step": 10984 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013564636844965705, + "loss": 0.6226, + "step": 10985 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001356360894174136, + "loss": 0.6544, + "step": 10986 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013562580995385467, + "loss": 0.6579, + "step": 10987 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013561553005910466, + "loss": 0.6662, + "step": 10988 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013560524973328805, + "loss": 0.6466, + "step": 10989 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013559496897652923, + "loss": 0.6434, + "step": 10990 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013558468778895262, + "loss": 0.7586, + "step": 10991 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013557440617068266, + "loss": 0.5554, + "step": 10992 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013556412412184382, + "loss": 0.6896, + "step": 10993 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013555384164256048, + "loss": 0.6273, + "step": 10994 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013554355873295719, + "loss": 0.6408, + "step": 10995 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013553327539315833, + "loss": 0.6583, + "step": 10996 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001355229916232884, + "loss": 0.6927, + "step": 10997 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001355127074234719, + "loss": 0.6719, + "step": 10998 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001355024227938332, + "loss": 0.7247, + "step": 10999 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013549213773449682, + "loss": 0.6695, + "step": 11000 + }, + { + "epoch": 0.38, + "eval_loss": 0.6442050933837891, + "eval_runtime": 852.0931, + "eval_samples_per_second": 28.236, + "eval_steps_per_second": 14.118, + "step": 11000 + }, + { + "epoch": 0.38, + "learning_rate": 0.00013548185224558732, + "loss": 0.6086, + "step": 11001 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001354715663272291, + "loss": 0.6735, + "step": 11002 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001354612799795467, + "loss": 0.691, + "step": 11003 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001354509932026646, + "loss": 0.6743, + "step": 11004 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001354407059967073, + "loss": 0.5789, + "step": 11005 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001354304183617993, + "loss": 0.6134, + "step": 11006 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013542013029806517, + "loss": 0.6056, + "step": 11007 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001354098418056294, + "loss": 0.6424, + "step": 11008 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013539955288461645, + "loss": 0.6593, + "step": 11009 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013538926353515095, + "loss": 0.5748, + "step": 11010 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001353789737573574, + "loss": 0.6499, + "step": 11011 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013536868355136029, + "loss": 0.6527, + "step": 11012 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013535839291728424, + "loss": 0.5745, + "step": 11013 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013534810185525378, + "loss": 0.7692, + "step": 11014 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013533781036539344, + "loss": 0.7237, + "step": 11015 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001353275184478278, + "loss": 0.597, + "step": 11016 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013531722610268142, + "loss": 0.644, + "step": 11017 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013530693333007888, + "loss": 0.6905, + "step": 11018 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013529664013014475, + "loss": 0.6512, + "step": 11019 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013528634650300365, + "loss": 0.6617, + "step": 11020 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001352760524487801, + "loss": 0.7171, + "step": 11021 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001352657579675987, + "loss": 0.6487, + "step": 11022 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013525546305958412, + "loss": 0.5423, + "step": 11023 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001352451677248609, + "loss": 0.7198, + "step": 11024 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013523487196355363, + "loss": 0.6688, + "step": 11025 + }, + { + "epoch": 0.39, + "learning_rate": 0.000135224575775787, + "loss": 0.5894, + "step": 11026 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013521427916168553, + "loss": 0.6257, + "step": 11027 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013520398212137395, + "loss": 0.569, + "step": 11028 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013519368465497684, + "loss": 0.733, + "step": 11029 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001351833867626188, + "loss": 0.6805, + "step": 11030 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001351730884444245, + "loss": 0.6974, + "step": 11031 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013516278970051858, + "loss": 0.6697, + "step": 11032 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013515249053102572, + "loss": 0.6966, + "step": 11033 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001351421909360705, + "loss": 0.6394, + "step": 11034 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013513189091577768, + "loss": 0.5858, + "step": 11035 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013512159047027184, + "loss": 0.5966, + "step": 11036 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013511128959967764, + "loss": 0.7447, + "step": 11037 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013510098830411986, + "loss": 0.6936, + "step": 11038 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013509068658372307, + "loss": 0.5813, + "step": 11039 + }, + { + "epoch": 0.39, + "learning_rate": 0.000135080384438612, + "loss": 0.7598, + "step": 11040 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013507008186891138, + "loss": 0.5955, + "step": 11041 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013505977887474582, + "loss": 0.7338, + "step": 11042 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001350494754562401, + "loss": 0.7513, + "step": 11043 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013503917161351888, + "loss": 0.6046, + "step": 11044 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001350288673467069, + "loss": 0.6042, + "step": 11045 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001350185626559288, + "loss": 0.6375, + "step": 11046 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001350082575413094, + "loss": 0.6923, + "step": 11047 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013499795200297337, + "loss": 0.6033, + "step": 11048 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001349876460410455, + "loss": 0.7349, + "step": 11049 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001349773396556504, + "loss": 0.6357, + "step": 11050 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013496703284691299, + "loss": 0.6083, + "step": 11051 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013495672561495784, + "loss": 0.5898, + "step": 11052 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013494641795990986, + "loss": 0.5945, + "step": 11053 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001349361098818937, + "loss": 0.6284, + "step": 11054 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001349258013810341, + "loss": 0.7007, + "step": 11055 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013491549245745596, + "loss": 0.7467, + "step": 11056 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013490518311128392, + "loss": 0.5883, + "step": 11057 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013489487334264285, + "loss": 0.6393, + "step": 11058 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013488456315165746, + "loss": 0.7139, + "step": 11059 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013487425253845255, + "loss": 0.661, + "step": 11060 + }, + { + "epoch": 0.39, + "learning_rate": 0.000134863941503153, + "loss": 0.5379, + "step": 11061 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013485363004588348, + "loss": 0.6755, + "step": 11062 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013484331816676886, + "loss": 0.5951, + "step": 11063 + }, + { + "epoch": 0.39, + "learning_rate": 0.000134833005865934, + "loss": 0.6275, + "step": 11064 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013482269314350358, + "loss": 0.5795, + "step": 11065 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013481237999960253, + "loss": 0.7113, + "step": 11066 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013480206643435566, + "loss": 0.6449, + "step": 11067 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001347917524478877, + "loss": 0.5849, + "step": 11068 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013478143804032363, + "loss": 0.6934, + "step": 11069 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013477112321178819, + "loss": 0.6747, + "step": 11070 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013476080796240625, + "loss": 0.6908, + "step": 11071 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013475049229230268, + "loss": 0.6524, + "step": 11072 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013474017620160227, + "loss": 0.6145, + "step": 11073 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013472985969042997, + "loss": 0.6347, + "step": 11074 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001347195427589106, + "loss": 0.6016, + "step": 11075 + }, + { + "epoch": 0.39, + "learning_rate": 0.000134709225407169, + "loss": 0.5822, + "step": 11076 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013469890763533008, + "loss": 0.6161, + "step": 11077 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001346885894435187, + "loss": 0.7422, + "step": 11078 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013467827083185976, + "loss": 0.6494, + "step": 11079 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013466795180047816, + "loss": 0.6456, + "step": 11080 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013465763234949874, + "loss": 0.6764, + "step": 11081 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001346473124790465, + "loss": 0.7612, + "step": 11082 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013463699218924623, + "loss": 0.6054, + "step": 11083 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013462667148022293, + "loss": 0.5807, + "step": 11084 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013461635035210144, + "loss": 0.6857, + "step": 11085 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013460602880500675, + "loss": 0.499, + "step": 11086 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013459570683906376, + "loss": 0.6672, + "step": 11087 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013458538445439738, + "loss": 0.6939, + "step": 11088 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013457506165113253, + "loss": 0.6628, + "step": 11089 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013456473842939423, + "loss": 0.7422, + "step": 11090 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013455441478930734, + "loss": 0.5736, + "step": 11091 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013454409073099688, + "loss": 0.5644, + "step": 11092 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013453376625458777, + "loss": 0.6676, + "step": 11093 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013452344136020492, + "loss": 0.5862, + "step": 11094 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001345131160479734, + "loss": 0.7554, + "step": 11095 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013450279031801808, + "loss": 0.6798, + "step": 11096 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013449246417046403, + "loss": 0.6389, + "step": 11097 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013448213760543616, + "loss": 0.6132, + "step": 11098 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001344718106230595, + "loss": 0.7538, + "step": 11099 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013446148322345905, + "loss": 0.6324, + "step": 11100 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001344511554067597, + "loss": 0.6349, + "step": 11101 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013444082717308658, + "loss": 0.5985, + "step": 11102 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013443049852256462, + "loss": 0.5276, + "step": 11103 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013442016945531887, + "loss": 0.6612, + "step": 11104 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013440983997147434, + "loss": 0.6812, + "step": 11105 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013439951007115602, + "loss": 0.6317, + "step": 11106 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013438917975448897, + "loss": 0.6138, + "step": 11107 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013437884902159822, + "loss": 0.675, + "step": 11108 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013436851787260875, + "loss": 0.7025, + "step": 11109 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001343581863076457, + "loss": 0.6827, + "step": 11110 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013434785432683404, + "loss": 0.622, + "step": 11111 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013433752193029886, + "loss": 0.6603, + "step": 11112 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013432718911816522, + "loss": 0.7103, + "step": 11113 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013431685589055813, + "loss": 0.5913, + "step": 11114 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001343065222476027, + "loss": 0.6538, + "step": 11115 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013429618818942398, + "loss": 0.6655, + "step": 11116 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013428585371614706, + "loss": 0.7163, + "step": 11117 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013427551882789704, + "loss": 0.6766, + "step": 11118 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013426518352479898, + "loss": 0.7671, + "step": 11119 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013425484780697796, + "loss": 0.6135, + "step": 11120 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001342445116745591, + "loss": 0.6451, + "step": 11121 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013423417512766752, + "loss": 0.4985, + "step": 11122 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001342238381664283, + "loss": 0.6011, + "step": 11123 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013421350079096653, + "loss": 0.6167, + "step": 11124 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013420316300140738, + "loss": 0.6214, + "step": 11125 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001341928247978759, + "loss": 0.6331, + "step": 11126 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001341824861804973, + "loss": 0.6655, + "step": 11127 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013417214714939667, + "loss": 0.7573, + "step": 11128 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013416180770469912, + "loss": 0.6086, + "step": 11129 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013415146784652985, + "loss": 0.6787, + "step": 11130 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013414112757501398, + "loss": 0.6613, + "step": 11131 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013413078689027662, + "loss": 0.6941, + "step": 11132 + }, + { + "epoch": 0.39, + "learning_rate": 0.000134120445792443, + "loss": 0.6062, + "step": 11133 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001341101042816382, + "loss": 0.6193, + "step": 11134 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013409976235798752, + "loss": 0.6729, + "step": 11135 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013408942002161598, + "loss": 0.5718, + "step": 11136 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013407907727264884, + "loss": 0.6674, + "step": 11137 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013406873411121126, + "loss": 0.6748, + "step": 11138 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001340583905374284, + "loss": 0.5862, + "step": 11139 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013404804655142556, + "loss": 0.6316, + "step": 11140 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001340377021533278, + "loss": 0.5865, + "step": 11141 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001340273573432604, + "loss": 0.5353, + "step": 11142 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013401701212134855, + "loss": 0.6597, + "step": 11143 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013400666648771744, + "loss": 0.6646, + "step": 11144 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001339963204424923, + "loss": 0.5856, + "step": 11145 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013398597398579838, + "loss": 0.6321, + "step": 11146 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001339756271177609, + "loss": 0.5508, + "step": 11147 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013396527983850504, + "loss": 0.6509, + "step": 11148 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013395493214815612, + "loss": 0.6681, + "step": 11149 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013394458404683928, + "loss": 0.7149, + "step": 11150 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013393423553467986, + "loss": 0.6444, + "step": 11151 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013392388661180303, + "loss": 0.7019, + "step": 11152 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013391353727833412, + "loss": 0.6274, + "step": 11153 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013390318753439835, + "loss": 0.6751, + "step": 11154 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013389283738012098, + "loss": 0.6218, + "step": 11155 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013388248681562735, + "loss": 0.6524, + "step": 11156 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013387213584104265, + "loss": 0.7107, + "step": 11157 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013386178445649218, + "loss": 0.6832, + "step": 11158 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013385143266210129, + "loss": 0.6858, + "step": 11159 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013384108045799516, + "loss": 0.6295, + "step": 11160 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013383072784429917, + "loss": 0.6686, + "step": 11161 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013382037482113863, + "loss": 0.6077, + "step": 11162 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001338100213886388, + "loss": 0.5816, + "step": 11163 + }, + { + "epoch": 0.39, + "learning_rate": 0.000133799667546925, + "loss": 0.7054, + "step": 11164 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013378931329612254, + "loss": 0.6247, + "step": 11165 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013377895863635677, + "loss": 0.5402, + "step": 11166 + }, + { + "epoch": 0.39, + "learning_rate": 0.000133768603567753, + "loss": 0.7166, + "step": 11167 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013375824809043658, + "loss": 0.7161, + "step": 11168 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001337478922045328, + "loss": 0.621, + "step": 11169 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013373753591016706, + "loss": 0.6304, + "step": 11170 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013372717920746464, + "loss": 0.6366, + "step": 11171 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013371682209655091, + "loss": 0.5521, + "step": 11172 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013370646457755127, + "loss": 0.6921, + "step": 11173 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013369610665059104, + "loss": 0.5471, + "step": 11174 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001336857483157956, + "loss": 0.6324, + "step": 11175 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001336753895732903, + "loss": 0.6651, + "step": 11176 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013366503042320057, + "loss": 0.5856, + "step": 11177 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013365467086565172, + "loss": 0.6213, + "step": 11178 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013364431090076917, + "loss": 0.6984, + "step": 11179 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013363395052867828, + "loss": 0.5836, + "step": 11180 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001336235897495045, + "loss": 0.592, + "step": 11181 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001336132285633732, + "loss": 0.716, + "step": 11182 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013360286697040977, + "loss": 0.7155, + "step": 11183 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013359250497073968, + "loss": 0.5978, + "step": 11184 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013358214256448827, + "loss": 0.7168, + "step": 11185 + }, + { + "epoch": 0.39, + "learning_rate": 0.000133571779751781, + "loss": 0.6418, + "step": 11186 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013356141653274328, + "loss": 0.5901, + "step": 11187 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013355105290750055, + "loss": 0.6301, + "step": 11188 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013354068887617824, + "loss": 0.5892, + "step": 11189 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013353032443890175, + "loss": 0.5796, + "step": 11190 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001335199595957966, + "loss": 0.6551, + "step": 11191 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001335095943469882, + "loss": 0.5785, + "step": 11192 + }, + { + "epoch": 0.39, + "learning_rate": 0.000133499228692602, + "loss": 0.5931, + "step": 11193 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013348886263276345, + "loss": 0.6994, + "step": 11194 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013347849616759805, + "loss": 0.585, + "step": 11195 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013346812929723124, + "loss": 0.4925, + "step": 11196 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013345776202178852, + "loss": 0.6686, + "step": 11197 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013344739434139534, + "loss": 0.579, + "step": 11198 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013343702625617717, + "loss": 0.5839, + "step": 11199 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013342665776625956, + "loss": 0.7242, + "step": 11200 + }, + { + "epoch": 0.39, + "eval_loss": 0.6374056339263916, + "eval_runtime": 852.285, + "eval_samples_per_second": 28.23, + "eval_steps_per_second": 14.115, + "step": 11200 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013341628887176792, + "loss": 0.7801, + "step": 11201 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001334059195728278, + "loss": 0.6669, + "step": 11202 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013339554986956472, + "loss": 0.6118, + "step": 11203 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013338517976210415, + "loss": 0.644, + "step": 11204 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013337480925057165, + "loss": 0.6646, + "step": 11205 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013336443833509266, + "loss": 0.6458, + "step": 11206 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001333540670157928, + "loss": 0.6919, + "step": 11207 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013334369529279747, + "loss": 0.7153, + "step": 11208 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013333332316623232, + "loss": 0.6403, + "step": 11209 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013332295063622285, + "loss": 0.6941, + "step": 11210 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001333125777028946, + "loss": 0.6679, + "step": 11211 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001333022043663731, + "loss": 0.686, + "step": 11212 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013329183062678394, + "loss": 0.6407, + "step": 11213 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013328145648425262, + "loss": 0.6012, + "step": 11214 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013327108193890474, + "loss": 0.6209, + "step": 11215 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013326070699086587, + "loss": 0.5179, + "step": 11216 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013325033164026157, + "loss": 0.623, + "step": 11217 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013323995588721742, + "loss": 0.6343, + "step": 11218 + }, + { + "epoch": 0.39, + "learning_rate": 0.000133229579731859, + "loss": 0.6329, + "step": 11219 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001332192031743119, + "loss": 0.5912, + "step": 11220 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013320882621470166, + "loss": 0.7006, + "step": 11221 + }, + { + "epoch": 0.39, + "learning_rate": 0.000133198448853154, + "loss": 0.7227, + "step": 11222 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001331880710897944, + "loss": 0.5645, + "step": 11223 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013317769292474853, + "loss": 0.6439, + "step": 11224 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013316731435814196, + "loss": 0.6271, + "step": 11225 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013315693539010033, + "loss": 0.7359, + "step": 11226 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013314655602074925, + "loss": 0.6651, + "step": 11227 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013313617625021438, + "loss": 0.5168, + "step": 11228 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001331257960786213, + "loss": 0.6951, + "step": 11229 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013311541550609565, + "loss": 0.5918, + "step": 11230 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001331050345327631, + "loss": 0.6733, + "step": 11231 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013309465315874928, + "loss": 0.6109, + "step": 11232 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013308427138417983, + "loss": 0.6867, + "step": 11233 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001330738892091804, + "loss": 0.6791, + "step": 11234 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001330635066338767, + "loss": 0.5694, + "step": 11235 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013305312365839432, + "loss": 0.7648, + "step": 11236 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013304274028285896, + "loss": 0.693, + "step": 11237 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013303235650739633, + "loss": 0.5712, + "step": 11238 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013302197233213203, + "loss": 0.657, + "step": 11239 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001330115877571918, + "loss": 0.5694, + "step": 11240 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013300120278270133, + "loss": 0.7009, + "step": 11241 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001329908174087863, + "loss": 0.5963, + "step": 11242 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013298043163557238, + "loss": 0.6046, + "step": 11243 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001329700454631853, + "loss": 0.68, + "step": 11244 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001329596588917508, + "loss": 0.6677, + "step": 11245 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013294927192139454, + "loss": 0.7795, + "step": 11246 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013293888455224225, + "loss": 0.6129, + "step": 11247 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013292849678441968, + "loss": 0.7453, + "step": 11248 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001329181086180525, + "loss": 0.7247, + "step": 11249 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013290772005326648, + "loss": 0.5656, + "step": 11250 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013289733109018737, + "loss": 0.6698, + "step": 11251 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013288694172894087, + "loss": 0.6365, + "step": 11252 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001328765519696528, + "loss": 0.5995, + "step": 11253 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001328661618124488, + "loss": 0.6196, + "step": 11254 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013285577125745469, + "loss": 0.674, + "step": 11255 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013284538030479626, + "loss": 0.5887, + "step": 11256 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001328349889545992, + "loss": 0.6918, + "step": 11257 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013282459720698935, + "loss": 0.6421, + "step": 11258 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013281420506209242, + "loss": 0.6473, + "step": 11259 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013280381252003427, + "loss": 0.6182, + "step": 11260 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013279341958094063, + "loss": 0.5741, + "step": 11261 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013278302624493725, + "loss": 0.5426, + "step": 11262 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013277263251215002, + "loss": 0.7047, + "step": 11263 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001327622383827047, + "loss": 0.6088, + "step": 11264 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013275184385672705, + "loss": 0.6454, + "step": 11265 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013274144893434293, + "loss": 0.6904, + "step": 11266 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013273105361567811, + "loss": 0.7282, + "step": 11267 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013272065790085846, + "loss": 0.6071, + "step": 11268 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013271026179000978, + "loss": 0.635, + "step": 11269 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001326998652832579, + "loss": 0.6295, + "step": 11270 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013268946838072861, + "loss": 0.6634, + "step": 11271 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001326790710825478, + "loss": 0.5732, + "step": 11272 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001326686733888413, + "loss": 0.5911, + "step": 11273 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013265827529973496, + "loss": 0.6109, + "step": 11274 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013264787681535462, + "loss": 0.6665, + "step": 11275 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013263747793582615, + "loss": 0.7301, + "step": 11276 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001326270786612754, + "loss": 0.7024, + "step": 11277 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001326166789918282, + "loss": 0.6324, + "step": 11278 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013260627892761048, + "loss": 0.7911, + "step": 11279 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001325958784687481, + "loss": 0.5941, + "step": 11280 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013258547761536694, + "loss": 0.6864, + "step": 11281 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001325750763675929, + "loss": 0.7167, + "step": 11282 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001325646747255518, + "loss": 0.6585, + "step": 11283 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001325542726893696, + "loss": 0.6754, + "step": 11284 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013254387025917217, + "loss": 0.6961, + "step": 11285 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013253346743508546, + "loss": 0.595, + "step": 11286 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013252306421723532, + "loss": 0.6587, + "step": 11287 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001325126606057477, + "loss": 0.6662, + "step": 11288 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013250225660074852, + "loss": 0.6143, + "step": 11289 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013249185220236365, + "loss": 0.7721, + "step": 11290 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001324814474107191, + "loss": 0.6494, + "step": 11291 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013247104222594076, + "loss": 0.7284, + "step": 11292 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013246063664815454, + "loss": 0.5996, + "step": 11293 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001324502306774864, + "loss": 0.6436, + "step": 11294 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013243982431406233, + "loss": 0.618, + "step": 11295 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013242941755800823, + "loss": 0.7047, + "step": 11296 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001324190104094501, + "loss": 0.7427, + "step": 11297 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013240860286851386, + "loss": 0.5826, + "step": 11298 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001323981949353255, + "loss": 0.6126, + "step": 11299 + }, + { + "epoch": 0.4, + "learning_rate": 0.000132387786610011, + "loss": 0.7227, + "step": 11300 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013237737789269628, + "loss": 0.5737, + "step": 11301 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001323669687835074, + "loss": 0.5828, + "step": 11302 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013235655928257027, + "loss": 0.6262, + "step": 11303 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013234614939001092, + "loss": 0.5518, + "step": 11304 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013233573910595534, + "loss": 0.691, + "step": 11305 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013232532843052955, + "loss": 0.6065, + "step": 11306 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001323149173638595, + "loss": 0.7285, + "step": 11307 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013230450590607124, + "loss": 0.6789, + "step": 11308 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001322940940572908, + "loss": 0.6037, + "step": 11309 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013228368181764414, + "loss": 0.6181, + "step": 11310 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013227326918725728, + "loss": 0.6232, + "step": 11311 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013226285616625634, + "loss": 0.7693, + "step": 11312 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013225244275476728, + "loss": 0.5949, + "step": 11313 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013224202895291613, + "loss": 0.665, + "step": 11314 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013223161476082898, + "loss": 0.6703, + "step": 11315 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013222120017863183, + "loss": 0.6821, + "step": 11316 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013221078520645076, + "loss": 0.7087, + "step": 11317 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001322003698444118, + "loss": 0.533, + "step": 11318 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013218995409264105, + "loss": 0.5971, + "step": 11319 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013217953795126457, + "loss": 0.5416, + "step": 11320 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013216912142040836, + "loss": 0.7266, + "step": 11321 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013215870450019858, + "loss": 0.6345, + "step": 11322 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013214828719076125, + "loss": 0.5775, + "step": 11323 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001321378694922225, + "loss": 0.6681, + "step": 11324 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001321274514047084, + "loss": 0.6622, + "step": 11325 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013211703292834504, + "loss": 0.6531, + "step": 11326 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013210661406325852, + "loss": 0.6228, + "step": 11327 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013209619480957497, + "loss": 0.705, + "step": 11328 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001320857751674204, + "loss": 0.6245, + "step": 11329 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013207535513692106, + "loss": 0.6626, + "step": 11330 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013206493471820297, + "loss": 0.5634, + "step": 11331 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001320545139113923, + "loss": 0.6656, + "step": 11332 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013204409271661515, + "loss": 0.7024, + "step": 11333 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013203367113399765, + "loss": 0.6158, + "step": 11334 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013202324916366598, + "loss": 0.6899, + "step": 11335 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001320128268057462, + "loss": 0.6332, + "step": 11336 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013200240406036455, + "loss": 0.7467, + "step": 11337 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013199198092764714, + "loss": 0.6645, + "step": 11338 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013198155740772006, + "loss": 0.6823, + "step": 11339 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013197113350070955, + "loss": 0.6101, + "step": 11340 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013196070920674176, + "loss": 0.5912, + "step": 11341 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013195028452594285, + "loss": 0.8002, + "step": 11342 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013193985945843899, + "loss": 0.7414, + "step": 11343 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013192943400435636, + "loss": 0.7201, + "step": 11344 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013191900816382114, + "loss": 0.6733, + "step": 11345 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013190858193695953, + "loss": 0.5808, + "step": 11346 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013189815532389768, + "loss": 0.6601, + "step": 11347 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013188772832476188, + "loss": 0.7691, + "step": 11348 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001318773009396782, + "loss": 0.7604, + "step": 11349 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013186687316877298, + "loss": 0.6013, + "step": 11350 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013185644501217234, + "loss": 0.6249, + "step": 11351 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013184601647000252, + "loss": 0.5621, + "step": 11352 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013183558754238975, + "loss": 0.6838, + "step": 11353 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013182515822946023, + "loss": 0.5586, + "step": 11354 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013181472853134024, + "loss": 0.6896, + "step": 11355 + }, + { + "epoch": 0.4, + "learning_rate": 0.000131804298448156, + "loss": 0.6683, + "step": 11356 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013179386798003366, + "loss": 0.637, + "step": 11357 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013178343712709958, + "loss": 0.6491, + "step": 11358 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013177300588947994, + "loss": 0.7019, + "step": 11359 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013176257426730106, + "loss": 0.5581, + "step": 11360 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001317521422606891, + "loss": 0.6537, + "step": 11361 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013174170986977039, + "loss": 0.5318, + "step": 11362 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001317312770946712, + "loss": 0.697, + "step": 11363 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001317208439355178, + "loss": 0.6295, + "step": 11364 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001317104103924364, + "loss": 0.6477, + "step": 11365 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013169997646555334, + "loss": 0.5782, + "step": 11366 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013168954215499488, + "loss": 0.689, + "step": 11367 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013167910746088735, + "loss": 0.5647, + "step": 11368 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013166867238335704, + "loss": 0.7875, + "step": 11369 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001316582369225302, + "loss": 0.6251, + "step": 11370 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001316478010785332, + "loss": 0.6394, + "step": 11371 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013163736485149224, + "loss": 0.791, + "step": 11372 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013162692824153374, + "loss": 0.5917, + "step": 11373 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013161649124878398, + "loss": 0.5618, + "step": 11374 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001316060538733693, + "loss": 0.5927, + "step": 11375 + }, + { + "epoch": 0.4, + "learning_rate": 0.000131595616115416, + "loss": 0.6097, + "step": 11376 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013158517797505042, + "loss": 0.6631, + "step": 11377 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013157473945239891, + "loss": 0.6553, + "step": 11378 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001315643005475878, + "loss": 0.6839, + "step": 11379 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001315538612607434, + "loss": 0.6144, + "step": 11380 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013154342159199214, + "loss": 0.696, + "step": 11381 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013153298154146027, + "loss": 0.6623, + "step": 11382 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013152254110927427, + "loss": 0.5647, + "step": 11383 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013151210029556043, + "loss": 0.6192, + "step": 11384 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001315016591004451, + "loss": 0.5826, + "step": 11385 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013149121752405472, + "loss": 0.638, + "step": 11386 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013148077556651564, + "loss": 0.6684, + "step": 11387 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013147033322795422, + "loss": 0.6095, + "step": 11388 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013145989050849686, + "loss": 0.5903, + "step": 11389 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013144944740826995, + "loss": 0.6333, + "step": 11390 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013143900392739992, + "loss": 0.6461, + "step": 11391 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001314285600660131, + "loss": 0.6333, + "step": 11392 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013141811582423598, + "loss": 0.6614, + "step": 11393 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001314076712021949, + "loss": 0.5388, + "step": 11394 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013139722620001632, + "loss": 0.5171, + "step": 11395 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013138678081782662, + "loss": 0.6908, + "step": 11396 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013137633505575226, + "loss": 0.6191, + "step": 11397 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013136588891391965, + "loss": 0.5424, + "step": 11398 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013135544239245523, + "loss": 0.6873, + "step": 11399 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013134499549148542, + "loss": 0.6046, + "step": 11400 + }, + { + "epoch": 0.4, + "eval_loss": 0.631673276424408, + "eval_runtime": 853.1984, + "eval_samples_per_second": 28.2, + "eval_steps_per_second": 14.1, + "step": 11400 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001313345482111367, + "loss": 0.5184, + "step": 11401 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013132410055153551, + "loss": 0.6168, + "step": 11402 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013131365251280825, + "loss": 0.6808, + "step": 11403 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013130320409508142, + "loss": 0.7064, + "step": 11404 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013129275529848145, + "loss": 0.6126, + "step": 11405 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013128230612313488, + "loss": 0.8312, + "step": 11406 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001312718565691681, + "loss": 0.5802, + "step": 11407 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001312614066367076, + "loss": 0.5865, + "step": 11408 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013125095632587991, + "loss": 0.6936, + "step": 11409 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013124050563681142, + "loss": 0.6424, + "step": 11410 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013123005456962874, + "loss": 0.6347, + "step": 11411 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013121960312445827, + "loss": 0.6711, + "step": 11412 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001312091513014265, + "loss": 0.5502, + "step": 11413 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013119869910066, + "loss": 0.6172, + "step": 11414 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013118824652228524, + "loss": 0.6488, + "step": 11415 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013117779356642872, + "loss": 0.7205, + "step": 11416 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013116734023321697, + "loss": 0.7244, + "step": 11417 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001311568865227765, + "loss": 0.6659, + "step": 11418 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013114643243523387, + "loss": 0.593, + "step": 11419 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013113597797071558, + "loss": 0.7032, + "step": 11420 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013112552312934814, + "loss": 0.6631, + "step": 11421 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001311150679112581, + "loss": 0.6642, + "step": 11422 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013110461231657206, + "loss": 0.6784, + "step": 11423 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013109415634541651, + "loss": 0.5878, + "step": 11424 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013108369999791802, + "loss": 0.6259, + "step": 11425 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013107324327420313, + "loss": 0.6255, + "step": 11426 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013106278617439844, + "loss": 0.6287, + "step": 11427 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013105232869863048, + "loss": 0.5817, + "step": 11428 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013104187084702585, + "loss": 0.693, + "step": 11429 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013103141261971106, + "loss": 0.499, + "step": 11430 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013102095401681276, + "loss": 0.6957, + "step": 11431 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013101049503845753, + "loss": 0.6315, + "step": 11432 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001310000356847719, + "loss": 0.5844, + "step": 11433 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013098957595588252, + "loss": 0.583, + "step": 11434 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013097911585191599, + "loss": 0.692, + "step": 11435 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013096865537299887, + "loss": 0.6532, + "step": 11436 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001309581945192578, + "loss": 0.7083, + "step": 11437 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013094773329081936, + "loss": 0.5713, + "step": 11438 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013093727168781019, + "loss": 0.596, + "step": 11439 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001309268097103569, + "loss": 0.725, + "step": 11440 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001309163473585861, + "loss": 0.7261, + "step": 11441 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013090588463262449, + "loss": 0.6321, + "step": 11442 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001308954215325986, + "loss": 0.612, + "step": 11443 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013088495805863517, + "loss": 0.5898, + "step": 11444 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013087449421086077, + "loss": 0.6432, + "step": 11445 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001308640299894021, + "loss": 0.6127, + "step": 11446 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013085356539438574, + "loss": 0.6597, + "step": 11447 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001308431004259384, + "loss": 0.7923, + "step": 11448 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013083263508418673, + "loss": 0.682, + "step": 11449 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013082216936925742, + "loss": 0.674, + "step": 11450 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013081170328127706, + "loss": 0.6417, + "step": 11451 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013080123682037247, + "loss": 0.5965, + "step": 11452 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013079076998667017, + "loss": 0.6042, + "step": 11453 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013078030278029695, + "loss": 0.6585, + "step": 11454 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013076983520137945, + "loss": 0.613, + "step": 11455 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013075936725004435, + "loss": 0.6726, + "step": 11456 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013074889892641839, + "loss": 0.5182, + "step": 11457 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013073843023062826, + "loss": 0.6443, + "step": 11458 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013072796116280066, + "loss": 0.6266, + "step": 11459 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013071749172306228, + "loss": 0.7219, + "step": 11460 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013070702191153986, + "loss": 0.6613, + "step": 11461 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013069655172836015, + "loss": 0.661, + "step": 11462 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001306860811736498, + "loss": 0.5848, + "step": 11463 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013067561024753557, + "loss": 0.6264, + "step": 11464 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013066513895014425, + "loss": 0.6466, + "step": 11465 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013065466728160252, + "loss": 0.6638, + "step": 11466 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013064419524203707, + "loss": 0.5579, + "step": 11467 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013063372283157477, + "loss": 0.5693, + "step": 11468 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013062325005034226, + "loss": 0.7087, + "step": 11469 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013061277689846638, + "loss": 0.6276, + "step": 11470 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013060230337607384, + "loss": 0.5665, + "step": 11471 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013059182948329143, + "loss": 0.6896, + "step": 11472 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013058135522024588, + "loss": 0.6126, + "step": 11473 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013057088058706398, + "loss": 0.6002, + "step": 11474 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013056040558387258, + "loss": 0.577, + "step": 11475 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013054993021079838, + "loss": 0.7014, + "step": 11476 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013053945446796813, + "loss": 0.743, + "step": 11477 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013052897835550876, + "loss": 0.6461, + "step": 11478 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013051850187354694, + "loss": 0.6521, + "step": 11479 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001305080250222095, + "loss": 0.5367, + "step": 11480 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001304975478016233, + "loss": 0.6151, + "step": 11481 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013048707021191507, + "loss": 0.5946, + "step": 11482 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001304765922532117, + "loss": 0.5952, + "step": 11483 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013046611392563995, + "loss": 0.6612, + "step": 11484 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013045563522932666, + "loss": 0.6344, + "step": 11485 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001304451561643987, + "loss": 0.6319, + "step": 11486 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013043467673098282, + "loss": 0.6325, + "step": 11487 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001304241969292059, + "loss": 0.6501, + "step": 11488 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013041371675919482, + "loss": 0.5632, + "step": 11489 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013040323622107636, + "loss": 0.5497, + "step": 11490 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001303927553149774, + "loss": 0.6274, + "step": 11491 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013038227404102475, + "loss": 0.58, + "step": 11492 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013037179239934533, + "loss": 0.6526, + "step": 11493 + }, + { + "epoch": 0.4, + "learning_rate": 0.000130361310390066, + "loss": 0.6432, + "step": 11494 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013035082801331356, + "loss": 0.6152, + "step": 11495 + }, + { + "epoch": 0.4, + "learning_rate": 0.000130340345269215, + "loss": 0.7372, + "step": 11496 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001303298621578971, + "loss": 0.5873, + "step": 11497 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013031937867948674, + "loss": 0.5673, + "step": 11498 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013030889483411082, + "loss": 0.5941, + "step": 11499 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013029841062189626, + "loss": 0.5688, + "step": 11500 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013028792604296993, + "loss": 0.6683, + "step": 11501 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013027744109745873, + "loss": 0.5838, + "step": 11502 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013026695578548957, + "loss": 0.6662, + "step": 11503 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013025647010718938, + "loss": 0.5978, + "step": 11504 + }, + { + "epoch": 0.4, + "learning_rate": 0.000130245984062685, + "loss": 0.622, + "step": 11505 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013023549765210342, + "loss": 0.6082, + "step": 11506 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013022501087557147, + "loss": 0.5669, + "step": 11507 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013021452373321622, + "loss": 0.6375, + "step": 11508 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013020403622516447, + "loss": 0.6409, + "step": 11509 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013019354835154317, + "loss": 0.5636, + "step": 11510 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013018306011247934, + "loss": 0.6435, + "step": 11511 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013017257150809984, + "loss": 0.547, + "step": 11512 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013016208253853164, + "loss": 0.6961, + "step": 11513 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013015159320390173, + "loss": 0.6966, + "step": 11514 + }, + { + "epoch": 0.4, + "learning_rate": 0.000130141103504337, + "loss": 0.6502, + "step": 11515 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013013061343996444, + "loss": 0.5432, + "step": 11516 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013012012301091106, + "loss": 0.5796, + "step": 11517 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013010963221730373, + "loss": 0.5896, + "step": 11518 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013009914105926952, + "loss": 0.6366, + "step": 11519 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013008864953693535, + "loss": 0.6126, + "step": 11520 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013007815765042824, + "loss": 0.655, + "step": 11521 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013006766539987516, + "loss": 0.6651, + "step": 11522 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013005717278540308, + "loss": 0.6158, + "step": 11523 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013004667980713906, + "loss": 0.6469, + "step": 11524 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013003618646520999, + "loss": 0.6656, + "step": 11525 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013002569275974297, + "loss": 0.5822, + "step": 11526 + }, + { + "epoch": 0.4, + "learning_rate": 0.000130015198690865, + "loss": 0.5693, + "step": 11527 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013000470425870303, + "loss": 0.5523, + "step": 11528 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012999420946338414, + "loss": 0.5455, + "step": 11529 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012998371430503536, + "loss": 0.6098, + "step": 11530 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012997321878378362, + "loss": 0.6411, + "step": 11531 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012996272289975607, + "loss": 0.6658, + "step": 11532 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012995222665307968, + "loss": 0.5471, + "step": 11533 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012994173004388153, + "loss": 0.6004, + "step": 11534 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012993123307228861, + "loss": 0.6538, + "step": 11535 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012992073573842798, + "loss": 0.591, + "step": 11536 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012991023804242673, + "loss": 0.656, + "step": 11537 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012989973998441188, + "loss": 0.6815, + "step": 11538 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012988924156451053, + "loss": 0.5704, + "step": 11539 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001298787427828497, + "loss": 0.5181, + "step": 11540 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001298682436395565, + "loss": 0.5742, + "step": 11541 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012985774413475798, + "loss": 0.6443, + "step": 11542 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001298472442685812, + "loss": 0.6681, + "step": 11543 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012983674404115332, + "loss": 0.6312, + "step": 11544 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012982624345260138, + "loss": 0.6705, + "step": 11545 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012981574250305243, + "loss": 0.6073, + "step": 11546 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001298052411926336, + "loss": 0.7288, + "step": 11547 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012979473952147205, + "loss": 0.6357, + "step": 11548 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001297842374896948, + "loss": 0.7242, + "step": 11549 + }, + { + "epoch": 0.4, + "learning_rate": 0.000129773735097429, + "loss": 0.5339, + "step": 11550 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012976323234480173, + "loss": 0.5739, + "step": 11551 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012975272923194017, + "loss": 0.7602, + "step": 11552 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001297422257589714, + "loss": 0.7276, + "step": 11553 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012973172192602252, + "loss": 0.6653, + "step": 11554 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012972121773322074, + "loss": 0.6663, + "step": 11555 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012971071318069313, + "loss": 0.6595, + "step": 11556 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012970020826856687, + "loss": 0.6703, + "step": 11557 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012968970299696907, + "loss": 0.6798, + "step": 11558 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012967919736602687, + "loss": 0.5983, + "step": 11559 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001296686913758675, + "loss": 0.5341, + "step": 11560 + }, + { + "epoch": 0.4, + "learning_rate": 0.000129658185026618, + "loss": 0.6447, + "step": 11561 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012964767831840566, + "loss": 0.6185, + "step": 11562 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012963717125135754, + "loss": 0.6915, + "step": 11563 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012962666382560086, + "loss": 0.6137, + "step": 11564 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012961615604126282, + "loss": 0.728, + "step": 11565 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012960564789847055, + "loss": 0.5862, + "step": 11566 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012959513939735123, + "loss": 0.6421, + "step": 11567 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001295846305380321, + "loss": 0.5996, + "step": 11568 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001295741213206403, + "loss": 0.5883, + "step": 11569 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012956361174530306, + "loss": 0.6556, + "step": 11570 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001295531018121476, + "loss": 0.7775, + "step": 11571 + }, + { + "epoch": 0.4, + "learning_rate": 0.00012954259152130106, + "loss": 0.6061, + "step": 11572 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001295320808728907, + "loss": 0.5818, + "step": 11573 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001295215698670437, + "loss": 0.6534, + "step": 11574 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001295110585038873, + "loss": 0.5504, + "step": 11575 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001295005467835487, + "loss": 0.826, + "step": 11576 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012949003470615517, + "loss": 0.6803, + "step": 11577 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012947952227183393, + "loss": 0.6144, + "step": 11578 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012946900948071217, + "loss": 0.6087, + "step": 11579 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012945849633291717, + "loss": 0.5962, + "step": 11580 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012944798282857618, + "loss": 0.6291, + "step": 11581 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012943746896781642, + "loss": 0.6646, + "step": 11582 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012942695475076516, + "loss": 0.6007, + "step": 11583 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012941644017754964, + "loss": 0.5857, + "step": 11584 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012940592524829717, + "loss": 0.6475, + "step": 11585 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012939540996313498, + "loss": 0.5779, + "step": 11586 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001293848943221903, + "loss": 0.6245, + "step": 11587 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012937437832559047, + "loss": 0.5916, + "step": 11588 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012936386197346273, + "loss": 0.5899, + "step": 11589 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001293533452659344, + "loss": 0.6973, + "step": 11590 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012934282820313274, + "loss": 0.7097, + "step": 11591 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012933231078518504, + "loss": 0.6649, + "step": 11592 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001293217930122186, + "loss": 0.725, + "step": 11593 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012931127488436073, + "loss": 0.689, + "step": 11594 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012930075640173874, + "loss": 0.6003, + "step": 11595 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001292902375644799, + "loss": 0.6283, + "step": 11596 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012927971837271154, + "loss": 0.6426, + "step": 11597 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012926919882656098, + "loss": 0.6043, + "step": 11598 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001292586789261556, + "loss": 0.5017, + "step": 11599 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012924815867162263, + "loss": 0.5994, + "step": 11600 + }, + { + "epoch": 0.41, + "eval_loss": 0.625977098941803, + "eval_runtime": 845.1258, + "eval_samples_per_second": 28.469, + "eval_steps_per_second": 14.235, + "step": 11600 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012923763806308943, + "loss": 0.5533, + "step": 11601 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012922711710068339, + "loss": 0.6431, + "step": 11602 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012921659578453177, + "loss": 0.5781, + "step": 11603 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012920607411476197, + "loss": 0.686, + "step": 11604 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001291955520915013, + "loss": 0.6166, + "step": 11605 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012918502971487716, + "loss": 0.634, + "step": 11606 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012917450698501684, + "loss": 0.639, + "step": 11607 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012916398390204776, + "loss": 0.6864, + "step": 11608 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012915346046609723, + "loss": 0.5509, + "step": 11609 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012914293667729265, + "loss": 0.7335, + "step": 11610 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001291324125357614, + "loss": 0.6161, + "step": 11611 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012912188804163084, + "loss": 0.6815, + "step": 11612 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001291113631950284, + "loss": 0.6279, + "step": 11613 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012910083799608137, + "loss": 0.5692, + "step": 11614 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012909031244491721, + "loss": 0.7074, + "step": 11615 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001290797865416633, + "loss": 0.5977, + "step": 11616 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012906926028644704, + "loss": 0.6098, + "step": 11617 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012905873367939584, + "loss": 0.7594, + "step": 11618 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012904820672063707, + "loss": 0.786, + "step": 11619 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012903767941029818, + "loss": 0.7231, + "step": 11620 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012902715174850657, + "loss": 0.6286, + "step": 11621 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012901662373538967, + "loss": 0.6796, + "step": 11622 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012900609537107492, + "loss": 0.6456, + "step": 11623 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012899556665568968, + "loss": 0.7094, + "step": 11624 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012898503758936145, + "loss": 0.5757, + "step": 11625 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012897450817221765, + "loss": 0.6447, + "step": 11626 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012896397840438573, + "loss": 0.6164, + "step": 11627 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012895344828599308, + "loss": 0.6478, + "step": 11628 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012894291781716724, + "loss": 0.6347, + "step": 11629 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001289323869980356, + "loss": 0.6303, + "step": 11630 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001289218558287256, + "loss": 0.5964, + "step": 11631 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012891132430936474, + "loss": 0.7391, + "step": 11632 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012890079244008048, + "loss": 0.6849, + "step": 11633 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012889026022100031, + "loss": 0.615, + "step": 11634 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012887972765225172, + "loss": 0.6069, + "step": 11635 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001288691947339621, + "loss": 0.5857, + "step": 11636 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012885866146625902, + "loss": 0.6011, + "step": 11637 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012884812784926995, + "loss": 0.6984, + "step": 11638 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012883759388312234, + "loss": 0.6032, + "step": 11639 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001288270595679437, + "loss": 0.6697, + "step": 11640 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001288165249038616, + "loss": 0.5896, + "step": 11641 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012880598989100346, + "loss": 0.7559, + "step": 11642 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001287954545294968, + "loss": 0.627, + "step": 11643 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001287849188194692, + "loss": 0.7209, + "step": 11644 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012877438276104807, + "loss": 0.6647, + "step": 11645 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012876384635436103, + "loss": 0.6493, + "step": 11646 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012875330959953555, + "loss": 0.6437, + "step": 11647 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001287427724966992, + "loss": 0.5756, + "step": 11648 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012873223504597948, + "loss": 0.5591, + "step": 11649 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012872169724750395, + "loss": 0.6704, + "step": 11650 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012871115910140007, + "loss": 0.6054, + "step": 11651 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012870062060779553, + "loss": 0.625, + "step": 11652 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012869008176681778, + "loss": 0.6321, + "step": 11653 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012867954257859442, + "loss": 0.6671, + "step": 11654 + }, + { + "epoch": 0.41, + "learning_rate": 0.000128669003043253, + "loss": 0.6854, + "step": 11655 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012865846316092105, + "loss": 0.5638, + "step": 11656 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012864792293172618, + "loss": 0.6368, + "step": 11657 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012863738235579595, + "loss": 0.6041, + "step": 11658 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001286268414332579, + "loss": 0.7248, + "step": 11659 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001286163001642397, + "loss": 0.6086, + "step": 11660 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012860575854886882, + "loss": 0.6643, + "step": 11661 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012859521658727295, + "loss": 0.5846, + "step": 11662 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012858467427957957, + "loss": 0.582, + "step": 11663 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012857413162591642, + "loss": 0.5627, + "step": 11664 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012856358862641104, + "loss": 0.6788, + "step": 11665 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012855304528119093, + "loss": 0.5588, + "step": 11666 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012854250159038388, + "loss": 0.6507, + "step": 11667 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012853195755411738, + "loss": 0.5834, + "step": 11668 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012852141317251908, + "loss": 0.6264, + "step": 11669 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001285108684457166, + "loss": 0.5051, + "step": 11670 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012850032337383756, + "loss": 0.61, + "step": 11671 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012848977795700965, + "loss": 0.5761, + "step": 11672 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012847923219536043, + "loss": 0.6, + "step": 11673 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012846868608901757, + "loss": 0.5512, + "step": 11674 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012845813963810872, + "loss": 0.6123, + "step": 11675 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001284475928427615, + "loss": 0.5972, + "step": 11676 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012843704570310356, + "loss": 0.6249, + "step": 11677 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012842649821926262, + "loss": 0.6327, + "step": 11678 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012841595039136627, + "loss": 0.5815, + "step": 11679 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001284054022195422, + "loss": 0.6027, + "step": 11680 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001283948537039181, + "loss": 0.5887, + "step": 11681 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012838430484462157, + "loss": 0.6316, + "step": 11682 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012837375564178033, + "loss": 0.6703, + "step": 11683 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001283632060955221, + "loss": 0.5896, + "step": 11684 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012835265620597452, + "loss": 0.6264, + "step": 11685 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012834210597326528, + "loss": 0.6439, + "step": 11686 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012833155539752208, + "loss": 0.6029, + "step": 11687 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012832100447887263, + "loss": 0.702, + "step": 11688 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001283104532174446, + "loss": 0.5852, + "step": 11689 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012829990161336574, + "loss": 0.7052, + "step": 11690 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012828934966676374, + "loss": 0.5876, + "step": 11691 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012827879737776628, + "loss": 0.6967, + "step": 11692 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001282682447465011, + "loss": 0.587, + "step": 11693 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012825769177309595, + "loss": 0.5877, + "step": 11694 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012824713845767852, + "loss": 0.7481, + "step": 11695 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012823658480037658, + "loss": 0.5849, + "step": 11696 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001282260308013178, + "loss": 0.5948, + "step": 11697 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012821547646063, + "loss": 0.7382, + "step": 11698 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012820492177844086, + "loss": 0.6981, + "step": 11699 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012819436675487813, + "loss": 0.6492, + "step": 11700 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012818381139006958, + "loss": 0.5744, + "step": 11701 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012817325568414297, + "loss": 0.6555, + "step": 11702 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012816269963722605, + "loss": 0.6674, + "step": 11703 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012815214324944662, + "loss": 0.6628, + "step": 11704 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012814158652093235, + "loss": 0.6957, + "step": 11705 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012813102945181116, + "loss": 0.5857, + "step": 11706 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012812047204221067, + "loss": 0.6307, + "step": 11707 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012810991429225877, + "loss": 0.7212, + "step": 11708 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012809935620208316, + "loss": 0.6234, + "step": 11709 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012808879777181172, + "loss": 0.6508, + "step": 11710 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012807823900157214, + "loss": 0.6476, + "step": 11711 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001280676798914923, + "loss": 0.6009, + "step": 11712 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012805712044169999, + "loss": 0.6514, + "step": 11713 + }, + { + "epoch": 0.41, + "learning_rate": 0.000128046560652323, + "loss": 0.564, + "step": 11714 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012803600052348907, + "loss": 0.7176, + "step": 11715 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012802544005532612, + "loss": 0.6356, + "step": 11716 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012801487924796192, + "loss": 0.5956, + "step": 11717 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012800431810152432, + "loss": 0.4823, + "step": 11718 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001279937566161411, + "loss": 0.5061, + "step": 11719 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001279831947919401, + "loss": 0.635, + "step": 11720 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012797263262904918, + "loss": 0.5406, + "step": 11721 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001279620701275961, + "loss": 0.6158, + "step": 11722 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012795150728770884, + "loss": 0.6209, + "step": 11723 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012794094410951515, + "loss": 0.5964, + "step": 11724 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012793038059314286, + "loss": 0.7087, + "step": 11725 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001279198167387199, + "loss": 0.6442, + "step": 11726 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012790925254637406, + "loss": 0.5706, + "step": 11727 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012789868801623325, + "loss": 0.6567, + "step": 11728 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012788812314842531, + "loss": 0.6043, + "step": 11729 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001278775579430781, + "loss": 0.7412, + "step": 11730 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012786699240031955, + "loss": 0.6014, + "step": 11731 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012785642652027746, + "loss": 0.5672, + "step": 11732 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012784586030307974, + "loss": 0.5831, + "step": 11733 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012783529374885434, + "loss": 0.5646, + "step": 11734 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012782472685772905, + "loss": 0.6954, + "step": 11735 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012781415962983186, + "loss": 0.5923, + "step": 11736 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001278035920652906, + "loss": 0.6253, + "step": 11737 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012779302416423316, + "loss": 0.6195, + "step": 11738 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012778245592678754, + "loss": 0.603, + "step": 11739 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012777188735308155, + "loss": 0.6344, + "step": 11740 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012776131844324315, + "loss": 0.6088, + "step": 11741 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012775074919740026, + "loss": 0.6045, + "step": 11742 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001277401796156808, + "loss": 0.7368, + "step": 11743 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012772960969821272, + "loss": 0.6131, + "step": 11744 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012771903944512389, + "loss": 0.5964, + "step": 11745 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001277084688565423, + "loss": 0.5088, + "step": 11746 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012769789793259587, + "loss": 0.5719, + "step": 11747 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012768732667341255, + "loss": 0.6618, + "step": 11748 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012767675507912028, + "loss": 0.6626, + "step": 11749 + }, + { + "epoch": 0.41, + "learning_rate": 0.000127666183149847, + "loss": 0.6252, + "step": 11750 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001276556108857207, + "loss": 0.6678, + "step": 11751 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012764503828686932, + "loss": 0.6235, + "step": 11752 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012763446535342081, + "loss": 0.603, + "step": 11753 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012762389208550317, + "loss": 0.6063, + "step": 11754 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012761331848324433, + "loss": 0.6149, + "step": 11755 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012760274454677231, + "loss": 0.6775, + "step": 11756 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012759217027621505, + "loss": 0.708, + "step": 11757 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012758159567170056, + "loss": 0.7341, + "step": 11758 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012757102073335683, + "loss": 0.6403, + "step": 11759 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012756044546131183, + "loss": 0.6718, + "step": 11760 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012754986985569357, + "loss": 0.5658, + "step": 11761 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012753929391663007, + "loss": 0.5794, + "step": 11762 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012752871764424927, + "loss": 0.6267, + "step": 11763 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012751814103867924, + "loss": 0.6805, + "step": 11764 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012750756410004802, + "loss": 0.6819, + "step": 11765 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001274969868284835, + "loss": 0.6389, + "step": 11766 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012748640922411383, + "loss": 0.6588, + "step": 11767 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012747583128706698, + "loss": 0.6359, + "step": 11768 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012746525301747096, + "loss": 0.6415, + "step": 11769 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012745467441545384, + "loss": 0.562, + "step": 11770 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012744409548114363, + "loss": 0.6395, + "step": 11771 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012743351621466838, + "loss": 0.729, + "step": 11772 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012742293661615616, + "loss": 0.575, + "step": 11773 + }, + { + "epoch": 0.41, + "learning_rate": 0.000127412356685735, + "loss": 0.6139, + "step": 11774 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012740177642353294, + "loss": 0.6012, + "step": 11775 + }, + { + "epoch": 0.41, + "learning_rate": 0.000127391195829678, + "loss": 0.5416, + "step": 11776 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012738061490429834, + "loss": 0.6807, + "step": 11777 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001273700336475219, + "loss": 0.6184, + "step": 11778 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012735945205947689, + "loss": 0.6882, + "step": 11779 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012734887014029126, + "loss": 0.5809, + "step": 11780 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012733828789009315, + "loss": 0.6143, + "step": 11781 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012732770530901063, + "loss": 0.5634, + "step": 11782 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012731712239717177, + "loss": 0.6376, + "step": 11783 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012730653915470468, + "loss": 0.8312, + "step": 11784 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012729595558173744, + "loss": 0.5902, + "step": 11785 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001272853716783981, + "loss": 0.5872, + "step": 11786 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001272747874448149, + "loss": 0.6306, + "step": 11787 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001272642028811158, + "loss": 0.539, + "step": 11788 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012725361798742894, + "loss": 0.6256, + "step": 11789 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001272430327638825, + "loss": 0.5282, + "step": 11790 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012723244721060453, + "loss": 0.6855, + "step": 11791 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012722186132772316, + "loss": 0.5884, + "step": 11792 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012721127511536654, + "loss": 0.6142, + "step": 11793 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012720068857366277, + "loss": 0.6421, + "step": 11794 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012719010170274001, + "loss": 0.6708, + "step": 11795 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012717951450272636, + "loss": 0.6356, + "step": 11796 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012716892697375002, + "loss": 0.5996, + "step": 11797 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001271583391159391, + "loss": 0.7152, + "step": 11798 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001271477509294217, + "loss": 0.6229, + "step": 11799 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012713716241432606, + "loss": 0.6133, + "step": 11800 + }, + { + "epoch": 0.41, + "eval_loss": 0.6201381087303162, + "eval_runtime": 855.5515, + "eval_samples_per_second": 28.122, + "eval_steps_per_second": 14.061, + "step": 11800 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012712657357078026, + "loss": 0.6682, + "step": 11801 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001271159843989125, + "loss": 0.6554, + "step": 11802 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012710539489885095, + "loss": 0.6375, + "step": 11803 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012709480507072378, + "loss": 0.522, + "step": 11804 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012708421491465914, + "loss": 0.5729, + "step": 11805 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012707362443078522, + "loss": 0.6785, + "step": 11806 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001270630336192302, + "loss": 0.6401, + "step": 11807 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012705244248012223, + "loss": 0.5239, + "step": 11808 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012704185101358953, + "loss": 0.6145, + "step": 11809 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012703125921976032, + "loss": 0.6104, + "step": 11810 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012702066709876275, + "loss": 0.6834, + "step": 11811 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012701007465072502, + "loss": 0.6125, + "step": 11812 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012699948187577537, + "loss": 0.6663, + "step": 11813 + }, + { + "epoch": 0.41, + "learning_rate": 0.000126988888774042, + "loss": 0.6569, + "step": 11814 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012697829534565307, + "loss": 0.4991, + "step": 11815 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001269677015907369, + "loss": 0.6604, + "step": 11816 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012695710750942158, + "loss": 0.6275, + "step": 11817 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012694651310183542, + "loss": 0.704, + "step": 11818 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012693591836810666, + "loss": 0.644, + "step": 11819 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012692532330836346, + "loss": 0.6825, + "step": 11820 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001269147279227341, + "loss": 0.5614, + "step": 11821 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001269041322113468, + "loss": 0.6022, + "step": 11822 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012689353617432984, + "loss": 0.6344, + "step": 11823 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012688293981181144, + "loss": 0.5861, + "step": 11824 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012687234312391986, + "loss": 0.6762, + "step": 11825 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012686174611078338, + "loss": 0.6856, + "step": 11826 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012685114877253014, + "loss": 0.6706, + "step": 11827 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012684055110928857, + "loss": 0.63, + "step": 11828 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012682995312118684, + "loss": 0.6337, + "step": 11829 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012681935480835324, + "loss": 0.5112, + "step": 11830 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012680875617091604, + "loss": 0.6969, + "step": 11831 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012679815720900353, + "loss": 0.5941, + "step": 11832 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012678755792274398, + "loss": 0.6199, + "step": 11833 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001267769583122657, + "loss": 0.5727, + "step": 11834 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012676635837769693, + "loss": 0.5298, + "step": 11835 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012675575811916604, + "loss": 0.6886, + "step": 11836 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012674515753680128, + "loss": 0.6039, + "step": 11837 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012673455663073094, + "loss": 0.5519, + "step": 11838 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012672395540108336, + "loss": 0.5896, + "step": 11839 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012671335384798686, + "loss": 0.6864, + "step": 11840 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001267027519715697, + "loss": 0.6686, + "step": 11841 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012669214977196021, + "loss": 0.7217, + "step": 11842 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012668154724928678, + "loss": 0.681, + "step": 11843 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012667094440367766, + "loss": 0.5605, + "step": 11844 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001266603412352612, + "loss": 0.6423, + "step": 11845 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012664973774416575, + "loss": 0.4969, + "step": 11846 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012663913393051962, + "loss": 0.698, + "step": 11847 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012662852979445122, + "loss": 0.5479, + "step": 11848 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001266179253360888, + "loss": 0.5324, + "step": 11849 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012660732055556074, + "loss": 0.6484, + "step": 11850 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012659671545299546, + "loss": 0.7175, + "step": 11851 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012658611002852124, + "loss": 0.708, + "step": 11852 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012657550428226644, + "loss": 0.5909, + "step": 11853 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001265648982143595, + "loss": 0.6749, + "step": 11854 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001265542918249287, + "loss": 0.6469, + "step": 11855 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012654368511410245, + "loss": 0.6713, + "step": 11856 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012653307808200914, + "loss": 0.6258, + "step": 11857 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012652247072877714, + "loss": 0.6278, + "step": 11858 + }, + { + "epoch": 0.41, + "learning_rate": 0.00012651186305453484, + "loss": 0.6213, + "step": 11859 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001265012550594106, + "loss": 0.6391, + "step": 11860 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012649064674353285, + "loss": 0.5395, + "step": 11861 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012648003810702998, + "loss": 0.5962, + "step": 11862 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012646942915003036, + "loss": 0.5523, + "step": 11863 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012645881987266238, + "loss": 0.5626, + "step": 11864 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001264482102750545, + "loss": 0.5768, + "step": 11865 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012643760035733516, + "loss": 0.5549, + "step": 11866 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001264269901196327, + "loss": 0.6206, + "step": 11867 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012641637956207555, + "loss": 0.7204, + "step": 11868 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012640576868479218, + "loss": 0.577, + "step": 11869 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012639515748791096, + "loss": 0.7766, + "step": 11870 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012638454597156036, + "loss": 0.6625, + "step": 11871 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001263739341358688, + "loss": 0.6213, + "step": 11872 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001263633219809647, + "loss": 0.6435, + "step": 11873 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012635270950697654, + "loss": 0.6757, + "step": 11874 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012634209671403277, + "loss": 0.6127, + "step": 11875 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012633148360226179, + "loss": 0.6273, + "step": 11876 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001263208701717921, + "loss": 0.6009, + "step": 11877 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012631025642275212, + "loss": 0.6339, + "step": 11878 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012629964235527037, + "loss": 0.5839, + "step": 11879 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012628902796947526, + "loss": 0.5718, + "step": 11880 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012627841326549527, + "loss": 0.5649, + "step": 11881 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012626779824345888, + "loss": 0.5272, + "step": 11882 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001262571829034946, + "loss": 0.7037, + "step": 11883 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012624656724573083, + "loss": 0.532, + "step": 11884 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012623595127029614, + "loss": 0.6628, + "step": 11885 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012622533497731896, + "loss": 0.7012, + "step": 11886 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012621471836692785, + "loss": 0.5853, + "step": 11887 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012620410143925125, + "loss": 0.688, + "step": 11888 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012619348419441764, + "loss": 0.6186, + "step": 11889 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012618286663255556, + "loss": 0.6142, + "step": 11890 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012617224875379352, + "loss": 0.5961, + "step": 11891 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012616163055826005, + "loss": 0.5851, + "step": 11892 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012615101204608363, + "loss": 0.6786, + "step": 11893 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012614039321739276, + "loss": 0.5971, + "step": 11894 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012612977407231606, + "loss": 0.7272, + "step": 11895 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012611915461098193, + "loss": 0.7683, + "step": 11896 + }, + { + "epoch": 0.42, + "learning_rate": 0.000126108534833519, + "loss": 0.7599, + "step": 11897 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012609791474005574, + "loss": 0.6882, + "step": 11898 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001260872943307207, + "loss": 0.6152, + "step": 11899 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012607667360564251, + "loss": 0.5467, + "step": 11900 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012606605256494958, + "loss": 0.6553, + "step": 11901 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012605543120877054, + "loss": 0.6865, + "step": 11902 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012604480953723395, + "loss": 0.6375, + "step": 11903 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012603418755046829, + "loss": 0.5428, + "step": 11904 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012602356524860225, + "loss": 0.5658, + "step": 11905 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012601294263176426, + "loss": 0.6673, + "step": 11906 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012600231970008298, + "loss": 0.6209, + "step": 11907 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012599169645368698, + "loss": 0.6114, + "step": 11908 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012598107289270478, + "loss": 0.5839, + "step": 11909 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012597044901726498, + "loss": 0.6081, + "step": 11910 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012595982482749619, + "loss": 0.5573, + "step": 11911 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012594920032352698, + "loss": 0.6433, + "step": 11912 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012593857550548596, + "loss": 0.545, + "step": 11913 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001259279503735017, + "loss": 0.6805, + "step": 11914 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001259173249277028, + "loss": 0.6484, + "step": 11915 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001259066991682179, + "loss": 0.619, + "step": 11916 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012589607309517557, + "loss": 0.5523, + "step": 11917 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012588544670870443, + "loss": 0.6111, + "step": 11918 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012587482000893306, + "loss": 0.6498, + "step": 11919 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001258641929959902, + "loss": 0.6465, + "step": 11920 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012585356567000432, + "loss": 0.6674, + "step": 11921 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012584293803110413, + "loss": 0.6107, + "step": 11922 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012583231007941823, + "loss": 0.6186, + "step": 11923 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001258216818150753, + "loss": 0.6281, + "step": 11924 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012581105323820392, + "loss": 0.6652, + "step": 11925 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001258004243489328, + "loss": 0.64, + "step": 11926 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001257897951473905, + "loss": 0.6551, + "step": 11927 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012577916563370572, + "loss": 0.6252, + "step": 11928 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012576853580800707, + "loss": 0.5853, + "step": 11929 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012575790567042328, + "loss": 0.6206, + "step": 11930 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012574727522108296, + "loss": 0.5971, + "step": 11931 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012573664446011477, + "loss": 0.6503, + "step": 11932 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001257260133876474, + "loss": 0.6198, + "step": 11933 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001257153820038095, + "loss": 0.6381, + "step": 11934 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012570475030872978, + "loss": 0.5921, + "step": 11935 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012569411830253688, + "loss": 0.7033, + "step": 11936 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012568348598535948, + "loss": 0.6358, + "step": 11937 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012567285335732633, + "loss": 0.4866, + "step": 11938 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012566222041856607, + "loss": 0.6699, + "step": 11939 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012565158716920736, + "loss": 0.5805, + "step": 11940 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012564095360937896, + "loss": 0.6639, + "step": 11941 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001256303197392095, + "loss": 0.5917, + "step": 11942 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012561968555882782, + "loss": 0.6131, + "step": 11943 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001256090510683625, + "loss": 0.659, + "step": 11944 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012559841626794227, + "loss": 0.7402, + "step": 11945 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012558778115769593, + "loss": 0.6691, + "step": 11946 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001255771457377521, + "loss": 0.6218, + "step": 11947 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012556651000823955, + "loss": 0.5883, + "step": 11948 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012555587396928704, + "loss": 0.7763, + "step": 11949 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012554523762102322, + "loss": 0.6724, + "step": 11950 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001255346009635769, + "loss": 0.7635, + "step": 11951 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012552396399707677, + "loss": 0.6494, + "step": 11952 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012551332672165158, + "loss": 0.5703, + "step": 11953 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012550268913743016, + "loss": 0.6403, + "step": 11954 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001254920512445411, + "loss": 0.6557, + "step": 11955 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012548141304311332, + "loss": 0.6157, + "step": 11956 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012547077453327544, + "loss": 0.5837, + "step": 11957 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012546013571515633, + "loss": 0.6942, + "step": 11958 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012544949658888468, + "loss": 0.6532, + "step": 11959 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012543885715458926, + "loss": 0.6142, + "step": 11960 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012542821741239895, + "loss": 0.6334, + "step": 11961 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012541757736244237, + "loss": 0.5638, + "step": 11962 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001254069370048484, + "loss": 0.6278, + "step": 11963 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012539629633974582, + "loss": 0.5811, + "step": 11964 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012538565536726335, + "loss": 0.5942, + "step": 11965 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001253750140875299, + "loss": 0.5912, + "step": 11966 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012536437250067415, + "loss": 0.5668, + "step": 11967 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001253537306068249, + "loss": 0.5121, + "step": 11968 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012534308840611105, + "loss": 0.7151, + "step": 11969 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012533244589866136, + "loss": 0.5875, + "step": 11970 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012532180308460458, + "loss": 0.6231, + "step": 11971 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012531115996406963, + "loss": 0.5663, + "step": 11972 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001253005165371852, + "loss": 0.7118, + "step": 11973 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012528987280408026, + "loss": 0.5964, + "step": 11974 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012527922876488353, + "loss": 0.6339, + "step": 11975 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012526858441972387, + "loss": 0.6001, + "step": 11976 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012525793976873008, + "loss": 0.677, + "step": 11977 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012524729481203103, + "loss": 0.6094, + "step": 11978 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012523664954975557, + "loss": 0.5969, + "step": 11979 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012522600398203251, + "loss": 0.6851, + "step": 11980 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012521535810899073, + "loss": 0.6595, + "step": 11981 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012520471193075904, + "loss": 0.5682, + "step": 11982 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012519406544746632, + "loss": 0.6583, + "step": 11983 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012518341865924143, + "loss": 0.5764, + "step": 11984 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012517277156621324, + "loss": 0.5931, + "step": 11985 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012516212416851058, + "loss": 0.6247, + "step": 11986 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012515147646626235, + "loss": 0.625, + "step": 11987 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001251408284595974, + "loss": 0.6841, + "step": 11988 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012513018014864463, + "loss": 0.6495, + "step": 11989 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012511953153353293, + "loss": 0.6404, + "step": 11990 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012510888261439113, + "loss": 0.6964, + "step": 11991 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012509823339134819, + "loss": 0.5784, + "step": 11992 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001250875838645329, + "loss": 0.6223, + "step": 11993 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012507693403407427, + "loss": 0.6672, + "step": 11994 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012506628390010117, + "loss": 0.5308, + "step": 11995 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001250556334627424, + "loss": 0.5331, + "step": 11996 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012504498272212703, + "loss": 0.5174, + "step": 11997 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012503433167838378, + "loss": 0.6877, + "step": 11998 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012502368033164176, + "loss": 0.6103, + "step": 11999 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012501302868202975, + "loss": 0.6707, + "step": 12000 + }, + { + "epoch": 0.42, + "eval_loss": 0.6138113737106323, + "eval_runtime": 844.262, + "eval_samples_per_second": 28.498, + "eval_steps_per_second": 14.249, + "step": 12000 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012500237672967673, + "loss": 0.6065, + "step": 12001 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012499172447471158, + "loss": 0.6357, + "step": 12002 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012498107191726327, + "loss": 0.5459, + "step": 12003 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001249704190574607, + "loss": 0.5087, + "step": 12004 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012495976589543286, + "loss": 0.5447, + "step": 12005 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012494911243130863, + "loss": 0.5493, + "step": 12006 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012493845866521697, + "loss": 0.7247, + "step": 12007 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012492780459728685, + "loss": 0.5404, + "step": 12008 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012491715022764716, + "loss": 0.5848, + "step": 12009 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012490649555642693, + "loss": 0.5461, + "step": 12010 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012489584058375503, + "loss": 0.6583, + "step": 12011 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012488518530976052, + "loss": 0.5724, + "step": 12012 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012487452973457229, + "loss": 0.7039, + "step": 12013 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012486387385831935, + "loss": 0.5703, + "step": 12014 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012485321768113065, + "loss": 0.6205, + "step": 12015 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012484256120313513, + "loss": 0.5861, + "step": 12016 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012483190442446186, + "loss": 0.6034, + "step": 12017 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012482124734523978, + "loss": 0.7239, + "step": 12018 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001248105899655978, + "loss": 0.6697, + "step": 12019 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012479993228566502, + "loss": 0.6875, + "step": 12020 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012478927430557038, + "loss": 0.6061, + "step": 12021 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001247786160254429, + "loss": 0.6638, + "step": 12022 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012476795744541158, + "loss": 0.6154, + "step": 12023 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012475729856560537, + "loss": 0.631, + "step": 12024 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012474663938615333, + "loss": 0.631, + "step": 12025 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012473597990718448, + "loss": 0.6675, + "step": 12026 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001247253201288278, + "loss": 0.6078, + "step": 12027 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012471466005121236, + "loss": 0.4915, + "step": 12028 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012470399967446708, + "loss": 0.6351, + "step": 12029 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012469333899872112, + "loss": 0.5585, + "step": 12030 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012468267802410342, + "loss": 0.6812, + "step": 12031 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012467201675074306, + "loss": 0.6526, + "step": 12032 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012466135517876902, + "loss": 0.4916, + "step": 12033 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012465069330831041, + "loss": 0.5934, + "step": 12034 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012464003113949617, + "loss": 0.6261, + "step": 12035 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012462936867245548, + "loss": 0.6185, + "step": 12036 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012461870590731733, + "loss": 0.6623, + "step": 12037 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012460804284421075, + "loss": 0.6359, + "step": 12038 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012459737948326485, + "loss": 0.6154, + "step": 12039 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012458671582460862, + "loss": 0.6238, + "step": 12040 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001245760518683712, + "loss": 0.6632, + "step": 12041 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012456538761468163, + "loss": 0.5787, + "step": 12042 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012455472306366897, + "loss": 0.6057, + "step": 12043 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012454405821546232, + "loss": 0.636, + "step": 12044 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012453339307019073, + "loss": 0.6973, + "step": 12045 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012452272762798335, + "loss": 0.6201, + "step": 12046 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012451206188896915, + "loss": 0.6802, + "step": 12047 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012450139585327733, + "loss": 0.629, + "step": 12048 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012449072952103695, + "loss": 0.5766, + "step": 12049 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001244800628923771, + "loss": 0.632, + "step": 12050 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001244693959674269, + "loss": 0.6971, + "step": 12051 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001244587287463154, + "loss": 0.6498, + "step": 12052 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012444806122917178, + "loss": 0.675, + "step": 12053 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012443739341612512, + "loss": 0.6033, + "step": 12054 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012442672530730452, + "loss": 0.7198, + "step": 12055 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012441605690283915, + "loss": 0.5594, + "step": 12056 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012440538820285808, + "loss": 0.6374, + "step": 12057 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001243947192074905, + "loss": 0.5583, + "step": 12058 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012438404991686546, + "loss": 0.4973, + "step": 12059 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001243733803311121, + "loss": 0.6627, + "step": 12060 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012436271045035966, + "loss": 0.595, + "step": 12061 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012435204027473715, + "loss": 0.6842, + "step": 12062 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012434136980437382, + "loss": 0.7288, + "step": 12063 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012433069903939876, + "loss": 0.6304, + "step": 12064 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012432002797994112, + "loss": 0.5744, + "step": 12065 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001243093566261301, + "loss": 0.5865, + "step": 12066 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012429868497809482, + "loss": 0.57, + "step": 12067 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012428801303596444, + "loss": 0.6826, + "step": 12068 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012427734079986817, + "loss": 0.6448, + "step": 12069 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012426666826993512, + "loss": 0.6945, + "step": 12070 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012425599544629452, + "loss": 0.5544, + "step": 12071 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001242453223290755, + "loss": 0.8091, + "step": 12072 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012423464891840727, + "loss": 0.6304, + "step": 12073 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012422397521441898, + "loss": 0.6994, + "step": 12074 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012421330121723984, + "loss": 0.5674, + "step": 12075 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012420262692699907, + "loss": 0.6023, + "step": 12076 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012419195234382585, + "loss": 0.6119, + "step": 12077 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001241812774678493, + "loss": 0.6522, + "step": 12078 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012417060229919874, + "loss": 0.7106, + "step": 12079 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012415992683800328, + "loss": 0.6446, + "step": 12080 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001241492510843922, + "loss": 0.6066, + "step": 12081 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001241385750384947, + "loss": 0.6082, + "step": 12082 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012412789870043994, + "loss": 0.702, + "step": 12083 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001241172220703572, + "loss": 0.6092, + "step": 12084 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012410654514837565, + "loss": 0.5895, + "step": 12085 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012409586793462454, + "loss": 0.5051, + "step": 12086 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012408519042923313, + "loss": 0.6358, + "step": 12087 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012407451263233066, + "loss": 0.5467, + "step": 12088 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012406383454404628, + "loss": 0.7304, + "step": 12089 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012405315616450936, + "loss": 0.6036, + "step": 12090 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012404247749384897, + "loss": 0.5697, + "step": 12091 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012403179853219453, + "loss": 0.5347, + "step": 12092 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012402111927967518, + "loss": 0.6089, + "step": 12093 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012401043973642024, + "loss": 0.7253, + "step": 12094 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012399975990255894, + "loss": 0.6619, + "step": 12095 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001239890797782205, + "loss": 0.7444, + "step": 12096 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001239783993635343, + "loss": 0.6183, + "step": 12097 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001239677186586295, + "loss": 0.5806, + "step": 12098 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001239570376636354, + "loss": 0.5948, + "step": 12099 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001239463563786813, + "loss": 0.645, + "step": 12100 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012393567480389645, + "loss": 0.5681, + "step": 12101 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012392499293941017, + "loss": 0.6032, + "step": 12102 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012391431078535172, + "loss": 0.6676, + "step": 12103 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012390362834185033, + "loss": 0.5519, + "step": 12104 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012389294560903545, + "loss": 0.6443, + "step": 12105 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012388226258703623, + "loss": 0.5271, + "step": 12106 + }, + { + "epoch": 0.42, + "learning_rate": 0.000123871579275982, + "loss": 0.5699, + "step": 12107 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012386089567600214, + "loss": 0.5414, + "step": 12108 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012385021178722586, + "loss": 0.6126, + "step": 12109 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012383952760978257, + "loss": 0.5578, + "step": 12110 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012382884314380147, + "loss": 0.519, + "step": 12111 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012381815838941198, + "loss": 0.5193, + "step": 12112 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012380747334674334, + "loss": 0.6903, + "step": 12113 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012379678801592494, + "loss": 0.6473, + "step": 12114 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012378610239708606, + "loss": 0.5127, + "step": 12115 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012377541649035605, + "loss": 0.7054, + "step": 12116 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012376473029586426, + "loss": 0.7204, + "step": 12117 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012375404381373997, + "loss": 0.6132, + "step": 12118 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012374335704411262, + "loss": 0.6496, + "step": 12119 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001237326699871115, + "loss": 0.6902, + "step": 12120 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012372198264286595, + "loss": 0.5521, + "step": 12121 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012371129501150533, + "loss": 0.604, + "step": 12122 + }, + { + "epoch": 0.42, + "learning_rate": 0.000123700607093159, + "loss": 0.7035, + "step": 12123 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012368991888795633, + "loss": 0.7594, + "step": 12124 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012367923039602666, + "loss": 0.5536, + "step": 12125 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012366854161749937, + "loss": 0.6106, + "step": 12126 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012365785255250383, + "loss": 0.6004, + "step": 12127 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012364716320116943, + "loss": 0.5577, + "step": 12128 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012363647356362548, + "loss": 0.6307, + "step": 12129 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012362578364000145, + "loss": 0.528, + "step": 12130 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012361509343042669, + "loss": 0.6302, + "step": 12131 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012360440293503056, + "loss": 0.7808, + "step": 12132 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012359371215394247, + "loss": 0.6565, + "step": 12133 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001235830210872918, + "loss": 0.565, + "step": 12134 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012357232973520798, + "loss": 0.6028, + "step": 12135 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001235616380978204, + "loss": 0.6617, + "step": 12136 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012355094617525844, + "loss": 0.5346, + "step": 12137 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012354025396765154, + "loss": 0.6617, + "step": 12138 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012352956147512907, + "loss": 0.6424, + "step": 12139 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012351886869782052, + "loss": 0.553, + "step": 12140 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012350817563585524, + "loss": 0.6407, + "step": 12141 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012349748228936264, + "loss": 0.6725, + "step": 12142 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012348678865847223, + "loss": 0.5641, + "step": 12143 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012347609474331334, + "loss": 0.6204, + "step": 12144 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012346540054401547, + "loss": 0.5358, + "step": 12145 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012345470606070803, + "loss": 0.554, + "step": 12146 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012344401129352046, + "loss": 0.7069, + "step": 12147 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012343331624258222, + "loss": 0.6817, + "step": 12148 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012342262090802268, + "loss": 0.6662, + "step": 12149 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001234119252899714, + "loss": 0.6314, + "step": 12150 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012340122938855777, + "loss": 0.6578, + "step": 12151 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012339053320391128, + "loss": 0.6512, + "step": 12152 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012337983673616133, + "loss": 0.6752, + "step": 12153 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012336913998543743, + "loss": 0.5758, + "step": 12154 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012335844295186904, + "loss": 0.575, + "step": 12155 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012334774563558563, + "loss": 0.5686, + "step": 12156 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001233370480367167, + "loss": 0.6309, + "step": 12157 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012332635015539165, + "loss": 0.5468, + "step": 12158 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012331565199174, + "loss": 0.6765, + "step": 12159 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012330495354589128, + "loss": 0.5812, + "step": 12160 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001232942548179749, + "loss": 0.588, + "step": 12161 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001232835558081204, + "loss": 0.7214, + "step": 12162 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012327285651645727, + "loss": 0.7007, + "step": 12163 + }, + { + "epoch": 0.43, + "learning_rate": 0.000123262156943115, + "loss": 0.6052, + "step": 12164 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012325145708822307, + "loss": 0.7441, + "step": 12165 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012324075695191103, + "loss": 0.4949, + "step": 12166 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001232300565343083, + "loss": 0.6303, + "step": 12167 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001232193558355445, + "loss": 0.6636, + "step": 12168 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001232086548557491, + "loss": 0.7071, + "step": 12169 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012319795359505158, + "loss": 0.6204, + "step": 12170 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001231872520535815, + "loss": 0.6793, + "step": 12171 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001231765502314684, + "loss": 0.5829, + "step": 12172 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012316584812884177, + "loss": 0.6648, + "step": 12173 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012315514574583113, + "loss": 0.5496, + "step": 12174 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012314444308256605, + "loss": 0.642, + "step": 12175 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001231337401391761, + "loss": 0.5817, + "step": 12176 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012312303691579076, + "loss": 0.5802, + "step": 12177 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012311233341253958, + "loss": 0.6262, + "step": 12178 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012310162962955214, + "loss": 0.6406, + "step": 12179 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012309092556695794, + "loss": 0.6423, + "step": 12180 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012308022122488658, + "loss": 0.5957, + "step": 12181 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012306951660346762, + "loss": 0.596, + "step": 12182 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001230588117028306, + "loss": 0.559, + "step": 12183 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001230481065231051, + "loss": 0.6804, + "step": 12184 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012303740106442066, + "loss": 0.6276, + "step": 12185 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001230266953269069, + "loss": 0.6128, + "step": 12186 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012301598931069337, + "loss": 0.6187, + "step": 12187 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012300528301590962, + "loss": 0.7466, + "step": 12188 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012299457644268527, + "loss": 0.6382, + "step": 12189 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012298386959114986, + "loss": 0.5584, + "step": 12190 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012297316246143308, + "loss": 0.5745, + "step": 12191 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001229624550536644, + "loss": 0.5295, + "step": 12192 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001229517473679735, + "loss": 0.623, + "step": 12193 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012294103940448995, + "loss": 0.6031, + "step": 12194 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012293033116334332, + "loss": 0.6572, + "step": 12195 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012291962264466327, + "loss": 0.5845, + "step": 12196 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001229089138485794, + "loss": 0.6177, + "step": 12197 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012289820477522128, + "loss": 0.5597, + "step": 12198 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012288749542471855, + "loss": 0.5189, + "step": 12199 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012287678579720083, + "loss": 0.6454, + "step": 12200 + }, + { + "epoch": 0.43, + "eval_loss": 0.6077780723571777, + "eval_runtime": 843.5156, + "eval_samples_per_second": 28.523, + "eval_steps_per_second": 14.262, + "step": 12200 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012286607589279778, + "loss": 0.6823, + "step": 12201 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012285536571163895, + "loss": 0.6498, + "step": 12202 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012284465525385402, + "loss": 0.4953, + "step": 12203 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012283394451957262, + "loss": 0.5662, + "step": 12204 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012282323350892437, + "loss": 0.5579, + "step": 12205 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001228125222220389, + "loss": 0.5655, + "step": 12206 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012280181065904588, + "loss": 0.6127, + "step": 12207 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012279109882007492, + "loss": 0.6593, + "step": 12208 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012278038670525572, + "loss": 0.5687, + "step": 12209 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012276967431471792, + "loss": 0.6113, + "step": 12210 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001227589616485911, + "loss": 0.5871, + "step": 12211 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012274824870700502, + "loss": 0.7008, + "step": 12212 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001227375354900893, + "loss": 0.6078, + "step": 12213 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001227268219979736, + "loss": 0.585, + "step": 12214 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001227161082307876, + "loss": 0.5819, + "step": 12215 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012270539418866093, + "loss": 0.6386, + "step": 12216 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012269467987172336, + "loss": 0.5543, + "step": 12217 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012268396528010447, + "loss": 0.6777, + "step": 12218 + }, + { + "epoch": 0.43, + "learning_rate": 0.000122673250413934, + "loss": 0.6327, + "step": 12219 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012266253527334163, + "loss": 0.675, + "step": 12220 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012265181985845702, + "loss": 0.624, + "step": 12221 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012264110416940988, + "loss": 0.5262, + "step": 12222 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012263038820632994, + "loss": 0.6259, + "step": 12223 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012261967196934684, + "loss": 0.503, + "step": 12224 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001226089554585903, + "loss": 0.6129, + "step": 12225 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012259823867419002, + "loss": 0.7146, + "step": 12226 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012258752161627576, + "loss": 0.752, + "step": 12227 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001225768042849772, + "loss": 0.6592, + "step": 12228 + }, + { + "epoch": 0.43, + "learning_rate": 0.000122566086680424, + "loss": 0.6221, + "step": 12229 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012255536880274596, + "loss": 0.5678, + "step": 12230 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012254465065207276, + "loss": 0.6866, + "step": 12231 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012253393222853414, + "loss": 0.6009, + "step": 12232 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012252321353225983, + "loss": 0.7095, + "step": 12233 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012251249456337953, + "loss": 0.6511, + "step": 12234 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012250177532202304, + "loss": 0.6517, + "step": 12235 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012249105580832006, + "loss": 0.644, + "step": 12236 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001224803360224003, + "loss": 0.6523, + "step": 12237 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012246961596439358, + "loss": 0.5856, + "step": 12238 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012245889563442956, + "loss": 0.5911, + "step": 12239 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012244817503263806, + "loss": 0.7137, + "step": 12240 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012243745415914883, + "loss": 0.7824, + "step": 12241 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012242673301409156, + "loss": 0.701, + "step": 12242 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001224160115975961, + "loss": 0.6081, + "step": 12243 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012240528990979215, + "loss": 0.6884, + "step": 12244 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012239456795080955, + "loss": 0.7452, + "step": 12245 + }, + { + "epoch": 0.43, + "learning_rate": 0.000122383845720778, + "loss": 0.5508, + "step": 12246 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001223731232198273, + "loss": 0.6577, + "step": 12247 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012236240044808725, + "loss": 0.6043, + "step": 12248 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012235167740568757, + "loss": 0.6019, + "step": 12249 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001223409540927581, + "loss": 0.588, + "step": 12250 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012233023050942863, + "loss": 0.6913, + "step": 12251 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001223195066558289, + "loss": 0.6302, + "step": 12252 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001223087825320888, + "loss": 0.6401, + "step": 12253 + }, + { + "epoch": 0.43, + "learning_rate": 0.000122298058138338, + "loss": 0.6015, + "step": 12254 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001222873334747064, + "loss": 0.59, + "step": 12255 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001222766085413238, + "loss": 0.6429, + "step": 12256 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001222658833383199, + "loss": 0.7239, + "step": 12257 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012225515786582465, + "loss": 0.5291, + "step": 12258 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012224443212396777, + "loss": 0.5427, + "step": 12259 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012223370611287915, + "loss": 0.6728, + "step": 12260 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012222297983268855, + "loss": 0.737, + "step": 12261 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001222122532835258, + "loss": 0.7053, + "step": 12262 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012220152646552076, + "loss": 0.6737, + "step": 12263 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012219079937880322, + "loss": 0.5479, + "step": 12264 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012218007202350307, + "loss": 0.5816, + "step": 12265 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001221693443997501, + "loss": 0.6458, + "step": 12266 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012215861650767415, + "loss": 0.5882, + "step": 12267 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001221478883474051, + "loss": 0.5712, + "step": 12268 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012213715991907272, + "loss": 0.5931, + "step": 12269 + }, + { + "epoch": 0.43, + "learning_rate": 0.000122126431222807, + "loss": 0.6725, + "step": 12270 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012211570225873763, + "loss": 0.6046, + "step": 12271 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012210497302699456, + "loss": 0.5832, + "step": 12272 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012209424352770763, + "loss": 0.6558, + "step": 12273 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001220835137610067, + "loss": 0.5593, + "step": 12274 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012207278372702165, + "loss": 0.7066, + "step": 12275 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012206205342588235, + "loss": 0.5878, + "step": 12276 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012205132285771863, + "loss": 0.6291, + "step": 12277 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012204059202266043, + "loss": 0.6952, + "step": 12278 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012202986092083757, + "loss": 0.5402, + "step": 12279 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012201912955237996, + "loss": 0.6188, + "step": 12280 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001220083979174175, + "loss": 0.5766, + "step": 12281 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012199766601608003, + "loss": 0.5312, + "step": 12282 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012198693384849748, + "loss": 0.5972, + "step": 12283 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012197620141479977, + "loss": 0.6058, + "step": 12284 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012196546871511674, + "loss": 0.6643, + "step": 12285 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012195473574957835, + "loss": 0.5903, + "step": 12286 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012194400251831444, + "loss": 0.7084, + "step": 12287 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012193326902145495, + "loss": 0.5395, + "step": 12288 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001219225352591298, + "loss": 0.6432, + "step": 12289 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012191180123146889, + "loss": 0.6063, + "step": 12290 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012190106693860215, + "loss": 0.6044, + "step": 12291 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001218903323806595, + "loss": 0.6283, + "step": 12292 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012187959755777083, + "loss": 0.6214, + "step": 12293 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012186886247006613, + "loss": 0.6002, + "step": 12294 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012185812711767526, + "loss": 0.6186, + "step": 12295 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012184739150072821, + "loss": 0.594, + "step": 12296 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012183665561935491, + "loss": 0.6852, + "step": 12297 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012182591947368524, + "loss": 0.616, + "step": 12298 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012181518306384925, + "loss": 0.6083, + "step": 12299 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012180444638997677, + "loss": 0.5833, + "step": 12300 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012179370945219784, + "loss": 0.5999, + "step": 12301 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012178297225064237, + "loss": 0.5966, + "step": 12302 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012177223478544032, + "loss": 0.5482, + "step": 12303 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012176149705672164, + "loss": 0.6249, + "step": 12304 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012175075906461633, + "loss": 0.6706, + "step": 12305 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012174002080925431, + "loss": 0.707, + "step": 12306 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012172928229076559, + "loss": 0.61, + "step": 12307 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012171854350928007, + "loss": 0.5489, + "step": 12308 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012170780446492782, + "loss": 0.6547, + "step": 12309 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012169706515783878, + "loss": 0.6185, + "step": 12310 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001216863255881429, + "loss": 0.6957, + "step": 12311 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012167558575597025, + "loss": 0.6543, + "step": 12312 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012166484566145069, + "loss": 0.5872, + "step": 12313 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001216541053047143, + "loss": 0.5867, + "step": 12314 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012164336468589104, + "loss": 0.6103, + "step": 12315 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012163262380511094, + "loss": 0.5962, + "step": 12316 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012162188266250398, + "loss": 0.6309, + "step": 12317 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012161114125820015, + "loss": 0.6914, + "step": 12318 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012160039959232947, + "loss": 0.5867, + "step": 12319 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012158965766502195, + "loss": 0.6345, + "step": 12320 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012157891547640763, + "loss": 0.6166, + "step": 12321 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001215681730266165, + "loss": 0.783, + "step": 12322 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012155743031577854, + "loss": 0.7488, + "step": 12323 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012154668734402384, + "loss": 0.6661, + "step": 12324 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012153594411148239, + "loss": 0.5696, + "step": 12325 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012152520061828423, + "loss": 0.6313, + "step": 12326 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001215144568645594, + "loss": 0.5957, + "step": 12327 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012150371285043789, + "loss": 0.7006, + "step": 12328 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012149296857604982, + "loss": 0.5913, + "step": 12329 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012148222404152516, + "loss": 0.5886, + "step": 12330 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012147147924699398, + "loss": 0.6182, + "step": 12331 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012146073419258632, + "loss": 0.6413, + "step": 12332 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012144998887843225, + "loss": 0.5978, + "step": 12333 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001214392433046618, + "loss": 0.5981, + "step": 12334 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012142849747140508, + "loss": 0.6827, + "step": 12335 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012141775137879205, + "loss": 0.6435, + "step": 12336 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012140700502695288, + "loss": 0.5131, + "step": 12337 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012139625841601759, + "loss": 0.5559, + "step": 12338 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012138551154611622, + "loss": 0.7477, + "step": 12339 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012137476441737888, + "loss": 0.5808, + "step": 12340 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012136401702993563, + "loss": 0.5791, + "step": 12341 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012135326938391658, + "loss": 0.5391, + "step": 12342 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012134252147945177, + "loss": 0.5538, + "step": 12343 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012133177331667131, + "loss": 0.674, + "step": 12344 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012132102489570532, + "loss": 0.6209, + "step": 12345 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001213102762166838, + "loss": 0.6153, + "step": 12346 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012129952727973694, + "loss": 0.6303, + "step": 12347 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012128877808499479, + "loss": 0.5667, + "step": 12348 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012127802863258746, + "loss": 0.5594, + "step": 12349 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012126727892264505, + "loss": 0.6419, + "step": 12350 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012125652895529766, + "loss": 0.7427, + "step": 12351 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012124577873067544, + "loss": 0.7231, + "step": 12352 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012123502824890846, + "loss": 0.719, + "step": 12353 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012122427751012686, + "loss": 0.6762, + "step": 12354 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012121352651446074, + "loss": 0.631, + "step": 12355 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012120277526204024, + "loss": 0.5421, + "step": 12356 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012119202375299548, + "loss": 0.6131, + "step": 12357 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012118127198745661, + "loss": 0.6406, + "step": 12358 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012117051996555371, + "loss": 0.5362, + "step": 12359 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012115976768741697, + "loss": 0.4915, + "step": 12360 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001211490151531765, + "loss": 0.6084, + "step": 12361 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012113826236296244, + "loss": 0.6114, + "step": 12362 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012112750931690496, + "loss": 0.5928, + "step": 12363 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012111675601513415, + "loss": 0.5945, + "step": 12364 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012110600245778024, + "loss": 0.59, + "step": 12365 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012109524864497335, + "loss": 0.6207, + "step": 12366 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012108449457684359, + "loss": 0.6617, + "step": 12367 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012107374025352118, + "loss": 0.5902, + "step": 12368 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012106298567513628, + "loss": 0.6352, + "step": 12369 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012105223084181903, + "loss": 0.6409, + "step": 12370 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012104147575369961, + "loss": 0.5653, + "step": 12371 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001210307204109082, + "loss": 0.5922, + "step": 12372 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012101996481357495, + "loss": 0.5974, + "step": 12373 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012100920896183008, + "loss": 0.7087, + "step": 12374 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012099845285580373, + "loss": 0.5658, + "step": 12375 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012098769649562612, + "loss": 0.5318, + "step": 12376 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001209769398814274, + "loss": 0.5653, + "step": 12377 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001209661830133378, + "loss": 0.5659, + "step": 12378 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012095542589148749, + "loss": 0.5316, + "step": 12379 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012094466851600667, + "loss": 0.6735, + "step": 12380 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012093391088702557, + "loss": 0.601, + "step": 12381 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012092315300467431, + "loss": 0.6523, + "step": 12382 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012091239486908322, + "loss": 0.6264, + "step": 12383 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012090163648038237, + "loss": 0.5816, + "step": 12384 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001208908778387021, + "loss": 0.5875, + "step": 12385 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012088011894417255, + "loss": 0.6469, + "step": 12386 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012086935979692395, + "loss": 0.5704, + "step": 12387 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012085860039708654, + "loss": 0.5703, + "step": 12388 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012084784074479054, + "loss": 0.612, + "step": 12389 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012083708084016614, + "loss": 0.6275, + "step": 12390 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012082632068334363, + "loss": 0.5754, + "step": 12391 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001208155602744532, + "loss": 0.5915, + "step": 12392 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012080479961362511, + "loss": 0.5433, + "step": 12393 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012079403870098962, + "loss": 0.5945, + "step": 12394 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012078327753667691, + "loss": 0.5622, + "step": 12395 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012077251612081728, + "loss": 0.5995, + "step": 12396 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012076175445354095, + "loss": 0.7555, + "step": 12397 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012075099253497819, + "loss": 0.6816, + "step": 12398 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012074023036525926, + "loss": 0.5536, + "step": 12399 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012072946794451436, + "loss": 0.6534, + "step": 12400 + }, + { + "epoch": 0.43, + "eval_loss": 0.6013256311416626, + "eval_runtime": 843.9337, + "eval_samples_per_second": 28.509, + "eval_steps_per_second": 14.255, + "step": 12400 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012071870527287385, + "loss": 0.5996, + "step": 12401 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012070794235046789, + "loss": 0.5677, + "step": 12402 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012069717917742684, + "loss": 0.5642, + "step": 12403 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012068641575388094, + "loss": 0.5483, + "step": 12404 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012067565207996041, + "loss": 0.6752, + "step": 12405 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001206648881557956, + "loss": 0.5489, + "step": 12406 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012065412398151674, + "loss": 0.6934, + "step": 12407 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012064335955725415, + "loss": 0.5956, + "step": 12408 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012063259488313808, + "loss": 0.6727, + "step": 12409 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012062182995929882, + "loss": 0.5948, + "step": 12410 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001206110647858667, + "loss": 0.5937, + "step": 12411 + }, + { + "epoch": 0.43, + "learning_rate": 0.000120600299362972, + "loss": 0.6972, + "step": 12412 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012058953369074497, + "loss": 0.5402, + "step": 12413 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012057876776931597, + "loss": 0.5377, + "step": 12414 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012056800159881527, + "loss": 0.5663, + "step": 12415 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012055723517937321, + "loss": 0.5538, + "step": 12416 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012054646851112008, + "loss": 0.6482, + "step": 12417 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012053570159418615, + "loss": 0.5607, + "step": 12418 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012052493442870183, + "loss": 0.5155, + "step": 12419 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012051416701479734, + "loss": 0.5921, + "step": 12420 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012050339935260306, + "loss": 0.5666, + "step": 12421 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012049263144224932, + "loss": 0.6319, + "step": 12422 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012048186328386639, + "loss": 0.5766, + "step": 12423 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012047109487758468, + "loss": 0.5509, + "step": 12424 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012046032622353447, + "loss": 0.5854, + "step": 12425 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012044955732184609, + "loss": 0.5891, + "step": 12426 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012043878817264991, + "loss": 0.6242, + "step": 12427 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012042801877607625, + "loss": 0.6915, + "step": 12428 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001204172491322555, + "loss": 0.7383, + "step": 12429 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012040647924131796, + "loss": 0.6036, + "step": 12430 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012039570910339397, + "loss": 0.5493, + "step": 12431 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012038493871861395, + "loss": 0.7287, + "step": 12432 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001203741680871082, + "loss": 0.6428, + "step": 12433 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012036339720900711, + "loss": 0.6639, + "step": 12434 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012035262608444102, + "loss": 0.6106, + "step": 12435 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012034185471354032, + "loss": 0.5055, + "step": 12436 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012033108309643537, + "loss": 0.7158, + "step": 12437 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012032031123325656, + "loss": 0.6809, + "step": 12438 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012030953912413421, + "loss": 0.608, + "step": 12439 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012029876676919876, + "loss": 0.6115, + "step": 12440 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012028799416858054, + "loss": 0.6302, + "step": 12441 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012027722132241, + "loss": 0.6497, + "step": 12442 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012026644823081747, + "loss": 0.6135, + "step": 12443 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012025567489393335, + "loss": 0.639, + "step": 12444 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012024490131188806, + "loss": 0.6585, + "step": 12445 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012023412748481197, + "loss": 0.5928, + "step": 12446 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001202233534128355, + "loss": 0.7195, + "step": 12447 + }, + { + "epoch": 0.44, + "learning_rate": 0.000120212579096089, + "loss": 0.5767, + "step": 12448 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012020180453470296, + "loss": 0.6693, + "step": 12449 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012019102972880774, + "loss": 0.6351, + "step": 12450 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012018025467853373, + "loss": 0.6424, + "step": 12451 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012016947938401139, + "loss": 0.6129, + "step": 12452 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012015870384537109, + "loss": 0.5823, + "step": 12453 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012014792806274329, + "loss": 0.5313, + "step": 12454 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012013715203625841, + "loss": 0.623, + "step": 12455 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012012637576604684, + "loss": 0.5537, + "step": 12456 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012011559925223906, + "loss": 0.5211, + "step": 12457 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012010482249496546, + "loss": 0.6076, + "step": 12458 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012009404549435648, + "loss": 0.6894, + "step": 12459 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001200832682505426, + "loss": 0.6435, + "step": 12460 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012007249076365419, + "loss": 0.5652, + "step": 12461 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012006171303382174, + "loss": 0.5512, + "step": 12462 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012005093506117571, + "loss": 0.5764, + "step": 12463 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012004015684584651, + "loss": 0.6032, + "step": 12464 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001200293783879646, + "loss": 0.6192, + "step": 12465 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012001859968766045, + "loss": 0.532, + "step": 12466 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012000782074506451, + "loss": 0.6879, + "step": 12467 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011999704156030726, + "loss": 0.6004, + "step": 12468 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011998626213351913, + "loss": 0.535, + "step": 12469 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011997548246483064, + "loss": 0.5871, + "step": 12470 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011996470255437217, + "loss": 0.5326, + "step": 12471 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001199539224022743, + "loss": 0.6241, + "step": 12472 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011994314200866743, + "loss": 0.5814, + "step": 12473 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011993236137368204, + "loss": 0.5915, + "step": 12474 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011992158049744869, + "loss": 0.558, + "step": 12475 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011991079938009777, + "loss": 0.5534, + "step": 12476 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011990001802175981, + "loss": 0.6142, + "step": 12477 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011988923642256529, + "loss": 0.6227, + "step": 12478 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001198784545826447, + "loss": 0.6804, + "step": 12479 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011986767250212858, + "loss": 0.5173, + "step": 12480 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011985689018114738, + "loss": 0.6022, + "step": 12481 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011984610761983162, + "loss": 0.6597, + "step": 12482 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001198353248183118, + "loss": 0.6516, + "step": 12483 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001198245417767184, + "loss": 0.6231, + "step": 12484 + }, + { + "epoch": 0.44, + "learning_rate": 0.000119813758495182, + "loss": 0.6025, + "step": 12485 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011980297497383306, + "loss": 0.5962, + "step": 12486 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001197921912128021, + "loss": 0.6216, + "step": 12487 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011978140721221967, + "loss": 0.5548, + "step": 12488 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011977062297221627, + "loss": 0.6912, + "step": 12489 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011975983849292241, + "loss": 0.598, + "step": 12490 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011974905377446865, + "loss": 0.5492, + "step": 12491 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011973826881698549, + "loss": 0.5058, + "step": 12492 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011972748362060351, + "loss": 0.5719, + "step": 12493 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011971669818545321, + "loss": 0.6649, + "step": 12494 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011970591251166511, + "loss": 0.7074, + "step": 12495 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011969512659936981, + "loss": 0.5852, + "step": 12496 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011968434044869781, + "loss": 0.5522, + "step": 12497 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011967355405977967, + "loss": 0.6212, + "step": 12498 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011966276743274595, + "loss": 0.576, + "step": 12499 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011965198056772719, + "loss": 0.5477, + "step": 12500 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011964119346485399, + "loss": 0.5997, + "step": 12501 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011963040612425684, + "loss": 0.6097, + "step": 12502 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011961961854606636, + "loss": 0.5843, + "step": 12503 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011960883073041311, + "loss": 0.5512, + "step": 12504 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011959804267742761, + "loss": 0.6156, + "step": 12505 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011958725438724047, + "loss": 0.5289, + "step": 12506 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011957646585998227, + "loss": 0.7058, + "step": 12507 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011956567709578357, + "loss": 0.5973, + "step": 12508 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011955488809477495, + "loss": 0.6687, + "step": 12509 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011954409885708699, + "loss": 0.6829, + "step": 12510 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011953330938285032, + "loss": 0.6158, + "step": 12511 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011952251967219548, + "loss": 0.7242, + "step": 12512 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011951172972525306, + "loss": 0.5128, + "step": 12513 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011950093954215372, + "loss": 0.6389, + "step": 12514 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011949014912302794, + "loss": 0.6785, + "step": 12515 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011947935846800642, + "loss": 0.7175, + "step": 12516 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001194685675772197, + "loss": 0.6585, + "step": 12517 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011945777645079844, + "loss": 0.5332, + "step": 12518 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011944698508887322, + "loss": 0.6699, + "step": 12519 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011943619349157465, + "loss": 0.5187, + "step": 12520 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011942540165903335, + "loss": 0.5384, + "step": 12521 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011941460959137992, + "loss": 0.5275, + "step": 12522 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011940381728874502, + "loss": 0.7143, + "step": 12523 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011939302475125927, + "loss": 0.6175, + "step": 12524 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011938223197905323, + "loss": 0.6382, + "step": 12525 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011937143897225757, + "loss": 0.5625, + "step": 12526 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011936064573100297, + "loss": 0.6484, + "step": 12527 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011934985225541998, + "loss": 0.5775, + "step": 12528 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011933905854563929, + "loss": 0.554, + "step": 12529 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011932826460179152, + "loss": 0.6424, + "step": 12530 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011931747042400733, + "loss": 0.5552, + "step": 12531 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011930667601241736, + "loss": 0.5303, + "step": 12532 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011929588136715222, + "loss": 0.5764, + "step": 12533 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011928508648834262, + "loss": 0.6076, + "step": 12534 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011927429137611918, + "loss": 0.5544, + "step": 12535 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011926349603061258, + "loss": 0.643, + "step": 12536 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011925270045195344, + "loss": 0.633, + "step": 12537 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011924190464027245, + "loss": 0.6255, + "step": 12538 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001192311085957003, + "loss": 0.6614, + "step": 12539 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001192203123183676, + "loss": 0.7233, + "step": 12540 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011920951580840505, + "loss": 0.5795, + "step": 12541 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011919871906594335, + "loss": 0.6473, + "step": 12542 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011918792209111311, + "loss": 0.6024, + "step": 12543 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011917712488404508, + "loss": 0.593, + "step": 12544 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011916632744486993, + "loss": 0.5841, + "step": 12545 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011915552977371828, + "loss": 0.6113, + "step": 12546 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011914473187072092, + "loss": 0.5697, + "step": 12547 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011913393373600845, + "loss": 0.67, + "step": 12548 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011912313536971162, + "loss": 0.544, + "step": 12549 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001191123367719611, + "loss": 0.6128, + "step": 12550 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011910153794288757, + "loss": 0.7618, + "step": 12551 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001190907388826218, + "loss": 0.6278, + "step": 12552 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011907993959129439, + "loss": 0.5627, + "step": 12553 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011906914006903618, + "loss": 0.7947, + "step": 12554 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011905834031597777, + "loss": 0.5256, + "step": 12555 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011904754033224992, + "loss": 0.6428, + "step": 12556 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011903674011798334, + "loss": 0.5098, + "step": 12557 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011902593967330875, + "loss": 0.6334, + "step": 12558 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011901513899835686, + "loss": 0.5945, + "step": 12559 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011900433809325839, + "loss": 0.6119, + "step": 12560 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011899353695814408, + "loss": 0.6004, + "step": 12561 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001189827355931447, + "loss": 0.5737, + "step": 12562 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001189719339983909, + "loss": 0.6616, + "step": 12563 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011896113217401348, + "loss": 0.6184, + "step": 12564 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011895033012014314, + "loss": 0.6068, + "step": 12565 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011893952783691062, + "loss": 0.6681, + "step": 12566 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011892872532444673, + "loss": 0.6068, + "step": 12567 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011891792258288212, + "loss": 0.6487, + "step": 12568 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011890711961234759, + "loss": 0.6292, + "step": 12569 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011889631641297391, + "loss": 0.579, + "step": 12570 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011888551298489179, + "loss": 0.6559, + "step": 12571 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011887470932823202, + "loss": 0.6673, + "step": 12572 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011886390544312536, + "loss": 0.4938, + "step": 12573 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011885310132970253, + "loss": 0.6741, + "step": 12574 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011884229698809435, + "loss": 0.586, + "step": 12575 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011883149241843157, + "loss": 0.6649, + "step": 12576 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011882068762084495, + "loss": 0.512, + "step": 12577 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011880988259546528, + "loss": 0.5935, + "step": 12578 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001187990773424233, + "loss": 0.5646, + "step": 12579 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011878827186184985, + "loss": 0.5461, + "step": 12580 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011877746615387568, + "loss": 0.5853, + "step": 12581 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011876666021863156, + "loss": 0.5503, + "step": 12582 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011875585405624831, + "loss": 0.5478, + "step": 12583 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001187450476668567, + "loss": 0.6427, + "step": 12584 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011873424105058752, + "loss": 0.6604, + "step": 12585 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011872343420757157, + "loss": 0.7038, + "step": 12586 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011871262713793967, + "loss": 0.6161, + "step": 12587 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011870181984182258, + "loss": 0.6493, + "step": 12588 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011869101231935114, + "loss": 0.725, + "step": 12589 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011868020457065615, + "loss": 0.4973, + "step": 12590 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011866939659586842, + "loss": 0.5511, + "step": 12591 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011865858839511873, + "loss": 0.5656, + "step": 12592 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011864777996853795, + "loss": 0.6972, + "step": 12593 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011863697131625686, + "loss": 0.5641, + "step": 12594 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001186261624384063, + "loss": 0.6745, + "step": 12595 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011861535333511708, + "loss": 0.6877, + "step": 12596 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011860454400652001, + "loss": 0.5693, + "step": 12597 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011859373445274597, + "loss": 0.7513, + "step": 12598 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011858292467392575, + "loss": 0.6333, + "step": 12599 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001185721146701902, + "loss": 0.6382, + "step": 12600 + }, + { + "epoch": 0.44, + "eval_loss": 0.596328616142273, + "eval_runtime": 847.4761, + "eval_samples_per_second": 28.39, + "eval_steps_per_second": 14.195, + "step": 12600 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011856130444167018, + "loss": 0.5689, + "step": 12601 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011855049398849645, + "loss": 0.684, + "step": 12602 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011853968331079995, + "loss": 0.5794, + "step": 12603 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011852887240871145, + "loss": 0.5491, + "step": 12604 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011851806128236183, + "loss": 0.6143, + "step": 12605 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011850724993188196, + "loss": 0.6548, + "step": 12606 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011849643835740265, + "loss": 0.6031, + "step": 12607 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011848562655905479, + "loss": 0.5675, + "step": 12608 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011847481453696925, + "loss": 0.705, + "step": 12609 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011846400229127684, + "loss": 0.6088, + "step": 12610 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011845318982210847, + "loss": 0.709, + "step": 12611 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011844237712959496, + "loss": 0.5845, + "step": 12612 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011843156421386726, + "loss": 0.5424, + "step": 12613 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011842075107505617, + "loss": 0.7105, + "step": 12614 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011840993771329256, + "loss": 0.6286, + "step": 12615 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011839912412870737, + "loss": 0.5427, + "step": 12616 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011838831032143141, + "loss": 0.6359, + "step": 12617 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011837749629159562, + "loss": 0.5918, + "step": 12618 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011836668203933088, + "loss": 0.6062, + "step": 12619 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011835586756476805, + "loss": 0.5309, + "step": 12620 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011834505286803802, + "loss": 0.58, + "step": 12621 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011833423794927169, + "loss": 0.511, + "step": 12622 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001183234228086, + "loss": 0.576, + "step": 12623 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011831260744615382, + "loss": 0.5902, + "step": 12624 + }, + { + "epoch": 0.44, + "learning_rate": 0.000118301791862064, + "loss": 0.5883, + "step": 12625 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011829097605646153, + "loss": 0.5769, + "step": 12626 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011828016002947726, + "loss": 0.6831, + "step": 12627 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011826934378124212, + "loss": 0.5753, + "step": 12628 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011825852731188702, + "loss": 0.5887, + "step": 12629 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011824771062154287, + "loss": 0.6625, + "step": 12630 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011823689371034061, + "loss": 0.5972, + "step": 12631 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011822607657841114, + "loss": 0.6146, + "step": 12632 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011821525922588536, + "loss": 0.515, + "step": 12633 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011820444165289426, + "loss": 0.6321, + "step": 12634 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011819362385956871, + "loss": 0.7032, + "step": 12635 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011818280584603967, + "loss": 0.5638, + "step": 12636 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011817198761243808, + "loss": 0.6407, + "step": 12637 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011816116915889484, + "loss": 0.5649, + "step": 12638 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011815035048554095, + "loss": 0.6348, + "step": 12639 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001181395315925073, + "loss": 0.5777, + "step": 12640 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011812871247992483, + "loss": 0.6211, + "step": 12641 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011811789314792452, + "loss": 0.5829, + "step": 12642 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001181070735966373, + "loss": 0.6121, + "step": 12643 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011809625382619416, + "loss": 0.6749, + "step": 12644 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011808543383672602, + "loss": 0.6421, + "step": 12645 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001180746136283638, + "loss": 0.6935, + "step": 12646 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011806379320123855, + "loss": 0.5911, + "step": 12647 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011805297255548118, + "loss": 0.5871, + "step": 12648 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011804215169122266, + "loss": 0.5954, + "step": 12649 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011803133060859392, + "loss": 0.5839, + "step": 12650 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011802050930772604, + "loss": 0.6166, + "step": 12651 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001180096877887499, + "loss": 0.6757, + "step": 12652 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011799886605179648, + "loss": 0.5101, + "step": 12653 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011798804409699682, + "loss": 0.688, + "step": 12654 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011797722192448184, + "loss": 0.5233, + "step": 12655 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011796639953438255, + "loss": 0.6428, + "step": 12656 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011795557692682995, + "loss": 0.5806, + "step": 12657 + }, + { + "epoch": 0.44, + "learning_rate": 0.000117944754101955, + "loss": 0.5489, + "step": 12658 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011793393105988873, + "loss": 0.5863, + "step": 12659 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001179231078007621, + "loss": 0.5799, + "step": 12660 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011791228432470609, + "loss": 0.5308, + "step": 12661 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011790146063185176, + "loss": 0.6569, + "step": 12662 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011789063672233008, + "loss": 0.4754, + "step": 12663 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011787981259627205, + "loss": 0.6913, + "step": 12664 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011786898825380872, + "loss": 0.6485, + "step": 12665 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011785816369507102, + "loss": 0.6396, + "step": 12666 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011784733892019005, + "loss": 0.6556, + "step": 12667 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011783651392929673, + "loss": 0.5527, + "step": 12668 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011782568872252217, + "loss": 0.5527, + "step": 12669 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011781486329999737, + "loss": 0.6045, + "step": 12670 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011780403766185333, + "loss": 0.6086, + "step": 12671 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011779321180822107, + "loss": 0.6282, + "step": 12672 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011778238573923163, + "loss": 0.5609, + "step": 12673 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011777155945501608, + "loss": 0.6116, + "step": 12674 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001177607329557054, + "loss": 0.5391, + "step": 12675 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011774990624143063, + "loss": 0.6786, + "step": 12676 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011773907931232287, + "loss": 0.6569, + "step": 12677 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011772825216851309, + "loss": 0.5771, + "step": 12678 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011771742481013235, + "loss": 0.6114, + "step": 12679 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011770659723731172, + "loss": 0.5749, + "step": 12680 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011769576945018223, + "loss": 0.7011, + "step": 12681 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011768494144887496, + "loss": 0.6555, + "step": 12682 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011767411323352096, + "loss": 0.5618, + "step": 12683 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011766328480425124, + "loss": 0.5854, + "step": 12684 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011765245616119691, + "loss": 0.5376, + "step": 12685 + }, + { + "epoch": 0.44, + "learning_rate": 0.000117641627304489, + "loss": 0.5308, + "step": 12686 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011763079823425862, + "loss": 0.6689, + "step": 12687 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011761996895063681, + "loss": 0.5508, + "step": 12688 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001176091394537546, + "loss": 0.7222, + "step": 12689 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011759830974374315, + "loss": 0.5496, + "step": 12690 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011758747982073348, + "loss": 0.6217, + "step": 12691 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011757664968485667, + "loss": 0.6872, + "step": 12692 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011756581933624379, + "loss": 0.6456, + "step": 12693 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011755498877502596, + "loss": 0.5824, + "step": 12694 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011754415800133425, + "loss": 0.7001, + "step": 12695 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011753332701529973, + "loss": 0.6812, + "step": 12696 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001175224958170535, + "loss": 0.6009, + "step": 12697 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011751166440672669, + "loss": 0.5855, + "step": 12698 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011750083278445034, + "loss": 0.5952, + "step": 12699 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001174900009503556, + "loss": 0.6079, + "step": 12700 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011747916890457356, + "loss": 0.5719, + "step": 12701 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011746833664723527, + "loss": 0.6892, + "step": 12702 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011745750417847188, + "loss": 0.5976, + "step": 12703 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001174466714984145, + "loss": 0.4863, + "step": 12704 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011743583860719424, + "loss": 0.6554, + "step": 12705 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011742500550494224, + "loss": 0.647, + "step": 12706 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011741417219178954, + "loss": 0.57, + "step": 12707 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011740333866786735, + "loss": 0.6587, + "step": 12708 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011739250493330673, + "loss": 0.6681, + "step": 12709 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011738167098823883, + "loss": 0.6459, + "step": 12710 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011737083683279475, + "loss": 0.5447, + "step": 12711 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011736000246710565, + "loss": 0.5763, + "step": 12712 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011734916789130266, + "loss": 0.5502, + "step": 12713 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011733833310551692, + "loss": 0.6121, + "step": 12714 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011732749810987951, + "loss": 0.6658, + "step": 12715 + }, + { + "epoch": 0.44, + "learning_rate": 0.00011731666290452165, + "loss": 0.6587, + "step": 12716 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011730582748957444, + "loss": 0.5775, + "step": 12717 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011729499186516901, + "loss": 0.5776, + "step": 12718 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011728415603143655, + "loss": 0.5525, + "step": 12719 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011727331998850817, + "loss": 0.6578, + "step": 12720 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011726248373651505, + "loss": 0.6756, + "step": 12721 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001172516472755883, + "loss": 0.6394, + "step": 12722 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011724081060585914, + "loss": 0.5917, + "step": 12723 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001172299737274587, + "loss": 0.5944, + "step": 12724 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011721913664051813, + "loss": 0.6677, + "step": 12725 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011720829934516864, + "loss": 0.6181, + "step": 12726 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011719746184154132, + "loss": 0.6559, + "step": 12727 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001171866241297674, + "loss": 0.6185, + "step": 12728 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011717578620997805, + "loss": 0.6024, + "step": 12729 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001171649480823044, + "loss": 0.6419, + "step": 12730 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001171541097468777, + "loss": 0.5697, + "step": 12731 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011714327120382906, + "loss": 0.668, + "step": 12732 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011713243245328973, + "loss": 0.5253, + "step": 12733 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011712159349539082, + "loss": 0.5839, + "step": 12734 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011711075433026357, + "loss": 0.528, + "step": 12735 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011709991495803915, + "loss": 0.5826, + "step": 12736 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011708907537884877, + "loss": 0.5231, + "step": 12737 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001170782355928236, + "loss": 0.715, + "step": 12738 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011706739560009486, + "loss": 0.647, + "step": 12739 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011705655540079373, + "loss": 0.571, + "step": 12740 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011704571499505142, + "loss": 0.5844, + "step": 12741 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011703487438299914, + "loss": 0.6747, + "step": 12742 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001170240335647681, + "loss": 0.636, + "step": 12743 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001170131925404895, + "loss": 0.5088, + "step": 12744 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011700235131029455, + "loss": 0.5913, + "step": 12745 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011699150987431449, + "loss": 0.5024, + "step": 12746 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011698066823268053, + "loss": 0.6222, + "step": 12747 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011696982638552382, + "loss": 0.5937, + "step": 12748 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011695898433297573, + "loss": 0.5626, + "step": 12749 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011694814207516731, + "loss": 0.6456, + "step": 12750 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011693729961222995, + "loss": 0.6091, + "step": 12751 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011692645694429476, + "loss": 0.4453, + "step": 12752 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011691561407149302, + "loss": 0.5272, + "step": 12753 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011690477099395598, + "loss": 0.6757, + "step": 12754 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011689392771181485, + "loss": 0.6458, + "step": 12755 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001168830842252009, + "loss": 0.5851, + "step": 12756 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011687224053424533, + "loss": 0.5986, + "step": 12757 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001168613966390794, + "loss": 0.5923, + "step": 12758 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011685055253983437, + "loss": 0.5736, + "step": 12759 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001168397082366415, + "loss": 0.5815, + "step": 12760 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011682886372963199, + "loss": 0.5654, + "step": 12761 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011681801901893719, + "loss": 0.5667, + "step": 12762 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011680717410468825, + "loss": 0.6094, + "step": 12763 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011679632898701649, + "loss": 0.6616, + "step": 12764 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011678548366605317, + "loss": 0.6154, + "step": 12765 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011677463814192952, + "loss": 0.594, + "step": 12766 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011676379241477687, + "loss": 0.6405, + "step": 12767 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011675294648472639, + "loss": 0.6174, + "step": 12768 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011674210035190947, + "loss": 0.6964, + "step": 12769 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001167312540164573, + "loss": 0.6427, + "step": 12770 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001167204074785012, + "loss": 0.5629, + "step": 12771 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001167095607381724, + "loss": 0.5903, + "step": 12772 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011669871379560224, + "loss": 0.5588, + "step": 12773 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011668786665092197, + "loss": 0.6172, + "step": 12774 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011667701930426291, + "loss": 0.5736, + "step": 12775 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011666617175575629, + "loss": 0.6509, + "step": 12776 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011665532400553345, + "loss": 0.4729, + "step": 12777 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011664447605372569, + "loss": 0.5723, + "step": 12778 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011663362790046425, + "loss": 0.6412, + "step": 12779 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001166227795458805, + "loss": 0.6877, + "step": 12780 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011661193099010566, + "loss": 0.6198, + "step": 12781 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011660108223327113, + "loss": 0.5015, + "step": 12782 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011659023327550816, + "loss": 0.549, + "step": 12783 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011657938411694804, + "loss": 0.5936, + "step": 12784 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011656853475772211, + "loss": 0.6306, + "step": 12785 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011655768519796169, + "loss": 0.6155, + "step": 12786 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011654683543779808, + "loss": 0.7039, + "step": 12787 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011653598547736259, + "loss": 0.6333, + "step": 12788 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011652513531678657, + "loss": 0.5451, + "step": 12789 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011651428495620134, + "loss": 0.6627, + "step": 12790 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011650343439573819, + "loss": 0.5873, + "step": 12791 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011649258363552846, + "loss": 0.602, + "step": 12792 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011648173267570353, + "loss": 0.7259, + "step": 12793 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011647088151639464, + "loss": 0.5045, + "step": 12794 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011646003015773324, + "loss": 0.5798, + "step": 12795 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011644917859985054, + "loss": 0.5578, + "step": 12796 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011643832684287801, + "loss": 0.5994, + "step": 12797 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011642747488694689, + "loss": 0.5599, + "step": 12798 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011641662273218856, + "loss": 0.5476, + "step": 12799 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011640577037873442, + "loss": 0.6659, + "step": 12800 + }, + { + "epoch": 0.45, + "eval_loss": 0.5907775163650513, + "eval_runtime": 843.7438, + "eval_samples_per_second": 28.516, + "eval_steps_per_second": 14.258, + "step": 12800 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001163949178267157, + "loss": 0.6075, + "step": 12801 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011638406507626387, + "loss": 0.5991, + "step": 12802 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011637321212751025, + "loss": 0.666, + "step": 12803 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011636235898058614, + "loss": 0.5898, + "step": 12804 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011635150563562296, + "loss": 0.5062, + "step": 12805 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011634065209275204, + "loss": 0.6074, + "step": 12806 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011632979835210478, + "loss": 0.5765, + "step": 12807 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011631894441381254, + "loss": 0.625, + "step": 12808 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011630809027800664, + "loss": 0.6008, + "step": 12809 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011629723594481852, + "loss": 0.5918, + "step": 12810 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011628638141437951, + "loss": 0.5836, + "step": 12811 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011627552668682095, + "loss": 0.5942, + "step": 12812 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011626467176227432, + "loss": 0.6041, + "step": 12813 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011625381664087092, + "loss": 0.6616, + "step": 12814 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011624296132274214, + "loss": 0.5588, + "step": 12815 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011623210580801944, + "loss": 0.6009, + "step": 12816 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001162212500968341, + "loss": 0.5721, + "step": 12817 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011621039418931758, + "loss": 0.5194, + "step": 12818 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011619953808560123, + "loss": 0.5558, + "step": 12819 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001161886817858165, + "loss": 0.5374, + "step": 12820 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011617782529009475, + "loss": 0.5235, + "step": 12821 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011616696859856737, + "loss": 0.5855, + "step": 12822 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001161561117113658, + "loss": 0.6241, + "step": 12823 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011614525462862138, + "loss": 0.576, + "step": 12824 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011613439735046561, + "loss": 0.5669, + "step": 12825 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011612353987702984, + "loss": 0.5891, + "step": 12826 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011611268220844547, + "loss": 0.5686, + "step": 12827 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011610182434484395, + "loss": 0.6404, + "step": 12828 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011609096628635667, + "loss": 0.5118, + "step": 12829 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011608010803311506, + "loss": 0.6439, + "step": 12830 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011606924958525055, + "loss": 0.6109, + "step": 12831 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011605839094289455, + "loss": 0.6209, + "step": 12832 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011604753210617849, + "loss": 0.6629, + "step": 12833 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001160366730752338, + "loss": 0.6734, + "step": 12834 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011602581385019188, + "loss": 0.5331, + "step": 12835 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011601495443118424, + "loss": 0.5579, + "step": 12836 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011600409481834222, + "loss": 0.5691, + "step": 12837 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011599323501179735, + "loss": 0.6583, + "step": 12838 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011598237501168101, + "loss": 0.5821, + "step": 12839 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011597151481812463, + "loss": 0.5545, + "step": 12840 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011596065443125969, + "loss": 0.6348, + "step": 12841 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011594979385121764, + "loss": 0.555, + "step": 12842 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011593893307812991, + "loss": 0.5697, + "step": 12843 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011592807211212797, + "loss": 0.6719, + "step": 12844 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011591721095334322, + "loss": 0.5442, + "step": 12845 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011590634960190721, + "loss": 0.7256, + "step": 12846 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011589548805795134, + "loss": 0.6399, + "step": 12847 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011588462632160704, + "loss": 0.5455, + "step": 12848 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011587376439300586, + "loss": 0.5233, + "step": 12849 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011586290227227919, + "loss": 0.6024, + "step": 12850 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011585203995955853, + "loss": 0.4831, + "step": 12851 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011584117745497533, + "loss": 0.6703, + "step": 12852 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011583031475866109, + "loss": 0.611, + "step": 12853 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011581945187074728, + "loss": 0.7277, + "step": 12854 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011580858879136534, + "loss": 0.5128, + "step": 12855 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001157977255206468, + "loss": 0.5916, + "step": 12856 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011578686205872312, + "loss": 0.4531, + "step": 12857 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011577599840572578, + "loss": 0.621, + "step": 12858 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011576513456178629, + "loss": 0.5675, + "step": 12859 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011575427052703607, + "loss": 0.6535, + "step": 12860 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011574340630160669, + "loss": 0.6638, + "step": 12861 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011573254188562963, + "loss": 0.5962, + "step": 12862 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011572167727923635, + "loss": 0.5781, + "step": 12863 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011571081248255837, + "loss": 0.6697, + "step": 12864 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011569994749572719, + "loss": 0.5857, + "step": 12865 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011568908231887432, + "loss": 0.6611, + "step": 12866 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011567821695213125, + "loss": 0.545, + "step": 12867 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011566735139562947, + "loss": 0.5649, + "step": 12868 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011565648564950053, + "loss": 0.5688, + "step": 12869 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011564561971387591, + "loss": 0.6366, + "step": 12870 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011563475358888719, + "loss": 0.6302, + "step": 12871 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011562388727466578, + "loss": 0.5511, + "step": 12872 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011561302077134326, + "loss": 0.6125, + "step": 12873 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011560215407905115, + "loss": 0.6617, + "step": 12874 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011559128719792096, + "loss": 0.5694, + "step": 12875 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011558042012808423, + "loss": 0.6432, + "step": 12876 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001155695528696725, + "loss": 0.7421, + "step": 12877 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011555868542281725, + "loss": 0.6715, + "step": 12878 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011554781778765005, + "loss": 0.5206, + "step": 12879 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011553694996430244, + "loss": 0.5376, + "step": 12880 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001155260819529059, + "loss": 0.5471, + "step": 12881 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011551521375359206, + "loss": 0.5398, + "step": 12882 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001155043453664924, + "loss": 0.5699, + "step": 12883 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011549347679173847, + "loss": 0.6493, + "step": 12884 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011548260802946185, + "loss": 0.5524, + "step": 12885 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011547173907979402, + "loss": 0.6034, + "step": 12886 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011546086994286663, + "loss": 0.6685, + "step": 12887 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001154500006188111, + "loss": 0.6476, + "step": 12888 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011543913110775912, + "loss": 0.576, + "step": 12889 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001154282614098422, + "loss": 0.5539, + "step": 12890 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011541739152519185, + "loss": 0.5712, + "step": 12891 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011540652145393967, + "loss": 0.5346, + "step": 12892 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011539565119621725, + "loss": 0.636, + "step": 12893 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011538478075215609, + "loss": 0.6356, + "step": 12894 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011537391012188783, + "loss": 0.644, + "step": 12895 + }, + { + "epoch": 0.45, + "learning_rate": 0.000115363039305544, + "loss": 0.5916, + "step": 12896 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011535216830325617, + "loss": 0.526, + "step": 12897 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011534129711515596, + "loss": 0.6181, + "step": 12898 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011533042574137488, + "loss": 0.574, + "step": 12899 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011531955418204456, + "loss": 0.6131, + "step": 12900 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011530868243729656, + "loss": 0.526, + "step": 12901 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011529781050726249, + "loss": 0.5655, + "step": 12902 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011528693839207392, + "loss": 0.5944, + "step": 12903 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011527606609186241, + "loss": 0.5636, + "step": 12904 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001152651936067596, + "loss": 0.6227, + "step": 12905 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011525432093689703, + "loss": 0.6104, + "step": 12906 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011524344808240636, + "loss": 0.5997, + "step": 12907 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011523257504341918, + "loss": 0.5896, + "step": 12908 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011522170182006701, + "loss": 0.598, + "step": 12909 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011521082841248155, + "loss": 0.6571, + "step": 12910 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011519995482079434, + "loss": 0.5175, + "step": 12911 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011518908104513699, + "loss": 0.5794, + "step": 12912 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011517820708564116, + "loss": 0.5337, + "step": 12913 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001151673329424384, + "loss": 0.7244, + "step": 12914 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011515645861566037, + "loss": 0.614, + "step": 12915 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011514558410543867, + "loss": 0.5743, + "step": 12916 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001151347094119049, + "loss": 0.5715, + "step": 12917 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011512383453519074, + "loss": 0.6302, + "step": 12918 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011511295947542773, + "loss": 0.6228, + "step": 12919 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011510208423274754, + "loss": 0.6745, + "step": 12920 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011509120880728177, + "loss": 0.5934, + "step": 12921 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001150803331991621, + "loss": 0.5524, + "step": 12922 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011506945740852011, + "loss": 0.5686, + "step": 12923 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011505858143548743, + "loss": 0.5394, + "step": 12924 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011504770528019575, + "loss": 0.4777, + "step": 12925 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011503682894277666, + "loss": 0.6435, + "step": 12926 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011502595242336182, + "loss": 0.5211, + "step": 12927 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011501507572208288, + "loss": 0.6517, + "step": 12928 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011500419883907145, + "loss": 0.5472, + "step": 12929 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011499332177445921, + "loss": 0.7196, + "step": 12930 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001149824445283778, + "loss": 0.6436, + "step": 12931 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011497156710095884, + "loss": 0.6362, + "step": 12932 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011496068949233405, + "loss": 0.6726, + "step": 12933 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011494981170263501, + "loss": 0.566, + "step": 12934 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011493893373199345, + "loss": 0.5814, + "step": 12935 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011492805558054098, + "loss": 0.5628, + "step": 12936 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011491717724840927, + "loss": 0.5715, + "step": 12937 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011490629873573, + "loss": 0.5805, + "step": 12938 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001148954200426348, + "loss": 0.5912, + "step": 12939 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001148845411692554, + "loss": 0.5915, + "step": 12940 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011487366211572344, + "loss": 0.4961, + "step": 12941 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011486278288217054, + "loss": 0.6125, + "step": 12942 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011485190346872845, + "loss": 0.6056, + "step": 12943 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011484102387552884, + "loss": 0.5249, + "step": 12944 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011483014410270335, + "loss": 0.5559, + "step": 12945 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011481926415038367, + "loss": 0.5859, + "step": 12946 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011480838401870148, + "loss": 0.5651, + "step": 12947 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011479750370778852, + "loss": 0.5968, + "step": 12948 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011478662321777643, + "loss": 0.6223, + "step": 12949 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011477574254879689, + "loss": 0.5353, + "step": 12950 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011476486170098163, + "loss": 0.5899, + "step": 12951 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011475398067446231, + "loss": 0.6772, + "step": 12952 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011474309946937066, + "loss": 0.5326, + "step": 12953 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011473221808583835, + "loss": 0.5633, + "step": 12954 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011472133652399708, + "loss": 0.6052, + "step": 12955 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011471045478397859, + "loss": 0.5332, + "step": 12956 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011469957286591453, + "loss": 0.6707, + "step": 12957 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011468869076993666, + "loss": 0.7251, + "step": 12958 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011467780849617669, + "loss": 0.6786, + "step": 12959 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011466692604476625, + "loss": 0.5721, + "step": 12960 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011465604341583715, + "loss": 0.6401, + "step": 12961 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011464516060952108, + "loss": 0.5912, + "step": 12962 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011463427762594974, + "loss": 0.5636, + "step": 12963 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011462339446525486, + "loss": 0.6019, + "step": 12964 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011461251112756812, + "loss": 0.5331, + "step": 12965 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011460162761302134, + "loss": 0.5765, + "step": 12966 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011459074392174618, + "loss": 0.7175, + "step": 12967 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011457986005387435, + "loss": 0.6447, + "step": 12968 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011456897600953764, + "loss": 0.5318, + "step": 12969 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011455809178886774, + "loss": 0.6926, + "step": 12970 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011454720739199643, + "loss": 0.6339, + "step": 12971 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001145363228190554, + "loss": 0.5624, + "step": 12972 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001145254380701764, + "loss": 0.7537, + "step": 12973 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011451455314549117, + "loss": 0.5827, + "step": 12974 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011450366804513149, + "loss": 0.6008, + "step": 12975 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011449278276922906, + "loss": 0.5414, + "step": 12976 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011448189731791568, + "loss": 0.6814, + "step": 12977 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011447101169132302, + "loss": 0.5111, + "step": 12978 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011446012588958291, + "loss": 0.5467, + "step": 12979 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011444923991282707, + "loss": 0.6178, + "step": 12980 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011443835376118726, + "loss": 0.5164, + "step": 12981 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011442746743479524, + "loss": 0.6049, + "step": 12982 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011441658093378275, + "loss": 0.5199, + "step": 12983 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001144056942582816, + "loss": 0.6465, + "step": 12984 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011439480740842354, + "loss": 0.7175, + "step": 12985 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011438392038434032, + "loss": 0.6192, + "step": 12986 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011437303318616371, + "loss": 0.6306, + "step": 12987 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011436214581402547, + "loss": 0.6317, + "step": 12988 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011435125826805739, + "loss": 0.5454, + "step": 12989 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011434037054839127, + "loss": 0.5404, + "step": 12990 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011432948265515884, + "loss": 0.5512, + "step": 12991 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011431859458849193, + "loss": 0.6626, + "step": 12992 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011430770634852226, + "loss": 0.5866, + "step": 12993 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011429681793538167, + "loss": 0.5764, + "step": 12994 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011428592934920195, + "loss": 0.5745, + "step": 12995 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011427504059011482, + "loss": 0.6191, + "step": 12996 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011426415165825212, + "loss": 0.627, + "step": 12997 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011425326255374565, + "loss": 0.5406, + "step": 12998 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011424237327672718, + "loss": 0.5204, + "step": 12999 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011423148382732853, + "loss": 0.6608, + "step": 13000 + }, + { + "epoch": 0.45, + "eval_loss": 0.5851190090179443, + "eval_runtime": 845.7966, + "eval_samples_per_second": 28.447, + "eval_steps_per_second": 14.223, + "step": 13000 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011422059420568147, + "loss": 0.6121, + "step": 13001 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011420970441191782, + "loss": 0.6125, + "step": 13002 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001141988144461694, + "loss": 0.5762, + "step": 13003 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011418792430856797, + "loss": 0.5368, + "step": 13004 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001141770339992454, + "loss": 0.51, + "step": 13005 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011416614351833341, + "loss": 0.5421, + "step": 13006 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011415525286596389, + "loss": 0.5453, + "step": 13007 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001141443620422686, + "loss": 0.701, + "step": 13008 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011413347104737939, + "loss": 0.5803, + "step": 13009 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011412257988142809, + "loss": 0.6744, + "step": 13010 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011411168854454648, + "loss": 0.6085, + "step": 13011 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001141007970368664, + "loss": 0.6354, + "step": 13012 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011408990535851967, + "loss": 0.6221, + "step": 13013 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001140790135096381, + "loss": 0.5313, + "step": 13014 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011406812149035358, + "loss": 0.5352, + "step": 13015 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011405722930079783, + "loss": 0.5452, + "step": 13016 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011404633694110281, + "loss": 0.5719, + "step": 13017 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011403544441140026, + "loss": 0.644, + "step": 13018 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011402455171182205, + "loss": 0.5567, + "step": 13019 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011401365884250001, + "loss": 0.5975, + "step": 13020 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011400276580356597, + "loss": 0.6583, + "step": 13021 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001139918725951518, + "loss": 0.5042, + "step": 13022 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011398097921738935, + "loss": 0.583, + "step": 13023 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001139700856704104, + "loss": 0.5484, + "step": 13024 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001139591919543469, + "loss": 0.4963, + "step": 13025 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011394829806933061, + "loss": 0.5967, + "step": 13026 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011393740401549344, + "loss": 0.667, + "step": 13027 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011392650979296722, + "loss": 0.5892, + "step": 13028 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011391561540188379, + "loss": 0.5235, + "step": 13029 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011390472084237502, + "loss": 0.6565, + "step": 13030 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011389382611457282, + "loss": 0.5884, + "step": 13031 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011388293121860896, + "loss": 0.609, + "step": 13032 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011387203615461539, + "loss": 0.5884, + "step": 13033 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001138611409227239, + "loss": 0.633, + "step": 13034 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011385024552306644, + "loss": 0.6291, + "step": 13035 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011383934995577483, + "loss": 0.7102, + "step": 13036 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011382845422098095, + "loss": 0.5228, + "step": 13037 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011381755831881666, + "loss": 0.5666, + "step": 13038 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011380666224941388, + "loss": 0.6008, + "step": 13039 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011379576601290445, + "loss": 0.4714, + "step": 13040 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011378486960942027, + "loss": 0.7826, + "step": 13041 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011377397303909321, + "loss": 0.6261, + "step": 13042 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011376307630205516, + "loss": 0.5641, + "step": 13043 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011375217939843803, + "loss": 0.6333, + "step": 13044 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011374128232837365, + "loss": 0.5934, + "step": 13045 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011373038509199399, + "loss": 0.6545, + "step": 13046 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011371948768943086, + "loss": 0.536, + "step": 13047 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011370859012081623, + "loss": 0.6223, + "step": 13048 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011369769238628194, + "loss": 0.6112, + "step": 13049 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011368679448595991, + "loss": 0.6716, + "step": 13050 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011367589641998207, + "loss": 0.5503, + "step": 13051 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011366499818848024, + "loss": 0.6407, + "step": 13052 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011365409979158646, + "loss": 0.6084, + "step": 13053 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001136432012294325, + "loss": 0.5448, + "step": 13054 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011363230250215036, + "loss": 0.6985, + "step": 13055 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001136214036098719, + "loss": 0.6148, + "step": 13056 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011361050455272902, + "loss": 0.689, + "step": 13057 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001135996053308537, + "loss": 0.5054, + "step": 13058 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011358870594437781, + "loss": 0.7287, + "step": 13059 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001135778063934333, + "loss": 0.5765, + "step": 13060 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011356690667815206, + "loss": 0.6141, + "step": 13061 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011355600679866601, + "loss": 0.6556, + "step": 13062 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001135451067551071, + "loss": 0.5577, + "step": 13063 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011353420654760727, + "loss": 0.6892, + "step": 13064 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011352330617629839, + "loss": 0.5814, + "step": 13065 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011351240564131243, + "loss": 0.6213, + "step": 13066 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011350150494278131, + "loss": 0.4958, + "step": 13067 + }, + { + "epoch": 0.46, + "learning_rate": 0.000113490604080837, + "loss": 0.5623, + "step": 13068 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011347970305561142, + "loss": 0.6407, + "step": 13069 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011346880186723645, + "loss": 0.6012, + "step": 13070 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011345790051584413, + "loss": 0.6908, + "step": 13071 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011344699900156632, + "loss": 0.5745, + "step": 13072 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011343609732453502, + "loss": 0.5434, + "step": 13073 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011342519548488215, + "loss": 0.543, + "step": 13074 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011341429348273964, + "loss": 0.4854, + "step": 13075 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011340339131823949, + "loss": 0.5781, + "step": 13076 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001133924889915136, + "loss": 0.6434, + "step": 13077 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011338158650269398, + "loss": 0.5916, + "step": 13078 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011337068385191254, + "loss": 0.6622, + "step": 13079 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011335978103930125, + "loss": 0.6012, + "step": 13080 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011334887806499208, + "loss": 0.5717, + "step": 13081 + }, + { + "epoch": 0.46, + "learning_rate": 0.000113337974929117, + "loss": 0.5248, + "step": 13082 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011332707163180793, + "loss": 0.6872, + "step": 13083 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001133161681731969, + "loss": 0.7026, + "step": 13084 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011330526455341584, + "loss": 0.6266, + "step": 13085 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011329436077259672, + "loss": 0.6193, + "step": 13086 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011328345683087152, + "loss": 0.6027, + "step": 13087 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011327255272837221, + "loss": 0.566, + "step": 13088 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011326164846523077, + "loss": 0.6394, + "step": 13089 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011325074404157916, + "loss": 0.6042, + "step": 13090 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011323983945754942, + "loss": 0.6069, + "step": 13091 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011322893471327348, + "loss": 0.5704, + "step": 13092 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011321802980888328, + "loss": 0.6524, + "step": 13093 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011320712474451089, + "loss": 0.6373, + "step": 13094 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011319621952028829, + "loss": 0.615, + "step": 13095 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011318531413634741, + "loss": 0.5531, + "step": 13096 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011317440859282029, + "loss": 0.5661, + "step": 13097 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001131635028898389, + "loss": 0.609, + "step": 13098 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011315259702753527, + "loss": 0.5372, + "step": 13099 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011314169100604135, + "loss": 0.5704, + "step": 13100 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011313078482548915, + "loss": 0.6499, + "step": 13101 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011311987848601071, + "loss": 0.5966, + "step": 13102 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011310897198773798, + "loss": 0.5399, + "step": 13103 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011309806533080303, + "loss": 0.5981, + "step": 13104 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001130871585153378, + "loss": 0.6043, + "step": 13105 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011307625154147432, + "loss": 0.6332, + "step": 13106 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011306534440934465, + "loss": 0.4995, + "step": 13107 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001130544371190807, + "loss": 0.5624, + "step": 13108 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011304352967081457, + "loss": 0.707, + "step": 13109 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011303262206467829, + "loss": 0.6326, + "step": 13110 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011302171430080377, + "loss": 0.5949, + "step": 13111 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011301080637932316, + "loss": 0.5762, + "step": 13112 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001129998983003684, + "loss": 0.5253, + "step": 13113 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011298899006407151, + "loss": 0.6926, + "step": 13114 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011297808167056456, + "loss": 0.626, + "step": 13115 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011296717311997955, + "loss": 0.5907, + "step": 13116 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011295626441244855, + "loss": 0.7046, + "step": 13117 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011294535554810354, + "loss": 0.6844, + "step": 13118 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011293444652707659, + "loss": 0.5554, + "step": 13119 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011292353734949972, + "loss": 0.567, + "step": 13120 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011291262801550495, + "loss": 0.5556, + "step": 13121 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011290171852522435, + "loss": 0.5725, + "step": 13122 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011289080887878993, + "loss": 0.7006, + "step": 13123 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011287989907633378, + "loss": 0.6029, + "step": 13124 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001128689891179879, + "loss": 0.5877, + "step": 13125 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011285807900388436, + "loss": 0.6491, + "step": 13126 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011284716873415521, + "loss": 0.5358, + "step": 13127 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011283625830893247, + "loss": 0.517, + "step": 13128 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011282534772834824, + "loss": 0.5469, + "step": 13129 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011281443699253453, + "loss": 0.6533, + "step": 13130 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011280352610162342, + "loss": 0.5895, + "step": 13131 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011279261505574699, + "loss": 0.5047, + "step": 13132 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011278170385503726, + "loss": 0.6368, + "step": 13133 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011277079249962627, + "loss": 0.5336, + "step": 13134 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011275988098964617, + "loss": 0.6468, + "step": 13135 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011274896932522894, + "loss": 0.67, + "step": 13136 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001127380575065067, + "loss": 0.6677, + "step": 13137 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001127271455336115, + "loss": 0.6063, + "step": 13138 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011271623340667541, + "loss": 0.6822, + "step": 13139 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011270532112583052, + "loss": 0.5908, + "step": 13140 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011269440869120886, + "loss": 0.4942, + "step": 13141 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011268349610294256, + "loss": 0.7542, + "step": 13142 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011267258336116369, + "loss": 0.7171, + "step": 13143 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011266167046600429, + "loss": 0.5798, + "step": 13144 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001126507574175965, + "loss": 0.6347, + "step": 13145 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011263984421607236, + "loss": 0.6205, + "step": 13146 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011262893086156396, + "loss": 0.6248, + "step": 13147 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011261801735420343, + "loss": 0.7124, + "step": 13148 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001126071036941228, + "loss": 0.6283, + "step": 13149 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011259618988145419, + "loss": 0.5669, + "step": 13150 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011258527591632972, + "loss": 0.5286, + "step": 13151 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011257436179888143, + "loss": 0.6011, + "step": 13152 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011256344752924146, + "loss": 0.5553, + "step": 13153 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011255253310754188, + "loss": 0.637, + "step": 13154 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011254161853391483, + "loss": 0.6807, + "step": 13155 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011253070380849238, + "loss": 0.5265, + "step": 13156 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011251978893140662, + "loss": 0.5729, + "step": 13157 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011250887390278972, + "loss": 0.5808, + "step": 13158 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011249795872277371, + "loss": 0.5386, + "step": 13159 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011248704339149077, + "loss": 0.5351, + "step": 13160 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011247612790907298, + "loss": 0.5481, + "step": 13161 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011246521227565243, + "loss": 0.6206, + "step": 13162 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011245429649136128, + "loss": 0.5623, + "step": 13163 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011244338055633161, + "loss": 0.5785, + "step": 13164 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011243246447069556, + "loss": 0.5587, + "step": 13165 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011242154823458527, + "loss": 0.585, + "step": 13166 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011241063184813279, + "loss": 0.6131, + "step": 13167 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011239971531147033, + "loss": 0.5157, + "step": 13168 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011238879862473, + "loss": 0.6121, + "step": 13169 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011237788178804385, + "loss": 0.5387, + "step": 13170 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011236696480154412, + "loss": 0.6182, + "step": 13171 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011235604766536285, + "loss": 0.5519, + "step": 13172 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011234513037963226, + "loss": 0.5387, + "step": 13173 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011233421294448443, + "loss": 0.636, + "step": 13174 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011232329536005148, + "loss": 0.5874, + "step": 13175 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001123123776264656, + "loss": 0.6172, + "step": 13176 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001123014597438589, + "loss": 0.5103, + "step": 13177 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011229054171236352, + "loss": 0.6532, + "step": 13178 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011227962353211166, + "loss": 0.6308, + "step": 13179 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011226870520323538, + "loss": 0.6103, + "step": 13180 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011225778672586689, + "loss": 0.4752, + "step": 13181 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011224686810013832, + "loss": 0.626, + "step": 13182 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001122359493261818, + "loss": 0.6465, + "step": 13183 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011222503040412952, + "loss": 0.605, + "step": 13184 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011221411133411362, + "loss": 0.5195, + "step": 13185 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011220319211626624, + "loss": 0.6366, + "step": 13186 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011219227275071959, + "loss": 0.6428, + "step": 13187 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001121813532376058, + "loss": 0.5597, + "step": 13188 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011217043357705701, + "loss": 0.5653, + "step": 13189 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001121595137692054, + "loss": 0.5581, + "step": 13190 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011214859381418314, + "loss": 0.4973, + "step": 13191 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011213767371212239, + "loss": 0.6457, + "step": 13192 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011212675346315536, + "loss": 0.5403, + "step": 13193 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011211583306741416, + "loss": 0.6242, + "step": 13194 + }, + { + "epoch": 0.46, + "learning_rate": 0.000112104912525031, + "loss": 0.6017, + "step": 13195 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011209399183613804, + "loss": 0.5455, + "step": 13196 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001120830710008675, + "loss": 0.7306, + "step": 13197 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011207215001935147, + "loss": 0.5629, + "step": 13198 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011206122889172221, + "loss": 0.5773, + "step": 13199 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011205030761811186, + "loss": 0.6864, + "step": 13200 + }, + { + "epoch": 0.46, + "eval_loss": 0.5793399214744568, + "eval_runtime": 848.2239, + "eval_samples_per_second": 28.365, + "eval_steps_per_second": 14.183, + "step": 13200 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011203938619865266, + "loss": 0.5297, + "step": 13201 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011202846463347673, + "loss": 0.5666, + "step": 13202 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011201754292271627, + "loss": 0.6346, + "step": 13203 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011200662106650348, + "loss": 0.5696, + "step": 13204 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011199569906497056, + "loss": 0.5319, + "step": 13205 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001119847769182497, + "loss": 0.6567, + "step": 13206 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001119738546264731, + "loss": 0.5587, + "step": 13207 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011196293218977292, + "loss": 0.567, + "step": 13208 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011195200960828139, + "loss": 0.5777, + "step": 13209 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001119410868821307, + "loss": 0.4592, + "step": 13210 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011193016401145304, + "loss": 0.5355, + "step": 13211 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011191924099638067, + "loss": 0.7052, + "step": 13212 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011190831783704569, + "loss": 0.5495, + "step": 13213 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011189739453358044, + "loss": 0.5566, + "step": 13214 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011188647108611703, + "loss": 0.5486, + "step": 13215 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011187554749478766, + "loss": 0.6267, + "step": 13216 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011186462375972462, + "loss": 0.6141, + "step": 13217 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011185369988106005, + "loss": 0.5928, + "step": 13218 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011184277585892622, + "loss": 0.643, + "step": 13219 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011183185169345534, + "loss": 0.684, + "step": 13220 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011182092738477959, + "loss": 0.5114, + "step": 13221 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011181000293303121, + "loss": 0.5004, + "step": 13222 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011179907833834242, + "loss": 0.4771, + "step": 13223 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001117881536008455, + "loss": 0.7435, + "step": 13224 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011177722872067258, + "loss": 0.6671, + "step": 13225 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011176630369795593, + "loss": 0.5285, + "step": 13226 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011175537853282781, + "loss": 0.5664, + "step": 13227 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001117444532254204, + "loss": 0.6354, + "step": 13228 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011173352777586599, + "loss": 0.5932, + "step": 13229 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011172260218429676, + "loss": 0.6052, + "step": 13230 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011171167645084495, + "loss": 0.6062, + "step": 13231 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011170075057564285, + "loss": 0.6624, + "step": 13232 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011168982455882264, + "loss": 0.5505, + "step": 13233 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011167889840051657, + "loss": 0.6812, + "step": 13234 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011166797210085694, + "loss": 0.5895, + "step": 13235 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011165704565997593, + "loss": 0.5844, + "step": 13236 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011164611907800582, + "loss": 0.6609, + "step": 13237 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011163519235507884, + "loss": 0.5262, + "step": 13238 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011162426549132723, + "loss": 0.5853, + "step": 13239 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011161333848688329, + "loss": 0.6805, + "step": 13240 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011160241134187921, + "loss": 0.6384, + "step": 13241 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001115914840564473, + "loss": 0.5674, + "step": 13242 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001115805566307198, + "loss": 0.646, + "step": 13243 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011156962906482893, + "loss": 0.5018, + "step": 13244 + }, + { + "epoch": 0.46, + "learning_rate": 0.000111558701358907, + "loss": 0.5018, + "step": 13245 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011154777351308627, + "loss": 0.5578, + "step": 13246 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011153684552749895, + "loss": 0.5562, + "step": 13247 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011152591740227738, + "loss": 0.5377, + "step": 13248 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011151498913755375, + "loss": 0.5624, + "step": 13249 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001115040607334604, + "loss": 0.7483, + "step": 13250 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011149313219012955, + "loss": 0.5667, + "step": 13251 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001114822035076935, + "loss": 0.6565, + "step": 13252 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011147127468628449, + "loss": 0.6721, + "step": 13253 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011146034572603483, + "loss": 0.5998, + "step": 13254 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011144941662707681, + "loss": 0.5414, + "step": 13255 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011143848738954265, + "loss": 0.5795, + "step": 13256 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011142755801356468, + "loss": 0.5841, + "step": 13257 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011141662849927517, + "loss": 0.6511, + "step": 13258 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011140569884680636, + "loss": 0.6957, + "step": 13259 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001113947690562906, + "loss": 0.6079, + "step": 13260 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011138383912786015, + "loss": 0.5516, + "step": 13261 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001113729090616473, + "loss": 0.5289, + "step": 13262 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011136197885778435, + "loss": 0.4997, + "step": 13263 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011135104851640354, + "loss": 0.5652, + "step": 13264 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011134011803763724, + "loss": 0.583, + "step": 13265 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011132918742161773, + "loss": 0.5129, + "step": 13266 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011131825666847724, + "loss": 0.622, + "step": 13267 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011130732577834814, + "loss": 0.5802, + "step": 13268 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011129639475136269, + "loss": 0.6555, + "step": 13269 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011128546358765324, + "loss": 0.5816, + "step": 13270 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011127453228735203, + "loss": 0.6134, + "step": 13271 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001112636008505914, + "loss": 0.5247, + "step": 13272 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011125266927750367, + "loss": 0.5297, + "step": 13273 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011124173756822111, + "loss": 0.6082, + "step": 13274 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011123080572287608, + "loss": 0.571, + "step": 13275 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011121987374160083, + "loss": 0.6312, + "step": 13276 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011120894162452772, + "loss": 0.6045, + "step": 13277 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011119800937178906, + "loss": 0.5576, + "step": 13278 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011118707698351714, + "loss": 0.4863, + "step": 13279 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011117614445984432, + "loss": 0.5402, + "step": 13280 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011116521180090289, + "loss": 0.5749, + "step": 13281 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011115427900682518, + "loss": 0.5878, + "step": 13282 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001111433460777435, + "loss": 0.7085, + "step": 13283 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011113241301379021, + "loss": 0.5547, + "step": 13284 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011112147981509757, + "loss": 0.5683, + "step": 13285 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011111054648179799, + "loss": 0.5933, + "step": 13286 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011109961301402374, + "loss": 0.5509, + "step": 13287 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011108867941190719, + "loss": 0.5723, + "step": 13288 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011107774567558067, + "loss": 0.5902, + "step": 13289 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011106681180517646, + "loss": 0.5935, + "step": 13290 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011105587780082695, + "loss": 0.5468, + "step": 13291 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011104494366266446, + "loss": 0.6168, + "step": 13292 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011103400939082135, + "loss": 0.4754, + "step": 13293 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011102307498542996, + "loss": 0.5885, + "step": 13294 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011101214044662258, + "loss": 0.5923, + "step": 13295 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011100120577453161, + "loss": 0.6325, + "step": 13296 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011099027096928938, + "loss": 0.6318, + "step": 13297 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011097933603102823, + "loss": 0.6545, + "step": 13298 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011096840095988053, + "loss": 0.631, + "step": 13299 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011095746575597859, + "loss": 0.5084, + "step": 13300 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001109465304194548, + "loss": 0.5439, + "step": 13301 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001109355949504415, + "loss": 0.5732, + "step": 13302 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011092465934907104, + "loss": 0.6647, + "step": 13303 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011091372361547581, + "loss": 0.6115, + "step": 13304 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001109027877497881, + "loss": 0.4879, + "step": 13305 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011089185175214037, + "loss": 0.6011, + "step": 13306 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011088091562266492, + "loss": 0.4683, + "step": 13307 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011086997936149408, + "loss": 0.6576, + "step": 13308 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011085904296876028, + "loss": 0.5511, + "step": 13309 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011084810644459585, + "loss": 0.6452, + "step": 13310 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011083716978913319, + "loss": 0.5959, + "step": 13311 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011082623300250463, + "loss": 0.575, + "step": 13312 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011081529608484256, + "loss": 0.7195, + "step": 13313 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011080435903627938, + "loss": 0.6202, + "step": 13314 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011079342185694743, + "loss": 0.5924, + "step": 13315 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011078248454697908, + "loss": 0.5615, + "step": 13316 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011077154710650675, + "loss": 0.5779, + "step": 13317 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011076060953566276, + "loss": 0.5668, + "step": 13318 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011074967183457957, + "loss": 0.5648, + "step": 13319 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011073873400338948, + "loss": 0.5923, + "step": 13320 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011072779604222492, + "loss": 0.6322, + "step": 13321 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011071685795121829, + "loss": 0.674, + "step": 13322 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011070591973050193, + "loss": 0.5796, + "step": 13323 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011069498138020827, + "loss": 0.5694, + "step": 13324 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011068404290046965, + "loss": 0.6777, + "step": 13325 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011067310429141852, + "loss": 0.5676, + "step": 13326 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011066216555318727, + "loss": 0.5731, + "step": 13327 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011065122668590824, + "loss": 0.5972, + "step": 13328 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011064028768971389, + "loss": 0.5419, + "step": 13329 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011062934856473655, + "loss": 0.5369, + "step": 13330 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011061840931110869, + "loss": 0.6581, + "step": 13331 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011060746992896269, + "loss": 0.4667, + "step": 13332 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011059653041843092, + "loss": 0.6602, + "step": 13333 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011058559077964582, + "loss": 0.6255, + "step": 13334 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001105746510127398, + "loss": 0.5942, + "step": 13335 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011056371111784522, + "loss": 0.5463, + "step": 13336 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011055277109509454, + "loss": 0.5622, + "step": 13337 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011054183094462014, + "loss": 0.6051, + "step": 13338 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011053089066655447, + "loss": 0.4944, + "step": 13339 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011051995026102993, + "loss": 0.5246, + "step": 13340 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011050900972817888, + "loss": 0.5834, + "step": 13341 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001104980690681338, + "loss": 0.5652, + "step": 13342 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011048712828102708, + "loss": 0.4724, + "step": 13343 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011047618736699116, + "loss": 0.6876, + "step": 13344 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011046524632615847, + "loss": 0.6461, + "step": 13345 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011045430515866137, + "loss": 0.6435, + "step": 13346 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011044336386463237, + "loss": 0.5994, + "step": 13347 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011043242244420385, + "loss": 0.5809, + "step": 13348 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011042148089750821, + "loss": 0.6527, + "step": 13349 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011041053922467794, + "loss": 0.6107, + "step": 13350 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011039959742584542, + "loss": 0.5817, + "step": 13351 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011038865550114314, + "loss": 0.5502, + "step": 13352 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001103777134507035, + "loss": 0.6745, + "step": 13353 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011036677127465889, + "loss": 0.5974, + "step": 13354 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011035582897314181, + "loss": 0.6242, + "step": 13355 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011034488654628468, + "loss": 0.5808, + "step": 13356 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011033394399421994, + "loss": 0.5807, + "step": 13357 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011032300131708004, + "loss": 0.6248, + "step": 13358 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011031205851499737, + "loss": 0.5696, + "step": 13359 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011030111558810448, + "loss": 0.5199, + "step": 13360 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011029017253653371, + "loss": 0.5376, + "step": 13361 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011027922936041757, + "loss": 0.5926, + "step": 13362 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011026828605988849, + "loss": 0.5041, + "step": 13363 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001102573426350789, + "loss": 0.6768, + "step": 13364 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011024639908612129, + "loss": 0.4949, + "step": 13365 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001102354554131481, + "loss": 0.6497, + "step": 13366 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011022451161629175, + "loss": 0.5373, + "step": 13367 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011021356769568476, + "loss": 0.5648, + "step": 13368 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011020262365145952, + "loss": 0.6372, + "step": 13369 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011019167948374855, + "loss": 0.4925, + "step": 13370 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001101807351926843, + "loss": 0.5234, + "step": 13371 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011016979077839918, + "loss": 0.6976, + "step": 13372 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001101588462410257, + "loss": 0.5396, + "step": 13373 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011014790158069632, + "loss": 0.5366, + "step": 13374 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011013695679754353, + "loss": 0.5622, + "step": 13375 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011012601189169975, + "loss": 0.5775, + "step": 13376 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011011506686329745, + "loss": 0.5784, + "step": 13377 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011010412171246915, + "loss": 0.6091, + "step": 13378 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001100931764393473, + "loss": 0.5982, + "step": 13379 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011008223104406434, + "loss": 0.6417, + "step": 13380 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001100712855267528, + "loss": 0.6164, + "step": 13381 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011006033988754514, + "loss": 0.5966, + "step": 13382 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011004939412657383, + "loss": 0.6458, + "step": 13383 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011003844824397134, + "loss": 0.5629, + "step": 13384 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011002750223987014, + "loss": 0.658, + "step": 13385 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011001655611440278, + "loss": 0.5554, + "step": 13386 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011000560986770167, + "loss": 0.4935, + "step": 13387 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010999466349989935, + "loss": 0.5704, + "step": 13388 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010998371701112828, + "loss": 0.6432, + "step": 13389 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010997277040152096, + "loss": 0.6071, + "step": 13390 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010996182367120989, + "loss": 0.6232, + "step": 13391 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001099508768203275, + "loss": 0.5692, + "step": 13392 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010993992984900634, + "loss": 0.5541, + "step": 13393 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001099289827573789, + "loss": 0.6477, + "step": 13394 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010991803554557768, + "loss": 0.5744, + "step": 13395 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010990708821373519, + "loss": 0.6114, + "step": 13396 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010989614076198385, + "loss": 0.6534, + "step": 13397 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010988519319045628, + "loss": 0.5509, + "step": 13398 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001098742454992849, + "loss": 0.5912, + "step": 13399 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010986329768860219, + "loss": 0.6046, + "step": 13400 + }, + { + "epoch": 0.47, + "eval_loss": 0.5748456716537476, + "eval_runtime": 845.4805, + "eval_samples_per_second": 28.457, + "eval_steps_per_second": 14.229, + "step": 13400 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010985234975854075, + "loss": 0.503, + "step": 13401 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010984140170923301, + "loss": 0.5551, + "step": 13402 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010983045354081151, + "loss": 0.4956, + "step": 13403 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010981950525340879, + "loss": 0.5699, + "step": 13404 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010980855684715726, + "loss": 0.5388, + "step": 13405 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010979760832218953, + "loss": 0.5158, + "step": 13406 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010978665967863806, + "loss": 0.6551, + "step": 13407 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010977571091663541, + "loss": 0.4845, + "step": 13408 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010976476203631407, + "loss": 0.6738, + "step": 13409 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010975381303780654, + "loss": 0.5851, + "step": 13410 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010974286392124538, + "loss": 0.6353, + "step": 13411 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010973191468676306, + "loss": 0.6091, + "step": 13412 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010972096533449217, + "loss": 0.6079, + "step": 13413 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010971001586456517, + "loss": 0.6257, + "step": 13414 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001096990662771146, + "loss": 0.4808, + "step": 13415 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010968811657227303, + "loss": 0.6515, + "step": 13416 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010967716675017294, + "loss": 0.6572, + "step": 13417 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010966621681094684, + "loss": 0.6599, + "step": 13418 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010965526675472735, + "loss": 0.5496, + "step": 13419 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010964431658164689, + "loss": 0.6154, + "step": 13420 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010963336629183809, + "loss": 0.5473, + "step": 13421 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010962241588543345, + "loss": 0.6173, + "step": 13422 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010961146536256548, + "loss": 0.5655, + "step": 13423 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010960051472336676, + "loss": 0.4905, + "step": 13424 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010958956396796977, + "loss": 0.5874, + "step": 13425 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010957861309650714, + "loss": 0.6035, + "step": 13426 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010956766210911133, + "loss": 0.6594, + "step": 13427 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010955671100591493, + "loss": 0.5173, + "step": 13428 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010954575978705046, + "loss": 0.5231, + "step": 13429 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010953480845265047, + "loss": 0.651, + "step": 13430 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010952385700284753, + "loss": 0.4995, + "step": 13431 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001095129054377742, + "loss": 0.654, + "step": 13432 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010950195375756294, + "loss": 0.5596, + "step": 13433 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010949100196234641, + "loss": 0.6297, + "step": 13434 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010948005005225713, + "loss": 0.5755, + "step": 13435 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001094690980274276, + "loss": 0.5298, + "step": 13436 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010945814588799044, + "loss": 0.6382, + "step": 13437 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010944719363407816, + "loss": 0.5881, + "step": 13438 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010943624126582337, + "loss": 0.5181, + "step": 13439 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010942528878335863, + "loss": 0.5514, + "step": 13440 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010941433618681643, + "loss": 0.6743, + "step": 13441 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010940338347632941, + "loss": 0.6638, + "step": 13442 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010939243065203008, + "loss": 0.6144, + "step": 13443 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010938147771405104, + "loss": 0.5719, + "step": 13444 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010937052466252487, + "loss": 0.6065, + "step": 13445 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010935957149758409, + "loss": 0.5766, + "step": 13446 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010934861821936131, + "loss": 0.5847, + "step": 13447 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010933766482798909, + "loss": 0.5473, + "step": 13448 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010932671132359997, + "loss": 0.6244, + "step": 13449 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010931575770632659, + "loss": 0.5315, + "step": 13450 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010930480397630145, + "loss": 0.5508, + "step": 13451 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010929385013365718, + "loss": 0.6597, + "step": 13452 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010928289617852636, + "loss": 0.6105, + "step": 13453 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010927194211104153, + "loss": 0.6699, + "step": 13454 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001092609879313353, + "loss": 0.4949, + "step": 13455 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010925003363954025, + "loss": 0.5392, + "step": 13456 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010923907923578898, + "loss": 0.5417, + "step": 13457 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010922812472021402, + "loss": 0.697, + "step": 13458 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010921717009294801, + "loss": 0.6435, + "step": 13459 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001092062153541235, + "loss": 0.5734, + "step": 13460 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001091952605038731, + "loss": 0.5048, + "step": 13461 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001091843055423294, + "loss": 0.6051, + "step": 13462 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010917335046962495, + "loss": 0.6676, + "step": 13463 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010916239528589245, + "loss": 0.6562, + "step": 13464 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010915143999126438, + "loss": 0.5089, + "step": 13465 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010914048458587338, + "loss": 0.5514, + "step": 13466 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010912952906985207, + "loss": 0.6827, + "step": 13467 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010911857344333303, + "loss": 0.7268, + "step": 13468 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010910761770644881, + "loss": 0.5542, + "step": 13469 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001090966618593321, + "loss": 0.6107, + "step": 13470 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010908570590211542, + "loss": 0.5809, + "step": 13471 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010907474983493144, + "loss": 0.5381, + "step": 13472 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010906379365791276, + "loss": 0.5836, + "step": 13473 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001090528373711919, + "loss": 0.5213, + "step": 13474 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010904188097490158, + "loss": 0.5573, + "step": 13475 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010903092446917431, + "loss": 0.4617, + "step": 13476 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010901996785414281, + "loss": 0.5198, + "step": 13477 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001090090111299396, + "loss": 0.5725, + "step": 13478 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010899805429669732, + "loss": 0.5197, + "step": 13479 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001089870973545486, + "loss": 0.6361, + "step": 13480 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010897614030362604, + "loss": 0.561, + "step": 13481 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010896518314406225, + "loss": 0.5827, + "step": 13482 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001089542258759899, + "loss": 0.595, + "step": 13483 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001089432684995415, + "loss": 0.72, + "step": 13484 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001089323110148498, + "loss": 0.6275, + "step": 13485 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010892135342204735, + "loss": 0.7014, + "step": 13486 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010891039572126676, + "loss": 0.5753, + "step": 13487 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001088994379126407, + "loss": 0.6381, + "step": 13488 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010888847999630176, + "loss": 0.7195, + "step": 13489 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010887752197238259, + "loss": 0.6634, + "step": 13490 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010886656384101584, + "loss": 0.5663, + "step": 13491 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010885560560233406, + "loss": 0.6473, + "step": 13492 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010884464725646997, + "loss": 0.5823, + "step": 13493 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010883368880355614, + "loss": 0.5455, + "step": 13494 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010882273024372524, + "loss": 0.6165, + "step": 13495 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010881177157710991, + "loss": 0.5967, + "step": 13496 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010880081280384273, + "loss": 0.5738, + "step": 13497 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010878985392405643, + "loss": 0.543, + "step": 13498 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010877889493788357, + "loss": 0.5955, + "step": 13499 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010876793584545679, + "loss": 0.5627, + "step": 13500 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001087569766469088, + "loss": 0.6178, + "step": 13501 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010874601734237217, + "loss": 0.5704, + "step": 13502 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010873505793197963, + "loss": 0.5436, + "step": 13503 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010872409841586373, + "loss": 0.5257, + "step": 13504 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010871313879415714, + "loss": 0.6629, + "step": 13505 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010870217906699256, + "loss": 0.5391, + "step": 13506 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010869121923450259, + "loss": 0.5654, + "step": 13507 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001086802592968199, + "loss": 0.5193, + "step": 13508 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010866929925407714, + "loss": 0.5685, + "step": 13509 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010865833910640695, + "loss": 0.7103, + "step": 13510 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010864737885394201, + "loss": 0.5939, + "step": 13511 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010863641849681494, + "loss": 0.598, + "step": 13512 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010862545803515842, + "loss": 0.6164, + "step": 13513 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010861449746910512, + "loss": 0.4972, + "step": 13514 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010860353679878767, + "loss": 0.5626, + "step": 13515 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010859257602433876, + "loss": 0.4851, + "step": 13516 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010858161514589105, + "loss": 0.5744, + "step": 13517 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010857065416357715, + "loss": 0.6076, + "step": 13518 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001085596930775298, + "loss": 0.5629, + "step": 13519 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010854873188788159, + "loss": 0.5328, + "step": 13520 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010853777059476527, + "loss": 0.5986, + "step": 13521 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010852680919831346, + "loss": 0.5942, + "step": 13522 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010851584769865881, + "loss": 0.6095, + "step": 13523 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010850488609593406, + "loss": 0.631, + "step": 13524 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001084939243902718, + "loss": 0.5747, + "step": 13525 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010848296258180475, + "loss": 0.5206, + "step": 13526 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010847200067066556, + "loss": 0.4797, + "step": 13527 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010846103865698696, + "loss": 0.6702, + "step": 13528 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010845007654090155, + "loss": 0.6404, + "step": 13529 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010843911432254206, + "loss": 0.4972, + "step": 13530 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010842815200204115, + "loss": 0.5433, + "step": 13531 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001084171895795315, + "loss": 0.5594, + "step": 13532 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010840622705514582, + "loss": 0.5742, + "step": 13533 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010839526442901675, + "loss": 0.6407, + "step": 13534 + }, + { + "epoch": 0.47, + "learning_rate": 0.000108384301701277, + "loss": 0.5744, + "step": 13535 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010837333887205927, + "loss": 0.6358, + "step": 13536 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010836237594149621, + "loss": 0.5338, + "step": 13537 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010835141290972053, + "loss": 0.5831, + "step": 13538 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001083404497768649, + "loss": 0.6018, + "step": 13539 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010832948654306204, + "loss": 0.4805, + "step": 13540 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010831852320844462, + "loss": 0.4976, + "step": 13541 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010830755977314535, + "loss": 0.6393, + "step": 13542 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010829659623729692, + "loss": 0.5812, + "step": 13543 + }, + { + "epoch": 0.47, + "learning_rate": 0.000108285632601032, + "loss": 0.6132, + "step": 13544 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010827466886448329, + "loss": 0.5095, + "step": 13545 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010826370502778354, + "loss": 0.538, + "step": 13546 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001082527410910654, + "loss": 0.5635, + "step": 13547 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010824177705446157, + "loss": 0.5315, + "step": 13548 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010823081291810479, + "loss": 0.6254, + "step": 13549 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010821984868212774, + "loss": 0.5176, + "step": 13550 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010820888434666307, + "loss": 0.5256, + "step": 13551 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010819791991184358, + "loss": 0.5924, + "step": 13552 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010818695537780192, + "loss": 0.5932, + "step": 13553 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010817599074467082, + "loss": 0.602, + "step": 13554 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010816502601258296, + "loss": 0.593, + "step": 13555 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010815406118167107, + "loss": 0.5147, + "step": 13556 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010814309625206786, + "loss": 0.5467, + "step": 13557 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010813213122390604, + "loss": 0.4887, + "step": 13558 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010812116609731834, + "loss": 0.6753, + "step": 13559 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010811020087243746, + "loss": 0.589, + "step": 13560 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010809923554939607, + "loss": 0.5885, + "step": 13561 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010808827012832699, + "loss": 0.5144, + "step": 13562 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010807730460936283, + "loss": 0.5043, + "step": 13563 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010806633899263639, + "loss": 0.5891, + "step": 13564 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010805537327828036, + "loss": 0.6741, + "step": 13565 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010804440746642743, + "loss": 0.519, + "step": 13566 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001080334415572104, + "loss": 0.5821, + "step": 13567 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010802247555076193, + "loss": 0.5622, + "step": 13568 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010801150944721474, + "loss": 0.5292, + "step": 13569 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001080005432467016, + "loss": 0.6245, + "step": 13570 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001079895769493552, + "loss": 0.6041, + "step": 13571 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010797861055530831, + "loss": 0.5077, + "step": 13572 + }, + { + "epoch": 0.47, + "learning_rate": 0.00010796764406469365, + "loss": 0.5216, + "step": 13573 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010795667747764388, + "loss": 0.5689, + "step": 13574 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010794571079429183, + "loss": 0.5487, + "step": 13575 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010793474401477018, + "loss": 0.4944, + "step": 13576 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001079237771392117, + "loss": 0.5862, + "step": 13577 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010791281016774908, + "loss": 0.5716, + "step": 13578 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010790184310051507, + "loss": 0.5708, + "step": 13579 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010789087593764246, + "loss": 0.5582, + "step": 13580 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001078799086792639, + "loss": 0.5385, + "step": 13581 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010786894132551221, + "loss": 0.594, + "step": 13582 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001078579738765201, + "loss": 0.6865, + "step": 13583 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010784700633242029, + "loss": 0.6619, + "step": 13584 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010783603869334555, + "loss": 0.6485, + "step": 13585 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010782507095942865, + "loss": 0.5444, + "step": 13586 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010781410313080227, + "loss": 0.5261, + "step": 13587 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010780313520759921, + "loss": 0.6697, + "step": 13588 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010779216718995218, + "loss": 0.4987, + "step": 13589 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010778119907799398, + "loss": 0.4849, + "step": 13590 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010777023087185734, + "loss": 0.5705, + "step": 13591 + }, + { + "epoch": 0.48, + "learning_rate": 0.000107759262571675, + "loss": 0.6073, + "step": 13592 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010774829417757973, + "loss": 0.6648, + "step": 13593 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010773732568970423, + "loss": 0.664, + "step": 13594 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010772635710818133, + "loss": 0.6358, + "step": 13595 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010771538843314373, + "loss": 0.5497, + "step": 13596 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010770441966472422, + "loss": 0.5998, + "step": 13597 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010769345080305556, + "loss": 0.6103, + "step": 13598 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010768248184827048, + "loss": 0.5571, + "step": 13599 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010767151280050179, + "loss": 0.5331, + "step": 13600 + }, + { + "epoch": 0.48, + "eval_loss": 0.5691545009613037, + "eval_runtime": 853.2104, + "eval_samples_per_second": 28.199, + "eval_steps_per_second": 14.1, + "step": 13600 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001076605436598822, + "loss": 0.5365, + "step": 13601 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010764957442654448, + "loss": 0.5327, + "step": 13602 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010763860510062145, + "loss": 0.5871, + "step": 13603 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010762763568224579, + "loss": 0.5505, + "step": 13604 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010761666617155034, + "loss": 0.6023, + "step": 13605 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010760569656866786, + "loss": 0.6605, + "step": 13606 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010759472687373105, + "loss": 0.6413, + "step": 13607 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010758375708687276, + "loss": 0.5934, + "step": 13608 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010757278720822572, + "loss": 0.5848, + "step": 13609 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010756181723792272, + "loss": 0.5283, + "step": 13610 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010755084717609651, + "loss": 0.5453, + "step": 13611 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010753987702287989, + "loss": 0.4971, + "step": 13612 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010752890677840564, + "loss": 0.6002, + "step": 13613 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010751793644280647, + "loss": 0.6057, + "step": 13614 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010750696601621526, + "loss": 0.66, + "step": 13615 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010749599549876472, + "loss": 0.6077, + "step": 13616 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010748502489058763, + "loss": 0.7188, + "step": 13617 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010747405419181681, + "loss": 0.5677, + "step": 13618 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010746308340258502, + "loss": 0.6069, + "step": 13619 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010745211252302502, + "loss": 0.5331, + "step": 13620 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010744114155326965, + "loss": 0.5815, + "step": 13621 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010743017049345163, + "loss": 0.5324, + "step": 13622 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010741919934370378, + "loss": 0.5303, + "step": 13623 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010740822810415893, + "loss": 0.547, + "step": 13624 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010739725677494979, + "loss": 0.5178, + "step": 13625 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010738628535620918, + "loss": 0.6632, + "step": 13626 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001073753138480699, + "loss": 0.643, + "step": 13627 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010736434225066474, + "loss": 0.5441, + "step": 13628 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001073533705641265, + "loss": 0.5804, + "step": 13629 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010734239878858796, + "loss": 0.5827, + "step": 13630 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010733142692418193, + "loss": 0.6546, + "step": 13631 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010732045497104116, + "loss": 0.5394, + "step": 13632 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001073094829292985, + "loss": 0.6336, + "step": 13633 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010729851079908675, + "loss": 0.6014, + "step": 13634 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010728753858053867, + "loss": 0.6816, + "step": 13635 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010727656627378708, + "loss": 0.5735, + "step": 13636 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001072655938789648, + "loss": 0.5837, + "step": 13637 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010725462139620459, + "loss": 0.5614, + "step": 13638 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010724364882563928, + "loss": 0.5461, + "step": 13639 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010723267616740168, + "loss": 0.5284, + "step": 13640 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010722170342162461, + "loss": 0.5754, + "step": 13641 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010721073058844084, + "loss": 0.5098, + "step": 13642 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010719975766798318, + "loss": 0.6345, + "step": 13643 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010718878466038447, + "loss": 0.5076, + "step": 13644 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010717781156577747, + "loss": 0.6265, + "step": 13645 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010716683838429506, + "loss": 0.5091, + "step": 13646 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010715586511607001, + "loss": 0.5022, + "step": 13647 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010714489176123512, + "loss": 0.5053, + "step": 13648 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010713391831992323, + "loss": 0.5472, + "step": 13649 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010712294479226716, + "loss": 0.5837, + "step": 13650 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001071119711783997, + "loss": 0.6143, + "step": 13651 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001071009974784537, + "loss": 0.4968, + "step": 13652 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010709002369256193, + "loss": 0.5716, + "step": 13653 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010707904982085726, + "loss": 0.5245, + "step": 13654 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001070680758634725, + "loss": 0.5452, + "step": 13655 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010705710182054043, + "loss": 0.5602, + "step": 13656 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010704612769219393, + "loss": 0.6161, + "step": 13657 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010703515347856576, + "loss": 0.629, + "step": 13658 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010702417917978884, + "loss": 0.6183, + "step": 13659 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001070132047959959, + "loss": 0.4983, + "step": 13660 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010700223032731981, + "loss": 0.5521, + "step": 13661 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010699125577389342, + "loss": 0.5199, + "step": 13662 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010698028113584949, + "loss": 0.589, + "step": 13663 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001069693064133209, + "loss": 0.6468, + "step": 13664 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010695833160644044, + "loss": 0.572, + "step": 13665 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010694735671534101, + "loss": 0.5854, + "step": 13666 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010693638174015542, + "loss": 0.5797, + "step": 13667 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010692540668101646, + "loss": 0.5603, + "step": 13668 + }, + { + "epoch": 0.48, + "learning_rate": 0.000106914431538057, + "loss": 0.5859, + "step": 13669 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010690345631140987, + "loss": 0.6823, + "step": 13670 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001068924810012079, + "loss": 0.5625, + "step": 13671 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010688150560758394, + "loss": 0.5382, + "step": 13672 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010687053013067083, + "loss": 0.5822, + "step": 13673 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001068595545706014, + "loss": 0.648, + "step": 13674 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001068485789275085, + "loss": 0.7084, + "step": 13675 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010683760320152494, + "loss": 0.6376, + "step": 13676 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010682662739278362, + "loss": 0.5778, + "step": 13677 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010681565150141732, + "loss": 0.6424, + "step": 13678 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010680467552755893, + "loss": 0.5207, + "step": 13679 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001067936994713413, + "loss": 0.6012, + "step": 13680 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010678272333289722, + "loss": 0.6454, + "step": 13681 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010677174711235962, + "loss": 0.717, + "step": 13682 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001067607708098613, + "loss": 0.6494, + "step": 13683 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001067497944255351, + "loss": 0.5442, + "step": 13684 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001067388179595139, + "loss": 0.6547, + "step": 13685 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010672784141193052, + "loss": 0.5697, + "step": 13686 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010671686478291787, + "loss": 0.5461, + "step": 13687 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010670588807260875, + "loss": 0.592, + "step": 13688 + }, + { + "epoch": 0.48, + "learning_rate": 0.000106694911281136, + "loss": 0.6149, + "step": 13689 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010668393440863254, + "loss": 0.5074, + "step": 13690 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010667295745523116, + "loss": 0.5444, + "step": 13691 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010666198042106478, + "loss": 0.4813, + "step": 13692 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010665100330626625, + "loss": 0.5828, + "step": 13693 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010664002611096835, + "loss": 0.6227, + "step": 13694 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010662904883530404, + "loss": 0.5199, + "step": 13695 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010661807147940612, + "loss": 0.572, + "step": 13696 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010660709404340749, + "loss": 0.535, + "step": 13697 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010659611652744101, + "loss": 0.5322, + "step": 13698 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001065851389316395, + "loss": 0.5017, + "step": 13699 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010657416125613589, + "loss": 0.5685, + "step": 13700 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010656318350106301, + "loss": 0.5146, + "step": 13701 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010655220566655371, + "loss": 0.775, + "step": 13702 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001065412277527409, + "loss": 0.7363, + "step": 13703 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001065302497597574, + "loss": 0.5129, + "step": 13704 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010651927168773614, + "loss": 0.5285, + "step": 13705 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010650829353680996, + "loss": 0.6394, + "step": 13706 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010649731530711171, + "loss": 0.5766, + "step": 13707 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001064863369987743, + "loss": 0.5252, + "step": 13708 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010647535861193058, + "loss": 0.6062, + "step": 13709 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010646438014671345, + "loss": 0.5453, + "step": 13710 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010645340160325578, + "loss": 0.5294, + "step": 13711 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010644242298169043, + "loss": 0.5572, + "step": 13712 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010643144428215028, + "loss": 0.6106, + "step": 13713 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010642046550476821, + "loss": 0.529, + "step": 13714 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010640948664967712, + "loss": 0.7143, + "step": 13715 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010639850771700988, + "loss": 0.6449, + "step": 13716 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010638752870689934, + "loss": 0.6372, + "step": 13717 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010637654961947843, + "loss": 0.6347, + "step": 13718 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010636557045488, + "loss": 0.5562, + "step": 13719 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010635459121323697, + "loss": 0.5687, + "step": 13720 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010634361189468219, + "loss": 0.5376, + "step": 13721 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010633263249934855, + "loss": 0.4986, + "step": 13722 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010632165302736896, + "loss": 0.5985, + "step": 13723 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010631067347887631, + "loss": 0.5227, + "step": 13724 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010629969385400345, + "loss": 0.5705, + "step": 13725 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010628871415288332, + "loss": 0.561, + "step": 13726 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010627773437564877, + "loss": 0.6701, + "step": 13727 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010626675452243271, + "loss": 0.5694, + "step": 13728 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010625577459336802, + "loss": 0.5946, + "step": 13729 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001062447945885876, + "loss": 0.5957, + "step": 13730 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010623381450822439, + "loss": 0.5473, + "step": 13731 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010622283435241118, + "loss": 0.5994, + "step": 13732 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010621185412128099, + "loss": 0.658, + "step": 13733 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010620087381496661, + "loss": 0.5246, + "step": 13734 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010618989343360102, + "loss": 0.6235, + "step": 13735 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010617891297731708, + "loss": 0.5276, + "step": 13736 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010616793244624767, + "loss": 0.5253, + "step": 13737 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010615695184052577, + "loss": 0.6131, + "step": 13738 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001061459711602842, + "loss": 0.6743, + "step": 13739 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010613499040565587, + "loss": 0.5751, + "step": 13740 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010612400957677373, + "loss": 0.586, + "step": 13741 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010611302867377064, + "loss": 0.5844, + "step": 13742 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010610204769677956, + "loss": 0.6754, + "step": 13743 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010609106664593333, + "loss": 0.578, + "step": 13744 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001060800855213649, + "loss": 0.5535, + "step": 13745 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010606910432320718, + "loss": 0.6691, + "step": 13746 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010605812305159304, + "loss": 0.5795, + "step": 13747 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010604714170665544, + "loss": 0.5754, + "step": 13748 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010603616028852727, + "loss": 0.5027, + "step": 13749 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010602517879734142, + "loss": 0.6389, + "step": 13750 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010601419723323082, + "loss": 0.5707, + "step": 13751 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010600321559632842, + "loss": 0.5384, + "step": 13752 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010599223388676706, + "loss": 0.6167, + "step": 13753 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010598125210467973, + "loss": 0.6168, + "step": 13754 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010597027025019927, + "loss": 0.547, + "step": 13755 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010595928832345867, + "loss": 0.5028, + "step": 13756 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010594830632459081, + "loss": 0.5314, + "step": 13757 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001059373242537286, + "loss": 0.6673, + "step": 13758 + }, + { + "epoch": 0.48, + "learning_rate": 0.000105926342111005, + "loss": 0.5527, + "step": 13759 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010591535989655289, + "loss": 0.5285, + "step": 13760 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001059043776105052, + "loss": 0.6569, + "step": 13761 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010589339525299488, + "loss": 0.575, + "step": 13762 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010588241282415481, + "loss": 0.5569, + "step": 13763 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010587143032411795, + "loss": 0.5629, + "step": 13764 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001058604477530172, + "loss": 0.5744, + "step": 13765 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001058494651109855, + "loss": 0.5641, + "step": 13766 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010583848239815579, + "loss": 0.571, + "step": 13767 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010582749961466096, + "loss": 0.5057, + "step": 13768 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010581651676063398, + "loss": 0.5267, + "step": 13769 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010580553383620775, + "loss": 0.5837, + "step": 13770 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001057945508415152, + "loss": 0.594, + "step": 13771 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010578356777668927, + "loss": 0.6896, + "step": 13772 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010577258464186288, + "loss": 0.5436, + "step": 13773 + }, + { + "epoch": 0.48, + "learning_rate": 0.000105761601437169, + "loss": 0.6405, + "step": 13774 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010575061816274053, + "loss": 0.5134, + "step": 13775 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010573963481871039, + "loss": 0.6063, + "step": 13776 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010572865140521155, + "loss": 0.564, + "step": 13777 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010571766792237692, + "loss": 0.6293, + "step": 13778 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010570668437033946, + "loss": 0.5492, + "step": 13779 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010569570074923212, + "loss": 0.5395, + "step": 13780 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010568471705918777, + "loss": 0.56, + "step": 13781 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010567373330033943, + "loss": 0.5385, + "step": 13782 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010566274947281995, + "loss": 0.6081, + "step": 13783 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010565176557676238, + "loss": 0.4943, + "step": 13784 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001056407816122996, + "loss": 0.5906, + "step": 13785 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010562979757956456, + "loss": 0.573, + "step": 13786 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010561881347869018, + "loss": 0.5831, + "step": 13787 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010560782930980943, + "loss": 0.5473, + "step": 13788 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010559684507305527, + "loss": 0.5755, + "step": 13789 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010558586076856064, + "loss": 0.5866, + "step": 13790 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010557487639645842, + "loss": 0.6596, + "step": 13791 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010556389195688165, + "loss": 0.4786, + "step": 13792 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010555290744996324, + "loss": 0.6296, + "step": 13793 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010554192287583615, + "loss": 0.5485, + "step": 13794 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010553093823463331, + "loss": 0.5339, + "step": 13795 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010551995352648767, + "loss": 0.6385, + "step": 13796 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001055089687515322, + "loss": 0.6005, + "step": 13797 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010549798390989983, + "loss": 0.5219, + "step": 13798 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010548699900172353, + "loss": 0.6142, + "step": 13799 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010547601402713627, + "loss": 0.5314, + "step": 13800 + }, + { + "epoch": 0.48, + "eval_loss": 0.5640407204627991, + "eval_runtime": 853.0057, + "eval_samples_per_second": 28.206, + "eval_steps_per_second": 14.103, + "step": 13800 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010546502898627098, + "loss": 0.5736, + "step": 13801 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010545404387926061, + "loss": 0.6372, + "step": 13802 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010544305870623814, + "loss": 0.6267, + "step": 13803 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001054320734673365, + "loss": 0.6665, + "step": 13804 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001054210881626887, + "loss": 0.5974, + "step": 13805 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010541010279242763, + "loss": 0.5272, + "step": 13806 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010539911735668628, + "loss": 0.548, + "step": 13807 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010538813185559764, + "loss": 0.5722, + "step": 13808 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001053771462892946, + "loss": 0.589, + "step": 13809 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001053661606579102, + "loss": 0.6494, + "step": 13810 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010535517496157734, + "loss": 0.5752, + "step": 13811 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010534418920042906, + "loss": 0.4711, + "step": 13812 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010533320337459824, + "loss": 0.5273, + "step": 13813 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010532221748421787, + "loss": 0.5263, + "step": 13814 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010531123152942096, + "loss": 0.508, + "step": 13815 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010530024551034041, + "loss": 0.5822, + "step": 13816 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010528925942710926, + "loss": 0.5783, + "step": 13817 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010527827327986042, + "loss": 0.5429, + "step": 13818 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010526728706872686, + "loss": 0.6712, + "step": 13819 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010525630079384159, + "loss": 0.5193, + "step": 13820 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010524531445533757, + "loss": 0.4862, + "step": 13821 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010523432805334771, + "loss": 0.527, + "step": 13822 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010522334158800509, + "loss": 0.5252, + "step": 13823 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001052123550594426, + "loss": 0.591, + "step": 13824 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010520136846779325, + "loss": 0.5122, + "step": 13825 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010519038181318999, + "loss": 0.4997, + "step": 13826 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001051793950957658, + "loss": 0.5103, + "step": 13827 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010516840831565369, + "loss": 0.5605, + "step": 13828 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010515742147298657, + "loss": 0.5046, + "step": 13829 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001051464345678975, + "loss": 0.6018, + "step": 13830 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010513544760051941, + "loss": 0.6755, + "step": 13831 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010512446057098526, + "loss": 0.7032, + "step": 13832 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010511347347942808, + "loss": 0.6849, + "step": 13833 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010510248632598081, + "loss": 0.5757, + "step": 13834 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010509149911077644, + "loss": 0.5505, + "step": 13835 + }, + { + "epoch": 0.48, + "learning_rate": 0.000105080511833948, + "loss": 0.6118, + "step": 13836 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010506952449562839, + "loss": 0.6465, + "step": 13837 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010505853709595066, + "loss": 0.7372, + "step": 13838 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010504754963504775, + "loss": 0.5852, + "step": 13839 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010503656211305267, + "loss": 0.6469, + "step": 13840 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001050255745300984, + "loss": 0.5708, + "step": 13841 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010501458688631791, + "loss": 0.4868, + "step": 13842 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010500359918184423, + "loss": 0.5653, + "step": 13843 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010499261141681032, + "loss": 0.5652, + "step": 13844 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010498162359134913, + "loss": 0.598, + "step": 13845 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010497063570559374, + "loss": 0.5842, + "step": 13846 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010495964775967704, + "loss": 0.5844, + "step": 13847 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010494865975373211, + "loss": 0.6663, + "step": 13848 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001049376716878919, + "loss": 0.6216, + "step": 13849 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010492668356228936, + "loss": 0.5825, + "step": 13850 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010491569537705757, + "loss": 0.5599, + "step": 13851 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010490470713232947, + "loss": 0.5274, + "step": 13852 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010489371882823804, + "loss": 0.586, + "step": 13853 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010488273046491633, + "loss": 0.5674, + "step": 13854 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010487174204249728, + "loss": 0.5769, + "step": 13855 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010486075356111394, + "loss": 0.5814, + "step": 13856 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010484976502089928, + "loss": 0.539, + "step": 13857 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010483877642198625, + "loss": 0.6271, + "step": 13858 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010482778776450793, + "loss": 0.569, + "step": 13859 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010481679904859727, + "loss": 0.5556, + "step": 13860 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010480581027438732, + "loss": 0.5336, + "step": 13861 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010479482144201101, + "loss": 0.5237, + "step": 13862 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001047838325516014, + "loss": 0.5484, + "step": 13863 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010477284360329148, + "loss": 0.5718, + "step": 13864 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001047618545972142, + "loss": 0.6003, + "step": 13865 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010475086553350262, + "loss": 0.6776, + "step": 13866 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010473987641228973, + "loss": 0.5367, + "step": 13867 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010472888723370854, + "loss": 0.5948, + "step": 13868 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010471789799789206, + "loss": 0.6204, + "step": 13869 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010470690870497326, + "loss": 0.5541, + "step": 13870 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001046959193550852, + "loss": 0.6323, + "step": 13871 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010468492994836087, + "loss": 0.6237, + "step": 13872 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010467394048493324, + "loss": 0.5331, + "step": 13873 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010466295096493539, + "loss": 0.5598, + "step": 13874 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010465196138850025, + "loss": 0.5938, + "step": 13875 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010464097175576089, + "loss": 0.605, + "step": 13876 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001046299820668503, + "loss": 0.6245, + "step": 13877 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010461899232190148, + "loss": 0.4947, + "step": 13878 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010460800252104748, + "loss": 0.5499, + "step": 13879 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010459701266442126, + "loss": 0.5856, + "step": 13880 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001045860227521559, + "loss": 0.5878, + "step": 13881 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010457503278438436, + "loss": 0.6257, + "step": 13882 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010456404276123966, + "loss": 0.6013, + "step": 13883 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010455305268285482, + "loss": 0.5648, + "step": 13884 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010454206254936287, + "loss": 0.7318, + "step": 13885 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010453107236089685, + "loss": 0.5638, + "step": 13886 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010452008211758974, + "loss": 0.5691, + "step": 13887 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010450909181957455, + "loss": 0.6647, + "step": 13888 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010449810146698435, + "loss": 0.5632, + "step": 13889 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010448711105995212, + "loss": 0.5486, + "step": 13890 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010447612059861084, + "loss": 0.556, + "step": 13891 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010446513008309364, + "loss": 0.5623, + "step": 13892 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010445413951353344, + "loss": 0.6939, + "step": 13893 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010444314889006335, + "loss": 0.5329, + "step": 13894 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010443215821281633, + "loss": 0.5157, + "step": 13895 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010442116748192539, + "loss": 0.5804, + "step": 13896 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010441017669752362, + "loss": 0.5889, + "step": 13897 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010439918585974399, + "loss": 0.5274, + "step": 13898 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010438819496871957, + "loss": 0.5113, + "step": 13899 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010437720402458335, + "loss": 0.5204, + "step": 13900 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010436621302746836, + "loss": 0.566, + "step": 13901 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010435522197750765, + "loss": 0.5922, + "step": 13902 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010434423087483425, + "loss": 0.5648, + "step": 13903 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010433323971958113, + "loss": 0.5406, + "step": 13904 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010432224851188141, + "loss": 0.654, + "step": 13905 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010431125725186805, + "loss": 0.5965, + "step": 13906 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010430026593967412, + "loss": 0.6049, + "step": 13907 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010428927457543263, + "loss": 0.6397, + "step": 13908 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010427828315927662, + "loss": 0.6514, + "step": 13909 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010426729169133913, + "loss": 0.5775, + "step": 13910 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010425630017175316, + "loss": 0.5523, + "step": 13911 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001042453086006518, + "loss": 0.5936, + "step": 13912 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010423431697816806, + "loss": 0.6906, + "step": 13913 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010422332530443493, + "loss": 0.498, + "step": 13914 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010421233357958551, + "loss": 0.5364, + "step": 13915 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010420134180375281, + "loss": 0.5877, + "step": 13916 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010419034997706987, + "loss": 0.548, + "step": 13917 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010417935809966974, + "loss": 0.5976, + "step": 13918 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010416836617168542, + "loss": 0.6839, + "step": 13919 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010415737419325, + "loss": 0.6523, + "step": 13920 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010414638216449648, + "loss": 0.5949, + "step": 13921 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010413539008555791, + "loss": 0.5876, + "step": 13922 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010412439795656734, + "loss": 0.5364, + "step": 13923 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010411340577765778, + "loss": 0.5884, + "step": 13924 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010410241354896233, + "loss": 0.6359, + "step": 13925 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010409142127061402, + "loss": 0.546, + "step": 13926 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010408042894274583, + "loss": 0.5854, + "step": 13927 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010406943656549088, + "loss": 0.5471, + "step": 13928 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010405844413898218, + "loss": 0.5343, + "step": 13929 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010404745166335277, + "loss": 0.6112, + "step": 13930 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010403645913873568, + "loss": 0.5576, + "step": 13931 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010402546656526402, + "loss": 0.6426, + "step": 13932 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010401447394307078, + "loss": 0.7129, + "step": 13933 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010400348127228899, + "loss": 0.5453, + "step": 13934 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010399248855305176, + "loss": 0.6861, + "step": 13935 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001039814957854921, + "loss": 0.5463, + "step": 13936 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001039705029697431, + "loss": 0.6862, + "step": 13937 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010395951010593777, + "loss": 0.5036, + "step": 13938 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010394851719420913, + "loss": 0.5677, + "step": 13939 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001039375242346903, + "loss": 0.6159, + "step": 13940 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001039265312275143, + "loss": 0.6205, + "step": 13941 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010391553817281416, + "loss": 0.5546, + "step": 13942 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010390454507072299, + "loss": 0.5338, + "step": 13943 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010389355192137377, + "loss": 0.4852, + "step": 13944 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010388255872489963, + "loss": 0.5482, + "step": 13945 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010387156548143359, + "loss": 0.5527, + "step": 13946 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010386057219110867, + "loss": 0.4544, + "step": 13947 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010384957885405798, + "loss": 0.5843, + "step": 13948 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010383858547041454, + "loss": 0.5461, + "step": 13949 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010382759204031142, + "loss": 0.5617, + "step": 13950 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010381659856388171, + "loss": 0.6208, + "step": 13951 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010380560504125839, + "loss": 0.56, + "step": 13952 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010379461147257459, + "loss": 0.6022, + "step": 13953 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010378361785796334, + "loss": 0.5303, + "step": 13954 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010377262419755769, + "loss": 0.58, + "step": 13955 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010376163049149072, + "loss": 0.4697, + "step": 13956 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010375063673989547, + "loss": 0.5437, + "step": 13957 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010373964294290502, + "loss": 0.5357, + "step": 13958 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010372864910065243, + "loss": 0.5391, + "step": 13959 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010371765521327075, + "loss": 0.5141, + "step": 13960 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010370666128089305, + "loss": 0.6656, + "step": 13961 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010369566730365239, + "loss": 0.5081, + "step": 13962 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010368467328168184, + "loss": 0.5085, + "step": 13963 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010367367921511446, + "loss": 0.517, + "step": 13964 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010366268510408333, + "loss": 0.5248, + "step": 13965 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010365169094872147, + "loss": 0.6062, + "step": 13966 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010364069674916199, + "loss": 0.5584, + "step": 13967 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010362970250553796, + "loss": 0.5845, + "step": 13968 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010361870821798242, + "loss": 0.5422, + "step": 13969 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010360771388662844, + "loss": 0.5967, + "step": 13970 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001035967195116091, + "loss": 0.6388, + "step": 13971 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010358572509305749, + "loss": 0.609, + "step": 13972 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010357473063110661, + "loss": 0.5605, + "step": 13973 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010356373612588958, + "loss": 0.5248, + "step": 13974 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010355274157753948, + "loss": 0.5415, + "step": 13975 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010354174698618937, + "loss": 0.5662, + "step": 13976 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010353075235197231, + "loss": 0.5325, + "step": 13977 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010351975767502135, + "loss": 0.5923, + "step": 13978 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010350876295546963, + "loss": 0.567, + "step": 13979 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010349776819345014, + "loss": 0.5072, + "step": 13980 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010348677338909604, + "loss": 0.5585, + "step": 13981 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010347577854254034, + "loss": 0.4972, + "step": 13982 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010346478365391612, + "loss": 0.5517, + "step": 13983 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001034537887233565, + "loss": 0.5293, + "step": 13984 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010344279375099449, + "loss": 0.6024, + "step": 13985 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001034317987369632, + "loss": 0.5628, + "step": 13986 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010342080368139573, + "loss": 0.5883, + "step": 13987 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010340980858442511, + "loss": 0.58, + "step": 13988 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010339881344618445, + "loss": 0.6555, + "step": 13989 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010338781826680683, + "loss": 0.5633, + "step": 13990 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010337682304642529, + "loss": 0.5023, + "step": 13991 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010336582778517297, + "loss": 0.5863, + "step": 13992 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010335483248318287, + "loss": 0.6279, + "step": 13993 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010334383714058812, + "loss": 0.5929, + "step": 13994 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010333284175752182, + "loss": 0.5603, + "step": 13995 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010332184633411703, + "loss": 0.5776, + "step": 13996 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010331085087050682, + "loss": 0.6009, + "step": 13997 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010329985536682425, + "loss": 0.6008, + "step": 13998 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010328885982320247, + "loss": 0.6488, + "step": 13999 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010327786423977448, + "loss": 0.5528, + "step": 14000 + }, + { + "epoch": 0.49, + "eval_loss": 0.5594451427459717, + "eval_runtime": 851.4366, + "eval_samples_per_second": 28.258, + "eval_steps_per_second": 14.129, + "step": 14000 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010326686861667344, + "loss": 0.5301, + "step": 14001 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010325587295403241, + "loss": 0.5787, + "step": 14002 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010324487725198442, + "loss": 0.5683, + "step": 14003 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010323388151066262, + "loss": 0.6516, + "step": 14004 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010322288573020009, + "loss": 0.5318, + "step": 14005 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010321188991072985, + "loss": 0.5444, + "step": 14006 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010320089405238509, + "loss": 0.5669, + "step": 14007 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010318989815529881, + "loss": 0.6639, + "step": 14008 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010317890221960413, + "loss": 0.6811, + "step": 14009 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010316790624543417, + "loss": 0.6259, + "step": 14010 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010315691023292193, + "loss": 0.6069, + "step": 14011 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001031459141822006, + "loss": 0.5201, + "step": 14012 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010313491809340319, + "loss": 0.6188, + "step": 14013 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010312392196666285, + "loss": 0.6078, + "step": 14014 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010311292580211262, + "loss": 0.5469, + "step": 14015 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010310192959988562, + "loss": 0.6219, + "step": 14016 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010309093336011492, + "loss": 0.5787, + "step": 14017 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010307993708293364, + "loss": 0.4531, + "step": 14018 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010306894076847484, + "loss": 0.5655, + "step": 14019 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010305794441687164, + "loss": 0.5538, + "step": 14020 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001030469480282571, + "loss": 0.5992, + "step": 14021 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010303595160276435, + "loss": 0.5219, + "step": 14022 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010302495514052648, + "loss": 0.521, + "step": 14023 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010301395864167654, + "loss": 0.6326, + "step": 14024 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010300296210634766, + "loss": 0.5413, + "step": 14025 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010299196553467292, + "loss": 0.5671, + "step": 14026 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010298096892678544, + "loss": 0.6397, + "step": 14027 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001029699722828183, + "loss": 0.6105, + "step": 14028 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010295897560290457, + "loss": 0.6282, + "step": 14029 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001029479788871774, + "loss": 0.6294, + "step": 14030 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010293698213576984, + "loss": 0.6204, + "step": 14031 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010292598534881501, + "loss": 0.497, + "step": 14032 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010291498852644603, + "loss": 0.5933, + "step": 14033 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010290399166879594, + "loss": 0.7162, + "step": 14034 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010289299477599788, + "loss": 0.5841, + "step": 14035 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010288199784818493, + "loss": 0.5272, + "step": 14036 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010287100088549022, + "loss": 0.6053, + "step": 14037 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010286000388804681, + "loss": 0.5138, + "step": 14038 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010284900685598781, + "loss": 0.5524, + "step": 14039 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010283800978944636, + "loss": 0.5446, + "step": 14040 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010282701268855553, + "loss": 0.5434, + "step": 14041 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001028160155534484, + "loss": 0.5513, + "step": 14042 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010280501838425811, + "loss": 0.546, + "step": 14043 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010279402118111774, + "loss": 0.5036, + "step": 14044 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001027830239441604, + "loss": 0.5192, + "step": 14045 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010277202667351921, + "loss": 0.4841, + "step": 14046 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010276102936932723, + "loss": 0.5238, + "step": 14047 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001027500320317176, + "loss": 0.55, + "step": 14048 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010273903466082341, + "loss": 0.7758, + "step": 14049 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010272803725677779, + "loss": 0.5546, + "step": 14050 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010271703981971384, + "loss": 0.6683, + "step": 14051 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001027060423497646, + "loss": 0.4839, + "step": 14052 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010269504484706324, + "loss": 0.5639, + "step": 14053 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010268404731174288, + "loss": 0.5838, + "step": 14054 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010267304974393659, + "loss": 0.6491, + "step": 14055 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010266205214377748, + "loss": 0.5151, + "step": 14056 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010265105451139867, + "loss": 0.5069, + "step": 14057 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010264005684693325, + "loss": 0.539, + "step": 14058 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010262905915051437, + "loss": 0.5467, + "step": 14059 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010261806142227507, + "loss": 0.5205, + "step": 14060 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010260706366234856, + "loss": 0.4994, + "step": 14061 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010259606587086783, + "loss": 0.5442, + "step": 14062 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001025850680479661, + "loss": 0.5393, + "step": 14063 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010257407019377638, + "loss": 0.5275, + "step": 14064 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010256307230843188, + "loss": 0.605, + "step": 14065 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010255207439206564, + "loss": 0.6328, + "step": 14066 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010254107644481077, + "loss": 0.6317, + "step": 14067 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010253007846680042, + "loss": 0.6206, + "step": 14068 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010251908045816767, + "loss": 0.5645, + "step": 14069 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010250808241904568, + "loss": 0.5918, + "step": 14070 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010249708434956752, + "loss": 0.5243, + "step": 14071 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001024860862498663, + "loss": 0.6042, + "step": 14072 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010247508812007519, + "loss": 0.5647, + "step": 14073 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010246408996032723, + "loss": 0.4788, + "step": 14074 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010245309177075558, + "loss": 0.6077, + "step": 14075 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010244209355149333, + "loss": 0.5989, + "step": 14076 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010243109530267361, + "loss": 0.5262, + "step": 14077 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010242009702442955, + "loss": 0.5495, + "step": 14078 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010240909871689424, + "loss": 0.5792, + "step": 14079 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010239810038020077, + "loss": 0.5851, + "step": 14080 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010238710201448235, + "loss": 0.6329, + "step": 14081 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010237610361987197, + "loss": 0.5334, + "step": 14082 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010236510519650289, + "loss": 0.601, + "step": 14083 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010235410674450812, + "loss": 0.7276, + "step": 14084 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010234310826402079, + "loss": 0.5966, + "step": 14085 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010233210975517406, + "loss": 0.5255, + "step": 14086 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010232111121810101, + "loss": 0.5266, + "step": 14087 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010231011265293482, + "loss": 0.6179, + "step": 14088 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010229911405980855, + "loss": 0.5992, + "step": 14089 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001022881154388553, + "loss": 0.6308, + "step": 14090 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010227711679020827, + "loss": 0.625, + "step": 14091 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010226611811400053, + "loss": 0.5702, + "step": 14092 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010225511941036518, + "loss": 0.5743, + "step": 14093 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010224412067943539, + "loss": 0.581, + "step": 14094 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010223312192134424, + "loss": 0.5361, + "step": 14095 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010222212313622487, + "loss": 0.5426, + "step": 14096 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010221112432421045, + "loss": 0.508, + "step": 14097 + }, + { + "epoch": 0.49, + "learning_rate": 0.000102200125485434, + "loss": 0.5559, + "step": 14098 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010218912662002873, + "loss": 0.5075, + "step": 14099 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001021781277281277, + "loss": 0.5157, + "step": 14100 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001021671288098641, + "loss": 0.5351, + "step": 14101 + }, + { + "epoch": 0.49, + "learning_rate": 0.000102156129865371, + "loss": 0.5917, + "step": 14102 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010214513089478152, + "loss": 0.4888, + "step": 14103 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010213413189822885, + "loss": 0.602, + "step": 14104 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010212313287584605, + "loss": 0.5426, + "step": 14105 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010211213382776623, + "loss": 0.622, + "step": 14106 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010210113475412259, + "loss": 0.572, + "step": 14107 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010209013565504821, + "loss": 0.5858, + "step": 14108 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010207913653067622, + "loss": 0.5307, + "step": 14109 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010206813738113976, + "loss": 0.5222, + "step": 14110 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010205713820657192, + "loss": 0.6031, + "step": 14111 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010204613900710587, + "loss": 0.5738, + "step": 14112 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001020351397828747, + "loss": 0.533, + "step": 14113 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010202414053401155, + "loss": 0.5136, + "step": 14114 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010201314126064958, + "loss": 0.513, + "step": 14115 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010200214196292186, + "loss": 0.5219, + "step": 14116 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010199114264096156, + "loss": 0.5372, + "step": 14117 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010198014329490179, + "loss": 0.5222, + "step": 14118 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001019691439248757, + "loss": 0.5585, + "step": 14119 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010195814453101642, + "loss": 0.5596, + "step": 14120 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010194714511345702, + "loss": 0.487, + "step": 14121 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010193614567233069, + "loss": 0.5434, + "step": 14122 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010192514620777057, + "loss": 0.6122, + "step": 14123 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010191414671990973, + "loss": 0.6672, + "step": 14124 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010190314720888135, + "loss": 0.6092, + "step": 14125 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010189214767481853, + "loss": 0.5611, + "step": 14126 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010188114811785443, + "loss": 0.5128, + "step": 14127 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010187014853812218, + "loss": 0.6652, + "step": 14128 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010185914893575486, + "loss": 0.5119, + "step": 14129 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010184814931088571, + "loss": 0.5163, + "step": 14130 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010183714966364772, + "loss": 0.5452, + "step": 14131 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010182614999417413, + "loss": 0.5949, + "step": 14132 + }, + { + "epoch": 0.49, + "learning_rate": 0.000101815150302598, + "loss": 0.6483, + "step": 14133 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010180415058905254, + "loss": 0.6161, + "step": 14134 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010179315085367084, + "loss": 0.5141, + "step": 14135 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010178215109658602, + "loss": 0.5716, + "step": 14136 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010177115131793127, + "loss": 0.5916, + "step": 14137 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010176015151783964, + "loss": 0.5361, + "step": 14138 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010174915169644432, + "loss": 0.5045, + "step": 14139 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010173815185387845, + "loss": 0.5522, + "step": 14140 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010172715199027514, + "loss": 0.4967, + "step": 14141 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010171615210576753, + "loss": 0.4996, + "step": 14142 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010170515220048877, + "loss": 0.6288, + "step": 14143 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010169415227457196, + "loss": 0.5646, + "step": 14144 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010168315232815029, + "loss": 0.5754, + "step": 14145 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010167215236135683, + "loss": 0.6168, + "step": 14146 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010166115237432479, + "loss": 0.6127, + "step": 14147 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010165015236718724, + "loss": 0.6069, + "step": 14148 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010163915234007735, + "loss": 0.5801, + "step": 14149 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010162815229312827, + "loss": 0.6214, + "step": 14150 + }, + { + "epoch": 0.5, + "learning_rate": 0.0001016171522264731, + "loss": 0.5454, + "step": 14151 + }, + { + "epoch": 0.5, + "learning_rate": 0.000101606152140245, + "loss": 0.5692, + "step": 14152 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010159515203457713, + "loss": 0.6002, + "step": 14153 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010158415190960258, + "loss": 0.5612, + "step": 14154 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010157315176545452, + "loss": 0.5928, + "step": 14155 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010156215160226607, + "loss": 0.6773, + "step": 14156 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010155115142017038, + "loss": 0.5735, + "step": 14157 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010154015121930061, + "loss": 0.6613, + "step": 14158 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010152915099978983, + "loss": 0.5714, + "step": 14159 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010151815076177127, + "loss": 0.6154, + "step": 14160 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010150715050537802, + "loss": 0.5539, + "step": 14161 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010149615023074319, + "loss": 0.5355, + "step": 14162 + }, + { + "epoch": 0.5, + "learning_rate": 0.000101485149938, + "loss": 0.5469, + "step": 14163 + }, + { + "epoch": 0.5, + "learning_rate": 0.0001014741496272815, + "loss": 0.5829, + "step": 14164 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010146314929872092, + "loss": 0.625, + "step": 14165 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010145214895245134, + "loss": 0.5815, + "step": 14166 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010144114858860589, + "loss": 0.5817, + "step": 14167 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010143014820731778, + "loss": 0.5421, + "step": 14168 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010141914780872006, + "loss": 0.575, + "step": 14169 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010140814739294597, + "loss": 0.5213, + "step": 14170 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010139714696012859, + "loss": 0.7336, + "step": 14171 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010138614651040106, + "loss": 0.5802, + "step": 14172 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010137514604389655, + "loss": 0.5822, + "step": 14173 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010136414556074817, + "loss": 0.6084, + "step": 14174 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010135314506108911, + "loss": 0.5592, + "step": 14175 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010134214454505246, + "loss": 0.665, + "step": 14176 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010133114401277139, + "loss": 0.5569, + "step": 14177 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010132014346437906, + "loss": 0.5374, + "step": 14178 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010130914290000859, + "loss": 0.6278, + "step": 14179 + }, + { + "epoch": 0.5, + "learning_rate": 0.0001012981423197931, + "loss": 0.6439, + "step": 14180 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010128714172386578, + "loss": 0.6383, + "step": 14181 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010127614111235975, + "loss": 0.5016, + "step": 14182 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010126514048540816, + "loss": 0.4564, + "step": 14183 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010125413984314416, + "loss": 0.5567, + "step": 14184 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010124313918570085, + "loss": 0.4611, + "step": 14185 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010123213851321145, + "loss": 0.6169, + "step": 14186 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010122113782580906, + "loss": 0.6379, + "step": 14187 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010121013712362684, + "loss": 0.5623, + "step": 14188 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010119913640679792, + "loss": 0.5095, + "step": 14189 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010118813567545544, + "loss": 0.6157, + "step": 14190 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010117713492973257, + "loss": 0.5173, + "step": 14191 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010116613416976246, + "loss": 0.6966, + "step": 14192 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010115513339567819, + "loss": 0.5865, + "step": 14193 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010114413260761299, + "loss": 0.549, + "step": 14194 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010113313180569996, + "loss": 0.5438, + "step": 14195 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010112213099007229, + "loss": 0.5956, + "step": 14196 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010111113016086306, + "loss": 0.4695, + "step": 14197 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010110012931820547, + "loss": 0.6512, + "step": 14198 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010108912846223264, + "loss": 0.496, + "step": 14199 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010107812759307772, + "loss": 0.5617, + "step": 14200 + }, + { + "epoch": 0.5, + "eval_loss": 0.5544564127922058, + "eval_runtime": 854.2321, + "eval_samples_per_second": 28.166, + "eval_steps_per_second": 14.083, + "step": 14200 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010106712671087386, + "loss": 0.6357, + "step": 14201 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010105612581575421, + "loss": 0.4744, + "step": 14202 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010104512490785194, + "loss": 0.601, + "step": 14203 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010103412398730017, + "loss": 0.5159, + "step": 14204 + }, + { + "epoch": 0.5, + "learning_rate": 0.000101023123054232, + "loss": 0.5774, + "step": 14205 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010101212210878069, + "loss": 0.6217, + "step": 14206 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010100112115107931, + "loss": 0.6228, + "step": 14207 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010099012018126101, + "loss": 0.5141, + "step": 14208 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010097911919945899, + "loss": 0.6021, + "step": 14209 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010096811820580634, + "loss": 0.6225, + "step": 14210 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010095711720043623, + "loss": 0.6484, + "step": 14211 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010094611618348184, + "loss": 0.5711, + "step": 14212 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010093511515507625, + "loss": 0.709, + "step": 14213 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010092411411535268, + "loss": 0.6243, + "step": 14214 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010091311306444421, + "loss": 0.542, + "step": 14215 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010090211200248407, + "loss": 0.5785, + "step": 14216 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010089111092960537, + "loss": 0.705, + "step": 14217 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010088010984594123, + "loss": 0.4549, + "step": 14218 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010086910875162482, + "loss": 0.539, + "step": 14219 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010085810764678931, + "loss": 0.6278, + "step": 14220 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010084710653156786, + "loss": 0.6367, + "step": 14221 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010083610540609358, + "loss": 0.4743, + "step": 14222 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010082510427049962, + "loss": 0.4498, + "step": 14223 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010081410312491917, + "loss": 0.5918, + "step": 14224 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010080310196948536, + "loss": 0.5011, + "step": 14225 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010079210080433132, + "loss": 0.6594, + "step": 14226 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010078109962959023, + "loss": 0.5844, + "step": 14227 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010077009844539523, + "loss": 0.5781, + "step": 14228 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010075909725187948, + "loss": 0.5699, + "step": 14229 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010074809604917612, + "loss": 0.6055, + "step": 14230 + }, + { + "epoch": 0.5, + "learning_rate": 0.0001007370948374183, + "loss": 0.5799, + "step": 14231 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010072609361673917, + "loss": 0.5946, + "step": 14232 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010071509238727188, + "loss": 0.6965, + "step": 14233 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010070409114914963, + "loss": 0.485, + "step": 14234 + }, + { + "epoch": 0.5, + "learning_rate": 0.0001006930899025055, + "loss": 0.6306, + "step": 14235 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010068208864747266, + "loss": 0.5112, + "step": 14236 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010067108738418429, + "loss": 0.5119, + "step": 14237 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010066008611277352, + "loss": 0.6396, + "step": 14238 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010064908483337353, + "loss": 0.5048, + "step": 14239 + }, + { + "epoch": 0.5, + "learning_rate": 0.0001006380835461174, + "loss": 0.5914, + "step": 14240 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010062708225113837, + "loss": 0.5294, + "step": 14241 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010061608094856956, + "loss": 0.6144, + "step": 14242 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010060507963854411, + "loss": 0.5644, + "step": 14243 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010059407832119514, + "loss": 0.4977, + "step": 14244 + }, + { + "epoch": 0.5, + "learning_rate": 0.0001005830769966559, + "loss": 0.5853, + "step": 14245 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010057207566505944, + "loss": 0.5255, + "step": 14246 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010056107432653898, + "loss": 0.5022, + "step": 14247 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010055007298122765, + "loss": 0.6448, + "step": 14248 + }, + { + "epoch": 0.5, + "learning_rate": 0.0001005390716292586, + "loss": 0.6288, + "step": 14249 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010052807027076498, + "loss": 0.5314, + "step": 14250 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010051706890587996, + "loss": 0.5593, + "step": 14251 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010050606753473668, + "loss": 0.5159, + "step": 14252 + }, + { + "epoch": 0.5, + "learning_rate": 0.0001004950661574683, + "loss": 0.5704, + "step": 14253 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010048406477420795, + "loss": 0.5844, + "step": 14254 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010047306338508882, + "loss": 0.5347, + "step": 14255 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010046206199024406, + "loss": 0.5258, + "step": 14256 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010045106058980678, + "loss": 0.672, + "step": 14257 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010044005918391017, + "loss": 0.5491, + "step": 14258 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010042905777268739, + "loss": 0.5802, + "step": 14259 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010041805635627158, + "loss": 0.4981, + "step": 14260 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010040705493479588, + "loss": 0.61, + "step": 14261 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010039605350839345, + "loss": 0.6081, + "step": 14262 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010038505207719749, + "loss": 0.5482, + "step": 14263 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010037405064134107, + "loss": 0.634, + "step": 14264 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010036304920095745, + "loss": 0.5691, + "step": 14265 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010035204775617968, + "loss": 0.631, + "step": 14266 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010034104630714096, + "loss": 0.5351, + "step": 14267 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010033004485397445, + "loss": 0.5591, + "step": 14268 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010031904339681331, + "loss": 0.565, + "step": 14269 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010030804193579066, + "loss": 0.5272, + "step": 14270 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010029704047103967, + "loss": 0.5123, + "step": 14271 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010028603900269353, + "loss": 0.5991, + "step": 14272 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010027503753088537, + "loss": 0.4906, + "step": 14273 + }, + { + "epoch": 0.5, + "learning_rate": 0.0001002640360557483, + "loss": 0.4707, + "step": 14274 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010025303457741553, + "loss": 0.6119, + "step": 14275 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010024203309602021, + "loss": 0.5843, + "step": 14276 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010023103161169548, + "loss": 0.4743, + "step": 14277 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010022003012457448, + "loss": 0.5645, + "step": 14278 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010020902863479038, + "loss": 0.6084, + "step": 14279 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010019802714247637, + "loss": 0.5003, + "step": 14280 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010018702564776554, + "loss": 0.3628, + "step": 14281 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010017602415079108, + "loss": 0.584, + "step": 14282 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010016502265168616, + "loss": 0.601, + "step": 14283 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010015402115058389, + "loss": 0.5531, + "step": 14284 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010014301964761747, + "loss": 0.5808, + "step": 14285 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010013201814292004, + "loss": 0.6227, + "step": 14286 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010012101663662472, + "loss": 0.5222, + "step": 14287 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010011001512886473, + "loss": 0.5901, + "step": 14288 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010009901361977316, + "loss": 0.5717, + "step": 14289 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010008801210948322, + "loss": 0.6155, + "step": 14290 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010007701059812804, + "loss": 0.5641, + "step": 14291 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010006600908584076, + "loss": 0.5959, + "step": 14292 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010005500757275456, + "loss": 0.5371, + "step": 14293 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010004400605900259, + "loss": 0.5902, + "step": 14294 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010003300454471798, + "loss": 0.5553, + "step": 14295 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010002200303003393, + "loss": 0.6082, + "step": 14296 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010001100151508354, + "loss": 0.5748, + "step": 14297 + }, + { + "epoch": 0.5, + "learning_rate": 0.0001, + "loss": 0.4938, + "step": 14298 + }, + { + "epoch": 0.5, + "learning_rate": 9.998899848491648e-05, + "loss": 0.5222, + "step": 14299 + }, + { + "epoch": 0.5, + "learning_rate": 9.99779969699661e-05, + "loss": 0.5688, + "step": 14300 + }, + { + "epoch": 0.5, + "learning_rate": 9.996699545528205e-05, + "loss": 0.5815, + "step": 14301 + }, + { + "epoch": 0.5, + "learning_rate": 9.995599394099743e-05, + "loss": 0.531, + "step": 14302 + }, + { + "epoch": 0.5, + "learning_rate": 9.994499242724546e-05, + "loss": 0.5232, + "step": 14303 + }, + { + "epoch": 0.5, + "learning_rate": 9.993399091415927e-05, + "loss": 0.5625, + "step": 14304 + }, + { + "epoch": 0.5, + "learning_rate": 9.992298940187198e-05, + "loss": 0.5583, + "step": 14305 + }, + { + "epoch": 0.5, + "learning_rate": 9.99119878905168e-05, + "loss": 0.4679, + "step": 14306 + }, + { + "epoch": 0.5, + "learning_rate": 9.990098638022686e-05, + "loss": 0.5065, + "step": 14307 + }, + { + "epoch": 0.5, + "learning_rate": 9.98899848711353e-05, + "loss": 0.6253, + "step": 14308 + }, + { + "epoch": 0.5, + "learning_rate": 9.98789833633753e-05, + "loss": 0.5626, + "step": 14309 + }, + { + "epoch": 0.5, + "learning_rate": 9.986798185707999e-05, + "loss": 0.6539, + "step": 14310 + }, + { + "epoch": 0.5, + "learning_rate": 9.985698035238254e-05, + "loss": 0.5478, + "step": 14311 + }, + { + "epoch": 0.5, + "learning_rate": 9.984597884941613e-05, + "loss": 0.608, + "step": 14312 + }, + { + "epoch": 0.5, + "learning_rate": 9.983497734831386e-05, + "loss": 0.5794, + "step": 14313 + }, + { + "epoch": 0.5, + "learning_rate": 9.982397584920894e-05, + "loss": 0.5171, + "step": 14314 + }, + { + "epoch": 0.5, + "learning_rate": 9.981297435223447e-05, + "loss": 0.5392, + "step": 14315 + }, + { + "epoch": 0.5, + "learning_rate": 9.980197285752367e-05, + "loss": 0.5875, + "step": 14316 + }, + { + "epoch": 0.5, + "learning_rate": 9.979097136520964e-05, + "loss": 0.5993, + "step": 14317 + }, + { + "epoch": 0.5, + "learning_rate": 9.977996987542554e-05, + "loss": 0.6113, + "step": 14318 + }, + { + "epoch": 0.5, + "learning_rate": 9.976896838830456e-05, + "loss": 0.5656, + "step": 14319 + }, + { + "epoch": 0.5, + "learning_rate": 9.97579669039798e-05, + "loss": 0.6858, + "step": 14320 + }, + { + "epoch": 0.5, + "learning_rate": 9.974696542258448e-05, + "loss": 0.5812, + "step": 14321 + }, + { + "epoch": 0.5, + "learning_rate": 9.973596394425172e-05, + "loss": 0.5483, + "step": 14322 + }, + { + "epoch": 0.5, + "learning_rate": 9.972496246911466e-05, + "loss": 0.623, + "step": 14323 + }, + { + "epoch": 0.5, + "learning_rate": 9.971396099730648e-05, + "loss": 0.6466, + "step": 14324 + }, + { + "epoch": 0.5, + "learning_rate": 9.970295952896034e-05, + "loss": 0.5975, + "step": 14325 + }, + { + "epoch": 0.5, + "learning_rate": 9.969195806420935e-05, + "loss": 0.5, + "step": 14326 + }, + { + "epoch": 0.5, + "learning_rate": 9.968095660318673e-05, + "loss": 0.5711, + "step": 14327 + }, + { + "epoch": 0.5, + "learning_rate": 9.966995514602556e-05, + "loss": 0.5549, + "step": 14328 + }, + { + "epoch": 0.5, + "learning_rate": 9.965895369285906e-05, + "loss": 0.5666, + "step": 14329 + }, + { + "epoch": 0.5, + "learning_rate": 9.964795224382035e-05, + "loss": 0.5748, + "step": 14330 + }, + { + "epoch": 0.5, + "learning_rate": 9.963695079904257e-05, + "loss": 0.5243, + "step": 14331 + }, + { + "epoch": 0.5, + "learning_rate": 9.962594935865893e-05, + "loss": 0.4759, + "step": 14332 + }, + { + "epoch": 0.5, + "learning_rate": 9.961494792280252e-05, + "loss": 0.6543, + "step": 14333 + }, + { + "epoch": 0.5, + "learning_rate": 9.960394649160654e-05, + "loss": 0.644, + "step": 14334 + }, + { + "epoch": 0.5, + "learning_rate": 9.959294506520413e-05, + "loss": 0.5205, + "step": 14335 + }, + { + "epoch": 0.5, + "learning_rate": 9.958194364372843e-05, + "loss": 0.5503, + "step": 14336 + }, + { + "epoch": 0.5, + "learning_rate": 9.957094222731262e-05, + "loss": 0.5097, + "step": 14337 + }, + { + "epoch": 0.5, + "learning_rate": 9.955994081608983e-05, + "loss": 0.5498, + "step": 14338 + }, + { + "epoch": 0.5, + "learning_rate": 9.954893941019323e-05, + "loss": 0.5805, + "step": 14339 + }, + { + "epoch": 0.5, + "learning_rate": 9.953793800975597e-05, + "loss": 0.5912, + "step": 14340 + }, + { + "epoch": 0.5, + "learning_rate": 9.952693661491117e-05, + "loss": 0.5807, + "step": 14341 + }, + { + "epoch": 0.5, + "learning_rate": 9.951593522579204e-05, + "loss": 0.5811, + "step": 14342 + }, + { + "epoch": 0.5, + "learning_rate": 9.950493384253172e-05, + "loss": 0.5945, + "step": 14343 + }, + { + "epoch": 0.5, + "learning_rate": 9.949393246526332e-05, + "loss": 0.5277, + "step": 14344 + }, + { + "epoch": 0.5, + "learning_rate": 9.948293109412005e-05, + "loss": 0.6124, + "step": 14345 + }, + { + "epoch": 0.5, + "learning_rate": 9.947192972923502e-05, + "loss": 0.5046, + "step": 14346 + }, + { + "epoch": 0.5, + "learning_rate": 9.94609283707414e-05, + "loss": 0.5318, + "step": 14347 + }, + { + "epoch": 0.5, + "learning_rate": 9.944992701877236e-05, + "loss": 0.5231, + "step": 14348 + }, + { + "epoch": 0.5, + "learning_rate": 9.943892567346101e-05, + "loss": 0.5867, + "step": 14349 + }, + { + "epoch": 0.5, + "learning_rate": 9.942792433494056e-05, + "loss": 0.4277, + "step": 14350 + }, + { + "epoch": 0.5, + "learning_rate": 9.941692300334411e-05, + "loss": 0.6649, + "step": 14351 + }, + { + "epoch": 0.5, + "learning_rate": 9.940592167880485e-05, + "loss": 0.5055, + "step": 14352 + }, + { + "epoch": 0.5, + "learning_rate": 9.939492036145593e-05, + "loss": 0.5273, + "step": 14353 + }, + { + "epoch": 0.5, + "learning_rate": 9.938391905143045e-05, + "loss": 0.566, + "step": 14354 + }, + { + "epoch": 0.5, + "learning_rate": 9.937291774886164e-05, + "loss": 0.511, + "step": 14355 + }, + { + "epoch": 0.5, + "learning_rate": 9.93619164538826e-05, + "loss": 0.5749, + "step": 14356 + }, + { + "epoch": 0.5, + "learning_rate": 9.935091516662648e-05, + "loss": 0.6261, + "step": 14357 + }, + { + "epoch": 0.5, + "learning_rate": 9.933991388722649e-05, + "loss": 0.557, + "step": 14358 + }, + { + "epoch": 0.5, + "learning_rate": 9.93289126158157e-05, + "loss": 0.5258, + "step": 14359 + }, + { + "epoch": 0.5, + "learning_rate": 9.931791135252734e-05, + "loss": 0.5029, + "step": 14360 + }, + { + "epoch": 0.5, + "learning_rate": 9.930691009749452e-05, + "loss": 0.5335, + "step": 14361 + }, + { + "epoch": 0.5, + "learning_rate": 9.929590885085038e-05, + "loss": 0.6382, + "step": 14362 + }, + { + "epoch": 0.5, + "learning_rate": 9.92849076127281e-05, + "loss": 0.5401, + "step": 14363 + }, + { + "epoch": 0.5, + "learning_rate": 9.927390638326081e-05, + "loss": 0.5509, + "step": 14364 + }, + { + "epoch": 0.5, + "learning_rate": 9.92629051625817e-05, + "loss": 0.5166, + "step": 14365 + }, + { + "epoch": 0.5, + "learning_rate": 9.92519039508239e-05, + "loss": 0.6006, + "step": 14366 + }, + { + "epoch": 0.5, + "learning_rate": 9.924090274812055e-05, + "loss": 0.5864, + "step": 14367 + }, + { + "epoch": 0.5, + "learning_rate": 9.922990155460478e-05, + "loss": 0.6476, + "step": 14368 + }, + { + "epoch": 0.5, + "learning_rate": 9.921890037040979e-05, + "loss": 0.5769, + "step": 14369 + }, + { + "epoch": 0.5, + "learning_rate": 9.920789919566872e-05, + "loss": 0.5795, + "step": 14370 + }, + { + "epoch": 0.5, + "learning_rate": 9.919689803051467e-05, + "loss": 0.6302, + "step": 14371 + }, + { + "epoch": 0.5, + "learning_rate": 9.918589687508087e-05, + "loss": 0.5449, + "step": 14372 + }, + { + "epoch": 0.5, + "learning_rate": 9.917489572950039e-05, + "loss": 0.4621, + "step": 14373 + }, + { + "epoch": 0.5, + "learning_rate": 9.916389459390645e-05, + "loss": 0.5325, + "step": 14374 + }, + { + "epoch": 0.5, + "learning_rate": 9.915289346843219e-05, + "loss": 0.5214, + "step": 14375 + }, + { + "epoch": 0.5, + "learning_rate": 9.914189235321071e-05, + "loss": 0.5154, + "step": 14376 + }, + { + "epoch": 0.5, + "learning_rate": 9.91308912483752e-05, + "loss": 0.5018, + "step": 14377 + }, + { + "epoch": 0.5, + "learning_rate": 9.911989015405882e-05, + "loss": 0.4656, + "step": 14378 + }, + { + "epoch": 0.5, + "learning_rate": 9.910888907039468e-05, + "loss": 0.6141, + "step": 14379 + }, + { + "epoch": 0.5, + "learning_rate": 9.909788799751598e-05, + "loss": 0.5424, + "step": 14380 + }, + { + "epoch": 0.5, + "learning_rate": 9.90868869355558e-05, + "loss": 0.5587, + "step": 14381 + }, + { + "epoch": 0.5, + "learning_rate": 9.907588588464737e-05, + "loss": 0.4981, + "step": 14382 + }, + { + "epoch": 0.5, + "learning_rate": 9.906488484492378e-05, + "loss": 0.5407, + "step": 14383 + }, + { + "epoch": 0.5, + "learning_rate": 9.905388381651821e-05, + "loss": 0.6075, + "step": 14384 + }, + { + "epoch": 0.5, + "learning_rate": 9.90428827995638e-05, + "loss": 0.605, + "step": 14385 + }, + { + "epoch": 0.5, + "learning_rate": 9.903188179419369e-05, + "loss": 0.4483, + "step": 14386 + }, + { + "epoch": 0.5, + "learning_rate": 9.902088080054105e-05, + "loss": 0.5744, + "step": 14387 + }, + { + "epoch": 0.5, + "learning_rate": 9.900987981873902e-05, + "loss": 0.6089, + "step": 14388 + }, + { + "epoch": 0.5, + "learning_rate": 9.899887884892072e-05, + "loss": 0.532, + "step": 14389 + }, + { + "epoch": 0.5, + "learning_rate": 9.898787789121935e-05, + "loss": 0.5709, + "step": 14390 + }, + { + "epoch": 0.5, + "learning_rate": 9.8976876945768e-05, + "loss": 0.6205, + "step": 14391 + }, + { + "epoch": 0.5, + "learning_rate": 9.896587601269989e-05, + "loss": 0.7432, + "step": 14392 + }, + { + "epoch": 0.5, + "learning_rate": 9.895487509214812e-05, + "loss": 0.5582, + "step": 14393 + }, + { + "epoch": 0.5, + "learning_rate": 9.894387418424582e-05, + "loss": 0.5614, + "step": 14394 + }, + { + "epoch": 0.5, + "learning_rate": 9.893287328912617e-05, + "loss": 0.6256, + "step": 14395 + }, + { + "epoch": 0.5, + "learning_rate": 9.892187240692232e-05, + "loss": 0.5941, + "step": 14396 + }, + { + "epoch": 0.5, + "learning_rate": 9.89108715377674e-05, + "loss": 0.5118, + "step": 14397 + }, + { + "epoch": 0.5, + "learning_rate": 9.889987068179457e-05, + "loss": 0.6354, + "step": 14398 + }, + { + "epoch": 0.5, + "learning_rate": 9.888886983913695e-05, + "loss": 0.5775, + "step": 14399 + }, + { + "epoch": 0.5, + "learning_rate": 9.887786900992775e-05, + "loss": 0.6572, + "step": 14400 + }, + { + "epoch": 0.5, + "eval_loss": 0.5487639307975769, + "eval_runtime": 843.9853, + "eval_samples_per_second": 28.508, + "eval_steps_per_second": 14.254, + "step": 14400 + }, + { + "epoch": 0.5, + "learning_rate": 9.886686819430006e-05, + "loss": 0.5631, + "step": 14401 + }, + { + "epoch": 0.5, + "learning_rate": 9.885586739238703e-05, + "loss": 0.6072, + "step": 14402 + }, + { + "epoch": 0.5, + "learning_rate": 9.884486660432182e-05, + "loss": 0.5003, + "step": 14403 + }, + { + "epoch": 0.5, + "learning_rate": 9.883386583023756e-05, + "loss": 0.5545, + "step": 14404 + }, + { + "epoch": 0.5, + "learning_rate": 9.882286507026745e-05, + "loss": 0.5915, + "step": 14405 + }, + { + "epoch": 0.5, + "learning_rate": 9.88118643245446e-05, + "loss": 0.5749, + "step": 14406 + }, + { + "epoch": 0.5, + "learning_rate": 9.880086359320209e-05, + "loss": 0.6309, + "step": 14407 + }, + { + "epoch": 0.5, + "learning_rate": 9.878986287637318e-05, + "loss": 0.8132, + "step": 14408 + }, + { + "epoch": 0.5, + "learning_rate": 9.877886217419096e-05, + "loss": 0.6478, + "step": 14409 + }, + { + "epoch": 0.5, + "learning_rate": 9.876786148678856e-05, + "loss": 0.5312, + "step": 14410 + }, + { + "epoch": 0.5, + "learning_rate": 9.875686081429916e-05, + "loss": 0.5428, + "step": 14411 + }, + { + "epoch": 0.5, + "learning_rate": 9.874586015685586e-05, + "loss": 0.5827, + "step": 14412 + }, + { + "epoch": 0.5, + "learning_rate": 9.873485951459187e-05, + "loss": 0.6514, + "step": 14413 + }, + { + "epoch": 0.5, + "learning_rate": 9.872385888764029e-05, + "loss": 0.5465, + "step": 14414 + }, + { + "epoch": 0.5, + "learning_rate": 9.871285827613425e-05, + "loss": 0.4965, + "step": 14415 + }, + { + "epoch": 0.5, + "learning_rate": 9.870185768020693e-05, + "loss": 0.5281, + "step": 14416 + }, + { + "epoch": 0.5, + "learning_rate": 9.869085709999144e-05, + "loss": 0.5835, + "step": 14417 + }, + { + "epoch": 0.5, + "learning_rate": 9.867985653562098e-05, + "loss": 0.5404, + "step": 14418 + }, + { + "epoch": 0.5, + "learning_rate": 9.866885598722863e-05, + "loss": 0.6164, + "step": 14419 + }, + { + "epoch": 0.5, + "learning_rate": 9.865785545494756e-05, + "loss": 0.5682, + "step": 14420 + }, + { + "epoch": 0.5, + "learning_rate": 9.864685493891093e-05, + "loss": 0.5776, + "step": 14421 + }, + { + "epoch": 0.5, + "learning_rate": 9.863585443925183e-05, + "loss": 0.5949, + "step": 14422 + }, + { + "epoch": 0.5, + "learning_rate": 9.862485395610347e-05, + "loss": 0.5085, + "step": 14423 + }, + { + "epoch": 0.5, + "learning_rate": 9.861385348959897e-05, + "loss": 0.6075, + "step": 14424 + }, + { + "epoch": 0.5, + "learning_rate": 9.860285303987144e-05, + "loss": 0.4908, + "step": 14425 + }, + { + "epoch": 0.5, + "learning_rate": 9.859185260705404e-05, + "loss": 0.6506, + "step": 14426 + }, + { + "epoch": 0.5, + "learning_rate": 9.858085219127995e-05, + "loss": 0.4995, + "step": 14427 + }, + { + "epoch": 0.5, + "learning_rate": 9.856985179268224e-05, + "loss": 0.6625, + "step": 14428 + }, + { + "epoch": 0.5, + "learning_rate": 9.855885141139413e-05, + "loss": 0.7336, + "step": 14429 + }, + { + "epoch": 0.5, + "learning_rate": 9.854785104754868e-05, + "loss": 0.5746, + "step": 14430 + }, + { + "epoch": 0.5, + "learning_rate": 9.853685070127911e-05, + "loss": 0.5245, + "step": 14431 + }, + { + "epoch": 0.51, + "learning_rate": 9.852585037271853e-05, + "loss": 0.5589, + "step": 14432 + }, + { + "epoch": 0.51, + "learning_rate": 9.851485006200002e-05, + "loss": 0.5388, + "step": 14433 + }, + { + "epoch": 0.51, + "learning_rate": 9.850384976925682e-05, + "loss": 0.4889, + "step": 14434 + }, + { + "epoch": 0.51, + "learning_rate": 9.8492849494622e-05, + "loss": 0.6384, + "step": 14435 + }, + { + "epoch": 0.51, + "learning_rate": 9.848184923822875e-05, + "loss": 0.594, + "step": 14436 + }, + { + "epoch": 0.51, + "learning_rate": 9.847084900021018e-05, + "loss": 0.5422, + "step": 14437 + }, + { + "epoch": 0.51, + "learning_rate": 9.845984878069941e-05, + "loss": 0.5974, + "step": 14438 + }, + { + "epoch": 0.51, + "learning_rate": 9.844884857982963e-05, + "loss": 0.511, + "step": 14439 + }, + { + "epoch": 0.51, + "learning_rate": 9.843784839773394e-05, + "loss": 0.6518, + "step": 14440 + }, + { + "epoch": 0.51, + "learning_rate": 9.84268482345455e-05, + "loss": 0.6108, + "step": 14441 + }, + { + "epoch": 0.51, + "learning_rate": 9.841584809039744e-05, + "loss": 0.4898, + "step": 14442 + }, + { + "epoch": 0.51, + "learning_rate": 9.840484796542288e-05, + "loss": 0.5997, + "step": 14443 + }, + { + "epoch": 0.51, + "learning_rate": 9.839384785975501e-05, + "loss": 0.4524, + "step": 14444 + }, + { + "epoch": 0.51, + "learning_rate": 9.838284777352692e-05, + "loss": 0.6314, + "step": 14445 + }, + { + "epoch": 0.51, + "learning_rate": 9.837184770687175e-05, + "loss": 0.6412, + "step": 14446 + }, + { + "epoch": 0.51, + "learning_rate": 9.836084765992267e-05, + "loss": 0.4925, + "step": 14447 + }, + { + "epoch": 0.51, + "learning_rate": 9.834984763281278e-05, + "loss": 0.5203, + "step": 14448 + }, + { + "epoch": 0.51, + "learning_rate": 9.833884762567525e-05, + "loss": 0.5965, + "step": 14449 + }, + { + "epoch": 0.51, + "learning_rate": 9.83278476386432e-05, + "loss": 0.5463, + "step": 14450 + }, + { + "epoch": 0.51, + "learning_rate": 9.831684767184974e-05, + "loss": 0.6653, + "step": 14451 + }, + { + "epoch": 0.51, + "learning_rate": 9.830584772542806e-05, + "loss": 0.5431, + "step": 14452 + }, + { + "epoch": 0.51, + "learning_rate": 9.829484779951126e-05, + "loss": 0.6168, + "step": 14453 + }, + { + "epoch": 0.51, + "learning_rate": 9.82838478942325e-05, + "loss": 0.5565, + "step": 14454 + }, + { + "epoch": 0.51, + "learning_rate": 9.82728480097249e-05, + "loss": 0.5211, + "step": 14455 + }, + { + "epoch": 0.51, + "learning_rate": 9.826184814612157e-05, + "loss": 0.6141, + "step": 14456 + }, + { + "epoch": 0.51, + "learning_rate": 9.82508483035557e-05, + "loss": 0.5678, + "step": 14457 + }, + { + "epoch": 0.51, + "learning_rate": 9.823984848216039e-05, + "loss": 0.5636, + "step": 14458 + }, + { + "epoch": 0.51, + "learning_rate": 9.822884868206876e-05, + "loss": 0.5304, + "step": 14459 + }, + { + "epoch": 0.51, + "learning_rate": 9.821784890341399e-05, + "loss": 0.5914, + "step": 14460 + }, + { + "epoch": 0.51, + "learning_rate": 9.820684914632917e-05, + "loss": 0.5429, + "step": 14461 + }, + { + "epoch": 0.51, + "learning_rate": 9.819584941094747e-05, + "loss": 0.5797, + "step": 14462 + }, + { + "epoch": 0.51, + "learning_rate": 9.8184849697402e-05, + "loss": 0.498, + "step": 14463 + }, + { + "epoch": 0.51, + "learning_rate": 9.81738500058259e-05, + "loss": 0.5531, + "step": 14464 + }, + { + "epoch": 0.51, + "learning_rate": 9.81628503363523e-05, + "loss": 0.6235, + "step": 14465 + }, + { + "epoch": 0.51, + "learning_rate": 9.815185068911433e-05, + "loss": 0.5896, + "step": 14466 + }, + { + "epoch": 0.51, + "learning_rate": 9.814085106424514e-05, + "loss": 0.6426, + "step": 14467 + }, + { + "epoch": 0.51, + "learning_rate": 9.812985146187785e-05, + "loss": 0.5522, + "step": 14468 + }, + { + "epoch": 0.51, + "learning_rate": 9.811885188214557e-05, + "loss": 0.5509, + "step": 14469 + }, + { + "epoch": 0.51, + "learning_rate": 9.810785232518148e-05, + "loss": 0.5669, + "step": 14470 + }, + { + "epoch": 0.51, + "learning_rate": 9.809685279111864e-05, + "loss": 0.5237, + "step": 14471 + }, + { + "epoch": 0.51, + "learning_rate": 9.808585328009027e-05, + "loss": 0.5829, + "step": 14472 + }, + { + "epoch": 0.51, + "learning_rate": 9.807485379222944e-05, + "loss": 0.5166, + "step": 14473 + }, + { + "epoch": 0.51, + "learning_rate": 9.80638543276693e-05, + "loss": 0.4819, + "step": 14474 + }, + { + "epoch": 0.51, + "learning_rate": 9.805285488654297e-05, + "loss": 0.5977, + "step": 14475 + }, + { + "epoch": 0.51, + "learning_rate": 9.804185546898361e-05, + "loss": 0.5022, + "step": 14476 + }, + { + "epoch": 0.51, + "learning_rate": 9.80308560751243e-05, + "loss": 0.5635, + "step": 14477 + }, + { + "epoch": 0.51, + "learning_rate": 9.801985670509822e-05, + "loss": 0.495, + "step": 14478 + }, + { + "epoch": 0.51, + "learning_rate": 9.800885735903843e-05, + "loss": 0.4514, + "step": 14479 + }, + { + "epoch": 0.51, + "learning_rate": 9.799785803707815e-05, + "loss": 0.5305, + "step": 14480 + }, + { + "epoch": 0.51, + "learning_rate": 9.798685873935046e-05, + "loss": 0.5784, + "step": 14481 + }, + { + "epoch": 0.51, + "learning_rate": 9.797585946598845e-05, + "loss": 0.5702, + "step": 14482 + }, + { + "epoch": 0.51, + "learning_rate": 9.796486021712531e-05, + "loss": 0.5593, + "step": 14483 + }, + { + "epoch": 0.51, + "learning_rate": 9.795386099289414e-05, + "loss": 0.507, + "step": 14484 + }, + { + "epoch": 0.51, + "learning_rate": 9.794286179342809e-05, + "loss": 0.4777, + "step": 14485 + }, + { + "epoch": 0.51, + "learning_rate": 9.793186261886028e-05, + "loss": 0.5935, + "step": 14486 + }, + { + "epoch": 0.51, + "learning_rate": 9.792086346932378e-05, + "loss": 0.6288, + "step": 14487 + }, + { + "epoch": 0.51, + "learning_rate": 9.79098643449518e-05, + "loss": 0.6835, + "step": 14488 + }, + { + "epoch": 0.51, + "learning_rate": 9.789886524587739e-05, + "loss": 0.5749, + "step": 14489 + }, + { + "epoch": 0.51, + "learning_rate": 9.788786617223376e-05, + "loss": 0.5948, + "step": 14490 + }, + { + "epoch": 0.51, + "learning_rate": 9.787686712415398e-05, + "loss": 0.5648, + "step": 14491 + }, + { + "epoch": 0.51, + "learning_rate": 9.786586810177116e-05, + "loss": 0.6627, + "step": 14492 + }, + { + "epoch": 0.51, + "learning_rate": 9.785486910521847e-05, + "loss": 0.4932, + "step": 14493 + }, + { + "epoch": 0.51, + "learning_rate": 9.784387013462903e-05, + "loss": 0.5362, + "step": 14494 + }, + { + "epoch": 0.51, + "learning_rate": 9.783287119013591e-05, + "loss": 0.5175, + "step": 14495 + }, + { + "epoch": 0.51, + "learning_rate": 9.782187227187231e-05, + "loss": 0.5027, + "step": 14496 + }, + { + "epoch": 0.51, + "learning_rate": 9.781087337997128e-05, + "loss": 0.5327, + "step": 14497 + }, + { + "epoch": 0.51, + "learning_rate": 9.7799874514566e-05, + "loss": 0.5973, + "step": 14498 + }, + { + "epoch": 0.51, + "learning_rate": 9.778887567578958e-05, + "loss": 0.4774, + "step": 14499 + }, + { + "epoch": 0.51, + "learning_rate": 9.777787686377511e-05, + "loss": 0.4575, + "step": 14500 + }, + { + "epoch": 0.51, + "learning_rate": 9.776687807865579e-05, + "loss": 0.5011, + "step": 14501 + }, + { + "epoch": 0.51, + "learning_rate": 9.775587932056466e-05, + "loss": 0.5857, + "step": 14502 + }, + { + "epoch": 0.51, + "learning_rate": 9.774488058963487e-05, + "loss": 0.4452, + "step": 14503 + }, + { + "epoch": 0.51, + "learning_rate": 9.773388188599952e-05, + "loss": 0.6235, + "step": 14504 + }, + { + "epoch": 0.51, + "learning_rate": 9.772288320979178e-05, + "loss": 0.717, + "step": 14505 + }, + { + "epoch": 0.51, + "learning_rate": 9.771188456114472e-05, + "loss": 0.5492, + "step": 14506 + }, + { + "epoch": 0.51, + "learning_rate": 9.77008859401915e-05, + "loss": 0.5158, + "step": 14507 + }, + { + "epoch": 0.51, + "learning_rate": 9.768988734706523e-05, + "loss": 0.4955, + "step": 14508 + }, + { + "epoch": 0.51, + "learning_rate": 9.7678888781899e-05, + "loss": 0.5385, + "step": 14509 + }, + { + "epoch": 0.51, + "learning_rate": 9.766789024482598e-05, + "loss": 0.4823, + "step": 14510 + }, + { + "epoch": 0.51, + "learning_rate": 9.765689173597925e-05, + "loss": 0.5101, + "step": 14511 + }, + { + "epoch": 0.51, + "learning_rate": 9.764589325549193e-05, + "loss": 0.5896, + "step": 14512 + }, + { + "epoch": 0.51, + "learning_rate": 9.763489480349717e-05, + "loss": 0.5136, + "step": 14513 + }, + { + "epoch": 0.51, + "learning_rate": 9.762389638012804e-05, + "loss": 0.4455, + "step": 14514 + }, + { + "epoch": 0.51, + "learning_rate": 9.76128979855177e-05, + "loss": 0.5368, + "step": 14515 + }, + { + "epoch": 0.51, + "learning_rate": 9.760189961979926e-05, + "loss": 0.561, + "step": 14516 + }, + { + "epoch": 0.51, + "learning_rate": 9.759090128310581e-05, + "loss": 0.5716, + "step": 14517 + }, + { + "epoch": 0.51, + "learning_rate": 9.75799029755705e-05, + "loss": 0.6004, + "step": 14518 + }, + { + "epoch": 0.51, + "learning_rate": 9.756890469732642e-05, + "loss": 0.5791, + "step": 14519 + }, + { + "epoch": 0.51, + "learning_rate": 9.755790644850671e-05, + "loss": 0.6333, + "step": 14520 + }, + { + "epoch": 0.51, + "learning_rate": 9.754690822924447e-05, + "loss": 0.4402, + "step": 14521 + }, + { + "epoch": 0.51, + "learning_rate": 9.75359100396728e-05, + "loss": 0.5362, + "step": 14522 + }, + { + "epoch": 0.51, + "learning_rate": 9.752491187992487e-05, + "loss": 0.4906, + "step": 14523 + }, + { + "epoch": 0.51, + "learning_rate": 9.751391375013372e-05, + "loss": 0.6409, + "step": 14524 + }, + { + "epoch": 0.51, + "learning_rate": 9.750291565043251e-05, + "loss": 0.5256, + "step": 14525 + }, + { + "epoch": 0.51, + "learning_rate": 9.749191758095437e-05, + "loss": 0.4863, + "step": 14526 + }, + { + "epoch": 0.51, + "learning_rate": 9.748091954183234e-05, + "loss": 0.5328, + "step": 14527 + }, + { + "epoch": 0.51, + "learning_rate": 9.746992153319961e-05, + "loss": 0.6298, + "step": 14528 + }, + { + "epoch": 0.51, + "learning_rate": 9.745892355518928e-05, + "loss": 0.682, + "step": 14529 + }, + { + "epoch": 0.51, + "learning_rate": 9.74479256079344e-05, + "loss": 0.5295, + "step": 14530 + }, + { + "epoch": 0.51, + "learning_rate": 9.743692769156817e-05, + "loss": 0.543, + "step": 14531 + }, + { + "epoch": 0.51, + "learning_rate": 9.742592980622363e-05, + "loss": 0.511, + "step": 14532 + }, + { + "epoch": 0.51, + "learning_rate": 9.741493195203394e-05, + "loss": 0.6376, + "step": 14533 + }, + { + "epoch": 0.51, + "learning_rate": 9.740393412913219e-05, + "loss": 0.6029, + "step": 14534 + }, + { + "epoch": 0.51, + "learning_rate": 9.739293633765148e-05, + "loss": 0.5155, + "step": 14535 + }, + { + "epoch": 0.51, + "learning_rate": 9.738193857772493e-05, + "loss": 0.4827, + "step": 14536 + }, + { + "epoch": 0.51, + "learning_rate": 9.737094084948565e-05, + "loss": 0.4659, + "step": 14537 + }, + { + "epoch": 0.51, + "learning_rate": 9.735994315306676e-05, + "loss": 0.6028, + "step": 14538 + }, + { + "epoch": 0.51, + "learning_rate": 9.734894548860136e-05, + "loss": 0.5714, + "step": 14539 + }, + { + "epoch": 0.51, + "learning_rate": 9.733794785622253e-05, + "loss": 0.6404, + "step": 14540 + }, + { + "epoch": 0.51, + "learning_rate": 9.732695025606345e-05, + "loss": 0.5595, + "step": 14541 + }, + { + "epoch": 0.51, + "learning_rate": 9.731595268825713e-05, + "loss": 0.5281, + "step": 14542 + }, + { + "epoch": 0.51, + "learning_rate": 9.730495515293677e-05, + "loss": 0.5029, + "step": 14543 + }, + { + "epoch": 0.51, + "learning_rate": 9.729395765023543e-05, + "loss": 0.5453, + "step": 14544 + }, + { + "epoch": 0.51, + "learning_rate": 9.72829601802862e-05, + "loss": 0.5129, + "step": 14545 + }, + { + "epoch": 0.51, + "learning_rate": 9.727196274322223e-05, + "loss": 0.5246, + "step": 14546 + }, + { + "epoch": 0.51, + "learning_rate": 9.726096533917661e-05, + "loss": 0.5937, + "step": 14547 + }, + { + "epoch": 0.51, + "learning_rate": 9.724996796828242e-05, + "loss": 0.5304, + "step": 14548 + }, + { + "epoch": 0.51, + "learning_rate": 9.72389706306728e-05, + "loss": 0.5037, + "step": 14549 + }, + { + "epoch": 0.51, + "learning_rate": 9.722797332648081e-05, + "loss": 0.4956, + "step": 14550 + }, + { + "epoch": 0.51, + "learning_rate": 9.721697605583961e-05, + "loss": 0.4888, + "step": 14551 + }, + { + "epoch": 0.51, + "learning_rate": 9.72059788188823e-05, + "loss": 0.5739, + "step": 14552 + }, + { + "epoch": 0.51, + "learning_rate": 9.719498161574192e-05, + "loss": 0.4963, + "step": 14553 + }, + { + "epoch": 0.51, + "learning_rate": 9.718398444655163e-05, + "loss": 0.6034, + "step": 14554 + }, + { + "epoch": 0.51, + "learning_rate": 9.717298731144448e-05, + "loss": 0.5399, + "step": 14555 + }, + { + "epoch": 0.51, + "learning_rate": 9.716199021055365e-05, + "loss": 0.5111, + "step": 14556 + }, + { + "epoch": 0.51, + "learning_rate": 9.715099314401221e-05, + "loss": 0.5049, + "step": 14557 + }, + { + "epoch": 0.51, + "learning_rate": 9.71399961119532e-05, + "loss": 0.6021, + "step": 14558 + }, + { + "epoch": 0.51, + "learning_rate": 9.712899911450982e-05, + "loss": 0.5565, + "step": 14559 + }, + { + "epoch": 0.51, + "learning_rate": 9.71180021518151e-05, + "loss": 0.5245, + "step": 14560 + }, + { + "epoch": 0.51, + "learning_rate": 9.710700522400214e-05, + "loss": 0.4773, + "step": 14561 + }, + { + "epoch": 0.51, + "learning_rate": 9.709600833120409e-05, + "loss": 0.552, + "step": 14562 + }, + { + "epoch": 0.51, + "learning_rate": 9.7085011473554e-05, + "loss": 0.5143, + "step": 14563 + }, + { + "epoch": 0.51, + "learning_rate": 9.707401465118501e-05, + "loss": 0.5672, + "step": 14564 + }, + { + "epoch": 0.51, + "learning_rate": 9.706301786423018e-05, + "loss": 0.4927, + "step": 14565 + }, + { + "epoch": 0.51, + "learning_rate": 9.705202111282262e-05, + "loss": 0.5668, + "step": 14566 + }, + { + "epoch": 0.51, + "learning_rate": 9.704102439709545e-05, + "loss": 0.5029, + "step": 14567 + }, + { + "epoch": 0.51, + "learning_rate": 9.703002771718172e-05, + "loss": 0.6386, + "step": 14568 + }, + { + "epoch": 0.51, + "learning_rate": 9.701903107321459e-05, + "loss": 0.4825, + "step": 14569 + }, + { + "epoch": 0.51, + "learning_rate": 9.700803446532711e-05, + "loss": 0.6366, + "step": 14570 + }, + { + "epoch": 0.51, + "learning_rate": 9.699703789365236e-05, + "loss": 0.6228, + "step": 14571 + }, + { + "epoch": 0.51, + "learning_rate": 9.698604135832349e-05, + "loss": 0.576, + "step": 14572 + }, + { + "epoch": 0.51, + "learning_rate": 9.697504485947356e-05, + "loss": 0.5672, + "step": 14573 + }, + { + "epoch": 0.51, + "learning_rate": 9.696404839723566e-05, + "loss": 0.5048, + "step": 14574 + }, + { + "epoch": 0.51, + "learning_rate": 9.695305197174291e-05, + "loss": 0.5574, + "step": 14575 + }, + { + "epoch": 0.51, + "learning_rate": 9.694205558312837e-05, + "loss": 0.5489, + "step": 14576 + }, + { + "epoch": 0.51, + "learning_rate": 9.693105923152517e-05, + "loss": 0.5755, + "step": 14577 + }, + { + "epoch": 0.51, + "learning_rate": 9.692006291706639e-05, + "loss": 0.6132, + "step": 14578 + }, + { + "epoch": 0.51, + "learning_rate": 9.690906663988509e-05, + "loss": 0.4875, + "step": 14579 + }, + { + "epoch": 0.51, + "learning_rate": 9.68980704001144e-05, + "loss": 0.5605, + "step": 14580 + }, + { + "epoch": 0.51, + "learning_rate": 9.688707419788739e-05, + "loss": 0.6591, + "step": 14581 + }, + { + "epoch": 0.51, + "learning_rate": 9.687607803333717e-05, + "loss": 0.5573, + "step": 14582 + }, + { + "epoch": 0.51, + "learning_rate": 9.686508190659682e-05, + "loss": 0.6153, + "step": 14583 + }, + { + "epoch": 0.51, + "learning_rate": 9.685408581779942e-05, + "loss": 0.4973, + "step": 14584 + }, + { + "epoch": 0.51, + "learning_rate": 9.684308976707808e-05, + "loss": 0.4969, + "step": 14585 + }, + { + "epoch": 0.51, + "learning_rate": 9.683209375456586e-05, + "loss": 0.5595, + "step": 14586 + }, + { + "epoch": 0.51, + "learning_rate": 9.682109778039588e-05, + "loss": 0.4745, + "step": 14587 + }, + { + "epoch": 0.51, + "learning_rate": 9.681010184470121e-05, + "loss": 0.521, + "step": 14588 + }, + { + "epoch": 0.51, + "learning_rate": 9.679910594761493e-05, + "loss": 0.6186, + "step": 14589 + }, + { + "epoch": 0.51, + "learning_rate": 9.678811008927016e-05, + "loss": 0.5432, + "step": 14590 + }, + { + "epoch": 0.51, + "learning_rate": 9.677711426979993e-05, + "loss": 0.6339, + "step": 14591 + }, + { + "epoch": 0.51, + "learning_rate": 9.67661184893374e-05, + "loss": 0.6219, + "step": 14592 + }, + { + "epoch": 0.51, + "learning_rate": 9.67551227480156e-05, + "loss": 0.5279, + "step": 14593 + }, + { + "epoch": 0.51, + "learning_rate": 9.674412704596763e-05, + "loss": 0.5921, + "step": 14594 + }, + { + "epoch": 0.51, + "learning_rate": 9.673313138332658e-05, + "loss": 0.5614, + "step": 14595 + }, + { + "epoch": 0.51, + "learning_rate": 9.672213576022554e-05, + "loss": 0.5742, + "step": 14596 + }, + { + "epoch": 0.51, + "learning_rate": 9.671114017679755e-05, + "loss": 0.5075, + "step": 14597 + }, + { + "epoch": 0.51, + "learning_rate": 9.670014463317576e-05, + "loss": 0.5636, + "step": 14598 + }, + { + "epoch": 0.51, + "learning_rate": 9.66891491294932e-05, + "loss": 0.5635, + "step": 14599 + }, + { + "epoch": 0.51, + "learning_rate": 9.667815366588298e-05, + "loss": 0.6108, + "step": 14600 + }, + { + "epoch": 0.51, + "eval_loss": 0.5440958142280579, + "eval_runtime": 853.0607, + "eval_samples_per_second": 28.204, + "eval_steps_per_second": 14.102, + "step": 14600 + }, + { + "epoch": 0.51, + "learning_rate": 9.666715824247819e-05, + "loss": 0.5183, + "step": 14601 + }, + { + "epoch": 0.51, + "learning_rate": 9.665616285941186e-05, + "loss": 0.48, + "step": 14602 + }, + { + "epoch": 0.51, + "learning_rate": 9.664516751681714e-05, + "loss": 0.5643, + "step": 14603 + }, + { + "epoch": 0.51, + "learning_rate": 9.663417221482704e-05, + "loss": 0.6001, + "step": 14604 + }, + { + "epoch": 0.51, + "learning_rate": 9.662317695357472e-05, + "loss": 0.6235, + "step": 14605 + }, + { + "epoch": 0.51, + "learning_rate": 9.661218173319318e-05, + "loss": 0.5215, + "step": 14606 + }, + { + "epoch": 0.51, + "learning_rate": 9.660118655381555e-05, + "loss": 0.5374, + "step": 14607 + }, + { + "epoch": 0.51, + "learning_rate": 9.659019141557489e-05, + "loss": 0.5324, + "step": 14608 + }, + { + "epoch": 0.51, + "learning_rate": 9.657919631860429e-05, + "loss": 0.4571, + "step": 14609 + }, + { + "epoch": 0.51, + "learning_rate": 9.65682012630368e-05, + "loss": 0.517, + "step": 14610 + }, + { + "epoch": 0.51, + "learning_rate": 9.655720624900552e-05, + "loss": 0.56, + "step": 14611 + }, + { + "epoch": 0.51, + "learning_rate": 9.654621127664351e-05, + "loss": 0.536, + "step": 14612 + }, + { + "epoch": 0.51, + "learning_rate": 9.653521634608388e-05, + "loss": 0.4693, + "step": 14613 + }, + { + "epoch": 0.51, + "learning_rate": 9.652422145745967e-05, + "loss": 0.5176, + "step": 14614 + }, + { + "epoch": 0.51, + "learning_rate": 9.651322661090397e-05, + "loss": 0.5736, + "step": 14615 + }, + { + "epoch": 0.51, + "learning_rate": 9.650223180654984e-05, + "loss": 0.525, + "step": 14616 + }, + { + "epoch": 0.51, + "learning_rate": 9.649123704453038e-05, + "loss": 0.7036, + "step": 14617 + }, + { + "epoch": 0.51, + "learning_rate": 9.648024232497864e-05, + "loss": 0.5051, + "step": 14618 + }, + { + "epoch": 0.51, + "learning_rate": 9.646924764802771e-05, + "loss": 0.5772, + "step": 14619 + }, + { + "epoch": 0.51, + "learning_rate": 9.645825301381063e-05, + "loss": 0.6369, + "step": 14620 + }, + { + "epoch": 0.51, + "learning_rate": 9.644725842246052e-05, + "loss": 0.5874, + "step": 14621 + }, + { + "epoch": 0.51, + "learning_rate": 9.64362638741104e-05, + "loss": 0.5828, + "step": 14622 + }, + { + "epoch": 0.51, + "learning_rate": 9.642526936889339e-05, + "loss": 0.5772, + "step": 14623 + }, + { + "epoch": 0.51, + "learning_rate": 9.641427490694254e-05, + "loss": 0.5373, + "step": 14624 + }, + { + "epoch": 0.51, + "learning_rate": 9.640328048839089e-05, + "loss": 0.4969, + "step": 14625 + }, + { + "epoch": 0.51, + "learning_rate": 9.639228611337157e-05, + "loss": 0.5002, + "step": 14626 + }, + { + "epoch": 0.51, + "learning_rate": 9.63812917820176e-05, + "loss": 0.62, + "step": 14627 + }, + { + "epoch": 0.51, + "learning_rate": 9.637029749446205e-05, + "loss": 0.5043, + "step": 14628 + }, + { + "epoch": 0.51, + "learning_rate": 9.6359303250838e-05, + "loss": 0.5214, + "step": 14629 + }, + { + "epoch": 0.51, + "learning_rate": 9.634830905127851e-05, + "loss": 0.5164, + "step": 14630 + }, + { + "epoch": 0.51, + "learning_rate": 9.633731489591668e-05, + "loss": 0.4254, + "step": 14631 + }, + { + "epoch": 0.51, + "learning_rate": 9.632632078488555e-05, + "loss": 0.6342, + "step": 14632 + }, + { + "epoch": 0.51, + "learning_rate": 9.631532671831816e-05, + "loss": 0.5029, + "step": 14633 + }, + { + "epoch": 0.51, + "learning_rate": 9.630433269634762e-05, + "loss": 0.4758, + "step": 14634 + }, + { + "epoch": 0.51, + "learning_rate": 9.6293338719107e-05, + "loss": 0.6189, + "step": 14635 + }, + { + "epoch": 0.51, + "learning_rate": 9.62823447867293e-05, + "loss": 0.5512, + "step": 14636 + }, + { + "epoch": 0.51, + "learning_rate": 9.627135089934761e-05, + "loss": 0.5532, + "step": 14637 + }, + { + "epoch": 0.51, + "learning_rate": 9.626035705709503e-05, + "loss": 0.5545, + "step": 14638 + }, + { + "epoch": 0.51, + "learning_rate": 9.624936326010457e-05, + "loss": 0.6135, + "step": 14639 + }, + { + "epoch": 0.51, + "learning_rate": 9.623836950850933e-05, + "loss": 0.5406, + "step": 14640 + }, + { + "epoch": 0.51, + "learning_rate": 9.622737580244236e-05, + "loss": 0.6232, + "step": 14641 + }, + { + "epoch": 0.51, + "learning_rate": 9.621638214203671e-05, + "loss": 0.6375, + "step": 14642 + }, + { + "epoch": 0.51, + "learning_rate": 9.620538852742546e-05, + "loss": 0.5797, + "step": 14643 + }, + { + "epoch": 0.51, + "learning_rate": 9.619439495874164e-05, + "loss": 0.601, + "step": 14644 + }, + { + "epoch": 0.51, + "learning_rate": 9.618340143611835e-05, + "loss": 0.6596, + "step": 14645 + }, + { + "epoch": 0.51, + "learning_rate": 9.617240795968861e-05, + "loss": 0.4878, + "step": 14646 + }, + { + "epoch": 0.51, + "learning_rate": 9.616141452958549e-05, + "loss": 0.5336, + "step": 14647 + }, + { + "epoch": 0.51, + "learning_rate": 9.615042114594206e-05, + "loss": 0.505, + "step": 14648 + }, + { + "epoch": 0.51, + "learning_rate": 9.613942780889138e-05, + "loss": 0.4071, + "step": 14649 + }, + { + "epoch": 0.51, + "learning_rate": 9.612843451856646e-05, + "loss": 0.6403, + "step": 14650 + }, + { + "epoch": 0.51, + "learning_rate": 9.61174412751004e-05, + "loss": 0.5489, + "step": 14651 + }, + { + "epoch": 0.51, + "learning_rate": 9.610644807862625e-05, + "loss": 0.535, + "step": 14652 + }, + { + "epoch": 0.51, + "learning_rate": 9.609545492927705e-05, + "loss": 0.549, + "step": 14653 + }, + { + "epoch": 0.51, + "learning_rate": 9.608446182718588e-05, + "loss": 0.5068, + "step": 14654 + }, + { + "epoch": 0.51, + "learning_rate": 9.607346877248574e-05, + "loss": 0.5505, + "step": 14655 + }, + { + "epoch": 0.51, + "learning_rate": 9.606247576530975e-05, + "loss": 0.4755, + "step": 14656 + }, + { + "epoch": 0.51, + "learning_rate": 9.605148280579089e-05, + "loss": 0.6366, + "step": 14657 + }, + { + "epoch": 0.51, + "learning_rate": 9.60404898940623e-05, + "loss": 0.5122, + "step": 14658 + }, + { + "epoch": 0.51, + "learning_rate": 9.602949703025696e-05, + "loss": 0.535, + "step": 14659 + }, + { + "epoch": 0.51, + "learning_rate": 9.601850421450792e-05, + "loss": 0.4861, + "step": 14660 + }, + { + "epoch": 0.51, + "learning_rate": 9.600751144694827e-05, + "loss": 0.6706, + "step": 14661 + }, + { + "epoch": 0.51, + "learning_rate": 9.599651872771105e-05, + "loss": 0.5315, + "step": 14662 + }, + { + "epoch": 0.51, + "learning_rate": 9.598552605692927e-05, + "loss": 0.5509, + "step": 14663 + }, + { + "epoch": 0.51, + "learning_rate": 9.597453343473604e-05, + "loss": 0.565, + "step": 14664 + }, + { + "epoch": 0.51, + "learning_rate": 9.596354086126435e-05, + "loss": 0.4684, + "step": 14665 + }, + { + "epoch": 0.51, + "learning_rate": 9.595254833664728e-05, + "loss": 0.618, + "step": 14666 + }, + { + "epoch": 0.51, + "learning_rate": 9.594155586101787e-05, + "loss": 0.579, + "step": 14667 + }, + { + "epoch": 0.51, + "learning_rate": 9.593056343450914e-05, + "loss": 0.5162, + "step": 14668 + }, + { + "epoch": 0.51, + "learning_rate": 9.591957105725419e-05, + "loss": 0.585, + "step": 14669 + }, + { + "epoch": 0.51, + "learning_rate": 9.5908578729386e-05, + "loss": 0.4538, + "step": 14670 + }, + { + "epoch": 0.51, + "learning_rate": 9.589758645103768e-05, + "loss": 0.6356, + "step": 14671 + }, + { + "epoch": 0.51, + "learning_rate": 9.588659422234223e-05, + "loss": 0.5069, + "step": 14672 + }, + { + "epoch": 0.51, + "learning_rate": 9.587560204343268e-05, + "loss": 0.5497, + "step": 14673 + }, + { + "epoch": 0.51, + "learning_rate": 9.586460991444213e-05, + "loss": 0.4827, + "step": 14674 + }, + { + "epoch": 0.51, + "learning_rate": 9.585361783550353e-05, + "loss": 0.469, + "step": 14675 + }, + { + "epoch": 0.51, + "learning_rate": 9.584262580675003e-05, + "loss": 0.5262, + "step": 14676 + }, + { + "epoch": 0.51, + "learning_rate": 9.58316338283146e-05, + "loss": 0.5295, + "step": 14677 + }, + { + "epoch": 0.51, + "learning_rate": 9.58206419003303e-05, + "loss": 0.6153, + "step": 14678 + }, + { + "epoch": 0.51, + "learning_rate": 9.580965002293015e-05, + "loss": 0.711, + "step": 14679 + }, + { + "epoch": 0.51, + "learning_rate": 9.579865819624721e-05, + "loss": 0.5406, + "step": 14680 + }, + { + "epoch": 0.51, + "learning_rate": 9.57876664204145e-05, + "loss": 0.5417, + "step": 14681 + }, + { + "epoch": 0.51, + "learning_rate": 9.57766746955651e-05, + "loss": 0.5591, + "step": 14682 + }, + { + "epoch": 0.51, + "learning_rate": 9.576568302183198e-05, + "loss": 0.5488, + "step": 14683 + }, + { + "epoch": 0.51, + "learning_rate": 9.575469139934823e-05, + "loss": 0.5756, + "step": 14684 + }, + { + "epoch": 0.51, + "learning_rate": 9.574369982824686e-05, + "loss": 0.5968, + "step": 14685 + }, + { + "epoch": 0.51, + "learning_rate": 9.573270830866091e-05, + "loss": 0.5846, + "step": 14686 + }, + { + "epoch": 0.51, + "learning_rate": 9.57217168407234e-05, + "loss": 0.4764, + "step": 14687 + }, + { + "epoch": 0.51, + "learning_rate": 9.571072542456738e-05, + "loss": 0.6323, + "step": 14688 + }, + { + "epoch": 0.51, + "learning_rate": 9.56997340603259e-05, + "loss": 0.5892, + "step": 14689 + }, + { + "epoch": 0.51, + "learning_rate": 9.568874274813197e-05, + "loss": 0.6026, + "step": 14690 + }, + { + "epoch": 0.51, + "learning_rate": 9.567775148811861e-05, + "loss": 0.4605, + "step": 14691 + }, + { + "epoch": 0.51, + "learning_rate": 9.566676028041889e-05, + "loss": 0.532, + "step": 14692 + }, + { + "epoch": 0.51, + "learning_rate": 9.565576912516577e-05, + "loss": 0.5991, + "step": 14693 + }, + { + "epoch": 0.51, + "learning_rate": 9.564477802249236e-05, + "loss": 0.5316, + "step": 14694 + }, + { + "epoch": 0.51, + "learning_rate": 9.563378697253167e-05, + "loss": 0.5854, + "step": 14695 + }, + { + "epoch": 0.51, + "learning_rate": 9.562279597541667e-05, + "loss": 0.4872, + "step": 14696 + }, + { + "epoch": 0.51, + "learning_rate": 9.561180503128045e-05, + "loss": 0.6212, + "step": 14697 + }, + { + "epoch": 0.51, + "learning_rate": 9.560081414025603e-05, + "loss": 0.6486, + "step": 14698 + }, + { + "epoch": 0.51, + "learning_rate": 9.55898233024764e-05, + "loss": 0.6302, + "step": 14699 + }, + { + "epoch": 0.51, + "learning_rate": 9.557883251807462e-05, + "loss": 0.6806, + "step": 14700 + }, + { + "epoch": 0.51, + "learning_rate": 9.55678417871837e-05, + "loss": 0.5283, + "step": 14701 + }, + { + "epoch": 0.51, + "learning_rate": 9.555685110993667e-05, + "loss": 0.4896, + "step": 14702 + }, + { + "epoch": 0.51, + "learning_rate": 9.554586048646657e-05, + "loss": 0.5844, + "step": 14703 + }, + { + "epoch": 0.51, + "learning_rate": 9.553486991690638e-05, + "loss": 0.5818, + "step": 14704 + }, + { + "epoch": 0.51, + "learning_rate": 9.552387940138917e-05, + "loss": 0.5616, + "step": 14705 + }, + { + "epoch": 0.51, + "learning_rate": 9.55128889400479e-05, + "loss": 0.5194, + "step": 14706 + }, + { + "epoch": 0.51, + "learning_rate": 9.550189853301567e-05, + "loss": 0.4133, + "step": 14707 + }, + { + "epoch": 0.51, + "learning_rate": 9.549090818042547e-05, + "loss": 0.6001, + "step": 14708 + }, + { + "epoch": 0.51, + "learning_rate": 9.547991788241028e-05, + "loss": 0.6067, + "step": 14709 + }, + { + "epoch": 0.51, + "learning_rate": 9.546892763910316e-05, + "loss": 0.5789, + "step": 14710 + }, + { + "epoch": 0.51, + "learning_rate": 9.545793745063714e-05, + "loss": 0.4615, + "step": 14711 + }, + { + "epoch": 0.51, + "learning_rate": 9.544694731714519e-05, + "loss": 0.5553, + "step": 14712 + }, + { + "epoch": 0.51, + "learning_rate": 9.543595723876038e-05, + "loss": 0.5682, + "step": 14713 + }, + { + "epoch": 0.51, + "learning_rate": 9.542496721561566e-05, + "loss": 0.6098, + "step": 14714 + }, + { + "epoch": 0.51, + "learning_rate": 9.541397724784413e-05, + "loss": 0.5703, + "step": 14715 + }, + { + "epoch": 0.51, + "learning_rate": 9.540298733557877e-05, + "loss": 0.5746, + "step": 14716 + }, + { + "epoch": 0.52, + "learning_rate": 9.539199747895254e-05, + "loss": 0.5702, + "step": 14717 + }, + { + "epoch": 0.52, + "learning_rate": 9.538100767809853e-05, + "loss": 0.513, + "step": 14718 + }, + { + "epoch": 0.52, + "learning_rate": 9.537001793314972e-05, + "loss": 0.5302, + "step": 14719 + }, + { + "epoch": 0.52, + "learning_rate": 9.535902824423912e-05, + "loss": 0.6188, + "step": 14720 + }, + { + "epoch": 0.52, + "learning_rate": 9.534803861149976e-05, + "loss": 0.5472, + "step": 14721 + }, + { + "epoch": 0.52, + "learning_rate": 9.533704903506464e-05, + "loss": 0.5914, + "step": 14722 + }, + { + "epoch": 0.52, + "learning_rate": 9.532605951506677e-05, + "loss": 0.4951, + "step": 14723 + }, + { + "epoch": 0.52, + "learning_rate": 9.531507005163915e-05, + "loss": 0.6035, + "step": 14724 + }, + { + "epoch": 0.52, + "learning_rate": 9.530408064491481e-05, + "loss": 0.5685, + "step": 14725 + }, + { + "epoch": 0.52, + "learning_rate": 9.529309129502675e-05, + "loss": 0.5158, + "step": 14726 + }, + { + "epoch": 0.52, + "learning_rate": 9.528210200210796e-05, + "loss": 0.5466, + "step": 14727 + }, + { + "epoch": 0.52, + "learning_rate": 9.527111276629148e-05, + "loss": 0.4919, + "step": 14728 + }, + { + "epoch": 0.52, + "learning_rate": 9.526012358771029e-05, + "loss": 0.5552, + "step": 14729 + }, + { + "epoch": 0.52, + "learning_rate": 9.524913446649741e-05, + "loss": 0.5403, + "step": 14730 + }, + { + "epoch": 0.52, + "learning_rate": 9.523814540278583e-05, + "loss": 0.6635, + "step": 14731 + }, + { + "epoch": 0.52, + "learning_rate": 9.522715639670856e-05, + "loss": 0.5422, + "step": 14732 + }, + { + "epoch": 0.52, + "learning_rate": 9.521616744839862e-05, + "loss": 0.5675, + "step": 14733 + }, + { + "epoch": 0.52, + "learning_rate": 9.5205178557989e-05, + "loss": 0.6113, + "step": 14734 + }, + { + "epoch": 0.52, + "learning_rate": 9.519418972561269e-05, + "loss": 0.6254, + "step": 14735 + }, + { + "epoch": 0.52, + "learning_rate": 9.518320095140273e-05, + "loss": 0.5855, + "step": 14736 + }, + { + "epoch": 0.52, + "learning_rate": 9.517221223549207e-05, + "loss": 0.5588, + "step": 14737 + }, + { + "epoch": 0.52, + "learning_rate": 9.516122357801375e-05, + "loss": 0.5245, + "step": 14738 + }, + { + "epoch": 0.52, + "learning_rate": 9.515023497910076e-05, + "loss": 0.5816, + "step": 14739 + }, + { + "epoch": 0.52, + "learning_rate": 9.513924643888606e-05, + "loss": 0.5804, + "step": 14740 + }, + { + "epoch": 0.52, + "learning_rate": 9.512825795750272e-05, + "loss": 0.455, + "step": 14741 + }, + { + "epoch": 0.52, + "learning_rate": 9.511726953508367e-05, + "loss": 0.4679, + "step": 14742 + }, + { + "epoch": 0.52, + "learning_rate": 9.510628117176196e-05, + "loss": 0.5585, + "step": 14743 + }, + { + "epoch": 0.52, + "learning_rate": 9.509529286767055e-05, + "loss": 0.5201, + "step": 14744 + }, + { + "epoch": 0.52, + "learning_rate": 9.508430462294243e-05, + "loss": 0.5529, + "step": 14745 + }, + { + "epoch": 0.52, + "learning_rate": 9.507331643771063e-05, + "loss": 0.6291, + "step": 14746 + }, + { + "epoch": 0.52, + "learning_rate": 9.506232831210812e-05, + "loss": 0.5333, + "step": 14747 + }, + { + "epoch": 0.52, + "learning_rate": 9.50513402462679e-05, + "loss": 0.5249, + "step": 14748 + }, + { + "epoch": 0.52, + "learning_rate": 9.504035224032295e-05, + "loss": 0.5658, + "step": 14749 + }, + { + "epoch": 0.52, + "learning_rate": 9.502936429440626e-05, + "loss": 0.5603, + "step": 14750 + }, + { + "epoch": 0.52, + "learning_rate": 9.501837640865086e-05, + "loss": 0.568, + "step": 14751 + }, + { + "epoch": 0.52, + "learning_rate": 9.500738858318971e-05, + "loss": 0.5268, + "step": 14752 + }, + { + "epoch": 0.52, + "learning_rate": 9.499640081815578e-05, + "loss": 0.4955, + "step": 14753 + }, + { + "epoch": 0.52, + "learning_rate": 9.498541311368208e-05, + "loss": 0.6618, + "step": 14754 + }, + { + "epoch": 0.52, + "learning_rate": 9.49744254699016e-05, + "loss": 0.5048, + "step": 14755 + }, + { + "epoch": 0.52, + "learning_rate": 9.496343788694734e-05, + "loss": 0.5019, + "step": 14756 + }, + { + "epoch": 0.52, + "learning_rate": 9.495245036495226e-05, + "loss": 0.6081, + "step": 14757 + }, + { + "epoch": 0.52, + "learning_rate": 9.494146290404935e-05, + "loss": 0.5331, + "step": 14758 + }, + { + "epoch": 0.52, + "learning_rate": 9.493047550437161e-05, + "loss": 0.4715, + "step": 14759 + }, + { + "epoch": 0.52, + "learning_rate": 9.491948816605203e-05, + "loss": 0.6192, + "step": 14760 + }, + { + "epoch": 0.52, + "learning_rate": 9.490850088922354e-05, + "loss": 0.5261, + "step": 14761 + }, + { + "epoch": 0.52, + "learning_rate": 9.489751367401918e-05, + "loss": 0.6606, + "step": 14762 + }, + { + "epoch": 0.52, + "learning_rate": 9.488652652057192e-05, + "loss": 0.5947, + "step": 14763 + }, + { + "epoch": 0.52, + "learning_rate": 9.487553942901474e-05, + "loss": 0.5914, + "step": 14764 + }, + { + "epoch": 0.52, + "learning_rate": 9.486455239948061e-05, + "loss": 0.6184, + "step": 14765 + }, + { + "epoch": 0.52, + "learning_rate": 9.48535654321025e-05, + "loss": 0.5854, + "step": 14766 + }, + { + "epoch": 0.52, + "learning_rate": 9.484257852701343e-05, + "loss": 0.5076, + "step": 14767 + }, + { + "epoch": 0.52, + "learning_rate": 9.483159168434631e-05, + "loss": 0.6114, + "step": 14768 + }, + { + "epoch": 0.52, + "learning_rate": 9.48206049042342e-05, + "loss": 0.5916, + "step": 14769 + }, + { + "epoch": 0.52, + "learning_rate": 9.480961818681004e-05, + "loss": 0.5643, + "step": 14770 + }, + { + "epoch": 0.52, + "learning_rate": 9.47986315322068e-05, + "loss": 0.617, + "step": 14771 + }, + { + "epoch": 0.52, + "learning_rate": 9.478764494055743e-05, + "loss": 0.4946, + "step": 14772 + }, + { + "epoch": 0.52, + "learning_rate": 9.477665841199494e-05, + "loss": 0.4918, + "step": 14773 + }, + { + "epoch": 0.52, + "learning_rate": 9.476567194665231e-05, + "loss": 0.5352, + "step": 14774 + }, + { + "epoch": 0.52, + "learning_rate": 9.475468554466248e-05, + "loss": 0.5421, + "step": 14775 + }, + { + "epoch": 0.52, + "learning_rate": 9.474369920615844e-05, + "loss": 0.5408, + "step": 14776 + }, + { + "epoch": 0.52, + "learning_rate": 9.473271293127315e-05, + "loss": 0.4664, + "step": 14777 + }, + { + "epoch": 0.52, + "learning_rate": 9.472172672013962e-05, + "loss": 0.4369, + "step": 14778 + }, + { + "epoch": 0.52, + "learning_rate": 9.47107405728908e-05, + "loss": 0.5478, + "step": 14779 + }, + { + "epoch": 0.52, + "learning_rate": 9.469975448965961e-05, + "loss": 0.566, + "step": 14780 + }, + { + "epoch": 0.52, + "learning_rate": 9.468876847057908e-05, + "loss": 0.5055, + "step": 14781 + }, + { + "epoch": 0.52, + "learning_rate": 9.467778251578217e-05, + "loss": 0.5207, + "step": 14782 + }, + { + "epoch": 0.52, + "learning_rate": 9.46667966254018e-05, + "loss": 0.5688, + "step": 14783 + }, + { + "epoch": 0.52, + "learning_rate": 9.4655810799571e-05, + "loss": 0.5705, + "step": 14784 + }, + { + "epoch": 0.52, + "learning_rate": 9.464482503842268e-05, + "loss": 0.6182, + "step": 14785 + }, + { + "epoch": 0.52, + "learning_rate": 9.463383934208985e-05, + "loss": 0.449, + "step": 14786 + }, + { + "epoch": 0.52, + "learning_rate": 9.462285371070544e-05, + "loss": 0.5661, + "step": 14787 + }, + { + "epoch": 0.52, + "learning_rate": 9.461186814440241e-05, + "loss": 0.4688, + "step": 14788 + }, + { + "epoch": 0.52, + "learning_rate": 9.460088264331377e-05, + "loss": 0.5282, + "step": 14789 + }, + { + "epoch": 0.52, + "learning_rate": 9.458989720757241e-05, + "loss": 0.5802, + "step": 14790 + }, + { + "epoch": 0.52, + "learning_rate": 9.457891183731136e-05, + "loss": 0.532, + "step": 14791 + }, + { + "epoch": 0.52, + "learning_rate": 9.456792653266353e-05, + "loss": 0.5224, + "step": 14792 + }, + { + "epoch": 0.52, + "learning_rate": 9.45569412937619e-05, + "loss": 0.5238, + "step": 14793 + }, + { + "epoch": 0.52, + "learning_rate": 9.454595612073944e-05, + "loss": 0.4837, + "step": 14794 + }, + { + "epoch": 0.52, + "learning_rate": 9.453497101372906e-05, + "loss": 0.633, + "step": 14795 + }, + { + "epoch": 0.52, + "learning_rate": 9.452398597286375e-05, + "loss": 0.6117, + "step": 14796 + }, + { + "epoch": 0.52, + "learning_rate": 9.45130009982765e-05, + "loss": 0.5728, + "step": 14797 + }, + { + "epoch": 0.52, + "learning_rate": 9.45020160901002e-05, + "loss": 0.5293, + "step": 14798 + }, + { + "epoch": 0.52, + "learning_rate": 9.449103124846784e-05, + "loss": 0.5863, + "step": 14799 + }, + { + "epoch": 0.52, + "learning_rate": 9.448004647351238e-05, + "loss": 0.4776, + "step": 14800 + }, + { + "epoch": 0.52, + "eval_loss": 0.5387113690376282, + "eval_runtime": 845.9644, + "eval_samples_per_second": 28.441, + "eval_steps_per_second": 14.22, + "step": 14800 + }, + { + "epoch": 0.52, + "learning_rate": 9.446906176536673e-05, + "loss": 0.5673, + "step": 14801 + }, + { + "epoch": 0.52, + "learning_rate": 9.445807712416389e-05, + "loss": 0.5682, + "step": 14802 + }, + { + "epoch": 0.52, + "learning_rate": 9.444709255003678e-05, + "loss": 0.5942, + "step": 14803 + }, + { + "epoch": 0.52, + "learning_rate": 9.443610804311837e-05, + "loss": 0.4998, + "step": 14804 + }, + { + "epoch": 0.52, + "learning_rate": 9.44251236035416e-05, + "loss": 0.5507, + "step": 14805 + }, + { + "epoch": 0.52, + "learning_rate": 9.44141392314394e-05, + "loss": 0.5807, + "step": 14806 + }, + { + "epoch": 0.52, + "learning_rate": 9.440315492694476e-05, + "loss": 0.4851, + "step": 14807 + }, + { + "epoch": 0.52, + "learning_rate": 9.439217069019058e-05, + "loss": 0.5742, + "step": 14808 + }, + { + "epoch": 0.52, + "learning_rate": 9.438118652130983e-05, + "loss": 0.6057, + "step": 14809 + }, + { + "epoch": 0.52, + "learning_rate": 9.437020242043548e-05, + "loss": 0.4802, + "step": 14810 + }, + { + "epoch": 0.52, + "learning_rate": 9.435921838770042e-05, + "loss": 0.5743, + "step": 14811 + }, + { + "epoch": 0.52, + "learning_rate": 9.434823442323763e-05, + "loss": 0.5924, + "step": 14812 + }, + { + "epoch": 0.52, + "learning_rate": 9.433725052718006e-05, + "loss": 0.5583, + "step": 14813 + }, + { + "epoch": 0.52, + "learning_rate": 9.43262666996606e-05, + "loss": 0.4949, + "step": 14814 + }, + { + "epoch": 0.52, + "learning_rate": 9.431528294081225e-05, + "loss": 0.5622, + "step": 14815 + }, + { + "epoch": 0.52, + "learning_rate": 9.430429925076791e-05, + "loss": 0.6268, + "step": 14816 + }, + { + "epoch": 0.52, + "learning_rate": 9.429331562966056e-05, + "loss": 0.5794, + "step": 14817 + }, + { + "epoch": 0.52, + "learning_rate": 9.42823320776231e-05, + "loss": 0.5484, + "step": 14818 + }, + { + "epoch": 0.52, + "learning_rate": 9.427134859478847e-05, + "loss": 0.6035, + "step": 14819 + }, + { + "epoch": 0.52, + "learning_rate": 9.426036518128965e-05, + "loss": 0.5213, + "step": 14820 + }, + { + "epoch": 0.52, + "learning_rate": 9.42493818372595e-05, + "loss": 0.5212, + "step": 14821 + }, + { + "epoch": 0.52, + "learning_rate": 9.423839856283103e-05, + "loss": 0.6209, + "step": 14822 + }, + { + "epoch": 0.52, + "learning_rate": 9.422741535813714e-05, + "loss": 0.553, + "step": 14823 + }, + { + "epoch": 0.52, + "learning_rate": 9.421643222331075e-05, + "loss": 0.5141, + "step": 14824 + }, + { + "epoch": 0.52, + "learning_rate": 9.420544915848484e-05, + "loss": 0.5916, + "step": 14825 + }, + { + "epoch": 0.52, + "learning_rate": 9.419446616379227e-05, + "loss": 0.5199, + "step": 14826 + }, + { + "epoch": 0.52, + "learning_rate": 9.418348323936605e-05, + "loss": 0.4656, + "step": 14827 + }, + { + "epoch": 0.52, + "learning_rate": 9.417250038533907e-05, + "loss": 0.5477, + "step": 14828 + }, + { + "epoch": 0.52, + "learning_rate": 9.416151760184423e-05, + "loss": 0.5645, + "step": 14829 + }, + { + "epoch": 0.52, + "learning_rate": 9.415053488901451e-05, + "loss": 0.557, + "step": 14830 + }, + { + "epoch": 0.52, + "learning_rate": 9.413955224698282e-05, + "loss": 0.4968, + "step": 14831 + }, + { + "epoch": 0.52, + "learning_rate": 9.412856967588207e-05, + "loss": 0.6871, + "step": 14832 + }, + { + "epoch": 0.52, + "learning_rate": 9.411758717584521e-05, + "loss": 0.5964, + "step": 14833 + }, + { + "epoch": 0.52, + "learning_rate": 9.410660474700514e-05, + "loss": 0.5194, + "step": 14834 + }, + { + "epoch": 0.52, + "learning_rate": 9.409562238949481e-05, + "loss": 0.511, + "step": 14835 + }, + { + "epoch": 0.52, + "learning_rate": 9.408464010344714e-05, + "loss": 0.5469, + "step": 14836 + }, + { + "epoch": 0.52, + "learning_rate": 9.407365788899502e-05, + "loss": 0.5228, + "step": 14837 + }, + { + "epoch": 0.52, + "learning_rate": 9.406267574627142e-05, + "loss": 0.5188, + "step": 14838 + }, + { + "epoch": 0.52, + "learning_rate": 9.40516936754092e-05, + "loss": 0.5865, + "step": 14839 + }, + { + "epoch": 0.52, + "learning_rate": 9.404071167654135e-05, + "loss": 0.5655, + "step": 14840 + }, + { + "epoch": 0.52, + "learning_rate": 9.402972974980075e-05, + "loss": 0.534, + "step": 14841 + }, + { + "epoch": 0.52, + "learning_rate": 9.401874789532031e-05, + "loss": 0.5876, + "step": 14842 + }, + { + "epoch": 0.52, + "learning_rate": 9.400776611323296e-05, + "loss": 0.5355, + "step": 14843 + }, + { + "epoch": 0.52, + "learning_rate": 9.39967844036716e-05, + "loss": 0.4795, + "step": 14844 + }, + { + "epoch": 0.52, + "learning_rate": 9.398580276676919e-05, + "loss": 0.5948, + "step": 14845 + }, + { + "epoch": 0.52, + "learning_rate": 9.39748212026586e-05, + "loss": 0.5119, + "step": 14846 + }, + { + "epoch": 0.52, + "learning_rate": 9.396383971147275e-05, + "loss": 0.5376, + "step": 14847 + }, + { + "epoch": 0.52, + "learning_rate": 9.395285829334458e-05, + "loss": 0.5596, + "step": 14848 + }, + { + "epoch": 0.52, + "learning_rate": 9.394187694840699e-05, + "loss": 0.4959, + "step": 14849 + }, + { + "epoch": 0.52, + "learning_rate": 9.393089567679284e-05, + "loss": 0.565, + "step": 14850 + }, + { + "epoch": 0.52, + "learning_rate": 9.391991447863512e-05, + "loss": 0.5564, + "step": 14851 + }, + { + "epoch": 0.52, + "learning_rate": 9.390893335406668e-05, + "loss": 0.4558, + "step": 14852 + }, + { + "epoch": 0.52, + "learning_rate": 9.389795230322046e-05, + "loss": 0.4924, + "step": 14853 + }, + { + "epoch": 0.52, + "learning_rate": 9.388697132622938e-05, + "loss": 0.5953, + "step": 14854 + }, + { + "epoch": 0.52, + "learning_rate": 9.38759904232263e-05, + "loss": 0.5815, + "step": 14855 + }, + { + "epoch": 0.52, + "learning_rate": 9.386500959434414e-05, + "loss": 0.597, + "step": 14856 + }, + { + "epoch": 0.52, + "learning_rate": 9.385402883971583e-05, + "loss": 0.5817, + "step": 14857 + }, + { + "epoch": 0.52, + "learning_rate": 9.384304815947425e-05, + "loss": 0.6491, + "step": 14858 + }, + { + "epoch": 0.52, + "learning_rate": 9.383206755375234e-05, + "loss": 0.6314, + "step": 14859 + }, + { + "epoch": 0.52, + "learning_rate": 9.382108702268295e-05, + "loss": 0.5168, + "step": 14860 + }, + { + "epoch": 0.52, + "learning_rate": 9.3810106566399e-05, + "loss": 0.5136, + "step": 14861 + }, + { + "epoch": 0.52, + "learning_rate": 9.37991261850334e-05, + "loss": 0.5989, + "step": 14862 + }, + { + "epoch": 0.52, + "learning_rate": 9.378814587871903e-05, + "loss": 0.568, + "step": 14863 + }, + { + "epoch": 0.52, + "learning_rate": 9.377716564758883e-05, + "loss": 0.6256, + "step": 14864 + }, + { + "epoch": 0.52, + "learning_rate": 9.376618549177564e-05, + "loss": 0.6037, + "step": 14865 + }, + { + "epoch": 0.52, + "learning_rate": 9.375520541141241e-05, + "loss": 0.5785, + "step": 14866 + }, + { + "epoch": 0.52, + "learning_rate": 9.374422540663201e-05, + "loss": 0.5879, + "step": 14867 + }, + { + "epoch": 0.52, + "learning_rate": 9.373324547756732e-05, + "loss": 0.6056, + "step": 14868 + }, + { + "epoch": 0.52, + "learning_rate": 9.372226562435126e-05, + "loss": 0.5862, + "step": 14869 + }, + { + "epoch": 0.52, + "learning_rate": 9.371128584711669e-05, + "loss": 0.5142, + "step": 14870 + }, + { + "epoch": 0.52, + "learning_rate": 9.370030614599655e-05, + "loss": 0.5313, + "step": 14871 + }, + { + "epoch": 0.52, + "learning_rate": 9.368932652112371e-05, + "loss": 0.5867, + "step": 14872 + }, + { + "epoch": 0.52, + "learning_rate": 9.367834697263104e-05, + "loss": 0.5501, + "step": 14873 + }, + { + "epoch": 0.52, + "learning_rate": 9.366736750065145e-05, + "loss": 0.6393, + "step": 14874 + }, + { + "epoch": 0.52, + "learning_rate": 9.365638810531781e-05, + "loss": 0.5236, + "step": 14875 + }, + { + "epoch": 0.52, + "learning_rate": 9.364540878676304e-05, + "loss": 0.5314, + "step": 14876 + }, + { + "epoch": 0.52, + "learning_rate": 9.363442954512e-05, + "loss": 0.599, + "step": 14877 + }, + { + "epoch": 0.52, + "learning_rate": 9.362345038052157e-05, + "loss": 0.5105, + "step": 14878 + }, + { + "epoch": 0.52, + "learning_rate": 9.361247129310067e-05, + "loss": 0.503, + "step": 14879 + }, + { + "epoch": 0.52, + "learning_rate": 9.360149228299016e-05, + "loss": 0.5039, + "step": 14880 + }, + { + "epoch": 0.52, + "learning_rate": 9.359051335032288e-05, + "loss": 0.5593, + "step": 14881 + }, + { + "epoch": 0.52, + "learning_rate": 9.35795344952318e-05, + "loss": 0.4728, + "step": 14882 + }, + { + "epoch": 0.52, + "learning_rate": 9.356855571784973e-05, + "loss": 0.5713, + "step": 14883 + }, + { + "epoch": 0.52, + "learning_rate": 9.355757701830958e-05, + "loss": 0.5607, + "step": 14884 + }, + { + "epoch": 0.52, + "learning_rate": 9.354659839674424e-05, + "loss": 0.5601, + "step": 14885 + }, + { + "epoch": 0.52, + "learning_rate": 9.353561985328654e-05, + "loss": 0.587, + "step": 14886 + }, + { + "epoch": 0.52, + "learning_rate": 9.352464138806941e-05, + "loss": 0.4835, + "step": 14887 + }, + { + "epoch": 0.52, + "learning_rate": 9.35136630012257e-05, + "loss": 0.6166, + "step": 14888 + }, + { + "epoch": 0.52, + "learning_rate": 9.350268469288828e-05, + "loss": 0.4504, + "step": 14889 + }, + { + "epoch": 0.52, + "learning_rate": 9.349170646319006e-05, + "loss": 0.561, + "step": 14890 + }, + { + "epoch": 0.52, + "learning_rate": 9.348072831226386e-05, + "loss": 0.5969, + "step": 14891 + }, + { + "epoch": 0.52, + "learning_rate": 9.34697502402426e-05, + "loss": 0.4814, + "step": 14892 + }, + { + "epoch": 0.52, + "learning_rate": 9.34587722472591e-05, + "loss": 0.5609, + "step": 14893 + }, + { + "epoch": 0.52, + "learning_rate": 9.34477943334463e-05, + "loss": 0.5429, + "step": 14894 + }, + { + "epoch": 0.52, + "learning_rate": 9.3436816498937e-05, + "loss": 0.464, + "step": 14895 + }, + { + "epoch": 0.52, + "learning_rate": 9.34258387438641e-05, + "loss": 0.6691, + "step": 14896 + }, + { + "epoch": 0.52, + "learning_rate": 9.341486106836049e-05, + "loss": 0.5513, + "step": 14897 + }, + { + "epoch": 0.52, + "learning_rate": 9.340388347255901e-05, + "loss": 0.5354, + "step": 14898 + }, + { + "epoch": 0.52, + "learning_rate": 9.339290595659249e-05, + "loss": 0.6106, + "step": 14899 + }, + { + "epoch": 0.52, + "learning_rate": 9.338192852059387e-05, + "loss": 0.5743, + "step": 14900 + }, + { + "epoch": 0.52, + "learning_rate": 9.337095116469595e-05, + "loss": 0.5058, + "step": 14901 + }, + { + "epoch": 0.52, + "learning_rate": 9.335997388903163e-05, + "loss": 0.4986, + "step": 14902 + }, + { + "epoch": 0.52, + "learning_rate": 9.334899669373379e-05, + "loss": 0.4968, + "step": 14903 + }, + { + "epoch": 0.52, + "learning_rate": 9.333801957893521e-05, + "loss": 0.552, + "step": 14904 + }, + { + "epoch": 0.52, + "learning_rate": 9.332704254476885e-05, + "loss": 0.5736, + "step": 14905 + }, + { + "epoch": 0.52, + "learning_rate": 9.33160655913675e-05, + "loss": 0.5518, + "step": 14906 + }, + { + "epoch": 0.52, + "learning_rate": 9.330508871886404e-05, + "loss": 0.5249, + "step": 14907 + }, + { + "epoch": 0.52, + "learning_rate": 9.32941119273913e-05, + "loss": 0.4895, + "step": 14908 + }, + { + "epoch": 0.52, + "learning_rate": 9.328313521708218e-05, + "loss": 0.5644, + "step": 14909 + }, + { + "epoch": 0.52, + "learning_rate": 9.327215858806949e-05, + "loss": 0.5073, + "step": 14910 + }, + { + "epoch": 0.52, + "learning_rate": 9.326118204048613e-05, + "loss": 0.5915, + "step": 14911 + }, + { + "epoch": 0.52, + "learning_rate": 9.325020557446494e-05, + "loss": 0.5172, + "step": 14912 + }, + { + "epoch": 0.52, + "learning_rate": 9.323922919013873e-05, + "loss": 0.5689, + "step": 14913 + }, + { + "epoch": 0.52, + "learning_rate": 9.322825288764042e-05, + "loss": 0.6348, + "step": 14914 + }, + { + "epoch": 0.52, + "learning_rate": 9.32172766671028e-05, + "loss": 0.5336, + "step": 14915 + }, + { + "epoch": 0.52, + "learning_rate": 9.320630052865874e-05, + "loss": 0.5673, + "step": 14916 + }, + { + "epoch": 0.52, + "learning_rate": 9.319532447244111e-05, + "loss": 0.6234, + "step": 14917 + }, + { + "epoch": 0.52, + "learning_rate": 9.31843484985827e-05, + "loss": 0.5464, + "step": 14918 + }, + { + "epoch": 0.52, + "learning_rate": 9.317337260721644e-05, + "loss": 0.5863, + "step": 14919 + }, + { + "epoch": 0.52, + "learning_rate": 9.31623967984751e-05, + "loss": 0.4416, + "step": 14920 + }, + { + "epoch": 0.52, + "learning_rate": 9.315142107249155e-05, + "loss": 0.5948, + "step": 14921 + }, + { + "epoch": 0.52, + "learning_rate": 9.314044542939865e-05, + "loss": 0.5268, + "step": 14922 + }, + { + "epoch": 0.52, + "learning_rate": 9.31294698693292e-05, + "loss": 0.4965, + "step": 14923 + }, + { + "epoch": 0.52, + "learning_rate": 9.311849439241608e-05, + "loss": 0.5045, + "step": 14924 + }, + { + "epoch": 0.52, + "learning_rate": 9.310751899879215e-05, + "loss": 0.5047, + "step": 14925 + }, + { + "epoch": 0.52, + "learning_rate": 9.309654368859017e-05, + "loss": 0.4851, + "step": 14926 + }, + { + "epoch": 0.52, + "learning_rate": 9.308556846194304e-05, + "loss": 0.4871, + "step": 14927 + }, + { + "epoch": 0.52, + "learning_rate": 9.307459331898357e-05, + "loss": 0.5825, + "step": 14928 + }, + { + "epoch": 0.52, + "learning_rate": 9.306361825984462e-05, + "loss": 0.5959, + "step": 14929 + }, + { + "epoch": 0.52, + "learning_rate": 9.305264328465902e-05, + "loss": 0.4755, + "step": 14930 + }, + { + "epoch": 0.52, + "learning_rate": 9.304166839355957e-05, + "loss": 0.4232, + "step": 14931 + }, + { + "epoch": 0.52, + "learning_rate": 9.303069358667915e-05, + "loss": 0.508, + "step": 14932 + }, + { + "epoch": 0.52, + "learning_rate": 9.301971886415058e-05, + "loss": 0.5102, + "step": 14933 + }, + { + "epoch": 0.52, + "learning_rate": 9.300874422610663e-05, + "loss": 0.5086, + "step": 14934 + }, + { + "epoch": 0.52, + "learning_rate": 9.299776967268022e-05, + "loss": 0.4772, + "step": 14935 + }, + { + "epoch": 0.52, + "learning_rate": 9.298679520400412e-05, + "loss": 0.5699, + "step": 14936 + }, + { + "epoch": 0.52, + "learning_rate": 9.29758208202112e-05, + "loss": 0.5477, + "step": 14937 + }, + { + "epoch": 0.52, + "learning_rate": 9.296484652143425e-05, + "loss": 0.5198, + "step": 14938 + }, + { + "epoch": 0.52, + "learning_rate": 9.29538723078061e-05, + "loss": 0.5316, + "step": 14939 + }, + { + "epoch": 0.52, + "learning_rate": 9.294289817945959e-05, + "loss": 0.5078, + "step": 14940 + }, + { + "epoch": 0.52, + "learning_rate": 9.293192413652752e-05, + "loss": 0.5013, + "step": 14941 + }, + { + "epoch": 0.52, + "learning_rate": 9.292095017914275e-05, + "loss": 0.5244, + "step": 14942 + }, + { + "epoch": 0.52, + "learning_rate": 9.29099763074381e-05, + "loss": 0.541, + "step": 14943 + }, + { + "epoch": 0.52, + "learning_rate": 9.289900252154633e-05, + "loss": 0.5629, + "step": 14944 + }, + { + "epoch": 0.52, + "learning_rate": 9.288802882160032e-05, + "loss": 0.5699, + "step": 14945 + }, + { + "epoch": 0.52, + "learning_rate": 9.287705520773286e-05, + "loss": 0.5098, + "step": 14946 + }, + { + "epoch": 0.52, + "learning_rate": 9.286608168007678e-05, + "loss": 0.5771, + "step": 14947 + }, + { + "epoch": 0.52, + "learning_rate": 9.285510823876489e-05, + "loss": 0.5486, + "step": 14948 + }, + { + "epoch": 0.52, + "learning_rate": 9.284413488393001e-05, + "loss": 0.5412, + "step": 14949 + }, + { + "epoch": 0.52, + "learning_rate": 9.283316161570496e-05, + "loss": 0.5716, + "step": 14950 + }, + { + "epoch": 0.52, + "learning_rate": 9.282218843422254e-05, + "loss": 0.5815, + "step": 14951 + }, + { + "epoch": 0.52, + "learning_rate": 9.281121533961555e-05, + "loss": 0.6216, + "step": 14952 + }, + { + "epoch": 0.52, + "learning_rate": 9.280024233201685e-05, + "loss": 0.5433, + "step": 14953 + }, + { + "epoch": 0.52, + "learning_rate": 9.278926941155919e-05, + "loss": 0.4924, + "step": 14954 + }, + { + "epoch": 0.52, + "learning_rate": 9.277829657837542e-05, + "loss": 0.4515, + "step": 14955 + }, + { + "epoch": 0.52, + "learning_rate": 9.276732383259834e-05, + "loss": 0.6019, + "step": 14956 + }, + { + "epoch": 0.52, + "learning_rate": 9.275635117436073e-05, + "loss": 0.5929, + "step": 14957 + }, + { + "epoch": 0.52, + "learning_rate": 9.274537860379544e-05, + "loss": 0.5001, + "step": 14958 + }, + { + "epoch": 0.52, + "learning_rate": 9.273440612103522e-05, + "loss": 0.5733, + "step": 14959 + }, + { + "epoch": 0.52, + "learning_rate": 9.272343372621294e-05, + "loss": 0.6214, + "step": 14960 + }, + { + "epoch": 0.52, + "learning_rate": 9.271246141946136e-05, + "loss": 0.5587, + "step": 14961 + }, + { + "epoch": 0.52, + "learning_rate": 9.270148920091328e-05, + "loss": 0.4817, + "step": 14962 + }, + { + "epoch": 0.52, + "learning_rate": 9.26905170707015e-05, + "loss": 0.6379, + "step": 14963 + }, + { + "epoch": 0.52, + "learning_rate": 9.267954502895887e-05, + "loss": 0.5049, + "step": 14964 + }, + { + "epoch": 0.52, + "learning_rate": 9.266857307581811e-05, + "loss": 0.5497, + "step": 14965 + }, + { + "epoch": 0.52, + "learning_rate": 9.265760121141207e-05, + "loss": 0.4948, + "step": 14966 + }, + { + "epoch": 0.52, + "learning_rate": 9.26466294358735e-05, + "loss": 0.5516, + "step": 14967 + }, + { + "epoch": 0.52, + "learning_rate": 9.263565774933527e-05, + "loss": 0.5744, + "step": 14968 + }, + { + "epoch": 0.52, + "learning_rate": 9.262468615193011e-05, + "loss": 0.5826, + "step": 14969 + }, + { + "epoch": 0.52, + "learning_rate": 9.261371464379084e-05, + "loss": 0.5682, + "step": 14970 + }, + { + "epoch": 0.52, + "learning_rate": 9.260274322505025e-05, + "loss": 0.5453, + "step": 14971 + }, + { + "epoch": 0.52, + "learning_rate": 9.259177189584109e-05, + "loss": 0.5035, + "step": 14972 + }, + { + "epoch": 0.52, + "learning_rate": 9.258080065629622e-05, + "loss": 0.6077, + "step": 14973 + }, + { + "epoch": 0.52, + "learning_rate": 9.25698295065484e-05, + "loss": 0.5253, + "step": 14974 + }, + { + "epoch": 0.52, + "learning_rate": 9.255885844673038e-05, + "loss": 0.4762, + "step": 14975 + }, + { + "epoch": 0.52, + "learning_rate": 9.2547887476975e-05, + "loss": 0.5459, + "step": 14976 + }, + { + "epoch": 0.52, + "learning_rate": 9.2536916597415e-05, + "loss": 0.4398, + "step": 14977 + }, + { + "epoch": 0.52, + "learning_rate": 9.252594580818321e-05, + "loss": 0.5489, + "step": 14978 + }, + { + "epoch": 0.52, + "learning_rate": 9.25149751094124e-05, + "loss": 0.6036, + "step": 14979 + }, + { + "epoch": 0.52, + "learning_rate": 9.25040045012353e-05, + "loss": 0.4838, + "step": 14980 + }, + { + "epoch": 0.52, + "learning_rate": 9.249303398378478e-05, + "loss": 0.6257, + "step": 14981 + }, + { + "epoch": 0.52, + "learning_rate": 9.248206355719354e-05, + "loss": 0.5808, + "step": 14982 + }, + { + "epoch": 0.52, + "learning_rate": 9.24710932215944e-05, + "loss": 0.6933, + "step": 14983 + }, + { + "epoch": 0.52, + "learning_rate": 9.246012297712014e-05, + "loss": 0.6314, + "step": 14984 + }, + { + "epoch": 0.52, + "learning_rate": 9.24491528239035e-05, + "loss": 0.5587, + "step": 14985 + }, + { + "epoch": 0.52, + "learning_rate": 9.243818276207731e-05, + "loss": 0.4876, + "step": 14986 + }, + { + "epoch": 0.52, + "learning_rate": 9.242721279177431e-05, + "loss": 0.5906, + "step": 14987 + }, + { + "epoch": 0.52, + "learning_rate": 9.241624291312725e-05, + "loss": 0.4846, + "step": 14988 + }, + { + "epoch": 0.52, + "learning_rate": 9.240527312626896e-05, + "loss": 0.535, + "step": 14989 + }, + { + "epoch": 0.52, + "learning_rate": 9.239430343133217e-05, + "loss": 0.6475, + "step": 14990 + }, + { + "epoch": 0.52, + "learning_rate": 9.238333382844966e-05, + "loss": 0.5341, + "step": 14991 + }, + { + "epoch": 0.52, + "learning_rate": 9.237236431775422e-05, + "loss": 0.5441, + "step": 14992 + }, + { + "epoch": 0.52, + "learning_rate": 9.236139489937858e-05, + "loss": 0.6182, + "step": 14993 + }, + { + "epoch": 0.52, + "learning_rate": 9.235042557345554e-05, + "loss": 0.5686, + "step": 14994 + }, + { + "epoch": 0.52, + "learning_rate": 9.233945634011782e-05, + "loss": 0.5642, + "step": 14995 + }, + { + "epoch": 0.52, + "learning_rate": 9.232848719949825e-05, + "loss": 0.6239, + "step": 14996 + }, + { + "epoch": 0.52, + "learning_rate": 9.231751815172955e-05, + "loss": 0.4819, + "step": 14997 + }, + { + "epoch": 0.52, + "learning_rate": 9.230654919694447e-05, + "loss": 0.4872, + "step": 14998 + }, + { + "epoch": 0.52, + "learning_rate": 9.229558033527582e-05, + "loss": 0.5897, + "step": 14999 + }, + { + "epoch": 0.52, + "learning_rate": 9.22846115668563e-05, + "loss": 0.493, + "step": 15000 + }, + { + "epoch": 0.52, + "eval_loss": 0.5356741547584534, + "eval_runtime": 850.642, + "eval_samples_per_second": 28.285, + "eval_steps_per_second": 14.142, + "step": 15000 + }, + { + "epoch": 0.52, + "learning_rate": 9.22736428918187e-05, + "loss": 0.5269, + "step": 15001 + }, + { + "epoch": 0.52, + "learning_rate": 9.22626743102958e-05, + "loss": 0.5947, + "step": 15002 + }, + { + "epoch": 0.53, + "learning_rate": 9.225170582242031e-05, + "loss": 0.5791, + "step": 15003 + }, + { + "epoch": 0.53, + "learning_rate": 9.224073742832501e-05, + "loss": 0.5249, + "step": 15004 + }, + { + "epoch": 0.53, + "learning_rate": 9.222976912814269e-05, + "loss": 0.5648, + "step": 15005 + }, + { + "epoch": 0.53, + "learning_rate": 9.221880092200601e-05, + "loss": 0.4947, + "step": 15006 + }, + { + "epoch": 0.53, + "learning_rate": 9.22078328100478e-05, + "loss": 0.5495, + "step": 15007 + }, + { + "epoch": 0.53, + "learning_rate": 9.21968647924008e-05, + "loss": 0.5756, + "step": 15008 + }, + { + "epoch": 0.53, + "learning_rate": 9.218589686919774e-05, + "loss": 0.7151, + "step": 15009 + }, + { + "epoch": 0.53, + "learning_rate": 9.217492904057138e-05, + "loss": 0.5932, + "step": 15010 + }, + { + "epoch": 0.53, + "learning_rate": 9.216396130665444e-05, + "loss": 0.5353, + "step": 15011 + }, + { + "epoch": 0.53, + "learning_rate": 9.215299366757972e-05, + "loss": 0.4727, + "step": 15012 + }, + { + "epoch": 0.53, + "learning_rate": 9.214202612347993e-05, + "loss": 0.49, + "step": 15013 + }, + { + "epoch": 0.53, + "learning_rate": 9.21310586744878e-05, + "loss": 0.4916, + "step": 15014 + }, + { + "epoch": 0.53, + "learning_rate": 9.212009132073611e-05, + "loss": 0.5161, + "step": 15015 + }, + { + "epoch": 0.53, + "learning_rate": 9.210912406235755e-05, + "loss": 0.5392, + "step": 15016 + }, + { + "epoch": 0.53, + "learning_rate": 9.209815689948493e-05, + "loss": 0.6153, + "step": 15017 + }, + { + "epoch": 0.53, + "learning_rate": 9.208718983225093e-05, + "loss": 0.5255, + "step": 15018 + }, + { + "epoch": 0.53, + "learning_rate": 9.207622286078831e-05, + "loss": 0.4367, + "step": 15019 + }, + { + "epoch": 0.53, + "learning_rate": 9.206525598522982e-05, + "loss": 0.5612, + "step": 15020 + }, + { + "epoch": 0.53, + "learning_rate": 9.205428920570815e-05, + "loss": 0.4845, + "step": 15021 + }, + { + "epoch": 0.53, + "learning_rate": 9.204332252235611e-05, + "loss": 0.5244, + "step": 15022 + }, + { + "epoch": 0.53, + "learning_rate": 9.203235593530638e-05, + "loss": 0.4922, + "step": 15023 + }, + { + "epoch": 0.53, + "learning_rate": 9.202138944469168e-05, + "loss": 0.6106, + "step": 15024 + }, + { + "epoch": 0.53, + "learning_rate": 9.201042305064479e-05, + "loss": 0.4988, + "step": 15025 + }, + { + "epoch": 0.53, + "learning_rate": 9.19994567532984e-05, + "loss": 0.5555, + "step": 15026 + }, + { + "epoch": 0.53, + "learning_rate": 9.198849055278526e-05, + "loss": 0.4863, + "step": 15027 + }, + { + "epoch": 0.53, + "learning_rate": 9.19775244492381e-05, + "loss": 0.5107, + "step": 15028 + }, + { + "epoch": 0.53, + "learning_rate": 9.19665584427896e-05, + "loss": 0.6217, + "step": 15029 + }, + { + "epoch": 0.53, + "learning_rate": 9.195559253357255e-05, + "loss": 0.5167, + "step": 15030 + }, + { + "epoch": 0.53, + "learning_rate": 9.194462672171966e-05, + "loss": 0.4893, + "step": 15031 + }, + { + "epoch": 0.53, + "learning_rate": 9.19336610073636e-05, + "loss": 0.4784, + "step": 15032 + }, + { + "epoch": 0.53, + "learning_rate": 9.192269539063717e-05, + "loss": 0.5897, + "step": 15033 + }, + { + "epoch": 0.53, + "learning_rate": 9.191172987167301e-05, + "loss": 0.6248, + "step": 15034 + }, + { + "epoch": 0.53, + "learning_rate": 9.190076445060392e-05, + "loss": 0.5319, + "step": 15035 + }, + { + "epoch": 0.53, + "learning_rate": 9.188979912756257e-05, + "loss": 0.5297, + "step": 15036 + }, + { + "epoch": 0.53, + "learning_rate": 9.187883390268167e-05, + "loss": 0.484, + "step": 15037 + }, + { + "epoch": 0.53, + "learning_rate": 9.186786877609396e-05, + "loss": 0.5305, + "step": 15038 + }, + { + "epoch": 0.53, + "learning_rate": 9.185690374793217e-05, + "loss": 0.5345, + "step": 15039 + }, + { + "epoch": 0.53, + "learning_rate": 9.184593881832897e-05, + "loss": 0.5164, + "step": 15040 + }, + { + "epoch": 0.53, + "learning_rate": 9.183497398741707e-05, + "loss": 0.5719, + "step": 15041 + }, + { + "epoch": 0.53, + "learning_rate": 9.182400925532923e-05, + "loss": 0.6437, + "step": 15042 + }, + { + "epoch": 0.53, + "learning_rate": 9.18130446221981e-05, + "loss": 0.6053, + "step": 15043 + }, + { + "epoch": 0.53, + "learning_rate": 9.180208008815646e-05, + "loss": 0.5225, + "step": 15044 + }, + { + "epoch": 0.53, + "learning_rate": 9.179111565333695e-05, + "loss": 0.4486, + "step": 15045 + }, + { + "epoch": 0.53, + "learning_rate": 9.178015131787231e-05, + "loss": 0.552, + "step": 15046 + }, + { + "epoch": 0.53, + "learning_rate": 9.176918708189524e-05, + "loss": 0.5265, + "step": 15047 + }, + { + "epoch": 0.53, + "learning_rate": 9.175822294553844e-05, + "loss": 0.5446, + "step": 15048 + }, + { + "epoch": 0.53, + "learning_rate": 9.174725890893463e-05, + "loss": 0.5513, + "step": 15049 + }, + { + "epoch": 0.53, + "learning_rate": 9.17362949722165e-05, + "loss": 0.5292, + "step": 15050 + }, + { + "epoch": 0.53, + "learning_rate": 9.172533113551672e-05, + "loss": 0.506, + "step": 15051 + }, + { + "epoch": 0.53, + "learning_rate": 9.171436739896804e-05, + "loss": 0.4647, + "step": 15052 + }, + { + "epoch": 0.53, + "learning_rate": 9.170340376270315e-05, + "loss": 0.5835, + "step": 15053 + }, + { + "epoch": 0.53, + "learning_rate": 9.169244022685469e-05, + "loss": 0.5028, + "step": 15054 + }, + { + "epoch": 0.53, + "learning_rate": 9.168147679155542e-05, + "loss": 0.5486, + "step": 15055 + }, + { + "epoch": 0.53, + "learning_rate": 9.167051345693799e-05, + "loss": 0.487, + "step": 15056 + }, + { + "epoch": 0.53, + "learning_rate": 9.165955022313513e-05, + "loss": 0.5115, + "step": 15057 + }, + { + "epoch": 0.53, + "learning_rate": 9.164858709027952e-05, + "loss": 0.4729, + "step": 15058 + }, + { + "epoch": 0.53, + "learning_rate": 9.163762405850382e-05, + "loss": 0.6735, + "step": 15059 + }, + { + "epoch": 0.53, + "learning_rate": 9.162666112794078e-05, + "loss": 0.5234, + "step": 15060 + }, + { + "epoch": 0.53, + "learning_rate": 9.161569829872301e-05, + "loss": 0.5628, + "step": 15061 + }, + { + "epoch": 0.53, + "learning_rate": 9.160473557098329e-05, + "loss": 0.5097, + "step": 15062 + }, + { + "epoch": 0.53, + "learning_rate": 9.159377294485423e-05, + "loss": 0.5219, + "step": 15063 + }, + { + "epoch": 0.53, + "learning_rate": 9.158281042046852e-05, + "loss": 0.5654, + "step": 15064 + }, + { + "epoch": 0.53, + "learning_rate": 9.157184799795889e-05, + "loss": 0.5987, + "step": 15065 + }, + { + "epoch": 0.53, + "learning_rate": 9.156088567745799e-05, + "loss": 0.542, + "step": 15066 + }, + { + "epoch": 0.53, + "learning_rate": 9.154992345909848e-05, + "loss": 0.4744, + "step": 15067 + }, + { + "epoch": 0.53, + "learning_rate": 9.153896134301309e-05, + "loss": 0.5845, + "step": 15068 + }, + { + "epoch": 0.53, + "learning_rate": 9.152799932933446e-05, + "loss": 0.5303, + "step": 15069 + }, + { + "epoch": 0.53, + "learning_rate": 9.151703741819529e-05, + "loss": 0.6674, + "step": 15070 + }, + { + "epoch": 0.53, + "learning_rate": 9.150607560972825e-05, + "loss": 0.5233, + "step": 15071 + }, + { + "epoch": 0.53, + "learning_rate": 9.149511390406598e-05, + "loss": 0.5471, + "step": 15072 + }, + { + "epoch": 0.53, + "learning_rate": 9.148415230134121e-05, + "loss": 0.6328, + "step": 15073 + }, + { + "epoch": 0.53, + "learning_rate": 9.147319080168655e-05, + "loss": 0.5411, + "step": 15074 + }, + { + "epoch": 0.53, + "learning_rate": 9.146222940523474e-05, + "loss": 0.4594, + "step": 15075 + }, + { + "epoch": 0.53, + "learning_rate": 9.145126811211842e-05, + "loss": 0.494, + "step": 15076 + }, + { + "epoch": 0.53, + "learning_rate": 9.144030692247022e-05, + "loss": 0.4449, + "step": 15077 + }, + { + "epoch": 0.53, + "learning_rate": 9.142934583642286e-05, + "loss": 0.5511, + "step": 15078 + }, + { + "epoch": 0.53, + "learning_rate": 9.141838485410897e-05, + "loss": 0.5953, + "step": 15079 + }, + { + "epoch": 0.53, + "learning_rate": 9.140742397566126e-05, + "loss": 0.5398, + "step": 15080 + }, + { + "epoch": 0.53, + "learning_rate": 9.139646320121235e-05, + "loss": 0.578, + "step": 15081 + }, + { + "epoch": 0.53, + "learning_rate": 9.138550253089489e-05, + "loss": 0.5101, + "step": 15082 + }, + { + "epoch": 0.53, + "learning_rate": 9.137454196484159e-05, + "loss": 0.4935, + "step": 15083 + }, + { + "epoch": 0.53, + "learning_rate": 9.13635815031851e-05, + "loss": 0.5676, + "step": 15084 + }, + { + "epoch": 0.53, + "learning_rate": 9.135262114605801e-05, + "loss": 0.5122, + "step": 15085 + }, + { + "epoch": 0.53, + "learning_rate": 9.134166089359307e-05, + "loss": 0.5605, + "step": 15086 + }, + { + "epoch": 0.53, + "learning_rate": 9.133070074592288e-05, + "loss": 0.6075, + "step": 15087 + }, + { + "epoch": 0.53, + "learning_rate": 9.131974070318012e-05, + "loss": 0.6153, + "step": 15088 + }, + { + "epoch": 0.53, + "learning_rate": 9.130878076549743e-05, + "loss": 0.5636, + "step": 15089 + }, + { + "epoch": 0.53, + "learning_rate": 9.129782093300746e-05, + "loss": 0.5974, + "step": 15090 + }, + { + "epoch": 0.53, + "learning_rate": 9.128686120584288e-05, + "loss": 0.5452, + "step": 15091 + }, + { + "epoch": 0.53, + "learning_rate": 9.12759015841363e-05, + "loss": 0.5537, + "step": 15092 + }, + { + "epoch": 0.53, + "learning_rate": 9.126494206802041e-05, + "loss": 0.6546, + "step": 15093 + }, + { + "epoch": 0.53, + "learning_rate": 9.125398265762784e-05, + "loss": 0.4968, + "step": 15094 + }, + { + "epoch": 0.53, + "learning_rate": 9.124302335309122e-05, + "loss": 0.4255, + "step": 15095 + }, + { + "epoch": 0.53, + "learning_rate": 9.123206415454322e-05, + "loss": 0.5182, + "step": 15096 + }, + { + "epoch": 0.53, + "learning_rate": 9.122110506211645e-05, + "loss": 0.5694, + "step": 15097 + }, + { + "epoch": 0.53, + "learning_rate": 9.121014607594361e-05, + "loss": 0.5272, + "step": 15098 + }, + { + "epoch": 0.53, + "learning_rate": 9.119918719615728e-05, + "loss": 0.6009, + "step": 15099 + }, + { + "epoch": 0.53, + "learning_rate": 9.118822842289011e-05, + "loss": 0.5699, + "step": 15100 + }, + { + "epoch": 0.53, + "learning_rate": 9.117726975627477e-05, + "loss": 0.532, + "step": 15101 + }, + { + "epoch": 0.53, + "learning_rate": 9.116631119644389e-05, + "loss": 0.5343, + "step": 15102 + }, + { + "epoch": 0.53, + "learning_rate": 9.115535274353005e-05, + "loss": 0.6168, + "step": 15103 + }, + { + "epoch": 0.53, + "learning_rate": 9.114439439766595e-05, + "loss": 0.634, + "step": 15104 + }, + { + "epoch": 0.53, + "learning_rate": 9.113343615898418e-05, + "loss": 0.6036, + "step": 15105 + }, + { + "epoch": 0.53, + "learning_rate": 9.112247802761742e-05, + "loss": 0.4925, + "step": 15106 + }, + { + "epoch": 0.53, + "learning_rate": 9.111152000369825e-05, + "loss": 0.5761, + "step": 15107 + }, + { + "epoch": 0.53, + "learning_rate": 9.110056208735931e-05, + "loss": 0.5818, + "step": 15108 + }, + { + "epoch": 0.53, + "learning_rate": 9.108960427873326e-05, + "loss": 0.5148, + "step": 15109 + }, + { + "epoch": 0.53, + "learning_rate": 9.107864657795268e-05, + "loss": 0.5849, + "step": 15110 + }, + { + "epoch": 0.53, + "learning_rate": 9.106768898515022e-05, + "loss": 0.5146, + "step": 15111 + }, + { + "epoch": 0.53, + "learning_rate": 9.10567315004585e-05, + "loss": 0.4846, + "step": 15112 + }, + { + "epoch": 0.53, + "learning_rate": 9.104577412401013e-05, + "loss": 0.5204, + "step": 15113 + }, + { + "epoch": 0.53, + "learning_rate": 9.103481685593776e-05, + "loss": 0.6438, + "step": 15114 + }, + { + "epoch": 0.53, + "learning_rate": 9.1023859696374e-05, + "loss": 0.5393, + "step": 15115 + }, + { + "epoch": 0.53, + "learning_rate": 9.101290264545141e-05, + "loss": 0.5259, + "step": 15116 + }, + { + "epoch": 0.53, + "learning_rate": 9.10019457033027e-05, + "loss": 0.5358, + "step": 15117 + }, + { + "epoch": 0.53, + "learning_rate": 9.099098887006042e-05, + "loss": 0.4805, + "step": 15118 + }, + { + "epoch": 0.53, + "learning_rate": 9.098003214585722e-05, + "loss": 0.5801, + "step": 15119 + }, + { + "epoch": 0.53, + "learning_rate": 9.09690755308257e-05, + "loss": 0.5217, + "step": 15120 + }, + { + "epoch": 0.53, + "learning_rate": 9.095811902509846e-05, + "loss": 0.5281, + "step": 15121 + }, + { + "epoch": 0.53, + "learning_rate": 9.094716262880812e-05, + "loss": 0.6277, + "step": 15122 + }, + { + "epoch": 0.53, + "learning_rate": 9.093620634208728e-05, + "loss": 0.4751, + "step": 15123 + }, + { + "epoch": 0.53, + "learning_rate": 9.092525016506858e-05, + "loss": 0.5901, + "step": 15124 + }, + { + "epoch": 0.53, + "learning_rate": 9.09142940978846e-05, + "loss": 0.657, + "step": 15125 + }, + { + "epoch": 0.53, + "learning_rate": 9.090333814066793e-05, + "loss": 0.5697, + "step": 15126 + }, + { + "epoch": 0.53, + "learning_rate": 9.089238229355121e-05, + "loss": 0.5282, + "step": 15127 + }, + { + "epoch": 0.53, + "learning_rate": 9.088142655666701e-05, + "loss": 0.5451, + "step": 15128 + }, + { + "epoch": 0.53, + "learning_rate": 9.087047093014796e-05, + "loss": 0.5424, + "step": 15129 + }, + { + "epoch": 0.53, + "learning_rate": 9.085951541412664e-05, + "loss": 0.6267, + "step": 15130 + }, + { + "epoch": 0.53, + "learning_rate": 9.084856000873564e-05, + "loss": 0.5894, + "step": 15131 + }, + { + "epoch": 0.53, + "learning_rate": 9.083760471410759e-05, + "loss": 0.5936, + "step": 15132 + }, + { + "epoch": 0.53, + "learning_rate": 9.082664953037506e-05, + "loss": 0.5556, + "step": 15133 + }, + { + "epoch": 0.53, + "learning_rate": 9.081569445767063e-05, + "loss": 0.5103, + "step": 15134 + }, + { + "epoch": 0.53, + "learning_rate": 9.080473949612694e-05, + "loss": 0.5167, + "step": 15135 + }, + { + "epoch": 0.53, + "learning_rate": 9.079378464587651e-05, + "loss": 0.6426, + "step": 15136 + }, + { + "epoch": 0.53, + "learning_rate": 9.078282990705203e-05, + "loss": 0.5532, + "step": 15137 + }, + { + "epoch": 0.53, + "learning_rate": 9.077187527978602e-05, + "loss": 0.4933, + "step": 15138 + }, + { + "epoch": 0.53, + "learning_rate": 9.076092076421104e-05, + "loss": 0.4484, + "step": 15139 + }, + { + "epoch": 0.53, + "learning_rate": 9.074996636045976e-05, + "loss": 0.5428, + "step": 15140 + }, + { + "epoch": 0.53, + "learning_rate": 9.073901206866468e-05, + "loss": 0.7118, + "step": 15141 + }, + { + "epoch": 0.53, + "learning_rate": 9.072805788895847e-05, + "loss": 0.494, + "step": 15142 + }, + { + "epoch": 0.53, + "learning_rate": 9.071710382147365e-05, + "loss": 0.5597, + "step": 15143 + }, + { + "epoch": 0.53, + "learning_rate": 9.07061498663428e-05, + "loss": 0.5315, + "step": 15144 + }, + { + "epoch": 0.53, + "learning_rate": 9.069519602369856e-05, + "loss": 0.4744, + "step": 15145 + }, + { + "epoch": 0.53, + "learning_rate": 9.068424229367342e-05, + "loss": 0.4764, + "step": 15146 + }, + { + "epoch": 0.53, + "learning_rate": 9.067328867640002e-05, + "loss": 0.4855, + "step": 15147 + }, + { + "epoch": 0.53, + "learning_rate": 9.066233517201093e-05, + "loss": 0.4996, + "step": 15148 + }, + { + "epoch": 0.53, + "learning_rate": 9.065138178063869e-05, + "loss": 0.5025, + "step": 15149 + }, + { + "epoch": 0.53, + "learning_rate": 9.064042850241591e-05, + "loss": 0.5403, + "step": 15150 + }, + { + "epoch": 0.53, + "learning_rate": 9.062947533747514e-05, + "loss": 0.541, + "step": 15151 + }, + { + "epoch": 0.53, + "learning_rate": 9.061852228594895e-05, + "loss": 0.5282, + "step": 15152 + }, + { + "epoch": 0.53, + "learning_rate": 9.060756934796993e-05, + "loss": 0.505, + "step": 15153 + }, + { + "epoch": 0.53, + "learning_rate": 9.05966165236706e-05, + "loss": 0.5174, + "step": 15154 + }, + { + "epoch": 0.53, + "learning_rate": 9.058566381318358e-05, + "loss": 0.5411, + "step": 15155 + }, + { + "epoch": 0.53, + "learning_rate": 9.057471121664141e-05, + "loss": 0.5458, + "step": 15156 + }, + { + "epoch": 0.53, + "learning_rate": 9.056375873417662e-05, + "loss": 0.4931, + "step": 15157 + }, + { + "epoch": 0.53, + "learning_rate": 9.055280636592184e-05, + "loss": 0.5195, + "step": 15158 + }, + { + "epoch": 0.53, + "learning_rate": 9.054185411200957e-05, + "loss": 0.4865, + "step": 15159 + }, + { + "epoch": 0.53, + "learning_rate": 9.053090197257241e-05, + "loss": 0.5474, + "step": 15160 + }, + { + "epoch": 0.53, + "learning_rate": 9.051994994774291e-05, + "loss": 0.4535, + "step": 15161 + }, + { + "epoch": 0.53, + "learning_rate": 9.050899803765359e-05, + "loss": 0.6639, + "step": 15162 + }, + { + "epoch": 0.53, + "learning_rate": 9.049804624243706e-05, + "loss": 0.4803, + "step": 15163 + }, + { + "epoch": 0.53, + "learning_rate": 9.048709456222581e-05, + "loss": 0.5494, + "step": 15164 + }, + { + "epoch": 0.53, + "learning_rate": 9.047614299715246e-05, + "loss": 0.5456, + "step": 15165 + }, + { + "epoch": 0.53, + "learning_rate": 9.046519154734952e-05, + "loss": 0.5395, + "step": 15166 + }, + { + "epoch": 0.53, + "learning_rate": 9.045424021294953e-05, + "loss": 0.5072, + "step": 15167 + }, + { + "epoch": 0.53, + "learning_rate": 9.044328899408508e-05, + "loss": 0.5282, + "step": 15168 + }, + { + "epoch": 0.53, + "learning_rate": 9.043233789088868e-05, + "loss": 0.5878, + "step": 15169 + }, + { + "epoch": 0.53, + "learning_rate": 9.042138690349287e-05, + "loss": 0.5794, + "step": 15170 + }, + { + "epoch": 0.53, + "learning_rate": 9.041043603203022e-05, + "loss": 0.547, + "step": 15171 + }, + { + "epoch": 0.53, + "learning_rate": 9.039948527663325e-05, + "loss": 0.6236, + "step": 15172 + }, + { + "epoch": 0.53, + "learning_rate": 9.038853463743452e-05, + "loss": 0.4676, + "step": 15173 + }, + { + "epoch": 0.53, + "learning_rate": 9.037758411456659e-05, + "loss": 0.5318, + "step": 15174 + }, + { + "epoch": 0.53, + "learning_rate": 9.036663370816194e-05, + "loss": 0.6772, + "step": 15175 + }, + { + "epoch": 0.53, + "learning_rate": 9.035568341835312e-05, + "loss": 0.5921, + "step": 15176 + }, + { + "epoch": 0.53, + "learning_rate": 9.03447332452727e-05, + "loss": 0.5866, + "step": 15177 + }, + { + "epoch": 0.53, + "learning_rate": 9.033378318905319e-05, + "loss": 0.5334, + "step": 15178 + }, + { + "epoch": 0.53, + "learning_rate": 9.032283324982711e-05, + "loss": 0.557, + "step": 15179 + }, + { + "epoch": 0.53, + "learning_rate": 9.031188342772703e-05, + "loss": 0.6382, + "step": 15180 + }, + { + "epoch": 0.53, + "learning_rate": 9.030093372288541e-05, + "loss": 0.5602, + "step": 15181 + }, + { + "epoch": 0.53, + "learning_rate": 9.028998413543488e-05, + "loss": 0.5339, + "step": 15182 + }, + { + "epoch": 0.53, + "learning_rate": 9.027903466550788e-05, + "loss": 0.6185, + "step": 15183 + }, + { + "epoch": 0.53, + "learning_rate": 9.026808531323695e-05, + "loss": 0.5512, + "step": 15184 + }, + { + "epoch": 0.53, + "learning_rate": 9.025713607875467e-05, + "loss": 0.5285, + "step": 15185 + }, + { + "epoch": 0.53, + "learning_rate": 9.02461869621935e-05, + "loss": 0.5558, + "step": 15186 + }, + { + "epoch": 0.53, + "learning_rate": 9.023523796368597e-05, + "loss": 0.5862, + "step": 15187 + }, + { + "epoch": 0.53, + "learning_rate": 9.022428908336464e-05, + "loss": 0.5293, + "step": 15188 + }, + { + "epoch": 0.53, + "learning_rate": 9.021334032136196e-05, + "loss": 0.5318, + "step": 15189 + }, + { + "epoch": 0.53, + "learning_rate": 9.020239167781052e-05, + "loss": 0.4631, + "step": 15190 + }, + { + "epoch": 0.53, + "learning_rate": 9.019144315284278e-05, + "loss": 0.5144, + "step": 15191 + }, + { + "epoch": 0.53, + "learning_rate": 9.018049474659128e-05, + "loss": 0.5521, + "step": 15192 + }, + { + "epoch": 0.53, + "learning_rate": 9.016954645918852e-05, + "loss": 0.6249, + "step": 15193 + }, + { + "epoch": 0.53, + "learning_rate": 9.015859829076701e-05, + "loss": 0.4734, + "step": 15194 + }, + { + "epoch": 0.53, + "learning_rate": 9.014765024145929e-05, + "loss": 0.632, + "step": 15195 + }, + { + "epoch": 0.53, + "learning_rate": 9.013670231139785e-05, + "loss": 0.4646, + "step": 15196 + }, + { + "epoch": 0.53, + "learning_rate": 9.012575450071517e-05, + "loss": 0.6163, + "step": 15197 + }, + { + "epoch": 0.53, + "learning_rate": 9.011480680954379e-05, + "loss": 0.5145, + "step": 15198 + }, + { + "epoch": 0.53, + "learning_rate": 9.010385923801616e-05, + "loss": 0.5255, + "step": 15199 + }, + { + "epoch": 0.53, + "learning_rate": 9.009291178626486e-05, + "loss": 0.5464, + "step": 15200 + }, + { + "epoch": 0.53, + "eval_loss": 0.5304505228996277, + "eval_runtime": 845.7643, + "eval_samples_per_second": 28.448, + "eval_steps_per_second": 14.224, + "step": 15200 + }, + { + "epoch": 0.53, + "learning_rate": 9.008196445442237e-05, + "loss": 0.5681, + "step": 15201 + }, + { + "epoch": 0.53, + "learning_rate": 9.007101724262112e-05, + "loss": 0.454, + "step": 15202 + }, + { + "epoch": 0.53, + "learning_rate": 9.006007015099369e-05, + "loss": 0.4976, + "step": 15203 + }, + { + "epoch": 0.53, + "learning_rate": 9.004912317967256e-05, + "loss": 0.5033, + "step": 15204 + }, + { + "epoch": 0.53, + "learning_rate": 9.003817632879017e-05, + "loss": 0.4336, + "step": 15205 + }, + { + "epoch": 0.53, + "learning_rate": 9.002722959847907e-05, + "loss": 0.5366, + "step": 15206 + }, + { + "epoch": 0.53, + "learning_rate": 9.001628298887174e-05, + "loss": 0.5985, + "step": 15207 + }, + { + "epoch": 0.53, + "learning_rate": 9.000533650010068e-05, + "loss": 0.4748, + "step": 15208 + }, + { + "epoch": 0.53, + "learning_rate": 8.999439013229835e-05, + "loss": 0.5282, + "step": 15209 + }, + { + "epoch": 0.53, + "learning_rate": 8.998344388559725e-05, + "loss": 0.5697, + "step": 15210 + }, + { + "epoch": 0.53, + "learning_rate": 8.997249776012987e-05, + "loss": 0.4908, + "step": 15211 + }, + { + "epoch": 0.53, + "learning_rate": 8.996155175602868e-05, + "loss": 0.5364, + "step": 15212 + }, + { + "epoch": 0.53, + "learning_rate": 8.995060587342621e-05, + "loss": 0.5389, + "step": 15213 + }, + { + "epoch": 0.53, + "learning_rate": 8.99396601124549e-05, + "loss": 0.4944, + "step": 15214 + }, + { + "epoch": 0.53, + "learning_rate": 8.99287144732472e-05, + "loss": 0.5886, + "step": 15215 + }, + { + "epoch": 0.53, + "learning_rate": 8.991776895593567e-05, + "loss": 0.6493, + "step": 15216 + }, + { + "epoch": 0.53, + "learning_rate": 8.990682356065274e-05, + "loss": 0.5046, + "step": 15217 + }, + { + "epoch": 0.53, + "learning_rate": 8.989587828753087e-05, + "loss": 0.6143, + "step": 15218 + }, + { + "epoch": 0.53, + "learning_rate": 8.988493313670256e-05, + "loss": 0.4794, + "step": 15219 + }, + { + "epoch": 0.53, + "learning_rate": 8.987398810830027e-05, + "loss": 0.5365, + "step": 15220 + }, + { + "epoch": 0.53, + "learning_rate": 8.98630432024565e-05, + "loss": 0.602, + "step": 15221 + }, + { + "epoch": 0.53, + "learning_rate": 8.985209841930369e-05, + "loss": 0.548, + "step": 15222 + }, + { + "epoch": 0.53, + "learning_rate": 8.984115375897431e-05, + "loss": 0.5641, + "step": 15223 + }, + { + "epoch": 0.53, + "learning_rate": 8.983020922160084e-05, + "loss": 0.5307, + "step": 15224 + }, + { + "epoch": 0.53, + "learning_rate": 8.981926480731573e-05, + "loss": 0.4726, + "step": 15225 + }, + { + "epoch": 0.53, + "learning_rate": 8.980832051625147e-05, + "loss": 0.508, + "step": 15226 + }, + { + "epoch": 0.53, + "learning_rate": 8.97973763485405e-05, + "loss": 0.5308, + "step": 15227 + }, + { + "epoch": 0.53, + "learning_rate": 8.978643230431527e-05, + "loss": 0.5919, + "step": 15228 + }, + { + "epoch": 0.53, + "learning_rate": 8.977548838370827e-05, + "loss": 0.4792, + "step": 15229 + }, + { + "epoch": 0.53, + "learning_rate": 8.976454458685192e-05, + "loss": 0.5666, + "step": 15230 + }, + { + "epoch": 0.53, + "learning_rate": 8.975360091387873e-05, + "loss": 0.5956, + "step": 15231 + }, + { + "epoch": 0.53, + "learning_rate": 8.974265736492113e-05, + "loss": 0.5225, + "step": 15232 + }, + { + "epoch": 0.53, + "learning_rate": 8.973171394011154e-05, + "loss": 0.6233, + "step": 15233 + }, + { + "epoch": 0.53, + "learning_rate": 8.972077063958246e-05, + "loss": 0.5875, + "step": 15234 + }, + { + "epoch": 0.53, + "learning_rate": 8.970982746346632e-05, + "loss": 0.5895, + "step": 15235 + }, + { + "epoch": 0.53, + "learning_rate": 8.969888441189555e-05, + "loss": 0.543, + "step": 15236 + }, + { + "epoch": 0.53, + "learning_rate": 8.968794148500264e-05, + "loss": 0.609, + "step": 15237 + }, + { + "epoch": 0.53, + "learning_rate": 8.967699868291999e-05, + "loss": 0.5678, + "step": 15238 + }, + { + "epoch": 0.53, + "learning_rate": 8.966605600578008e-05, + "loss": 0.4584, + "step": 15239 + }, + { + "epoch": 0.53, + "learning_rate": 8.965511345371536e-05, + "loss": 0.6256, + "step": 15240 + }, + { + "epoch": 0.53, + "learning_rate": 8.964417102685821e-05, + "loss": 0.5338, + "step": 15241 + }, + { + "epoch": 0.53, + "learning_rate": 8.963322872534114e-05, + "loss": 0.6478, + "step": 15242 + }, + { + "epoch": 0.53, + "learning_rate": 8.962228654929654e-05, + "loss": 0.5949, + "step": 15243 + }, + { + "epoch": 0.53, + "learning_rate": 8.961134449885688e-05, + "loss": 0.5794, + "step": 15244 + }, + { + "epoch": 0.53, + "learning_rate": 8.960040257415459e-05, + "loss": 0.4969, + "step": 15245 + }, + { + "epoch": 0.53, + "learning_rate": 8.958946077532207e-05, + "loss": 0.4386, + "step": 15246 + }, + { + "epoch": 0.53, + "learning_rate": 8.957851910249181e-05, + "loss": 0.5729, + "step": 15247 + }, + { + "epoch": 0.53, + "learning_rate": 8.956757755579618e-05, + "loss": 0.5654, + "step": 15248 + }, + { + "epoch": 0.53, + "learning_rate": 8.955663613536766e-05, + "loss": 0.5249, + "step": 15249 + }, + { + "epoch": 0.53, + "learning_rate": 8.954569484133864e-05, + "loss": 0.5159, + "step": 15250 + }, + { + "epoch": 0.53, + "learning_rate": 8.953475367384156e-05, + "loss": 0.4991, + "step": 15251 + }, + { + "epoch": 0.53, + "learning_rate": 8.952381263300885e-05, + "loss": 0.5895, + "step": 15252 + }, + { + "epoch": 0.53, + "learning_rate": 8.951287171897295e-05, + "loss": 0.645, + "step": 15253 + }, + { + "epoch": 0.53, + "learning_rate": 8.950193093186622e-05, + "loss": 0.4969, + "step": 15254 + }, + { + "epoch": 0.53, + "learning_rate": 8.949099027182115e-05, + "loss": 0.6093, + "step": 15255 + }, + { + "epoch": 0.53, + "learning_rate": 8.948004973897011e-05, + "loss": 0.5565, + "step": 15256 + }, + { + "epoch": 0.53, + "learning_rate": 8.946910933344554e-05, + "loss": 0.4413, + "step": 15257 + }, + { + "epoch": 0.53, + "learning_rate": 8.945816905537987e-05, + "loss": 0.5291, + "step": 15258 + }, + { + "epoch": 0.53, + "learning_rate": 8.944722890490547e-05, + "loss": 0.4985, + "step": 15259 + }, + { + "epoch": 0.53, + "learning_rate": 8.943628888215481e-05, + "loss": 0.5374, + "step": 15260 + }, + { + "epoch": 0.53, + "learning_rate": 8.942534898726022e-05, + "loss": 0.5348, + "step": 15261 + }, + { + "epoch": 0.53, + "learning_rate": 8.94144092203542e-05, + "loss": 0.5276, + "step": 15262 + }, + { + "epoch": 0.53, + "learning_rate": 8.940346958156912e-05, + "loss": 0.5526, + "step": 15263 + }, + { + "epoch": 0.53, + "learning_rate": 8.939253007103734e-05, + "loss": 0.5554, + "step": 15264 + }, + { + "epoch": 0.53, + "learning_rate": 8.938159068889133e-05, + "loss": 0.603, + "step": 15265 + }, + { + "epoch": 0.53, + "learning_rate": 8.937065143526347e-05, + "loss": 0.5224, + "step": 15266 + }, + { + "epoch": 0.53, + "learning_rate": 8.935971231028615e-05, + "loss": 0.5747, + "step": 15267 + }, + { + "epoch": 0.53, + "learning_rate": 8.93487733140918e-05, + "loss": 0.5803, + "step": 15268 + }, + { + "epoch": 0.53, + "learning_rate": 8.933783444681276e-05, + "loss": 0.4411, + "step": 15269 + }, + { + "epoch": 0.53, + "learning_rate": 8.932689570858149e-05, + "loss": 0.4977, + "step": 15270 + }, + { + "epoch": 0.53, + "learning_rate": 8.931595709953038e-05, + "loss": 0.5822, + "step": 15271 + }, + { + "epoch": 0.53, + "learning_rate": 8.930501861979176e-05, + "loss": 0.558, + "step": 15272 + }, + { + "epoch": 0.53, + "learning_rate": 8.929408026949811e-05, + "loss": 0.5088, + "step": 15273 + }, + { + "epoch": 0.53, + "learning_rate": 8.928314204878173e-05, + "loss": 0.6166, + "step": 15274 + }, + { + "epoch": 0.53, + "learning_rate": 8.927220395777509e-05, + "loss": 0.5197, + "step": 15275 + }, + { + "epoch": 0.53, + "learning_rate": 8.926126599661055e-05, + "loss": 0.484, + "step": 15276 + }, + { + "epoch": 0.53, + "learning_rate": 8.925032816542044e-05, + "loss": 0.5769, + "step": 15277 + }, + { + "epoch": 0.53, + "learning_rate": 8.923939046433725e-05, + "loss": 0.4688, + "step": 15278 + }, + { + "epoch": 0.53, + "learning_rate": 8.922845289349325e-05, + "loss": 0.6142, + "step": 15279 + }, + { + "epoch": 0.53, + "learning_rate": 8.921751545302092e-05, + "loss": 0.4754, + "step": 15280 + }, + { + "epoch": 0.53, + "learning_rate": 8.920657814305258e-05, + "loss": 0.4614, + "step": 15281 + }, + { + "epoch": 0.53, + "learning_rate": 8.919564096372062e-05, + "loss": 0.5754, + "step": 15282 + }, + { + "epoch": 0.53, + "learning_rate": 8.918470391515742e-05, + "loss": 0.4881, + "step": 15283 + }, + { + "epoch": 0.53, + "learning_rate": 8.917376699749539e-05, + "loss": 0.5494, + "step": 15284 + }, + { + "epoch": 0.53, + "learning_rate": 8.916283021086682e-05, + "loss": 0.6074, + "step": 15285 + }, + { + "epoch": 0.53, + "learning_rate": 8.915189355540415e-05, + "loss": 0.5378, + "step": 15286 + }, + { + "epoch": 0.53, + "learning_rate": 8.914095703123973e-05, + "loss": 0.5041, + "step": 15287 + }, + { + "epoch": 0.53, + "learning_rate": 8.913002063850593e-05, + "loss": 0.4864, + "step": 15288 + }, + { + "epoch": 0.54, + "learning_rate": 8.911908437733511e-05, + "loss": 0.5537, + "step": 15289 + }, + { + "epoch": 0.54, + "learning_rate": 8.910814824785964e-05, + "loss": 0.518, + "step": 15290 + }, + { + "epoch": 0.54, + "learning_rate": 8.909721225021188e-05, + "loss": 0.5341, + "step": 15291 + }, + { + "epoch": 0.54, + "learning_rate": 8.908627638452419e-05, + "loss": 0.5406, + "step": 15292 + }, + { + "epoch": 0.54, + "learning_rate": 8.907534065092896e-05, + "loss": 0.5492, + "step": 15293 + }, + { + "epoch": 0.54, + "learning_rate": 8.906440504955851e-05, + "loss": 0.4778, + "step": 15294 + }, + { + "epoch": 0.54, + "learning_rate": 8.90534695805452e-05, + "loss": 0.431, + "step": 15295 + }, + { + "epoch": 0.54, + "learning_rate": 8.904253424402142e-05, + "loss": 0.5027, + "step": 15296 + }, + { + "epoch": 0.54, + "learning_rate": 8.903159904011948e-05, + "loss": 0.577, + "step": 15297 + }, + { + "epoch": 0.54, + "learning_rate": 8.902066396897177e-05, + "loss": 0.6079, + "step": 15298 + }, + { + "epoch": 0.54, + "learning_rate": 8.900972903071062e-05, + "loss": 0.5032, + "step": 15299 + }, + { + "epoch": 0.54, + "learning_rate": 8.899879422546838e-05, + "loss": 0.536, + "step": 15300 + }, + { + "epoch": 0.54, + "learning_rate": 8.898785955337743e-05, + "loss": 0.484, + "step": 15301 + }, + { + "epoch": 0.54, + "learning_rate": 8.897692501457006e-05, + "loss": 0.4986, + "step": 15302 + }, + { + "epoch": 0.54, + "learning_rate": 8.896599060917864e-05, + "loss": 0.5536, + "step": 15303 + }, + { + "epoch": 0.54, + "learning_rate": 8.895505633733554e-05, + "loss": 0.6207, + "step": 15304 + }, + { + "epoch": 0.54, + "learning_rate": 8.894412219917304e-05, + "loss": 0.5419, + "step": 15305 + }, + { + "epoch": 0.54, + "learning_rate": 8.893318819482355e-05, + "loss": 0.4713, + "step": 15306 + }, + { + "epoch": 0.54, + "learning_rate": 8.892225432441937e-05, + "loss": 0.5318, + "step": 15307 + }, + { + "epoch": 0.54, + "learning_rate": 8.89113205880928e-05, + "loss": 0.5531, + "step": 15308 + }, + { + "epoch": 0.54, + "learning_rate": 8.890038698597628e-05, + "loss": 0.6339, + "step": 15309 + }, + { + "epoch": 0.54, + "learning_rate": 8.888945351820205e-05, + "loss": 0.6809, + "step": 15310 + }, + { + "epoch": 0.54, + "learning_rate": 8.887852018490246e-05, + "loss": 0.4982, + "step": 15311 + }, + { + "epoch": 0.54, + "learning_rate": 8.886758698620984e-05, + "loss": 0.53, + "step": 15312 + }, + { + "epoch": 0.54, + "learning_rate": 8.885665392225654e-05, + "loss": 0.5356, + "step": 15313 + }, + { + "epoch": 0.54, + "learning_rate": 8.884572099317485e-05, + "loss": 0.6849, + "step": 15314 + }, + { + "epoch": 0.54, + "learning_rate": 8.883478819909715e-05, + "loss": 0.5179, + "step": 15315 + }, + { + "epoch": 0.54, + "learning_rate": 8.882385554015571e-05, + "loss": 0.5444, + "step": 15316 + }, + { + "epoch": 0.54, + "learning_rate": 8.881292301648287e-05, + "loss": 0.4961, + "step": 15317 + }, + { + "epoch": 0.54, + "learning_rate": 8.880199062821098e-05, + "loss": 0.5776, + "step": 15318 + }, + { + "epoch": 0.54, + "learning_rate": 8.879105837547233e-05, + "loss": 0.4674, + "step": 15319 + }, + { + "epoch": 0.54, + "learning_rate": 8.87801262583992e-05, + "loss": 0.4611, + "step": 15320 + }, + { + "epoch": 0.54, + "learning_rate": 8.876919427712397e-05, + "loss": 0.6104, + "step": 15321 + }, + { + "epoch": 0.54, + "learning_rate": 8.875826243177891e-05, + "loss": 0.5181, + "step": 15322 + }, + { + "epoch": 0.54, + "learning_rate": 8.874733072249637e-05, + "loss": 0.5338, + "step": 15323 + }, + { + "epoch": 0.54, + "learning_rate": 8.873639914940865e-05, + "loss": 0.5967, + "step": 15324 + }, + { + "epoch": 0.54, + "learning_rate": 8.8725467712648e-05, + "loss": 0.5069, + "step": 15325 + }, + { + "epoch": 0.54, + "learning_rate": 8.871453641234681e-05, + "loss": 0.4952, + "step": 15326 + }, + { + "epoch": 0.54, + "learning_rate": 8.870360524863734e-05, + "loss": 0.4897, + "step": 15327 + }, + { + "epoch": 0.54, + "learning_rate": 8.86926742216519e-05, + "loss": 0.5515, + "step": 15328 + }, + { + "epoch": 0.54, + "learning_rate": 8.86817433315228e-05, + "loss": 0.6932, + "step": 15329 + }, + { + "epoch": 0.54, + "learning_rate": 8.867081257838232e-05, + "loss": 0.5731, + "step": 15330 + }, + { + "epoch": 0.54, + "learning_rate": 8.86598819623628e-05, + "loss": 0.4854, + "step": 15331 + }, + { + "epoch": 0.54, + "learning_rate": 8.864895148359647e-05, + "loss": 0.5303, + "step": 15332 + }, + { + "epoch": 0.54, + "learning_rate": 8.86380211422157e-05, + "loss": 0.4892, + "step": 15333 + }, + { + "epoch": 0.54, + "learning_rate": 8.862709093835274e-05, + "loss": 0.4944, + "step": 15334 + }, + { + "epoch": 0.54, + "learning_rate": 8.861616087213988e-05, + "loss": 0.5733, + "step": 15335 + }, + { + "epoch": 0.54, + "learning_rate": 8.860523094370944e-05, + "loss": 0.546, + "step": 15336 + }, + { + "epoch": 0.54, + "learning_rate": 8.859430115319368e-05, + "loss": 0.5057, + "step": 15337 + }, + { + "epoch": 0.54, + "learning_rate": 8.858337150072489e-05, + "loss": 0.577, + "step": 15338 + }, + { + "epoch": 0.54, + "learning_rate": 8.857244198643537e-05, + "loss": 0.5329, + "step": 15339 + }, + { + "epoch": 0.54, + "learning_rate": 8.856151261045737e-05, + "loss": 0.5045, + "step": 15340 + }, + { + "epoch": 0.54, + "learning_rate": 8.855058337292324e-05, + "loss": 0.5547, + "step": 15341 + }, + { + "epoch": 0.54, + "learning_rate": 8.85396542739652e-05, + "loss": 0.5674, + "step": 15342 + }, + { + "epoch": 0.54, + "learning_rate": 8.852872531371552e-05, + "loss": 0.5365, + "step": 15343 + }, + { + "epoch": 0.54, + "learning_rate": 8.851779649230654e-05, + "loss": 0.5046, + "step": 15344 + }, + { + "epoch": 0.54, + "learning_rate": 8.850686780987047e-05, + "loss": 0.5021, + "step": 15345 + }, + { + "epoch": 0.54, + "learning_rate": 8.849593926653963e-05, + "loss": 0.573, + "step": 15346 + }, + { + "epoch": 0.54, + "learning_rate": 8.848501086244627e-05, + "loss": 0.5689, + "step": 15347 + }, + { + "epoch": 0.54, + "learning_rate": 8.847408259772265e-05, + "loss": 0.5028, + "step": 15348 + }, + { + "epoch": 0.54, + "learning_rate": 8.846315447250106e-05, + "loss": 0.5226, + "step": 15349 + }, + { + "epoch": 0.54, + "learning_rate": 8.845222648691376e-05, + "loss": 0.537, + "step": 15350 + }, + { + "epoch": 0.54, + "learning_rate": 8.844129864109302e-05, + "loss": 0.4681, + "step": 15351 + }, + { + "epoch": 0.54, + "learning_rate": 8.84303709351711e-05, + "loss": 0.5033, + "step": 15352 + }, + { + "epoch": 0.54, + "learning_rate": 8.841944336928024e-05, + "loss": 0.5624, + "step": 15353 + }, + { + "epoch": 0.54, + "learning_rate": 8.840851594355273e-05, + "loss": 0.6204, + "step": 15354 + }, + { + "epoch": 0.54, + "learning_rate": 8.839758865812081e-05, + "loss": 0.5444, + "step": 15355 + }, + { + "epoch": 0.54, + "learning_rate": 8.838666151311674e-05, + "loss": 0.5843, + "step": 15356 + }, + { + "epoch": 0.54, + "learning_rate": 8.837573450867279e-05, + "loss": 0.4802, + "step": 15357 + }, + { + "epoch": 0.54, + "learning_rate": 8.836480764492119e-05, + "loss": 0.5904, + "step": 15358 + }, + { + "epoch": 0.54, + "learning_rate": 8.835388092199422e-05, + "loss": 0.5732, + "step": 15359 + }, + { + "epoch": 0.54, + "learning_rate": 8.83429543400241e-05, + "loss": 0.5716, + "step": 15360 + }, + { + "epoch": 0.54, + "learning_rate": 8.833202789914307e-05, + "loss": 0.4208, + "step": 15361 + }, + { + "epoch": 0.54, + "learning_rate": 8.832110159948343e-05, + "loss": 0.6005, + "step": 15362 + }, + { + "epoch": 0.54, + "learning_rate": 8.831017544117737e-05, + "loss": 0.5362, + "step": 15363 + }, + { + "epoch": 0.54, + "learning_rate": 8.829924942435717e-05, + "loss": 0.5944, + "step": 15364 + }, + { + "epoch": 0.54, + "learning_rate": 8.828832354915507e-05, + "loss": 0.5325, + "step": 15365 + }, + { + "epoch": 0.54, + "learning_rate": 8.827739781570327e-05, + "loss": 0.5147, + "step": 15366 + }, + { + "epoch": 0.54, + "learning_rate": 8.826647222413405e-05, + "loss": 0.463, + "step": 15367 + }, + { + "epoch": 0.54, + "learning_rate": 8.825554677457962e-05, + "loss": 0.4754, + "step": 15368 + }, + { + "epoch": 0.54, + "learning_rate": 8.82446214671722e-05, + "loss": 0.5264, + "step": 15369 + }, + { + "epoch": 0.54, + "learning_rate": 8.823369630204409e-05, + "loss": 0.6132, + "step": 15370 + }, + { + "epoch": 0.54, + "learning_rate": 8.822277127932743e-05, + "loss": 0.5238, + "step": 15371 + }, + { + "epoch": 0.54, + "learning_rate": 8.821184639915454e-05, + "loss": 0.6267, + "step": 15372 + }, + { + "epoch": 0.54, + "learning_rate": 8.820092166165759e-05, + "loss": 0.4807, + "step": 15373 + }, + { + "epoch": 0.54, + "learning_rate": 8.81899970669688e-05, + "loss": 0.6018, + "step": 15374 + }, + { + "epoch": 0.54, + "learning_rate": 8.817907261522045e-05, + "loss": 0.5819, + "step": 15375 + }, + { + "epoch": 0.54, + "learning_rate": 8.816814830654468e-05, + "loss": 0.5812, + "step": 15376 + }, + { + "epoch": 0.54, + "learning_rate": 8.815722414107379e-05, + "loss": 0.5507, + "step": 15377 + }, + { + "epoch": 0.54, + "learning_rate": 8.814630011893997e-05, + "loss": 0.517, + "step": 15378 + }, + { + "epoch": 0.54, + "learning_rate": 8.813537624027541e-05, + "loss": 0.5076, + "step": 15379 + }, + { + "epoch": 0.54, + "learning_rate": 8.812445250521236e-05, + "loss": 0.6041, + "step": 15380 + }, + { + "epoch": 0.54, + "learning_rate": 8.8113528913883e-05, + "loss": 0.441, + "step": 15381 + }, + { + "epoch": 0.54, + "learning_rate": 8.81026054664196e-05, + "loss": 0.5532, + "step": 15382 + }, + { + "epoch": 0.54, + "learning_rate": 8.809168216295432e-05, + "loss": 0.5115, + "step": 15383 + }, + { + "epoch": 0.54, + "learning_rate": 8.808075900361936e-05, + "loss": 0.4353, + "step": 15384 + }, + { + "epoch": 0.54, + "learning_rate": 8.806983598854697e-05, + "loss": 0.4847, + "step": 15385 + }, + { + "epoch": 0.54, + "learning_rate": 8.805891311786934e-05, + "loss": 0.5739, + "step": 15386 + }, + { + "epoch": 0.54, + "learning_rate": 8.804799039171863e-05, + "loss": 0.5777, + "step": 15387 + }, + { + "epoch": 0.54, + "learning_rate": 8.803706781022712e-05, + "loss": 0.5655, + "step": 15388 + }, + { + "epoch": 0.54, + "learning_rate": 8.802614537352692e-05, + "loss": 0.515, + "step": 15389 + }, + { + "epoch": 0.54, + "learning_rate": 8.801522308175031e-05, + "loss": 0.5002, + "step": 15390 + }, + { + "epoch": 0.54, + "learning_rate": 8.800430093502947e-05, + "loss": 0.5936, + "step": 15391 + }, + { + "epoch": 0.54, + "learning_rate": 8.799337893349653e-05, + "loss": 0.5517, + "step": 15392 + }, + { + "epoch": 0.54, + "learning_rate": 8.798245707728376e-05, + "loss": 0.5234, + "step": 15393 + }, + { + "epoch": 0.54, + "learning_rate": 8.797153536652329e-05, + "loss": 0.4231, + "step": 15394 + }, + { + "epoch": 0.54, + "learning_rate": 8.796061380134737e-05, + "loss": 0.591, + "step": 15395 + }, + { + "epoch": 0.54, + "learning_rate": 8.794969238188815e-05, + "loss": 0.5775, + "step": 15396 + }, + { + "epoch": 0.54, + "learning_rate": 8.79387711082778e-05, + "loss": 0.6013, + "step": 15397 + }, + { + "epoch": 0.54, + "learning_rate": 8.792784998064854e-05, + "loss": 0.5771, + "step": 15398 + }, + { + "epoch": 0.54, + "learning_rate": 8.791692899913253e-05, + "loss": 0.5725, + "step": 15399 + }, + { + "epoch": 0.54, + "learning_rate": 8.790600816386197e-05, + "loss": 0.5519, + "step": 15400 + }, + { + "epoch": 0.54, + "eval_loss": 0.5259846448898315, + "eval_runtime": 849.9561, + "eval_samples_per_second": 28.307, + "eval_steps_per_second": 14.154, + "step": 15400 + }, + { + "epoch": 0.54, + "learning_rate": 8.789508747496903e-05, + "loss": 0.5868, + "step": 15401 + }, + { + "epoch": 0.54, + "learning_rate": 8.788416693258585e-05, + "loss": 0.5125, + "step": 15402 + }, + { + "epoch": 0.54, + "learning_rate": 8.787324653684468e-05, + "loss": 0.5297, + "step": 15403 + }, + { + "epoch": 0.54, + "learning_rate": 8.786232628787762e-05, + "loss": 0.5566, + "step": 15404 + }, + { + "epoch": 0.54, + "learning_rate": 8.785140618581688e-05, + "loss": 0.4896, + "step": 15405 + }, + { + "epoch": 0.54, + "learning_rate": 8.784048623079464e-05, + "loss": 0.5664, + "step": 15406 + }, + { + "epoch": 0.54, + "learning_rate": 8.782956642294302e-05, + "loss": 0.585, + "step": 15407 + }, + { + "epoch": 0.54, + "learning_rate": 8.781864676239424e-05, + "loss": 0.4519, + "step": 15408 + }, + { + "epoch": 0.54, + "learning_rate": 8.780772724928043e-05, + "loss": 0.4948, + "step": 15409 + }, + { + "epoch": 0.54, + "learning_rate": 8.779680788373376e-05, + "loss": 0.5096, + "step": 15410 + }, + { + "epoch": 0.54, + "learning_rate": 8.778588866588639e-05, + "loss": 0.58, + "step": 15411 + }, + { + "epoch": 0.54, + "learning_rate": 8.777496959587049e-05, + "loss": 0.5392, + "step": 15412 + }, + { + "epoch": 0.54, + "learning_rate": 8.77640506738182e-05, + "loss": 0.4817, + "step": 15413 + }, + { + "epoch": 0.54, + "learning_rate": 8.77531318998617e-05, + "loss": 0.4229, + "step": 15414 + }, + { + "epoch": 0.54, + "learning_rate": 8.774221327413312e-05, + "loss": 0.5633, + "step": 15415 + }, + { + "epoch": 0.54, + "learning_rate": 8.773129479676463e-05, + "loss": 0.5079, + "step": 15416 + }, + { + "epoch": 0.54, + "learning_rate": 8.772037646788836e-05, + "loss": 0.5004, + "step": 15417 + }, + { + "epoch": 0.54, + "learning_rate": 8.770945828763646e-05, + "loss": 0.567, + "step": 15418 + }, + { + "epoch": 0.54, + "learning_rate": 8.76985402561411e-05, + "loss": 0.5075, + "step": 15419 + }, + { + "epoch": 0.54, + "learning_rate": 8.76876223735344e-05, + "loss": 0.5988, + "step": 15420 + }, + { + "epoch": 0.54, + "learning_rate": 8.767670463994851e-05, + "loss": 0.538, + "step": 15421 + }, + { + "epoch": 0.54, + "learning_rate": 8.766578705551559e-05, + "loss": 0.5109, + "step": 15422 + }, + { + "epoch": 0.54, + "learning_rate": 8.765486962036774e-05, + "loss": 0.5615, + "step": 15423 + }, + { + "epoch": 0.54, + "learning_rate": 8.764395233463714e-05, + "loss": 0.4861, + "step": 15424 + }, + { + "epoch": 0.54, + "learning_rate": 8.763303519845588e-05, + "loss": 0.5225, + "step": 15425 + }, + { + "epoch": 0.54, + "learning_rate": 8.762211821195614e-05, + "loss": 0.5908, + "step": 15426 + }, + { + "epoch": 0.54, + "learning_rate": 8.761120137527004e-05, + "loss": 0.7036, + "step": 15427 + }, + { + "epoch": 0.54, + "learning_rate": 8.760028468852967e-05, + "loss": 0.5886, + "step": 15428 + }, + { + "epoch": 0.54, + "learning_rate": 8.75893681518672e-05, + "loss": 0.5076, + "step": 15429 + }, + { + "epoch": 0.54, + "learning_rate": 8.757845176541474e-05, + "loss": 0.5508, + "step": 15430 + }, + { + "epoch": 0.54, + "learning_rate": 8.756753552930445e-05, + "loss": 0.6401, + "step": 15431 + }, + { + "epoch": 0.54, + "learning_rate": 8.75566194436684e-05, + "loss": 0.655, + "step": 15432 + }, + { + "epoch": 0.54, + "learning_rate": 8.754570350863873e-05, + "loss": 0.5768, + "step": 15433 + }, + { + "epoch": 0.54, + "learning_rate": 8.753478772434758e-05, + "loss": 0.6621, + "step": 15434 + }, + { + "epoch": 0.54, + "learning_rate": 8.752387209092706e-05, + "loss": 0.6664, + "step": 15435 + }, + { + "epoch": 0.54, + "learning_rate": 8.751295660850923e-05, + "loss": 0.595, + "step": 15436 + }, + { + "epoch": 0.54, + "learning_rate": 8.750204127722628e-05, + "loss": 0.4242, + "step": 15437 + }, + { + "epoch": 0.54, + "learning_rate": 8.749112609721029e-05, + "loss": 0.5703, + "step": 15438 + }, + { + "epoch": 0.54, + "learning_rate": 8.748021106859337e-05, + "loss": 0.5148, + "step": 15439 + }, + { + "epoch": 0.54, + "learning_rate": 8.746929619150763e-05, + "loss": 0.5909, + "step": 15440 + }, + { + "epoch": 0.54, + "learning_rate": 8.745838146608518e-05, + "loss": 0.5953, + "step": 15441 + }, + { + "epoch": 0.54, + "learning_rate": 8.744746689245812e-05, + "loss": 0.6138, + "step": 15442 + }, + { + "epoch": 0.54, + "learning_rate": 8.743655247075858e-05, + "loss": 0.4775, + "step": 15443 + }, + { + "epoch": 0.54, + "learning_rate": 8.742563820111862e-05, + "loss": 0.6006, + "step": 15444 + }, + { + "epoch": 0.54, + "learning_rate": 8.741472408367033e-05, + "loss": 0.5509, + "step": 15445 + }, + { + "epoch": 0.54, + "learning_rate": 8.740381011854584e-05, + "loss": 0.5084, + "step": 15446 + }, + { + "epoch": 0.54, + "learning_rate": 8.739289630587723e-05, + "loss": 0.5458, + "step": 15447 + }, + { + "epoch": 0.54, + "learning_rate": 8.738198264579662e-05, + "loss": 0.5664, + "step": 15448 + }, + { + "epoch": 0.54, + "learning_rate": 8.737106913843608e-05, + "loss": 0.4286, + "step": 15449 + }, + { + "epoch": 0.54, + "learning_rate": 8.736015578392767e-05, + "loss": 0.5492, + "step": 15450 + }, + { + "epoch": 0.54, + "learning_rate": 8.734924258240354e-05, + "loss": 0.5344, + "step": 15451 + }, + { + "epoch": 0.54, + "learning_rate": 8.733832953399572e-05, + "loss": 0.4574, + "step": 15452 + }, + { + "epoch": 0.54, + "learning_rate": 8.732741663883635e-05, + "loss": 0.6067, + "step": 15453 + }, + { + "epoch": 0.54, + "learning_rate": 8.731650389705748e-05, + "loss": 0.5312, + "step": 15454 + }, + { + "epoch": 0.54, + "learning_rate": 8.730559130879116e-05, + "loss": 0.7229, + "step": 15455 + }, + { + "epoch": 0.54, + "learning_rate": 8.729467887416953e-05, + "loss": 0.4592, + "step": 15456 + }, + { + "epoch": 0.54, + "learning_rate": 8.728376659332465e-05, + "loss": 0.5054, + "step": 15457 + }, + { + "epoch": 0.54, + "learning_rate": 8.727285446638854e-05, + "loss": 0.5414, + "step": 15458 + }, + { + "epoch": 0.54, + "learning_rate": 8.726194249349336e-05, + "loss": 0.5617, + "step": 15459 + }, + { + "epoch": 0.54, + "learning_rate": 8.72510306747711e-05, + "loss": 0.6728, + "step": 15460 + }, + { + "epoch": 0.54, + "learning_rate": 8.724011901035388e-05, + "loss": 0.6544, + "step": 15461 + }, + { + "epoch": 0.54, + "learning_rate": 8.722920750037378e-05, + "loss": 0.5459, + "step": 15462 + }, + { + "epoch": 0.54, + "learning_rate": 8.721829614496279e-05, + "loss": 0.5301, + "step": 15463 + }, + { + "epoch": 0.54, + "learning_rate": 8.720738494425306e-05, + "loss": 0.5148, + "step": 15464 + }, + { + "epoch": 0.54, + "learning_rate": 8.719647389837659e-05, + "loss": 0.4811, + "step": 15465 + }, + { + "epoch": 0.54, + "learning_rate": 8.71855630074655e-05, + "loss": 0.647, + "step": 15466 + }, + { + "epoch": 0.54, + "learning_rate": 8.71746522716518e-05, + "loss": 0.4922, + "step": 15467 + }, + { + "epoch": 0.54, + "learning_rate": 8.716374169106756e-05, + "loss": 0.5329, + "step": 15468 + }, + { + "epoch": 0.54, + "learning_rate": 8.715283126584484e-05, + "loss": 0.4962, + "step": 15469 + }, + { + "epoch": 0.54, + "learning_rate": 8.714192099611567e-05, + "loss": 0.468, + "step": 15470 + }, + { + "epoch": 0.54, + "learning_rate": 8.713101088201212e-05, + "loss": 0.5253, + "step": 15471 + }, + { + "epoch": 0.54, + "learning_rate": 8.712010092366625e-05, + "loss": 0.4837, + "step": 15472 + }, + { + "epoch": 0.54, + "learning_rate": 8.710919112121008e-05, + "loss": 0.5407, + "step": 15473 + }, + { + "epoch": 0.54, + "learning_rate": 8.709828147477568e-05, + "loss": 0.4844, + "step": 15474 + }, + { + "epoch": 0.54, + "learning_rate": 8.708737198449507e-05, + "loss": 0.5621, + "step": 15475 + }, + { + "epoch": 0.54, + "learning_rate": 8.707646265050031e-05, + "loss": 0.5329, + "step": 15476 + }, + { + "epoch": 0.54, + "learning_rate": 8.706555347292344e-05, + "loss": 0.5587, + "step": 15477 + }, + { + "epoch": 0.54, + "learning_rate": 8.705464445189647e-05, + "loss": 0.5752, + "step": 15478 + }, + { + "epoch": 0.54, + "learning_rate": 8.704373558755148e-05, + "loss": 0.5934, + "step": 15479 + }, + { + "epoch": 0.54, + "learning_rate": 8.703282688002046e-05, + "loss": 0.6745, + "step": 15480 + }, + { + "epoch": 0.54, + "learning_rate": 8.702191832943545e-05, + "loss": 0.5616, + "step": 15481 + }, + { + "epoch": 0.54, + "learning_rate": 8.701100993592852e-05, + "loss": 0.5998, + "step": 15482 + }, + { + "epoch": 0.54, + "learning_rate": 8.700010169963163e-05, + "loss": 0.5222, + "step": 15483 + }, + { + "epoch": 0.54, + "learning_rate": 8.698919362067688e-05, + "loss": 0.593, + "step": 15484 + }, + { + "epoch": 0.54, + "learning_rate": 8.697828569919625e-05, + "loss": 0.541, + "step": 15485 + }, + { + "epoch": 0.54, + "learning_rate": 8.696737793532175e-05, + "loss": 0.5476, + "step": 15486 + }, + { + "epoch": 0.54, + "learning_rate": 8.695647032918544e-05, + "loss": 0.5527, + "step": 15487 + }, + { + "epoch": 0.54, + "learning_rate": 8.694556288091933e-05, + "loss": 0.5868, + "step": 15488 + }, + { + "epoch": 0.54, + "learning_rate": 8.693465559065539e-05, + "loss": 0.6218, + "step": 15489 + }, + { + "epoch": 0.54, + "learning_rate": 8.692374845852569e-05, + "loss": 0.4097, + "step": 15490 + }, + { + "epoch": 0.54, + "learning_rate": 8.691284148466221e-05, + "loss": 0.6584, + "step": 15491 + }, + { + "epoch": 0.54, + "learning_rate": 8.690193466919699e-05, + "loss": 0.557, + "step": 15492 + }, + { + "epoch": 0.54, + "learning_rate": 8.689102801226203e-05, + "loss": 0.5754, + "step": 15493 + }, + { + "epoch": 0.54, + "learning_rate": 8.68801215139893e-05, + "loss": 0.5245, + "step": 15494 + }, + { + "epoch": 0.54, + "learning_rate": 8.686921517451087e-05, + "loss": 0.5386, + "step": 15495 + }, + { + "epoch": 0.54, + "learning_rate": 8.685830899395868e-05, + "loss": 0.5673, + "step": 15496 + }, + { + "epoch": 0.54, + "learning_rate": 8.684740297246477e-05, + "loss": 0.4916, + "step": 15497 + }, + { + "epoch": 0.54, + "learning_rate": 8.683649711016113e-05, + "loss": 0.4603, + "step": 15498 + }, + { + "epoch": 0.54, + "learning_rate": 8.682559140717974e-05, + "loss": 0.5868, + "step": 15499 + }, + { + "epoch": 0.54, + "learning_rate": 8.681468586365263e-05, + "loss": 0.5304, + "step": 15500 + }, + { + "epoch": 0.54, + "learning_rate": 8.680378047971173e-05, + "loss": 0.5378, + "step": 15501 + }, + { + "epoch": 0.54, + "learning_rate": 8.679287525548912e-05, + "loss": 0.4945, + "step": 15502 + }, + { + "epoch": 0.54, + "learning_rate": 8.678197019111673e-05, + "loss": 0.561, + "step": 15503 + }, + { + "epoch": 0.54, + "learning_rate": 8.677106528672656e-05, + "loss": 0.5628, + "step": 15504 + }, + { + "epoch": 0.54, + "learning_rate": 8.676016054245062e-05, + "loss": 0.5416, + "step": 15505 + }, + { + "epoch": 0.54, + "learning_rate": 8.674925595842085e-05, + "loss": 0.499, + "step": 15506 + }, + { + "epoch": 0.54, + "learning_rate": 8.673835153476925e-05, + "loss": 0.5083, + "step": 15507 + }, + { + "epoch": 0.54, + "learning_rate": 8.672744727162781e-05, + "loss": 0.5337, + "step": 15508 + }, + { + "epoch": 0.54, + "learning_rate": 8.671654316912849e-05, + "loss": 0.5517, + "step": 15509 + }, + { + "epoch": 0.54, + "learning_rate": 8.670563922740331e-05, + "loss": 0.5293, + "step": 15510 + }, + { + "epoch": 0.54, + "learning_rate": 8.66947354465842e-05, + "loss": 0.47, + "step": 15511 + }, + { + "epoch": 0.54, + "learning_rate": 8.668383182680311e-05, + "loss": 0.5789, + "step": 15512 + }, + { + "epoch": 0.54, + "learning_rate": 8.667292836819208e-05, + "loss": 0.6644, + "step": 15513 + }, + { + "epoch": 0.54, + "learning_rate": 8.666202507088302e-05, + "loss": 0.4383, + "step": 15514 + }, + { + "epoch": 0.54, + "learning_rate": 8.665112193500794e-05, + "loss": 0.5704, + "step": 15515 + }, + { + "epoch": 0.54, + "learning_rate": 8.664021896069879e-05, + "loss": 0.4753, + "step": 15516 + }, + { + "epoch": 0.54, + "learning_rate": 8.662931614808749e-05, + "loss": 0.5996, + "step": 15517 + }, + { + "epoch": 0.54, + "learning_rate": 8.661841349730605e-05, + "loss": 0.5263, + "step": 15518 + }, + { + "epoch": 0.54, + "learning_rate": 8.660751100848641e-05, + "loss": 0.4824, + "step": 15519 + }, + { + "epoch": 0.54, + "learning_rate": 8.659660868176053e-05, + "loss": 0.583, + "step": 15520 + }, + { + "epoch": 0.54, + "learning_rate": 8.658570651726038e-05, + "loss": 0.5218, + "step": 15521 + }, + { + "epoch": 0.54, + "learning_rate": 8.657480451511788e-05, + "loss": 0.5772, + "step": 15522 + }, + { + "epoch": 0.54, + "learning_rate": 8.6563902675465e-05, + "loss": 0.4709, + "step": 15523 + }, + { + "epoch": 0.54, + "learning_rate": 8.655300099843371e-05, + "loss": 0.4887, + "step": 15524 + }, + { + "epoch": 0.54, + "learning_rate": 8.65420994841559e-05, + "loss": 0.5534, + "step": 15525 + }, + { + "epoch": 0.54, + "learning_rate": 8.653119813276356e-05, + "loss": 0.4993, + "step": 15526 + }, + { + "epoch": 0.54, + "learning_rate": 8.652029694438861e-05, + "loss": 0.4869, + "step": 15527 + }, + { + "epoch": 0.54, + "learning_rate": 8.650939591916302e-05, + "loss": 0.5242, + "step": 15528 + }, + { + "epoch": 0.54, + "learning_rate": 8.649849505721871e-05, + "loss": 0.5652, + "step": 15529 + }, + { + "epoch": 0.54, + "learning_rate": 8.648759435868758e-05, + "loss": 0.4282, + "step": 15530 + }, + { + "epoch": 0.54, + "learning_rate": 8.647669382370165e-05, + "loss": 0.532, + "step": 15531 + }, + { + "epoch": 0.54, + "learning_rate": 8.646579345239276e-05, + "loss": 0.4883, + "step": 15532 + }, + { + "epoch": 0.54, + "learning_rate": 8.645489324489292e-05, + "loss": 0.5437, + "step": 15533 + }, + { + "epoch": 0.54, + "learning_rate": 8.644399320133401e-05, + "loss": 0.5667, + "step": 15534 + }, + { + "epoch": 0.54, + "learning_rate": 8.643309332184797e-05, + "loss": 0.5424, + "step": 15535 + }, + { + "epoch": 0.54, + "learning_rate": 8.642219360656674e-05, + "loss": 0.5817, + "step": 15536 + }, + { + "epoch": 0.54, + "learning_rate": 8.641129405562221e-05, + "loss": 0.5511, + "step": 15537 + }, + { + "epoch": 0.54, + "learning_rate": 8.640039466914631e-05, + "loss": 0.6682, + "step": 15538 + }, + { + "epoch": 0.54, + "learning_rate": 8.6389495447271e-05, + "loss": 0.5159, + "step": 15539 + }, + { + "epoch": 0.54, + "learning_rate": 8.637859639012812e-05, + "loss": 0.5554, + "step": 15540 + }, + { + "epoch": 0.54, + "learning_rate": 8.636769749784967e-05, + "loss": 0.5028, + "step": 15541 + }, + { + "epoch": 0.54, + "learning_rate": 8.635679877056752e-05, + "loss": 0.4371, + "step": 15542 + }, + { + "epoch": 0.54, + "learning_rate": 8.634590020841356e-05, + "loss": 0.578, + "step": 15543 + }, + { + "epoch": 0.54, + "learning_rate": 8.633500181151974e-05, + "loss": 0.5183, + "step": 15544 + }, + { + "epoch": 0.54, + "learning_rate": 8.632410358001794e-05, + "loss": 0.4969, + "step": 15545 + }, + { + "epoch": 0.54, + "learning_rate": 8.63132055140401e-05, + "loss": 0.4981, + "step": 15546 + }, + { + "epoch": 0.54, + "learning_rate": 8.630230761371808e-05, + "loss": 0.4894, + "step": 15547 + }, + { + "epoch": 0.54, + "learning_rate": 8.629140987918378e-05, + "loss": 0.5275, + "step": 15548 + }, + { + "epoch": 0.54, + "learning_rate": 8.628051231056915e-05, + "loss": 0.5434, + "step": 15549 + }, + { + "epoch": 0.54, + "learning_rate": 8.626961490800602e-05, + "loss": 0.53, + "step": 15550 + }, + { + "epoch": 0.54, + "learning_rate": 8.625871767162634e-05, + "loss": 0.5185, + "step": 15551 + }, + { + "epoch": 0.54, + "learning_rate": 8.6247820601562e-05, + "loss": 0.5453, + "step": 15552 + }, + { + "epoch": 0.54, + "learning_rate": 8.623692369794484e-05, + "loss": 0.5718, + "step": 15553 + }, + { + "epoch": 0.54, + "learning_rate": 8.62260269609068e-05, + "loss": 0.6139, + "step": 15554 + }, + { + "epoch": 0.54, + "learning_rate": 8.621513039057975e-05, + "loss": 0.518, + "step": 15555 + }, + { + "epoch": 0.54, + "learning_rate": 8.620423398709554e-05, + "loss": 0.4896, + "step": 15556 + }, + { + "epoch": 0.54, + "learning_rate": 8.619333775058613e-05, + "loss": 0.5271, + "step": 15557 + }, + { + "epoch": 0.54, + "learning_rate": 8.618244168118332e-05, + "loss": 0.503, + "step": 15558 + }, + { + "epoch": 0.54, + "learning_rate": 8.617154577901906e-05, + "loss": 0.485, + "step": 15559 + }, + { + "epoch": 0.54, + "learning_rate": 8.616065004422518e-05, + "loss": 0.5042, + "step": 15560 + }, + { + "epoch": 0.54, + "learning_rate": 8.614975447693357e-05, + "loss": 0.5731, + "step": 15561 + }, + { + "epoch": 0.54, + "learning_rate": 8.613885907727611e-05, + "loss": 0.5713, + "step": 15562 + }, + { + "epoch": 0.54, + "learning_rate": 8.612796384538462e-05, + "loss": 0.5331, + "step": 15563 + }, + { + "epoch": 0.54, + "learning_rate": 8.611706878139104e-05, + "loss": 0.4693, + "step": 15564 + }, + { + "epoch": 0.54, + "learning_rate": 8.610617388542721e-05, + "loss": 0.5745, + "step": 15565 + }, + { + "epoch": 0.54, + "learning_rate": 8.609527915762496e-05, + "loss": 0.6089, + "step": 15566 + }, + { + "epoch": 0.54, + "learning_rate": 8.608438459811622e-05, + "loss": 0.5104, + "step": 15567 + }, + { + "epoch": 0.54, + "learning_rate": 8.607349020703278e-05, + "loss": 0.5611, + "step": 15568 + }, + { + "epoch": 0.54, + "learning_rate": 8.606259598450657e-05, + "loss": 0.5041, + "step": 15569 + }, + { + "epoch": 0.54, + "learning_rate": 8.60517019306694e-05, + "loss": 0.5036, + "step": 15570 + }, + { + "epoch": 0.54, + "learning_rate": 8.60408080456531e-05, + "loss": 0.6352, + "step": 15571 + }, + { + "epoch": 0.54, + "learning_rate": 8.602991432958958e-05, + "loss": 0.4454, + "step": 15572 + }, + { + "epoch": 0.54, + "learning_rate": 8.601902078261068e-05, + "loss": 0.6043, + "step": 15573 + }, + { + "epoch": 0.54, + "learning_rate": 8.600812740484818e-05, + "loss": 0.5716, + "step": 15574 + }, + { + "epoch": 0.55, + "learning_rate": 8.599723419643403e-05, + "loss": 0.518, + "step": 15575 + }, + { + "epoch": 0.55, + "learning_rate": 8.59863411575e-05, + "loss": 0.5658, + "step": 15576 + }, + { + "epoch": 0.55, + "learning_rate": 8.597544828817796e-05, + "loss": 0.5837, + "step": 15577 + }, + { + "epoch": 0.55, + "learning_rate": 8.596455558859978e-05, + "loss": 0.5709, + "step": 15578 + }, + { + "epoch": 0.55, + "learning_rate": 8.595366305889725e-05, + "loss": 0.6029, + "step": 15579 + }, + { + "epoch": 0.55, + "learning_rate": 8.594277069920218e-05, + "loss": 0.4866, + "step": 15580 + }, + { + "epoch": 0.55, + "learning_rate": 8.593187850964647e-05, + "loss": 0.5234, + "step": 15581 + }, + { + "epoch": 0.55, + "learning_rate": 8.592098649036194e-05, + "loss": 0.4937, + "step": 15582 + }, + { + "epoch": 0.55, + "learning_rate": 8.591009464148037e-05, + "loss": 0.5116, + "step": 15583 + }, + { + "epoch": 0.55, + "learning_rate": 8.589920296313366e-05, + "loss": 0.517, + "step": 15584 + }, + { + "epoch": 0.55, + "learning_rate": 8.588831145545355e-05, + "loss": 0.5405, + "step": 15585 + }, + { + "epoch": 0.55, + "learning_rate": 8.587742011857195e-05, + "loss": 0.5662, + "step": 15586 + }, + { + "epoch": 0.55, + "learning_rate": 8.586652895262064e-05, + "loss": 0.5511, + "step": 15587 + }, + { + "epoch": 0.55, + "learning_rate": 8.585563795773143e-05, + "loss": 0.5555, + "step": 15588 + }, + { + "epoch": 0.55, + "learning_rate": 8.584474713403616e-05, + "loss": 0.3928, + "step": 15589 + }, + { + "epoch": 0.55, + "learning_rate": 8.583385648166664e-05, + "loss": 0.5427, + "step": 15590 + }, + { + "epoch": 0.55, + "learning_rate": 8.582296600075465e-05, + "loss": 0.5473, + "step": 15591 + }, + { + "epoch": 0.55, + "learning_rate": 8.581207569143206e-05, + "loss": 0.5914, + "step": 15592 + }, + { + "epoch": 0.55, + "learning_rate": 8.580118555383063e-05, + "loss": 0.4571, + "step": 15593 + }, + { + "epoch": 0.55, + "learning_rate": 8.57902955880822e-05, + "loss": 0.4761, + "step": 15594 + }, + { + "epoch": 0.55, + "learning_rate": 8.577940579431856e-05, + "loss": 0.6003, + "step": 15595 + }, + { + "epoch": 0.55, + "learning_rate": 8.57685161726715e-05, + "loss": 0.4654, + "step": 15596 + }, + { + "epoch": 0.55, + "learning_rate": 8.575762672327286e-05, + "loss": 0.5487, + "step": 15597 + }, + { + "epoch": 0.55, + "learning_rate": 8.574673744625437e-05, + "loss": 0.5056, + "step": 15598 + }, + { + "epoch": 0.55, + "learning_rate": 8.573584834174792e-05, + "loss": 0.6108, + "step": 15599 + }, + { + "epoch": 0.55, + "learning_rate": 8.572495940988523e-05, + "loss": 0.4209, + "step": 15600 + }, + { + "epoch": 0.55, + "eval_loss": 0.5225046277046204, + "eval_runtime": 848.7105, + "eval_samples_per_second": 28.349, + "eval_steps_per_second": 14.174, + "step": 15600 + }, + { + "epoch": 0.55, + "learning_rate": 8.57140706507981e-05, + "loss": 0.5025, + "step": 15601 + }, + { + "epoch": 0.55, + "learning_rate": 8.570318206461836e-05, + "loss": 0.5855, + "step": 15602 + }, + { + "epoch": 0.55, + "learning_rate": 8.569229365147776e-05, + "loss": 0.5214, + "step": 15603 + }, + { + "epoch": 0.55, + "learning_rate": 8.568140541150812e-05, + "loss": 0.4443, + "step": 15604 + }, + { + "epoch": 0.55, + "learning_rate": 8.56705173448412e-05, + "loss": 0.532, + "step": 15605 + }, + { + "epoch": 0.55, + "learning_rate": 8.565962945160877e-05, + "loss": 0.549, + "step": 15606 + }, + { + "epoch": 0.55, + "learning_rate": 8.564874173194263e-05, + "loss": 0.5546, + "step": 15607 + }, + { + "epoch": 0.55, + "learning_rate": 8.563785418597458e-05, + "loss": 0.4596, + "step": 15608 + }, + { + "epoch": 0.55, + "learning_rate": 8.562696681383633e-05, + "loss": 0.5351, + "step": 15609 + }, + { + "epoch": 0.55, + "learning_rate": 8.561607961565973e-05, + "loss": 0.4731, + "step": 15610 + }, + { + "epoch": 0.55, + "learning_rate": 8.56051925915765e-05, + "loss": 0.4791, + "step": 15611 + }, + { + "epoch": 0.55, + "learning_rate": 8.559430574171842e-05, + "loss": 0.524, + "step": 15612 + }, + { + "epoch": 0.55, + "learning_rate": 8.558341906621726e-05, + "loss": 0.509, + "step": 15613 + }, + { + "epoch": 0.55, + "learning_rate": 8.557253256520479e-05, + "loss": 0.6594, + "step": 15614 + }, + { + "epoch": 0.55, + "learning_rate": 8.556164623881278e-05, + "loss": 0.4516, + "step": 15615 + }, + { + "epoch": 0.55, + "learning_rate": 8.555076008717295e-05, + "loss": 0.6282, + "step": 15616 + }, + { + "epoch": 0.55, + "learning_rate": 8.55398741104171e-05, + "loss": 0.6831, + "step": 15617 + }, + { + "epoch": 0.55, + "learning_rate": 8.5528988308677e-05, + "loss": 0.5275, + "step": 15618 + }, + { + "epoch": 0.55, + "learning_rate": 8.551810268208436e-05, + "loss": 0.6217, + "step": 15619 + }, + { + "epoch": 0.55, + "learning_rate": 8.550721723077095e-05, + "loss": 0.6552, + "step": 15620 + }, + { + "epoch": 0.55, + "learning_rate": 8.549633195486855e-05, + "loss": 0.5767, + "step": 15621 + }, + { + "epoch": 0.55, + "learning_rate": 8.548544685450884e-05, + "loss": 0.4618, + "step": 15622 + }, + { + "epoch": 0.55, + "learning_rate": 8.547456192982364e-05, + "loss": 0.5557, + "step": 15623 + }, + { + "epoch": 0.55, + "learning_rate": 8.546367718094462e-05, + "loss": 0.4147, + "step": 15624 + }, + { + "epoch": 0.55, + "learning_rate": 8.54527926080036e-05, + "loss": 0.5455, + "step": 15625 + }, + { + "epoch": 0.55, + "learning_rate": 8.544190821113227e-05, + "loss": 0.5437, + "step": 15626 + }, + { + "epoch": 0.55, + "learning_rate": 8.543102399046237e-05, + "loss": 0.4666, + "step": 15627 + }, + { + "epoch": 0.55, + "learning_rate": 8.542013994612567e-05, + "loss": 0.6055, + "step": 15628 + }, + { + "epoch": 0.55, + "learning_rate": 8.540925607825384e-05, + "loss": 0.5071, + "step": 15629 + }, + { + "epoch": 0.55, + "learning_rate": 8.539837238697867e-05, + "loss": 0.5246, + "step": 15630 + }, + { + "epoch": 0.55, + "learning_rate": 8.538748887243189e-05, + "loss": 0.497, + "step": 15631 + }, + { + "epoch": 0.55, + "learning_rate": 8.537660553474517e-05, + "loss": 0.548, + "step": 15632 + }, + { + "epoch": 0.55, + "learning_rate": 8.53657223740503e-05, + "loss": 0.6261, + "step": 15633 + }, + { + "epoch": 0.55, + "learning_rate": 8.535483939047893e-05, + "loss": 0.4937, + "step": 15634 + }, + { + "epoch": 0.55, + "learning_rate": 8.534395658416286e-05, + "loss": 0.5815, + "step": 15635 + }, + { + "epoch": 0.55, + "learning_rate": 8.533307395523376e-05, + "loss": 0.4875, + "step": 15636 + }, + { + "epoch": 0.55, + "learning_rate": 8.532219150382335e-05, + "loss": 0.4865, + "step": 15637 + }, + { + "epoch": 0.55, + "learning_rate": 8.531130923006335e-05, + "loss": 0.5552, + "step": 15638 + }, + { + "epoch": 0.55, + "learning_rate": 8.530042713408549e-05, + "loss": 0.5489, + "step": 15639 + }, + { + "epoch": 0.55, + "learning_rate": 8.528954521602144e-05, + "loss": 0.4988, + "step": 15640 + }, + { + "epoch": 0.55, + "learning_rate": 8.527866347600294e-05, + "loss": 0.4212, + "step": 15641 + }, + { + "epoch": 0.55, + "learning_rate": 8.526778191416167e-05, + "loss": 0.5154, + "step": 15642 + }, + { + "epoch": 0.55, + "learning_rate": 8.525690053062937e-05, + "loss": 0.5101, + "step": 15643 + }, + { + "epoch": 0.55, + "learning_rate": 8.524601932553771e-05, + "loss": 0.5004, + "step": 15644 + }, + { + "epoch": 0.55, + "learning_rate": 8.523513829901839e-05, + "loss": 0.5058, + "step": 15645 + }, + { + "epoch": 0.55, + "learning_rate": 8.522425745120312e-05, + "loss": 0.6161, + "step": 15646 + }, + { + "epoch": 0.55, + "learning_rate": 8.521337678222358e-05, + "loss": 0.5691, + "step": 15647 + }, + { + "epoch": 0.55, + "learning_rate": 8.52024962922115e-05, + "loss": 0.5631, + "step": 15648 + }, + { + "epoch": 0.55, + "learning_rate": 8.519161598129854e-05, + "loss": 0.448, + "step": 15649 + }, + { + "epoch": 0.55, + "learning_rate": 8.518073584961636e-05, + "loss": 0.4674, + "step": 15650 + }, + { + "epoch": 0.55, + "learning_rate": 8.516985589729669e-05, + "loss": 0.5622, + "step": 15651 + }, + { + "epoch": 0.55, + "learning_rate": 8.51589761244712e-05, + "loss": 0.5574, + "step": 15652 + }, + { + "epoch": 0.55, + "learning_rate": 8.514809653127156e-05, + "loss": 0.4409, + "step": 15653 + }, + { + "epoch": 0.55, + "learning_rate": 8.513721711782949e-05, + "loss": 0.5859, + "step": 15654 + }, + { + "epoch": 0.55, + "learning_rate": 8.51263378842766e-05, + "loss": 0.5232, + "step": 15655 + }, + { + "epoch": 0.55, + "learning_rate": 8.511545883074463e-05, + "loss": 0.5384, + "step": 15656 + }, + { + "epoch": 0.55, + "learning_rate": 8.510457995736522e-05, + "loss": 0.5305, + "step": 15657 + }, + { + "epoch": 0.55, + "learning_rate": 8.509370126427002e-05, + "loss": 0.4121, + "step": 15658 + }, + { + "epoch": 0.55, + "learning_rate": 8.508282275159076e-05, + "loss": 0.5765, + "step": 15659 + }, + { + "epoch": 0.55, + "learning_rate": 8.507194441945903e-05, + "loss": 0.6302, + "step": 15660 + }, + { + "epoch": 0.55, + "learning_rate": 8.506106626800656e-05, + "loss": 0.5697, + "step": 15661 + }, + { + "epoch": 0.55, + "learning_rate": 8.5050188297365e-05, + "loss": 0.6174, + "step": 15662 + }, + { + "epoch": 0.55, + "learning_rate": 8.503931050766598e-05, + "loss": 0.5581, + "step": 15663 + }, + { + "epoch": 0.55, + "learning_rate": 8.502843289904117e-05, + "loss": 0.5623, + "step": 15664 + }, + { + "epoch": 0.55, + "learning_rate": 8.501755547162222e-05, + "loss": 0.5142, + "step": 15665 + }, + { + "epoch": 0.55, + "learning_rate": 8.500667822554081e-05, + "loss": 0.502, + "step": 15666 + }, + { + "epoch": 0.55, + "learning_rate": 8.499580116092858e-05, + "loss": 0.5002, + "step": 15667 + }, + { + "epoch": 0.55, + "learning_rate": 8.498492427791714e-05, + "loss": 0.4297, + "step": 15668 + }, + { + "epoch": 0.55, + "learning_rate": 8.49740475766382e-05, + "loss": 0.6158, + "step": 15669 + }, + { + "epoch": 0.55, + "learning_rate": 8.496317105722336e-05, + "loss": 0.5707, + "step": 15670 + }, + { + "epoch": 0.55, + "learning_rate": 8.495229471980428e-05, + "loss": 0.5401, + "step": 15671 + }, + { + "epoch": 0.55, + "learning_rate": 8.494141856451258e-05, + "loss": 0.5008, + "step": 15672 + }, + { + "epoch": 0.55, + "learning_rate": 8.493054259147993e-05, + "loss": 0.5133, + "step": 15673 + }, + { + "epoch": 0.55, + "learning_rate": 8.491966680083794e-05, + "loss": 0.5308, + "step": 15674 + }, + { + "epoch": 0.55, + "learning_rate": 8.490879119271826e-05, + "loss": 0.5334, + "step": 15675 + }, + { + "epoch": 0.55, + "learning_rate": 8.489791576725249e-05, + "loss": 0.6245, + "step": 15676 + }, + { + "epoch": 0.55, + "learning_rate": 8.488704052457231e-05, + "loss": 0.5653, + "step": 15677 + }, + { + "epoch": 0.55, + "learning_rate": 8.487616546480927e-05, + "loss": 0.4797, + "step": 15678 + }, + { + "epoch": 0.55, + "learning_rate": 8.48652905880951e-05, + "loss": 0.6053, + "step": 15679 + }, + { + "epoch": 0.55, + "learning_rate": 8.485441589456134e-05, + "loss": 0.5491, + "step": 15680 + }, + { + "epoch": 0.55, + "learning_rate": 8.484354138433964e-05, + "loss": 0.4225, + "step": 15681 + }, + { + "epoch": 0.55, + "learning_rate": 8.48326670575616e-05, + "loss": 0.5039, + "step": 15682 + }, + { + "epoch": 0.55, + "learning_rate": 8.482179291435884e-05, + "loss": 0.5213, + "step": 15683 + }, + { + "epoch": 0.55, + "learning_rate": 8.481091895486301e-05, + "loss": 0.4608, + "step": 15684 + }, + { + "epoch": 0.55, + "learning_rate": 8.480004517920569e-05, + "loss": 0.6023, + "step": 15685 + }, + { + "epoch": 0.55, + "learning_rate": 8.478917158751846e-05, + "loss": 0.5206, + "step": 15686 + }, + { + "epoch": 0.55, + "learning_rate": 8.4778298179933e-05, + "loss": 0.4065, + "step": 15687 + }, + { + "epoch": 0.55, + "learning_rate": 8.476742495658085e-05, + "loss": 0.5058, + "step": 15688 + }, + { + "epoch": 0.55, + "learning_rate": 8.475655191759363e-05, + "loss": 0.602, + "step": 15689 + }, + { + "epoch": 0.55, + "learning_rate": 8.474567906310295e-05, + "loss": 0.4239, + "step": 15690 + }, + { + "epoch": 0.55, + "learning_rate": 8.473480639324041e-05, + "loss": 0.5342, + "step": 15691 + }, + { + "epoch": 0.55, + "learning_rate": 8.47239339081376e-05, + "loss": 0.5056, + "step": 15692 + }, + { + "epoch": 0.55, + "learning_rate": 8.47130616079261e-05, + "loss": 0.5333, + "step": 15693 + }, + { + "epoch": 0.55, + "learning_rate": 8.470218949273752e-05, + "loss": 0.4739, + "step": 15694 + }, + { + "epoch": 0.55, + "learning_rate": 8.469131756270345e-05, + "loss": 0.4336, + "step": 15695 + }, + { + "epoch": 0.55, + "learning_rate": 8.468044581795544e-05, + "loss": 0.5875, + "step": 15696 + }, + { + "epoch": 0.55, + "learning_rate": 8.466957425862513e-05, + "loss": 0.5444, + "step": 15697 + }, + { + "epoch": 0.55, + "learning_rate": 8.465870288484407e-05, + "loss": 0.6394, + "step": 15698 + }, + { + "epoch": 0.55, + "learning_rate": 8.464783169674383e-05, + "loss": 0.5103, + "step": 15699 + }, + { + "epoch": 0.55, + "learning_rate": 8.463696069445601e-05, + "loss": 0.5699, + "step": 15700 + }, + { + "epoch": 0.55, + "learning_rate": 8.462608987811217e-05, + "loss": 0.5327, + "step": 15701 + }, + { + "epoch": 0.55, + "learning_rate": 8.461521924784391e-05, + "loss": 0.4887, + "step": 15702 + }, + { + "epoch": 0.55, + "learning_rate": 8.460434880378279e-05, + "loss": 0.648, + "step": 15703 + }, + { + "epoch": 0.55, + "learning_rate": 8.459347854606032e-05, + "loss": 0.5607, + "step": 15704 + }, + { + "epoch": 0.55, + "learning_rate": 8.458260847480816e-05, + "loss": 0.5573, + "step": 15705 + }, + { + "epoch": 0.55, + "learning_rate": 8.457173859015784e-05, + "loss": 0.502, + "step": 15706 + }, + { + "epoch": 0.55, + "learning_rate": 8.456086889224088e-05, + "loss": 0.5076, + "step": 15707 + }, + { + "epoch": 0.55, + "learning_rate": 8.454999938118888e-05, + "loss": 0.5823, + "step": 15708 + }, + { + "epoch": 0.55, + "learning_rate": 8.453913005713338e-05, + "loss": 0.5606, + "step": 15709 + }, + { + "epoch": 0.55, + "learning_rate": 8.452826092020597e-05, + "loss": 0.5049, + "step": 15710 + }, + { + "epoch": 0.55, + "learning_rate": 8.451739197053817e-05, + "loss": 0.4814, + "step": 15711 + }, + { + "epoch": 0.55, + "learning_rate": 8.450652320826151e-05, + "loss": 0.6657, + "step": 15712 + }, + { + "epoch": 0.55, + "learning_rate": 8.449565463350762e-05, + "loss": 0.4943, + "step": 15713 + }, + { + "epoch": 0.55, + "learning_rate": 8.448478624640797e-05, + "loss": 0.4716, + "step": 15714 + }, + { + "epoch": 0.55, + "learning_rate": 8.447391804709413e-05, + "loss": 0.4936, + "step": 15715 + }, + { + "epoch": 0.55, + "learning_rate": 8.446305003569761e-05, + "loss": 0.4706, + "step": 15716 + }, + { + "epoch": 0.55, + "learning_rate": 8.445218221235e-05, + "loss": 0.5679, + "step": 15717 + }, + { + "epoch": 0.55, + "learning_rate": 8.444131457718278e-05, + "loss": 0.5384, + "step": 15718 + }, + { + "epoch": 0.55, + "learning_rate": 8.443044713032754e-05, + "loss": 0.5734, + "step": 15719 + }, + { + "epoch": 0.55, + "learning_rate": 8.44195798719158e-05, + "loss": 0.5312, + "step": 15720 + }, + { + "epoch": 0.55, + "learning_rate": 8.440871280207906e-05, + "loss": 0.5195, + "step": 15721 + }, + { + "epoch": 0.55, + "learning_rate": 8.439784592094889e-05, + "loss": 0.5115, + "step": 15722 + }, + { + "epoch": 0.55, + "learning_rate": 8.43869792286568e-05, + "loss": 0.4901, + "step": 15723 + }, + { + "epoch": 0.55, + "learning_rate": 8.437611272533425e-05, + "loss": 0.5294, + "step": 15724 + }, + { + "epoch": 0.55, + "learning_rate": 8.436524641111288e-05, + "loss": 0.6447, + "step": 15725 + }, + { + "epoch": 0.55, + "learning_rate": 8.43543802861241e-05, + "loss": 0.5236, + "step": 15726 + }, + { + "epoch": 0.55, + "learning_rate": 8.434351435049949e-05, + "loss": 0.4603, + "step": 15727 + }, + { + "epoch": 0.55, + "learning_rate": 8.433264860437056e-05, + "loss": 0.5718, + "step": 15728 + }, + { + "epoch": 0.55, + "learning_rate": 8.43217830478688e-05, + "loss": 0.4696, + "step": 15729 + }, + { + "epoch": 0.55, + "learning_rate": 8.431091768112573e-05, + "loss": 0.4832, + "step": 15730 + }, + { + "epoch": 0.55, + "learning_rate": 8.430005250427284e-05, + "loss": 0.4837, + "step": 15731 + }, + { + "epoch": 0.55, + "learning_rate": 8.428918751744166e-05, + "loss": 0.5957, + "step": 15732 + }, + { + "epoch": 0.55, + "learning_rate": 8.427832272076371e-05, + "loss": 0.5472, + "step": 15733 + }, + { + "epoch": 0.55, + "learning_rate": 8.42674581143704e-05, + "loss": 0.5178, + "step": 15734 + }, + { + "epoch": 0.55, + "learning_rate": 8.425659369839333e-05, + "loss": 0.6207, + "step": 15735 + }, + { + "epoch": 0.55, + "learning_rate": 8.424572947296396e-05, + "loss": 0.6004, + "step": 15736 + }, + { + "epoch": 0.55, + "learning_rate": 8.423486543821378e-05, + "loss": 0.4744, + "step": 15737 + }, + { + "epoch": 0.55, + "learning_rate": 8.422400159427427e-05, + "loss": 0.5057, + "step": 15738 + }, + { + "epoch": 0.55, + "learning_rate": 8.421313794127692e-05, + "loss": 0.5058, + "step": 15739 + }, + { + "epoch": 0.55, + "learning_rate": 8.420227447935323e-05, + "loss": 0.568, + "step": 15740 + }, + { + "epoch": 0.55, + "learning_rate": 8.419141120863471e-05, + "loss": 0.5826, + "step": 15741 + }, + { + "epoch": 0.55, + "learning_rate": 8.418054812925277e-05, + "loss": 0.545, + "step": 15742 + }, + { + "epoch": 0.55, + "learning_rate": 8.416968524133896e-05, + "loss": 0.5751, + "step": 15743 + }, + { + "epoch": 0.55, + "learning_rate": 8.415882254502469e-05, + "loss": 0.5599, + "step": 15744 + }, + { + "epoch": 0.55, + "learning_rate": 8.414796004044152e-05, + "loss": 0.5187, + "step": 15745 + }, + { + "epoch": 0.55, + "learning_rate": 8.413709772772087e-05, + "loss": 0.4717, + "step": 15746 + }, + { + "epoch": 0.55, + "learning_rate": 8.412623560699417e-05, + "loss": 0.5727, + "step": 15747 + }, + { + "epoch": 0.55, + "learning_rate": 8.411537367839297e-05, + "loss": 0.5412, + "step": 15748 + }, + { + "epoch": 0.55, + "learning_rate": 8.41045119420487e-05, + "loss": 0.6433, + "step": 15749 + }, + { + "epoch": 0.55, + "learning_rate": 8.409365039809281e-05, + "loss": 0.5199, + "step": 15750 + }, + { + "epoch": 0.55, + "learning_rate": 8.408278904665679e-05, + "loss": 0.5293, + "step": 15751 + }, + { + "epoch": 0.55, + "learning_rate": 8.407192788787206e-05, + "loss": 0.5798, + "step": 15752 + }, + { + "epoch": 0.55, + "learning_rate": 8.406106692187011e-05, + "loss": 0.5655, + "step": 15753 + }, + { + "epoch": 0.55, + "learning_rate": 8.405020614878237e-05, + "loss": 0.4809, + "step": 15754 + }, + { + "epoch": 0.55, + "learning_rate": 8.403934556874033e-05, + "loss": 0.5216, + "step": 15755 + }, + { + "epoch": 0.55, + "learning_rate": 8.402848518187539e-05, + "loss": 0.5848, + "step": 15756 + }, + { + "epoch": 0.55, + "learning_rate": 8.401762498831902e-05, + "loss": 0.475, + "step": 15757 + }, + { + "epoch": 0.55, + "learning_rate": 8.400676498820268e-05, + "loss": 0.5219, + "step": 15758 + }, + { + "epoch": 0.55, + "learning_rate": 8.39959051816578e-05, + "loss": 0.4977, + "step": 15759 + }, + { + "epoch": 0.55, + "learning_rate": 8.398504556881577e-05, + "loss": 0.474, + "step": 15760 + }, + { + "epoch": 0.55, + "learning_rate": 8.397418614980813e-05, + "loss": 0.498, + "step": 15761 + }, + { + "epoch": 0.55, + "learning_rate": 8.396332692476621e-05, + "loss": 0.4753, + "step": 15762 + }, + { + "epoch": 0.55, + "learning_rate": 8.395246789382155e-05, + "loss": 0.5176, + "step": 15763 + }, + { + "epoch": 0.55, + "learning_rate": 8.394160905710549e-05, + "loss": 0.4831, + "step": 15764 + }, + { + "epoch": 0.55, + "learning_rate": 8.393075041474947e-05, + "loss": 0.5226, + "step": 15765 + }, + { + "epoch": 0.55, + "learning_rate": 8.391989196688496e-05, + "loss": 0.5415, + "step": 15766 + }, + { + "epoch": 0.55, + "learning_rate": 8.390903371364334e-05, + "loss": 0.5198, + "step": 15767 + }, + { + "epoch": 0.55, + "learning_rate": 8.389817565515607e-05, + "loss": 0.6164, + "step": 15768 + }, + { + "epoch": 0.55, + "learning_rate": 8.388731779155456e-05, + "loss": 0.5339, + "step": 15769 + }, + { + "epoch": 0.55, + "learning_rate": 8.38764601229702e-05, + "loss": 0.4774, + "step": 15770 + }, + { + "epoch": 0.55, + "learning_rate": 8.386560264953441e-05, + "loss": 0.4843, + "step": 15771 + }, + { + "epoch": 0.55, + "learning_rate": 8.385474537137863e-05, + "loss": 0.5637, + "step": 15772 + }, + { + "epoch": 0.55, + "learning_rate": 8.384388828863423e-05, + "loss": 0.5227, + "step": 15773 + }, + { + "epoch": 0.55, + "learning_rate": 8.383303140143266e-05, + "loss": 0.5418, + "step": 15774 + }, + { + "epoch": 0.55, + "learning_rate": 8.382217470990527e-05, + "loss": 0.5395, + "step": 15775 + }, + { + "epoch": 0.55, + "learning_rate": 8.381131821418352e-05, + "loss": 0.5573, + "step": 15776 + }, + { + "epoch": 0.55, + "learning_rate": 8.380046191439878e-05, + "loss": 0.565, + "step": 15777 + }, + { + "epoch": 0.55, + "learning_rate": 8.378960581068244e-05, + "loss": 0.496, + "step": 15778 + }, + { + "epoch": 0.55, + "learning_rate": 8.377874990316593e-05, + "loss": 0.4656, + "step": 15779 + }, + { + "epoch": 0.55, + "learning_rate": 8.376789419198059e-05, + "loss": 0.4895, + "step": 15780 + }, + { + "epoch": 0.55, + "learning_rate": 8.375703867725787e-05, + "loss": 0.5043, + "step": 15781 + }, + { + "epoch": 0.55, + "learning_rate": 8.374618335912912e-05, + "loss": 0.618, + "step": 15782 + }, + { + "epoch": 0.55, + "learning_rate": 8.373532823772569e-05, + "loss": 0.5162, + "step": 15783 + }, + { + "epoch": 0.55, + "learning_rate": 8.372447331317906e-05, + "loss": 0.4878, + "step": 15784 + }, + { + "epoch": 0.55, + "learning_rate": 8.371361858562053e-05, + "loss": 0.5753, + "step": 15785 + }, + { + "epoch": 0.55, + "learning_rate": 8.370276405518152e-05, + "loss": 0.528, + "step": 15786 + }, + { + "epoch": 0.55, + "learning_rate": 8.369190972199338e-05, + "loss": 0.6031, + "step": 15787 + }, + { + "epoch": 0.55, + "learning_rate": 8.368105558618748e-05, + "loss": 0.5502, + "step": 15788 + }, + { + "epoch": 0.55, + "learning_rate": 8.367020164789523e-05, + "loss": 0.582, + "step": 15789 + }, + { + "epoch": 0.55, + "learning_rate": 8.365934790724798e-05, + "loss": 0.5056, + "step": 15790 + }, + { + "epoch": 0.55, + "learning_rate": 8.364849436437707e-05, + "loss": 0.5495, + "step": 15791 + }, + { + "epoch": 0.55, + "learning_rate": 8.36376410194139e-05, + "loss": 0.5725, + "step": 15792 + }, + { + "epoch": 0.55, + "learning_rate": 8.362678787248979e-05, + "loss": 0.5893, + "step": 15793 + }, + { + "epoch": 0.55, + "learning_rate": 8.361593492373614e-05, + "loss": 0.5579, + "step": 15794 + }, + { + "epoch": 0.55, + "learning_rate": 8.360508217328431e-05, + "loss": 0.5248, + "step": 15795 + }, + { + "epoch": 0.55, + "learning_rate": 8.359422962126562e-05, + "loss": 0.6301, + "step": 15796 + }, + { + "epoch": 0.55, + "learning_rate": 8.358337726781145e-05, + "loss": 0.5023, + "step": 15797 + }, + { + "epoch": 0.55, + "learning_rate": 8.357252511305313e-05, + "loss": 0.5618, + "step": 15798 + }, + { + "epoch": 0.55, + "learning_rate": 8.356167315712203e-05, + "loss": 0.588, + "step": 15799 + }, + { + "epoch": 0.55, + "learning_rate": 8.355082140014947e-05, + "loss": 0.4759, + "step": 15800 + }, + { + "epoch": 0.55, + "eval_loss": 0.5172915458679199, + "eval_runtime": 851.8143, + "eval_samples_per_second": 28.246, + "eval_steps_per_second": 14.123, + "step": 15800 + }, + { + "epoch": 0.55, + "learning_rate": 8.35399698422668e-05, + "loss": 0.4652, + "step": 15801 + }, + { + "epoch": 0.55, + "learning_rate": 8.352911848360538e-05, + "loss": 0.5096, + "step": 15802 + }, + { + "epoch": 0.55, + "learning_rate": 8.35182673242965e-05, + "loss": 0.5054, + "step": 15803 + }, + { + "epoch": 0.55, + "learning_rate": 8.350741636447154e-05, + "loss": 0.5111, + "step": 15804 + }, + { + "epoch": 0.55, + "learning_rate": 8.349656560426185e-05, + "loss": 0.4939, + "step": 15805 + }, + { + "epoch": 0.55, + "learning_rate": 8.348571504379868e-05, + "loss": 0.5498, + "step": 15806 + }, + { + "epoch": 0.55, + "learning_rate": 8.347486468321345e-05, + "loss": 0.5332, + "step": 15807 + }, + { + "epoch": 0.55, + "learning_rate": 8.346401452263743e-05, + "loss": 0.5089, + "step": 15808 + }, + { + "epoch": 0.55, + "learning_rate": 8.345316456220193e-05, + "loss": 0.521, + "step": 15809 + }, + { + "epoch": 0.55, + "learning_rate": 8.344231480203834e-05, + "loss": 0.521, + "step": 15810 + }, + { + "epoch": 0.55, + "learning_rate": 8.34314652422779e-05, + "loss": 0.5629, + "step": 15811 + }, + { + "epoch": 0.55, + "learning_rate": 8.342061588305198e-05, + "loss": 0.5064, + "step": 15812 + }, + { + "epoch": 0.55, + "learning_rate": 8.340976672449188e-05, + "loss": 0.5273, + "step": 15813 + }, + { + "epoch": 0.55, + "learning_rate": 8.339891776672888e-05, + "loss": 0.5314, + "step": 15814 + }, + { + "epoch": 0.55, + "learning_rate": 8.338806900989434e-05, + "loss": 0.5873, + "step": 15815 + }, + { + "epoch": 0.55, + "learning_rate": 8.33772204541195e-05, + "loss": 0.5627, + "step": 15816 + }, + { + "epoch": 0.55, + "learning_rate": 8.336637209953576e-05, + "loss": 0.4894, + "step": 15817 + }, + { + "epoch": 0.55, + "learning_rate": 8.335552394627432e-05, + "loss": 0.4688, + "step": 15818 + }, + { + "epoch": 0.55, + "learning_rate": 8.334467599446653e-05, + "loss": 0.4733, + "step": 15819 + }, + { + "epoch": 0.55, + "learning_rate": 8.333382824424371e-05, + "loss": 0.5244, + "step": 15820 + }, + { + "epoch": 0.55, + "learning_rate": 8.33229806957371e-05, + "loss": 0.4938, + "step": 15821 + }, + { + "epoch": 0.55, + "learning_rate": 8.331213334907801e-05, + "loss": 0.4849, + "step": 15822 + }, + { + "epoch": 0.55, + "learning_rate": 8.330128620439777e-05, + "loss": 0.5379, + "step": 15823 + }, + { + "epoch": 0.55, + "learning_rate": 8.329043926182758e-05, + "loss": 0.4461, + "step": 15824 + }, + { + "epoch": 0.55, + "learning_rate": 8.327959252149881e-05, + "loss": 0.5589, + "step": 15825 + }, + { + "epoch": 0.55, + "learning_rate": 8.326874598354271e-05, + "loss": 0.4444, + "step": 15826 + }, + { + "epoch": 0.55, + "learning_rate": 8.325789964809053e-05, + "loss": 0.561, + "step": 15827 + }, + { + "epoch": 0.55, + "learning_rate": 8.32470535152736e-05, + "loss": 0.5915, + "step": 15828 + }, + { + "epoch": 0.55, + "learning_rate": 8.323620758522314e-05, + "loss": 0.5517, + "step": 15829 + }, + { + "epoch": 0.55, + "learning_rate": 8.322536185807049e-05, + "loss": 0.5458, + "step": 15830 + }, + { + "epoch": 0.55, + "learning_rate": 8.321451633394685e-05, + "loss": 0.5829, + "step": 15831 + }, + { + "epoch": 0.55, + "learning_rate": 8.320367101298351e-05, + "loss": 0.5248, + "step": 15832 + }, + { + "epoch": 0.55, + "learning_rate": 8.319282589531176e-05, + "loss": 0.5288, + "step": 15833 + }, + { + "epoch": 0.55, + "learning_rate": 8.318198098106282e-05, + "loss": 0.5219, + "step": 15834 + }, + { + "epoch": 0.55, + "learning_rate": 8.317113627036799e-05, + "loss": 0.552, + "step": 15835 + }, + { + "epoch": 0.55, + "learning_rate": 8.31602917633585e-05, + "loss": 0.4695, + "step": 15836 + }, + { + "epoch": 0.55, + "learning_rate": 8.314944746016561e-05, + "loss": 0.5337, + "step": 15837 + }, + { + "epoch": 0.55, + "learning_rate": 8.313860336092061e-05, + "loss": 0.5006, + "step": 15838 + }, + { + "epoch": 0.55, + "learning_rate": 8.31277594657547e-05, + "loss": 0.468, + "step": 15839 + }, + { + "epoch": 0.55, + "learning_rate": 8.311691577479911e-05, + "loss": 0.61, + "step": 15840 + }, + { + "epoch": 0.55, + "learning_rate": 8.310607228818515e-05, + "loss": 0.4628, + "step": 15841 + }, + { + "epoch": 0.55, + "learning_rate": 8.309522900604402e-05, + "loss": 0.4589, + "step": 15842 + }, + { + "epoch": 0.55, + "learning_rate": 8.308438592850699e-05, + "loss": 0.5068, + "step": 15843 + }, + { + "epoch": 0.55, + "learning_rate": 8.307354305570524e-05, + "loss": 0.5414, + "step": 15844 + }, + { + "epoch": 0.55, + "learning_rate": 8.306270038777006e-05, + "loss": 0.5065, + "step": 15845 + }, + { + "epoch": 0.55, + "learning_rate": 8.305185792483267e-05, + "loss": 0.5836, + "step": 15846 + }, + { + "epoch": 0.55, + "learning_rate": 8.304101566702428e-05, + "loss": 0.4914, + "step": 15847 + }, + { + "epoch": 0.55, + "learning_rate": 8.30301736144762e-05, + "loss": 0.4495, + "step": 15848 + }, + { + "epoch": 0.55, + "learning_rate": 8.301933176731954e-05, + "loss": 0.542, + "step": 15849 + }, + { + "epoch": 0.55, + "learning_rate": 8.300849012568555e-05, + "loss": 0.5126, + "step": 15850 + }, + { + "epoch": 0.55, + "learning_rate": 8.299764868970547e-05, + "loss": 0.5872, + "step": 15851 + }, + { + "epoch": 0.55, + "learning_rate": 8.298680745951054e-05, + "loss": 0.5576, + "step": 15852 + }, + { + "epoch": 0.55, + "learning_rate": 8.297596643523196e-05, + "loss": 0.5308, + "step": 15853 + }, + { + "epoch": 0.55, + "learning_rate": 8.29651256170009e-05, + "loss": 0.4755, + "step": 15854 + }, + { + "epoch": 0.55, + "learning_rate": 8.295428500494863e-05, + "loss": 0.5765, + "step": 15855 + }, + { + "epoch": 0.55, + "learning_rate": 8.294344459920631e-05, + "loss": 0.5758, + "step": 15856 + }, + { + "epoch": 0.55, + "learning_rate": 8.293260439990519e-05, + "loss": 0.5762, + "step": 15857 + }, + { + "epoch": 0.55, + "learning_rate": 8.292176440717645e-05, + "loss": 0.5566, + "step": 15858 + }, + { + "epoch": 0.55, + "learning_rate": 8.291092462115127e-05, + "loss": 0.4517, + "step": 15859 + }, + { + "epoch": 0.55, + "learning_rate": 8.290008504196088e-05, + "loss": 0.5379, + "step": 15860 + }, + { + "epoch": 0.56, + "learning_rate": 8.288924566973648e-05, + "loss": 0.5867, + "step": 15861 + }, + { + "epoch": 0.56, + "learning_rate": 8.28784065046092e-05, + "loss": 0.5131, + "step": 15862 + }, + { + "epoch": 0.56, + "learning_rate": 8.286756754671032e-05, + "loss": 0.613, + "step": 15863 + }, + { + "epoch": 0.56, + "learning_rate": 8.285672879617096e-05, + "loss": 0.5379, + "step": 15864 + }, + { + "epoch": 0.56, + "learning_rate": 8.284589025312234e-05, + "loss": 0.5106, + "step": 15865 + }, + { + "epoch": 0.56, + "learning_rate": 8.283505191769562e-05, + "loss": 0.6036, + "step": 15866 + }, + { + "epoch": 0.56, + "learning_rate": 8.282421379002199e-05, + "loss": 0.5321, + "step": 15867 + }, + { + "epoch": 0.56, + "learning_rate": 8.281337587023264e-05, + "loss": 0.5057, + "step": 15868 + }, + { + "epoch": 0.56, + "learning_rate": 8.280253815845871e-05, + "loss": 0.5247, + "step": 15869 + }, + { + "epoch": 0.56, + "learning_rate": 8.279170065483142e-05, + "loss": 0.5492, + "step": 15870 + }, + { + "epoch": 0.56, + "learning_rate": 8.27808633594819e-05, + "loss": 0.5576, + "step": 15871 + }, + { + "epoch": 0.56, + "learning_rate": 8.277002627254133e-05, + "loss": 0.4657, + "step": 15872 + }, + { + "epoch": 0.56, + "learning_rate": 8.275918939414089e-05, + "loss": 0.4856, + "step": 15873 + }, + { + "epoch": 0.56, + "learning_rate": 8.274835272441173e-05, + "loss": 0.556, + "step": 15874 + }, + { + "epoch": 0.56, + "learning_rate": 8.273751626348501e-05, + "loss": 0.5596, + "step": 15875 + }, + { + "epoch": 0.56, + "learning_rate": 8.272668001149188e-05, + "loss": 0.5009, + "step": 15876 + }, + { + "epoch": 0.56, + "learning_rate": 8.271584396856349e-05, + "loss": 0.5637, + "step": 15877 + }, + { + "epoch": 0.56, + "learning_rate": 8.270500813483101e-05, + "loss": 0.4488, + "step": 15878 + }, + { + "epoch": 0.56, + "learning_rate": 8.269417251042561e-05, + "loss": 0.5786, + "step": 15879 + }, + { + "epoch": 0.56, + "learning_rate": 8.268333709547837e-05, + "loss": 0.5374, + "step": 15880 + }, + { + "epoch": 0.56, + "learning_rate": 8.267250189012051e-05, + "loss": 0.4858, + "step": 15881 + }, + { + "epoch": 0.56, + "learning_rate": 8.266166689448312e-05, + "loss": 0.6158, + "step": 15882 + }, + { + "epoch": 0.56, + "learning_rate": 8.265083210869737e-05, + "loss": 0.4905, + "step": 15883 + }, + { + "epoch": 0.56, + "learning_rate": 8.263999753289437e-05, + "loss": 0.5399, + "step": 15884 + }, + { + "epoch": 0.56, + "learning_rate": 8.262916316720526e-05, + "loss": 0.5293, + "step": 15885 + }, + { + "epoch": 0.56, + "learning_rate": 8.261832901176121e-05, + "loss": 0.4297, + "step": 15886 + }, + { + "epoch": 0.56, + "learning_rate": 8.260749506669329e-05, + "loss": 0.524, + "step": 15887 + }, + { + "epoch": 0.56, + "learning_rate": 8.259666133213267e-05, + "loss": 0.5836, + "step": 15888 + }, + { + "epoch": 0.56, + "learning_rate": 8.258582780821047e-05, + "loss": 0.4957, + "step": 15889 + }, + { + "epoch": 0.56, + "learning_rate": 8.257499449505778e-05, + "loss": 0.495, + "step": 15890 + }, + { + "epoch": 0.56, + "learning_rate": 8.256416139280577e-05, + "loss": 0.5162, + "step": 15891 + }, + { + "epoch": 0.56, + "learning_rate": 8.255332850158552e-05, + "loss": 0.5443, + "step": 15892 + }, + { + "epoch": 0.56, + "learning_rate": 8.254249582152813e-05, + "loss": 0.4401, + "step": 15893 + }, + { + "epoch": 0.56, + "learning_rate": 8.253166335276477e-05, + "loss": 0.4918, + "step": 15894 + }, + { + "epoch": 0.56, + "learning_rate": 8.252083109542648e-05, + "loss": 0.4539, + "step": 15895 + }, + { + "epoch": 0.56, + "learning_rate": 8.250999904964441e-05, + "loss": 0.6391, + "step": 15896 + }, + { + "epoch": 0.56, + "learning_rate": 8.249916721554967e-05, + "loss": 0.5294, + "step": 15897 + }, + { + "epoch": 0.56, + "learning_rate": 8.248833559327333e-05, + "loss": 0.4905, + "step": 15898 + }, + { + "epoch": 0.56, + "learning_rate": 8.247750418294651e-05, + "loss": 0.5107, + "step": 15899 + }, + { + "epoch": 0.56, + "learning_rate": 8.246667298470028e-05, + "loss": 0.5699, + "step": 15900 + }, + { + "epoch": 0.56, + "learning_rate": 8.245584199866579e-05, + "loss": 0.4525, + "step": 15901 + }, + { + "epoch": 0.56, + "learning_rate": 8.244501122497406e-05, + "loss": 0.5664, + "step": 15902 + }, + { + "epoch": 0.56, + "learning_rate": 8.243418066375622e-05, + "loss": 0.5215, + "step": 15903 + }, + { + "epoch": 0.56, + "learning_rate": 8.242335031514337e-05, + "loss": 0.4914, + "step": 15904 + }, + { + "epoch": 0.56, + "learning_rate": 8.241252017926653e-05, + "loss": 0.5723, + "step": 15905 + }, + { + "epoch": 0.56, + "learning_rate": 8.240169025625687e-05, + "loss": 0.439, + "step": 15906 + }, + { + "epoch": 0.56, + "learning_rate": 8.23908605462454e-05, + "loss": 0.4838, + "step": 15907 + }, + { + "epoch": 0.56, + "learning_rate": 8.238003104936322e-05, + "loss": 0.5963, + "step": 15908 + }, + { + "epoch": 0.56, + "learning_rate": 8.23692017657414e-05, + "loss": 0.5081, + "step": 15909 + }, + { + "epoch": 0.56, + "learning_rate": 8.235837269551101e-05, + "loss": 0.5609, + "step": 15910 + }, + { + "epoch": 0.56, + "learning_rate": 8.234754383880311e-05, + "loss": 0.5054, + "step": 15911 + }, + { + "epoch": 0.56, + "learning_rate": 8.233671519574878e-05, + "loss": 0.5153, + "step": 15912 + }, + { + "epoch": 0.56, + "learning_rate": 8.232588676647906e-05, + "loss": 0.5043, + "step": 15913 + }, + { + "epoch": 0.56, + "learning_rate": 8.231505855112506e-05, + "loss": 0.5788, + "step": 15914 + }, + { + "epoch": 0.56, + "learning_rate": 8.230423054981778e-05, + "loss": 0.5887, + "step": 15915 + }, + { + "epoch": 0.56, + "learning_rate": 8.229340276268829e-05, + "loss": 0.5544, + "step": 15916 + }, + { + "epoch": 0.56, + "learning_rate": 8.228257518986768e-05, + "loss": 0.6062, + "step": 15917 + }, + { + "epoch": 0.56, + "learning_rate": 8.227174783148693e-05, + "loss": 0.605, + "step": 15918 + }, + { + "epoch": 0.56, + "learning_rate": 8.226092068767717e-05, + "loss": 0.4959, + "step": 15919 + }, + { + "epoch": 0.56, + "learning_rate": 8.225009375856938e-05, + "loss": 0.5401, + "step": 15920 + }, + { + "epoch": 0.56, + "learning_rate": 8.223926704429462e-05, + "loss": 0.5945, + "step": 15921 + }, + { + "epoch": 0.56, + "learning_rate": 8.222844054498396e-05, + "loss": 0.6247, + "step": 15922 + }, + { + "epoch": 0.56, + "learning_rate": 8.221761426076838e-05, + "loss": 0.522, + "step": 15923 + }, + { + "epoch": 0.56, + "learning_rate": 8.220678819177894e-05, + "loss": 0.637, + "step": 15924 + }, + { + "epoch": 0.56, + "learning_rate": 8.21959623381467e-05, + "loss": 0.5724, + "step": 15925 + }, + { + "epoch": 0.56, + "learning_rate": 8.218513670000264e-05, + "loss": 0.4864, + "step": 15926 + }, + { + "epoch": 0.56, + "learning_rate": 8.217431127747784e-05, + "loss": 0.515, + "step": 15927 + }, + { + "epoch": 0.56, + "learning_rate": 8.216348607070329e-05, + "loss": 0.4815, + "step": 15928 + }, + { + "epoch": 0.56, + "learning_rate": 8.215266107980999e-05, + "loss": 0.5368, + "step": 15929 + }, + { + "epoch": 0.56, + "learning_rate": 8.2141836304929e-05, + "loss": 0.5032, + "step": 15930 + }, + { + "epoch": 0.56, + "learning_rate": 8.213101174619132e-05, + "loss": 0.5837, + "step": 15931 + }, + { + "epoch": 0.56, + "learning_rate": 8.212018740372796e-05, + "loss": 0.6413, + "step": 15932 + }, + { + "epoch": 0.56, + "learning_rate": 8.210936327766995e-05, + "loss": 0.5298, + "step": 15933 + }, + { + "epoch": 0.56, + "learning_rate": 8.209853936814825e-05, + "loss": 0.4478, + "step": 15934 + }, + { + "epoch": 0.56, + "learning_rate": 8.208771567529392e-05, + "loss": 0.4746, + "step": 15935 + }, + { + "epoch": 0.56, + "learning_rate": 8.207689219923793e-05, + "loss": 0.5872, + "step": 15936 + }, + { + "epoch": 0.56, + "learning_rate": 8.20660689401113e-05, + "loss": 0.6477, + "step": 15937 + }, + { + "epoch": 0.56, + "learning_rate": 8.205524589804502e-05, + "loss": 0.4654, + "step": 15938 + }, + { + "epoch": 0.56, + "learning_rate": 8.204442307317006e-05, + "loss": 0.5094, + "step": 15939 + }, + { + "epoch": 0.56, + "learning_rate": 8.203360046561746e-05, + "loss": 0.5128, + "step": 15940 + }, + { + "epoch": 0.56, + "learning_rate": 8.20227780755182e-05, + "loss": 0.5243, + "step": 15941 + }, + { + "epoch": 0.56, + "learning_rate": 8.201195590300321e-05, + "loss": 0.5262, + "step": 15942 + }, + { + "epoch": 0.56, + "learning_rate": 8.200113394820354e-05, + "loss": 0.5093, + "step": 15943 + }, + { + "epoch": 0.56, + "learning_rate": 8.199031221125012e-05, + "loss": 0.5774, + "step": 15944 + }, + { + "epoch": 0.56, + "learning_rate": 8.197949069227399e-05, + "loss": 0.5182, + "step": 15945 + }, + { + "epoch": 0.56, + "learning_rate": 8.196866939140609e-05, + "loss": 0.5723, + "step": 15946 + }, + { + "epoch": 0.56, + "learning_rate": 8.195784830877736e-05, + "loss": 0.4718, + "step": 15947 + }, + { + "epoch": 0.56, + "learning_rate": 8.194702744451886e-05, + "loss": 0.5131, + "step": 15948 + }, + { + "epoch": 0.56, + "learning_rate": 8.193620679876146e-05, + "loss": 0.4433, + "step": 15949 + }, + { + "epoch": 0.56, + "learning_rate": 8.192538637163621e-05, + "loss": 0.4968, + "step": 15950 + }, + { + "epoch": 0.56, + "learning_rate": 8.191456616327402e-05, + "loss": 0.5011, + "step": 15951 + }, + { + "epoch": 0.56, + "learning_rate": 8.190374617380585e-05, + "loss": 0.5024, + "step": 15952 + }, + { + "epoch": 0.56, + "learning_rate": 8.189292640336271e-05, + "loss": 0.5328, + "step": 15953 + }, + { + "epoch": 0.56, + "learning_rate": 8.188210685207547e-05, + "loss": 0.4226, + "step": 15954 + }, + { + "epoch": 0.56, + "learning_rate": 8.187128752007517e-05, + "loss": 0.5532, + "step": 15955 + }, + { + "epoch": 0.56, + "learning_rate": 8.186046840749273e-05, + "loss": 0.512, + "step": 15956 + }, + { + "epoch": 0.56, + "learning_rate": 8.184964951445906e-05, + "loss": 0.5009, + "step": 15957 + }, + { + "epoch": 0.56, + "learning_rate": 8.183883084110516e-05, + "loss": 0.5302, + "step": 15958 + }, + { + "epoch": 0.56, + "learning_rate": 8.182801238756194e-05, + "loss": 0.4344, + "step": 15959 + }, + { + "epoch": 0.56, + "learning_rate": 8.181719415396032e-05, + "loss": 0.5614, + "step": 15960 + }, + { + "epoch": 0.56, + "learning_rate": 8.18063761404313e-05, + "loss": 0.5321, + "step": 15961 + }, + { + "epoch": 0.56, + "learning_rate": 8.179555834710575e-05, + "loss": 0.5086, + "step": 15962 + }, + { + "epoch": 0.56, + "learning_rate": 8.178474077411463e-05, + "loss": 0.5144, + "step": 15963 + }, + { + "epoch": 0.56, + "learning_rate": 8.177392342158889e-05, + "loss": 0.511, + "step": 15964 + }, + { + "epoch": 0.56, + "learning_rate": 8.17631062896594e-05, + "loss": 0.5127, + "step": 15965 + }, + { + "epoch": 0.56, + "learning_rate": 8.175228937845714e-05, + "loss": 0.5963, + "step": 15966 + }, + { + "epoch": 0.56, + "learning_rate": 8.174147268811298e-05, + "loss": 0.4966, + "step": 15967 + }, + { + "epoch": 0.56, + "learning_rate": 8.173065621875789e-05, + "loss": 0.5981, + "step": 15968 + }, + { + "epoch": 0.56, + "learning_rate": 8.171983997052275e-05, + "loss": 0.5337, + "step": 15969 + }, + { + "epoch": 0.56, + "learning_rate": 8.170902394353848e-05, + "loss": 0.5667, + "step": 15970 + }, + { + "epoch": 0.56, + "learning_rate": 8.1698208137936e-05, + "loss": 0.5085, + "step": 15971 + }, + { + "epoch": 0.56, + "learning_rate": 8.168739255384619e-05, + "loss": 0.497, + "step": 15972 + }, + { + "epoch": 0.56, + "learning_rate": 8.167657719139999e-05, + "loss": 0.567, + "step": 15973 + }, + { + "epoch": 0.56, + "learning_rate": 8.166576205072829e-05, + "loss": 0.5774, + "step": 15974 + }, + { + "epoch": 0.56, + "learning_rate": 8.165494713196199e-05, + "loss": 0.4971, + "step": 15975 + }, + { + "epoch": 0.56, + "learning_rate": 8.164413243523196e-05, + "loss": 0.4641, + "step": 15976 + }, + { + "epoch": 0.56, + "learning_rate": 8.163331796066914e-05, + "loss": 0.4658, + "step": 15977 + }, + { + "epoch": 0.56, + "learning_rate": 8.162250370840437e-05, + "loss": 0.5076, + "step": 15978 + }, + { + "epoch": 0.56, + "learning_rate": 8.16116896785686e-05, + "loss": 0.4812, + "step": 15979 + }, + { + "epoch": 0.56, + "learning_rate": 8.160087587129264e-05, + "loss": 0.5481, + "step": 15980 + }, + { + "epoch": 0.56, + "learning_rate": 8.159006228670745e-05, + "loss": 0.5138, + "step": 15981 + }, + { + "epoch": 0.56, + "learning_rate": 8.157924892494389e-05, + "loss": 0.5543, + "step": 15982 + }, + { + "epoch": 0.56, + "learning_rate": 8.15684357861328e-05, + "loss": 0.5626, + "step": 15983 + }, + { + "epoch": 0.56, + "learning_rate": 8.155762287040505e-05, + "loss": 0.6327, + "step": 15984 + }, + { + "epoch": 0.56, + "learning_rate": 8.154681017789158e-05, + "loss": 0.4163, + "step": 15985 + }, + { + "epoch": 0.56, + "learning_rate": 8.153599770872321e-05, + "loss": 0.4988, + "step": 15986 + }, + { + "epoch": 0.56, + "learning_rate": 8.15251854630308e-05, + "loss": 0.604, + "step": 15987 + }, + { + "epoch": 0.56, + "learning_rate": 8.151437344094523e-05, + "loss": 0.5777, + "step": 15988 + }, + { + "epoch": 0.56, + "learning_rate": 8.150356164259737e-05, + "loss": 0.4708, + "step": 15989 + }, + { + "epoch": 0.56, + "learning_rate": 8.149275006811809e-05, + "loss": 0.5278, + "step": 15990 + }, + { + "epoch": 0.56, + "learning_rate": 8.148193871763821e-05, + "loss": 0.4823, + "step": 15991 + }, + { + "epoch": 0.56, + "learning_rate": 8.147112759128859e-05, + "loss": 0.4754, + "step": 15992 + }, + { + "epoch": 0.56, + "learning_rate": 8.146031668920011e-05, + "loss": 0.5041, + "step": 15993 + }, + { + "epoch": 0.56, + "learning_rate": 8.14495060115036e-05, + "loss": 0.547, + "step": 15994 + }, + { + "epoch": 0.56, + "learning_rate": 8.143869555832987e-05, + "loss": 0.6138, + "step": 15995 + }, + { + "epoch": 0.56, + "learning_rate": 8.142788532980983e-05, + "loss": 0.5109, + "step": 15996 + }, + { + "epoch": 0.56, + "learning_rate": 8.141707532607427e-05, + "loss": 0.4659, + "step": 15997 + }, + { + "epoch": 0.56, + "learning_rate": 8.140626554725405e-05, + "loss": 0.5751, + "step": 15998 + }, + { + "epoch": 0.56, + "learning_rate": 8.139545599348002e-05, + "loss": 0.5059, + "step": 15999 + }, + { + "epoch": 0.56, + "learning_rate": 8.138464666488296e-05, + "loss": 0.5357, + "step": 16000 + }, + { + "epoch": 0.56, + "eval_loss": 0.5129332542419434, + "eval_runtime": 847.7068, + "eval_samples_per_second": 28.382, + "eval_steps_per_second": 14.191, + "step": 16000 + }, + { + "epoch": 0.56, + "learning_rate": 8.137383756159375e-05, + "loss": 0.5455, + "step": 16001 + }, + { + "epoch": 0.56, + "learning_rate": 8.136302868374317e-05, + "loss": 0.5452, + "step": 16002 + }, + { + "epoch": 0.56, + "learning_rate": 8.135222003146209e-05, + "loss": 0.5291, + "step": 16003 + }, + { + "epoch": 0.56, + "learning_rate": 8.134141160488132e-05, + "loss": 0.4943, + "step": 16004 + }, + { + "epoch": 0.56, + "learning_rate": 8.133060340413163e-05, + "loss": 0.4472, + "step": 16005 + }, + { + "epoch": 0.56, + "learning_rate": 8.131979542934389e-05, + "loss": 0.5117, + "step": 16006 + }, + { + "epoch": 0.56, + "learning_rate": 8.130898768064888e-05, + "loss": 0.5495, + "step": 16007 + }, + { + "epoch": 0.56, + "learning_rate": 8.129818015817745e-05, + "loss": 0.5534, + "step": 16008 + }, + { + "epoch": 0.56, + "learning_rate": 8.128737286206038e-05, + "loss": 0.5394, + "step": 16009 + }, + { + "epoch": 0.56, + "learning_rate": 8.127656579242846e-05, + "loss": 0.5298, + "step": 16010 + }, + { + "epoch": 0.56, + "learning_rate": 8.126575894941251e-05, + "loss": 0.4628, + "step": 16011 + }, + { + "epoch": 0.56, + "learning_rate": 8.125495233314335e-05, + "loss": 0.6152, + "step": 16012 + }, + { + "epoch": 0.56, + "learning_rate": 8.124414594375171e-05, + "loss": 0.5194, + "step": 16013 + }, + { + "epoch": 0.56, + "learning_rate": 8.123333978136847e-05, + "loss": 0.5097, + "step": 16014 + }, + { + "epoch": 0.56, + "learning_rate": 8.122253384612435e-05, + "loss": 0.607, + "step": 16015 + }, + { + "epoch": 0.56, + "learning_rate": 8.121172813815016e-05, + "loss": 0.5245, + "step": 16016 + }, + { + "epoch": 0.56, + "learning_rate": 8.120092265757672e-05, + "loss": 0.562, + "step": 16017 + }, + { + "epoch": 0.56, + "learning_rate": 8.119011740453474e-05, + "loss": 0.452, + "step": 16018 + }, + { + "epoch": 0.56, + "learning_rate": 8.117931237915508e-05, + "loss": 0.5287, + "step": 16019 + }, + { + "epoch": 0.56, + "learning_rate": 8.116850758156844e-05, + "loss": 0.6148, + "step": 16020 + }, + { + "epoch": 0.56, + "learning_rate": 8.115770301190566e-05, + "loss": 0.5372, + "step": 16021 + }, + { + "epoch": 0.56, + "learning_rate": 8.114689867029749e-05, + "loss": 0.4751, + "step": 16022 + }, + { + "epoch": 0.56, + "learning_rate": 8.113609455687466e-05, + "loss": 0.5768, + "step": 16023 + }, + { + "epoch": 0.56, + "learning_rate": 8.1125290671768e-05, + "loss": 0.5884, + "step": 16024 + }, + { + "epoch": 0.56, + "learning_rate": 8.111448701510824e-05, + "loss": 0.5102, + "step": 16025 + }, + { + "epoch": 0.56, + "learning_rate": 8.110368358702611e-05, + "loss": 0.4304, + "step": 16026 + }, + { + "epoch": 0.56, + "learning_rate": 8.109288038765243e-05, + "loss": 0.5715, + "step": 16027 + }, + { + "epoch": 0.56, + "learning_rate": 8.108207741711789e-05, + "loss": 0.4505, + "step": 16028 + }, + { + "epoch": 0.56, + "learning_rate": 8.107127467555331e-05, + "loss": 0.6283, + "step": 16029 + }, + { + "epoch": 0.56, + "learning_rate": 8.10604721630894e-05, + "loss": 0.6094, + "step": 16030 + }, + { + "epoch": 0.56, + "learning_rate": 8.104966987985688e-05, + "loss": 0.4682, + "step": 16031 + }, + { + "epoch": 0.56, + "learning_rate": 8.103886782598655e-05, + "loss": 0.4361, + "step": 16032 + }, + { + "epoch": 0.56, + "learning_rate": 8.102806600160911e-05, + "loss": 0.6252, + "step": 16033 + }, + { + "epoch": 0.56, + "learning_rate": 8.101726440685532e-05, + "loss": 0.5044, + "step": 16034 + }, + { + "epoch": 0.56, + "learning_rate": 8.100646304185593e-05, + "loss": 0.5445, + "step": 16035 + }, + { + "epoch": 0.56, + "learning_rate": 8.099566190674162e-05, + "loss": 0.5295, + "step": 16036 + }, + { + "epoch": 0.56, + "learning_rate": 8.098486100164317e-05, + "loss": 0.5013, + "step": 16037 + }, + { + "epoch": 0.56, + "learning_rate": 8.097406032669128e-05, + "loss": 0.4183, + "step": 16038 + }, + { + "epoch": 0.56, + "learning_rate": 8.096325988201668e-05, + "loss": 0.5027, + "step": 16039 + }, + { + "epoch": 0.56, + "learning_rate": 8.095245966775012e-05, + "loss": 0.4867, + "step": 16040 + }, + { + "epoch": 0.56, + "learning_rate": 8.094165968402225e-05, + "loss": 0.5601, + "step": 16041 + }, + { + "epoch": 0.56, + "learning_rate": 8.093085993096385e-05, + "loss": 0.4879, + "step": 16042 + }, + { + "epoch": 0.56, + "learning_rate": 8.092006040870562e-05, + "loss": 0.5617, + "step": 16043 + }, + { + "epoch": 0.56, + "learning_rate": 8.090926111737823e-05, + "loss": 0.4672, + "step": 16044 + }, + { + "epoch": 0.56, + "learning_rate": 8.089846205711244e-05, + "loss": 0.5637, + "step": 16045 + }, + { + "epoch": 0.56, + "learning_rate": 8.088766322803892e-05, + "loss": 0.4741, + "step": 16046 + }, + { + "epoch": 0.56, + "learning_rate": 8.08768646302884e-05, + "loss": 0.5173, + "step": 16047 + }, + { + "epoch": 0.56, + "learning_rate": 8.086606626399158e-05, + "loss": 0.5887, + "step": 16048 + }, + { + "epoch": 0.56, + "learning_rate": 8.08552681292791e-05, + "loss": 0.6075, + "step": 16049 + }, + { + "epoch": 0.56, + "learning_rate": 8.084447022628173e-05, + "loss": 0.5363, + "step": 16050 + }, + { + "epoch": 0.56, + "learning_rate": 8.08336725551301e-05, + "loss": 0.5349, + "step": 16051 + }, + { + "epoch": 0.56, + "learning_rate": 8.082287511595493e-05, + "loss": 0.5211, + "step": 16052 + }, + { + "epoch": 0.56, + "learning_rate": 8.08120779088869e-05, + "loss": 0.5478, + "step": 16053 + }, + { + "epoch": 0.56, + "learning_rate": 8.080128093405667e-05, + "loss": 0.4843, + "step": 16054 + }, + { + "epoch": 0.56, + "learning_rate": 8.079048419159496e-05, + "loss": 0.5244, + "step": 16055 + }, + { + "epoch": 0.56, + "learning_rate": 8.077968768163242e-05, + "loss": 0.6191, + "step": 16056 + }, + { + "epoch": 0.56, + "learning_rate": 8.076889140429972e-05, + "loss": 0.4861, + "step": 16057 + }, + { + "epoch": 0.56, + "learning_rate": 8.075809535972758e-05, + "loss": 0.6012, + "step": 16058 + }, + { + "epoch": 0.56, + "learning_rate": 8.074729954804657e-05, + "loss": 0.4361, + "step": 16059 + }, + { + "epoch": 0.56, + "learning_rate": 8.073650396938746e-05, + "loss": 0.6175, + "step": 16060 + }, + { + "epoch": 0.56, + "learning_rate": 8.072570862388084e-05, + "loss": 0.576, + "step": 16061 + }, + { + "epoch": 0.56, + "learning_rate": 8.071491351165739e-05, + "loss": 0.5102, + "step": 16062 + }, + { + "epoch": 0.56, + "learning_rate": 8.070411863284779e-05, + "loss": 0.5404, + "step": 16063 + }, + { + "epoch": 0.56, + "learning_rate": 8.069332398758267e-05, + "loss": 0.5493, + "step": 16064 + }, + { + "epoch": 0.56, + "learning_rate": 8.068252957599269e-05, + "loss": 0.5114, + "step": 16065 + }, + { + "epoch": 0.56, + "learning_rate": 8.06717353982085e-05, + "loss": 0.5009, + "step": 16066 + }, + { + "epoch": 0.56, + "learning_rate": 8.066094145436072e-05, + "loss": 0.5934, + "step": 16067 + }, + { + "epoch": 0.56, + "learning_rate": 8.065014774458003e-05, + "loss": 0.4527, + "step": 16068 + }, + { + "epoch": 0.56, + "learning_rate": 8.063935426899706e-05, + "loss": 0.5678, + "step": 16069 + }, + { + "epoch": 0.56, + "learning_rate": 8.062856102774244e-05, + "loss": 0.5988, + "step": 16070 + }, + { + "epoch": 0.56, + "learning_rate": 8.06177680209468e-05, + "loss": 0.524, + "step": 16071 + }, + { + "epoch": 0.56, + "learning_rate": 8.060697524874077e-05, + "loss": 0.5345, + "step": 16072 + }, + { + "epoch": 0.56, + "learning_rate": 8.059618271125499e-05, + "loss": 0.6059, + "step": 16073 + }, + { + "epoch": 0.56, + "learning_rate": 8.05853904086201e-05, + "loss": 0.5121, + "step": 16074 + }, + { + "epoch": 0.56, + "learning_rate": 8.057459834096668e-05, + "loss": 0.5401, + "step": 16075 + }, + { + "epoch": 0.56, + "learning_rate": 8.056380650842539e-05, + "loss": 0.5231, + "step": 16076 + }, + { + "epoch": 0.56, + "learning_rate": 8.05530149111268e-05, + "loss": 0.519, + "step": 16077 + }, + { + "epoch": 0.56, + "learning_rate": 8.054222354920159e-05, + "loss": 0.5771, + "step": 16078 + }, + { + "epoch": 0.56, + "learning_rate": 8.053143242278033e-05, + "loss": 0.4781, + "step": 16079 + }, + { + "epoch": 0.56, + "learning_rate": 8.05206415319936e-05, + "loss": 0.5299, + "step": 16080 + }, + { + "epoch": 0.56, + "learning_rate": 8.05098508769721e-05, + "loss": 0.569, + "step": 16081 + }, + { + "epoch": 0.56, + "learning_rate": 8.049906045784632e-05, + "loss": 0.5082, + "step": 16082 + }, + { + "epoch": 0.56, + "learning_rate": 8.048827027474695e-05, + "loss": 0.612, + "step": 16083 + }, + { + "epoch": 0.56, + "learning_rate": 8.047748032780453e-05, + "loss": 0.484, + "step": 16084 + }, + { + "epoch": 0.56, + "learning_rate": 8.046669061714968e-05, + "loss": 0.4539, + "step": 16085 + }, + { + "epoch": 0.56, + "learning_rate": 8.045590114291299e-05, + "loss": 0.571, + "step": 16086 + }, + { + "epoch": 0.56, + "learning_rate": 8.044511190522503e-05, + "loss": 0.4772, + "step": 16087 + }, + { + "epoch": 0.56, + "learning_rate": 8.043432290421644e-05, + "loss": 0.5675, + "step": 16088 + }, + { + "epoch": 0.56, + "learning_rate": 8.042353414001774e-05, + "loss": 0.5531, + "step": 16089 + }, + { + "epoch": 0.56, + "learning_rate": 8.041274561275952e-05, + "loss": 0.4868, + "step": 16090 + }, + { + "epoch": 0.56, + "learning_rate": 8.04019573225724e-05, + "loss": 0.4957, + "step": 16091 + }, + { + "epoch": 0.56, + "learning_rate": 8.039116926958692e-05, + "loss": 0.4261, + "step": 16092 + }, + { + "epoch": 0.56, + "learning_rate": 8.038038145393363e-05, + "loss": 0.6108, + "step": 16093 + }, + { + "epoch": 0.56, + "learning_rate": 8.036959387574315e-05, + "loss": 0.5628, + "step": 16094 + }, + { + "epoch": 0.56, + "learning_rate": 8.035880653514601e-05, + "loss": 0.535, + "step": 16095 + }, + { + "epoch": 0.56, + "learning_rate": 8.034801943227279e-05, + "loss": 0.5504, + "step": 16096 + }, + { + "epoch": 0.56, + "learning_rate": 8.033723256725406e-05, + "loss": 0.4492, + "step": 16097 + }, + { + "epoch": 0.56, + "learning_rate": 8.032644594022031e-05, + "loss": 0.5029, + "step": 16098 + }, + { + "epoch": 0.56, + "learning_rate": 8.03156595513022e-05, + "loss": 0.4881, + "step": 16099 + }, + { + "epoch": 0.56, + "learning_rate": 8.03048734006302e-05, + "loss": 0.4899, + "step": 16100 + }, + { + "epoch": 0.56, + "learning_rate": 8.02940874883349e-05, + "loss": 0.5219, + "step": 16101 + }, + { + "epoch": 0.56, + "learning_rate": 8.028330181454681e-05, + "loss": 0.5068, + "step": 16102 + }, + { + "epoch": 0.56, + "learning_rate": 8.02725163793965e-05, + "loss": 0.5332, + "step": 16103 + }, + { + "epoch": 0.56, + "learning_rate": 8.026173118301451e-05, + "loss": 0.5294, + "step": 16104 + }, + { + "epoch": 0.56, + "learning_rate": 8.025094622553136e-05, + "loss": 0.5288, + "step": 16105 + }, + { + "epoch": 0.56, + "learning_rate": 8.02401615070776e-05, + "loss": 0.5049, + "step": 16106 + }, + { + "epoch": 0.56, + "learning_rate": 8.022937702778374e-05, + "loss": 0.5107, + "step": 16107 + }, + { + "epoch": 0.56, + "learning_rate": 8.021859278778034e-05, + "loss": 0.5991, + "step": 16108 + }, + { + "epoch": 0.56, + "learning_rate": 8.02078087871979e-05, + "loss": 0.558, + "step": 16109 + }, + { + "epoch": 0.56, + "learning_rate": 8.019702502616696e-05, + "loss": 0.5901, + "step": 16110 + }, + { + "epoch": 0.56, + "learning_rate": 8.018624150481801e-05, + "loss": 0.4961, + "step": 16111 + }, + { + "epoch": 0.56, + "learning_rate": 8.01754582232816e-05, + "loss": 0.5194, + "step": 16112 + }, + { + "epoch": 0.56, + "learning_rate": 8.016467518168821e-05, + "loss": 0.5295, + "step": 16113 + }, + { + "epoch": 0.56, + "learning_rate": 8.01538923801684e-05, + "loss": 0.504, + "step": 16114 + }, + { + "epoch": 0.56, + "learning_rate": 8.014310981885264e-05, + "loss": 0.5349, + "step": 16115 + }, + { + "epoch": 0.56, + "learning_rate": 8.013232749787142e-05, + "loss": 0.5385, + "step": 16116 + }, + { + "epoch": 0.56, + "learning_rate": 8.012154541735531e-05, + "loss": 0.5833, + "step": 16117 + }, + { + "epoch": 0.56, + "learning_rate": 8.011076357743474e-05, + "loss": 0.458, + "step": 16118 + }, + { + "epoch": 0.56, + "learning_rate": 8.009998197824025e-05, + "loss": 0.4673, + "step": 16119 + }, + { + "epoch": 0.56, + "learning_rate": 8.008920061990227e-05, + "loss": 0.5367, + "step": 16120 + }, + { + "epoch": 0.56, + "learning_rate": 8.007841950255138e-05, + "loss": 0.5367, + "step": 16121 + }, + { + "epoch": 0.56, + "learning_rate": 8.006763862631797e-05, + "loss": 0.5309, + "step": 16122 + }, + { + "epoch": 0.56, + "learning_rate": 8.005685799133261e-05, + "loss": 0.5254, + "step": 16123 + }, + { + "epoch": 0.56, + "learning_rate": 8.004607759772576e-05, + "loss": 0.5518, + "step": 16124 + }, + { + "epoch": 0.56, + "learning_rate": 8.003529744562785e-05, + "loss": 0.4347, + "step": 16125 + }, + { + "epoch": 0.56, + "learning_rate": 8.00245175351694e-05, + "loss": 0.5569, + "step": 16126 + }, + { + "epoch": 0.56, + "learning_rate": 8.00137378664809e-05, + "loss": 0.5538, + "step": 16127 + }, + { + "epoch": 0.56, + "learning_rate": 8.000295843969276e-05, + "loss": 0.4919, + "step": 16128 + }, + { + "epoch": 0.56, + "learning_rate": 7.999217925493552e-05, + "loss": 0.5201, + "step": 16129 + }, + { + "epoch": 0.56, + "learning_rate": 7.998140031233957e-05, + "loss": 0.5809, + "step": 16130 + }, + { + "epoch": 0.56, + "learning_rate": 7.997062161203544e-05, + "loss": 0.5153, + "step": 16131 + }, + { + "epoch": 0.56, + "learning_rate": 7.995984315415355e-05, + "loss": 0.6043, + "step": 16132 + }, + { + "epoch": 0.56, + "learning_rate": 7.994906493882433e-05, + "loss": 0.5748, + "step": 16133 + }, + { + "epoch": 0.56, + "learning_rate": 7.993828696617828e-05, + "loss": 0.5166, + "step": 16134 + }, + { + "epoch": 0.56, + "learning_rate": 7.992750923634585e-05, + "loss": 0.4613, + "step": 16135 + }, + { + "epoch": 0.56, + "learning_rate": 7.991673174945745e-05, + "loss": 0.4842, + "step": 16136 + }, + { + "epoch": 0.56, + "learning_rate": 7.990595450564355e-05, + "loss": 0.6461, + "step": 16137 + }, + { + "epoch": 0.56, + "learning_rate": 7.989517750503456e-05, + "loss": 0.5221, + "step": 16138 + }, + { + "epoch": 0.56, + "learning_rate": 7.988440074776098e-05, + "loss": 0.488, + "step": 16139 + }, + { + "epoch": 0.56, + "learning_rate": 7.987362423395317e-05, + "loss": 0.5085, + "step": 16140 + }, + { + "epoch": 0.56, + "learning_rate": 7.986284796374162e-05, + "loss": 0.5982, + "step": 16141 + }, + { + "epoch": 0.56, + "learning_rate": 7.985207193725675e-05, + "loss": 0.5483, + "step": 16142 + }, + { + "epoch": 0.56, + "learning_rate": 7.984129615462893e-05, + "loss": 0.492, + "step": 16143 + }, + { + "epoch": 0.56, + "learning_rate": 7.983052061598866e-05, + "loss": 0.4657, + "step": 16144 + }, + { + "epoch": 0.56, + "learning_rate": 7.981974532146632e-05, + "loss": 0.5583, + "step": 16145 + }, + { + "epoch": 0.57, + "learning_rate": 7.980897027119231e-05, + "loss": 0.569, + "step": 16146 + }, + { + "epoch": 0.57, + "learning_rate": 7.979819546529708e-05, + "loss": 0.4646, + "step": 16147 + }, + { + "epoch": 0.57, + "learning_rate": 7.978742090391101e-05, + "loss": 0.4733, + "step": 16148 + }, + { + "epoch": 0.57, + "learning_rate": 7.977664658716455e-05, + "loss": 0.4634, + "step": 16149 + }, + { + "epoch": 0.57, + "learning_rate": 7.976587251518808e-05, + "loss": 0.4794, + "step": 16150 + }, + { + "epoch": 0.57, + "learning_rate": 7.975509868811197e-05, + "loss": 0.4745, + "step": 16151 + }, + { + "epoch": 0.57, + "learning_rate": 7.974432510606668e-05, + "loss": 0.5067, + "step": 16152 + }, + { + "epoch": 0.57, + "learning_rate": 7.973355176918255e-05, + "loss": 0.5137, + "step": 16153 + }, + { + "epoch": 0.57, + "learning_rate": 7.972277867759004e-05, + "loss": 0.526, + "step": 16154 + }, + { + "epoch": 0.57, + "learning_rate": 7.971200583141948e-05, + "loss": 0.5091, + "step": 16155 + }, + { + "epoch": 0.57, + "learning_rate": 7.970123323080126e-05, + "loss": 0.5732, + "step": 16156 + }, + { + "epoch": 0.57, + "learning_rate": 7.969046087586582e-05, + "loss": 0.4891, + "step": 16157 + }, + { + "epoch": 0.57, + "learning_rate": 7.967968876674348e-05, + "loss": 0.4684, + "step": 16158 + }, + { + "epoch": 0.57, + "learning_rate": 7.966891690356465e-05, + "loss": 0.5286, + "step": 16159 + }, + { + "epoch": 0.57, + "learning_rate": 7.96581452864597e-05, + "loss": 0.5145, + "step": 16160 + }, + { + "epoch": 0.57, + "learning_rate": 7.964737391555899e-05, + "loss": 0.5127, + "step": 16161 + }, + { + "epoch": 0.57, + "learning_rate": 7.963660279099292e-05, + "loss": 0.6557, + "step": 16162 + }, + { + "epoch": 0.57, + "learning_rate": 7.962583191289183e-05, + "loss": 0.5972, + "step": 16163 + }, + { + "epoch": 0.57, + "learning_rate": 7.961506128138607e-05, + "loss": 0.4517, + "step": 16164 + }, + { + "epoch": 0.57, + "learning_rate": 7.960429089660604e-05, + "loss": 0.5083, + "step": 16165 + }, + { + "epoch": 0.57, + "learning_rate": 7.959352075868206e-05, + "loss": 0.4131, + "step": 16166 + }, + { + "epoch": 0.57, + "learning_rate": 7.958275086774453e-05, + "loss": 0.5717, + "step": 16167 + }, + { + "epoch": 0.57, + "learning_rate": 7.957198122392377e-05, + "loss": 0.5007, + "step": 16168 + }, + { + "epoch": 0.57, + "learning_rate": 7.95612118273501e-05, + "loss": 0.6055, + "step": 16169 + }, + { + "epoch": 0.57, + "learning_rate": 7.955044267815394e-05, + "loss": 0.4791, + "step": 16170 + }, + { + "epoch": 0.57, + "learning_rate": 7.953967377646555e-05, + "loss": 0.493, + "step": 16171 + }, + { + "epoch": 0.57, + "learning_rate": 7.952890512241536e-05, + "loss": 0.5994, + "step": 16172 + }, + { + "epoch": 0.57, + "learning_rate": 7.951813671613363e-05, + "loss": 0.6385, + "step": 16173 + }, + { + "epoch": 0.57, + "learning_rate": 7.950736855775071e-05, + "loss": 0.5411, + "step": 16174 + }, + { + "epoch": 0.57, + "learning_rate": 7.949660064739696e-05, + "loss": 0.5392, + "step": 16175 + }, + { + "epoch": 0.57, + "learning_rate": 7.94858329852027e-05, + "loss": 0.5484, + "step": 16176 + }, + { + "epoch": 0.57, + "learning_rate": 7.94750655712982e-05, + "loss": 0.5205, + "step": 16177 + }, + { + "epoch": 0.57, + "learning_rate": 7.946429840581386e-05, + "loss": 0.5289, + "step": 16178 + }, + { + "epoch": 0.57, + "learning_rate": 7.945353148887995e-05, + "loss": 0.4839, + "step": 16179 + }, + { + "epoch": 0.57, + "learning_rate": 7.944276482062681e-05, + "loss": 0.4654, + "step": 16180 + }, + { + "epoch": 0.57, + "learning_rate": 7.943199840118474e-05, + "loss": 0.4936, + "step": 16181 + }, + { + "epoch": 0.57, + "learning_rate": 7.942123223068405e-05, + "loss": 0.5893, + "step": 16182 + }, + { + "epoch": 0.57, + "learning_rate": 7.941046630925504e-05, + "loss": 0.5521, + "step": 16183 + }, + { + "epoch": 0.57, + "learning_rate": 7.939970063702803e-05, + "loss": 0.5407, + "step": 16184 + }, + { + "epoch": 0.57, + "learning_rate": 7.938893521413331e-05, + "loss": 0.4817, + "step": 16185 + }, + { + "epoch": 0.57, + "learning_rate": 7.93781700407012e-05, + "loss": 0.4968, + "step": 16186 + }, + { + "epoch": 0.57, + "learning_rate": 7.936740511686193e-05, + "loss": 0.4784, + "step": 16187 + }, + { + "epoch": 0.57, + "learning_rate": 7.935664044274589e-05, + "loss": 0.5689, + "step": 16188 + }, + { + "epoch": 0.57, + "learning_rate": 7.934587601848326e-05, + "loss": 0.5423, + "step": 16189 + }, + { + "epoch": 0.57, + "learning_rate": 7.933511184420443e-05, + "loss": 0.5266, + "step": 16190 + }, + { + "epoch": 0.57, + "learning_rate": 7.932434792003961e-05, + "loss": 0.548, + "step": 16191 + }, + { + "epoch": 0.57, + "learning_rate": 7.931358424611909e-05, + "loss": 0.5489, + "step": 16192 + }, + { + "epoch": 0.57, + "learning_rate": 7.930282082257318e-05, + "loss": 0.6846, + "step": 16193 + }, + { + "epoch": 0.57, + "learning_rate": 7.929205764953212e-05, + "loss": 0.4805, + "step": 16194 + }, + { + "epoch": 0.57, + "learning_rate": 7.928129472712617e-05, + "loss": 0.5037, + "step": 16195 + }, + { + "epoch": 0.57, + "learning_rate": 7.927053205548565e-05, + "loss": 0.5608, + "step": 16196 + }, + { + "epoch": 0.57, + "learning_rate": 7.925976963474078e-05, + "loss": 0.5508, + "step": 16197 + }, + { + "epoch": 0.57, + "learning_rate": 7.924900746502185e-05, + "loss": 0.5806, + "step": 16198 + }, + { + "epoch": 0.57, + "learning_rate": 7.923824554645908e-05, + "loss": 0.5718, + "step": 16199 + }, + { + "epoch": 0.57, + "learning_rate": 7.922748387918274e-05, + "loss": 0.6064, + "step": 16200 + }, + { + "epoch": 0.57, + "eval_loss": 0.5091128945350647, + "eval_runtime": 855.7608, + "eval_samples_per_second": 28.115, + "eval_steps_per_second": 14.058, + "step": 16200 + }, + { + "epoch": 0.57, + "learning_rate": 7.921672246332312e-05, + "loss": 0.5176, + "step": 16201 + }, + { + "epoch": 0.57, + "learning_rate": 7.92059612990104e-05, + "loss": 0.4529, + "step": 16202 + }, + { + "epoch": 0.57, + "learning_rate": 7.91952003863749e-05, + "loss": 0.4966, + "step": 16203 + }, + { + "epoch": 0.57, + "learning_rate": 7.918443972554682e-05, + "loss": 0.5549, + "step": 16204 + }, + { + "epoch": 0.57, + "learning_rate": 7.917367931665638e-05, + "loss": 0.3978, + "step": 16205 + }, + { + "epoch": 0.57, + "learning_rate": 7.916291915983388e-05, + "loss": 0.5151, + "step": 16206 + }, + { + "epoch": 0.57, + "learning_rate": 7.915215925520949e-05, + "loss": 0.5685, + "step": 16207 + }, + { + "epoch": 0.57, + "learning_rate": 7.91413996029135e-05, + "loss": 0.625, + "step": 16208 + }, + { + "epoch": 0.57, + "learning_rate": 7.913064020307608e-05, + "loss": 0.5981, + "step": 16209 + }, + { + "epoch": 0.57, + "learning_rate": 7.911988105582747e-05, + "loss": 0.5551, + "step": 16210 + }, + { + "epoch": 0.57, + "learning_rate": 7.910912216129793e-05, + "loss": 0.5671, + "step": 16211 + }, + { + "epoch": 0.57, + "learning_rate": 7.909836351961764e-05, + "loss": 0.5823, + "step": 16212 + }, + { + "epoch": 0.57, + "learning_rate": 7.908760513091682e-05, + "loss": 0.5518, + "step": 16213 + }, + { + "epoch": 0.57, + "learning_rate": 7.90768469953257e-05, + "loss": 0.5509, + "step": 16214 + }, + { + "epoch": 0.57, + "learning_rate": 7.906608911297445e-05, + "loss": 0.5513, + "step": 16215 + }, + { + "epoch": 0.57, + "learning_rate": 7.905533148399334e-05, + "loss": 0.5136, + "step": 16216 + }, + { + "epoch": 0.57, + "learning_rate": 7.904457410851253e-05, + "loss": 0.5261, + "step": 16217 + }, + { + "epoch": 0.57, + "learning_rate": 7.90338169866622e-05, + "loss": 0.4777, + "step": 16218 + }, + { + "epoch": 0.57, + "learning_rate": 7.90230601185726e-05, + "loss": 0.646, + "step": 16219 + }, + { + "epoch": 0.57, + "learning_rate": 7.901230350437389e-05, + "loss": 0.5166, + "step": 16220 + }, + { + "epoch": 0.57, + "learning_rate": 7.900154714419628e-05, + "loss": 0.5325, + "step": 16221 + }, + { + "epoch": 0.57, + "learning_rate": 7.899079103816993e-05, + "loss": 0.5208, + "step": 16222 + }, + { + "epoch": 0.57, + "learning_rate": 7.898003518642504e-05, + "loss": 0.5716, + "step": 16223 + }, + { + "epoch": 0.57, + "learning_rate": 7.896927958909181e-05, + "loss": 0.5546, + "step": 16224 + }, + { + "epoch": 0.57, + "learning_rate": 7.895852424630038e-05, + "loss": 0.5102, + "step": 16225 + }, + { + "epoch": 0.57, + "learning_rate": 7.894776915818097e-05, + "loss": 0.5328, + "step": 16226 + }, + { + "epoch": 0.57, + "learning_rate": 7.893701432486373e-05, + "loss": 0.5185, + "step": 16227 + }, + { + "epoch": 0.57, + "learning_rate": 7.89262597464788e-05, + "loss": 0.5808, + "step": 16228 + }, + { + "epoch": 0.57, + "learning_rate": 7.891550542315641e-05, + "loss": 0.4469, + "step": 16229 + }, + { + "epoch": 0.57, + "learning_rate": 7.890475135502669e-05, + "loss": 0.5747, + "step": 16230 + }, + { + "epoch": 0.57, + "learning_rate": 7.889399754221976e-05, + "loss": 0.5172, + "step": 16231 + }, + { + "epoch": 0.57, + "learning_rate": 7.888324398486584e-05, + "loss": 0.5719, + "step": 16232 + }, + { + "epoch": 0.57, + "learning_rate": 7.887249068309504e-05, + "loss": 0.5422, + "step": 16233 + }, + { + "epoch": 0.57, + "learning_rate": 7.886173763703757e-05, + "loss": 0.5184, + "step": 16234 + }, + { + "epoch": 0.57, + "learning_rate": 7.885098484682351e-05, + "loss": 0.574, + "step": 16235 + }, + { + "epoch": 0.57, + "learning_rate": 7.884023231258304e-05, + "loss": 0.5122, + "step": 16236 + }, + { + "epoch": 0.57, + "learning_rate": 7.882948003444629e-05, + "loss": 0.4832, + "step": 16237 + }, + { + "epoch": 0.57, + "learning_rate": 7.88187280125434e-05, + "loss": 0.4523, + "step": 16238 + }, + { + "epoch": 0.57, + "learning_rate": 7.880797624700451e-05, + "loss": 0.5437, + "step": 16239 + }, + { + "epoch": 0.57, + "learning_rate": 7.879722473795977e-05, + "loss": 0.4724, + "step": 16240 + }, + { + "epoch": 0.57, + "learning_rate": 7.878647348553924e-05, + "loss": 0.5583, + "step": 16241 + }, + { + "epoch": 0.57, + "learning_rate": 7.877572248987315e-05, + "loss": 0.5256, + "step": 16242 + }, + { + "epoch": 0.57, + "learning_rate": 7.876497175109155e-05, + "loss": 0.5867, + "step": 16243 + }, + { + "epoch": 0.57, + "learning_rate": 7.875422126932456e-05, + "loss": 0.5103, + "step": 16244 + }, + { + "epoch": 0.57, + "learning_rate": 7.874347104470234e-05, + "loss": 0.6124, + "step": 16245 + }, + { + "epoch": 0.57, + "learning_rate": 7.873272107735495e-05, + "loss": 0.5166, + "step": 16246 + }, + { + "epoch": 0.57, + "learning_rate": 7.872197136741255e-05, + "loss": 0.5646, + "step": 16247 + }, + { + "epoch": 0.57, + "learning_rate": 7.871122191500522e-05, + "loss": 0.4972, + "step": 16248 + }, + { + "epoch": 0.57, + "learning_rate": 7.870047272026306e-05, + "loss": 0.4031, + "step": 16249 + }, + { + "epoch": 0.57, + "learning_rate": 7.868972378331619e-05, + "loss": 0.525, + "step": 16250 + }, + { + "epoch": 0.57, + "learning_rate": 7.86789751042947e-05, + "loss": 0.4807, + "step": 16251 + }, + { + "epoch": 0.57, + "learning_rate": 7.866822668332871e-05, + "loss": 0.4887, + "step": 16252 + }, + { + "epoch": 0.57, + "learning_rate": 7.865747852054826e-05, + "loss": 0.4823, + "step": 16253 + }, + { + "epoch": 0.57, + "learning_rate": 7.864673061608347e-05, + "loss": 0.5151, + "step": 16254 + }, + { + "epoch": 0.57, + "learning_rate": 7.863598297006439e-05, + "loss": 0.5133, + "step": 16255 + }, + { + "epoch": 0.57, + "learning_rate": 7.862523558262116e-05, + "loss": 0.5559, + "step": 16256 + }, + { + "epoch": 0.57, + "learning_rate": 7.861448845388384e-05, + "loss": 0.5363, + "step": 16257 + }, + { + "epoch": 0.57, + "learning_rate": 7.860374158398247e-05, + "loss": 0.6491, + "step": 16258 + }, + { + "epoch": 0.57, + "learning_rate": 7.859299497304716e-05, + "loss": 0.5418, + "step": 16259 + }, + { + "epoch": 0.57, + "learning_rate": 7.858224862120796e-05, + "loss": 0.5581, + "step": 16260 + }, + { + "epoch": 0.57, + "learning_rate": 7.857150252859498e-05, + "loss": 0.5259, + "step": 16261 + }, + { + "epoch": 0.57, + "learning_rate": 7.856075669533822e-05, + "loss": 0.5333, + "step": 16262 + }, + { + "epoch": 0.57, + "learning_rate": 7.855001112156776e-05, + "loss": 0.5223, + "step": 16263 + }, + { + "epoch": 0.57, + "learning_rate": 7.85392658074137e-05, + "loss": 0.4699, + "step": 16264 + }, + { + "epoch": 0.57, + "learning_rate": 7.852852075300607e-05, + "loss": 0.4975, + "step": 16265 + }, + { + "epoch": 0.57, + "learning_rate": 7.851777595847488e-05, + "loss": 0.4817, + "step": 16266 + }, + { + "epoch": 0.57, + "learning_rate": 7.850703142395023e-05, + "loss": 0.5392, + "step": 16267 + }, + { + "epoch": 0.57, + "learning_rate": 7.849628714956212e-05, + "loss": 0.5194, + "step": 16268 + }, + { + "epoch": 0.57, + "learning_rate": 7.848554313544064e-05, + "loss": 0.6074, + "step": 16269 + }, + { + "epoch": 0.57, + "learning_rate": 7.847479938171582e-05, + "loss": 0.5507, + "step": 16270 + }, + { + "epoch": 0.57, + "learning_rate": 7.846405588851764e-05, + "loss": 0.4828, + "step": 16271 + }, + { + "epoch": 0.57, + "learning_rate": 7.845331265597621e-05, + "loss": 0.4043, + "step": 16272 + }, + { + "epoch": 0.57, + "learning_rate": 7.844256968422149e-05, + "loss": 0.4928, + "step": 16273 + }, + { + "epoch": 0.57, + "learning_rate": 7.843182697338357e-05, + "loss": 0.5229, + "step": 16274 + }, + { + "epoch": 0.57, + "learning_rate": 7.842108452359243e-05, + "loss": 0.5731, + "step": 16275 + }, + { + "epoch": 0.57, + "learning_rate": 7.841034233497808e-05, + "loss": 0.5335, + "step": 16276 + }, + { + "epoch": 0.57, + "learning_rate": 7.839960040767057e-05, + "loss": 0.4926, + "step": 16277 + }, + { + "epoch": 0.57, + "learning_rate": 7.838885874179991e-05, + "loss": 0.5349, + "step": 16278 + }, + { + "epoch": 0.57, + "learning_rate": 7.837811733749607e-05, + "loss": 0.5144, + "step": 16279 + }, + { + "epoch": 0.57, + "learning_rate": 7.836737619488911e-05, + "loss": 0.5349, + "step": 16280 + }, + { + "epoch": 0.57, + "learning_rate": 7.835663531410899e-05, + "loss": 0.5871, + "step": 16281 + }, + { + "epoch": 0.57, + "learning_rate": 7.834589469528575e-05, + "loss": 0.579, + "step": 16282 + }, + { + "epoch": 0.57, + "learning_rate": 7.833515433854936e-05, + "loss": 0.5933, + "step": 16283 + }, + { + "epoch": 0.57, + "learning_rate": 7.83244142440298e-05, + "loss": 0.5607, + "step": 16284 + }, + { + "epoch": 0.57, + "learning_rate": 7.831367441185712e-05, + "loss": 0.4146, + "step": 16285 + }, + { + "epoch": 0.57, + "learning_rate": 7.830293484216124e-05, + "loss": 0.58, + "step": 16286 + }, + { + "epoch": 0.57, + "learning_rate": 7.829219553507219e-05, + "loss": 0.5546, + "step": 16287 + }, + { + "epoch": 0.57, + "learning_rate": 7.828145649071994e-05, + "loss": 0.4819, + "step": 16288 + }, + { + "epoch": 0.57, + "learning_rate": 7.827071770923445e-05, + "loss": 0.4723, + "step": 16289 + }, + { + "epoch": 0.57, + "learning_rate": 7.825997919074571e-05, + "loss": 0.4935, + "step": 16290 + }, + { + "epoch": 0.57, + "learning_rate": 7.82492409353837e-05, + "loss": 0.4921, + "step": 16291 + }, + { + "epoch": 0.57, + "learning_rate": 7.823850294327837e-05, + "loss": 0.4319, + "step": 16292 + }, + { + "epoch": 0.57, + "learning_rate": 7.822776521455971e-05, + "loss": 0.5052, + "step": 16293 + }, + { + "epoch": 0.57, + "learning_rate": 7.821702774935765e-05, + "loss": 0.5526, + "step": 16294 + }, + { + "epoch": 0.57, + "learning_rate": 7.820629054780218e-05, + "loss": 0.4584, + "step": 16295 + }, + { + "epoch": 0.57, + "learning_rate": 7.819555361002325e-05, + "loss": 0.4229, + "step": 16296 + }, + { + "epoch": 0.57, + "learning_rate": 7.818481693615079e-05, + "loss": 0.4742, + "step": 16297 + }, + { + "epoch": 0.57, + "learning_rate": 7.817408052631477e-05, + "loss": 0.6128, + "step": 16298 + }, + { + "epoch": 0.57, + "learning_rate": 7.816334438064513e-05, + "loss": 0.5184, + "step": 16299 + }, + { + "epoch": 0.57, + "learning_rate": 7.815260849927181e-05, + "loss": 0.5447, + "step": 16300 + }, + { + "epoch": 0.57, + "learning_rate": 7.814187288232477e-05, + "loss": 0.5729, + "step": 16301 + }, + { + "epoch": 0.57, + "learning_rate": 7.81311375299339e-05, + "loss": 0.4521, + "step": 16302 + }, + { + "epoch": 0.57, + "learning_rate": 7.812040244222919e-05, + "loss": 0.5097, + "step": 16303 + }, + { + "epoch": 0.57, + "learning_rate": 7.810966761934053e-05, + "loss": 0.4831, + "step": 16304 + }, + { + "epoch": 0.57, + "learning_rate": 7.809893306139788e-05, + "loss": 0.6057, + "step": 16305 + }, + { + "epoch": 0.57, + "learning_rate": 7.808819876853114e-05, + "loss": 0.5007, + "step": 16306 + }, + { + "epoch": 0.57, + "learning_rate": 7.807746474087022e-05, + "loss": 0.5395, + "step": 16307 + }, + { + "epoch": 0.57, + "learning_rate": 7.806673097854508e-05, + "loss": 0.5048, + "step": 16308 + }, + { + "epoch": 0.57, + "learning_rate": 7.805599748168558e-05, + "loss": 0.4422, + "step": 16309 + }, + { + "epoch": 0.57, + "learning_rate": 7.804526425042169e-05, + "loss": 0.57, + "step": 16310 + }, + { + "epoch": 0.57, + "learning_rate": 7.803453128488328e-05, + "loss": 0.4472, + "step": 16311 + }, + { + "epoch": 0.57, + "learning_rate": 7.802379858520024e-05, + "loss": 0.4259, + "step": 16312 + }, + { + "epoch": 0.57, + "learning_rate": 7.801306615150253e-05, + "loss": 0.5265, + "step": 16313 + }, + { + "epoch": 0.57, + "learning_rate": 7.800233398391999e-05, + "loss": 0.4422, + "step": 16314 + }, + { + "epoch": 0.57, + "learning_rate": 7.799160208258253e-05, + "loss": 0.5174, + "step": 16315 + }, + { + "epoch": 0.57, + "learning_rate": 7.798087044762007e-05, + "loss": 0.5629, + "step": 16316 + }, + { + "epoch": 0.57, + "learning_rate": 7.797013907916244e-05, + "loss": 0.5313, + "step": 16317 + }, + { + "epoch": 0.57, + "learning_rate": 7.79594079773396e-05, + "loss": 0.5496, + "step": 16318 + }, + { + "epoch": 0.57, + "learning_rate": 7.79486771422814e-05, + "loss": 0.4913, + "step": 16319 + }, + { + "epoch": 0.57, + "learning_rate": 7.793794657411768e-05, + "loss": 0.4901, + "step": 16320 + }, + { + "epoch": 0.57, + "learning_rate": 7.792721627297837e-05, + "loss": 0.472, + "step": 16321 + }, + { + "epoch": 0.57, + "learning_rate": 7.79164862389933e-05, + "loss": 0.523, + "step": 16322 + }, + { + "epoch": 0.57, + "learning_rate": 7.79057564722924e-05, + "loss": 0.4895, + "step": 16323 + }, + { + "epoch": 0.57, + "learning_rate": 7.789502697300547e-05, + "loss": 0.6155, + "step": 16324 + }, + { + "epoch": 0.57, + "learning_rate": 7.788429774126239e-05, + "loss": 0.5636, + "step": 16325 + }, + { + "epoch": 0.57, + "learning_rate": 7.787356877719305e-05, + "loss": 0.5249, + "step": 16326 + }, + { + "epoch": 0.57, + "learning_rate": 7.786284008092729e-05, + "loss": 0.5859, + "step": 16327 + }, + { + "epoch": 0.57, + "learning_rate": 7.785211165259492e-05, + "loss": 0.6229, + "step": 16328 + }, + { + "epoch": 0.57, + "learning_rate": 7.784138349232587e-05, + "loss": 0.5466, + "step": 16329 + }, + { + "epoch": 0.57, + "learning_rate": 7.783065560024992e-05, + "loss": 0.4729, + "step": 16330 + }, + { + "epoch": 0.57, + "learning_rate": 7.781992797649695e-05, + "loss": 0.466, + "step": 16331 + }, + { + "epoch": 0.57, + "learning_rate": 7.780920062119679e-05, + "loss": 0.4796, + "step": 16332 + }, + { + "epoch": 0.57, + "learning_rate": 7.779847353447925e-05, + "loss": 0.5311, + "step": 16333 + }, + { + "epoch": 0.57, + "learning_rate": 7.778774671647422e-05, + "loss": 0.535, + "step": 16334 + }, + { + "epoch": 0.57, + "learning_rate": 7.777702016731148e-05, + "loss": 0.5639, + "step": 16335 + }, + { + "epoch": 0.57, + "learning_rate": 7.776629388712088e-05, + "loss": 0.5174, + "step": 16336 + }, + { + "epoch": 0.57, + "learning_rate": 7.775556787603224e-05, + "loss": 0.5077, + "step": 16337 + }, + { + "epoch": 0.57, + "learning_rate": 7.774484213417536e-05, + "loss": 0.5204, + "step": 16338 + }, + { + "epoch": 0.57, + "learning_rate": 7.773411666168011e-05, + "loss": 0.4944, + "step": 16339 + }, + { + "epoch": 0.57, + "learning_rate": 7.772339145867624e-05, + "loss": 0.52, + "step": 16340 + }, + { + "epoch": 0.57, + "learning_rate": 7.771266652529362e-05, + "loss": 0.5305, + "step": 16341 + }, + { + "epoch": 0.57, + "learning_rate": 7.770194186166202e-05, + "loss": 0.4147, + "step": 16342 + }, + { + "epoch": 0.57, + "learning_rate": 7.769121746791123e-05, + "loss": 0.4592, + "step": 16343 + }, + { + "epoch": 0.57, + "learning_rate": 7.768049334417111e-05, + "loss": 0.4895, + "step": 16344 + }, + { + "epoch": 0.57, + "learning_rate": 7.76697694905714e-05, + "loss": 0.6529, + "step": 16345 + }, + { + "epoch": 0.57, + "learning_rate": 7.765904590724191e-05, + "loss": 0.4791, + "step": 16346 + }, + { + "epoch": 0.57, + "learning_rate": 7.764832259431245e-05, + "loss": 0.5742, + "step": 16347 + }, + { + "epoch": 0.57, + "learning_rate": 7.763759955191278e-05, + "loss": 0.4236, + "step": 16348 + }, + { + "epoch": 0.57, + "learning_rate": 7.762687678017272e-05, + "loss": 0.4749, + "step": 16349 + }, + { + "epoch": 0.57, + "learning_rate": 7.761615427922203e-05, + "loss": 0.4624, + "step": 16350 + }, + { + "epoch": 0.57, + "learning_rate": 7.760543204919046e-05, + "loss": 0.5705, + "step": 16351 + }, + { + "epoch": 0.57, + "learning_rate": 7.759471009020784e-05, + "loss": 0.5071, + "step": 16352 + }, + { + "epoch": 0.57, + "learning_rate": 7.75839884024039e-05, + "loss": 0.5194, + "step": 16353 + }, + { + "epoch": 0.57, + "learning_rate": 7.757326698590845e-05, + "loss": 0.6257, + "step": 16354 + }, + { + "epoch": 0.57, + "learning_rate": 7.756254584085121e-05, + "loss": 0.5737, + "step": 16355 + }, + { + "epoch": 0.57, + "learning_rate": 7.755182496736194e-05, + "loss": 0.5893, + "step": 16356 + }, + { + "epoch": 0.57, + "learning_rate": 7.754110436557045e-05, + "loss": 0.5162, + "step": 16357 + }, + { + "epoch": 0.57, + "learning_rate": 7.753038403560643e-05, + "loss": 0.5267, + "step": 16358 + }, + { + "epoch": 0.57, + "learning_rate": 7.751966397759968e-05, + "loss": 0.5125, + "step": 16359 + }, + { + "epoch": 0.57, + "learning_rate": 7.750894419167995e-05, + "loss": 0.5385, + "step": 16360 + }, + { + "epoch": 0.57, + "learning_rate": 7.749822467797694e-05, + "loss": 0.5508, + "step": 16361 + }, + { + "epoch": 0.57, + "learning_rate": 7.748750543662044e-05, + "loss": 0.6066, + "step": 16362 + }, + { + "epoch": 0.57, + "learning_rate": 7.747678646774018e-05, + "loss": 0.5106, + "step": 16363 + }, + { + "epoch": 0.57, + "learning_rate": 7.746606777146585e-05, + "loss": 0.5223, + "step": 16364 + }, + { + "epoch": 0.57, + "learning_rate": 7.745534934792724e-05, + "loss": 0.5296, + "step": 16365 + }, + { + "epoch": 0.57, + "learning_rate": 7.744463119725404e-05, + "loss": 0.5141, + "step": 16366 + }, + { + "epoch": 0.57, + "learning_rate": 7.7433913319576e-05, + "loss": 0.5304, + "step": 16367 + }, + { + "epoch": 0.57, + "learning_rate": 7.742319571502284e-05, + "loss": 0.4798, + "step": 16368 + }, + { + "epoch": 0.57, + "learning_rate": 7.741247838372425e-05, + "loss": 0.6636, + "step": 16369 + }, + { + "epoch": 0.57, + "learning_rate": 7.740176132580997e-05, + "loss": 0.554, + "step": 16370 + }, + { + "epoch": 0.57, + "learning_rate": 7.73910445414097e-05, + "loss": 0.4377, + "step": 16371 + }, + { + "epoch": 0.57, + "learning_rate": 7.738032803065319e-05, + "loss": 0.5145, + "step": 16372 + }, + { + "epoch": 0.57, + "learning_rate": 7.736961179367008e-05, + "loss": 0.5352, + "step": 16373 + }, + { + "epoch": 0.57, + "learning_rate": 7.73588958305901e-05, + "loss": 0.5149, + "step": 16374 + }, + { + "epoch": 0.57, + "learning_rate": 7.734818014154299e-05, + "loss": 0.5553, + "step": 16375 + }, + { + "epoch": 0.57, + "learning_rate": 7.733746472665837e-05, + "loss": 0.4605, + "step": 16376 + }, + { + "epoch": 0.57, + "learning_rate": 7.7326749586066e-05, + "loss": 0.5722, + "step": 16377 + }, + { + "epoch": 0.57, + "learning_rate": 7.731603471989554e-05, + "loss": 0.53, + "step": 16378 + }, + { + "epoch": 0.57, + "learning_rate": 7.730532012827665e-05, + "loss": 0.537, + "step": 16379 + }, + { + "epoch": 0.57, + "learning_rate": 7.729460581133906e-05, + "loss": 0.5016, + "step": 16380 + }, + { + "epoch": 0.57, + "learning_rate": 7.728389176921243e-05, + "loss": 0.5516, + "step": 16381 + }, + { + "epoch": 0.57, + "learning_rate": 7.72731780020264e-05, + "loss": 0.4698, + "step": 16382 + }, + { + "epoch": 0.57, + "learning_rate": 7.726246450991071e-05, + "loss": 0.4899, + "step": 16383 + }, + { + "epoch": 0.57, + "learning_rate": 7.725175129299498e-05, + "loss": 0.4868, + "step": 16384 + }, + { + "epoch": 0.57, + "learning_rate": 7.72410383514089e-05, + "loss": 0.5083, + "step": 16385 + }, + { + "epoch": 0.57, + "learning_rate": 7.723032568528213e-05, + "loss": 0.4359, + "step": 16386 + }, + { + "epoch": 0.57, + "learning_rate": 7.721961329474432e-05, + "loss": 0.516, + "step": 16387 + }, + { + "epoch": 0.57, + "learning_rate": 7.72089011799251e-05, + "loss": 0.5477, + "step": 16388 + }, + { + "epoch": 0.57, + "learning_rate": 7.719818934095416e-05, + "loss": 0.5489, + "step": 16389 + }, + { + "epoch": 0.57, + "learning_rate": 7.718747777796115e-05, + "loss": 0.4892, + "step": 16390 + }, + { + "epoch": 0.57, + "learning_rate": 7.717676649107568e-05, + "loss": 0.6923, + "step": 16391 + }, + { + "epoch": 0.57, + "learning_rate": 7.716605548042743e-05, + "loss": 0.4815, + "step": 16392 + }, + { + "epoch": 0.57, + "learning_rate": 7.715534474614601e-05, + "loss": 0.5186, + "step": 16393 + }, + { + "epoch": 0.57, + "learning_rate": 7.714463428836108e-05, + "loss": 0.561, + "step": 16394 + }, + { + "epoch": 0.57, + "learning_rate": 7.713392410720227e-05, + "loss": 0.5681, + "step": 16395 + }, + { + "epoch": 0.57, + "learning_rate": 7.712321420279919e-05, + "loss": 0.5771, + "step": 16396 + }, + { + "epoch": 0.57, + "learning_rate": 7.711250457528149e-05, + "loss": 0.5098, + "step": 16397 + }, + { + "epoch": 0.57, + "learning_rate": 7.710179522477877e-05, + "loss": 0.4929, + "step": 16398 + }, + { + "epoch": 0.57, + "learning_rate": 7.709108615142064e-05, + "loss": 0.493, + "step": 16399 + }, + { + "epoch": 0.57, + "learning_rate": 7.708037735533676e-05, + "loss": 0.4835, + "step": 16400 + }, + { + "epoch": 0.57, + "eval_loss": 0.5048079490661621, + "eval_runtime": 854.406, + "eval_samples_per_second": 28.16, + "eval_steps_per_second": 14.08, + "step": 16400 + }, + { + "epoch": 0.57, + "learning_rate": 7.706966883665669e-05, + "loss": 0.5429, + "step": 16401 + }, + { + "epoch": 0.57, + "learning_rate": 7.70589605955101e-05, + "loss": 0.5375, + "step": 16402 + }, + { + "epoch": 0.57, + "learning_rate": 7.704825263202654e-05, + "loss": 0.5409, + "step": 16403 + }, + { + "epoch": 0.57, + "learning_rate": 7.703754494633562e-05, + "loss": 0.6105, + "step": 16404 + }, + { + "epoch": 0.57, + "learning_rate": 7.702683753856696e-05, + "loss": 0.5473, + "step": 16405 + }, + { + "epoch": 0.57, + "learning_rate": 7.701613040885014e-05, + "loss": 0.4377, + "step": 16406 + }, + { + "epoch": 0.57, + "learning_rate": 7.700542355731478e-05, + "loss": 0.5017, + "step": 16407 + }, + { + "epoch": 0.57, + "learning_rate": 7.699471698409044e-05, + "loss": 0.5488, + "step": 16408 + }, + { + "epoch": 0.57, + "learning_rate": 7.698401068930668e-05, + "loss": 0.5275, + "step": 16409 + }, + { + "epoch": 0.57, + "learning_rate": 7.697330467309315e-05, + "loss": 0.4413, + "step": 16410 + }, + { + "epoch": 0.57, + "learning_rate": 7.696259893557937e-05, + "loss": 0.4977, + "step": 16411 + }, + { + "epoch": 0.57, + "learning_rate": 7.695189347689496e-05, + "loss": 0.4585, + "step": 16412 + }, + { + "epoch": 0.57, + "learning_rate": 7.694118829716945e-05, + "loss": 0.4818, + "step": 16413 + }, + { + "epoch": 0.57, + "learning_rate": 7.693048339653242e-05, + "loss": 0.598, + "step": 16414 + }, + { + "epoch": 0.57, + "learning_rate": 7.691977877511346e-05, + "loss": 0.5399, + "step": 16415 + }, + { + "epoch": 0.57, + "learning_rate": 7.690907443304212e-05, + "loss": 0.4596, + "step": 16416 + }, + { + "epoch": 0.57, + "learning_rate": 7.689837037044791e-05, + "loss": 0.4595, + "step": 16417 + }, + { + "epoch": 0.57, + "learning_rate": 7.688766658746047e-05, + "loss": 0.477, + "step": 16418 + }, + { + "epoch": 0.57, + "learning_rate": 7.687696308420928e-05, + "loss": 0.5074, + "step": 16419 + }, + { + "epoch": 0.57, + "learning_rate": 7.686625986082393e-05, + "loss": 0.4202, + "step": 16420 + }, + { + "epoch": 0.57, + "learning_rate": 7.685555691743396e-05, + "loss": 0.4978, + "step": 16421 + }, + { + "epoch": 0.57, + "learning_rate": 7.684485425416888e-05, + "loss": 0.5547, + "step": 16422 + }, + { + "epoch": 0.57, + "learning_rate": 7.683415187115827e-05, + "loss": 0.5791, + "step": 16423 + }, + { + "epoch": 0.57, + "learning_rate": 7.682344976853162e-05, + "loss": 0.4661, + "step": 16424 + }, + { + "epoch": 0.57, + "learning_rate": 7.68127479464185e-05, + "loss": 0.4868, + "step": 16425 + }, + { + "epoch": 0.57, + "learning_rate": 7.680204640494845e-05, + "loss": 0.4724, + "step": 16426 + }, + { + "epoch": 0.57, + "learning_rate": 7.679134514425092e-05, + "loss": 0.5421, + "step": 16427 + }, + { + "epoch": 0.57, + "learning_rate": 7.678064416445552e-05, + "loss": 0.4133, + "step": 16428 + }, + { + "epoch": 0.57, + "learning_rate": 7.67699434656917e-05, + "loss": 0.4728, + "step": 16429 + }, + { + "epoch": 0.57, + "learning_rate": 7.675924304808901e-05, + "loss": 0.5308, + "step": 16430 + }, + { + "epoch": 0.57, + "learning_rate": 7.674854291177695e-05, + "loss": 0.5388, + "step": 16431 + }, + { + "epoch": 0.58, + "learning_rate": 7.673784305688501e-05, + "loss": 0.5277, + "step": 16432 + }, + { + "epoch": 0.58, + "learning_rate": 7.672714348354275e-05, + "loss": 0.4654, + "step": 16433 + }, + { + "epoch": 0.58, + "learning_rate": 7.671644419187962e-05, + "loss": 0.617, + "step": 16434 + }, + { + "epoch": 0.58, + "learning_rate": 7.67057451820251e-05, + "loss": 0.47, + "step": 16435 + }, + { + "epoch": 0.58, + "learning_rate": 7.669504645410874e-05, + "loss": 0.4653, + "step": 16436 + }, + { + "epoch": 0.58, + "learning_rate": 7.668434800826e-05, + "loss": 0.4983, + "step": 16437 + }, + { + "epoch": 0.58, + "learning_rate": 7.667364984460837e-05, + "loss": 0.6124, + "step": 16438 + }, + { + "epoch": 0.58, + "learning_rate": 7.666295196328334e-05, + "loss": 0.5101, + "step": 16439 + }, + { + "epoch": 0.58, + "learning_rate": 7.665225436441436e-05, + "loss": 0.5042, + "step": 16440 + }, + { + "epoch": 0.58, + "learning_rate": 7.664155704813096e-05, + "loss": 0.5717, + "step": 16441 + }, + { + "epoch": 0.58, + "learning_rate": 7.663086001456257e-05, + "loss": 0.5796, + "step": 16442 + }, + { + "epoch": 0.58, + "learning_rate": 7.662016326383868e-05, + "loss": 0.5591, + "step": 16443 + }, + { + "epoch": 0.58, + "learning_rate": 7.660946679608876e-05, + "loss": 0.4412, + "step": 16444 + }, + { + "epoch": 0.58, + "learning_rate": 7.659877061144223e-05, + "loss": 0.5388, + "step": 16445 + }, + { + "epoch": 0.58, + "learning_rate": 7.658807471002862e-05, + "loss": 0.5316, + "step": 16446 + }, + { + "epoch": 0.58, + "learning_rate": 7.657737909197733e-05, + "loss": 0.5169, + "step": 16447 + }, + { + "epoch": 0.58, + "learning_rate": 7.656668375741782e-05, + "loss": 0.5035, + "step": 16448 + }, + { + "epoch": 0.58, + "learning_rate": 7.655598870647958e-05, + "loss": 0.6289, + "step": 16449 + }, + { + "epoch": 0.58, + "learning_rate": 7.654529393929198e-05, + "loss": 0.6063, + "step": 16450 + }, + { + "epoch": 0.58, + "learning_rate": 7.653459945598456e-05, + "loss": 0.498, + "step": 16451 + }, + { + "epoch": 0.58, + "learning_rate": 7.65239052566867e-05, + "loss": 0.5104, + "step": 16452 + }, + { + "epoch": 0.58, + "learning_rate": 7.65132113415278e-05, + "loss": 0.4486, + "step": 16453 + }, + { + "epoch": 0.58, + "learning_rate": 7.650251771063736e-05, + "loss": 0.5387, + "step": 16454 + }, + { + "epoch": 0.58, + "learning_rate": 7.649182436414479e-05, + "loss": 0.517, + "step": 16455 + }, + { + "epoch": 0.58, + "learning_rate": 7.64811313021795e-05, + "loss": 0.5266, + "step": 16456 + }, + { + "epoch": 0.58, + "learning_rate": 7.647043852487093e-05, + "loss": 0.4935, + "step": 16457 + }, + { + "epoch": 0.58, + "learning_rate": 7.645974603234847e-05, + "loss": 0.457, + "step": 16458 + }, + { + "epoch": 0.58, + "learning_rate": 7.644905382474158e-05, + "loss": 0.568, + "step": 16459 + }, + { + "epoch": 0.58, + "learning_rate": 7.643836190217961e-05, + "loss": 0.4863, + "step": 16460 + }, + { + "epoch": 0.58, + "learning_rate": 7.642767026479202e-05, + "loss": 0.4493, + "step": 16461 + }, + { + "epoch": 0.58, + "learning_rate": 7.641697891270823e-05, + "loss": 0.4632, + "step": 16462 + }, + { + "epoch": 0.58, + "learning_rate": 7.640628784605755e-05, + "loss": 0.5535, + "step": 16463 + }, + { + "epoch": 0.58, + "learning_rate": 7.639559706496948e-05, + "loss": 0.4448, + "step": 16464 + }, + { + "epoch": 0.58, + "learning_rate": 7.638490656957335e-05, + "loss": 0.4769, + "step": 16465 + }, + { + "epoch": 0.58, + "learning_rate": 7.637421635999856e-05, + "loss": 0.4737, + "step": 16466 + }, + { + "epoch": 0.58, + "learning_rate": 7.636352643637453e-05, + "loss": 0.6289, + "step": 16467 + }, + { + "epoch": 0.58, + "learning_rate": 7.63528367988306e-05, + "loss": 0.6232, + "step": 16468 + }, + { + "epoch": 0.58, + "learning_rate": 7.63421474474962e-05, + "loss": 0.4728, + "step": 16469 + }, + { + "epoch": 0.58, + "learning_rate": 7.633145838250067e-05, + "loss": 0.5767, + "step": 16470 + }, + { + "epoch": 0.58, + "learning_rate": 7.632076960397336e-05, + "loss": 0.5561, + "step": 16471 + }, + { + "epoch": 0.58, + "learning_rate": 7.631008111204371e-05, + "loss": 0.4252, + "step": 16472 + }, + { + "epoch": 0.58, + "learning_rate": 7.629939290684101e-05, + "loss": 0.5294, + "step": 16473 + }, + { + "epoch": 0.58, + "learning_rate": 7.628870498849469e-05, + "loss": 0.6928, + "step": 16474 + }, + { + "epoch": 0.58, + "learning_rate": 7.627801735713409e-05, + "loss": 0.4825, + "step": 16475 + }, + { + "epoch": 0.58, + "learning_rate": 7.626733001288851e-05, + "loss": 0.5793, + "step": 16476 + }, + { + "epoch": 0.58, + "learning_rate": 7.62566429558874e-05, + "loss": 0.5711, + "step": 16477 + }, + { + "epoch": 0.58, + "learning_rate": 7.624595618626004e-05, + "loss": 0.5846, + "step": 16478 + }, + { + "epoch": 0.58, + "learning_rate": 7.623526970413577e-05, + "loss": 0.6042, + "step": 16479 + }, + { + "epoch": 0.58, + "learning_rate": 7.622458350964397e-05, + "loss": 0.4996, + "step": 16480 + }, + { + "epoch": 0.58, + "learning_rate": 7.621389760291396e-05, + "loss": 0.6627, + "step": 16481 + }, + { + "epoch": 0.58, + "learning_rate": 7.62032119840751e-05, + "loss": 0.5162, + "step": 16482 + }, + { + "epoch": 0.58, + "learning_rate": 7.61925266532567e-05, + "loss": 0.4911, + "step": 16483 + }, + { + "epoch": 0.58, + "learning_rate": 7.618184161058805e-05, + "loss": 0.5476, + "step": 16484 + }, + { + "epoch": 0.58, + "learning_rate": 7.617115685619855e-05, + "loss": 0.6318, + "step": 16485 + }, + { + "epoch": 0.58, + "learning_rate": 7.616047239021745e-05, + "loss": 0.5614, + "step": 16486 + }, + { + "epoch": 0.58, + "learning_rate": 7.614978821277414e-05, + "loss": 0.464, + "step": 16487 + }, + { + "epoch": 0.58, + "learning_rate": 7.613910432399788e-05, + "loss": 0.5448, + "step": 16488 + }, + { + "epoch": 0.58, + "learning_rate": 7.612842072401798e-05, + "loss": 0.4617, + "step": 16489 + }, + { + "epoch": 0.58, + "learning_rate": 7.61177374129638e-05, + "loss": 0.5489, + "step": 16490 + }, + { + "epoch": 0.58, + "learning_rate": 7.610705439096456e-05, + "loss": 0.4623, + "step": 16491 + }, + { + "epoch": 0.58, + "learning_rate": 7.609637165814965e-05, + "loss": 0.4935, + "step": 16492 + }, + { + "epoch": 0.58, + "learning_rate": 7.608568921464831e-05, + "loss": 0.4949, + "step": 16493 + }, + { + "epoch": 0.58, + "learning_rate": 7.607500706058984e-05, + "loss": 0.5165, + "step": 16494 + }, + { + "epoch": 0.58, + "learning_rate": 7.606432519610356e-05, + "loss": 0.4996, + "step": 16495 + }, + { + "epoch": 0.58, + "learning_rate": 7.605364362131873e-05, + "loss": 0.4826, + "step": 16496 + }, + { + "epoch": 0.58, + "learning_rate": 7.60429623363646e-05, + "loss": 0.5433, + "step": 16497 + }, + { + "epoch": 0.58, + "learning_rate": 7.603228134137052e-05, + "loss": 0.5665, + "step": 16498 + }, + { + "epoch": 0.58, + "learning_rate": 7.60216006364657e-05, + "loss": 0.556, + "step": 16499 + }, + { + "epoch": 0.58, + "learning_rate": 7.601092022177949e-05, + "loss": 0.4912, + "step": 16500 + }, + { + "epoch": 0.58, + "learning_rate": 7.600024009744109e-05, + "loss": 0.5623, + "step": 16501 + }, + { + "epoch": 0.58, + "learning_rate": 7.598956026357976e-05, + "loss": 0.6234, + "step": 16502 + }, + { + "epoch": 0.58, + "learning_rate": 7.597888072032482e-05, + "loss": 0.551, + "step": 16503 + }, + { + "epoch": 0.58, + "learning_rate": 7.596820146780548e-05, + "loss": 0.4881, + "step": 16504 + }, + { + "epoch": 0.58, + "learning_rate": 7.595752250615102e-05, + "loss": 0.4831, + "step": 16505 + }, + { + "epoch": 0.58, + "learning_rate": 7.59468438354907e-05, + "loss": 0.4882, + "step": 16506 + }, + { + "epoch": 0.58, + "learning_rate": 7.59361654559537e-05, + "loss": 0.5793, + "step": 16507 + }, + { + "epoch": 0.58, + "learning_rate": 7.592548736766936e-05, + "loss": 0.5465, + "step": 16508 + }, + { + "epoch": 0.58, + "learning_rate": 7.591480957076685e-05, + "loss": 0.504, + "step": 16509 + }, + { + "epoch": 0.58, + "learning_rate": 7.590413206537544e-05, + "loss": 0.551, + "step": 16510 + }, + { + "epoch": 0.58, + "learning_rate": 7.589345485162436e-05, + "loss": 0.5714, + "step": 16511 + }, + { + "epoch": 0.58, + "learning_rate": 7.588277792964281e-05, + "loss": 0.4556, + "step": 16512 + }, + { + "epoch": 0.58, + "learning_rate": 7.587210129956007e-05, + "loss": 0.5416, + "step": 16513 + }, + { + "epoch": 0.58, + "learning_rate": 7.586142496150533e-05, + "loss": 0.5157, + "step": 16514 + }, + { + "epoch": 0.58, + "learning_rate": 7.585074891560779e-05, + "loss": 0.4973, + "step": 16515 + }, + { + "epoch": 0.58, + "learning_rate": 7.58400731619967e-05, + "loss": 0.5091, + "step": 16516 + }, + { + "epoch": 0.58, + "learning_rate": 7.582939770080127e-05, + "loss": 0.5568, + "step": 16517 + }, + { + "epoch": 0.58, + "learning_rate": 7.581872253215069e-05, + "loss": 0.5285, + "step": 16518 + }, + { + "epoch": 0.58, + "learning_rate": 7.580804765617419e-05, + "loss": 0.4957, + "step": 16519 + }, + { + "epoch": 0.58, + "learning_rate": 7.579737307300092e-05, + "loss": 0.453, + "step": 16520 + }, + { + "epoch": 0.58, + "learning_rate": 7.578669878276017e-05, + "loss": 0.4171, + "step": 16521 + }, + { + "epoch": 0.58, + "learning_rate": 7.577602478558106e-05, + "loss": 0.6152, + "step": 16522 + }, + { + "epoch": 0.58, + "learning_rate": 7.57653510815928e-05, + "loss": 0.4896, + "step": 16523 + }, + { + "epoch": 0.58, + "learning_rate": 7.575467767092454e-05, + "loss": 0.4313, + "step": 16524 + }, + { + "epoch": 0.58, + "learning_rate": 7.574400455370553e-05, + "loss": 0.5332, + "step": 16525 + }, + { + "epoch": 0.58, + "learning_rate": 7.573333173006489e-05, + "loss": 0.5608, + "step": 16526 + }, + { + "epoch": 0.58, + "learning_rate": 7.572265920013186e-05, + "loss": 0.5339, + "step": 16527 + }, + { + "epoch": 0.58, + "learning_rate": 7.571198696403558e-05, + "loss": 0.4548, + "step": 16528 + }, + { + "epoch": 0.58, + "learning_rate": 7.570131502190521e-05, + "loss": 0.484, + "step": 16529 + }, + { + "epoch": 0.58, + "learning_rate": 7.569064337386994e-05, + "loss": 0.4975, + "step": 16530 + }, + { + "epoch": 0.58, + "learning_rate": 7.567997202005892e-05, + "loss": 0.4156, + "step": 16531 + }, + { + "epoch": 0.58, + "learning_rate": 7.566930096060127e-05, + "loss": 0.4783, + "step": 16532 + }, + { + "epoch": 0.58, + "learning_rate": 7.565863019562622e-05, + "loss": 0.5082, + "step": 16533 + }, + { + "epoch": 0.58, + "learning_rate": 7.564795972526286e-05, + "loss": 0.4277, + "step": 16534 + }, + { + "epoch": 0.58, + "learning_rate": 7.56372895496404e-05, + "loss": 0.5073, + "step": 16535 + }, + { + "epoch": 0.58, + "learning_rate": 7.562661966888794e-05, + "loss": 0.5, + "step": 16536 + }, + { + "epoch": 0.58, + "learning_rate": 7.56159500831346e-05, + "loss": 0.5216, + "step": 16537 + }, + { + "epoch": 0.58, + "learning_rate": 7.560528079250957e-05, + "loss": 0.4986, + "step": 16538 + }, + { + "epoch": 0.58, + "learning_rate": 7.559461179714194e-05, + "loss": 0.4499, + "step": 16539 + }, + { + "epoch": 0.58, + "learning_rate": 7.558394309716088e-05, + "loss": 0.5009, + "step": 16540 + }, + { + "epoch": 0.58, + "learning_rate": 7.55732746926955e-05, + "loss": 0.5603, + "step": 16541 + }, + { + "epoch": 0.58, + "learning_rate": 7.55626065838749e-05, + "loss": 0.4934, + "step": 16542 + }, + { + "epoch": 0.58, + "learning_rate": 7.555193877082825e-05, + "loss": 0.5257, + "step": 16543 + }, + { + "epoch": 0.58, + "learning_rate": 7.554127125368462e-05, + "loss": 0.5285, + "step": 16544 + }, + { + "epoch": 0.58, + "learning_rate": 7.553060403257315e-05, + "loss": 0.4224, + "step": 16545 + }, + { + "epoch": 0.58, + "learning_rate": 7.551993710762295e-05, + "loss": 0.4411, + "step": 16546 + }, + { + "epoch": 0.58, + "learning_rate": 7.550927047896308e-05, + "loss": 0.4503, + "step": 16547 + }, + { + "epoch": 0.58, + "learning_rate": 7.54986041467227e-05, + "loss": 0.4788, + "step": 16548 + }, + { + "epoch": 0.58, + "learning_rate": 7.548793811103089e-05, + "loss": 0.4729, + "step": 16549 + }, + { + "epoch": 0.58, + "learning_rate": 7.54772723720167e-05, + "loss": 0.497, + "step": 16550 + }, + { + "epoch": 0.58, + "learning_rate": 7.54666069298093e-05, + "loss": 0.5303, + "step": 16551 + }, + { + "epoch": 0.58, + "learning_rate": 7.545594178453771e-05, + "loss": 0.5518, + "step": 16552 + }, + { + "epoch": 0.58, + "learning_rate": 7.544527693633107e-05, + "loss": 0.5503, + "step": 16553 + }, + { + "epoch": 0.58, + "learning_rate": 7.543461238531841e-05, + "loss": 0.5212, + "step": 16554 + }, + { + "epoch": 0.58, + "learning_rate": 7.542394813162883e-05, + "loss": 0.5333, + "step": 16555 + }, + { + "epoch": 0.58, + "learning_rate": 7.541328417539141e-05, + "loss": 0.4443, + "step": 16556 + }, + { + "epoch": 0.58, + "learning_rate": 7.540262051673518e-05, + "loss": 0.484, + "step": 16557 + }, + { + "epoch": 0.58, + "learning_rate": 7.539195715578928e-05, + "loss": 0.5787, + "step": 16558 + }, + { + "epoch": 0.58, + "learning_rate": 7.53812940926827e-05, + "loss": 0.5548, + "step": 16559 + }, + { + "epoch": 0.58, + "learning_rate": 7.537063132754453e-05, + "loss": 0.512, + "step": 16560 + }, + { + "epoch": 0.58, + "learning_rate": 7.535996886050382e-05, + "loss": 0.547, + "step": 16561 + }, + { + "epoch": 0.58, + "learning_rate": 7.534930669168962e-05, + "loss": 0.4611, + "step": 16562 + }, + { + "epoch": 0.58, + "learning_rate": 7.5338644821231e-05, + "loss": 0.4607, + "step": 16563 + }, + { + "epoch": 0.58, + "learning_rate": 7.532798324925699e-05, + "loss": 0.5147, + "step": 16564 + }, + { + "epoch": 0.58, + "learning_rate": 7.531732197589658e-05, + "loss": 0.5377, + "step": 16565 + }, + { + "epoch": 0.58, + "learning_rate": 7.53066610012789e-05, + "loss": 0.4705, + "step": 16566 + }, + { + "epoch": 0.58, + "learning_rate": 7.529600032553293e-05, + "loss": 0.5619, + "step": 16567 + }, + { + "epoch": 0.58, + "learning_rate": 7.528533994878767e-05, + "loss": 0.5146, + "step": 16568 + }, + { + "epoch": 0.58, + "learning_rate": 7.527467987117222e-05, + "loss": 0.5533, + "step": 16569 + }, + { + "epoch": 0.58, + "learning_rate": 7.526402009281553e-05, + "loss": 0.4895, + "step": 16570 + }, + { + "epoch": 0.58, + "learning_rate": 7.525336061384669e-05, + "loss": 0.4903, + "step": 16571 + }, + { + "epoch": 0.58, + "learning_rate": 7.524270143439467e-05, + "loss": 0.5431, + "step": 16572 + }, + { + "epoch": 0.58, + "learning_rate": 7.523204255458846e-05, + "loss": 0.4443, + "step": 16573 + }, + { + "epoch": 0.58, + "learning_rate": 7.522138397455712e-05, + "loss": 0.6255, + "step": 16574 + }, + { + "epoch": 0.58, + "learning_rate": 7.521072569442963e-05, + "loss": 0.423, + "step": 16575 + }, + { + "epoch": 0.58, + "learning_rate": 7.520006771433499e-05, + "loss": 0.5008, + "step": 16576 + }, + { + "epoch": 0.58, + "learning_rate": 7.518941003440223e-05, + "loss": 0.3986, + "step": 16577 + }, + { + "epoch": 0.58, + "learning_rate": 7.517875265476027e-05, + "loss": 0.4623, + "step": 16578 + }, + { + "epoch": 0.58, + "learning_rate": 7.516809557553816e-05, + "loss": 0.5805, + "step": 16579 + }, + { + "epoch": 0.58, + "learning_rate": 7.515743879686488e-05, + "loss": 0.4734, + "step": 16580 + }, + { + "epoch": 0.58, + "learning_rate": 7.514678231886938e-05, + "loss": 0.4332, + "step": 16581 + }, + { + "epoch": 0.58, + "learning_rate": 7.513612614168069e-05, + "loss": 0.5544, + "step": 16582 + }, + { + "epoch": 0.58, + "learning_rate": 7.512547026542771e-05, + "loss": 0.5762, + "step": 16583 + }, + { + "epoch": 0.58, + "learning_rate": 7.51148146902395e-05, + "loss": 0.4298, + "step": 16584 + }, + { + "epoch": 0.58, + "learning_rate": 7.510415941624498e-05, + "loss": 0.4511, + "step": 16585 + }, + { + "epoch": 0.58, + "learning_rate": 7.50935044435731e-05, + "loss": 0.5635, + "step": 16586 + }, + { + "epoch": 0.58, + "learning_rate": 7.508284977235286e-05, + "loss": 0.3673, + "step": 16587 + }, + { + "epoch": 0.58, + "learning_rate": 7.507219540271318e-05, + "loss": 0.5283, + "step": 16588 + }, + { + "epoch": 0.58, + "learning_rate": 7.506154133478305e-05, + "loss": 0.5027, + "step": 16589 + }, + { + "epoch": 0.58, + "learning_rate": 7.50508875686914e-05, + "loss": 0.4666, + "step": 16590 + }, + { + "epoch": 0.58, + "learning_rate": 7.504023410456715e-05, + "loss": 0.4966, + "step": 16591 + }, + { + "epoch": 0.58, + "learning_rate": 7.50295809425393e-05, + "loss": 0.5682, + "step": 16592 + }, + { + "epoch": 0.58, + "learning_rate": 7.501892808273674e-05, + "loss": 0.5019, + "step": 16593 + }, + { + "epoch": 0.58, + "learning_rate": 7.500827552528844e-05, + "loss": 0.5507, + "step": 16594 + }, + { + "epoch": 0.58, + "learning_rate": 7.499762327032332e-05, + "loss": 0.5104, + "step": 16595 + }, + { + "epoch": 0.58, + "learning_rate": 7.498697131797027e-05, + "loss": 0.5372, + "step": 16596 + }, + { + "epoch": 0.58, + "learning_rate": 7.497631966835828e-05, + "loss": 0.5198, + "step": 16597 + }, + { + "epoch": 0.58, + "learning_rate": 7.496566832161623e-05, + "loss": 0.5638, + "step": 16598 + }, + { + "epoch": 0.58, + "learning_rate": 7.495501727787302e-05, + "loss": 0.4908, + "step": 16599 + }, + { + "epoch": 0.58, + "learning_rate": 7.494436653725761e-05, + "loss": 0.4951, + "step": 16600 + }, + { + "epoch": 0.58, + "eval_loss": 0.5016784071922302, + "eval_runtime": 845.5774, + "eval_samples_per_second": 28.454, + "eval_steps_per_second": 14.227, + "step": 16600 + }, + { + "epoch": 0.58, + "learning_rate": 7.493371609989887e-05, + "loss": 0.5129, + "step": 16601 + }, + { + "epoch": 0.58, + "learning_rate": 7.492306596592573e-05, + "loss": 0.397, + "step": 16602 + }, + { + "epoch": 0.58, + "learning_rate": 7.49124161354671e-05, + "loss": 0.6718, + "step": 16603 + }, + { + "epoch": 0.58, + "learning_rate": 7.490176660865185e-05, + "loss": 0.468, + "step": 16604 + }, + { + "epoch": 0.58, + "learning_rate": 7.489111738560888e-05, + "loss": 0.495, + "step": 16605 + }, + { + "epoch": 0.58, + "learning_rate": 7.488046846646709e-05, + "loss": 0.4466, + "step": 16606 + }, + { + "epoch": 0.58, + "learning_rate": 7.486981985135537e-05, + "loss": 0.4888, + "step": 16607 + }, + { + "epoch": 0.58, + "learning_rate": 7.485917154040263e-05, + "loss": 0.5604, + "step": 16608 + }, + { + "epoch": 0.58, + "learning_rate": 7.484852353373767e-05, + "loss": 0.4948, + "step": 16609 + }, + { + "epoch": 0.58, + "learning_rate": 7.483787583148945e-05, + "loss": 0.5538, + "step": 16610 + }, + { + "epoch": 0.58, + "learning_rate": 7.482722843378677e-05, + "loss": 0.4846, + "step": 16611 + }, + { + "epoch": 0.58, + "learning_rate": 7.48165813407586e-05, + "loss": 0.4615, + "step": 16612 + }, + { + "epoch": 0.58, + "learning_rate": 7.480593455253371e-05, + "loss": 0.483, + "step": 16613 + }, + { + "epoch": 0.58, + "learning_rate": 7.479528806924099e-05, + "loss": 0.4946, + "step": 16614 + }, + { + "epoch": 0.58, + "learning_rate": 7.47846418910093e-05, + "loss": 0.5085, + "step": 16615 + }, + { + "epoch": 0.58, + "learning_rate": 7.477399601796752e-05, + "loss": 0.5663, + "step": 16616 + }, + { + "epoch": 0.58, + "learning_rate": 7.476335045024446e-05, + "loss": 0.5846, + "step": 16617 + }, + { + "epoch": 0.58, + "learning_rate": 7.475270518796899e-05, + "loss": 0.3846, + "step": 16618 + }, + { + "epoch": 0.58, + "learning_rate": 7.474206023126993e-05, + "loss": 0.6151, + "step": 16619 + }, + { + "epoch": 0.58, + "learning_rate": 7.473141558027617e-05, + "loss": 0.5836, + "step": 16620 + }, + { + "epoch": 0.58, + "learning_rate": 7.472077123511649e-05, + "loss": 0.5794, + "step": 16621 + }, + { + "epoch": 0.58, + "learning_rate": 7.471012719591974e-05, + "loss": 0.516, + "step": 16622 + }, + { + "epoch": 0.58, + "learning_rate": 7.469948346281477e-05, + "loss": 0.5499, + "step": 16623 + }, + { + "epoch": 0.58, + "learning_rate": 7.468884003593037e-05, + "loss": 0.524, + "step": 16624 + }, + { + "epoch": 0.58, + "learning_rate": 7.46781969153954e-05, + "loss": 0.4377, + "step": 16625 + }, + { + "epoch": 0.58, + "learning_rate": 7.466755410133866e-05, + "loss": 0.5418, + "step": 16626 + }, + { + "epoch": 0.58, + "learning_rate": 7.465691159388893e-05, + "loss": 0.5816, + "step": 16627 + }, + { + "epoch": 0.58, + "learning_rate": 7.464626939317509e-05, + "loss": 0.5452, + "step": 16628 + }, + { + "epoch": 0.58, + "learning_rate": 7.463562749932586e-05, + "loss": 0.4431, + "step": 16629 + }, + { + "epoch": 0.58, + "learning_rate": 7.462498591247011e-05, + "loss": 0.4663, + "step": 16630 + }, + { + "epoch": 0.58, + "learning_rate": 7.461434463273664e-05, + "loss": 0.5492, + "step": 16631 + }, + { + "epoch": 0.58, + "learning_rate": 7.460370366025419e-05, + "loss": 0.4791, + "step": 16632 + }, + { + "epoch": 0.58, + "learning_rate": 7.45930629951516e-05, + "loss": 0.555, + "step": 16633 + }, + { + "epoch": 0.58, + "learning_rate": 7.458242263755764e-05, + "loss": 0.4596, + "step": 16634 + }, + { + "epoch": 0.58, + "learning_rate": 7.457178258760107e-05, + "loss": 0.6127, + "step": 16635 + }, + { + "epoch": 0.58, + "learning_rate": 7.456114284541073e-05, + "loss": 0.568, + "step": 16636 + }, + { + "epoch": 0.58, + "learning_rate": 7.455050341111532e-05, + "loss": 0.5083, + "step": 16637 + }, + { + "epoch": 0.58, + "learning_rate": 7.453986428484368e-05, + "loss": 0.4366, + "step": 16638 + }, + { + "epoch": 0.58, + "learning_rate": 7.452922546672456e-05, + "loss": 0.5752, + "step": 16639 + }, + { + "epoch": 0.58, + "learning_rate": 7.45185869568867e-05, + "loss": 0.6, + "step": 16640 + }, + { + "epoch": 0.58, + "learning_rate": 7.450794875545889e-05, + "loss": 0.5539, + "step": 16641 + }, + { + "epoch": 0.58, + "learning_rate": 7.449731086256986e-05, + "loss": 0.5754, + "step": 16642 + }, + { + "epoch": 0.58, + "learning_rate": 7.44866732783484e-05, + "loss": 0.62, + "step": 16643 + }, + { + "epoch": 0.58, + "learning_rate": 7.447603600292323e-05, + "loss": 0.6322, + "step": 16644 + }, + { + "epoch": 0.58, + "learning_rate": 7.446539903642311e-05, + "loss": 0.5371, + "step": 16645 + }, + { + "epoch": 0.58, + "learning_rate": 7.445476237897678e-05, + "loss": 0.5043, + "step": 16646 + }, + { + "epoch": 0.58, + "learning_rate": 7.444412603071299e-05, + "loss": 0.5566, + "step": 16647 + }, + { + "epoch": 0.58, + "learning_rate": 7.443348999176045e-05, + "loss": 0.5209, + "step": 16648 + }, + { + "epoch": 0.58, + "learning_rate": 7.442285426224791e-05, + "loss": 0.5357, + "step": 16649 + }, + { + "epoch": 0.58, + "learning_rate": 7.441221884230407e-05, + "loss": 0.5543, + "step": 16650 + }, + { + "epoch": 0.58, + "learning_rate": 7.440158373205771e-05, + "loss": 0.4981, + "step": 16651 + }, + { + "epoch": 0.58, + "learning_rate": 7.439094893163752e-05, + "loss": 0.4195, + "step": 16652 + }, + { + "epoch": 0.58, + "learning_rate": 7.43803144411722e-05, + "loss": 0.5423, + "step": 16653 + }, + { + "epoch": 0.58, + "learning_rate": 7.436968026079048e-05, + "loss": 0.4641, + "step": 16654 + }, + { + "epoch": 0.58, + "learning_rate": 7.435904639062105e-05, + "loss": 0.5169, + "step": 16655 + }, + { + "epoch": 0.58, + "learning_rate": 7.43484128307927e-05, + "loss": 0.4861, + "step": 16656 + }, + { + "epoch": 0.58, + "learning_rate": 7.4337779581434e-05, + "loss": 0.5642, + "step": 16657 + }, + { + "epoch": 0.58, + "learning_rate": 7.432714664267373e-05, + "loss": 0.6082, + "step": 16658 + }, + { + "epoch": 0.58, + "learning_rate": 7.431651401464054e-05, + "loss": 0.5046, + "step": 16659 + }, + { + "epoch": 0.58, + "learning_rate": 7.430588169746317e-05, + "loss": 0.5061, + "step": 16660 + }, + { + "epoch": 0.58, + "learning_rate": 7.429524969127027e-05, + "loss": 0.5472, + "step": 16661 + }, + { + "epoch": 0.58, + "learning_rate": 7.428461799619053e-05, + "loss": 0.4815, + "step": 16662 + }, + { + "epoch": 0.58, + "learning_rate": 7.427398661235266e-05, + "loss": 0.511, + "step": 16663 + }, + { + "epoch": 0.58, + "learning_rate": 7.426335553988526e-05, + "loss": 0.5648, + "step": 16664 + }, + { + "epoch": 0.58, + "learning_rate": 7.425272477891709e-05, + "loss": 0.5993, + "step": 16665 + }, + { + "epoch": 0.58, + "learning_rate": 7.424209432957677e-05, + "loss": 0.5045, + "step": 16666 + }, + { + "epoch": 0.58, + "learning_rate": 7.423146419199296e-05, + "loss": 0.4981, + "step": 16667 + }, + { + "epoch": 0.58, + "learning_rate": 7.422083436629435e-05, + "loss": 0.4751, + "step": 16668 + }, + { + "epoch": 0.58, + "learning_rate": 7.421020485260956e-05, + "loss": 0.5596, + "step": 16669 + }, + { + "epoch": 0.58, + "learning_rate": 7.419957565106726e-05, + "loss": 0.6118, + "step": 16670 + }, + { + "epoch": 0.58, + "learning_rate": 7.41889467617961e-05, + "loss": 0.533, + "step": 16671 + }, + { + "epoch": 0.58, + "learning_rate": 7.417831818492473e-05, + "loss": 0.4621, + "step": 16672 + }, + { + "epoch": 0.58, + "learning_rate": 7.416768992058179e-05, + "loss": 0.5643, + "step": 16673 + }, + { + "epoch": 0.58, + "learning_rate": 7.415706196889592e-05, + "loss": 0.3765, + "step": 16674 + }, + { + "epoch": 0.58, + "learning_rate": 7.41464343299957e-05, + "loss": 0.5767, + "step": 16675 + }, + { + "epoch": 0.58, + "learning_rate": 7.413580700400986e-05, + "loss": 0.4564, + "step": 16676 + }, + { + "epoch": 0.58, + "learning_rate": 7.412517999106694e-05, + "loss": 0.5076, + "step": 16677 + }, + { + "epoch": 0.58, + "learning_rate": 7.411455329129562e-05, + "loss": 0.5378, + "step": 16678 + }, + { + "epoch": 0.58, + "learning_rate": 7.410392690482448e-05, + "loss": 0.4892, + "step": 16679 + }, + { + "epoch": 0.58, + "learning_rate": 7.409330083178214e-05, + "loss": 0.4971, + "step": 16680 + }, + { + "epoch": 0.58, + "learning_rate": 7.408267507229723e-05, + "loss": 0.5599, + "step": 16681 + }, + { + "epoch": 0.58, + "learning_rate": 7.407204962649834e-05, + "loss": 0.5843, + "step": 16682 + }, + { + "epoch": 0.58, + "learning_rate": 7.406142449451408e-05, + "loss": 0.5461, + "step": 16683 + }, + { + "epoch": 0.58, + "learning_rate": 7.405079967647305e-05, + "loss": 0.5984, + "step": 16684 + }, + { + "epoch": 0.58, + "learning_rate": 7.404017517250384e-05, + "loss": 0.6702, + "step": 16685 + }, + { + "epoch": 0.58, + "learning_rate": 7.402955098273506e-05, + "loss": 0.5129, + "step": 16686 + }, + { + "epoch": 0.58, + "learning_rate": 7.401892710729528e-05, + "loss": 0.5409, + "step": 16687 + }, + { + "epoch": 0.58, + "learning_rate": 7.400830354631306e-05, + "loss": 0.5583, + "step": 16688 + }, + { + "epoch": 0.58, + "learning_rate": 7.399768029991704e-05, + "loss": 0.505, + "step": 16689 + }, + { + "epoch": 0.58, + "learning_rate": 7.398705736823574e-05, + "loss": 0.4793, + "step": 16690 + }, + { + "epoch": 0.58, + "learning_rate": 7.397643475139779e-05, + "loss": 0.5091, + "step": 16691 + }, + { + "epoch": 0.58, + "learning_rate": 7.396581244953171e-05, + "loss": 0.5683, + "step": 16692 + }, + { + "epoch": 0.58, + "learning_rate": 7.395519046276609e-05, + "loss": 0.5315, + "step": 16693 + }, + { + "epoch": 0.58, + "learning_rate": 7.394456879122948e-05, + "loss": 0.429, + "step": 16694 + }, + { + "epoch": 0.58, + "learning_rate": 7.393394743505043e-05, + "loss": 0.618, + "step": 16695 + }, + { + "epoch": 0.58, + "learning_rate": 7.392332639435752e-05, + "loss": 0.519, + "step": 16696 + }, + { + "epoch": 0.58, + "learning_rate": 7.39127056692793e-05, + "loss": 0.4729, + "step": 16697 + }, + { + "epoch": 0.58, + "learning_rate": 7.390208525994427e-05, + "loss": 0.492, + "step": 16698 + }, + { + "epoch": 0.58, + "learning_rate": 7.389146516648105e-05, + "loss": 0.5156, + "step": 16699 + }, + { + "epoch": 0.58, + "learning_rate": 7.38808453890181e-05, + "loss": 0.4718, + "step": 16700 + }, + { + "epoch": 0.58, + "learning_rate": 7.387022592768397e-05, + "loss": 0.5296, + "step": 16701 + }, + { + "epoch": 0.58, + "learning_rate": 7.385960678260725e-05, + "loss": 0.5506, + "step": 16702 + }, + { + "epoch": 0.58, + "learning_rate": 7.384898795391639e-05, + "loss": 0.5031, + "step": 16703 + }, + { + "epoch": 0.58, + "learning_rate": 7.383836944173997e-05, + "loss": 0.5236, + "step": 16704 + }, + { + "epoch": 0.58, + "learning_rate": 7.38277512462065e-05, + "loss": 0.4506, + "step": 16705 + }, + { + "epoch": 0.58, + "learning_rate": 7.381713336744445e-05, + "loss": 0.568, + "step": 16706 + }, + { + "epoch": 0.58, + "learning_rate": 7.38065158055824e-05, + "loss": 0.4992, + "step": 16707 + }, + { + "epoch": 0.58, + "learning_rate": 7.379589856074879e-05, + "loss": 0.4471, + "step": 16708 + }, + { + "epoch": 0.58, + "learning_rate": 7.378528163307218e-05, + "loss": 0.4894, + "step": 16709 + }, + { + "epoch": 0.58, + "learning_rate": 7.377466502268105e-05, + "loss": 0.5199, + "step": 16710 + }, + { + "epoch": 0.58, + "learning_rate": 7.376404872970387e-05, + "loss": 0.5343, + "step": 16711 + }, + { + "epoch": 0.58, + "learning_rate": 7.375343275426918e-05, + "loss": 0.5369, + "step": 16712 + }, + { + "epoch": 0.58, + "learning_rate": 7.374281709650542e-05, + "loss": 0.4629, + "step": 16713 + }, + { + "epoch": 0.58, + "learning_rate": 7.373220175654113e-05, + "loss": 0.5043, + "step": 16714 + }, + { + "epoch": 0.58, + "learning_rate": 7.372158673450475e-05, + "loss": 0.4954, + "step": 16715 + }, + { + "epoch": 0.58, + "learning_rate": 7.371097203052477e-05, + "loss": 0.4661, + "step": 16716 + }, + { + "epoch": 0.58, + "learning_rate": 7.370035764472966e-05, + "loss": 0.5433, + "step": 16717 + }, + { + "epoch": 0.59, + "learning_rate": 7.368974357724789e-05, + "loss": 0.4519, + "step": 16718 + }, + { + "epoch": 0.59, + "learning_rate": 7.367912982820793e-05, + "loss": 0.4034, + "step": 16719 + }, + { + "epoch": 0.59, + "learning_rate": 7.366851639773822e-05, + "loss": 0.5036, + "step": 16720 + }, + { + "epoch": 0.59, + "learning_rate": 7.365790328596724e-05, + "loss": 0.4598, + "step": 16721 + }, + { + "epoch": 0.59, + "learning_rate": 7.364729049302347e-05, + "loss": 0.5359, + "step": 16722 + }, + { + "epoch": 0.59, + "learning_rate": 7.363667801903532e-05, + "loss": 0.483, + "step": 16723 + }, + { + "epoch": 0.59, + "learning_rate": 7.362606586413122e-05, + "loss": 0.4862, + "step": 16724 + }, + { + "epoch": 0.59, + "learning_rate": 7.361545402843967e-05, + "loss": 0.534, + "step": 16725 + }, + { + "epoch": 0.59, + "learning_rate": 7.360484251208906e-05, + "loss": 0.5443, + "step": 16726 + }, + { + "epoch": 0.59, + "learning_rate": 7.359423131520785e-05, + "loss": 0.5228, + "step": 16727 + }, + { + "epoch": 0.59, + "learning_rate": 7.358362043792446e-05, + "loss": 0.4698, + "step": 16728 + }, + { + "epoch": 0.59, + "learning_rate": 7.357300988036731e-05, + "loss": 0.5594, + "step": 16729 + }, + { + "epoch": 0.59, + "learning_rate": 7.356239964266485e-05, + "loss": 0.5776, + "step": 16730 + }, + { + "epoch": 0.59, + "learning_rate": 7.35517897249455e-05, + "loss": 0.3949, + "step": 16731 + }, + { + "epoch": 0.59, + "learning_rate": 7.354118012733761e-05, + "loss": 0.5099, + "step": 16732 + }, + { + "epoch": 0.59, + "learning_rate": 7.353057084996968e-05, + "loss": 0.6354, + "step": 16733 + }, + { + "epoch": 0.59, + "learning_rate": 7.351996189297006e-05, + "loss": 0.5557, + "step": 16734 + }, + { + "epoch": 0.59, + "learning_rate": 7.350935325646717e-05, + "loss": 0.5627, + "step": 16735 + }, + { + "epoch": 0.59, + "learning_rate": 7.349874494058943e-05, + "loss": 0.5058, + "step": 16736 + }, + { + "epoch": 0.59, + "learning_rate": 7.348813694546519e-05, + "loss": 0.619, + "step": 16737 + }, + { + "epoch": 0.59, + "learning_rate": 7.347752927122289e-05, + "loss": 0.4499, + "step": 16738 + }, + { + "epoch": 0.59, + "learning_rate": 7.346692191799087e-05, + "loss": 0.5678, + "step": 16739 + }, + { + "epoch": 0.59, + "learning_rate": 7.345631488589757e-05, + "loss": 0.5115, + "step": 16740 + }, + { + "epoch": 0.59, + "learning_rate": 7.344570817507133e-05, + "loss": 0.5675, + "step": 16741 + }, + { + "epoch": 0.59, + "learning_rate": 7.343510178564053e-05, + "loss": 0.4752, + "step": 16742 + }, + { + "epoch": 0.59, + "learning_rate": 7.342449571773358e-05, + "loss": 0.4856, + "step": 16743 + }, + { + "epoch": 0.59, + "learning_rate": 7.341388997147878e-05, + "loss": 0.4273, + "step": 16744 + }, + { + "epoch": 0.59, + "learning_rate": 7.340328454700456e-05, + "loss": 0.4537, + "step": 16745 + }, + { + "epoch": 0.59, + "learning_rate": 7.339267944443926e-05, + "loss": 0.5785, + "step": 16746 + }, + { + "epoch": 0.59, + "learning_rate": 7.338207466391121e-05, + "loss": 0.6319, + "step": 16747 + }, + { + "epoch": 0.59, + "learning_rate": 7.337147020554883e-05, + "loss": 0.5621, + "step": 16748 + }, + { + "epoch": 0.59, + "learning_rate": 7.336086606948039e-05, + "loss": 0.5401, + "step": 16749 + }, + { + "epoch": 0.59, + "learning_rate": 7.335026225583426e-05, + "loss": 0.4617, + "step": 16750 + }, + { + "epoch": 0.59, + "learning_rate": 7.333965876473881e-05, + "loss": 0.5117, + "step": 16751 + }, + { + "epoch": 0.59, + "learning_rate": 7.332905559632235e-05, + "loss": 0.5123, + "step": 16752 + }, + { + "epoch": 0.59, + "learning_rate": 7.331845275071325e-05, + "loss": 0.5551, + "step": 16753 + }, + { + "epoch": 0.59, + "learning_rate": 7.33078502280398e-05, + "loss": 0.5051, + "step": 16754 + }, + { + "epoch": 0.59, + "learning_rate": 7.329724802843033e-05, + "loss": 0.5269, + "step": 16755 + }, + { + "epoch": 0.59, + "learning_rate": 7.328664615201318e-05, + "loss": 0.4408, + "step": 16756 + }, + { + "epoch": 0.59, + "learning_rate": 7.327604459891664e-05, + "loss": 0.5562, + "step": 16757 + }, + { + "epoch": 0.59, + "learning_rate": 7.326544336926906e-05, + "loss": 0.5231, + "step": 16758 + }, + { + "epoch": 0.59, + "learning_rate": 7.325484246319873e-05, + "loss": 0.5018, + "step": 16759 + }, + { + "epoch": 0.59, + "learning_rate": 7.324424188083396e-05, + "loss": 0.4578, + "step": 16760 + }, + { + "epoch": 0.59, + "learning_rate": 7.323364162230307e-05, + "loss": 0.5241, + "step": 16761 + }, + { + "epoch": 0.59, + "learning_rate": 7.32230416877343e-05, + "loss": 0.5141, + "step": 16762 + }, + { + "epoch": 0.59, + "learning_rate": 7.321244207725602e-05, + "loss": 0.4291, + "step": 16763 + }, + { + "epoch": 0.59, + "learning_rate": 7.320184279099649e-05, + "loss": 0.5217, + "step": 16764 + }, + { + "epoch": 0.59, + "learning_rate": 7.319124382908396e-05, + "loss": 0.4703, + "step": 16765 + }, + { + "epoch": 0.59, + "learning_rate": 7.318064519164677e-05, + "loss": 0.4713, + "step": 16766 + }, + { + "epoch": 0.59, + "learning_rate": 7.317004687881317e-05, + "loss": 0.4403, + "step": 16767 + }, + { + "epoch": 0.59, + "learning_rate": 7.315944889071142e-05, + "loss": 0.4894, + "step": 16768 + }, + { + "epoch": 0.59, + "learning_rate": 7.314885122746984e-05, + "loss": 0.4222, + "step": 16769 + }, + { + "epoch": 0.59, + "learning_rate": 7.313825388921665e-05, + "loss": 0.5608, + "step": 16770 + }, + { + "epoch": 0.59, + "learning_rate": 7.312765687608015e-05, + "loss": 0.5377, + "step": 16771 + }, + { + "epoch": 0.59, + "learning_rate": 7.311706018818855e-05, + "loss": 0.4652, + "step": 16772 + }, + { + "epoch": 0.59, + "learning_rate": 7.310646382567015e-05, + "loss": 0.534, + "step": 16773 + }, + { + "epoch": 0.59, + "learning_rate": 7.309586778865318e-05, + "loss": 0.5063, + "step": 16774 + }, + { + "epoch": 0.59, + "learning_rate": 7.30852720772659e-05, + "loss": 0.4582, + "step": 16775 + }, + { + "epoch": 0.59, + "learning_rate": 7.307467669163655e-05, + "loss": 0.5793, + "step": 16776 + }, + { + "epoch": 0.59, + "learning_rate": 7.306408163189336e-05, + "loss": 0.5295, + "step": 16777 + }, + { + "epoch": 0.59, + "learning_rate": 7.305348689816456e-05, + "loss": 0.5611, + "step": 16778 + }, + { + "epoch": 0.59, + "learning_rate": 7.304289249057841e-05, + "loss": 0.4592, + "step": 16779 + }, + { + "epoch": 0.59, + "learning_rate": 7.303229840926311e-05, + "loss": 0.5049, + "step": 16780 + }, + { + "epoch": 0.59, + "learning_rate": 7.302170465434691e-05, + "loss": 0.5786, + "step": 16781 + }, + { + "epoch": 0.59, + "learning_rate": 7.3011111225958e-05, + "loss": 0.5341, + "step": 16782 + }, + { + "epoch": 0.59, + "learning_rate": 7.300051812422462e-05, + "loss": 0.4559, + "step": 16783 + }, + { + "epoch": 0.59, + "learning_rate": 7.298992534927498e-05, + "loss": 0.5879, + "step": 16784 + }, + { + "epoch": 0.59, + "learning_rate": 7.297933290123726e-05, + "loss": 0.4274, + "step": 16785 + }, + { + "epoch": 0.59, + "learning_rate": 7.296874078023969e-05, + "loss": 0.5188, + "step": 16786 + }, + { + "epoch": 0.59, + "learning_rate": 7.295814898641046e-05, + "loss": 0.5738, + "step": 16787 + }, + { + "epoch": 0.59, + "learning_rate": 7.294755751987779e-05, + "loss": 0.4079, + "step": 16788 + }, + { + "epoch": 0.59, + "learning_rate": 7.293696638076983e-05, + "loss": 0.5823, + "step": 16789 + }, + { + "epoch": 0.59, + "learning_rate": 7.292637556921483e-05, + "loss": 0.5912, + "step": 16790 + }, + { + "epoch": 0.59, + "learning_rate": 7.291578508534091e-05, + "loss": 0.4873, + "step": 16791 + }, + { + "epoch": 0.59, + "learning_rate": 7.290519492927626e-05, + "loss": 0.4713, + "step": 16792 + }, + { + "epoch": 0.59, + "learning_rate": 7.289460510114909e-05, + "loss": 0.4979, + "step": 16793 + }, + { + "epoch": 0.59, + "learning_rate": 7.288401560108754e-05, + "loss": 0.4744, + "step": 16794 + }, + { + "epoch": 0.59, + "learning_rate": 7.287342642921977e-05, + "loss": 0.5061, + "step": 16795 + }, + { + "epoch": 0.59, + "learning_rate": 7.2862837585674e-05, + "loss": 0.4573, + "step": 16796 + }, + { + "epoch": 0.59, + "learning_rate": 7.285224907057833e-05, + "loss": 0.5097, + "step": 16797 + }, + { + "epoch": 0.59, + "learning_rate": 7.284166088406097e-05, + "loss": 0.4397, + "step": 16798 + }, + { + "epoch": 0.59, + "learning_rate": 7.283107302625003e-05, + "loss": 0.495, + "step": 16799 + }, + { + "epoch": 0.59, + "learning_rate": 7.282048549727365e-05, + "loss": 0.3621, + "step": 16800 + }, + { + "epoch": 0.59, + "eval_loss": 0.49714845418930054, + "eval_runtime": 848.5565, + "eval_samples_per_second": 28.354, + "eval_steps_per_second": 14.177, + "step": 16800 + }, + { + "epoch": 0.59, + "learning_rate": 7.280989829726004e-05, + "loss": 0.5141, + "step": 16801 + }, + { + "epoch": 0.59, + "learning_rate": 7.279931142633727e-05, + "loss": 0.5644, + "step": 16802 + }, + { + "epoch": 0.59, + "learning_rate": 7.278872488463351e-05, + "loss": 0.4989, + "step": 16803 + }, + { + "epoch": 0.59, + "learning_rate": 7.277813867227688e-05, + "loss": 0.4426, + "step": 16804 + }, + { + "epoch": 0.59, + "learning_rate": 7.27675527893955e-05, + "loss": 0.5057, + "step": 16805 + }, + { + "epoch": 0.59, + "learning_rate": 7.275696723611754e-05, + "loss": 0.5825, + "step": 16806 + }, + { + "epoch": 0.59, + "learning_rate": 7.27463820125711e-05, + "loss": 0.604, + "step": 16807 + }, + { + "epoch": 0.59, + "learning_rate": 7.273579711888425e-05, + "loss": 0.4902, + "step": 16808 + }, + { + "epoch": 0.59, + "learning_rate": 7.272521255518517e-05, + "loss": 0.5088, + "step": 16809 + }, + { + "epoch": 0.59, + "learning_rate": 7.27146283216019e-05, + "loss": 0.5458, + "step": 16810 + }, + { + "epoch": 0.59, + "learning_rate": 7.270404441826261e-05, + "loss": 0.5292, + "step": 16811 + }, + { + "epoch": 0.59, + "learning_rate": 7.269346084529539e-05, + "loss": 0.5099, + "step": 16812 + }, + { + "epoch": 0.59, + "learning_rate": 7.268287760282827e-05, + "loss": 0.5083, + "step": 16813 + }, + { + "epoch": 0.59, + "learning_rate": 7.267229469098942e-05, + "loss": 0.5356, + "step": 16814 + }, + { + "epoch": 0.59, + "learning_rate": 7.266171210990688e-05, + "loss": 0.5219, + "step": 16815 + }, + { + "epoch": 0.59, + "learning_rate": 7.265112985970878e-05, + "loss": 0.4886, + "step": 16816 + }, + { + "epoch": 0.59, + "learning_rate": 7.264054794052318e-05, + "loss": 0.4739, + "step": 16817 + }, + { + "epoch": 0.59, + "learning_rate": 7.262996635247811e-05, + "loss": 0.5507, + "step": 16818 + }, + { + "epoch": 0.59, + "learning_rate": 7.261938509570172e-05, + "loss": 0.5845, + "step": 16819 + }, + { + "epoch": 0.59, + "learning_rate": 7.260880417032203e-05, + "loss": 0.6066, + "step": 16820 + }, + { + "epoch": 0.59, + "learning_rate": 7.259822357646711e-05, + "loss": 0.4153, + "step": 16821 + }, + { + "epoch": 0.59, + "learning_rate": 7.258764331426505e-05, + "loss": 0.5174, + "step": 16822 + }, + { + "epoch": 0.59, + "learning_rate": 7.257706338384385e-05, + "loss": 0.4647, + "step": 16823 + }, + { + "epoch": 0.59, + "learning_rate": 7.256648378533162e-05, + "loss": 0.526, + "step": 16824 + }, + { + "epoch": 0.59, + "learning_rate": 7.25559045188564e-05, + "loss": 0.4742, + "step": 16825 + }, + { + "epoch": 0.59, + "learning_rate": 7.254532558454617e-05, + "loss": 0.477, + "step": 16826 + }, + { + "epoch": 0.59, + "learning_rate": 7.253474698252906e-05, + "loss": 0.4929, + "step": 16827 + }, + { + "epoch": 0.59, + "learning_rate": 7.252416871293304e-05, + "loss": 0.5856, + "step": 16828 + }, + { + "epoch": 0.59, + "learning_rate": 7.25135907758862e-05, + "loss": 0.5137, + "step": 16829 + }, + { + "epoch": 0.59, + "learning_rate": 7.250301317151651e-05, + "loss": 0.4873, + "step": 16830 + }, + { + "epoch": 0.59, + "learning_rate": 7.249243589995202e-05, + "loss": 0.4626, + "step": 16831 + }, + { + "epoch": 0.59, + "learning_rate": 7.248185896132076e-05, + "loss": 0.435, + "step": 16832 + }, + { + "epoch": 0.59, + "learning_rate": 7.247128235575076e-05, + "loss": 0.5229, + "step": 16833 + }, + { + "epoch": 0.59, + "learning_rate": 7.246070608336996e-05, + "loss": 0.532, + "step": 16834 + }, + { + "epoch": 0.59, + "learning_rate": 7.245013014430645e-05, + "loss": 0.4595, + "step": 16835 + }, + { + "epoch": 0.59, + "learning_rate": 7.243955453868818e-05, + "loss": 0.5587, + "step": 16836 + }, + { + "epoch": 0.59, + "learning_rate": 7.242897926664319e-05, + "loss": 0.5687, + "step": 16837 + }, + { + "epoch": 0.59, + "learning_rate": 7.241840432829946e-05, + "loss": 0.4849, + "step": 16838 + }, + { + "epoch": 0.59, + "learning_rate": 7.240782972378496e-05, + "loss": 0.5524, + "step": 16839 + }, + { + "epoch": 0.59, + "learning_rate": 7.239725545322772e-05, + "loss": 0.4732, + "step": 16840 + }, + { + "epoch": 0.59, + "learning_rate": 7.238668151675568e-05, + "loss": 0.4877, + "step": 16841 + }, + { + "epoch": 0.59, + "learning_rate": 7.237610791449685e-05, + "loss": 0.5132, + "step": 16842 + }, + { + "epoch": 0.59, + "learning_rate": 7.236553464657921e-05, + "loss": 0.5686, + "step": 16843 + }, + { + "epoch": 0.59, + "learning_rate": 7.23549617131307e-05, + "loss": 0.4997, + "step": 16844 + }, + { + "epoch": 0.59, + "learning_rate": 7.234438911427931e-05, + "loss": 0.4982, + "step": 16845 + }, + { + "epoch": 0.59, + "learning_rate": 7.233381685015299e-05, + "loss": 0.4752, + "step": 16846 + }, + { + "epoch": 0.59, + "learning_rate": 7.232324492087974e-05, + "loss": 0.4828, + "step": 16847 + }, + { + "epoch": 0.59, + "learning_rate": 7.231267332658747e-05, + "loss": 0.5219, + "step": 16848 + }, + { + "epoch": 0.59, + "learning_rate": 7.230210206740414e-05, + "loss": 0.5775, + "step": 16849 + }, + { + "epoch": 0.59, + "learning_rate": 7.229153114345772e-05, + "loss": 0.5225, + "step": 16850 + }, + { + "epoch": 0.59, + "learning_rate": 7.228096055487614e-05, + "loss": 0.4864, + "step": 16851 + }, + { + "epoch": 0.59, + "learning_rate": 7.22703903017873e-05, + "loss": 0.457, + "step": 16852 + }, + { + "epoch": 0.59, + "learning_rate": 7.225982038431922e-05, + "loss": 0.5453, + "step": 16853 + }, + { + "epoch": 0.59, + "learning_rate": 7.224925080259975e-05, + "loss": 0.458, + "step": 16854 + }, + { + "epoch": 0.59, + "learning_rate": 7.223868155675687e-05, + "loss": 0.4997, + "step": 16855 + }, + { + "epoch": 0.59, + "learning_rate": 7.222811264691849e-05, + "loss": 0.5314, + "step": 16856 + }, + { + "epoch": 0.59, + "learning_rate": 7.22175440732125e-05, + "loss": 0.5466, + "step": 16857 + }, + { + "epoch": 0.59, + "learning_rate": 7.220697583576685e-05, + "loss": 0.4982, + "step": 16858 + }, + { + "epoch": 0.59, + "learning_rate": 7.219640793470943e-05, + "loss": 0.4948, + "step": 16859 + }, + { + "epoch": 0.59, + "learning_rate": 7.218584037016818e-05, + "loss": 0.5244, + "step": 16860 + }, + { + "epoch": 0.59, + "learning_rate": 7.217527314227097e-05, + "loss": 0.4858, + "step": 16861 + }, + { + "epoch": 0.59, + "learning_rate": 7.216470625114568e-05, + "loss": 0.6142, + "step": 16862 + }, + { + "epoch": 0.59, + "learning_rate": 7.215413969692026e-05, + "loss": 0.7064, + "step": 16863 + }, + { + "epoch": 0.59, + "learning_rate": 7.214357347972256e-05, + "loss": 0.5644, + "step": 16864 + }, + { + "epoch": 0.59, + "learning_rate": 7.21330075996805e-05, + "loss": 0.5895, + "step": 16865 + }, + { + "epoch": 0.59, + "learning_rate": 7.212244205692191e-05, + "loss": 0.5515, + "step": 16866 + }, + { + "epoch": 0.59, + "learning_rate": 7.211187685157471e-05, + "loss": 0.579, + "step": 16867 + }, + { + "epoch": 0.59, + "learning_rate": 7.210131198376678e-05, + "loss": 0.5202, + "step": 16868 + }, + { + "epoch": 0.59, + "learning_rate": 7.209074745362597e-05, + "loss": 0.4088, + "step": 16869 + }, + { + "epoch": 0.59, + "learning_rate": 7.208018326128012e-05, + "loss": 0.5199, + "step": 16870 + }, + { + "epoch": 0.59, + "learning_rate": 7.206961940685716e-05, + "loss": 0.4214, + "step": 16871 + }, + { + "epoch": 0.59, + "learning_rate": 7.205905589048488e-05, + "loss": 0.5176, + "step": 16872 + }, + { + "epoch": 0.59, + "learning_rate": 7.204849271229119e-05, + "loss": 0.5112, + "step": 16873 + }, + { + "epoch": 0.59, + "learning_rate": 7.203792987240389e-05, + "loss": 0.446, + "step": 16874 + }, + { + "epoch": 0.59, + "learning_rate": 7.202736737095086e-05, + "loss": 0.5376, + "step": 16875 + }, + { + "epoch": 0.59, + "learning_rate": 7.201680520805993e-05, + "loss": 0.4711, + "step": 16876 + }, + { + "epoch": 0.59, + "learning_rate": 7.200624338385893e-05, + "loss": 0.4796, + "step": 16877 + }, + { + "epoch": 0.59, + "learning_rate": 7.199568189847572e-05, + "loss": 0.5979, + "step": 16878 + }, + { + "epoch": 0.59, + "learning_rate": 7.19851207520381e-05, + "loss": 0.4628, + "step": 16879 + }, + { + "epoch": 0.59, + "learning_rate": 7.197455994467389e-05, + "loss": 0.5481, + "step": 16880 + }, + { + "epoch": 0.59, + "learning_rate": 7.196399947651094e-05, + "loss": 0.4489, + "step": 16881 + }, + { + "epoch": 0.59, + "learning_rate": 7.195343934767705e-05, + "loss": 0.4175, + "step": 16882 + }, + { + "epoch": 0.59, + "learning_rate": 7.194287955830004e-05, + "loss": 0.479, + "step": 16883 + }, + { + "epoch": 0.59, + "learning_rate": 7.193232010850772e-05, + "loss": 0.4857, + "step": 16884 + }, + { + "epoch": 0.59, + "learning_rate": 7.192176099842787e-05, + "loss": 0.5055, + "step": 16885 + }, + { + "epoch": 0.59, + "learning_rate": 7.191120222818832e-05, + "loss": 0.4865, + "step": 16886 + }, + { + "epoch": 0.59, + "learning_rate": 7.190064379791687e-05, + "loss": 0.5087, + "step": 16887 + }, + { + "epoch": 0.59, + "learning_rate": 7.189008570774127e-05, + "loss": 0.5241, + "step": 16888 + }, + { + "epoch": 0.59, + "learning_rate": 7.187952795778937e-05, + "loss": 0.5016, + "step": 16889 + }, + { + "epoch": 0.59, + "learning_rate": 7.186897054818888e-05, + "loss": 0.4732, + "step": 16890 + }, + { + "epoch": 0.59, + "learning_rate": 7.185841347906764e-05, + "loss": 0.5149, + "step": 16891 + }, + { + "epoch": 0.59, + "learning_rate": 7.184785675055341e-05, + "loss": 0.4762, + "step": 16892 + }, + { + "epoch": 0.59, + "learning_rate": 7.183730036277394e-05, + "loss": 0.4726, + "step": 16893 + }, + { + "epoch": 0.59, + "learning_rate": 7.182674431585704e-05, + "loss": 0.4723, + "step": 16894 + }, + { + "epoch": 0.59, + "learning_rate": 7.181618860993043e-05, + "loss": 0.6601, + "step": 16895 + }, + { + "epoch": 0.59, + "learning_rate": 7.180563324512189e-05, + "loss": 0.4955, + "step": 16896 + }, + { + "epoch": 0.59, + "learning_rate": 7.179507822155918e-05, + "loss": 0.4866, + "step": 16897 + }, + { + "epoch": 0.59, + "learning_rate": 7.178452353937002e-05, + "loss": 0.4919, + "step": 16898 + }, + { + "epoch": 0.59, + "learning_rate": 7.17739691986822e-05, + "loss": 0.5023, + "step": 16899 + }, + { + "epoch": 0.59, + "learning_rate": 7.176341519962345e-05, + "loss": 0.5407, + "step": 16900 + }, + { + "epoch": 0.59, + "learning_rate": 7.175286154232148e-05, + "loss": 0.4868, + "step": 16901 + }, + { + "epoch": 0.59, + "learning_rate": 7.174230822690406e-05, + "loss": 0.4919, + "step": 16902 + }, + { + "epoch": 0.59, + "learning_rate": 7.17317552534989e-05, + "loss": 0.4241, + "step": 16903 + }, + { + "epoch": 0.59, + "learning_rate": 7.172120262223374e-05, + "loss": 0.5169, + "step": 16904 + }, + { + "epoch": 0.59, + "learning_rate": 7.17106503332363e-05, + "loss": 0.4964, + "step": 16905 + }, + { + "epoch": 0.59, + "learning_rate": 7.170009838663426e-05, + "loss": 0.534, + "step": 16906 + }, + { + "epoch": 0.59, + "learning_rate": 7.16895467825554e-05, + "loss": 0.5384, + "step": 16907 + }, + { + "epoch": 0.59, + "learning_rate": 7.167899552112737e-05, + "loss": 0.5145, + "step": 16908 + }, + { + "epoch": 0.59, + "learning_rate": 7.166844460247793e-05, + "loss": 0.5539, + "step": 16909 + }, + { + "epoch": 0.59, + "learning_rate": 7.165789402673473e-05, + "loss": 0.5648, + "step": 16910 + }, + { + "epoch": 0.59, + "learning_rate": 7.164734379402549e-05, + "loss": 0.4935, + "step": 16911 + }, + { + "epoch": 0.59, + "learning_rate": 7.16367939044779e-05, + "loss": 0.5526, + "step": 16912 + }, + { + "epoch": 0.59, + "learning_rate": 7.162624435821965e-05, + "loss": 0.47, + "step": 16913 + }, + { + "epoch": 0.59, + "learning_rate": 7.161569515537845e-05, + "loss": 0.447, + "step": 16914 + }, + { + "epoch": 0.59, + "learning_rate": 7.160514629608195e-05, + "loss": 0.496, + "step": 16915 + }, + { + "epoch": 0.59, + "learning_rate": 7.15945977804578e-05, + "loss": 0.4529, + "step": 16916 + }, + { + "epoch": 0.59, + "learning_rate": 7.158404960863374e-05, + "loss": 0.5644, + "step": 16917 + }, + { + "epoch": 0.59, + "learning_rate": 7.157350178073739e-05, + "loss": 0.4359, + "step": 16918 + }, + { + "epoch": 0.59, + "learning_rate": 7.156295429689642e-05, + "loss": 0.5032, + "step": 16919 + }, + { + "epoch": 0.59, + "learning_rate": 7.155240715723852e-05, + "loss": 0.5791, + "step": 16920 + }, + { + "epoch": 0.59, + "learning_rate": 7.154186036189128e-05, + "loss": 0.4041, + "step": 16921 + }, + { + "epoch": 0.59, + "learning_rate": 7.153131391098242e-05, + "loss": 0.4965, + "step": 16922 + }, + { + "epoch": 0.59, + "learning_rate": 7.152076780463958e-05, + "loss": 0.5049, + "step": 16923 + }, + { + "epoch": 0.59, + "learning_rate": 7.151022204299034e-05, + "loss": 0.5779, + "step": 16924 + }, + { + "epoch": 0.59, + "learning_rate": 7.149967662616244e-05, + "loss": 0.4259, + "step": 16925 + }, + { + "epoch": 0.59, + "learning_rate": 7.148913155428342e-05, + "loss": 0.4608, + "step": 16926 + }, + { + "epoch": 0.59, + "learning_rate": 7.147858682748096e-05, + "loss": 0.4734, + "step": 16927 + }, + { + "epoch": 0.59, + "learning_rate": 7.146804244588267e-05, + "loss": 0.5259, + "step": 16928 + }, + { + "epoch": 0.59, + "learning_rate": 7.145749840961618e-05, + "loss": 0.5237, + "step": 16929 + }, + { + "epoch": 0.59, + "learning_rate": 7.144695471880908e-05, + "loss": 0.5837, + "step": 16930 + }, + { + "epoch": 0.59, + "learning_rate": 7.143641137358903e-05, + "loss": 0.5437, + "step": 16931 + }, + { + "epoch": 0.59, + "learning_rate": 7.142586837408362e-05, + "loss": 0.5254, + "step": 16932 + }, + { + "epoch": 0.59, + "learning_rate": 7.141532572042042e-05, + "loss": 0.4723, + "step": 16933 + }, + { + "epoch": 0.59, + "learning_rate": 7.14047834127271e-05, + "loss": 0.4455, + "step": 16934 + }, + { + "epoch": 0.59, + "learning_rate": 7.139424145113123e-05, + "loss": 0.4779, + "step": 16935 + }, + { + "epoch": 0.59, + "learning_rate": 7.138369983576035e-05, + "loss": 0.5315, + "step": 16936 + }, + { + "epoch": 0.59, + "learning_rate": 7.137315856674213e-05, + "loss": 0.4738, + "step": 16937 + }, + { + "epoch": 0.59, + "learning_rate": 7.136261764420409e-05, + "loss": 0.5019, + "step": 16938 + }, + { + "epoch": 0.59, + "learning_rate": 7.135207706827386e-05, + "loss": 0.5314, + "step": 16939 + }, + { + "epoch": 0.59, + "learning_rate": 7.134153683907899e-05, + "loss": 0.5109, + "step": 16940 + }, + { + "epoch": 0.59, + "learning_rate": 7.133099695674704e-05, + "loss": 0.5516, + "step": 16941 + }, + { + "epoch": 0.59, + "learning_rate": 7.132045742140562e-05, + "loss": 0.5968, + "step": 16942 + }, + { + "epoch": 0.59, + "learning_rate": 7.130991823318224e-05, + "loss": 0.4142, + "step": 16943 + }, + { + "epoch": 0.59, + "learning_rate": 7.12993793922045e-05, + "loss": 0.5299, + "step": 16944 + }, + { + "epoch": 0.59, + "learning_rate": 7.128884089859995e-05, + "loss": 0.4931, + "step": 16945 + }, + { + "epoch": 0.59, + "learning_rate": 7.127830275249612e-05, + "loss": 0.52, + "step": 16946 + }, + { + "epoch": 0.59, + "learning_rate": 7.126776495402057e-05, + "loss": 0.5275, + "step": 16947 + }, + { + "epoch": 0.59, + "learning_rate": 7.125722750330084e-05, + "loss": 0.5395, + "step": 16948 + }, + { + "epoch": 0.59, + "learning_rate": 7.124669040046447e-05, + "loss": 0.564, + "step": 16949 + }, + { + "epoch": 0.59, + "learning_rate": 7.1236153645639e-05, + "loss": 0.5956, + "step": 16950 + }, + { + "epoch": 0.59, + "learning_rate": 7.122561723895195e-05, + "loss": 0.5007, + "step": 16951 + }, + { + "epoch": 0.59, + "learning_rate": 7.121508118053086e-05, + "loss": 0.4673, + "step": 16952 + }, + { + "epoch": 0.59, + "learning_rate": 7.120454547050324e-05, + "loss": 0.5329, + "step": 16953 + }, + { + "epoch": 0.59, + "learning_rate": 7.119401010899658e-05, + "loss": 0.5907, + "step": 16954 + }, + { + "epoch": 0.59, + "learning_rate": 7.118347509613846e-05, + "loss": 0.5904, + "step": 16955 + }, + { + "epoch": 0.59, + "learning_rate": 7.117294043205631e-05, + "loss": 0.5431, + "step": 16956 + }, + { + "epoch": 0.59, + "learning_rate": 7.11624061168777e-05, + "loss": 0.5917, + "step": 16957 + }, + { + "epoch": 0.59, + "learning_rate": 7.11518721507301e-05, + "loss": 0.5005, + "step": 16958 + }, + { + "epoch": 0.59, + "learning_rate": 7.114133853374101e-05, + "loss": 0.4774, + "step": 16959 + }, + { + "epoch": 0.59, + "learning_rate": 7.113080526603792e-05, + "loss": 0.4891, + "step": 16960 + }, + { + "epoch": 0.59, + "learning_rate": 7.112027234774831e-05, + "loss": 0.5498, + "step": 16961 + }, + { + "epoch": 0.59, + "learning_rate": 7.11097397789997e-05, + "loss": 0.5681, + "step": 16962 + }, + { + "epoch": 0.59, + "learning_rate": 7.109920755991953e-05, + "loss": 0.5138, + "step": 16963 + }, + { + "epoch": 0.59, + "learning_rate": 7.108867569063527e-05, + "loss": 0.5212, + "step": 16964 + }, + { + "epoch": 0.59, + "learning_rate": 7.107814417127445e-05, + "loss": 0.505, + "step": 16965 + }, + { + "epoch": 0.59, + "learning_rate": 7.106761300196444e-05, + "loss": 0.5304, + "step": 16966 + }, + { + "epoch": 0.59, + "learning_rate": 7.10570821828328e-05, + "loss": 0.5206, + "step": 16967 + }, + { + "epoch": 0.59, + "learning_rate": 7.104655171400694e-05, + "loss": 0.49, + "step": 16968 + }, + { + "epoch": 0.59, + "learning_rate": 7.103602159561431e-05, + "loss": 0.5136, + "step": 16969 + }, + { + "epoch": 0.59, + "learning_rate": 7.102549182778238e-05, + "loss": 0.4213, + "step": 16970 + }, + { + "epoch": 0.59, + "learning_rate": 7.101496241063858e-05, + "loss": 0.5657, + "step": 16971 + }, + { + "epoch": 0.59, + "learning_rate": 7.100443334431033e-05, + "loss": 0.5218, + "step": 16972 + }, + { + "epoch": 0.59, + "learning_rate": 7.099390462892512e-05, + "loss": 0.4855, + "step": 16973 + }, + { + "epoch": 0.59, + "learning_rate": 7.098337626461034e-05, + "loss": 0.5384, + "step": 16974 + }, + { + "epoch": 0.59, + "learning_rate": 7.097284825149344e-05, + "loss": 0.4567, + "step": 16975 + }, + { + "epoch": 0.59, + "learning_rate": 7.096232058970184e-05, + "loss": 0.6148, + "step": 16976 + }, + { + "epoch": 0.59, + "learning_rate": 7.095179327936294e-05, + "loss": 0.4492, + "step": 16977 + }, + { + "epoch": 0.59, + "learning_rate": 7.094126632060421e-05, + "loss": 0.4755, + "step": 16978 + }, + { + "epoch": 0.59, + "learning_rate": 7.093073971355297e-05, + "loss": 0.5162, + "step": 16979 + }, + { + "epoch": 0.59, + "learning_rate": 7.092021345833673e-05, + "loss": 0.5421, + "step": 16980 + }, + { + "epoch": 0.59, + "learning_rate": 7.090968755508282e-05, + "loss": 0.5389, + "step": 16981 + }, + { + "epoch": 0.59, + "learning_rate": 7.089916200391865e-05, + "loss": 0.4865, + "step": 16982 + }, + { + "epoch": 0.59, + "learning_rate": 7.088863680497165e-05, + "loss": 0.6022, + "step": 16983 + }, + { + "epoch": 0.59, + "learning_rate": 7.087811195836918e-05, + "loss": 0.5767, + "step": 16984 + }, + { + "epoch": 0.59, + "learning_rate": 7.08675874642386e-05, + "loss": 0.5849, + "step": 16985 + }, + { + "epoch": 0.59, + "learning_rate": 7.085706332270736e-05, + "loss": 0.4259, + "step": 16986 + }, + { + "epoch": 0.59, + "learning_rate": 7.084653953390279e-05, + "loss": 0.4468, + "step": 16987 + }, + { + "epoch": 0.59, + "learning_rate": 7.083601609795227e-05, + "loss": 0.5426, + "step": 16988 + }, + { + "epoch": 0.59, + "learning_rate": 7.08254930149832e-05, + "loss": 0.4894, + "step": 16989 + }, + { + "epoch": 0.59, + "learning_rate": 7.081497028512287e-05, + "loss": 0.543, + "step": 16990 + }, + { + "epoch": 0.59, + "learning_rate": 7.080444790849871e-05, + "loss": 0.4695, + "step": 16991 + }, + { + "epoch": 0.59, + "learning_rate": 7.079392588523804e-05, + "loss": 0.4671, + "step": 16992 + }, + { + "epoch": 0.59, + "learning_rate": 7.078340421546824e-05, + "loss": 0.5098, + "step": 16993 + }, + { + "epoch": 0.59, + "learning_rate": 7.077288289931665e-05, + "loss": 0.4782, + "step": 16994 + }, + { + "epoch": 0.59, + "learning_rate": 7.076236193691058e-05, + "loss": 0.5568, + "step": 16995 + }, + { + "epoch": 0.59, + "learning_rate": 7.07518413283774e-05, + "loss": 0.4976, + "step": 16996 + }, + { + "epoch": 0.59, + "learning_rate": 7.074132107384442e-05, + "loss": 0.545, + "step": 16997 + }, + { + "epoch": 0.59, + "learning_rate": 7.073080117343902e-05, + "loss": 0.5203, + "step": 16998 + }, + { + "epoch": 0.59, + "learning_rate": 7.07202816272885e-05, + "loss": 0.5274, + "step": 16999 + }, + { + "epoch": 0.59, + "learning_rate": 7.070976243552012e-05, + "loss": 0.5166, + "step": 17000 + }, + { + "epoch": 0.59, + "eval_loss": 0.4935392439365387, + "eval_runtime": 845.9205, + "eval_samples_per_second": 28.442, + "eval_steps_per_second": 14.221, + "step": 17000 + }, + { + "epoch": 0.59, + "learning_rate": 7.06992435982613e-05, + "loss": 0.545, + "step": 17001 + }, + { + "epoch": 0.59, + "learning_rate": 7.06887251156393e-05, + "loss": 0.4775, + "step": 17002 + }, + { + "epoch": 0.59, + "learning_rate": 7.067820698778141e-05, + "loss": 0.5213, + "step": 17003 + }, + { + "epoch": 0.6, + "learning_rate": 7.066768921481499e-05, + "loss": 0.5697, + "step": 17004 + }, + { + "epoch": 0.6, + "learning_rate": 7.065717179686727e-05, + "loss": 0.5215, + "step": 17005 + }, + { + "epoch": 0.6, + "learning_rate": 7.064665473406562e-05, + "loss": 0.4366, + "step": 17006 + }, + { + "epoch": 0.6, + "learning_rate": 7.063613802653728e-05, + "loss": 0.4996, + "step": 17007 + }, + { + "epoch": 0.6, + "learning_rate": 7.062562167440955e-05, + "loss": 0.6087, + "step": 17008 + }, + { + "epoch": 0.6, + "learning_rate": 7.061510567780972e-05, + "loss": 0.4865, + "step": 17009 + }, + { + "epoch": 0.6, + "learning_rate": 7.060459003686506e-05, + "loss": 0.4488, + "step": 17010 + }, + { + "epoch": 0.6, + "learning_rate": 7.059407475170286e-05, + "loss": 0.4941, + "step": 17011 + }, + { + "epoch": 0.6, + "learning_rate": 7.058355982245037e-05, + "loss": 0.4158, + "step": 17012 + }, + { + "epoch": 0.6, + "learning_rate": 7.057304524923486e-05, + "loss": 0.481, + "step": 17013 + }, + { + "epoch": 0.6, + "learning_rate": 7.05625310321836e-05, + "loss": 0.5728, + "step": 17014 + }, + { + "epoch": 0.6, + "learning_rate": 7.055201717142384e-05, + "loss": 0.4604, + "step": 17015 + }, + { + "epoch": 0.6, + "learning_rate": 7.054150366708285e-05, + "loss": 0.4573, + "step": 17016 + }, + { + "epoch": 0.6, + "learning_rate": 7.053099051928787e-05, + "loss": 0.4541, + "step": 17017 + }, + { + "epoch": 0.6, + "learning_rate": 7.05204777281661e-05, + "loss": 0.4559, + "step": 17018 + }, + { + "epoch": 0.6, + "learning_rate": 7.050996529384484e-05, + "loss": 0.4542, + "step": 17019 + }, + { + "epoch": 0.6, + "learning_rate": 7.049945321645131e-05, + "loss": 0.5534, + "step": 17020 + }, + { + "epoch": 0.6, + "learning_rate": 7.048894149611271e-05, + "loss": 0.3839, + "step": 17021 + }, + { + "epoch": 0.6, + "learning_rate": 7.047843013295632e-05, + "loss": 0.4798, + "step": 17022 + }, + { + "epoch": 0.6, + "learning_rate": 7.046791912710933e-05, + "loss": 0.4572, + "step": 17023 + }, + { + "epoch": 0.6, + "learning_rate": 7.045740847869895e-05, + "loss": 0.5264, + "step": 17024 + }, + { + "epoch": 0.6, + "learning_rate": 7.044689818785243e-05, + "loss": 0.4057, + "step": 17025 + }, + { + "epoch": 0.6, + "learning_rate": 7.043638825469692e-05, + "loss": 0.5423, + "step": 17026 + }, + { + "epoch": 0.6, + "learning_rate": 7.042587867935969e-05, + "loss": 0.4533, + "step": 17027 + }, + { + "epoch": 0.6, + "learning_rate": 7.041536946196789e-05, + "loss": 0.4651, + "step": 17028 + }, + { + "epoch": 0.6, + "learning_rate": 7.040486060264875e-05, + "loss": 0.4955, + "step": 17029 + }, + { + "epoch": 0.6, + "learning_rate": 7.039435210152947e-05, + "loss": 0.435, + "step": 17030 + }, + { + "epoch": 0.6, + "learning_rate": 7.038384395873719e-05, + "loss": 0.4764, + "step": 17031 + }, + { + "epoch": 0.6, + "learning_rate": 7.037333617439912e-05, + "loss": 0.4563, + "step": 17032 + }, + { + "epoch": 0.6, + "learning_rate": 7.036282874864244e-05, + "loss": 0.5785, + "step": 17033 + }, + { + "epoch": 0.6, + "learning_rate": 7.035232168159436e-05, + "loss": 0.545, + "step": 17034 + }, + { + "epoch": 0.6, + "learning_rate": 7.034181497338199e-05, + "loss": 0.485, + "step": 17035 + }, + { + "epoch": 0.6, + "learning_rate": 7.033130862413252e-05, + "loss": 0.4736, + "step": 17036 + }, + { + "epoch": 0.6, + "learning_rate": 7.032080263397312e-05, + "loss": 0.4716, + "step": 17037 + }, + { + "epoch": 0.6, + "learning_rate": 7.031029700303096e-05, + "loss": 0.4635, + "step": 17038 + }, + { + "epoch": 0.6, + "learning_rate": 7.029979173143315e-05, + "loss": 0.4828, + "step": 17039 + }, + { + "epoch": 0.6, + "learning_rate": 7.028928681930689e-05, + "loss": 0.4345, + "step": 17040 + }, + { + "epoch": 0.6, + "learning_rate": 7.027878226677926e-05, + "loss": 0.4557, + "step": 17041 + }, + { + "epoch": 0.6, + "learning_rate": 7.026827807397747e-05, + "loss": 0.5006, + "step": 17042 + }, + { + "epoch": 0.6, + "learning_rate": 7.025777424102862e-05, + "loss": 0.4901, + "step": 17043 + }, + { + "epoch": 0.6, + "learning_rate": 7.024727076805984e-05, + "loss": 0.4059, + "step": 17044 + }, + { + "epoch": 0.6, + "learning_rate": 7.023676765519826e-05, + "loss": 0.5809, + "step": 17045 + }, + { + "epoch": 0.6, + "learning_rate": 7.0226264902571e-05, + "loss": 0.4885, + "step": 17046 + }, + { + "epoch": 0.6, + "learning_rate": 7.02157625103052e-05, + "loss": 0.5178, + "step": 17047 + }, + { + "epoch": 0.6, + "learning_rate": 7.020526047852797e-05, + "loss": 0.5831, + "step": 17048 + }, + { + "epoch": 0.6, + "learning_rate": 7.019475880736637e-05, + "loss": 0.5565, + "step": 17049 + }, + { + "epoch": 0.6, + "learning_rate": 7.018425749694757e-05, + "loss": 0.4894, + "step": 17050 + }, + { + "epoch": 0.6, + "learning_rate": 7.017375654739866e-05, + "loss": 0.4486, + "step": 17051 + }, + { + "epoch": 0.6, + "learning_rate": 7.016325595884667e-05, + "loss": 0.5315, + "step": 17052 + }, + { + "epoch": 0.6, + "learning_rate": 7.015275573141877e-05, + "loss": 0.5249, + "step": 17053 + }, + { + "epoch": 0.6, + "learning_rate": 7.014225586524202e-05, + "loss": 0.4611, + "step": 17054 + }, + { + "epoch": 0.6, + "learning_rate": 7.01317563604435e-05, + "loss": 0.4887, + "step": 17055 + }, + { + "epoch": 0.6, + "learning_rate": 7.01212572171503e-05, + "loss": 0.483, + "step": 17056 + }, + { + "epoch": 0.6, + "learning_rate": 7.011075843548948e-05, + "loss": 0.4715, + "step": 17057 + }, + { + "epoch": 0.6, + "learning_rate": 7.010026001558812e-05, + "loss": 0.5283, + "step": 17058 + }, + { + "epoch": 0.6, + "learning_rate": 7.008976195757326e-05, + "loss": 0.6032, + "step": 17059 + }, + { + "epoch": 0.6, + "learning_rate": 7.007926426157206e-05, + "loss": 0.4636, + "step": 17060 + }, + { + "epoch": 0.6, + "learning_rate": 7.006876692771144e-05, + "loss": 0.4955, + "step": 17061 + }, + { + "epoch": 0.6, + "learning_rate": 7.005826995611852e-05, + "loss": 0.5088, + "step": 17062 + }, + { + "epoch": 0.6, + "learning_rate": 7.004777334692034e-05, + "loss": 0.369, + "step": 17063 + }, + { + "epoch": 0.6, + "learning_rate": 7.003727710024396e-05, + "loss": 0.5968, + "step": 17064 + }, + { + "epoch": 0.6, + "learning_rate": 7.002678121621641e-05, + "loss": 0.5837, + "step": 17065 + }, + { + "epoch": 0.6, + "learning_rate": 7.00162856949647e-05, + "loss": 0.5052, + "step": 17066 + }, + { + "epoch": 0.6, + "learning_rate": 7.000579053661588e-05, + "loss": 0.5047, + "step": 17067 + }, + { + "epoch": 0.6, + "learning_rate": 6.9995295741297e-05, + "loss": 0.4848, + "step": 17068 + }, + { + "epoch": 0.6, + "learning_rate": 6.998480130913505e-05, + "loss": 0.4672, + "step": 17069 + }, + { + "epoch": 0.6, + "learning_rate": 6.997430724025706e-05, + "loss": 0.4874, + "step": 17070 + }, + { + "epoch": 0.6, + "learning_rate": 6.996381353479004e-05, + "loss": 0.5377, + "step": 17071 + }, + { + "epoch": 0.6, + "learning_rate": 6.995332019286101e-05, + "loss": 0.5008, + "step": 17072 + }, + { + "epoch": 0.6, + "learning_rate": 6.994282721459695e-05, + "loss": 0.554, + "step": 17073 + }, + { + "epoch": 0.6, + "learning_rate": 6.993233460012488e-05, + "loss": 0.4928, + "step": 17074 + }, + { + "epoch": 0.6, + "learning_rate": 6.992184234957179e-05, + "loss": 0.4433, + "step": 17075 + }, + { + "epoch": 0.6, + "learning_rate": 6.991135046306467e-05, + "loss": 0.4894, + "step": 17076 + }, + { + "epoch": 0.6, + "learning_rate": 6.990085894073052e-05, + "loss": 0.5539, + "step": 17077 + }, + { + "epoch": 0.6, + "learning_rate": 6.98903677826963e-05, + "loss": 0.4271, + "step": 17078 + }, + { + "epoch": 0.6, + "learning_rate": 6.9879876989089e-05, + "loss": 0.532, + "step": 17079 + }, + { + "epoch": 0.6, + "learning_rate": 6.986938656003559e-05, + "loss": 0.4944, + "step": 17080 + }, + { + "epoch": 0.6, + "learning_rate": 6.985889649566305e-05, + "loss": 0.4475, + "step": 17081 + }, + { + "epoch": 0.6, + "learning_rate": 6.984840679609833e-05, + "loss": 0.4624, + "step": 17082 + }, + { + "epoch": 0.6, + "learning_rate": 6.98379174614684e-05, + "loss": 0.4477, + "step": 17083 + }, + { + "epoch": 0.6, + "learning_rate": 6.98274284919002e-05, + "loss": 0.4783, + "step": 17084 + }, + { + "epoch": 0.6, + "learning_rate": 6.981693988752071e-05, + "loss": 0.4749, + "step": 17085 + }, + { + "epoch": 0.6, + "learning_rate": 6.980645164845688e-05, + "loss": 0.4978, + "step": 17086 + }, + { + "epoch": 0.6, + "learning_rate": 6.979596377483558e-05, + "loss": 0.5006, + "step": 17087 + }, + { + "epoch": 0.6, + "learning_rate": 6.978547626678385e-05, + "loss": 0.4946, + "step": 17088 + }, + { + "epoch": 0.6, + "learning_rate": 6.977498912442852e-05, + "loss": 0.5296, + "step": 17089 + }, + { + "epoch": 0.6, + "learning_rate": 6.976450234789663e-05, + "loss": 0.461, + "step": 17090 + }, + { + "epoch": 0.6, + "learning_rate": 6.975401593731505e-05, + "loss": 0.5445, + "step": 17091 + }, + { + "epoch": 0.6, + "learning_rate": 6.974352989281066e-05, + "loss": 0.5459, + "step": 17092 + }, + { + "epoch": 0.6, + "learning_rate": 6.973304421451046e-05, + "loss": 0.4642, + "step": 17093 + }, + { + "epoch": 0.6, + "learning_rate": 6.972255890254127e-05, + "loss": 0.4715, + "step": 17094 + }, + { + "epoch": 0.6, + "learning_rate": 6.971207395703007e-05, + "loss": 0.5493, + "step": 17095 + }, + { + "epoch": 0.6, + "learning_rate": 6.970158937810376e-05, + "loss": 0.5081, + "step": 17096 + }, + { + "epoch": 0.6, + "learning_rate": 6.969110516588919e-05, + "loss": 0.5148, + "step": 17097 + }, + { + "epoch": 0.6, + "learning_rate": 6.968062132051329e-05, + "loss": 0.533, + "step": 17098 + }, + { + "epoch": 0.6, + "learning_rate": 6.967013784210293e-05, + "loss": 0.4459, + "step": 17099 + }, + { + "epoch": 0.6, + "learning_rate": 6.965965473078503e-05, + "loss": 0.3342, + "step": 17100 + }, + { + "epoch": 0.6, + "learning_rate": 6.964917198668643e-05, + "loss": 0.4536, + "step": 17101 + }, + { + "epoch": 0.6, + "learning_rate": 6.963868960993402e-05, + "loss": 0.4886, + "step": 17102 + }, + { + "epoch": 0.6, + "learning_rate": 6.962820760065468e-05, + "loss": 0.4824, + "step": 17103 + }, + { + "epoch": 0.6, + "learning_rate": 6.961772595897526e-05, + "loss": 0.4583, + "step": 17104 + }, + { + "epoch": 0.6, + "learning_rate": 6.960724468502265e-05, + "loss": 0.5028, + "step": 17105 + }, + { + "epoch": 0.6, + "learning_rate": 6.959676377892368e-05, + "loss": 0.4521, + "step": 17106 + }, + { + "epoch": 0.6, + "learning_rate": 6.958628324080521e-05, + "loss": 0.3703, + "step": 17107 + }, + { + "epoch": 0.6, + "learning_rate": 6.95758030707941e-05, + "loss": 0.5132, + "step": 17108 + }, + { + "epoch": 0.6, + "learning_rate": 6.956532326901722e-05, + "loss": 0.6443, + "step": 17109 + }, + { + "epoch": 0.6, + "learning_rate": 6.955484383560133e-05, + "loss": 0.4938, + "step": 17110 + }, + { + "epoch": 0.6, + "learning_rate": 6.954436477067335e-05, + "loss": 0.6161, + "step": 17111 + }, + { + "epoch": 0.6, + "learning_rate": 6.953388607436007e-05, + "loss": 0.5215, + "step": 17112 + }, + { + "epoch": 0.6, + "learning_rate": 6.952340774678831e-05, + "loss": 0.3938, + "step": 17113 + }, + { + "epoch": 0.6, + "learning_rate": 6.951292978808495e-05, + "loss": 0.6059, + "step": 17114 + }, + { + "epoch": 0.6, + "learning_rate": 6.950245219837673e-05, + "loss": 0.5393, + "step": 17115 + }, + { + "epoch": 0.6, + "learning_rate": 6.949197497779052e-05, + "loss": 0.4522, + "step": 17116 + }, + { + "epoch": 0.6, + "learning_rate": 6.948149812645308e-05, + "loss": 0.4511, + "step": 17117 + }, + { + "epoch": 0.6, + "learning_rate": 6.947102164449128e-05, + "loss": 0.4569, + "step": 17118 + }, + { + "epoch": 0.6, + "learning_rate": 6.946054553203188e-05, + "loss": 0.5029, + "step": 17119 + }, + { + "epoch": 0.6, + "learning_rate": 6.945006978920166e-05, + "loss": 0.6552, + "step": 17120 + }, + { + "epoch": 0.6, + "learning_rate": 6.943959441612745e-05, + "loss": 0.504, + "step": 17121 + }, + { + "epoch": 0.6, + "learning_rate": 6.942911941293602e-05, + "loss": 0.5337, + "step": 17122 + }, + { + "epoch": 0.6, + "learning_rate": 6.941864477975413e-05, + "loss": 0.637, + "step": 17123 + }, + { + "epoch": 0.6, + "learning_rate": 6.94081705167086e-05, + "loss": 0.4357, + "step": 17124 + }, + { + "epoch": 0.6, + "learning_rate": 6.939769662392617e-05, + "loss": 0.42, + "step": 17125 + }, + { + "epoch": 0.6, + "learning_rate": 6.938722310153364e-05, + "loss": 0.4567, + "step": 17126 + }, + { + "epoch": 0.6, + "learning_rate": 6.937674994965775e-05, + "loss": 0.5507, + "step": 17127 + }, + { + "epoch": 0.6, + "learning_rate": 6.936627716842526e-05, + "loss": 0.4675, + "step": 17128 + }, + { + "epoch": 0.6, + "learning_rate": 6.935580475796292e-05, + "loss": 0.5641, + "step": 17129 + }, + { + "epoch": 0.6, + "learning_rate": 6.934533271839752e-05, + "loss": 0.5403, + "step": 17130 + }, + { + "epoch": 0.6, + "learning_rate": 6.933486104985578e-05, + "loss": 0.4406, + "step": 17131 + }, + { + "epoch": 0.6, + "learning_rate": 6.932438975246442e-05, + "loss": 0.5332, + "step": 17132 + }, + { + "epoch": 0.6, + "learning_rate": 6.931391882635022e-05, + "loss": 0.5099, + "step": 17133 + }, + { + "epoch": 0.6, + "learning_rate": 6.930344827163988e-05, + "loss": 0.4395, + "step": 17134 + }, + { + "epoch": 0.6, + "learning_rate": 6.929297808846015e-05, + "loss": 0.4493, + "step": 17135 + }, + { + "epoch": 0.6, + "learning_rate": 6.928250827693771e-05, + "loss": 0.4329, + "step": 17136 + }, + { + "epoch": 0.6, + "learning_rate": 6.927203883719938e-05, + "loss": 0.4803, + "step": 17137 + }, + { + "epoch": 0.6, + "learning_rate": 6.926156976937175e-05, + "loss": 0.4687, + "step": 17138 + }, + { + "epoch": 0.6, + "learning_rate": 6.925110107358161e-05, + "loss": 0.4644, + "step": 17139 + }, + { + "epoch": 0.6, + "learning_rate": 6.924063274995567e-05, + "loss": 0.5265, + "step": 17140 + }, + { + "epoch": 0.6, + "learning_rate": 6.923016479862059e-05, + "loss": 0.466, + "step": 17141 + }, + { + "epoch": 0.6, + "learning_rate": 6.921969721970309e-05, + "loss": 0.5031, + "step": 17142 + }, + { + "epoch": 0.6, + "learning_rate": 6.920923001332984e-05, + "loss": 0.4094, + "step": 17143 + }, + { + "epoch": 0.6, + "learning_rate": 6.919876317962756e-05, + "loss": 0.5134, + "step": 17144 + }, + { + "epoch": 0.6, + "learning_rate": 6.918829671872293e-05, + "loss": 0.4925, + "step": 17145 + }, + { + "epoch": 0.6, + "learning_rate": 6.91778306307426e-05, + "loss": 0.5247, + "step": 17146 + }, + { + "epoch": 0.6, + "learning_rate": 6.916736491581328e-05, + "loss": 0.5103, + "step": 17147 + }, + { + "epoch": 0.6, + "learning_rate": 6.915689957406162e-05, + "loss": 0.4375, + "step": 17148 + }, + { + "epoch": 0.6, + "learning_rate": 6.914643460561428e-05, + "loss": 0.4678, + "step": 17149 + }, + { + "epoch": 0.6, + "learning_rate": 6.913597001059795e-05, + "loss": 0.5463, + "step": 17150 + }, + { + "epoch": 0.6, + "learning_rate": 6.912550578913924e-05, + "loss": 0.5062, + "step": 17151 + }, + { + "epoch": 0.6, + "learning_rate": 6.911504194136484e-05, + "loss": 0.4904, + "step": 17152 + }, + { + "epoch": 0.6, + "learning_rate": 6.91045784674014e-05, + "loss": 0.413, + "step": 17153 + }, + { + "epoch": 0.6, + "learning_rate": 6.909411536737554e-05, + "loss": 0.5011, + "step": 17154 + }, + { + "epoch": 0.6, + "learning_rate": 6.90836526414139e-05, + "loss": 0.5774, + "step": 17155 + }, + { + "epoch": 0.6, + "learning_rate": 6.907319028964311e-05, + "loss": 0.5198, + "step": 17156 + }, + { + "epoch": 0.6, + "learning_rate": 6.906272831218982e-05, + "loss": 0.4884, + "step": 17157 + }, + { + "epoch": 0.6, + "learning_rate": 6.905226670918068e-05, + "loss": 0.5192, + "step": 17158 + }, + { + "epoch": 0.6, + "learning_rate": 6.904180548074222e-05, + "loss": 0.4965, + "step": 17159 + }, + { + "epoch": 0.6, + "learning_rate": 6.903134462700115e-05, + "loss": 0.5957, + "step": 17160 + }, + { + "epoch": 0.6, + "learning_rate": 6.902088414808402e-05, + "loss": 0.4389, + "step": 17161 + }, + { + "epoch": 0.6, + "learning_rate": 6.901042404411748e-05, + "loss": 0.462, + "step": 17162 + }, + { + "epoch": 0.6, + "learning_rate": 6.89999643152281e-05, + "loss": 0.471, + "step": 17163 + }, + { + "epoch": 0.6, + "learning_rate": 6.898950496154248e-05, + "loss": 0.4865, + "step": 17164 + }, + { + "epoch": 0.6, + "learning_rate": 6.897904598318725e-05, + "loss": 0.5533, + "step": 17165 + }, + { + "epoch": 0.6, + "learning_rate": 6.896858738028893e-05, + "loss": 0.4963, + "step": 17166 + }, + { + "epoch": 0.6, + "learning_rate": 6.895812915297418e-05, + "loss": 0.4611, + "step": 17167 + }, + { + "epoch": 0.6, + "learning_rate": 6.894767130136953e-05, + "loss": 0.5078, + "step": 17168 + }, + { + "epoch": 0.6, + "learning_rate": 6.893721382560156e-05, + "loss": 0.5708, + "step": 17169 + }, + { + "epoch": 0.6, + "learning_rate": 6.892675672579686e-05, + "loss": 0.4921, + "step": 17170 + }, + { + "epoch": 0.6, + "learning_rate": 6.891630000208199e-05, + "loss": 0.507, + "step": 17171 + }, + { + "epoch": 0.6, + "learning_rate": 6.890584365458348e-05, + "loss": 0.4659, + "step": 17172 + }, + { + "epoch": 0.6, + "learning_rate": 6.889538768342795e-05, + "loss": 0.5512, + "step": 17173 + }, + { + "epoch": 0.6, + "learning_rate": 6.888493208874187e-05, + "loss": 0.4625, + "step": 17174 + }, + { + "epoch": 0.6, + "learning_rate": 6.887447687065187e-05, + "loss": 0.4522, + "step": 17175 + }, + { + "epoch": 0.6, + "learning_rate": 6.886402202928445e-05, + "loss": 0.4857, + "step": 17176 + }, + { + "epoch": 0.6, + "learning_rate": 6.885356756476613e-05, + "loss": 0.5329, + "step": 17177 + }, + { + "epoch": 0.6, + "learning_rate": 6.88431134772235e-05, + "loss": 0.5375, + "step": 17178 + }, + { + "epoch": 0.6, + "learning_rate": 6.883265976678303e-05, + "loss": 0.4463, + "step": 17179 + }, + { + "epoch": 0.6, + "learning_rate": 6.882220643357129e-05, + "loss": 0.5166, + "step": 17180 + }, + { + "epoch": 0.6, + "learning_rate": 6.881175347771478e-05, + "loss": 0.5055, + "step": 17181 + }, + { + "epoch": 0.6, + "learning_rate": 6.880130089934e-05, + "loss": 0.5256, + "step": 17182 + }, + { + "epoch": 0.6, + "learning_rate": 6.879084869857349e-05, + "loss": 0.4944, + "step": 17183 + }, + { + "epoch": 0.6, + "learning_rate": 6.878039687554174e-05, + "loss": 0.4822, + "step": 17184 + }, + { + "epoch": 0.6, + "learning_rate": 6.876994543037127e-05, + "loss": 0.4978, + "step": 17185 + }, + { + "epoch": 0.6, + "learning_rate": 6.875949436318855e-05, + "loss": 0.6368, + "step": 17186 + }, + { + "epoch": 0.6, + "learning_rate": 6.87490436741201e-05, + "loss": 0.4951, + "step": 17187 + }, + { + "epoch": 0.6, + "learning_rate": 6.873859336329238e-05, + "loss": 0.4421, + "step": 17188 + }, + { + "epoch": 0.6, + "learning_rate": 6.872814343083192e-05, + "loss": 0.4837, + "step": 17189 + }, + { + "epoch": 0.6, + "learning_rate": 6.871769387686512e-05, + "loss": 0.5631, + "step": 17190 + }, + { + "epoch": 0.6, + "learning_rate": 6.870724470151853e-05, + "loss": 0.4616, + "step": 17191 + }, + { + "epoch": 0.6, + "learning_rate": 6.869679590491857e-05, + "loss": 0.5551, + "step": 17192 + }, + { + "epoch": 0.6, + "learning_rate": 6.868634748719176e-05, + "loss": 0.4971, + "step": 17193 + }, + { + "epoch": 0.6, + "learning_rate": 6.867589944846454e-05, + "loss": 0.5434, + "step": 17194 + }, + { + "epoch": 0.6, + "learning_rate": 6.866545178886334e-05, + "loss": 0.5161, + "step": 17195 + }, + { + "epoch": 0.6, + "learning_rate": 6.86550045085146e-05, + "loss": 0.4774, + "step": 17196 + }, + { + "epoch": 0.6, + "learning_rate": 6.864455760754482e-05, + "loss": 0.5092, + "step": 17197 + }, + { + "epoch": 0.6, + "learning_rate": 6.86341110860804e-05, + "loss": 0.5641, + "step": 17198 + }, + { + "epoch": 0.6, + "learning_rate": 6.862366494424777e-05, + "loss": 0.5309, + "step": 17199 + }, + { + "epoch": 0.6, + "learning_rate": 6.861321918217343e-05, + "loss": 0.5464, + "step": 17200 + }, + { + "epoch": 0.6, + "eval_loss": 0.48956164717674255, + "eval_runtime": 851.6347, + "eval_samples_per_second": 28.252, + "eval_steps_per_second": 14.126, + "step": 17200 + }, + { + "epoch": 0.6, + "learning_rate": 6.860277379998372e-05, + "loss": 0.3965, + "step": 17201 + }, + { + "epoch": 0.6, + "learning_rate": 6.859232879780515e-05, + "loss": 0.5023, + "step": 17202 + }, + { + "epoch": 0.6, + "learning_rate": 6.858188417576407e-05, + "loss": 0.5849, + "step": 17203 + }, + { + "epoch": 0.6, + "learning_rate": 6.857143993398692e-05, + "loss": 0.5389, + "step": 17204 + }, + { + "epoch": 0.6, + "learning_rate": 6.856099607260014e-05, + "loss": 0.5322, + "step": 17205 + }, + { + "epoch": 0.6, + "learning_rate": 6.855055259173009e-05, + "loss": 0.5427, + "step": 17206 + }, + { + "epoch": 0.6, + "learning_rate": 6.854010949150318e-05, + "loss": 0.5303, + "step": 17207 + }, + { + "epoch": 0.6, + "learning_rate": 6.852966677204583e-05, + "loss": 0.5795, + "step": 17208 + }, + { + "epoch": 0.6, + "learning_rate": 6.85192244334844e-05, + "loss": 0.4408, + "step": 17209 + }, + { + "epoch": 0.6, + "learning_rate": 6.850878247594531e-05, + "loss": 0.46, + "step": 17210 + }, + { + "epoch": 0.6, + "learning_rate": 6.849834089955493e-05, + "loss": 0.4702, + "step": 17211 + }, + { + "epoch": 0.6, + "learning_rate": 6.848789970443961e-05, + "loss": 0.4802, + "step": 17212 + }, + { + "epoch": 0.6, + "learning_rate": 6.847745889072577e-05, + "loss": 0.5089, + "step": 17213 + }, + { + "epoch": 0.6, + "learning_rate": 6.846701845853973e-05, + "loss": 0.4817, + "step": 17214 + }, + { + "epoch": 0.6, + "learning_rate": 6.845657840800791e-05, + "loss": 0.5135, + "step": 17215 + }, + { + "epoch": 0.6, + "learning_rate": 6.844613873925664e-05, + "loss": 0.5349, + "step": 17216 + }, + { + "epoch": 0.6, + "learning_rate": 6.843569945241227e-05, + "loss": 0.547, + "step": 17217 + }, + { + "epoch": 0.6, + "learning_rate": 6.842526054760115e-05, + "loss": 0.4687, + "step": 17218 + }, + { + "epoch": 0.6, + "learning_rate": 6.84148220249496e-05, + "loss": 0.4607, + "step": 17219 + }, + { + "epoch": 0.6, + "learning_rate": 6.840438388458404e-05, + "loss": 0.5732, + "step": 17220 + }, + { + "epoch": 0.6, + "learning_rate": 6.839394612663074e-05, + "loss": 0.557, + "step": 17221 + }, + { + "epoch": 0.6, + "learning_rate": 6.838350875121603e-05, + "loss": 0.44, + "step": 17222 + }, + { + "epoch": 0.6, + "learning_rate": 6.837307175846628e-05, + "loss": 0.4846, + "step": 17223 + }, + { + "epoch": 0.6, + "learning_rate": 6.836263514850778e-05, + "loss": 0.5033, + "step": 17224 + }, + { + "epoch": 0.6, + "learning_rate": 6.835219892146685e-05, + "loss": 0.4701, + "step": 17225 + }, + { + "epoch": 0.6, + "learning_rate": 6.834176307746983e-05, + "loss": 0.4985, + "step": 17226 + }, + { + "epoch": 0.6, + "learning_rate": 6.833132761664298e-05, + "loss": 0.563, + "step": 17227 + }, + { + "epoch": 0.6, + "learning_rate": 6.832089253911264e-05, + "loss": 0.5124, + "step": 17228 + }, + { + "epoch": 0.6, + "learning_rate": 6.831045784500513e-05, + "loss": 0.5089, + "step": 17229 + }, + { + "epoch": 0.6, + "learning_rate": 6.830002353444668e-05, + "loss": 0.5147, + "step": 17230 + }, + { + "epoch": 0.6, + "learning_rate": 6.828958960756363e-05, + "loss": 0.5622, + "step": 17231 + }, + { + "epoch": 0.6, + "learning_rate": 6.827915606448223e-05, + "loss": 0.4344, + "step": 17232 + }, + { + "epoch": 0.6, + "learning_rate": 6.826872290532882e-05, + "loss": 0.5174, + "step": 17233 + }, + { + "epoch": 0.6, + "learning_rate": 6.825829013022962e-05, + "loss": 0.5047, + "step": 17234 + }, + { + "epoch": 0.6, + "learning_rate": 6.82478577393109e-05, + "loss": 0.4297, + "step": 17235 + }, + { + "epoch": 0.6, + "learning_rate": 6.823742573269898e-05, + "loss": 0.5584, + "step": 17236 + }, + { + "epoch": 0.6, + "learning_rate": 6.822699411052007e-05, + "loss": 0.5372, + "step": 17237 + }, + { + "epoch": 0.6, + "learning_rate": 6.821656287290044e-05, + "loss": 0.5377, + "step": 17238 + }, + { + "epoch": 0.6, + "learning_rate": 6.820613201996635e-05, + "loss": 0.4606, + "step": 17239 + }, + { + "epoch": 0.6, + "learning_rate": 6.819570155184405e-05, + "loss": 0.5779, + "step": 17240 + }, + { + "epoch": 0.6, + "learning_rate": 6.818527146865978e-05, + "loss": 0.4613, + "step": 17241 + }, + { + "epoch": 0.6, + "learning_rate": 6.817484177053979e-05, + "loss": 0.4406, + "step": 17242 + }, + { + "epoch": 0.6, + "learning_rate": 6.816441245761027e-05, + "loss": 0.6017, + "step": 17243 + }, + { + "epoch": 0.6, + "learning_rate": 6.81539835299975e-05, + "loss": 0.5759, + "step": 17244 + }, + { + "epoch": 0.6, + "learning_rate": 6.814355498782767e-05, + "loss": 0.4946, + "step": 17245 + }, + { + "epoch": 0.6, + "learning_rate": 6.813312683122705e-05, + "loss": 0.5863, + "step": 17246 + }, + { + "epoch": 0.6, + "learning_rate": 6.81226990603218e-05, + "loss": 0.5976, + "step": 17247 + }, + { + "epoch": 0.6, + "learning_rate": 6.811227167523815e-05, + "loss": 0.4649, + "step": 17248 + }, + { + "epoch": 0.6, + "learning_rate": 6.810184467610233e-05, + "loss": 0.4796, + "step": 17249 + }, + { + "epoch": 0.6, + "learning_rate": 6.80914180630405e-05, + "loss": 0.549, + "step": 17250 + }, + { + "epoch": 0.6, + "learning_rate": 6.808099183617889e-05, + "loss": 0.4773, + "step": 17251 + }, + { + "epoch": 0.6, + "learning_rate": 6.807056599564368e-05, + "loss": 0.4636, + "step": 17252 + }, + { + "epoch": 0.6, + "learning_rate": 6.806014054156102e-05, + "loss": 0.4801, + "step": 17253 + }, + { + "epoch": 0.6, + "learning_rate": 6.804971547405717e-05, + "loss": 0.4562, + "step": 17254 + }, + { + "epoch": 0.6, + "learning_rate": 6.803929079325826e-05, + "loss": 0.5118, + "step": 17255 + }, + { + "epoch": 0.6, + "learning_rate": 6.802886649929046e-05, + "loss": 0.4798, + "step": 17256 + }, + { + "epoch": 0.6, + "learning_rate": 6.801844259227996e-05, + "loss": 0.4817, + "step": 17257 + }, + { + "epoch": 0.6, + "learning_rate": 6.80080190723529e-05, + "loss": 0.4849, + "step": 17258 + }, + { + "epoch": 0.6, + "learning_rate": 6.799759593963547e-05, + "loss": 0.5106, + "step": 17259 + }, + { + "epoch": 0.6, + "learning_rate": 6.79871731942538e-05, + "loss": 0.4701, + "step": 17260 + }, + { + "epoch": 0.6, + "learning_rate": 6.797675083633405e-05, + "loss": 0.5051, + "step": 17261 + }, + { + "epoch": 0.6, + "learning_rate": 6.796632886600236e-05, + "loss": 0.5541, + "step": 17262 + }, + { + "epoch": 0.6, + "learning_rate": 6.795590728338485e-05, + "loss": 0.4685, + "step": 17263 + }, + { + "epoch": 0.6, + "learning_rate": 6.794548608860772e-05, + "loss": 0.5179, + "step": 17264 + }, + { + "epoch": 0.6, + "learning_rate": 6.793506528179705e-05, + "loss": 0.5533, + "step": 17265 + }, + { + "epoch": 0.6, + "learning_rate": 6.792464486307897e-05, + "loss": 0.5447, + "step": 17266 + }, + { + "epoch": 0.6, + "learning_rate": 6.791422483257961e-05, + "loss": 0.4929, + "step": 17267 + }, + { + "epoch": 0.6, + "learning_rate": 6.790380519042507e-05, + "loss": 0.4908, + "step": 17268 + }, + { + "epoch": 0.6, + "learning_rate": 6.78933859367415e-05, + "loss": 0.4671, + "step": 17269 + }, + { + "epoch": 0.6, + "learning_rate": 6.788296707165499e-05, + "loss": 0.5133, + "step": 17270 + }, + { + "epoch": 0.6, + "learning_rate": 6.787254859529162e-05, + "loss": 0.5629, + "step": 17271 + }, + { + "epoch": 0.6, + "learning_rate": 6.786213050777753e-05, + "loss": 0.4936, + "step": 17272 + }, + { + "epoch": 0.6, + "learning_rate": 6.785171280923877e-05, + "loss": 0.488, + "step": 17273 + }, + { + "epoch": 0.6, + "learning_rate": 6.784129549980144e-05, + "loss": 0.5227, + "step": 17274 + }, + { + "epoch": 0.6, + "learning_rate": 6.783087857959167e-05, + "loss": 0.4693, + "step": 17275 + }, + { + "epoch": 0.6, + "learning_rate": 6.782046204873547e-05, + "loss": 0.5478, + "step": 17276 + }, + { + "epoch": 0.6, + "learning_rate": 6.781004590735897e-05, + "loss": 0.4521, + "step": 17277 + }, + { + "epoch": 0.6, + "learning_rate": 6.779963015558821e-05, + "loss": 0.5736, + "step": 17278 + }, + { + "epoch": 0.6, + "learning_rate": 6.778921479354925e-05, + "loss": 0.5165, + "step": 17279 + }, + { + "epoch": 0.6, + "learning_rate": 6.77787998213682e-05, + "loss": 0.5038, + "step": 17280 + }, + { + "epoch": 0.6, + "learning_rate": 6.776838523917104e-05, + "loss": 0.4726, + "step": 17281 + }, + { + "epoch": 0.6, + "learning_rate": 6.775797104708388e-05, + "loss": 0.572, + "step": 17282 + }, + { + "epoch": 0.6, + "learning_rate": 6.774755724523275e-05, + "loss": 0.5318, + "step": 17283 + }, + { + "epoch": 0.6, + "learning_rate": 6.773714383374368e-05, + "loss": 0.4937, + "step": 17284 + }, + { + "epoch": 0.6, + "learning_rate": 6.772673081274273e-05, + "loss": 0.4744, + "step": 17285 + }, + { + "epoch": 0.6, + "learning_rate": 6.771631818235588e-05, + "loss": 0.506, + "step": 17286 + }, + { + "epoch": 0.6, + "learning_rate": 6.770590594270924e-05, + "loss": 0.4567, + "step": 17287 + }, + { + "epoch": 0.6, + "learning_rate": 6.769549409392878e-05, + "loss": 0.5671, + "step": 17288 + }, + { + "epoch": 0.61, + "learning_rate": 6.768508263614051e-05, + "loss": 0.6048, + "step": 17289 + }, + { + "epoch": 0.61, + "learning_rate": 6.767467156947049e-05, + "loss": 0.4504, + "step": 17290 + }, + { + "epoch": 0.61, + "learning_rate": 6.766426089404467e-05, + "loss": 0.5362, + "step": 17291 + }, + { + "epoch": 0.61, + "learning_rate": 6.765385060998909e-05, + "loss": 0.5045, + "step": 17292 + }, + { + "epoch": 0.61, + "learning_rate": 6.764344071742976e-05, + "loss": 0.5368, + "step": 17293 + }, + { + "epoch": 0.61, + "learning_rate": 6.763303121649263e-05, + "loss": 0.4531, + "step": 17294 + }, + { + "epoch": 0.61, + "learning_rate": 6.762262210730373e-05, + "loss": 0.506, + "step": 17295 + }, + { + "epoch": 0.61, + "learning_rate": 6.761221338998903e-05, + "loss": 0.4814, + "step": 17296 + }, + { + "epoch": 0.61, + "learning_rate": 6.76018050646745e-05, + "loss": 0.4914, + "step": 17297 + }, + { + "epoch": 0.61, + "learning_rate": 6.759139713148614e-05, + "loss": 0.5439, + "step": 17298 + }, + { + "epoch": 0.61, + "learning_rate": 6.75809895905499e-05, + "loss": 0.5475, + "step": 17299 + }, + { + "epoch": 0.61, + "learning_rate": 6.757058244199176e-05, + "loss": 0.506, + "step": 17300 + }, + { + "epoch": 0.61, + "learning_rate": 6.756017568593768e-05, + "loss": 0.5035, + "step": 17301 + }, + { + "epoch": 0.61, + "learning_rate": 6.754976932251359e-05, + "loss": 0.4604, + "step": 17302 + }, + { + "epoch": 0.61, + "learning_rate": 6.753936335184547e-05, + "loss": 0.4885, + "step": 17303 + }, + { + "epoch": 0.61, + "learning_rate": 6.752895777405928e-05, + "loss": 0.4915, + "step": 17304 + }, + { + "epoch": 0.61, + "learning_rate": 6.75185525892809e-05, + "loss": 0.5307, + "step": 17305 + }, + { + "epoch": 0.61, + "learning_rate": 6.750814779763634e-05, + "loss": 0.5144, + "step": 17306 + }, + { + "epoch": 0.61, + "learning_rate": 6.74977433992515e-05, + "loss": 0.5479, + "step": 17307 + }, + { + "epoch": 0.61, + "learning_rate": 6.74873393942523e-05, + "loss": 0.4657, + "step": 17308 + }, + { + "epoch": 0.61, + "learning_rate": 6.747693578276469e-05, + "loss": 0.5135, + "step": 17309 + }, + { + "epoch": 0.61, + "learning_rate": 6.746653256491454e-05, + "loss": 0.5199, + "step": 17310 + }, + { + "epoch": 0.61, + "learning_rate": 6.745612974082782e-05, + "loss": 0.4941, + "step": 17311 + }, + { + "epoch": 0.61, + "learning_rate": 6.744572731063038e-05, + "loss": 0.4499, + "step": 17312 + }, + { + "epoch": 0.61, + "learning_rate": 6.74353252744482e-05, + "loss": 0.4369, + "step": 17313 + }, + { + "epoch": 0.61, + "learning_rate": 6.742492363240714e-05, + "loss": 0.4325, + "step": 17314 + }, + { + "epoch": 0.61, + "learning_rate": 6.741452238463306e-05, + "loss": 0.4361, + "step": 17315 + }, + { + "epoch": 0.61, + "learning_rate": 6.74041215312519e-05, + "loss": 0.438, + "step": 17316 + }, + { + "epoch": 0.61, + "learning_rate": 6.73937210723895e-05, + "loss": 0.5193, + "step": 17317 + }, + { + "epoch": 0.61, + "learning_rate": 6.73833210081718e-05, + "loss": 0.5721, + "step": 17318 + }, + { + "epoch": 0.61, + "learning_rate": 6.737292133872464e-05, + "loss": 0.4263, + "step": 17319 + }, + { + "epoch": 0.61, + "learning_rate": 6.736252206417386e-05, + "loss": 0.5868, + "step": 17320 + }, + { + "epoch": 0.61, + "learning_rate": 6.735212318464539e-05, + "loss": 0.5096, + "step": 17321 + }, + { + "epoch": 0.61, + "learning_rate": 6.734172470026505e-05, + "loss": 0.5199, + "step": 17322 + }, + { + "epoch": 0.61, + "learning_rate": 6.73313266111587e-05, + "loss": 0.4618, + "step": 17323 + }, + { + "epoch": 0.61, + "learning_rate": 6.732092891745221e-05, + "loss": 0.449, + "step": 17324 + }, + { + "epoch": 0.61, + "learning_rate": 6.73105316192714e-05, + "loss": 0.5136, + "step": 17325 + }, + { + "epoch": 0.61, + "learning_rate": 6.730013471674213e-05, + "loss": 0.4747, + "step": 17326 + }, + { + "epoch": 0.61, + "learning_rate": 6.728973820999023e-05, + "loss": 0.3874, + "step": 17327 + }, + { + "epoch": 0.61, + "learning_rate": 6.727934209914153e-05, + "loss": 0.4592, + "step": 17328 + }, + { + "epoch": 0.61, + "learning_rate": 6.726894638432191e-05, + "loss": 0.4874, + "step": 17329 + }, + { + "epoch": 0.61, + "learning_rate": 6.725855106565712e-05, + "loss": 0.3892, + "step": 17330 + }, + { + "epoch": 0.61, + "learning_rate": 6.7248156143273e-05, + "loss": 0.478, + "step": 17331 + }, + { + "epoch": 0.61, + "learning_rate": 6.723776161729535e-05, + "loss": 0.5381, + "step": 17332 + }, + { + "epoch": 0.61, + "learning_rate": 6.722736748785002e-05, + "loss": 0.624, + "step": 17333 + }, + { + "epoch": 0.61, + "learning_rate": 6.721697375506275e-05, + "loss": 0.4896, + "step": 17334 + }, + { + "epoch": 0.61, + "learning_rate": 6.720658041905942e-05, + "loss": 0.5452, + "step": 17335 + }, + { + "epoch": 0.61, + "learning_rate": 6.719618747996577e-05, + "loss": 0.6545, + "step": 17336 + }, + { + "epoch": 0.61, + "learning_rate": 6.718579493790759e-05, + "loss": 0.444, + "step": 17337 + }, + { + "epoch": 0.61, + "learning_rate": 6.717540279301069e-05, + "loss": 0.4631, + "step": 17338 + }, + { + "epoch": 0.61, + "learning_rate": 6.716501104540084e-05, + "loss": 0.6553, + "step": 17339 + }, + { + "epoch": 0.61, + "learning_rate": 6.715461969520378e-05, + "loss": 0.5549, + "step": 17340 + }, + { + "epoch": 0.61, + "learning_rate": 6.714422874254534e-05, + "loss": 0.5561, + "step": 17341 + }, + { + "epoch": 0.61, + "learning_rate": 6.713383818755124e-05, + "loss": 0.6164, + "step": 17342 + }, + { + "epoch": 0.61, + "learning_rate": 6.712344803034727e-05, + "loss": 0.5816, + "step": 17343 + }, + { + "epoch": 0.61, + "learning_rate": 6.711305827105915e-05, + "loss": 0.5085, + "step": 17344 + }, + { + "epoch": 0.61, + "learning_rate": 6.710266890981265e-05, + "loss": 0.4585, + "step": 17345 + }, + { + "epoch": 0.61, + "learning_rate": 6.709227994673355e-05, + "loss": 0.4991, + "step": 17346 + }, + { + "epoch": 0.61, + "learning_rate": 6.708189138194753e-05, + "loss": 0.5457, + "step": 17347 + }, + { + "epoch": 0.61, + "learning_rate": 6.707150321558038e-05, + "loss": 0.52, + "step": 17348 + }, + { + "epoch": 0.61, + "learning_rate": 6.70611154477578e-05, + "loss": 0.596, + "step": 17349 + }, + { + "epoch": 0.61, + "learning_rate": 6.705072807860549e-05, + "loss": 0.4189, + "step": 17350 + }, + { + "epoch": 0.61, + "learning_rate": 6.704034110824924e-05, + "loss": 0.4657, + "step": 17351 + }, + { + "epoch": 0.61, + "learning_rate": 6.702995453681471e-05, + "loss": 0.5015, + "step": 17352 + }, + { + "epoch": 0.61, + "learning_rate": 6.701956836442766e-05, + "loss": 0.4575, + "step": 17353 + }, + { + "epoch": 0.61, + "learning_rate": 6.700918259121376e-05, + "loss": 0.5229, + "step": 17354 + }, + { + "epoch": 0.61, + "learning_rate": 6.699879721729871e-05, + "loss": 0.4949, + "step": 17355 + }, + { + "epoch": 0.61, + "learning_rate": 6.698841224280824e-05, + "loss": 0.4096, + "step": 17356 + }, + { + "epoch": 0.61, + "learning_rate": 6.697802766786803e-05, + "loss": 0.5168, + "step": 17357 + }, + { + "epoch": 0.61, + "learning_rate": 6.696764349260374e-05, + "loss": 0.4809, + "step": 17358 + }, + { + "epoch": 0.61, + "learning_rate": 6.695725971714108e-05, + "loss": 0.5089, + "step": 17359 + }, + { + "epoch": 0.61, + "learning_rate": 6.694687634160572e-05, + "loss": 0.5031, + "step": 17360 + }, + { + "epoch": 0.61, + "learning_rate": 6.693649336612336e-05, + "loss": 0.4705, + "step": 17361 + }, + { + "epoch": 0.61, + "learning_rate": 6.692611079081962e-05, + "loss": 0.5339, + "step": 17362 + }, + { + "epoch": 0.61, + "learning_rate": 6.69157286158202e-05, + "loss": 0.4615, + "step": 17363 + }, + { + "epoch": 0.61, + "learning_rate": 6.690534684125076e-05, + "loss": 0.4454, + "step": 17364 + }, + { + "epoch": 0.61, + "learning_rate": 6.689496546723692e-05, + "loss": 0.4519, + "step": 17365 + }, + { + "epoch": 0.61, + "learning_rate": 6.688458449390437e-05, + "loss": 0.5072, + "step": 17366 + }, + { + "epoch": 0.61, + "learning_rate": 6.687420392137874e-05, + "loss": 0.4292, + "step": 17367 + }, + { + "epoch": 0.61, + "learning_rate": 6.686382374978564e-05, + "loss": 0.5379, + "step": 17368 + }, + { + "epoch": 0.61, + "learning_rate": 6.685344397925076e-05, + "loss": 0.5183, + "step": 17369 + }, + { + "epoch": 0.61, + "learning_rate": 6.684306460989968e-05, + "loss": 0.5442, + "step": 17370 + }, + { + "epoch": 0.61, + "learning_rate": 6.683268564185805e-05, + "loss": 0.4785, + "step": 17371 + }, + { + "epoch": 0.61, + "learning_rate": 6.68223070752515e-05, + "loss": 0.5431, + "step": 17372 + }, + { + "epoch": 0.61, + "learning_rate": 6.68119289102056e-05, + "loss": 0.4471, + "step": 17373 + }, + { + "epoch": 0.61, + "learning_rate": 6.680155114684602e-05, + "loss": 0.4706, + "step": 17374 + }, + { + "epoch": 0.61, + "learning_rate": 6.679117378529833e-05, + "loss": 0.5472, + "step": 17375 + }, + { + "epoch": 0.61, + "learning_rate": 6.678079682568812e-05, + "loss": 0.4694, + "step": 17376 + }, + { + "epoch": 0.61, + "learning_rate": 6.677042026814102e-05, + "loss": 0.6059, + "step": 17377 + }, + { + "epoch": 0.61, + "learning_rate": 6.676004411278259e-05, + "loss": 0.5296, + "step": 17378 + }, + { + "epoch": 0.61, + "learning_rate": 6.674966835973847e-05, + "loss": 0.4398, + "step": 17379 + }, + { + "epoch": 0.61, + "learning_rate": 6.673929300913417e-05, + "loss": 0.4989, + "step": 17380 + }, + { + "epoch": 0.61, + "learning_rate": 6.672891806109527e-05, + "loss": 0.5155, + "step": 17381 + }, + { + "epoch": 0.61, + "learning_rate": 6.671854351574742e-05, + "loss": 0.4303, + "step": 17382 + }, + { + "epoch": 0.61, + "learning_rate": 6.67081693732161e-05, + "loss": 0.4832, + "step": 17383 + }, + { + "epoch": 0.61, + "learning_rate": 6.669779563362692e-05, + "loss": 0.4709, + "step": 17384 + }, + { + "epoch": 0.61, + "learning_rate": 6.668742229710543e-05, + "loss": 0.4475, + "step": 17385 + }, + { + "epoch": 0.61, + "learning_rate": 6.667704936377716e-05, + "loss": 0.5378, + "step": 17386 + }, + { + "epoch": 0.61, + "learning_rate": 6.666667683376768e-05, + "loss": 0.522, + "step": 17387 + }, + { + "epoch": 0.61, + "learning_rate": 6.665630470720254e-05, + "loss": 0.5436, + "step": 17388 + }, + { + "epoch": 0.61, + "learning_rate": 6.664593298420725e-05, + "loss": 0.4187, + "step": 17389 + }, + { + "epoch": 0.61, + "learning_rate": 6.663556166490735e-05, + "loss": 0.5603, + "step": 17390 + }, + { + "epoch": 0.61, + "learning_rate": 6.662519074942837e-05, + "loss": 0.4861, + "step": 17391 + }, + { + "epoch": 0.61, + "learning_rate": 6.661482023789584e-05, + "loss": 0.4964, + "step": 17392 + }, + { + "epoch": 0.61, + "learning_rate": 6.66044501304353e-05, + "loss": 0.5012, + "step": 17393 + }, + { + "epoch": 0.61, + "learning_rate": 6.659408042717219e-05, + "loss": 0.5247, + "step": 17394 + }, + { + "epoch": 0.61, + "learning_rate": 6.65837111282321e-05, + "loss": 0.5477, + "step": 17395 + }, + { + "epoch": 0.61, + "learning_rate": 6.657334223374048e-05, + "loss": 0.5354, + "step": 17396 + }, + { + "epoch": 0.61, + "learning_rate": 6.656297374382286e-05, + "loss": 0.4139, + "step": 17397 + }, + { + "epoch": 0.61, + "learning_rate": 6.65526056586047e-05, + "loss": 0.4731, + "step": 17398 + }, + { + "epoch": 0.61, + "learning_rate": 6.65422379782115e-05, + "loss": 0.5429, + "step": 17399 + }, + { + "epoch": 0.61, + "learning_rate": 6.653187070276877e-05, + "loss": 0.5093, + "step": 17400 + }, + { + "epoch": 0.61, + "eval_loss": 0.4857846200466156, + "eval_runtime": 850.6335, + "eval_samples_per_second": 28.285, + "eval_steps_per_second": 14.142, + "step": 17400 + }, + { + "epoch": 0.61, + "learning_rate": 6.652150383240196e-05, + "loss": 0.4686, + "step": 17401 + }, + { + "epoch": 0.61, + "learning_rate": 6.651113736723655e-05, + "loss": 0.4352, + "step": 17402 + }, + { + "epoch": 0.61, + "learning_rate": 6.650077130739803e-05, + "loss": 0.5403, + "step": 17403 + }, + { + "epoch": 0.61, + "learning_rate": 6.649040565301181e-05, + "loss": 0.5128, + "step": 17404 + }, + { + "epoch": 0.61, + "learning_rate": 6.648004040420341e-05, + "loss": 0.4155, + "step": 17405 + }, + { + "epoch": 0.61, + "learning_rate": 6.646967556109826e-05, + "loss": 0.4982, + "step": 17406 + }, + { + "epoch": 0.61, + "learning_rate": 6.64593111238218e-05, + "loss": 0.4056, + "step": 17407 + }, + { + "epoch": 0.61, + "learning_rate": 6.644894709249949e-05, + "loss": 0.594, + "step": 17408 + }, + { + "epoch": 0.61, + "learning_rate": 6.643858346725674e-05, + "loss": 0.522, + "step": 17409 + }, + { + "epoch": 0.61, + "learning_rate": 6.642822024821902e-05, + "loss": 0.5131, + "step": 17410 + }, + { + "epoch": 0.61, + "learning_rate": 6.641785743551176e-05, + "loss": 0.6002, + "step": 17411 + }, + { + "epoch": 0.61, + "learning_rate": 6.640749502926033e-05, + "loss": 0.5761, + "step": 17412 + }, + { + "epoch": 0.61, + "learning_rate": 6.639713302959023e-05, + "loss": 0.544, + "step": 17413 + }, + { + "epoch": 0.61, + "learning_rate": 6.63867714366268e-05, + "loss": 0.4913, + "step": 17414 + }, + { + "epoch": 0.61, + "learning_rate": 6.637641025049551e-05, + "loss": 0.5037, + "step": 17415 + }, + { + "epoch": 0.61, + "learning_rate": 6.636604947132173e-05, + "loss": 0.5587, + "step": 17416 + }, + { + "epoch": 0.61, + "learning_rate": 6.635568909923087e-05, + "loss": 0.4355, + "step": 17417 + }, + { + "epoch": 0.61, + "learning_rate": 6.634532913434832e-05, + "loss": 0.5238, + "step": 17418 + }, + { + "epoch": 0.61, + "learning_rate": 6.633496957679946e-05, + "loss": 0.4425, + "step": 17419 + }, + { + "epoch": 0.61, + "learning_rate": 6.63246104267097e-05, + "loss": 0.6084, + "step": 17420 + }, + { + "epoch": 0.61, + "learning_rate": 6.631425168420443e-05, + "loss": 0.4731, + "step": 17421 + }, + { + "epoch": 0.61, + "learning_rate": 6.630389334940898e-05, + "loss": 0.4933, + "step": 17422 + }, + { + "epoch": 0.61, + "learning_rate": 6.629353542244875e-05, + "loss": 0.4743, + "step": 17423 + }, + { + "epoch": 0.61, + "learning_rate": 6.628317790344911e-05, + "loss": 0.4232, + "step": 17424 + }, + { + "epoch": 0.61, + "learning_rate": 6.627282079253538e-05, + "loss": 0.4942, + "step": 17425 + }, + { + "epoch": 0.61, + "learning_rate": 6.6262464089833e-05, + "loss": 0.4914, + "step": 17426 + }, + { + "epoch": 0.61, + "learning_rate": 6.62521077954672e-05, + "loss": 0.4612, + "step": 17427 + }, + { + "epoch": 0.61, + "learning_rate": 6.624175190956344e-05, + "loss": 0.4867, + "step": 17428 + }, + { + "epoch": 0.61, + "learning_rate": 6.623139643224701e-05, + "loss": 0.3693, + "step": 17429 + }, + { + "epoch": 0.61, + "learning_rate": 6.622104136364323e-05, + "loss": 0.5158, + "step": 17430 + }, + { + "epoch": 0.61, + "learning_rate": 6.621068670387747e-05, + "loss": 0.5899, + "step": 17431 + }, + { + "epoch": 0.61, + "learning_rate": 6.620033245307501e-05, + "loss": 0.4657, + "step": 17432 + }, + { + "epoch": 0.61, + "learning_rate": 6.618997861136123e-05, + "loss": 0.5595, + "step": 17433 + }, + { + "epoch": 0.61, + "learning_rate": 6.617962517886139e-05, + "loss": 0.5537, + "step": 17434 + }, + { + "epoch": 0.61, + "learning_rate": 6.616927215570082e-05, + "loss": 0.493, + "step": 17435 + }, + { + "epoch": 0.61, + "learning_rate": 6.615891954200485e-05, + "loss": 0.4658, + "step": 17436 + }, + { + "epoch": 0.61, + "learning_rate": 6.614856733789874e-05, + "loss": 0.4033, + "step": 17437 + }, + { + "epoch": 0.61, + "learning_rate": 6.613821554350782e-05, + "loss": 0.4425, + "step": 17438 + }, + { + "epoch": 0.61, + "learning_rate": 6.612786415895738e-05, + "loss": 0.5308, + "step": 17439 + }, + { + "epoch": 0.61, + "learning_rate": 6.611751318437266e-05, + "loss": 0.4693, + "step": 17440 + }, + { + "epoch": 0.61, + "learning_rate": 6.6107162619879e-05, + "loss": 0.4509, + "step": 17441 + }, + { + "epoch": 0.61, + "learning_rate": 6.609681246560167e-05, + "loss": 0.47, + "step": 17442 + }, + { + "epoch": 0.61, + "learning_rate": 6.608646272166588e-05, + "loss": 0.4969, + "step": 17443 + }, + { + "epoch": 0.61, + "learning_rate": 6.607611338819697e-05, + "loss": 0.5181, + "step": 17444 + }, + { + "epoch": 0.61, + "learning_rate": 6.606576446532016e-05, + "loss": 0.4207, + "step": 17445 + }, + { + "epoch": 0.61, + "learning_rate": 6.605541595316073e-05, + "loss": 0.4565, + "step": 17446 + }, + { + "epoch": 0.61, + "learning_rate": 6.604506785184392e-05, + "loss": 0.519, + "step": 17447 + }, + { + "epoch": 0.61, + "learning_rate": 6.603472016149494e-05, + "loss": 0.5069, + "step": 17448 + }, + { + "epoch": 0.61, + "learning_rate": 6.602437288223911e-05, + "loss": 0.5791, + "step": 17449 + }, + { + "epoch": 0.61, + "learning_rate": 6.60140260142016e-05, + "loss": 0.4619, + "step": 17450 + }, + { + "epoch": 0.61, + "learning_rate": 6.600367955750768e-05, + "loss": 0.5524, + "step": 17451 + }, + { + "epoch": 0.61, + "learning_rate": 6.599333351228257e-05, + "loss": 0.5769, + "step": 17452 + }, + { + "epoch": 0.61, + "learning_rate": 6.598298787865147e-05, + "loss": 0.559, + "step": 17453 + }, + { + "epoch": 0.61, + "learning_rate": 6.597264265673962e-05, + "loss": 0.5078, + "step": 17454 + }, + { + "epoch": 0.61, + "learning_rate": 6.596229784667222e-05, + "loss": 0.5345, + "step": 17455 + }, + { + "epoch": 0.61, + "learning_rate": 6.595195344857445e-05, + "loss": 0.4045, + "step": 17456 + }, + { + "epoch": 0.61, + "learning_rate": 6.594160946257158e-05, + "loss": 0.5877, + "step": 17457 + }, + { + "epoch": 0.61, + "learning_rate": 6.593126588878875e-05, + "loss": 0.5753, + "step": 17458 + }, + { + "epoch": 0.61, + "learning_rate": 6.592092272735117e-05, + "loss": 0.4428, + "step": 17459 + }, + { + "epoch": 0.61, + "learning_rate": 6.591057997838403e-05, + "loss": 0.4294, + "step": 17460 + }, + { + "epoch": 0.61, + "learning_rate": 6.59002376420125e-05, + "loss": 0.5378, + "step": 17461 + }, + { + "epoch": 0.61, + "learning_rate": 6.588989571836177e-05, + "loss": 0.4514, + "step": 17462 + }, + { + "epoch": 0.61, + "learning_rate": 6.5879554207557e-05, + "loss": 0.5052, + "step": 17463 + }, + { + "epoch": 0.61, + "learning_rate": 6.586921310972342e-05, + "loss": 0.484, + "step": 17464 + }, + { + "epoch": 0.61, + "learning_rate": 6.585887242498607e-05, + "loss": 0.5915, + "step": 17465 + }, + { + "epoch": 0.61, + "learning_rate": 6.584853215347019e-05, + "loss": 0.4413, + "step": 17466 + }, + { + "epoch": 0.61, + "learning_rate": 6.583819229530089e-05, + "loss": 0.4948, + "step": 17467 + }, + { + "epoch": 0.61, + "learning_rate": 6.582785285060338e-05, + "loss": 0.4484, + "step": 17468 + }, + { + "epoch": 0.61, + "learning_rate": 6.581751381950274e-05, + "loss": 0.4988, + "step": 17469 + }, + { + "epoch": 0.61, + "learning_rate": 6.580717520212412e-05, + "loss": 0.507, + "step": 17470 + }, + { + "epoch": 0.61, + "learning_rate": 6.579683699859267e-05, + "loss": 0.4324, + "step": 17471 + }, + { + "epoch": 0.61, + "learning_rate": 6.57864992090335e-05, + "loss": 0.47, + "step": 17472 + }, + { + "epoch": 0.61, + "learning_rate": 6.577616183357173e-05, + "loss": 0.5344, + "step": 17473 + }, + { + "epoch": 0.61, + "learning_rate": 6.576582487233251e-05, + "loss": 0.4315, + "step": 17474 + }, + { + "epoch": 0.61, + "learning_rate": 6.575548832544091e-05, + "loss": 0.5062, + "step": 17475 + }, + { + "epoch": 0.61, + "learning_rate": 6.574515219302206e-05, + "loss": 0.4465, + "step": 17476 + }, + { + "epoch": 0.61, + "learning_rate": 6.573481647520108e-05, + "loss": 0.4578, + "step": 17477 + }, + { + "epoch": 0.61, + "learning_rate": 6.572448117210299e-05, + "loss": 0.46, + "step": 17478 + }, + { + "epoch": 0.61, + "learning_rate": 6.571414628385298e-05, + "loss": 0.5307, + "step": 17479 + }, + { + "epoch": 0.61, + "learning_rate": 6.570381181057606e-05, + "loss": 0.4884, + "step": 17480 + }, + { + "epoch": 0.61, + "learning_rate": 6.569347775239735e-05, + "loss": 0.5192, + "step": 17481 + }, + { + "epoch": 0.61, + "learning_rate": 6.568314410944192e-05, + "loss": 0.4518, + "step": 17482 + }, + { + "epoch": 0.61, + "learning_rate": 6.567281088183484e-05, + "loss": 0.5279, + "step": 17483 + }, + { + "epoch": 0.61, + "learning_rate": 6.566247806970119e-05, + "loss": 0.5284, + "step": 17484 + }, + { + "epoch": 0.61, + "learning_rate": 6.565214567316598e-05, + "loss": 0.4409, + "step": 17485 + }, + { + "epoch": 0.61, + "learning_rate": 6.564181369235433e-05, + "loss": 0.5044, + "step": 17486 + }, + { + "epoch": 0.61, + "learning_rate": 6.563148212739127e-05, + "loss": 0.4056, + "step": 17487 + }, + { + "epoch": 0.61, + "learning_rate": 6.562115097840182e-05, + "loss": 0.6113, + "step": 17488 + }, + { + "epoch": 0.61, + "learning_rate": 6.561082024551107e-05, + "loss": 0.5071, + "step": 17489 + }, + { + "epoch": 0.61, + "learning_rate": 6.560048992884403e-05, + "loss": 0.4378, + "step": 17490 + }, + { + "epoch": 0.61, + "learning_rate": 6.559016002852571e-05, + "loss": 0.4606, + "step": 17491 + }, + { + "epoch": 0.61, + "learning_rate": 6.557983054468117e-05, + "loss": 0.4922, + "step": 17492 + }, + { + "epoch": 0.61, + "learning_rate": 6.556950147743542e-05, + "loss": 0.4981, + "step": 17493 + }, + { + "epoch": 0.61, + "learning_rate": 6.555917282691347e-05, + "loss": 0.531, + "step": 17494 + }, + { + "epoch": 0.61, + "learning_rate": 6.554884459324033e-05, + "loss": 0.5337, + "step": 17495 + }, + { + "epoch": 0.61, + "learning_rate": 6.553851677654102e-05, + "loss": 0.5173, + "step": 17496 + }, + { + "epoch": 0.61, + "learning_rate": 6.552818937694053e-05, + "loss": 0.4131, + "step": 17497 + }, + { + "epoch": 0.61, + "learning_rate": 6.551786239456384e-05, + "loss": 0.478, + "step": 17498 + }, + { + "epoch": 0.61, + "learning_rate": 6.5507535829536e-05, + "loss": 0.4738, + "step": 17499 + }, + { + "epoch": 0.61, + "learning_rate": 6.549720968198193e-05, + "loss": 0.5137, + "step": 17500 + }, + { + "epoch": 0.61, + "learning_rate": 6.548688395202662e-05, + "loss": 0.4871, + "step": 17501 + }, + { + "epoch": 0.61, + "learning_rate": 6.547655863979509e-05, + "loss": 0.485, + "step": 17502 + }, + { + "epoch": 0.61, + "learning_rate": 6.546623374541227e-05, + "loss": 0.5041, + "step": 17503 + }, + { + "epoch": 0.61, + "learning_rate": 6.545590926900315e-05, + "loss": 0.5414, + "step": 17504 + }, + { + "epoch": 0.61, + "learning_rate": 6.544558521069267e-05, + "loss": 0.5585, + "step": 17505 + }, + { + "epoch": 0.61, + "learning_rate": 6.543526157060578e-05, + "loss": 0.4989, + "step": 17506 + }, + { + "epoch": 0.61, + "learning_rate": 6.542493834886747e-05, + "loss": 0.4893, + "step": 17507 + }, + { + "epoch": 0.61, + "learning_rate": 6.541461554560267e-05, + "loss": 0.4607, + "step": 17508 + }, + { + "epoch": 0.61, + "learning_rate": 6.540429316093627e-05, + "loss": 0.4557, + "step": 17509 + }, + { + "epoch": 0.61, + "learning_rate": 6.539397119499326e-05, + "loss": 0.5284, + "step": 17510 + }, + { + "epoch": 0.61, + "learning_rate": 6.538364964789855e-05, + "loss": 0.4733, + "step": 17511 + }, + { + "epoch": 0.61, + "learning_rate": 6.537332851977711e-05, + "loss": 0.427, + "step": 17512 + }, + { + "epoch": 0.61, + "learning_rate": 6.53630078107538e-05, + "loss": 0.5184, + "step": 17513 + }, + { + "epoch": 0.61, + "learning_rate": 6.535268752095353e-05, + "loss": 0.5104, + "step": 17514 + }, + { + "epoch": 0.61, + "learning_rate": 6.534236765050127e-05, + "loss": 0.4457, + "step": 17515 + }, + { + "epoch": 0.61, + "learning_rate": 6.533204819952185e-05, + "loss": 0.4829, + "step": 17516 + }, + { + "epoch": 0.61, + "learning_rate": 6.532172916814025e-05, + "loss": 0.472, + "step": 17517 + }, + { + "epoch": 0.61, + "learning_rate": 6.531141055648133e-05, + "loss": 0.4166, + "step": 17518 + }, + { + "epoch": 0.61, + "learning_rate": 6.530109236466995e-05, + "loss": 0.4928, + "step": 17519 + }, + { + "epoch": 0.61, + "learning_rate": 6.529077459283105e-05, + "loss": 0.4722, + "step": 17520 + }, + { + "epoch": 0.61, + "learning_rate": 6.528045724108942e-05, + "loss": 0.4982, + "step": 17521 + }, + { + "epoch": 0.61, + "learning_rate": 6.527014030957004e-05, + "loss": 0.5482, + "step": 17522 + }, + { + "epoch": 0.61, + "learning_rate": 6.525982379839774e-05, + "loss": 0.535, + "step": 17523 + }, + { + "epoch": 0.61, + "learning_rate": 6.524950770769735e-05, + "loss": 0.4847, + "step": 17524 + }, + { + "epoch": 0.61, + "learning_rate": 6.523919203759377e-05, + "loss": 0.5954, + "step": 17525 + }, + { + "epoch": 0.61, + "learning_rate": 6.522887678821184e-05, + "loss": 0.4474, + "step": 17526 + }, + { + "epoch": 0.61, + "learning_rate": 6.52185619596764e-05, + "loss": 0.4955, + "step": 17527 + }, + { + "epoch": 0.61, + "learning_rate": 6.52082475521123e-05, + "loss": 0.4526, + "step": 17528 + }, + { + "epoch": 0.61, + "learning_rate": 6.519793356564439e-05, + "loss": 0.455, + "step": 17529 + }, + { + "epoch": 0.61, + "learning_rate": 6.518762000039748e-05, + "loss": 0.5135, + "step": 17530 + }, + { + "epoch": 0.61, + "learning_rate": 6.517730685649645e-05, + "loss": 0.4291, + "step": 17531 + }, + { + "epoch": 0.61, + "learning_rate": 6.516699413406604e-05, + "loss": 0.5107, + "step": 17532 + }, + { + "epoch": 0.61, + "learning_rate": 6.515668183323115e-05, + "loss": 0.5443, + "step": 17533 + }, + { + "epoch": 0.61, + "learning_rate": 6.514636995411654e-05, + "loss": 0.4796, + "step": 17534 + }, + { + "epoch": 0.61, + "learning_rate": 6.513605849684704e-05, + "loss": 0.4908, + "step": 17535 + }, + { + "epoch": 0.61, + "learning_rate": 6.512574746154746e-05, + "loss": 0.4627, + "step": 17536 + }, + { + "epoch": 0.61, + "learning_rate": 6.511543684834256e-05, + "loss": 0.4876, + "step": 17537 + }, + { + "epoch": 0.61, + "learning_rate": 6.510512665735719e-05, + "loss": 0.6038, + "step": 17538 + }, + { + "epoch": 0.61, + "learning_rate": 6.509481688871608e-05, + "loss": 0.4526, + "step": 17539 + }, + { + "epoch": 0.61, + "learning_rate": 6.508450754254407e-05, + "loss": 0.5954, + "step": 17540 + }, + { + "epoch": 0.61, + "learning_rate": 6.507419861896591e-05, + "loss": 0.4477, + "step": 17541 + }, + { + "epoch": 0.61, + "learning_rate": 6.506389011810634e-05, + "loss": 0.5191, + "step": 17542 + }, + { + "epoch": 0.61, + "learning_rate": 6.505358204009017e-05, + "loss": 0.5705, + "step": 17543 + }, + { + "epoch": 0.61, + "learning_rate": 6.504327438504216e-05, + "loss": 0.5769, + "step": 17544 + }, + { + "epoch": 0.61, + "learning_rate": 6.503296715308704e-05, + "loss": 0.3939, + "step": 17545 + }, + { + "epoch": 0.61, + "learning_rate": 6.50226603443496e-05, + "loss": 0.4988, + "step": 17546 + }, + { + "epoch": 0.61, + "learning_rate": 6.501235395895453e-05, + "loss": 0.4727, + "step": 17547 + }, + { + "epoch": 0.61, + "learning_rate": 6.500204799702664e-05, + "loss": 0.4299, + "step": 17548 + }, + { + "epoch": 0.61, + "learning_rate": 6.499174245869061e-05, + "loss": 0.5259, + "step": 17549 + }, + { + "epoch": 0.61, + "learning_rate": 6.49814373440712e-05, + "loss": 0.5361, + "step": 17550 + }, + { + "epoch": 0.61, + "learning_rate": 6.497113265329316e-05, + "loss": 0.4656, + "step": 17551 + }, + { + "epoch": 0.61, + "learning_rate": 6.496082838648114e-05, + "loss": 0.4698, + "step": 17552 + }, + { + "epoch": 0.61, + "learning_rate": 6.495052454375992e-05, + "loss": 0.4528, + "step": 17553 + }, + { + "epoch": 0.61, + "learning_rate": 6.49402211252542e-05, + "loss": 0.4995, + "step": 17554 + }, + { + "epoch": 0.61, + "learning_rate": 6.492991813108864e-05, + "loss": 0.4657, + "step": 17555 + }, + { + "epoch": 0.61, + "learning_rate": 6.4919615561388e-05, + "loss": 0.4671, + "step": 17556 + }, + { + "epoch": 0.61, + "learning_rate": 6.490931341627695e-05, + "loss": 0.4367, + "step": 17557 + }, + { + "epoch": 0.61, + "learning_rate": 6.489901169588018e-05, + "loss": 0.5074, + "step": 17558 + }, + { + "epoch": 0.61, + "learning_rate": 6.488871040032236e-05, + "loss": 0.5014, + "step": 17559 + }, + { + "epoch": 0.61, + "learning_rate": 6.487840952972819e-05, + "loss": 0.5277, + "step": 17560 + }, + { + "epoch": 0.61, + "learning_rate": 6.486810908422236e-05, + "loss": 0.5337, + "step": 17561 + }, + { + "epoch": 0.61, + "learning_rate": 6.48578090639295e-05, + "loss": 0.4843, + "step": 17562 + }, + { + "epoch": 0.61, + "learning_rate": 6.484750946897432e-05, + "loss": 0.4957, + "step": 17563 + }, + { + "epoch": 0.61, + "learning_rate": 6.483721029948143e-05, + "loss": 0.518, + "step": 17564 + }, + { + "epoch": 0.61, + "learning_rate": 6.48269115555755e-05, + "loss": 0.5193, + "step": 17565 + }, + { + "epoch": 0.61, + "learning_rate": 6.481661323738121e-05, + "loss": 0.493, + "step": 17566 + }, + { + "epoch": 0.61, + "learning_rate": 6.48063153450232e-05, + "loss": 0.5782, + "step": 17567 + }, + { + "epoch": 0.61, + "learning_rate": 6.479601787862605e-05, + "loss": 0.4881, + "step": 17568 + }, + { + "epoch": 0.61, + "learning_rate": 6.478572083831445e-05, + "loss": 0.5243, + "step": 17569 + }, + { + "epoch": 0.61, + "learning_rate": 6.477542422421301e-05, + "loss": 0.471, + "step": 17570 + }, + { + "epoch": 0.61, + "learning_rate": 6.476512803644636e-05, + "loss": 0.6119, + "step": 17571 + }, + { + "epoch": 0.61, + "learning_rate": 6.475483227513912e-05, + "loss": 0.4683, + "step": 17572 + }, + { + "epoch": 0.61, + "learning_rate": 6.474453694041589e-05, + "loss": 0.5107, + "step": 17573 + }, + { + "epoch": 0.61, + "learning_rate": 6.473424203240129e-05, + "loss": 0.5213, + "step": 17574 + }, + { + "epoch": 0.62, + "learning_rate": 6.472394755121994e-05, + "loss": 0.4601, + "step": 17575 + }, + { + "epoch": 0.62, + "learning_rate": 6.471365349699636e-05, + "loss": 0.4443, + "step": 17576 + }, + { + "epoch": 0.62, + "learning_rate": 6.470335986985525e-05, + "loss": 0.4645, + "step": 17577 + }, + { + "epoch": 0.62, + "learning_rate": 6.46930666699211e-05, + "loss": 0.4511, + "step": 17578 + }, + { + "epoch": 0.62, + "learning_rate": 6.468277389731859e-05, + "loss": 0.5552, + "step": 17579 + }, + { + "epoch": 0.62, + "learning_rate": 6.467248155217221e-05, + "loss": 0.4585, + "step": 17580 + }, + { + "epoch": 0.62, + "learning_rate": 6.466218963460655e-05, + "loss": 0.5323, + "step": 17581 + }, + { + "epoch": 0.62, + "learning_rate": 6.465189814474624e-05, + "loss": 0.451, + "step": 17582 + }, + { + "epoch": 0.62, + "learning_rate": 6.464160708271574e-05, + "loss": 0.4728, + "step": 17583 + }, + { + "epoch": 0.62, + "learning_rate": 6.46313164486397e-05, + "loss": 0.5992, + "step": 17584 + }, + { + "epoch": 0.62, + "learning_rate": 6.462102624264262e-05, + "loss": 0.5416, + "step": 17585 + }, + { + "epoch": 0.62, + "learning_rate": 6.461073646484906e-05, + "loss": 0.4486, + "step": 17586 + }, + { + "epoch": 0.62, + "learning_rate": 6.460044711538355e-05, + "loss": 0.4683, + "step": 17587 + }, + { + "epoch": 0.62, + "learning_rate": 6.459015819437062e-05, + "loss": 0.5259, + "step": 17588 + }, + { + "epoch": 0.62, + "learning_rate": 6.457986970193484e-05, + "loss": 0.4428, + "step": 17589 + }, + { + "epoch": 0.62, + "learning_rate": 6.45695816382007e-05, + "loss": 0.4752, + "step": 17590 + }, + { + "epoch": 0.62, + "learning_rate": 6.45592940032927e-05, + "loss": 0.4381, + "step": 17591 + }, + { + "epoch": 0.62, + "learning_rate": 6.454900679733542e-05, + "loss": 0.5372, + "step": 17592 + }, + { + "epoch": 0.62, + "learning_rate": 6.453872002045332e-05, + "loss": 0.5054, + "step": 17593 + }, + { + "epoch": 0.62, + "learning_rate": 6.45284336727709e-05, + "loss": 0.4477, + "step": 17594 + }, + { + "epoch": 0.62, + "learning_rate": 6.451814775441269e-05, + "loss": 0.4796, + "step": 17595 + }, + { + "epoch": 0.62, + "learning_rate": 6.450786226550316e-05, + "loss": 0.5534, + "step": 17596 + }, + { + "epoch": 0.62, + "learning_rate": 6.449757720616683e-05, + "loss": 0.5928, + "step": 17597 + }, + { + "epoch": 0.62, + "learning_rate": 6.448729257652814e-05, + "loss": 0.5241, + "step": 17598 + }, + { + "epoch": 0.62, + "learning_rate": 6.447700837671164e-05, + "loss": 0.4637, + "step": 17599 + }, + { + "epoch": 0.62, + "learning_rate": 6.44667246068417e-05, + "loss": 0.443, + "step": 17600 + }, + { + "epoch": 0.62, + "eval_loss": 0.4828401505947113, + "eval_runtime": 853.2893, + "eval_samples_per_second": 28.197, + "eval_steps_per_second": 14.098, + "step": 17600 + }, + { + "epoch": 0.62, + "learning_rate": 6.445644126704284e-05, + "loss": 0.4874, + "step": 17601 + }, + { + "epoch": 0.62, + "learning_rate": 6.444615835743955e-05, + "loss": 0.4997, + "step": 17602 + }, + { + "epoch": 0.62, + "learning_rate": 6.443587587815622e-05, + "loss": 0.4945, + "step": 17603 + }, + { + "epoch": 0.62, + "learning_rate": 6.442559382931739e-05, + "loss": 0.4683, + "step": 17604 + }, + { + "epoch": 0.62, + "learning_rate": 6.441531221104742e-05, + "loss": 0.5008, + "step": 17605 + }, + { + "epoch": 0.62, + "learning_rate": 6.440503102347082e-05, + "loss": 0.4814, + "step": 17606 + }, + { + "epoch": 0.62, + "learning_rate": 6.439475026671199e-05, + "loss": 0.3825, + "step": 17607 + }, + { + "epoch": 0.62, + "learning_rate": 6.438446994089535e-05, + "loss": 0.5625, + "step": 17608 + }, + { + "epoch": 0.62, + "learning_rate": 6.437419004614538e-05, + "loss": 0.4624, + "step": 17609 + }, + { + "epoch": 0.62, + "learning_rate": 6.436391058258646e-05, + "loss": 0.3871, + "step": 17610 + }, + { + "epoch": 0.62, + "learning_rate": 6.435363155034299e-05, + "loss": 0.5345, + "step": 17611 + }, + { + "epoch": 0.62, + "learning_rate": 6.434335294953942e-05, + "loss": 0.492, + "step": 17612 + }, + { + "epoch": 0.62, + "learning_rate": 6.433307478030013e-05, + "loss": 0.521, + "step": 17613 + }, + { + "epoch": 0.62, + "learning_rate": 6.432279704274953e-05, + "loss": 0.47, + "step": 17614 + }, + { + "epoch": 0.62, + "learning_rate": 6.431251973701204e-05, + "loss": 0.5493, + "step": 17615 + }, + { + "epoch": 0.62, + "learning_rate": 6.430224286321199e-05, + "loss": 0.451, + "step": 17616 + }, + { + "epoch": 0.62, + "learning_rate": 6.429196642147381e-05, + "loss": 0.5113, + "step": 17617 + }, + { + "epoch": 0.62, + "learning_rate": 6.428169041192186e-05, + "loss": 0.4632, + "step": 17618 + }, + { + "epoch": 0.62, + "learning_rate": 6.427141483468054e-05, + "loss": 0.5049, + "step": 17619 + }, + { + "epoch": 0.62, + "learning_rate": 6.42611396898742e-05, + "loss": 0.6125, + "step": 17620 + }, + { + "epoch": 0.62, + "learning_rate": 6.425086497762718e-05, + "loss": 0.506, + "step": 17621 + }, + { + "epoch": 0.62, + "learning_rate": 6.424059069806389e-05, + "loss": 0.3974, + "step": 17622 + }, + { + "epoch": 0.62, + "learning_rate": 6.423031685130863e-05, + "loss": 0.5194, + "step": 17623 + }, + { + "epoch": 0.62, + "learning_rate": 6.422004343748578e-05, + "loss": 0.4746, + "step": 17624 + }, + { + "epoch": 0.62, + "learning_rate": 6.420977045671969e-05, + "loss": 0.4435, + "step": 17625 + }, + { + "epoch": 0.62, + "learning_rate": 6.419949790913466e-05, + "loss": 0.4535, + "step": 17626 + }, + { + "epoch": 0.62, + "learning_rate": 6.418922579485505e-05, + "loss": 0.4928, + "step": 17627 + }, + { + "epoch": 0.62, + "learning_rate": 6.41789541140052e-05, + "loss": 0.4815, + "step": 17628 + }, + { + "epoch": 0.62, + "learning_rate": 6.416868286670939e-05, + "loss": 0.4581, + "step": 17629 + }, + { + "epoch": 0.62, + "learning_rate": 6.415841205309197e-05, + "loss": 0.4875, + "step": 17630 + }, + { + "epoch": 0.62, + "learning_rate": 6.414814167327723e-05, + "loss": 0.4946, + "step": 17631 + }, + { + "epoch": 0.62, + "learning_rate": 6.413787172738949e-05, + "loss": 0.3939, + "step": 17632 + }, + { + "epoch": 0.62, + "learning_rate": 6.412760221555308e-05, + "loss": 0.4964, + "step": 17633 + }, + { + "epoch": 0.62, + "learning_rate": 6.411733313789221e-05, + "loss": 0.5602, + "step": 17634 + }, + { + "epoch": 0.62, + "learning_rate": 6.410706449453126e-05, + "loss": 0.4932, + "step": 17635 + }, + { + "epoch": 0.62, + "learning_rate": 6.409679628559445e-05, + "loss": 0.6332, + "step": 17636 + }, + { + "epoch": 0.62, + "learning_rate": 6.40865285112061e-05, + "loss": 0.4687, + "step": 17637 + }, + { + "epoch": 0.62, + "learning_rate": 6.407626117149048e-05, + "loss": 0.4842, + "step": 17638 + }, + { + "epoch": 0.62, + "learning_rate": 6.406599426657183e-05, + "loss": 0.3958, + "step": 17639 + }, + { + "epoch": 0.62, + "learning_rate": 6.405572779657444e-05, + "loss": 0.5367, + "step": 17640 + }, + { + "epoch": 0.62, + "learning_rate": 6.404546176162256e-05, + "loss": 0.4724, + "step": 17641 + }, + { + "epoch": 0.62, + "learning_rate": 6.403519616184045e-05, + "loss": 0.5196, + "step": 17642 + }, + { + "epoch": 0.62, + "learning_rate": 6.402493099735237e-05, + "loss": 0.4691, + "step": 17643 + }, + { + "epoch": 0.62, + "learning_rate": 6.40146662682825e-05, + "loss": 0.528, + "step": 17644 + }, + { + "epoch": 0.62, + "learning_rate": 6.400440197475516e-05, + "loss": 0.5275, + "step": 17645 + }, + { + "epoch": 0.62, + "learning_rate": 6.399413811689455e-05, + "loss": 0.5925, + "step": 17646 + }, + { + "epoch": 0.62, + "learning_rate": 6.398387469482487e-05, + "loss": 0.4656, + "step": 17647 + }, + { + "epoch": 0.62, + "learning_rate": 6.397361170867039e-05, + "loss": 0.4237, + "step": 17648 + }, + { + "epoch": 0.62, + "learning_rate": 6.396334915855527e-05, + "loss": 0.6477, + "step": 17649 + }, + { + "epoch": 0.62, + "learning_rate": 6.395308704460377e-05, + "loss": 0.5345, + "step": 17650 + }, + { + "epoch": 0.62, + "learning_rate": 6.394282536694008e-05, + "loss": 0.5059, + "step": 17651 + }, + { + "epoch": 0.62, + "learning_rate": 6.39325641256884e-05, + "loss": 0.532, + "step": 17652 + }, + { + "epoch": 0.62, + "learning_rate": 6.392230332097291e-05, + "loss": 0.5409, + "step": 17653 + }, + { + "epoch": 0.62, + "learning_rate": 6.39120429529178e-05, + "loss": 0.49, + "step": 17654 + }, + { + "epoch": 0.62, + "learning_rate": 6.39017830216473e-05, + "loss": 0.5928, + "step": 17655 + }, + { + "epoch": 0.62, + "learning_rate": 6.389152352728556e-05, + "loss": 0.4665, + "step": 17656 + }, + { + "epoch": 0.62, + "learning_rate": 6.388126446995671e-05, + "loss": 0.4819, + "step": 17657 + }, + { + "epoch": 0.62, + "learning_rate": 6.3871005849785e-05, + "loss": 0.4945, + "step": 17658 + }, + { + "epoch": 0.62, + "learning_rate": 6.386074766689454e-05, + "loss": 0.4998, + "step": 17659 + }, + { + "epoch": 0.62, + "learning_rate": 6.385048992140948e-05, + "loss": 0.5303, + "step": 17660 + }, + { + "epoch": 0.62, + "learning_rate": 6.384023261345402e-05, + "loss": 0.512, + "step": 17661 + }, + { + "epoch": 0.62, + "learning_rate": 6.382997574315227e-05, + "loss": 0.6046, + "step": 17662 + }, + { + "epoch": 0.62, + "learning_rate": 6.38197193106284e-05, + "loss": 0.4859, + "step": 17663 + }, + { + "epoch": 0.62, + "learning_rate": 6.380946331600652e-05, + "loss": 0.4682, + "step": 17664 + }, + { + "epoch": 0.62, + "learning_rate": 6.379920775941077e-05, + "loss": 0.5771, + "step": 17665 + }, + { + "epoch": 0.62, + "learning_rate": 6.378895264096529e-05, + "loss": 0.4786, + "step": 17666 + }, + { + "epoch": 0.62, + "learning_rate": 6.377869796079418e-05, + "loss": 0.5019, + "step": 17667 + }, + { + "epoch": 0.62, + "learning_rate": 6.376844371902157e-05, + "loss": 0.5721, + "step": 17668 + }, + { + "epoch": 0.62, + "learning_rate": 6.375818991577158e-05, + "loss": 0.5221, + "step": 17669 + }, + { + "epoch": 0.62, + "learning_rate": 6.374793655116828e-05, + "loss": 0.6556, + "step": 17670 + }, + { + "epoch": 0.62, + "learning_rate": 6.373768362533581e-05, + "loss": 0.5201, + "step": 17671 + }, + { + "epoch": 0.62, + "learning_rate": 6.372743113839822e-05, + "loss": 0.4287, + "step": 17672 + }, + { + "epoch": 0.62, + "learning_rate": 6.371717909047967e-05, + "loss": 0.4941, + "step": 17673 + }, + { + "epoch": 0.62, + "learning_rate": 6.370692748170418e-05, + "loss": 0.4585, + "step": 17674 + }, + { + "epoch": 0.62, + "learning_rate": 6.369667631219583e-05, + "loss": 0.5308, + "step": 17675 + }, + { + "epoch": 0.62, + "learning_rate": 6.368642558207873e-05, + "loss": 0.5054, + "step": 17676 + }, + { + "epoch": 0.62, + "learning_rate": 6.367617529147694e-05, + "loss": 0.5385, + "step": 17677 + }, + { + "epoch": 0.62, + "learning_rate": 6.366592544051448e-05, + "loss": 0.5285, + "step": 17678 + }, + { + "epoch": 0.62, + "learning_rate": 6.365567602931548e-05, + "loss": 0.4728, + "step": 17679 + }, + { + "epoch": 0.62, + "learning_rate": 6.364542705800391e-05, + "loss": 0.6091, + "step": 17680 + }, + { + "epoch": 0.62, + "learning_rate": 6.363517852670389e-05, + "loss": 0.4302, + "step": 17681 + }, + { + "epoch": 0.62, + "learning_rate": 6.362493043553943e-05, + "loss": 0.4915, + "step": 17682 + }, + { + "epoch": 0.62, + "learning_rate": 6.361468278463454e-05, + "loss": 0.5218, + "step": 17683 + }, + { + "epoch": 0.62, + "learning_rate": 6.360443557411331e-05, + "loss": 0.4402, + "step": 17684 + }, + { + "epoch": 0.62, + "learning_rate": 6.35941888040997e-05, + "loss": 0.4976, + "step": 17685 + }, + { + "epoch": 0.62, + "learning_rate": 6.358394247471778e-05, + "loss": 0.4564, + "step": 17686 + }, + { + "epoch": 0.62, + "learning_rate": 6.357369658609155e-05, + "loss": 0.4649, + "step": 17687 + }, + { + "epoch": 0.62, + "learning_rate": 6.356345113834501e-05, + "loss": 0.4824, + "step": 17688 + }, + { + "epoch": 0.62, + "learning_rate": 6.355320613160218e-05, + "loss": 0.4233, + "step": 17689 + }, + { + "epoch": 0.62, + "learning_rate": 6.354296156598703e-05, + "loss": 0.4714, + "step": 17690 + }, + { + "epoch": 0.62, + "learning_rate": 6.35327174416236e-05, + "loss": 0.473, + "step": 17691 + }, + { + "epoch": 0.62, + "learning_rate": 6.352247375863583e-05, + "loss": 0.4978, + "step": 17692 + }, + { + "epoch": 0.62, + "learning_rate": 6.351223051714771e-05, + "loss": 0.4794, + "step": 17693 + }, + { + "epoch": 0.62, + "learning_rate": 6.350198771728326e-05, + "loss": 0.4873, + "step": 17694 + }, + { + "epoch": 0.62, + "learning_rate": 6.349174535916643e-05, + "loss": 0.4256, + "step": 17695 + }, + { + "epoch": 0.62, + "learning_rate": 6.348150344292114e-05, + "loss": 0.5094, + "step": 17696 + }, + { + "epoch": 0.62, + "learning_rate": 6.347126196867144e-05, + "loss": 0.5045, + "step": 17697 + }, + { + "epoch": 0.62, + "learning_rate": 6.346102093654118e-05, + "loss": 0.4701, + "step": 17698 + }, + { + "epoch": 0.62, + "learning_rate": 6.345078034665441e-05, + "loss": 0.4429, + "step": 17699 + }, + { + "epoch": 0.62, + "learning_rate": 6.344054019913503e-05, + "loss": 0.5237, + "step": 17700 + }, + { + "epoch": 0.62, + "learning_rate": 6.343030049410697e-05, + "loss": 0.4545, + "step": 17701 + }, + { + "epoch": 0.62, + "learning_rate": 6.342006123169418e-05, + "loss": 0.4608, + "step": 17702 + }, + { + "epoch": 0.62, + "learning_rate": 6.340982241202058e-05, + "loss": 0.4837, + "step": 17703 + }, + { + "epoch": 0.62, + "learning_rate": 6.339958403521011e-05, + "loss": 0.5335, + "step": 17704 + }, + { + "epoch": 0.62, + "learning_rate": 6.33893461013867e-05, + "loss": 0.5284, + "step": 17705 + }, + { + "epoch": 0.62, + "learning_rate": 6.33791086106742e-05, + "loss": 0.4876, + "step": 17706 + }, + { + "epoch": 0.62, + "learning_rate": 6.336887156319658e-05, + "loss": 0.4558, + "step": 17707 + }, + { + "epoch": 0.62, + "learning_rate": 6.335863495907772e-05, + "loss": 0.5283, + "step": 17708 + }, + { + "epoch": 0.62, + "learning_rate": 6.334839879844151e-05, + "loss": 0.3894, + "step": 17709 + }, + { + "epoch": 0.62, + "learning_rate": 6.333816308141187e-05, + "loss": 0.5366, + "step": 17710 + }, + { + "epoch": 0.62, + "learning_rate": 6.332792780811266e-05, + "loss": 0.4394, + "step": 17711 + }, + { + "epoch": 0.62, + "learning_rate": 6.331769297866777e-05, + "loss": 0.5368, + "step": 17712 + }, + { + "epoch": 0.62, + "learning_rate": 6.330745859320106e-05, + "loss": 0.5447, + "step": 17713 + }, + { + "epoch": 0.62, + "learning_rate": 6.32972246518364e-05, + "loss": 0.508, + "step": 17714 + }, + { + "epoch": 0.62, + "learning_rate": 6.328699115469772e-05, + "loss": 0.5596, + "step": 17715 + }, + { + "epoch": 0.62, + "learning_rate": 6.327675810190879e-05, + "loss": 0.611, + "step": 17716 + }, + { + "epoch": 0.62, + "learning_rate": 6.32665254935935e-05, + "loss": 0.5201, + "step": 17717 + }, + { + "epoch": 0.62, + "learning_rate": 6.325629332987572e-05, + "loss": 0.4737, + "step": 17718 + }, + { + "epoch": 0.62, + "learning_rate": 6.324606161087926e-05, + "loss": 0.4876, + "step": 17719 + }, + { + "epoch": 0.62, + "learning_rate": 6.323583033672799e-05, + "loss": 0.4872, + "step": 17720 + }, + { + "epoch": 0.62, + "learning_rate": 6.322559950754569e-05, + "loss": 0.483, + "step": 17721 + }, + { + "epoch": 0.62, + "learning_rate": 6.321536912345626e-05, + "loss": 0.493, + "step": 17722 + }, + { + "epoch": 0.62, + "learning_rate": 6.320513918458347e-05, + "loss": 0.4891, + "step": 17723 + }, + { + "epoch": 0.62, + "learning_rate": 6.319490969105114e-05, + "loss": 0.4699, + "step": 17724 + }, + { + "epoch": 0.62, + "learning_rate": 6.318468064298311e-05, + "loss": 0.5175, + "step": 17725 + }, + { + "epoch": 0.62, + "learning_rate": 6.317445204050316e-05, + "loss": 0.6159, + "step": 17726 + }, + { + "epoch": 0.62, + "learning_rate": 6.316422388373507e-05, + "loss": 0.5597, + "step": 17727 + }, + { + "epoch": 0.62, + "learning_rate": 6.315399617280269e-05, + "loss": 0.5047, + "step": 17728 + }, + { + "epoch": 0.62, + "learning_rate": 6.314376890782976e-05, + "loss": 0.5647, + "step": 17729 + }, + { + "epoch": 0.62, + "learning_rate": 6.313354208894011e-05, + "loss": 0.5888, + "step": 17730 + }, + { + "epoch": 0.62, + "learning_rate": 6.31233157162575e-05, + "loss": 0.4314, + "step": 17731 + }, + { + "epoch": 0.62, + "learning_rate": 6.311308978990564e-05, + "loss": 0.4556, + "step": 17732 + }, + { + "epoch": 0.62, + "learning_rate": 6.310286431000843e-05, + "loss": 0.4787, + "step": 17733 + }, + { + "epoch": 0.62, + "learning_rate": 6.309263927668953e-05, + "loss": 0.535, + "step": 17734 + }, + { + "epoch": 0.62, + "learning_rate": 6.308241469007272e-05, + "loss": 0.5515, + "step": 17735 + }, + { + "epoch": 0.62, + "learning_rate": 6.307219055028173e-05, + "loss": 0.4252, + "step": 17736 + }, + { + "epoch": 0.62, + "learning_rate": 6.306196685744034e-05, + "loss": 0.4386, + "step": 17737 + }, + { + "epoch": 0.62, + "learning_rate": 6.305174361167228e-05, + "loss": 0.4853, + "step": 17738 + }, + { + "epoch": 0.62, + "learning_rate": 6.304152081310131e-05, + "loss": 0.4677, + "step": 17739 + }, + { + "epoch": 0.62, + "learning_rate": 6.303129846185114e-05, + "loss": 0.4731, + "step": 17740 + }, + { + "epoch": 0.62, + "learning_rate": 6.302107655804546e-05, + "loss": 0.491, + "step": 17741 + }, + { + "epoch": 0.62, + "learning_rate": 6.301085510180804e-05, + "loss": 0.5053, + "step": 17742 + }, + { + "epoch": 0.62, + "learning_rate": 6.300063409326258e-05, + "loss": 0.4999, + "step": 17743 + }, + { + "epoch": 0.62, + "learning_rate": 6.299041353253277e-05, + "loss": 0.6012, + "step": 17744 + }, + { + "epoch": 0.62, + "learning_rate": 6.298019341974232e-05, + "loss": 0.5109, + "step": 17745 + }, + { + "epoch": 0.62, + "learning_rate": 6.296997375501495e-05, + "loss": 0.4546, + "step": 17746 + }, + { + "epoch": 0.62, + "learning_rate": 6.295975453847434e-05, + "loss": 0.4817, + "step": 17747 + }, + { + "epoch": 0.62, + "learning_rate": 6.294953577024417e-05, + "loss": 0.4746, + "step": 17748 + }, + { + "epoch": 0.62, + "learning_rate": 6.29393174504481e-05, + "loss": 0.5478, + "step": 17749 + }, + { + "epoch": 0.62, + "learning_rate": 6.292909957920985e-05, + "loss": 0.5307, + "step": 17750 + }, + { + "epoch": 0.62, + "learning_rate": 6.291888215665305e-05, + "loss": 0.5483, + "step": 17751 + }, + { + "epoch": 0.62, + "learning_rate": 6.29086651829014e-05, + "loss": 0.4934, + "step": 17752 + }, + { + "epoch": 0.62, + "learning_rate": 6.289844865807855e-05, + "loss": 0.5105, + "step": 17753 + }, + { + "epoch": 0.62, + "learning_rate": 6.288823258230812e-05, + "loss": 0.4362, + "step": 17754 + }, + { + "epoch": 0.62, + "learning_rate": 6.28780169557138e-05, + "loss": 0.5465, + "step": 17755 + }, + { + "epoch": 0.62, + "learning_rate": 6.286780177841922e-05, + "loss": 0.5626, + "step": 17756 + }, + { + "epoch": 0.62, + "learning_rate": 6.285758705054802e-05, + "loss": 0.5274, + "step": 17757 + }, + { + "epoch": 0.62, + "learning_rate": 6.284737277222383e-05, + "loss": 0.4889, + "step": 17758 + }, + { + "epoch": 0.62, + "learning_rate": 6.283715894357027e-05, + "loss": 0.4261, + "step": 17759 + }, + { + "epoch": 0.62, + "learning_rate": 6.282694556471099e-05, + "loss": 0.5274, + "step": 17760 + }, + { + "epoch": 0.62, + "learning_rate": 6.281673263576957e-05, + "loss": 0.4809, + "step": 17761 + }, + { + "epoch": 0.62, + "learning_rate": 6.280652015686961e-05, + "loss": 0.4258, + "step": 17762 + }, + { + "epoch": 0.62, + "learning_rate": 6.279630812813476e-05, + "loss": 0.5042, + "step": 17763 + }, + { + "epoch": 0.62, + "learning_rate": 6.278609654968859e-05, + "loss": 0.4709, + "step": 17764 + }, + { + "epoch": 0.62, + "learning_rate": 6.277588542165472e-05, + "loss": 0.4626, + "step": 17765 + }, + { + "epoch": 0.62, + "learning_rate": 6.27656747441567e-05, + "loss": 0.4431, + "step": 17766 + }, + { + "epoch": 0.62, + "learning_rate": 6.275546451731813e-05, + "loss": 0.4514, + "step": 17767 + }, + { + "epoch": 0.62, + "learning_rate": 6.274525474126263e-05, + "loss": 0.5397, + "step": 17768 + }, + { + "epoch": 0.62, + "learning_rate": 6.273504541611367e-05, + "loss": 0.5446, + "step": 17769 + }, + { + "epoch": 0.62, + "learning_rate": 6.272483654199494e-05, + "loss": 0.5552, + "step": 17770 + }, + { + "epoch": 0.62, + "learning_rate": 6.271462811902994e-05, + "loss": 0.5411, + "step": 17771 + }, + { + "epoch": 0.62, + "learning_rate": 6.270442014734218e-05, + "loss": 0.5604, + "step": 17772 + }, + { + "epoch": 0.62, + "learning_rate": 6.269421262705532e-05, + "loss": 0.4481, + "step": 17773 + }, + { + "epoch": 0.62, + "learning_rate": 6.26840055582928e-05, + "loss": 0.4396, + "step": 17774 + }, + { + "epoch": 0.62, + "learning_rate": 6.267379894117822e-05, + "loss": 0.4741, + "step": 17775 + }, + { + "epoch": 0.62, + "learning_rate": 6.266359277583511e-05, + "loss": 0.6265, + "step": 17776 + }, + { + "epoch": 0.62, + "learning_rate": 6.265338706238695e-05, + "loss": 0.4943, + "step": 17777 + }, + { + "epoch": 0.62, + "learning_rate": 6.264318180095733e-05, + "loss": 0.5723, + "step": 17778 + }, + { + "epoch": 0.62, + "learning_rate": 6.263297699166974e-05, + "loss": 0.4427, + "step": 17779 + }, + { + "epoch": 0.62, + "learning_rate": 6.262277263464768e-05, + "loss": 0.4876, + "step": 17780 + }, + { + "epoch": 0.62, + "learning_rate": 6.261256873001466e-05, + "loss": 0.5491, + "step": 17781 + }, + { + "epoch": 0.62, + "learning_rate": 6.260236527789419e-05, + "loss": 0.5257, + "step": 17782 + }, + { + "epoch": 0.62, + "learning_rate": 6.259216227840979e-05, + "loss": 0.5458, + "step": 17783 + }, + { + "epoch": 0.62, + "learning_rate": 6.25819597316849e-05, + "loss": 0.4676, + "step": 17784 + }, + { + "epoch": 0.62, + "learning_rate": 6.257175763784301e-05, + "loss": 0.4266, + "step": 17785 + }, + { + "epoch": 0.62, + "learning_rate": 6.256155599700764e-05, + "loss": 0.5165, + "step": 17786 + }, + { + "epoch": 0.62, + "learning_rate": 6.255135480930224e-05, + "loss": 0.5315, + "step": 17787 + }, + { + "epoch": 0.62, + "learning_rate": 6.254115407485029e-05, + "loss": 0.4305, + "step": 17788 + }, + { + "epoch": 0.62, + "learning_rate": 6.253095379377523e-05, + "loss": 0.5094, + "step": 17789 + }, + { + "epoch": 0.62, + "learning_rate": 6.252075396620051e-05, + "loss": 0.4876, + "step": 17790 + }, + { + "epoch": 0.62, + "learning_rate": 6.251055459224964e-05, + "loss": 0.5164, + "step": 17791 + }, + { + "epoch": 0.62, + "learning_rate": 6.250035567204602e-05, + "loss": 0.4409, + "step": 17792 + }, + { + "epoch": 0.62, + "learning_rate": 6.249015720571307e-05, + "loss": 0.5537, + "step": 17793 + }, + { + "epoch": 0.62, + "learning_rate": 6.247995919337429e-05, + "loss": 0.5384, + "step": 17794 + }, + { + "epoch": 0.62, + "learning_rate": 6.246976163515306e-05, + "loss": 0.4288, + "step": 17795 + }, + { + "epoch": 0.62, + "learning_rate": 6.245956453117282e-05, + "loss": 0.5031, + "step": 17796 + }, + { + "epoch": 0.62, + "learning_rate": 6.2449367881557e-05, + "loss": 0.4712, + "step": 17797 + }, + { + "epoch": 0.62, + "learning_rate": 6.243917168642898e-05, + "loss": 0.4855, + "step": 17798 + }, + { + "epoch": 0.62, + "learning_rate": 6.24289759459122e-05, + "loss": 0.4511, + "step": 17799 + }, + { + "epoch": 0.62, + "learning_rate": 6.241878066013004e-05, + "loss": 0.4323, + "step": 17800 + }, + { + "epoch": 0.62, + "eval_loss": 0.4787278473377228, + "eval_runtime": 845.1719, + "eval_samples_per_second": 28.468, + "eval_steps_per_second": 14.234, + "step": 17800 + }, + { + "epoch": 0.62, + "learning_rate": 6.240858582920594e-05, + "loss": 0.4144, + "step": 17801 + }, + { + "epoch": 0.62, + "learning_rate": 6.239839145326324e-05, + "loss": 0.4642, + "step": 17802 + }, + { + "epoch": 0.62, + "learning_rate": 6.238819753242534e-05, + "loss": 0.5507, + "step": 17803 + }, + { + "epoch": 0.62, + "learning_rate": 6.237800406681564e-05, + "loss": 0.537, + "step": 17804 + }, + { + "epoch": 0.62, + "learning_rate": 6.23678110565575e-05, + "loss": 0.5173, + "step": 17805 + }, + { + "epoch": 0.62, + "learning_rate": 6.235761850177428e-05, + "loss": 0.5125, + "step": 17806 + }, + { + "epoch": 0.62, + "learning_rate": 6.234742640258938e-05, + "loss": 0.5106, + "step": 17807 + }, + { + "epoch": 0.62, + "learning_rate": 6.23372347591261e-05, + "loss": 0.5658, + "step": 17808 + }, + { + "epoch": 0.62, + "learning_rate": 6.232704357150785e-05, + "loss": 0.4615, + "step": 17809 + }, + { + "epoch": 0.62, + "learning_rate": 6.231685283985797e-05, + "loss": 0.535, + "step": 17810 + }, + { + "epoch": 0.62, + "learning_rate": 6.230666256429974e-05, + "loss": 0.5474, + "step": 17811 + }, + { + "epoch": 0.62, + "learning_rate": 6.229647274495659e-05, + "loss": 0.5716, + "step": 17812 + }, + { + "epoch": 0.62, + "learning_rate": 6.228628338195175e-05, + "loss": 0.5329, + "step": 17813 + }, + { + "epoch": 0.62, + "learning_rate": 6.227609447540863e-05, + "loss": 0.5412, + "step": 17814 + }, + { + "epoch": 0.62, + "learning_rate": 6.226590602545052e-05, + "loss": 0.6653, + "step": 17815 + }, + { + "epoch": 0.62, + "learning_rate": 6.225571803220072e-05, + "loss": 0.4384, + "step": 17816 + }, + { + "epoch": 0.62, + "learning_rate": 6.224553049578257e-05, + "loss": 0.4632, + "step": 17817 + }, + { + "epoch": 0.62, + "learning_rate": 6.223534341631932e-05, + "loss": 0.5109, + "step": 17818 + }, + { + "epoch": 0.62, + "learning_rate": 6.222515679393433e-05, + "loss": 0.4675, + "step": 17819 + }, + { + "epoch": 0.62, + "learning_rate": 6.221497062875086e-05, + "loss": 0.4739, + "step": 17820 + }, + { + "epoch": 0.62, + "learning_rate": 6.220478492089219e-05, + "loss": 0.4749, + "step": 17821 + }, + { + "epoch": 0.62, + "learning_rate": 6.219459967048163e-05, + "loss": 0.5418, + "step": 17822 + }, + { + "epoch": 0.62, + "learning_rate": 6.21844148776424e-05, + "loss": 0.5983, + "step": 17823 + }, + { + "epoch": 0.62, + "learning_rate": 6.217423054249783e-05, + "loss": 0.5119, + "step": 17824 + }, + { + "epoch": 0.62, + "learning_rate": 6.216404666517117e-05, + "loss": 0.4217, + "step": 17825 + }, + { + "epoch": 0.62, + "learning_rate": 6.215386324578564e-05, + "loss": 0.4796, + "step": 17826 + }, + { + "epoch": 0.62, + "learning_rate": 6.214368028446456e-05, + "loss": 0.4066, + "step": 17827 + }, + { + "epoch": 0.62, + "learning_rate": 6.213349778133112e-05, + "loss": 0.4496, + "step": 17828 + }, + { + "epoch": 0.62, + "learning_rate": 6.212331573650857e-05, + "loss": 0.4517, + "step": 17829 + }, + { + "epoch": 0.62, + "learning_rate": 6.211313415012019e-05, + "loss": 0.5194, + "step": 17830 + }, + { + "epoch": 0.62, + "learning_rate": 6.210295302228915e-05, + "loss": 0.5712, + "step": 17831 + }, + { + "epoch": 0.62, + "learning_rate": 6.209277235313874e-05, + "loss": 0.4574, + "step": 17832 + }, + { + "epoch": 0.62, + "learning_rate": 6.208259214279212e-05, + "loss": 0.4692, + "step": 17833 + }, + { + "epoch": 0.62, + "learning_rate": 6.207241239137253e-05, + "loss": 0.4341, + "step": 17834 + }, + { + "epoch": 0.62, + "learning_rate": 6.206223309900318e-05, + "loss": 0.5017, + "step": 17835 + }, + { + "epoch": 0.62, + "learning_rate": 6.205205426580728e-05, + "loss": 0.434, + "step": 17836 + }, + { + "epoch": 0.62, + "learning_rate": 6.204187589190803e-05, + "loss": 0.5328, + "step": 17837 + }, + { + "epoch": 0.62, + "learning_rate": 6.203169797742861e-05, + "loss": 0.4759, + "step": 17838 + }, + { + "epoch": 0.62, + "learning_rate": 6.20215205224922e-05, + "loss": 0.4295, + "step": 17839 + }, + { + "epoch": 0.62, + "learning_rate": 6.2011343527222e-05, + "loss": 0.4956, + "step": 17840 + }, + { + "epoch": 0.62, + "learning_rate": 6.200116699174117e-05, + "loss": 0.4438, + "step": 17841 + }, + { + "epoch": 0.62, + "learning_rate": 6.199099091617288e-05, + "loss": 0.5039, + "step": 17842 + }, + { + "epoch": 0.62, + "learning_rate": 6.198081530064033e-05, + "loss": 0.4815, + "step": 17843 + }, + { + "epoch": 0.62, + "learning_rate": 6.19706401452666e-05, + "loss": 0.5782, + "step": 17844 + }, + { + "epoch": 0.62, + "learning_rate": 6.196046545017495e-05, + "loss": 0.4745, + "step": 17845 + }, + { + "epoch": 0.62, + "learning_rate": 6.195029121548845e-05, + "loss": 0.4352, + "step": 17846 + }, + { + "epoch": 0.62, + "learning_rate": 6.194011744133025e-05, + "loss": 0.597, + "step": 17847 + }, + { + "epoch": 0.62, + "learning_rate": 6.192994412782351e-05, + "loss": 0.502, + "step": 17848 + }, + { + "epoch": 0.62, + "learning_rate": 6.191977127509135e-05, + "loss": 0.5887, + "step": 17849 + }, + { + "epoch": 0.62, + "learning_rate": 6.190959888325689e-05, + "loss": 0.5236, + "step": 17850 + }, + { + "epoch": 0.62, + "learning_rate": 6.189942695244326e-05, + "loss": 0.4793, + "step": 17851 + }, + { + "epoch": 0.62, + "learning_rate": 6.188925548277356e-05, + "loss": 0.5882, + "step": 17852 + }, + { + "epoch": 0.62, + "learning_rate": 6.187908447437093e-05, + "loss": 0.4923, + "step": 17853 + }, + { + "epoch": 0.62, + "learning_rate": 6.186891392735843e-05, + "loss": 0.498, + "step": 17854 + }, + { + "epoch": 0.62, + "learning_rate": 6.18587438418592e-05, + "loss": 0.5331, + "step": 17855 + }, + { + "epoch": 0.62, + "learning_rate": 6.184857421799631e-05, + "loss": 0.4754, + "step": 17856 + }, + { + "epoch": 0.62, + "learning_rate": 6.183840505589283e-05, + "loss": 0.616, + "step": 17857 + }, + { + "epoch": 0.62, + "learning_rate": 6.182823635567187e-05, + "loss": 0.5133, + "step": 17858 + }, + { + "epoch": 0.62, + "learning_rate": 6.18180681174565e-05, + "loss": 0.4779, + "step": 17859 + }, + { + "epoch": 0.62, + "learning_rate": 6.180790034136976e-05, + "loss": 0.5349, + "step": 17860 + }, + { + "epoch": 0.63, + "learning_rate": 6.179773302753478e-05, + "loss": 0.5182, + "step": 17861 + }, + { + "epoch": 0.63, + "learning_rate": 6.178756617607453e-05, + "loss": 0.494, + "step": 17862 + }, + { + "epoch": 0.63, + "learning_rate": 6.177739978711212e-05, + "loss": 0.5293, + "step": 17863 + }, + { + "epoch": 0.63, + "learning_rate": 6.176723386077061e-05, + "loss": 0.6357, + "step": 17864 + }, + { + "epoch": 0.63, + "learning_rate": 6.175706839717299e-05, + "loss": 0.4176, + "step": 17865 + }, + { + "epoch": 0.63, + "learning_rate": 6.174690339644233e-05, + "loss": 0.4526, + "step": 17866 + }, + { + "epoch": 0.63, + "learning_rate": 6.173673885870166e-05, + "loss": 0.4777, + "step": 17867 + }, + { + "epoch": 0.63, + "learning_rate": 6.172657478407404e-05, + "loss": 0.4498, + "step": 17868 + }, + { + "epoch": 0.63, + "learning_rate": 6.171641117268239e-05, + "loss": 0.4793, + "step": 17869 + }, + { + "epoch": 0.63, + "learning_rate": 6.17062480246498e-05, + "loss": 0.4498, + "step": 17870 + }, + { + "epoch": 0.63, + "learning_rate": 6.169608534009926e-05, + "loss": 0.4724, + "step": 17871 + }, + { + "epoch": 0.63, + "learning_rate": 6.168592311915375e-05, + "loss": 0.5403, + "step": 17872 + }, + { + "epoch": 0.63, + "learning_rate": 6.167576136193631e-05, + "loss": 0.5261, + "step": 17873 + }, + { + "epoch": 0.63, + "learning_rate": 6.16656000685699e-05, + "loss": 0.5064, + "step": 17874 + }, + { + "epoch": 0.63, + "learning_rate": 6.165543923917752e-05, + "loss": 0.4925, + "step": 17875 + }, + { + "epoch": 0.63, + "learning_rate": 6.164527887388214e-05, + "loss": 0.4925, + "step": 17876 + }, + { + "epoch": 0.63, + "learning_rate": 6.163511897280675e-05, + "loss": 0.4932, + "step": 17877 + }, + { + "epoch": 0.63, + "learning_rate": 6.16249595360743e-05, + "loss": 0.5647, + "step": 17878 + }, + { + "epoch": 0.63, + "learning_rate": 6.161480056380775e-05, + "loss": 0.516, + "step": 17879 + }, + { + "epoch": 0.63, + "learning_rate": 6.160464205613009e-05, + "loss": 0.4698, + "step": 17880 + }, + { + "epoch": 0.63, + "learning_rate": 6.159448401316426e-05, + "loss": 0.4635, + "step": 17881 + }, + { + "epoch": 0.63, + "learning_rate": 6.158432643503315e-05, + "loss": 0.5009, + "step": 17882 + }, + { + "epoch": 0.63, + "learning_rate": 6.157416932185977e-05, + "loss": 0.4717, + "step": 17883 + }, + { + "epoch": 0.63, + "learning_rate": 6.156401267376703e-05, + "loss": 0.5711, + "step": 17884 + }, + { + "epoch": 0.63, + "learning_rate": 6.155385649087788e-05, + "loss": 0.5726, + "step": 17885 + }, + { + "epoch": 0.63, + "learning_rate": 6.154370077331522e-05, + "loss": 0.4751, + "step": 17886 + }, + { + "epoch": 0.63, + "learning_rate": 6.153354552120194e-05, + "loss": 0.466, + "step": 17887 + }, + { + "epoch": 0.63, + "learning_rate": 6.152339073466103e-05, + "loss": 0.4796, + "step": 17888 + }, + { + "epoch": 0.63, + "learning_rate": 6.151323641381531e-05, + "loss": 0.5073, + "step": 17889 + }, + { + "epoch": 0.63, + "learning_rate": 6.150308255878775e-05, + "loss": 0.4998, + "step": 17890 + }, + { + "epoch": 0.63, + "learning_rate": 6.149292916970122e-05, + "loss": 0.4648, + "step": 17891 + }, + { + "epoch": 0.63, + "learning_rate": 6.14827762466786e-05, + "loss": 0.4015, + "step": 17892 + }, + { + "epoch": 0.63, + "learning_rate": 6.147262378984277e-05, + "loss": 0.476, + "step": 17893 + }, + { + "epoch": 0.63, + "learning_rate": 6.146247179931666e-05, + "loss": 0.4911, + "step": 17894 + }, + { + "epoch": 0.63, + "learning_rate": 6.145232027522306e-05, + "loss": 0.4994, + "step": 17895 + }, + { + "epoch": 0.63, + "learning_rate": 6.144216921768491e-05, + "loss": 0.5698, + "step": 17896 + }, + { + "epoch": 0.63, + "learning_rate": 6.143201862682502e-05, + "loss": 0.5123, + "step": 17897 + }, + { + "epoch": 0.63, + "learning_rate": 6.14218685027663e-05, + "loss": 0.4768, + "step": 17898 + }, + { + "epoch": 0.63, + "learning_rate": 6.141171884563155e-05, + "loss": 0.4965, + "step": 17899 + }, + { + "epoch": 0.63, + "learning_rate": 6.140156965554362e-05, + "loss": 0.4388, + "step": 17900 + }, + { + "epoch": 0.63, + "learning_rate": 6.13914209326254e-05, + "loss": 0.471, + "step": 17901 + }, + { + "epoch": 0.63, + "learning_rate": 6.138127267699965e-05, + "loss": 0.4969, + "step": 17902 + }, + { + "epoch": 0.63, + "learning_rate": 6.137112488878924e-05, + "loss": 0.4498, + "step": 17903 + }, + { + "epoch": 0.63, + "learning_rate": 6.1360977568117e-05, + "loss": 0.4614, + "step": 17904 + }, + { + "epoch": 0.63, + "learning_rate": 6.135083071510573e-05, + "loss": 0.4631, + "step": 17905 + }, + { + "epoch": 0.63, + "learning_rate": 6.134068432987825e-05, + "loss": 0.4927, + "step": 17906 + }, + { + "epoch": 0.63, + "learning_rate": 6.133053841255733e-05, + "loss": 0.4337, + "step": 17907 + }, + { + "epoch": 0.63, + "learning_rate": 6.132039296326583e-05, + "loss": 0.4, + "step": 17908 + }, + { + "epoch": 0.63, + "learning_rate": 6.13102479821265e-05, + "loss": 0.5255, + "step": 17909 + }, + { + "epoch": 0.63, + "learning_rate": 6.130010346926214e-05, + "loss": 0.3887, + "step": 17910 + }, + { + "epoch": 0.63, + "learning_rate": 6.128995942479553e-05, + "loss": 0.4628, + "step": 17911 + }, + { + "epoch": 0.63, + "learning_rate": 6.127981584884945e-05, + "loss": 0.5176, + "step": 17912 + }, + { + "epoch": 0.63, + "learning_rate": 6.126967274154667e-05, + "loss": 0.5205, + "step": 17913 + }, + { + "epoch": 0.63, + "learning_rate": 6.125953010300995e-05, + "loss": 0.5184, + "step": 17914 + }, + { + "epoch": 0.63, + "learning_rate": 6.124938793336205e-05, + "loss": 0.4638, + "step": 17915 + }, + { + "epoch": 0.63, + "learning_rate": 6.123924623272575e-05, + "loss": 0.5464, + "step": 17916 + }, + { + "epoch": 0.63, + "learning_rate": 6.122910500122379e-05, + "loss": 0.5017, + "step": 17917 + }, + { + "epoch": 0.63, + "learning_rate": 6.121896423897886e-05, + "loss": 0.4661, + "step": 17918 + }, + { + "epoch": 0.63, + "learning_rate": 6.120882394611376e-05, + "loss": 0.4709, + "step": 17919 + }, + { + "epoch": 0.63, + "learning_rate": 6.119868412275118e-05, + "loss": 0.4949, + "step": 17920 + }, + { + "epoch": 0.63, + "learning_rate": 6.118854476901389e-05, + "loss": 0.456, + "step": 17921 + }, + { + "epoch": 0.63, + "learning_rate": 6.117840588502458e-05, + "loss": 0.4639, + "step": 17922 + }, + { + "epoch": 0.63, + "learning_rate": 6.116826747090596e-05, + "loss": 0.5137, + "step": 17923 + }, + { + "epoch": 0.63, + "learning_rate": 6.115812952678075e-05, + "loss": 0.4125, + "step": 17924 + }, + { + "epoch": 0.63, + "learning_rate": 6.114799205277164e-05, + "loss": 0.5033, + "step": 17925 + }, + { + "epoch": 0.63, + "learning_rate": 6.113785504900135e-05, + "loss": 0.4106, + "step": 17926 + }, + { + "epoch": 0.63, + "learning_rate": 6.112771851559256e-05, + "loss": 0.4932, + "step": 17927 + }, + { + "epoch": 0.63, + "learning_rate": 6.111758245266794e-05, + "loss": 0.5221, + "step": 17928 + }, + { + "epoch": 0.63, + "learning_rate": 6.11074468603502e-05, + "loss": 0.3808, + "step": 17929 + }, + { + "epoch": 0.63, + "learning_rate": 6.1097311738762e-05, + "loss": 0.5019, + "step": 17930 + }, + { + "epoch": 0.63, + "learning_rate": 6.1087177088026e-05, + "loss": 0.5401, + "step": 17931 + }, + { + "epoch": 0.63, + "learning_rate": 6.107704290826488e-05, + "loss": 0.4136, + "step": 17932 + }, + { + "epoch": 0.63, + "learning_rate": 6.106690919960127e-05, + "loss": 0.5465, + "step": 17933 + }, + { + "epoch": 0.63, + "learning_rate": 6.105677596215787e-05, + "loss": 0.5727, + "step": 17934 + }, + { + "epoch": 0.63, + "learning_rate": 6.104664319605727e-05, + "loss": 0.458, + "step": 17935 + }, + { + "epoch": 0.63, + "learning_rate": 6.103651090142214e-05, + "loss": 0.4918, + "step": 17936 + }, + { + "epoch": 0.63, + "learning_rate": 6.1026379078375117e-05, + "loss": 0.4318, + "step": 17937 + }, + { + "epoch": 0.63, + "learning_rate": 6.101624772703881e-05, + "loss": 0.5655, + "step": 17938 + }, + { + "epoch": 0.63, + "learning_rate": 6.100611684753588e-05, + "loss": 0.4984, + "step": 17939 + }, + { + "epoch": 0.63, + "learning_rate": 6.099598643998892e-05, + "loss": 0.4733, + "step": 17940 + }, + { + "epoch": 0.63, + "learning_rate": 6.098585650452051e-05, + "loss": 0.4572, + "step": 17941 + }, + { + "epoch": 0.63, + "learning_rate": 6.097572704125332e-05, + "loss": 0.4755, + "step": 17942 + }, + { + "epoch": 0.63, + "learning_rate": 6.09655980503099e-05, + "loss": 0.4128, + "step": 17943 + }, + { + "epoch": 0.63, + "learning_rate": 6.095546953181288e-05, + "loss": 0.4853, + "step": 17944 + }, + { + "epoch": 0.63, + "learning_rate": 6.0945341485884824e-05, + "loss": 0.4913, + "step": 17945 + }, + { + "epoch": 0.63, + "learning_rate": 6.0935213912648315e-05, + "loss": 0.437, + "step": 17946 + }, + { + "epoch": 0.63, + "learning_rate": 6.092508681222595e-05, + "loss": 0.4521, + "step": 17947 + }, + { + "epoch": 0.63, + "learning_rate": 6.091496018474028e-05, + "loss": 0.4154, + "step": 17948 + }, + { + "epoch": 0.63, + "learning_rate": 6.090483403031387e-05, + "loss": 0.5076, + "step": 17949 + }, + { + "epoch": 0.63, + "learning_rate": 6.089470834906932e-05, + "loss": 0.5059, + "step": 17950 + }, + { + "epoch": 0.63, + "learning_rate": 6.088458314112912e-05, + "loss": 0.5053, + "step": 17951 + }, + { + "epoch": 0.63, + "learning_rate": 6.0874458406615876e-05, + "loss": 0.4631, + "step": 17952 + }, + { + "epoch": 0.63, + "learning_rate": 6.086433414565211e-05, + "loss": 0.4438, + "step": 17953 + }, + { + "epoch": 0.63, + "learning_rate": 6.085421035836034e-05, + "loss": 0.4761, + "step": 17954 + }, + { + "epoch": 0.63, + "learning_rate": 6.084408704486313e-05, + "loss": 0.5388, + "step": 17955 + }, + { + "epoch": 0.63, + "learning_rate": 6.083396420528298e-05, + "loss": 0.4536, + "step": 17956 + }, + { + "epoch": 0.63, + "learning_rate": 6.082384183974244e-05, + "loss": 0.5522, + "step": 17957 + }, + { + "epoch": 0.63, + "learning_rate": 6.081371994836399e-05, + "loss": 0.4913, + "step": 17958 + }, + { + "epoch": 0.63, + "learning_rate": 6.080359853127015e-05, + "loss": 0.4896, + "step": 17959 + }, + { + "epoch": 0.63, + "learning_rate": 6.079347758858344e-05, + "loss": 0.4893, + "step": 17960 + }, + { + "epoch": 0.63, + "learning_rate": 6.078335712042634e-05, + "loss": 0.4871, + "step": 17961 + }, + { + "epoch": 0.63, + "learning_rate": 6.077323712692133e-05, + "loss": 0.6495, + "step": 17962 + }, + { + "epoch": 0.63, + "learning_rate": 6.0763117608190934e-05, + "loss": 0.5145, + "step": 17963 + }, + { + "epoch": 0.63, + "learning_rate": 6.075299856435759e-05, + "loss": 0.4682, + "step": 17964 + }, + { + "epoch": 0.63, + "learning_rate": 6.074287999554381e-05, + "loss": 0.5244, + "step": 17965 + }, + { + "epoch": 0.63, + "learning_rate": 6.073276190187205e-05, + "loss": 0.4247, + "step": 17966 + }, + { + "epoch": 0.63, + "learning_rate": 6.0722644283464726e-05, + "loss": 0.5341, + "step": 17967 + }, + { + "epoch": 0.63, + "learning_rate": 6.071252714044438e-05, + "loss": 0.467, + "step": 17968 + }, + { + "epoch": 0.63, + "learning_rate": 6.070241047293338e-05, + "loss": 0.4574, + "step": 17969 + }, + { + "epoch": 0.63, + "learning_rate": 6.069229428105423e-05, + "loss": 0.4526, + "step": 17970 + }, + { + "epoch": 0.63, + "learning_rate": 6.068217856492937e-05, + "loss": 0.5081, + "step": 17971 + }, + { + "epoch": 0.63, + "learning_rate": 6.067206332468117e-05, + "loss": 0.5391, + "step": 17972 + }, + { + "epoch": 0.63, + "learning_rate": 6.0661948560432134e-05, + "loss": 0.4977, + "step": 17973 + }, + { + "epoch": 0.63, + "learning_rate": 6.0651834272304634e-05, + "loss": 0.4615, + "step": 17974 + }, + { + "epoch": 0.63, + "learning_rate": 6.064172046042112e-05, + "loss": 0.4574, + "step": 17975 + }, + { + "epoch": 0.63, + "learning_rate": 6.0631607124903976e-05, + "loss": 0.5176, + "step": 17976 + }, + { + "epoch": 0.63, + "learning_rate": 6.062149426587561e-05, + "loss": 0.4321, + "step": 17977 + }, + { + "epoch": 0.63, + "learning_rate": 6.061138188345845e-05, + "loss": 0.4904, + "step": 17978 + }, + { + "epoch": 0.63, + "learning_rate": 6.060126997777487e-05, + "loss": 0.4085, + "step": 17979 + }, + { + "epoch": 0.63, + "learning_rate": 6.0591158548947235e-05, + "loss": 0.5491, + "step": 17980 + }, + { + "epoch": 0.63, + "learning_rate": 6.058104759709797e-05, + "loss": 0.4075, + "step": 17981 + }, + { + "epoch": 0.63, + "learning_rate": 6.0570937122349404e-05, + "loss": 0.4959, + "step": 17982 + }, + { + "epoch": 0.63, + "learning_rate": 6.056082712482396e-05, + "loss": 0.4958, + "step": 17983 + }, + { + "epoch": 0.63, + "learning_rate": 6.055071760464397e-05, + "loss": 0.4538, + "step": 17984 + }, + { + "epoch": 0.63, + "learning_rate": 6.054060856193179e-05, + "loss": 0.4391, + "step": 17985 + }, + { + "epoch": 0.63, + "learning_rate": 6.0530499996809795e-05, + "loss": 0.4576, + "step": 17986 + }, + { + "epoch": 0.63, + "learning_rate": 6.05203919094003e-05, + "loss": 0.4365, + "step": 17987 + }, + { + "epoch": 0.63, + "learning_rate": 6.051028429982568e-05, + "loss": 0.5341, + "step": 17988 + }, + { + "epoch": 0.63, + "learning_rate": 6.050017716820827e-05, + "loss": 0.5464, + "step": 17989 + }, + { + "epoch": 0.63, + "learning_rate": 6.049007051467036e-05, + "loss": 0.4744, + "step": 17990 + }, + { + "epoch": 0.63, + "learning_rate": 6.0479964339334326e-05, + "loss": 0.4697, + "step": 17991 + }, + { + "epoch": 0.63, + "learning_rate": 6.046985864232244e-05, + "loss": 0.5093, + "step": 17992 + }, + { + "epoch": 0.63, + "learning_rate": 6.045975342375705e-05, + "loss": 0.5089, + "step": 17993 + }, + { + "epoch": 0.63, + "learning_rate": 6.044964868376045e-05, + "loss": 0.5347, + "step": 17994 + }, + { + "epoch": 0.63, + "learning_rate": 6.043954442245492e-05, + "loss": 0.4113, + "step": 17995 + }, + { + "epoch": 0.63, + "learning_rate": 6.042944063996281e-05, + "loss": 0.4351, + "step": 17996 + }, + { + "epoch": 0.63, + "learning_rate": 6.041933733640636e-05, + "loss": 0.4429, + "step": 17997 + }, + { + "epoch": 0.63, + "learning_rate": 6.0409234511907855e-05, + "loss": 0.388, + "step": 17998 + }, + { + "epoch": 0.63, + "learning_rate": 6.039913216658959e-05, + "loss": 0.3968, + "step": 17999 + }, + { + "epoch": 0.63, + "learning_rate": 6.038903030057383e-05, + "loss": 0.5066, + "step": 18000 + }, + { + "epoch": 0.63, + "eval_loss": 0.47541379928588867, + "eval_runtime": 851.4684, + "eval_samples_per_second": 28.257, + "eval_steps_per_second": 14.129, + "step": 18000 + }, + { + "epoch": 0.63, + "learning_rate": 6.037892891398287e-05, + "loss": 0.4391, + "step": 18001 + }, + { + "epoch": 0.63, + "learning_rate": 6.036882800693893e-05, + "loss": 0.437, + "step": 18002 + }, + { + "epoch": 0.63, + "learning_rate": 6.03587275795643e-05, + "loss": 0.5586, + "step": 18003 + }, + { + "epoch": 0.63, + "learning_rate": 6.034862763198117e-05, + "loss": 0.4702, + "step": 18004 + }, + { + "epoch": 0.63, + "learning_rate": 6.0338528164311844e-05, + "loss": 0.579, + "step": 18005 + }, + { + "epoch": 0.63, + "learning_rate": 6.0328429176678546e-05, + "loss": 0.4819, + "step": 18006 + }, + { + "epoch": 0.63, + "learning_rate": 6.031833066920347e-05, + "loss": 0.5436, + "step": 18007 + }, + { + "epoch": 0.63, + "learning_rate": 6.030823264200889e-05, + "loss": 0.5318, + "step": 18008 + }, + { + "epoch": 0.63, + "learning_rate": 6.029813509521698e-05, + "loss": 0.5216, + "step": 18009 + }, + { + "epoch": 0.63, + "learning_rate": 6.0288038028950014e-05, + "loss": 0.506, + "step": 18010 + }, + { + "epoch": 0.63, + "learning_rate": 6.0277941443330146e-05, + "loss": 0.5115, + "step": 18011 + }, + { + "epoch": 0.63, + "learning_rate": 6.02678453384796e-05, + "loss": 0.5196, + "step": 18012 + }, + { + "epoch": 0.63, + "learning_rate": 6.025774971452057e-05, + "loss": 0.5178, + "step": 18013 + }, + { + "epoch": 0.63, + "learning_rate": 6.024765457157526e-05, + "loss": 0.4206, + "step": 18014 + }, + { + "epoch": 0.63, + "learning_rate": 6.0237559909765815e-05, + "loss": 0.4811, + "step": 18015 + }, + { + "epoch": 0.63, + "learning_rate": 6.022746572921447e-05, + "loss": 0.4786, + "step": 18016 + }, + { + "epoch": 0.63, + "learning_rate": 6.021737203004334e-05, + "loss": 0.4677, + "step": 18017 + }, + { + "epoch": 0.63, + "learning_rate": 6.0207278812374645e-05, + "loss": 0.488, + "step": 18018 + }, + { + "epoch": 0.63, + "learning_rate": 6.0197186076330525e-05, + "loss": 0.5013, + "step": 18019 + }, + { + "epoch": 0.63, + "learning_rate": 6.0187093822033115e-05, + "loss": 0.4997, + "step": 18020 + }, + { + "epoch": 0.63, + "learning_rate": 6.01770020496046e-05, + "loss": 0.4948, + "step": 18021 + }, + { + "epoch": 0.63, + "learning_rate": 6.016691075916709e-05, + "loss": 0.424, + "step": 18022 + }, + { + "epoch": 0.63, + "learning_rate": 6.015681995084277e-05, + "loss": 0.494, + "step": 18023 + }, + { + "epoch": 0.63, + "learning_rate": 6.0146729624753725e-05, + "loss": 0.4491, + "step": 18024 + }, + { + "epoch": 0.63, + "learning_rate": 6.01366397810221e-05, + "loss": 0.4541, + "step": 18025 + }, + { + "epoch": 0.63, + "learning_rate": 6.0126550419770024e-05, + "loss": 0.4485, + "step": 18026 + }, + { + "epoch": 0.63, + "learning_rate": 6.0116461541119585e-05, + "loss": 0.4061, + "step": 18027 + }, + { + "epoch": 0.63, + "learning_rate": 6.010637314519294e-05, + "loss": 0.449, + "step": 18028 + }, + { + "epoch": 0.63, + "learning_rate": 6.009628523211215e-05, + "loss": 0.5396, + "step": 18029 + }, + { + "epoch": 0.63, + "learning_rate": 6.008619780199931e-05, + "loss": 0.5348, + "step": 18030 + }, + { + "epoch": 0.63, + "learning_rate": 6.007611085497655e-05, + "loss": 0.5547, + "step": 18031 + }, + { + "epoch": 0.63, + "learning_rate": 6.0066024391165944e-05, + "loss": 0.4793, + "step": 18032 + }, + { + "epoch": 0.63, + "learning_rate": 6.005593841068953e-05, + "loss": 0.4843, + "step": 18033 + }, + { + "epoch": 0.63, + "learning_rate": 6.004585291366942e-05, + "loss": 0.526, + "step": 18034 + }, + { + "epoch": 0.63, + "learning_rate": 6.003576790022767e-05, + "loss": 0.5227, + "step": 18035 + }, + { + "epoch": 0.63, + "learning_rate": 6.0025683370486374e-05, + "loss": 0.6062, + "step": 18036 + }, + { + "epoch": 0.63, + "learning_rate": 6.001559932456755e-05, + "loss": 0.4914, + "step": 18037 + }, + { + "epoch": 0.63, + "learning_rate": 6.000551576259324e-05, + "loss": 0.4759, + "step": 18038 + }, + { + "epoch": 0.63, + "learning_rate": 5.999543268468553e-05, + "loss": 0.4652, + "step": 18039 + }, + { + "epoch": 0.63, + "learning_rate": 5.998535009096642e-05, + "loss": 0.5482, + "step": 18040 + }, + { + "epoch": 0.63, + "learning_rate": 5.997526798155798e-05, + "loss": 0.504, + "step": 18041 + }, + { + "epoch": 0.63, + "learning_rate": 5.996518635658222e-05, + "loss": 0.4844, + "step": 18042 + }, + { + "epoch": 0.63, + "learning_rate": 5.995510521616113e-05, + "loss": 0.4624, + "step": 18043 + }, + { + "epoch": 0.63, + "learning_rate": 5.9945024560416786e-05, + "loss": 0.5246, + "step": 18044 + }, + { + "epoch": 0.63, + "learning_rate": 5.993494438947116e-05, + "loss": 0.4487, + "step": 18045 + }, + { + "epoch": 0.63, + "learning_rate": 5.992486470344625e-05, + "loss": 0.5926, + "step": 18046 + }, + { + "epoch": 0.63, + "learning_rate": 5.9914785502464074e-05, + "loss": 0.5133, + "step": 18047 + }, + { + "epoch": 0.63, + "learning_rate": 5.990470678664659e-05, + "loss": 0.4746, + "step": 18048 + }, + { + "epoch": 0.63, + "learning_rate": 5.9894628556115854e-05, + "loss": 0.5425, + "step": 18049 + }, + { + "epoch": 0.63, + "learning_rate": 5.988455081099378e-05, + "loss": 0.4563, + "step": 18050 + }, + { + "epoch": 0.63, + "learning_rate": 5.987447355140235e-05, + "loss": 0.5235, + "step": 18051 + }, + { + "epoch": 0.63, + "learning_rate": 5.9864396777463575e-05, + "loss": 0.5329, + "step": 18052 + }, + { + "epoch": 0.63, + "learning_rate": 5.985432048929935e-05, + "loss": 0.5332, + "step": 18053 + }, + { + "epoch": 0.63, + "learning_rate": 5.9844244687031716e-05, + "loss": 0.465, + "step": 18054 + }, + { + "epoch": 0.63, + "learning_rate": 5.9834169370782566e-05, + "loss": 0.4961, + "step": 18055 + }, + { + "epoch": 0.63, + "learning_rate": 5.9824094540673835e-05, + "loss": 0.5026, + "step": 18056 + }, + { + "epoch": 0.63, + "learning_rate": 5.98140201968275e-05, + "loss": 0.4262, + "step": 18057 + }, + { + "epoch": 0.63, + "learning_rate": 5.9803946339365456e-05, + "loss": 0.5293, + "step": 18058 + }, + { + "epoch": 0.63, + "learning_rate": 5.979387296840969e-05, + "loss": 0.5842, + "step": 18059 + }, + { + "epoch": 0.63, + "learning_rate": 5.978380008408209e-05, + "loss": 0.421, + "step": 18060 + }, + { + "epoch": 0.63, + "learning_rate": 5.9773727686504524e-05, + "loss": 0.4331, + "step": 18061 + }, + { + "epoch": 0.63, + "learning_rate": 5.9763655775798976e-05, + "loss": 0.5045, + "step": 18062 + }, + { + "epoch": 0.63, + "learning_rate": 5.975358435208732e-05, + "loss": 0.5043, + "step": 18063 + }, + { + "epoch": 0.63, + "learning_rate": 5.974351341549142e-05, + "loss": 0.4486, + "step": 18064 + }, + { + "epoch": 0.63, + "learning_rate": 5.973344296613325e-05, + "loss": 0.5165, + "step": 18065 + }, + { + "epoch": 0.63, + "learning_rate": 5.9723373004134596e-05, + "loss": 0.5176, + "step": 18066 + }, + { + "epoch": 0.63, + "learning_rate": 5.971330352961744e-05, + "loss": 0.4785, + "step": 18067 + }, + { + "epoch": 0.63, + "learning_rate": 5.970323454270358e-05, + "loss": 0.5187, + "step": 18068 + }, + { + "epoch": 0.63, + "learning_rate": 5.9693166043514895e-05, + "loss": 0.4314, + "step": 18069 + }, + { + "epoch": 0.63, + "learning_rate": 5.968309803217328e-05, + "loss": 0.5444, + "step": 18070 + }, + { + "epoch": 0.63, + "learning_rate": 5.967303050880055e-05, + "loss": 0.3882, + "step": 18071 + }, + { + "epoch": 0.63, + "learning_rate": 5.9662963473518604e-05, + "loss": 0.4816, + "step": 18072 + }, + { + "epoch": 0.63, + "learning_rate": 5.965289692644927e-05, + "loss": 0.4698, + "step": 18073 + }, + { + "epoch": 0.63, + "learning_rate": 5.964283086771435e-05, + "loss": 0.5783, + "step": 18074 + }, + { + "epoch": 0.63, + "learning_rate": 5.9632765297435735e-05, + "loss": 0.5031, + "step": 18075 + }, + { + "epoch": 0.63, + "learning_rate": 5.9622700215735186e-05, + "loss": 0.4362, + "step": 18076 + }, + { + "epoch": 0.63, + "learning_rate": 5.961263562273458e-05, + "loss": 0.4566, + "step": 18077 + }, + { + "epoch": 0.63, + "learning_rate": 5.960257151855573e-05, + "loss": 0.5397, + "step": 18078 + }, + { + "epoch": 0.63, + "learning_rate": 5.9592507903320396e-05, + "loss": 0.4608, + "step": 18079 + }, + { + "epoch": 0.63, + "learning_rate": 5.9582444777150426e-05, + "loss": 0.4977, + "step": 18080 + }, + { + "epoch": 0.63, + "learning_rate": 5.957238214016762e-05, + "loss": 0.3787, + "step": 18081 + }, + { + "epoch": 0.63, + "learning_rate": 5.956231999249372e-05, + "loss": 0.4518, + "step": 18082 + }, + { + "epoch": 0.63, + "learning_rate": 5.955225833425058e-05, + "loss": 0.491, + "step": 18083 + }, + { + "epoch": 0.63, + "learning_rate": 5.954219716555991e-05, + "loss": 0.4136, + "step": 18084 + }, + { + "epoch": 0.63, + "learning_rate": 5.953213648654354e-05, + "loss": 0.4357, + "step": 18085 + }, + { + "epoch": 0.63, + "learning_rate": 5.9522076297323227e-05, + "loss": 0.5391, + "step": 18086 + }, + { + "epoch": 0.63, + "learning_rate": 5.951201659802068e-05, + "loss": 0.4413, + "step": 18087 + }, + { + "epoch": 0.63, + "learning_rate": 5.9501957388757734e-05, + "loss": 0.5076, + "step": 18088 + }, + { + "epoch": 0.63, + "learning_rate": 5.9491898669656076e-05, + "loss": 0.4672, + "step": 18089 + }, + { + "epoch": 0.63, + "learning_rate": 5.948184044083751e-05, + "loss": 0.4501, + "step": 18090 + }, + { + "epoch": 0.63, + "learning_rate": 5.947178270242373e-05, + "loss": 0.5396, + "step": 18091 + }, + { + "epoch": 0.63, + "learning_rate": 5.9461725454536455e-05, + "loss": 0.4523, + "step": 18092 + }, + { + "epoch": 0.63, + "learning_rate": 5.9451668697297456e-05, + "loss": 0.483, + "step": 18093 + }, + { + "epoch": 0.63, + "learning_rate": 5.944161243082841e-05, + "loss": 0.4991, + "step": 18094 + }, + { + "epoch": 0.63, + "learning_rate": 5.943155665525106e-05, + "loss": 0.5614, + "step": 18095 + }, + { + "epoch": 0.63, + "learning_rate": 5.942150137068714e-05, + "loss": 0.4578, + "step": 18096 + }, + { + "epoch": 0.63, + "learning_rate": 5.941144657725828e-05, + "loss": 0.469, + "step": 18097 + }, + { + "epoch": 0.63, + "learning_rate": 5.940139227508623e-05, + "loss": 0.4911, + "step": 18098 + }, + { + "epoch": 0.63, + "learning_rate": 5.939133846429268e-05, + "loss": 0.4585, + "step": 18099 + }, + { + "epoch": 0.63, + "learning_rate": 5.938128514499928e-05, + "loss": 0.4274, + "step": 18100 + }, + { + "epoch": 0.63, + "learning_rate": 5.937123231732774e-05, + "loss": 0.3977, + "step": 18101 + }, + { + "epoch": 0.63, + "learning_rate": 5.9361179981399714e-05, + "loss": 0.5496, + "step": 18102 + }, + { + "epoch": 0.63, + "learning_rate": 5.9351128137336884e-05, + "loss": 0.4985, + "step": 18103 + }, + { + "epoch": 0.63, + "learning_rate": 5.9341076785260916e-05, + "loss": 0.4949, + "step": 18104 + }, + { + "epoch": 0.63, + "learning_rate": 5.9331025925293425e-05, + "loss": 0.4475, + "step": 18105 + }, + { + "epoch": 0.63, + "learning_rate": 5.9320975557556126e-05, + "loss": 0.4305, + "step": 18106 + }, + { + "epoch": 0.63, + "learning_rate": 5.9310925682170585e-05, + "loss": 0.5059, + "step": 18107 + }, + { + "epoch": 0.63, + "learning_rate": 5.930087629925851e-05, + "loss": 0.4847, + "step": 18108 + }, + { + "epoch": 0.63, + "learning_rate": 5.9290827408941495e-05, + "loss": 0.4252, + "step": 18109 + }, + { + "epoch": 0.63, + "learning_rate": 5.928077901134115e-05, + "loss": 0.4569, + "step": 18110 + }, + { + "epoch": 0.63, + "learning_rate": 5.927073110657915e-05, + "loss": 0.5276, + "step": 18111 + }, + { + "epoch": 0.63, + "learning_rate": 5.926068369477704e-05, + "loss": 0.4797, + "step": 18112 + }, + { + "epoch": 0.63, + "learning_rate": 5.925063677605647e-05, + "loss": 0.4542, + "step": 18113 + }, + { + "epoch": 0.63, + "learning_rate": 5.924059035053904e-05, + "loss": 0.536, + "step": 18114 + }, + { + "epoch": 0.63, + "learning_rate": 5.9230544418346315e-05, + "loss": 0.4261, + "step": 18115 + }, + { + "epoch": 0.63, + "learning_rate": 5.922049897959991e-05, + "loss": 0.5173, + "step": 18116 + }, + { + "epoch": 0.63, + "learning_rate": 5.9210454034421426e-05, + "loss": 0.574, + "step": 18117 + }, + { + "epoch": 0.63, + "learning_rate": 5.9200409582932406e-05, + "loss": 0.5, + "step": 18118 + }, + { + "epoch": 0.63, + "learning_rate": 5.919036562525443e-05, + "loss": 0.5089, + "step": 18119 + }, + { + "epoch": 0.63, + "learning_rate": 5.918032216150906e-05, + "loss": 0.4824, + "step": 18120 + }, + { + "epoch": 0.63, + "learning_rate": 5.9170279191817876e-05, + "loss": 0.4849, + "step": 18121 + }, + { + "epoch": 0.63, + "learning_rate": 5.916023671630242e-05, + "loss": 0.4185, + "step": 18122 + }, + { + "epoch": 0.63, + "learning_rate": 5.9150194735084206e-05, + "loss": 0.4865, + "step": 18123 + }, + { + "epoch": 0.63, + "learning_rate": 5.9140153248284843e-05, + "loss": 0.4531, + "step": 18124 + }, + { + "epoch": 0.63, + "learning_rate": 5.91301122560258e-05, + "loss": 0.4419, + "step": 18125 + }, + { + "epoch": 0.63, + "learning_rate": 5.912007175842866e-05, + "loss": 0.4617, + "step": 18126 + }, + { + "epoch": 0.63, + "learning_rate": 5.911003175561494e-05, + "loss": 0.4626, + "step": 18127 + }, + { + "epoch": 0.63, + "learning_rate": 5.90999922477061e-05, + "loss": 0.5072, + "step": 18128 + }, + { + "epoch": 0.63, + "learning_rate": 5.908995323482371e-05, + "loss": 0.479, + "step": 18129 + }, + { + "epoch": 0.63, + "learning_rate": 5.9079914717089265e-05, + "loss": 0.4473, + "step": 18130 + }, + { + "epoch": 0.63, + "learning_rate": 5.906987669462424e-05, + "loss": 0.4713, + "step": 18131 + }, + { + "epoch": 0.63, + "learning_rate": 5.905983916755016e-05, + "loss": 0.4868, + "step": 18132 + }, + { + "epoch": 0.63, + "learning_rate": 5.9049802135988474e-05, + "loss": 0.4732, + "step": 18133 + }, + { + "epoch": 0.63, + "learning_rate": 5.903976560006071e-05, + "loss": 0.4657, + "step": 18134 + }, + { + "epoch": 0.63, + "learning_rate": 5.9029729559888325e-05, + "loss": 0.4429, + "step": 18135 + }, + { + "epoch": 0.63, + "learning_rate": 5.9019694015592776e-05, + "loss": 0.5333, + "step": 18136 + }, + { + "epoch": 0.63, + "learning_rate": 5.9009658967295556e-05, + "loss": 0.4874, + "step": 18137 + }, + { + "epoch": 0.63, + "learning_rate": 5.899962441511808e-05, + "loss": 0.4693, + "step": 18138 + }, + { + "epoch": 0.63, + "learning_rate": 5.8989590359181836e-05, + "loss": 0.5162, + "step": 18139 + }, + { + "epoch": 0.63, + "learning_rate": 5.897955679960823e-05, + "loss": 0.406, + "step": 18140 + }, + { + "epoch": 0.63, + "learning_rate": 5.896952373651874e-05, + "loss": 0.4443, + "step": 18141 + }, + { + "epoch": 0.63, + "learning_rate": 5.8959491170034775e-05, + "loss": 0.4078, + "step": 18142 + }, + { + "epoch": 0.63, + "learning_rate": 5.894945910027778e-05, + "loss": 0.4597, + "step": 18143 + }, + { + "epoch": 0.63, + "learning_rate": 5.8939427527369185e-05, + "loss": 0.5231, + "step": 18144 + }, + { + "epoch": 0.63, + "learning_rate": 5.8929396451430364e-05, + "loss": 0.5077, + "step": 18145 + }, + { + "epoch": 0.63, + "learning_rate": 5.8919365872582776e-05, + "loss": 0.5236, + "step": 18146 + }, + { + "epoch": 0.64, + "learning_rate": 5.89093357909478e-05, + "loss": 0.4511, + "step": 18147 + }, + { + "epoch": 0.64, + "learning_rate": 5.889930620664681e-05, + "loss": 0.4937, + "step": 18148 + }, + { + "epoch": 0.64, + "learning_rate": 5.8889277119801246e-05, + "loss": 0.5336, + "step": 18149 + }, + { + "epoch": 0.64, + "learning_rate": 5.887924853053245e-05, + "loss": 0.4709, + "step": 18150 + }, + { + "epoch": 0.64, + "learning_rate": 5.886922043896184e-05, + "loss": 0.5062, + "step": 18151 + }, + { + "epoch": 0.64, + "learning_rate": 5.885919284521076e-05, + "loss": 0.54, + "step": 18152 + }, + { + "epoch": 0.64, + "learning_rate": 5.884916574940058e-05, + "loss": 0.5067, + "step": 18153 + }, + { + "epoch": 0.64, + "learning_rate": 5.883913915165269e-05, + "loss": 0.3933, + "step": 18154 + }, + { + "epoch": 0.64, + "learning_rate": 5.882911305208839e-05, + "loss": 0.5044, + "step": 18155 + }, + { + "epoch": 0.64, + "learning_rate": 5.881908745082909e-05, + "loss": 0.4378, + "step": 18156 + }, + { + "epoch": 0.64, + "learning_rate": 5.8809062347996116e-05, + "loss": 0.4311, + "step": 18157 + }, + { + "epoch": 0.64, + "learning_rate": 5.879903774371076e-05, + "loss": 0.4676, + "step": 18158 + }, + { + "epoch": 0.64, + "learning_rate": 5.878901363809441e-05, + "loss": 0.4064, + "step": 18159 + }, + { + "epoch": 0.64, + "learning_rate": 5.8778990031268364e-05, + "loss": 0.4497, + "step": 18160 + }, + { + "epoch": 0.64, + "learning_rate": 5.876896692335396e-05, + "loss": 0.5295, + "step": 18161 + }, + { + "epoch": 0.64, + "learning_rate": 5.8758944314472506e-05, + "loss": 0.4108, + "step": 18162 + }, + { + "epoch": 0.64, + "learning_rate": 5.874892220474526e-05, + "loss": 0.5133, + "step": 18163 + }, + { + "epoch": 0.64, + "learning_rate": 5.87389005942936e-05, + "loss": 0.4355, + "step": 18164 + }, + { + "epoch": 0.64, + "learning_rate": 5.8728879483238777e-05, + "loss": 0.5448, + "step": 18165 + }, + { + "epoch": 0.64, + "learning_rate": 5.871885887170207e-05, + "loss": 0.5513, + "step": 18166 + }, + { + "epoch": 0.64, + "learning_rate": 5.8708838759804796e-05, + "loss": 0.5751, + "step": 18167 + }, + { + "epoch": 0.64, + "learning_rate": 5.869881914766821e-05, + "loss": 0.5226, + "step": 18168 + }, + { + "epoch": 0.64, + "learning_rate": 5.868880003541359e-05, + "loss": 0.4446, + "step": 18169 + }, + { + "epoch": 0.64, + "learning_rate": 5.867878142316221e-05, + "loss": 0.4844, + "step": 18170 + }, + { + "epoch": 0.64, + "learning_rate": 5.866876331103529e-05, + "loss": 0.5321, + "step": 18171 + }, + { + "epoch": 0.64, + "learning_rate": 5.8658745699154125e-05, + "loss": 0.411, + "step": 18172 + }, + { + "epoch": 0.64, + "learning_rate": 5.8648728587639945e-05, + "loss": 0.5851, + "step": 18173 + }, + { + "epoch": 0.64, + "learning_rate": 5.8638711976613994e-05, + "loss": 0.4678, + "step": 18174 + }, + { + "epoch": 0.64, + "learning_rate": 5.8628695866197504e-05, + "loss": 0.4638, + "step": 18175 + }, + { + "epoch": 0.64, + "learning_rate": 5.861868025651169e-05, + "loss": 0.3879, + "step": 18176 + }, + { + "epoch": 0.64, + "learning_rate": 5.86086651476778e-05, + "loss": 0.4049, + "step": 18177 + }, + { + "epoch": 0.64, + "learning_rate": 5.859865053981703e-05, + "loss": 0.5082, + "step": 18178 + }, + { + "epoch": 0.64, + "learning_rate": 5.858863643305062e-05, + "loss": 0.5054, + "step": 18179 + }, + { + "epoch": 0.64, + "learning_rate": 5.857862282749973e-05, + "loss": 0.5161, + "step": 18180 + }, + { + "epoch": 0.64, + "learning_rate": 5.856860972328557e-05, + "loss": 0.3856, + "step": 18181 + }, + { + "epoch": 0.64, + "learning_rate": 5.855859712052937e-05, + "loss": 0.3836, + "step": 18182 + }, + { + "epoch": 0.64, + "learning_rate": 5.854858501935227e-05, + "loss": 0.5987, + "step": 18183 + }, + { + "epoch": 0.64, + "learning_rate": 5.8538573419875474e-05, + "loss": 0.5183, + "step": 18184 + }, + { + "epoch": 0.64, + "learning_rate": 5.8528562322220146e-05, + "loss": 0.4367, + "step": 18185 + }, + { + "epoch": 0.64, + "learning_rate": 5.8518551726507455e-05, + "loss": 0.449, + "step": 18186 + }, + { + "epoch": 0.64, + "learning_rate": 5.850854163285857e-05, + "loss": 0.4519, + "step": 18187 + }, + { + "epoch": 0.64, + "learning_rate": 5.849853204139465e-05, + "loss": 0.5301, + "step": 18188 + }, + { + "epoch": 0.64, + "learning_rate": 5.848852295223681e-05, + "loss": 0.4739, + "step": 18189 + }, + { + "epoch": 0.64, + "learning_rate": 5.847851436550624e-05, + "loss": 0.5493, + "step": 18190 + }, + { + "epoch": 0.64, + "learning_rate": 5.846850628132403e-05, + "loss": 0.4345, + "step": 18191 + }, + { + "epoch": 0.64, + "learning_rate": 5.845849869981137e-05, + "loss": 0.4846, + "step": 18192 + }, + { + "epoch": 0.64, + "learning_rate": 5.844849162108934e-05, + "loss": 0.4668, + "step": 18193 + }, + { + "epoch": 0.64, + "learning_rate": 5.8438485045279066e-05, + "loss": 0.4643, + "step": 18194 + }, + { + "epoch": 0.64, + "learning_rate": 5.842847897250168e-05, + "loss": 0.4394, + "step": 18195 + }, + { + "epoch": 0.64, + "learning_rate": 5.841847340287827e-05, + "loss": 0.5364, + "step": 18196 + }, + { + "epoch": 0.64, + "learning_rate": 5.840846833652992e-05, + "loss": 0.4393, + "step": 18197 + }, + { + "epoch": 0.64, + "learning_rate": 5.839846377357776e-05, + "loss": 0.4342, + "step": 18198 + }, + { + "epoch": 0.64, + "learning_rate": 5.838845971414286e-05, + "loss": 0.4702, + "step": 18199 + }, + { + "epoch": 0.64, + "learning_rate": 5.8378456158346314e-05, + "loss": 0.4388, + "step": 18200 + }, + { + "epoch": 0.64, + "eval_loss": 0.4717486500740051, + "eval_runtime": 851.7916, + "eval_samples_per_second": 28.246, + "eval_steps_per_second": 14.123, + "step": 18200 + }, + { + "epoch": 0.64, + "learning_rate": 5.836845310630921e-05, + "loss": 0.4437, + "step": 18201 + }, + { + "epoch": 0.64, + "learning_rate": 5.835845055815259e-05, + "loss": 0.5751, + "step": 18202 + }, + { + "epoch": 0.64, + "learning_rate": 5.834844851399749e-05, + "loss": 0.4595, + "step": 18203 + }, + { + "epoch": 0.64, + "learning_rate": 5.8338446973965045e-05, + "loss": 0.4863, + "step": 18204 + }, + { + "epoch": 0.64, + "learning_rate": 5.8328445938176266e-05, + "loss": 0.4231, + "step": 18205 + }, + { + "epoch": 0.64, + "learning_rate": 5.831844540675221e-05, + "loss": 0.4969, + "step": 18206 + }, + { + "epoch": 0.64, + "learning_rate": 5.8308445379813906e-05, + "loss": 0.4821, + "step": 18207 + }, + { + "epoch": 0.64, + "learning_rate": 5.829844585748234e-05, + "loss": 0.4745, + "step": 18208 + }, + { + "epoch": 0.64, + "learning_rate": 5.828844683987863e-05, + "loss": 0.6099, + "step": 18209 + }, + { + "epoch": 0.64, + "learning_rate": 5.827844832712377e-05, + "loss": 0.408, + "step": 18210 + }, + { + "epoch": 0.64, + "learning_rate": 5.826845031933874e-05, + "loss": 0.5273, + "step": 18211 + }, + { + "epoch": 0.64, + "learning_rate": 5.825845281664459e-05, + "loss": 0.5084, + "step": 18212 + }, + { + "epoch": 0.64, + "learning_rate": 5.824845581916225e-05, + "loss": 0.5029, + "step": 18213 + }, + { + "epoch": 0.64, + "learning_rate": 5.823845932701283e-05, + "loss": 0.4776, + "step": 18214 + }, + { + "epoch": 0.64, + "learning_rate": 5.8228463340317244e-05, + "loss": 0.5019, + "step": 18215 + }, + { + "epoch": 0.64, + "learning_rate": 5.821846785919651e-05, + "loss": 0.4898, + "step": 18216 + }, + { + "epoch": 0.64, + "learning_rate": 5.820847288377158e-05, + "loss": 0.472, + "step": 18217 + }, + { + "epoch": 0.64, + "learning_rate": 5.81984784141634e-05, + "loss": 0.4492, + "step": 18218 + }, + { + "epoch": 0.64, + "learning_rate": 5.818848445049302e-05, + "loss": 0.5332, + "step": 18219 + }, + { + "epoch": 0.64, + "learning_rate": 5.817849099288135e-05, + "loss": 0.4879, + "step": 18220 + }, + { + "epoch": 0.64, + "learning_rate": 5.8168498041449346e-05, + "loss": 0.4498, + "step": 18221 + }, + { + "epoch": 0.64, + "learning_rate": 5.815850559631797e-05, + "loss": 0.4999, + "step": 18222 + }, + { + "epoch": 0.64, + "learning_rate": 5.814851365760814e-05, + "loss": 0.5032, + "step": 18223 + }, + { + "epoch": 0.64, + "learning_rate": 5.8138522225440786e-05, + "loss": 0.4477, + "step": 18224 + }, + { + "epoch": 0.64, + "learning_rate": 5.812853129993687e-05, + "loss": 0.5137, + "step": 18225 + }, + { + "epoch": 0.64, + "learning_rate": 5.811854088121731e-05, + "loss": 0.4121, + "step": 18226 + }, + { + "epoch": 0.64, + "learning_rate": 5.810855096940302e-05, + "loss": 0.4933, + "step": 18227 + }, + { + "epoch": 0.64, + "learning_rate": 5.80985615646149e-05, + "loss": 0.5244, + "step": 18228 + }, + { + "epoch": 0.64, + "learning_rate": 5.808857266697383e-05, + "loss": 0.4637, + "step": 18229 + }, + { + "epoch": 0.64, + "learning_rate": 5.807858427660078e-05, + "loss": 0.5582, + "step": 18230 + }, + { + "epoch": 0.64, + "learning_rate": 5.8068596393616594e-05, + "loss": 0.4114, + "step": 18231 + }, + { + "epoch": 0.64, + "learning_rate": 5.8058609018142177e-05, + "loss": 0.5266, + "step": 18232 + }, + { + "epoch": 0.64, + "learning_rate": 5.804862215029839e-05, + "loss": 0.5056, + "step": 18233 + }, + { + "epoch": 0.64, + "learning_rate": 5.803863579020609e-05, + "loss": 0.5054, + "step": 18234 + }, + { + "epoch": 0.64, + "learning_rate": 5.80286499379862e-05, + "loss": 0.4783, + "step": 18235 + }, + { + "epoch": 0.64, + "learning_rate": 5.801866459375956e-05, + "loss": 0.4754, + "step": 18236 + }, + { + "epoch": 0.64, + "learning_rate": 5.800867975764703e-05, + "loss": 0.5828, + "step": 18237 + }, + { + "epoch": 0.64, + "learning_rate": 5.7998695429769444e-05, + "loss": 0.4827, + "step": 18238 + }, + { + "epoch": 0.64, + "learning_rate": 5.798871161024762e-05, + "loss": 0.4431, + "step": 18239 + }, + { + "epoch": 0.64, + "learning_rate": 5.797872829920245e-05, + "loss": 0.5773, + "step": 18240 + }, + { + "epoch": 0.64, + "learning_rate": 5.796874549675475e-05, + "loss": 0.4403, + "step": 18241 + }, + { + "epoch": 0.64, + "learning_rate": 5.795876320302536e-05, + "loss": 0.4241, + "step": 18242 + }, + { + "epoch": 0.64, + "learning_rate": 5.794878141813505e-05, + "loss": 0.459, + "step": 18243 + }, + { + "epoch": 0.64, + "learning_rate": 5.793880014220463e-05, + "loss": 0.4222, + "step": 18244 + }, + { + "epoch": 0.64, + "learning_rate": 5.792881937535498e-05, + "loss": 0.5468, + "step": 18245 + }, + { + "epoch": 0.64, + "learning_rate": 5.7918839117706855e-05, + "loss": 0.4668, + "step": 18246 + }, + { + "epoch": 0.64, + "learning_rate": 5.790885936938105e-05, + "loss": 0.5031, + "step": 18247 + }, + { + "epoch": 0.64, + "learning_rate": 5.7898880130498356e-05, + "loss": 0.4826, + "step": 18248 + }, + { + "epoch": 0.64, + "learning_rate": 5.788890140117953e-05, + "loss": 0.4283, + "step": 18249 + }, + { + "epoch": 0.64, + "learning_rate": 5.78789231815454e-05, + "loss": 0.5023, + "step": 18250 + }, + { + "epoch": 0.64, + "learning_rate": 5.7868945471716694e-05, + "loss": 0.465, + "step": 18251 + }, + { + "epoch": 0.64, + "learning_rate": 5.785896827181421e-05, + "loss": 0.4278, + "step": 18252 + }, + { + "epoch": 0.64, + "learning_rate": 5.7848991581958665e-05, + "loss": 0.5212, + "step": 18253 + }, + { + "epoch": 0.64, + "learning_rate": 5.7839015402270855e-05, + "loss": 0.4739, + "step": 18254 + }, + { + "epoch": 0.64, + "learning_rate": 5.782903973287144e-05, + "loss": 0.4657, + "step": 18255 + }, + { + "epoch": 0.64, + "learning_rate": 5.7819064573881266e-05, + "loss": 0.3904, + "step": 18256 + }, + { + "epoch": 0.64, + "learning_rate": 5.780908992542102e-05, + "loss": 0.4697, + "step": 18257 + }, + { + "epoch": 0.64, + "learning_rate": 5.779911578761143e-05, + "loss": 0.4448, + "step": 18258 + }, + { + "epoch": 0.64, + "learning_rate": 5.778914216057321e-05, + "loss": 0.5103, + "step": 18259 + }, + { + "epoch": 0.64, + "learning_rate": 5.777916904442704e-05, + "loss": 0.433, + "step": 18260 + }, + { + "epoch": 0.64, + "learning_rate": 5.776919643929371e-05, + "loss": 0.5237, + "step": 18261 + }, + { + "epoch": 0.64, + "learning_rate": 5.775922434529386e-05, + "loss": 0.5128, + "step": 18262 + }, + { + "epoch": 0.64, + "learning_rate": 5.774925276254821e-05, + "loss": 0.5723, + "step": 18263 + }, + { + "epoch": 0.64, + "learning_rate": 5.773928169117745e-05, + "loss": 0.4508, + "step": 18264 + }, + { + "epoch": 0.64, + "learning_rate": 5.772931113130221e-05, + "loss": 0.5025, + "step": 18265 + }, + { + "epoch": 0.64, + "learning_rate": 5.771934108304325e-05, + "loss": 0.5804, + "step": 18266 + }, + { + "epoch": 0.64, + "learning_rate": 5.770937154652121e-05, + "loss": 0.5304, + "step": 18267 + }, + { + "epoch": 0.64, + "learning_rate": 5.769940252185675e-05, + "loss": 0.497, + "step": 18268 + }, + { + "epoch": 0.64, + "learning_rate": 5.768943400917053e-05, + "loss": 0.4277, + "step": 18269 + }, + { + "epoch": 0.64, + "learning_rate": 5.7679466008583137e-05, + "loss": 0.4616, + "step": 18270 + }, + { + "epoch": 0.64, + "learning_rate": 5.7669498520215336e-05, + "loss": 0.5072, + "step": 18271 + }, + { + "epoch": 0.64, + "learning_rate": 5.765953154418775e-05, + "loss": 0.4728, + "step": 18272 + }, + { + "epoch": 0.64, + "learning_rate": 5.764956508062092e-05, + "loss": 0.6094, + "step": 18273 + }, + { + "epoch": 0.64, + "learning_rate": 5.76395991296355e-05, + "loss": 0.4388, + "step": 18274 + }, + { + "epoch": 0.64, + "learning_rate": 5.762963369135217e-05, + "loss": 0.5028, + "step": 18275 + }, + { + "epoch": 0.64, + "learning_rate": 5.761966876589151e-05, + "loss": 0.5039, + "step": 18276 + }, + { + "epoch": 0.64, + "learning_rate": 5.760970435337414e-05, + "loss": 0.5069, + "step": 18277 + }, + { + "epoch": 0.64, + "learning_rate": 5.759974045392064e-05, + "loss": 0.4439, + "step": 18278 + }, + { + "epoch": 0.64, + "learning_rate": 5.7589777067651586e-05, + "loss": 0.4767, + "step": 18279 + }, + { + "epoch": 0.64, + "learning_rate": 5.757981419468763e-05, + "loss": 0.4771, + "step": 18280 + }, + { + "epoch": 0.64, + "learning_rate": 5.7569851835149344e-05, + "loss": 0.4622, + "step": 18281 + }, + { + "epoch": 0.64, + "learning_rate": 5.755988998915729e-05, + "loss": 0.3775, + "step": 18282 + }, + { + "epoch": 0.64, + "learning_rate": 5.754992865683203e-05, + "loss": 0.527, + "step": 18283 + }, + { + "epoch": 0.64, + "learning_rate": 5.753996783829409e-05, + "loss": 0.5422, + "step": 18284 + }, + { + "epoch": 0.64, + "learning_rate": 5.753000753366414e-05, + "loss": 0.4589, + "step": 18285 + }, + { + "epoch": 0.64, + "learning_rate": 5.752004774306267e-05, + "loss": 0.5504, + "step": 18286 + }, + { + "epoch": 0.64, + "learning_rate": 5.7510088466610214e-05, + "loss": 0.4782, + "step": 18287 + }, + { + "epoch": 0.64, + "learning_rate": 5.750012970442733e-05, + "loss": 0.4361, + "step": 18288 + }, + { + "epoch": 0.64, + "learning_rate": 5.74901714566345e-05, + "loss": 0.4716, + "step": 18289 + }, + { + "epoch": 0.64, + "learning_rate": 5.748021372335235e-05, + "loss": 0.5915, + "step": 18290 + }, + { + "epoch": 0.64, + "learning_rate": 5.7470256504701347e-05, + "loss": 0.5028, + "step": 18291 + }, + { + "epoch": 0.64, + "learning_rate": 5.746029980080201e-05, + "loss": 0.4278, + "step": 18292 + }, + { + "epoch": 0.64, + "learning_rate": 5.745034361177486e-05, + "loss": 0.4672, + "step": 18293 + }, + { + "epoch": 0.64, + "learning_rate": 5.744038793774038e-05, + "loss": 0.5183, + "step": 18294 + }, + { + "epoch": 0.64, + "learning_rate": 5.743043277881903e-05, + "loss": 0.4745, + "step": 18295 + }, + { + "epoch": 0.64, + "learning_rate": 5.74204781351314e-05, + "loss": 0.5001, + "step": 18296 + }, + { + "epoch": 0.64, + "learning_rate": 5.7410524006797915e-05, + "loss": 0.4438, + "step": 18297 + }, + { + "epoch": 0.64, + "learning_rate": 5.740057039393906e-05, + "loss": 0.5024, + "step": 18298 + }, + { + "epoch": 0.64, + "learning_rate": 5.7390617296675294e-05, + "loss": 0.5581, + "step": 18299 + }, + { + "epoch": 0.64, + "learning_rate": 5.7380664715127074e-05, + "loss": 0.4608, + "step": 18300 + }, + { + "epoch": 0.64, + "learning_rate": 5.737071264941492e-05, + "loss": 0.5087, + "step": 18301 + }, + { + "epoch": 0.64, + "learning_rate": 5.7360761099659235e-05, + "loss": 0.5197, + "step": 18302 + }, + { + "epoch": 0.64, + "learning_rate": 5.735081006598048e-05, + "loss": 0.4678, + "step": 18303 + }, + { + "epoch": 0.64, + "learning_rate": 5.7340859548499085e-05, + "loss": 0.4779, + "step": 18304 + }, + { + "epoch": 0.64, + "learning_rate": 5.733090954733547e-05, + "loss": 0.5192, + "step": 18305 + }, + { + "epoch": 0.64, + "learning_rate": 5.732096006261011e-05, + "loss": 0.4763, + "step": 18306 + }, + { + "epoch": 0.64, + "learning_rate": 5.73110110944434e-05, + "loss": 0.453, + "step": 18307 + }, + { + "epoch": 0.64, + "learning_rate": 5.730106264295576e-05, + "loss": 0.5641, + "step": 18308 + }, + { + "epoch": 0.64, + "learning_rate": 5.72911147082676e-05, + "loss": 0.4761, + "step": 18309 + }, + { + "epoch": 0.64, + "learning_rate": 5.728116729049928e-05, + "loss": 0.4325, + "step": 18310 + }, + { + "epoch": 0.64, + "learning_rate": 5.727122038977129e-05, + "loss": 0.502, + "step": 18311 + }, + { + "epoch": 0.64, + "learning_rate": 5.726127400620395e-05, + "loss": 0.5681, + "step": 18312 + }, + { + "epoch": 0.64, + "learning_rate": 5.725132813991766e-05, + "loss": 0.4443, + "step": 18313 + }, + { + "epoch": 0.64, + "learning_rate": 5.72413827910328e-05, + "loss": 0.4513, + "step": 18314 + }, + { + "epoch": 0.64, + "learning_rate": 5.723143795966972e-05, + "loss": 0.5056, + "step": 18315 + }, + { + "epoch": 0.64, + "learning_rate": 5.722149364594883e-05, + "loss": 0.4835, + "step": 18316 + }, + { + "epoch": 0.64, + "learning_rate": 5.721154984999047e-05, + "loss": 0.4239, + "step": 18317 + }, + { + "epoch": 0.64, + "learning_rate": 5.7201606571915e-05, + "loss": 0.4577, + "step": 18318 + }, + { + "epoch": 0.64, + "learning_rate": 5.719166381184274e-05, + "loss": 0.4303, + "step": 18319 + }, + { + "epoch": 0.64, + "learning_rate": 5.718172156989402e-05, + "loss": 0.589, + "step": 18320 + }, + { + "epoch": 0.64, + "learning_rate": 5.7171779846189244e-05, + "loss": 0.4503, + "step": 18321 + }, + { + "epoch": 0.64, + "learning_rate": 5.7161838640848685e-05, + "loss": 0.402, + "step": 18322 + }, + { + "epoch": 0.64, + "learning_rate": 5.7151897953992686e-05, + "loss": 0.4546, + "step": 18323 + }, + { + "epoch": 0.64, + "learning_rate": 5.7141957785741554e-05, + "loss": 0.5071, + "step": 18324 + }, + { + "epoch": 0.64, + "learning_rate": 5.7132018136215594e-05, + "loss": 0.5025, + "step": 18325 + }, + { + "epoch": 0.64, + "learning_rate": 5.712207900553508e-05, + "loss": 0.4901, + "step": 18326 + }, + { + "epoch": 0.64, + "learning_rate": 5.711214039382037e-05, + "loss": 0.5166, + "step": 18327 + }, + { + "epoch": 0.64, + "learning_rate": 5.710220230119173e-05, + "loss": 0.4897, + "step": 18328 + }, + { + "epoch": 0.64, + "learning_rate": 5.709226472776944e-05, + "loss": 0.5862, + "step": 18329 + }, + { + "epoch": 0.64, + "learning_rate": 5.7082327673673785e-05, + "loss": 0.5611, + "step": 18330 + }, + { + "epoch": 0.64, + "learning_rate": 5.707239113902498e-05, + "loss": 0.3681, + "step": 18331 + }, + { + "epoch": 0.64, + "learning_rate": 5.706245512394338e-05, + "loss": 0.4552, + "step": 18332 + }, + { + "epoch": 0.64, + "learning_rate": 5.70525196285492e-05, + "loss": 0.4317, + "step": 18333 + }, + { + "epoch": 0.64, + "learning_rate": 5.704258465296271e-05, + "loss": 0.4457, + "step": 18334 + }, + { + "epoch": 0.64, + "learning_rate": 5.7032650197304125e-05, + "loss": 0.5172, + "step": 18335 + }, + { + "epoch": 0.64, + "learning_rate": 5.702271626169368e-05, + "loss": 0.5242, + "step": 18336 + }, + { + "epoch": 0.64, + "learning_rate": 5.701278284625165e-05, + "loss": 0.4417, + "step": 18337 + }, + { + "epoch": 0.64, + "learning_rate": 5.700284995109826e-05, + "loss": 0.4328, + "step": 18338 + }, + { + "epoch": 0.64, + "learning_rate": 5.699291757635371e-05, + "loss": 0.481, + "step": 18339 + }, + { + "epoch": 0.64, + "learning_rate": 5.698298572213823e-05, + "loss": 0.4722, + "step": 18340 + }, + { + "epoch": 0.64, + "learning_rate": 5.697305438857196e-05, + "loss": 0.4543, + "step": 18341 + }, + { + "epoch": 0.64, + "learning_rate": 5.69631235757752e-05, + "loss": 0.5192, + "step": 18342 + }, + { + "epoch": 0.64, + "learning_rate": 5.695319328386811e-05, + "loss": 0.4695, + "step": 18343 + }, + { + "epoch": 0.64, + "learning_rate": 5.694326351297088e-05, + "loss": 0.5955, + "step": 18344 + }, + { + "epoch": 0.64, + "learning_rate": 5.693333426320368e-05, + "loss": 0.4603, + "step": 18345 + }, + { + "epoch": 0.64, + "learning_rate": 5.6923405534686666e-05, + "loss": 0.5996, + "step": 18346 + }, + { + "epoch": 0.64, + "learning_rate": 5.6913477327540085e-05, + "loss": 0.4034, + "step": 18347 + }, + { + "epoch": 0.64, + "learning_rate": 5.690354964188404e-05, + "loss": 0.4345, + "step": 18348 + }, + { + "epoch": 0.64, + "learning_rate": 5.6893622477838716e-05, + "loss": 0.5634, + "step": 18349 + }, + { + "epoch": 0.64, + "learning_rate": 5.688369583552424e-05, + "loss": 0.5874, + "step": 18350 + }, + { + "epoch": 0.64, + "learning_rate": 5.6873769715060734e-05, + "loss": 0.4857, + "step": 18351 + }, + { + "epoch": 0.64, + "learning_rate": 5.686384411656842e-05, + "loss": 0.5818, + "step": 18352 + }, + { + "epoch": 0.64, + "learning_rate": 5.685391904016738e-05, + "loss": 0.4924, + "step": 18353 + }, + { + "epoch": 0.64, + "learning_rate": 5.684399448597775e-05, + "loss": 0.4889, + "step": 18354 + }, + { + "epoch": 0.64, + "learning_rate": 5.6834070454119635e-05, + "loss": 0.4711, + "step": 18355 + }, + { + "epoch": 0.64, + "learning_rate": 5.682414694471316e-05, + "loss": 0.3941, + "step": 18356 + }, + { + "epoch": 0.64, + "learning_rate": 5.681422395787841e-05, + "loss": 0.3636, + "step": 18357 + }, + { + "epoch": 0.64, + "learning_rate": 5.680430149373552e-05, + "loss": 0.4776, + "step": 18358 + }, + { + "epoch": 0.64, + "learning_rate": 5.67943795524046e-05, + "loss": 0.5227, + "step": 18359 + }, + { + "epoch": 0.64, + "learning_rate": 5.6784458134005705e-05, + "loss": 0.5284, + "step": 18360 + }, + { + "epoch": 0.64, + "learning_rate": 5.677453723865891e-05, + "loss": 0.3953, + "step": 18361 + }, + { + "epoch": 0.64, + "learning_rate": 5.6764616866484265e-05, + "loss": 0.4649, + "step": 18362 + }, + { + "epoch": 0.64, + "learning_rate": 5.675469701760192e-05, + "loss": 0.5039, + "step": 18363 + }, + { + "epoch": 0.64, + "learning_rate": 5.6744777692131915e-05, + "loss": 0.4426, + "step": 18364 + }, + { + "epoch": 0.64, + "learning_rate": 5.673485889019427e-05, + "loss": 0.4464, + "step": 18365 + }, + { + "epoch": 0.64, + "learning_rate": 5.672494061190906e-05, + "loss": 0.5064, + "step": 18366 + }, + { + "epoch": 0.64, + "learning_rate": 5.6715022857396296e-05, + "loss": 0.4321, + "step": 18367 + }, + { + "epoch": 0.64, + "learning_rate": 5.670510562677607e-05, + "loss": 0.542, + "step": 18368 + }, + { + "epoch": 0.64, + "learning_rate": 5.669518892016839e-05, + "loss": 0.4331, + "step": 18369 + }, + { + "epoch": 0.64, + "learning_rate": 5.668527273769327e-05, + "loss": 0.3965, + "step": 18370 + }, + { + "epoch": 0.64, + "learning_rate": 5.667535707947075e-05, + "loss": 0.4903, + "step": 18371 + }, + { + "epoch": 0.64, + "learning_rate": 5.666544194562078e-05, + "loss": 0.5137, + "step": 18372 + }, + { + "epoch": 0.64, + "learning_rate": 5.665552733626347e-05, + "loss": 0.4733, + "step": 18373 + }, + { + "epoch": 0.64, + "learning_rate": 5.664561325151875e-05, + "loss": 0.536, + "step": 18374 + }, + { + "epoch": 0.64, + "learning_rate": 5.663569969150664e-05, + "loss": 0.502, + "step": 18375 + }, + { + "epoch": 0.64, + "learning_rate": 5.66257866563471e-05, + "loss": 0.5347, + "step": 18376 + }, + { + "epoch": 0.64, + "learning_rate": 5.6615874146160106e-05, + "loss": 0.4944, + "step": 18377 + }, + { + "epoch": 0.64, + "learning_rate": 5.660596216106568e-05, + "loss": 0.511, + "step": 18378 + }, + { + "epoch": 0.64, + "learning_rate": 5.659605070118379e-05, + "loss": 0.5121, + "step": 18379 + }, + { + "epoch": 0.64, + "learning_rate": 5.658613976663434e-05, + "loss": 0.4509, + "step": 18380 + }, + { + "epoch": 0.64, + "learning_rate": 5.657622935753734e-05, + "loss": 0.4331, + "step": 18381 + }, + { + "epoch": 0.64, + "learning_rate": 5.656631947401266e-05, + "loss": 0.524, + "step": 18382 + }, + { + "epoch": 0.64, + "learning_rate": 5.655641011618035e-05, + "loss": 0.4973, + "step": 18383 + }, + { + "epoch": 0.64, + "learning_rate": 5.654650128416028e-05, + "loss": 0.4544, + "step": 18384 + }, + { + "epoch": 0.64, + "learning_rate": 5.653659297807241e-05, + "loss": 0.483, + "step": 18385 + }, + { + "epoch": 0.64, + "learning_rate": 5.6526685198036636e-05, + "loss": 0.4979, + "step": 18386 + }, + { + "epoch": 0.64, + "learning_rate": 5.651677794417285e-05, + "loss": 0.4445, + "step": 18387 + }, + { + "epoch": 0.64, + "learning_rate": 5.650687121660104e-05, + "loss": 0.4959, + "step": 18388 + }, + { + "epoch": 0.64, + "learning_rate": 5.649696501544108e-05, + "loss": 0.4377, + "step": 18389 + }, + { + "epoch": 0.64, + "learning_rate": 5.6487059340812845e-05, + "loss": 0.4745, + "step": 18390 + }, + { + "epoch": 0.64, + "learning_rate": 5.6477154192836255e-05, + "loss": 0.4635, + "step": 18391 + }, + { + "epoch": 0.64, + "learning_rate": 5.646724957163116e-05, + "loss": 0.5272, + "step": 18392 + }, + { + "epoch": 0.64, + "learning_rate": 5.6457345477317434e-05, + "loss": 0.5071, + "step": 18393 + }, + { + "epoch": 0.64, + "learning_rate": 5.644744191001501e-05, + "loss": 0.5249, + "step": 18394 + }, + { + "epoch": 0.64, + "learning_rate": 5.6437538869843735e-05, + "loss": 0.4612, + "step": 18395 + }, + { + "epoch": 0.64, + "learning_rate": 5.642763635692343e-05, + "loss": 0.458, + "step": 18396 + }, + { + "epoch": 0.64, + "learning_rate": 5.6417734371373986e-05, + "loss": 0.4948, + "step": 18397 + }, + { + "epoch": 0.64, + "learning_rate": 5.640783291331519e-05, + "loss": 0.4674, + "step": 18398 + }, + { + "epoch": 0.64, + "learning_rate": 5.639793198286696e-05, + "loss": 0.426, + "step": 18399 + }, + { + "epoch": 0.64, + "learning_rate": 5.6388031580149116e-05, + "loss": 0.5436, + "step": 18400 + }, + { + "epoch": 0.64, + "eval_loss": 0.4682307839393616, + "eval_runtime": 845.2935, + "eval_samples_per_second": 28.463, + "eval_steps_per_second": 14.232, + "step": 18400 + }, + { + "epoch": 0.64, + "learning_rate": 5.6378131705281455e-05, + "loss": 0.4314, + "step": 18401 + }, + { + "epoch": 0.64, + "learning_rate": 5.636823235838382e-05, + "loss": 0.3964, + "step": 18402 + }, + { + "epoch": 0.64, + "learning_rate": 5.635833353957597e-05, + "loss": 0.6029, + "step": 18403 + }, + { + "epoch": 0.64, + "learning_rate": 5.6348435248977806e-05, + "loss": 0.4779, + "step": 18404 + }, + { + "epoch": 0.64, + "learning_rate": 5.633853748670907e-05, + "loss": 0.4449, + "step": 18405 + }, + { + "epoch": 0.64, + "learning_rate": 5.63286402528896e-05, + "loss": 0.4979, + "step": 18406 + }, + { + "epoch": 0.64, + "learning_rate": 5.6318743547639155e-05, + "loss": 0.5535, + "step": 18407 + }, + { + "epoch": 0.64, + "learning_rate": 5.630884737107751e-05, + "loss": 0.4571, + "step": 18408 + }, + { + "epoch": 0.64, + "learning_rate": 5.629895172332445e-05, + "loss": 0.4641, + "step": 18409 + }, + { + "epoch": 0.64, + "learning_rate": 5.628905660449977e-05, + "loss": 0.5349, + "step": 18410 + }, + { + "epoch": 0.64, + "learning_rate": 5.62791620147232e-05, + "loss": 0.4453, + "step": 18411 + }, + { + "epoch": 0.64, + "learning_rate": 5.626926795411447e-05, + "loss": 0.4653, + "step": 18412 + }, + { + "epoch": 0.64, + "learning_rate": 5.625937442279341e-05, + "loss": 0.3922, + "step": 18413 + }, + { + "epoch": 0.64, + "learning_rate": 5.624948142087973e-05, + "loss": 0.4761, + "step": 18414 + }, + { + "epoch": 0.64, + "learning_rate": 5.623958894849317e-05, + "loss": 0.4219, + "step": 18415 + }, + { + "epoch": 0.64, + "learning_rate": 5.622969700575345e-05, + "loss": 0.5343, + "step": 18416 + }, + { + "epoch": 0.64, + "learning_rate": 5.621980559278026e-05, + "loss": 0.499, + "step": 18417 + }, + { + "epoch": 0.64, + "learning_rate": 5.620991470969341e-05, + "loss": 0.3953, + "step": 18418 + }, + { + "epoch": 0.64, + "learning_rate": 5.6200024356612556e-05, + "loss": 0.5649, + "step": 18419 + }, + { + "epoch": 0.64, + "learning_rate": 5.6190134533657424e-05, + "loss": 0.4935, + "step": 18420 + }, + { + "epoch": 0.64, + "learning_rate": 5.6180245240947695e-05, + "loss": 0.5571, + "step": 18421 + }, + { + "epoch": 0.64, + "learning_rate": 5.6170356478603024e-05, + "loss": 0.4186, + "step": 18422 + }, + { + "epoch": 0.64, + "learning_rate": 5.616046824674319e-05, + "loss": 0.5311, + "step": 18423 + }, + { + "epoch": 0.64, + "learning_rate": 5.615058054548783e-05, + "loss": 0.5292, + "step": 18424 + }, + { + "epoch": 0.64, + "learning_rate": 5.614069337495662e-05, + "loss": 0.4971, + "step": 18425 + }, + { + "epoch": 0.64, + "learning_rate": 5.6130806735269204e-05, + "loss": 0.5265, + "step": 18426 + }, + { + "epoch": 0.64, + "learning_rate": 5.612092062654528e-05, + "loss": 0.4289, + "step": 18427 + }, + { + "epoch": 0.64, + "learning_rate": 5.611103504890444e-05, + "loss": 0.4626, + "step": 18428 + }, + { + "epoch": 0.64, + "learning_rate": 5.6101150002466405e-05, + "loss": 0.5274, + "step": 18429 + }, + { + "epoch": 0.64, + "learning_rate": 5.609126548735081e-05, + "loss": 0.4982, + "step": 18430 + }, + { + "epoch": 0.64, + "learning_rate": 5.6081381503677255e-05, + "loss": 0.405, + "step": 18431 + }, + { + "epoch": 0.65, + "learning_rate": 5.6071498051565395e-05, + "loss": 0.4237, + "step": 18432 + }, + { + "epoch": 0.65, + "learning_rate": 5.6061615131134795e-05, + "loss": 0.422, + "step": 18433 + }, + { + "epoch": 0.65, + "learning_rate": 5.6051732742505156e-05, + "loss": 0.5191, + "step": 18434 + }, + { + "epoch": 0.65, + "learning_rate": 5.6041850885796054e-05, + "loss": 0.4727, + "step": 18435 + }, + { + "epoch": 0.65, + "learning_rate": 5.603196956112708e-05, + "loss": 0.502, + "step": 18436 + }, + { + "epoch": 0.65, + "learning_rate": 5.6022088768617856e-05, + "loss": 0.4259, + "step": 18437 + }, + { + "epoch": 0.65, + "learning_rate": 5.601220850838791e-05, + "loss": 0.4898, + "step": 18438 + }, + { + "epoch": 0.65, + "learning_rate": 5.6002328780556915e-05, + "loss": 0.4779, + "step": 18439 + }, + { + "epoch": 0.65, + "learning_rate": 5.59924495852444e-05, + "loss": 0.4276, + "step": 18440 + }, + { + "epoch": 0.65, + "learning_rate": 5.598257092256994e-05, + "loss": 0.5349, + "step": 18441 + }, + { + "epoch": 0.65, + "learning_rate": 5.5972692792653105e-05, + "loss": 0.489, + "step": 18442 + }, + { + "epoch": 0.65, + "learning_rate": 5.5962815195613416e-05, + "loss": 0.4781, + "step": 18443 + }, + { + "epoch": 0.65, + "learning_rate": 5.595293813157049e-05, + "loss": 0.6039, + "step": 18444 + }, + { + "epoch": 0.65, + "learning_rate": 5.594306160064384e-05, + "loss": 0.4716, + "step": 18445 + }, + { + "epoch": 0.65, + "learning_rate": 5.593318560295302e-05, + "loss": 0.5007, + "step": 18446 + }, + { + "epoch": 0.65, + "learning_rate": 5.592331013861753e-05, + "loss": 0.4799, + "step": 18447 + }, + { + "epoch": 0.65, + "learning_rate": 5.5913435207756895e-05, + "loss": 0.5464, + "step": 18448 + }, + { + "epoch": 0.65, + "learning_rate": 5.5903560810490674e-05, + "loss": 0.415, + "step": 18449 + }, + { + "epoch": 0.65, + "learning_rate": 5.5893686946938374e-05, + "loss": 0.4311, + "step": 18450 + }, + { + "epoch": 0.65, + "learning_rate": 5.588381361721948e-05, + "loss": 0.5248, + "step": 18451 + }, + { + "epoch": 0.65, + "learning_rate": 5.58739408214535e-05, + "loss": 0.4909, + "step": 18452 + }, + { + "epoch": 0.65, + "learning_rate": 5.58640685597599e-05, + "loss": 0.5233, + "step": 18453 + }, + { + "epoch": 0.65, + "learning_rate": 5.585419683225822e-05, + "loss": 0.4519, + "step": 18454 + }, + { + "epoch": 0.65, + "learning_rate": 5.584432563906792e-05, + "loss": 0.436, + "step": 18455 + }, + { + "epoch": 0.65, + "learning_rate": 5.583445498030848e-05, + "loss": 0.4537, + "step": 18456 + }, + { + "epoch": 0.65, + "learning_rate": 5.582458485609936e-05, + "loss": 0.4954, + "step": 18457 + }, + { + "epoch": 0.65, + "learning_rate": 5.581471526656e-05, + "loss": 0.4809, + "step": 18458 + }, + { + "epoch": 0.65, + "learning_rate": 5.5804846211809856e-05, + "loss": 0.511, + "step": 18459 + }, + { + "epoch": 0.65, + "learning_rate": 5.579497769196842e-05, + "loss": 0.4933, + "step": 18460 + }, + { + "epoch": 0.65, + "learning_rate": 5.578510970715511e-05, + "loss": 0.5361, + "step": 18461 + }, + { + "epoch": 0.65, + "learning_rate": 5.577524225748938e-05, + "loss": 0.4197, + "step": 18462 + }, + { + "epoch": 0.65, + "learning_rate": 5.576537534309062e-05, + "loss": 0.5334, + "step": 18463 + }, + { + "epoch": 0.65, + "learning_rate": 5.575550896407824e-05, + "loss": 0.4641, + "step": 18464 + }, + { + "epoch": 0.65, + "learning_rate": 5.574564312057172e-05, + "loss": 0.4254, + "step": 18465 + }, + { + "epoch": 0.65, + "learning_rate": 5.573577781269045e-05, + "loss": 0.4853, + "step": 18466 + }, + { + "epoch": 0.65, + "learning_rate": 5.572591304055381e-05, + "loss": 0.4828, + "step": 18467 + }, + { + "epoch": 0.65, + "learning_rate": 5.571604880428122e-05, + "loss": 0.4844, + "step": 18468 + }, + { + "epoch": 0.65, + "learning_rate": 5.5706185103992015e-05, + "loss": 0.5087, + "step": 18469 + }, + { + "epoch": 0.65, + "learning_rate": 5.569632193980565e-05, + "loss": 0.517, + "step": 18470 + }, + { + "epoch": 0.65, + "learning_rate": 5.5686459311841486e-05, + "loss": 0.4962, + "step": 18471 + }, + { + "epoch": 0.65, + "learning_rate": 5.5676597220218876e-05, + "loss": 0.4906, + "step": 18472 + }, + { + "epoch": 0.65, + "learning_rate": 5.566673566505718e-05, + "loss": 0.4848, + "step": 18473 + }, + { + "epoch": 0.65, + "learning_rate": 5.565687464647573e-05, + "loss": 0.5076, + "step": 18474 + }, + { + "epoch": 0.65, + "learning_rate": 5.564701416459397e-05, + "loss": 0.5031, + "step": 18475 + }, + { + "epoch": 0.65, + "learning_rate": 5.563715421953117e-05, + "loss": 0.4873, + "step": 18476 + }, + { + "epoch": 0.65, + "learning_rate": 5.562729481140669e-05, + "loss": 0.611, + "step": 18477 + }, + { + "epoch": 0.65, + "learning_rate": 5.561743594033986e-05, + "loss": 0.5318, + "step": 18478 + }, + { + "epoch": 0.65, + "learning_rate": 5.560757760644996e-05, + "loss": 0.4689, + "step": 18479 + }, + { + "epoch": 0.65, + "learning_rate": 5.559771980985638e-05, + "loss": 0.4858, + "step": 18480 + }, + { + "epoch": 0.65, + "learning_rate": 5.558786255067841e-05, + "loss": 0.5506, + "step": 18481 + }, + { + "epoch": 0.65, + "learning_rate": 5.557800582903536e-05, + "loss": 0.422, + "step": 18482 + }, + { + "epoch": 0.65, + "learning_rate": 5.556814964504651e-05, + "loss": 0.4164, + "step": 18483 + }, + { + "epoch": 0.65, + "learning_rate": 5.5558293998831125e-05, + "loss": 0.4646, + "step": 18484 + }, + { + "epoch": 0.65, + "learning_rate": 5.5548438890508555e-05, + "loss": 0.4887, + "step": 18485 + }, + { + "epoch": 0.65, + "learning_rate": 5.553858432019805e-05, + "loss": 0.4259, + "step": 18486 + }, + { + "epoch": 0.65, + "learning_rate": 5.55287302880189e-05, + "loss": 0.4801, + "step": 18487 + }, + { + "epoch": 0.65, + "learning_rate": 5.551887679409035e-05, + "loss": 0.4859, + "step": 18488 + }, + { + "epoch": 0.65, + "learning_rate": 5.5509023838531626e-05, + "loss": 0.442, + "step": 18489 + }, + { + "epoch": 0.65, + "learning_rate": 5.549917142146206e-05, + "loss": 0.4219, + "step": 18490 + }, + { + "epoch": 0.65, + "learning_rate": 5.548931954300086e-05, + "loss": 0.4538, + "step": 18491 + }, + { + "epoch": 0.65, + "learning_rate": 5.547946820326727e-05, + "loss": 0.5426, + "step": 18492 + }, + { + "epoch": 0.65, + "learning_rate": 5.546961740238052e-05, + "loss": 0.5345, + "step": 18493 + }, + { + "epoch": 0.65, + "learning_rate": 5.545976714045984e-05, + "loss": 0.5596, + "step": 18494 + }, + { + "epoch": 0.65, + "learning_rate": 5.5449917417624417e-05, + "loss": 0.4403, + "step": 18495 + }, + { + "epoch": 0.65, + "learning_rate": 5.544006823399353e-05, + "loss": 0.4851, + "step": 18496 + }, + { + "epoch": 0.65, + "learning_rate": 5.543021958968636e-05, + "loss": 0.4831, + "step": 18497 + }, + { + "epoch": 0.65, + "learning_rate": 5.5420371484822106e-05, + "loss": 0.5788, + "step": 18498 + }, + { + "epoch": 0.65, + "learning_rate": 5.541052391951995e-05, + "loss": 0.491, + "step": 18499 + }, + { + "epoch": 0.65, + "learning_rate": 5.540067689389907e-05, + "loss": 0.4726, + "step": 18500 + }, + { + "epoch": 0.65, + "learning_rate": 5.5390830408078695e-05, + "loss": 0.5197, + "step": 18501 + }, + { + "epoch": 0.65, + "learning_rate": 5.538098446217798e-05, + "loss": 0.5123, + "step": 18502 + }, + { + "epoch": 0.65, + "learning_rate": 5.537113905631608e-05, + "loss": 0.4803, + "step": 18503 + }, + { + "epoch": 0.65, + "learning_rate": 5.536129419061218e-05, + "loss": 0.5711, + "step": 18504 + }, + { + "epoch": 0.65, + "learning_rate": 5.5351449865185365e-05, + "loss": 0.4408, + "step": 18505 + }, + { + "epoch": 0.65, + "learning_rate": 5.5341606080154886e-05, + "loss": 0.3819, + "step": 18506 + }, + { + "epoch": 0.65, + "learning_rate": 5.533176283563985e-05, + "loss": 0.4804, + "step": 18507 + }, + { + "epoch": 0.65, + "learning_rate": 5.5321920131759374e-05, + "loss": 0.5224, + "step": 18508 + }, + { + "epoch": 0.65, + "learning_rate": 5.53120779686326e-05, + "loss": 0.5958, + "step": 18509 + }, + { + "epoch": 0.65, + "learning_rate": 5.53022363463786e-05, + "loss": 0.453, + "step": 18510 + }, + { + "epoch": 0.65, + "learning_rate": 5.529239526511658e-05, + "loss": 0.4374, + "step": 18511 + }, + { + "epoch": 0.65, + "learning_rate": 5.528255472496562e-05, + "loss": 0.4299, + "step": 18512 + }, + { + "epoch": 0.65, + "learning_rate": 5.52727147260448e-05, + "loss": 0.4622, + "step": 18513 + }, + { + "epoch": 0.65, + "learning_rate": 5.5262875268473226e-05, + "loss": 0.4993, + "step": 18514 + }, + { + "epoch": 0.65, + "learning_rate": 5.525303635236996e-05, + "loss": 0.5304, + "step": 18515 + }, + { + "epoch": 0.65, + "learning_rate": 5.5243197977854155e-05, + "loss": 0.5248, + "step": 18516 + }, + { + "epoch": 0.65, + "learning_rate": 5.5233360145044834e-05, + "loss": 0.4457, + "step": 18517 + }, + { + "epoch": 0.65, + "learning_rate": 5.5223522854061096e-05, + "loss": 0.448, + "step": 18518 + }, + { + "epoch": 0.65, + "learning_rate": 5.521368610502199e-05, + "loss": 0.4369, + "step": 18519 + }, + { + "epoch": 0.65, + "learning_rate": 5.520384989804653e-05, + "loss": 0.4677, + "step": 18520 + }, + { + "epoch": 0.65, + "learning_rate": 5.519401423325385e-05, + "loss": 0.5074, + "step": 18521 + }, + { + "epoch": 0.65, + "learning_rate": 5.518417911076297e-05, + "loss": 0.49, + "step": 18522 + }, + { + "epoch": 0.65, + "learning_rate": 5.51743445306929e-05, + "loss": 0.5261, + "step": 18523 + }, + { + "epoch": 0.65, + "learning_rate": 5.516451049316269e-05, + "loss": 0.5055, + "step": 18524 + }, + { + "epoch": 0.65, + "learning_rate": 5.515467699829138e-05, + "loss": 0.4154, + "step": 18525 + }, + { + "epoch": 0.65, + "learning_rate": 5.5144844046197897e-05, + "loss": 0.4748, + "step": 18526 + }, + { + "epoch": 0.65, + "learning_rate": 5.513501163700138e-05, + "loss": 0.4522, + "step": 18527 + }, + { + "epoch": 0.65, + "learning_rate": 5.5125179770820766e-05, + "loss": 0.4393, + "step": 18528 + }, + { + "epoch": 0.65, + "learning_rate": 5.511534844777507e-05, + "loss": 0.4616, + "step": 18529 + }, + { + "epoch": 0.65, + "learning_rate": 5.5105517667983283e-05, + "loss": 0.5254, + "step": 18530 + }, + { + "epoch": 0.65, + "learning_rate": 5.509568743156435e-05, + "loss": 0.5231, + "step": 18531 + }, + { + "epoch": 0.65, + "learning_rate": 5.508585773863732e-05, + "loss": 0.4744, + "step": 18532 + }, + { + "epoch": 0.65, + "learning_rate": 5.507602858932113e-05, + "loss": 0.5009, + "step": 18533 + }, + { + "epoch": 0.65, + "learning_rate": 5.5066199983734736e-05, + "loss": 0.5255, + "step": 18534 + }, + { + "epoch": 0.65, + "learning_rate": 5.5056371921997116e-05, + "loss": 0.4906, + "step": 18535 + }, + { + "epoch": 0.65, + "learning_rate": 5.504654440422717e-05, + "loss": 0.4133, + "step": 18536 + }, + { + "epoch": 0.65, + "learning_rate": 5.503671743054393e-05, + "loss": 0.4449, + "step": 18537 + }, + { + "epoch": 0.65, + "learning_rate": 5.5026891001066295e-05, + "loss": 0.4683, + "step": 18538 + }, + { + "epoch": 0.65, + "learning_rate": 5.501706511591319e-05, + "loss": 0.437, + "step": 18539 + }, + { + "epoch": 0.65, + "learning_rate": 5.500723977520355e-05, + "loss": 0.481, + "step": 18540 + }, + { + "epoch": 0.65, + "learning_rate": 5.499741497905628e-05, + "loss": 0.6202, + "step": 18541 + }, + { + "epoch": 0.65, + "learning_rate": 5.498759072759031e-05, + "loss": 0.5221, + "step": 18542 + }, + { + "epoch": 0.65, + "learning_rate": 5.497776702092454e-05, + "loss": 0.5303, + "step": 18543 + }, + { + "epoch": 0.65, + "learning_rate": 5.496794385917786e-05, + "loss": 0.4279, + "step": 18544 + }, + { + "epoch": 0.65, + "learning_rate": 5.495812124246914e-05, + "loss": 0.4625, + "step": 18545 + }, + { + "epoch": 0.65, + "learning_rate": 5.4948299170917325e-05, + "loss": 0.5237, + "step": 18546 + }, + { + "epoch": 0.65, + "learning_rate": 5.493847764464128e-05, + "loss": 0.4924, + "step": 18547 + }, + { + "epoch": 0.65, + "learning_rate": 5.492865666375987e-05, + "loss": 0.4356, + "step": 18548 + }, + { + "epoch": 0.65, + "learning_rate": 5.491883622839196e-05, + "loss": 0.5709, + "step": 18549 + }, + { + "epoch": 0.65, + "learning_rate": 5.490901633865635e-05, + "loss": 0.4498, + "step": 18550 + }, + { + "epoch": 0.65, + "learning_rate": 5.4899196994671996e-05, + "loss": 0.4322, + "step": 18551 + }, + { + "epoch": 0.65, + "learning_rate": 5.4889378196557705e-05, + "loss": 0.458, + "step": 18552 + }, + { + "epoch": 0.65, + "learning_rate": 5.4879559944432314e-05, + "loss": 0.4764, + "step": 18553 + }, + { + "epoch": 0.65, + "learning_rate": 5.4869742238414644e-05, + "loss": 0.5118, + "step": 18554 + }, + { + "epoch": 0.65, + "learning_rate": 5.48599250786235e-05, + "loss": 0.4313, + "step": 18555 + }, + { + "epoch": 0.65, + "learning_rate": 5.4850108465177776e-05, + "loss": 0.5156, + "step": 18556 + }, + { + "epoch": 0.65, + "learning_rate": 5.4840292398196235e-05, + "loss": 0.572, + "step": 18557 + }, + { + "epoch": 0.65, + "learning_rate": 5.4830476877797696e-05, + "loss": 0.4632, + "step": 18558 + }, + { + "epoch": 0.65, + "learning_rate": 5.482066190410097e-05, + "loss": 0.4888, + "step": 18559 + }, + { + "epoch": 0.65, + "learning_rate": 5.481084747722482e-05, + "loss": 0.4536, + "step": 18560 + }, + { + "epoch": 0.65, + "learning_rate": 5.480103359728803e-05, + "loss": 0.5221, + "step": 18561 + }, + { + "epoch": 0.65, + "learning_rate": 5.479122026440944e-05, + "loss": 0.4616, + "step": 18562 + }, + { + "epoch": 0.65, + "learning_rate": 5.478140747870777e-05, + "loss": 0.5092, + "step": 18563 + }, + { + "epoch": 0.65, + "learning_rate": 5.477159524030182e-05, + "loss": 0.4674, + "step": 18564 + }, + { + "epoch": 0.65, + "learning_rate": 5.476178354931032e-05, + "loss": 0.4575, + "step": 18565 + }, + { + "epoch": 0.65, + "learning_rate": 5.4751972405852005e-05, + "loss": 0.3895, + "step": 18566 + }, + { + "epoch": 0.65, + "learning_rate": 5.47421618100457e-05, + "loss": 0.474, + "step": 18567 + }, + { + "epoch": 0.65, + "learning_rate": 5.4732351762010095e-05, + "loss": 0.4617, + "step": 18568 + }, + { + "epoch": 0.65, + "learning_rate": 5.472254226186393e-05, + "loss": 0.4014, + "step": 18569 + }, + { + "epoch": 0.65, + "learning_rate": 5.471273330972594e-05, + "loss": 0.5317, + "step": 18570 + }, + { + "epoch": 0.65, + "learning_rate": 5.47029249057148e-05, + "loss": 0.4761, + "step": 18571 + }, + { + "epoch": 0.65, + "learning_rate": 5.4693117049949295e-05, + "loss": 0.4738, + "step": 18572 + }, + { + "epoch": 0.65, + "learning_rate": 5.4683309742548116e-05, + "loss": 0.4822, + "step": 18573 + }, + { + "epoch": 0.65, + "learning_rate": 5.467350298362994e-05, + "loss": 0.3782, + "step": 18574 + }, + { + "epoch": 0.65, + "learning_rate": 5.4663696773313466e-05, + "loss": 0.4379, + "step": 18575 + }, + { + "epoch": 0.65, + "learning_rate": 5.465389111171736e-05, + "loss": 0.4408, + "step": 18576 + }, + { + "epoch": 0.65, + "learning_rate": 5.464408599896036e-05, + "loss": 0.4951, + "step": 18577 + }, + { + "epoch": 0.65, + "learning_rate": 5.463428143516112e-05, + "loss": 0.5566, + "step": 18578 + }, + { + "epoch": 0.65, + "learning_rate": 5.4624477420438304e-05, + "loss": 0.4192, + "step": 18579 + }, + { + "epoch": 0.65, + "learning_rate": 5.461467395491056e-05, + "loss": 0.51, + "step": 18580 + }, + { + "epoch": 0.65, + "learning_rate": 5.46048710386965e-05, + "loss": 0.4472, + "step": 18581 + }, + { + "epoch": 0.65, + "learning_rate": 5.459506867191488e-05, + "loss": 0.4223, + "step": 18582 + }, + { + "epoch": 0.65, + "learning_rate": 5.458526685468428e-05, + "loss": 0.458, + "step": 18583 + }, + { + "epoch": 0.65, + "learning_rate": 5.457546558712333e-05, + "loss": 0.4073, + "step": 18584 + }, + { + "epoch": 0.65, + "learning_rate": 5.456566486935067e-05, + "loss": 0.552, + "step": 18585 + }, + { + "epoch": 0.65, + "learning_rate": 5.455586470148488e-05, + "loss": 0.3834, + "step": 18586 + }, + { + "epoch": 0.65, + "learning_rate": 5.454606508364466e-05, + "loss": 0.5156, + "step": 18587 + }, + { + "epoch": 0.65, + "learning_rate": 5.453626601594857e-05, + "loss": 0.4149, + "step": 18588 + }, + { + "epoch": 0.65, + "learning_rate": 5.45264674985152e-05, + "loss": 0.5041, + "step": 18589 + }, + { + "epoch": 0.65, + "learning_rate": 5.4516669531463174e-05, + "loss": 0.5592, + "step": 18590 + }, + { + "epoch": 0.65, + "learning_rate": 5.450687211491101e-05, + "loss": 0.5049, + "step": 18591 + }, + { + "epoch": 0.65, + "learning_rate": 5.449707524897738e-05, + "loss": 0.4741, + "step": 18592 + }, + { + "epoch": 0.65, + "learning_rate": 5.4487278933780826e-05, + "loss": 0.5278, + "step": 18593 + }, + { + "epoch": 0.65, + "learning_rate": 5.4477483169439924e-05, + "loss": 0.5455, + "step": 18594 + }, + { + "epoch": 0.65, + "learning_rate": 5.44676879560732e-05, + "loss": 0.5205, + "step": 18595 + }, + { + "epoch": 0.65, + "learning_rate": 5.4457893293799246e-05, + "loss": 0.5498, + "step": 18596 + }, + { + "epoch": 0.65, + "learning_rate": 5.4448099182736545e-05, + "loss": 0.4406, + "step": 18597 + }, + { + "epoch": 0.65, + "learning_rate": 5.443830562300374e-05, + "loss": 0.482, + "step": 18598 + }, + { + "epoch": 0.65, + "learning_rate": 5.442851261471931e-05, + "loss": 0.4605, + "step": 18599 + }, + { + "epoch": 0.65, + "learning_rate": 5.441872015800179e-05, + "loss": 0.3881, + "step": 18600 + }, + { + "epoch": 0.65, + "eval_loss": 0.46492907404899597, + "eval_runtime": 843.6337, + "eval_samples_per_second": 28.519, + "eval_steps_per_second": 14.26, + "step": 18600 + }, + { + "epoch": 0.65, + "learning_rate": 5.440892825296971e-05, + "loss": 0.4523, + "step": 18601 + }, + { + "epoch": 0.65, + "learning_rate": 5.439913689974151e-05, + "loss": 0.5602, + "step": 18602 + }, + { + "epoch": 0.65, + "learning_rate": 5.438934609843581e-05, + "loss": 0.4681, + "step": 18603 + }, + { + "epoch": 0.65, + "learning_rate": 5.437955584917107e-05, + "loss": 0.5071, + "step": 18604 + }, + { + "epoch": 0.65, + "learning_rate": 5.436976615206577e-05, + "loss": 0.4466, + "step": 18605 + }, + { + "epoch": 0.65, + "learning_rate": 5.43599770072384e-05, + "loss": 0.5027, + "step": 18606 + }, + { + "epoch": 0.65, + "learning_rate": 5.435018841480744e-05, + "loss": 0.5114, + "step": 18607 + }, + { + "epoch": 0.65, + "learning_rate": 5.4340400374891374e-05, + "loss": 0.4118, + "step": 18608 + }, + { + "epoch": 0.65, + "learning_rate": 5.4330612887608676e-05, + "loss": 0.4409, + "step": 18609 + }, + { + "epoch": 0.65, + "learning_rate": 5.432082595307781e-05, + "loss": 0.4979, + "step": 18610 + }, + { + "epoch": 0.65, + "learning_rate": 5.431103957141721e-05, + "loss": 0.4824, + "step": 18611 + }, + { + "epoch": 0.65, + "learning_rate": 5.430125374274531e-05, + "loss": 0.5986, + "step": 18612 + }, + { + "epoch": 0.65, + "learning_rate": 5.429146846718058e-05, + "loss": 0.3514, + "step": 18613 + }, + { + "epoch": 0.65, + "learning_rate": 5.4281683744841484e-05, + "loss": 0.4728, + "step": 18614 + }, + { + "epoch": 0.65, + "learning_rate": 5.42718995758464e-05, + "loss": 0.5327, + "step": 18615 + }, + { + "epoch": 0.65, + "learning_rate": 5.4262115960313756e-05, + "loss": 0.4827, + "step": 18616 + }, + { + "epoch": 0.65, + "learning_rate": 5.4252332898361934e-05, + "loss": 0.5135, + "step": 18617 + }, + { + "epoch": 0.65, + "learning_rate": 5.424255039010944e-05, + "loss": 0.4353, + "step": 18618 + }, + { + "epoch": 0.65, + "learning_rate": 5.4232768435674594e-05, + "loss": 0.4302, + "step": 18619 + }, + { + "epoch": 0.65, + "learning_rate": 5.422298703517583e-05, + "loss": 0.4919, + "step": 18620 + }, + { + "epoch": 0.65, + "learning_rate": 5.421320618873151e-05, + "loss": 0.4866, + "step": 18621 + }, + { + "epoch": 0.65, + "learning_rate": 5.420342589645998e-05, + "loss": 0.5141, + "step": 18622 + }, + { + "epoch": 0.65, + "learning_rate": 5.41936461584797e-05, + "loss": 0.4958, + "step": 18623 + }, + { + "epoch": 0.65, + "learning_rate": 5.4183866974909005e-05, + "loss": 0.439, + "step": 18624 + }, + { + "epoch": 0.65, + "learning_rate": 5.417408834586623e-05, + "loss": 0.4594, + "step": 18625 + }, + { + "epoch": 0.65, + "learning_rate": 5.4164310271469756e-05, + "loss": 0.448, + "step": 18626 + }, + { + "epoch": 0.65, + "learning_rate": 5.415453275183791e-05, + "loss": 0.394, + "step": 18627 + }, + { + "epoch": 0.65, + "learning_rate": 5.414475578708901e-05, + "loss": 0.4225, + "step": 18628 + }, + { + "epoch": 0.65, + "learning_rate": 5.4134979377341454e-05, + "loss": 0.4702, + "step": 18629 + }, + { + "epoch": 0.65, + "learning_rate": 5.412520352271353e-05, + "loss": 0.4778, + "step": 18630 + }, + { + "epoch": 0.65, + "learning_rate": 5.411542822332358e-05, + "loss": 0.4646, + "step": 18631 + }, + { + "epoch": 0.65, + "learning_rate": 5.41056534792899e-05, + "loss": 0.4271, + "step": 18632 + }, + { + "epoch": 0.65, + "learning_rate": 5.4095879290730745e-05, + "loss": 0.4322, + "step": 18633 + }, + { + "epoch": 0.65, + "learning_rate": 5.408610565776453e-05, + "loss": 0.5169, + "step": 18634 + }, + { + "epoch": 0.65, + "learning_rate": 5.407633258050948e-05, + "loss": 0.5374, + "step": 18635 + }, + { + "epoch": 0.65, + "learning_rate": 5.406656005908388e-05, + "loss": 0.5015, + "step": 18636 + }, + { + "epoch": 0.65, + "learning_rate": 5.405678809360604e-05, + "loss": 0.5482, + "step": 18637 + }, + { + "epoch": 0.65, + "learning_rate": 5.404701668419415e-05, + "loss": 0.5647, + "step": 18638 + }, + { + "epoch": 0.65, + "learning_rate": 5.403724583096659e-05, + "loss": 0.4294, + "step": 18639 + }, + { + "epoch": 0.65, + "learning_rate": 5.402747553404157e-05, + "loss": 0.4827, + "step": 18640 + }, + { + "epoch": 0.65, + "learning_rate": 5.401770579353735e-05, + "loss": 0.5102, + "step": 18641 + }, + { + "epoch": 0.65, + "learning_rate": 5.400793660957216e-05, + "loss": 0.4962, + "step": 18642 + }, + { + "epoch": 0.65, + "learning_rate": 5.399816798226423e-05, + "loss": 0.5336, + "step": 18643 + }, + { + "epoch": 0.65, + "learning_rate": 5.398839991173182e-05, + "loss": 0.4888, + "step": 18644 + }, + { + "epoch": 0.65, + "learning_rate": 5.3978632398093165e-05, + "loss": 0.5008, + "step": 18645 + }, + { + "epoch": 0.65, + "learning_rate": 5.3968865441466466e-05, + "loss": 0.4691, + "step": 18646 + }, + { + "epoch": 0.65, + "learning_rate": 5.395909904196994e-05, + "loss": 0.5045, + "step": 18647 + }, + { + "epoch": 0.65, + "learning_rate": 5.3949333199721755e-05, + "loss": 0.5364, + "step": 18648 + }, + { + "epoch": 0.65, + "learning_rate": 5.393956791484018e-05, + "loss": 0.4316, + "step": 18649 + }, + { + "epoch": 0.65, + "learning_rate": 5.392980318744337e-05, + "loss": 0.4492, + "step": 18650 + }, + { + "epoch": 0.65, + "learning_rate": 5.392003901764953e-05, + "loss": 0.4104, + "step": 18651 + }, + { + "epoch": 0.65, + "learning_rate": 5.3910275405576807e-05, + "loss": 0.5254, + "step": 18652 + }, + { + "epoch": 0.65, + "learning_rate": 5.390051235134335e-05, + "loss": 0.5293, + "step": 18653 + }, + { + "epoch": 0.65, + "learning_rate": 5.38907498550674e-05, + "loss": 0.505, + "step": 18654 + }, + { + "epoch": 0.65, + "learning_rate": 5.3880987916867086e-05, + "loss": 0.4904, + "step": 18655 + }, + { + "epoch": 0.65, + "learning_rate": 5.3871226536860566e-05, + "loss": 0.4806, + "step": 18656 + }, + { + "epoch": 0.65, + "learning_rate": 5.386146571516595e-05, + "loss": 0.5178, + "step": 18657 + }, + { + "epoch": 0.65, + "learning_rate": 5.3851705451901413e-05, + "loss": 0.4296, + "step": 18658 + }, + { + "epoch": 0.65, + "learning_rate": 5.384194574718504e-05, + "loss": 0.5258, + "step": 18659 + }, + { + "epoch": 0.65, + "learning_rate": 5.383218660113502e-05, + "loss": 0.3909, + "step": 18660 + }, + { + "epoch": 0.65, + "learning_rate": 5.382242801386943e-05, + "loss": 0.4793, + "step": 18661 + }, + { + "epoch": 0.65, + "learning_rate": 5.3812669985506404e-05, + "loss": 0.3983, + "step": 18662 + }, + { + "epoch": 0.65, + "learning_rate": 5.380291251616403e-05, + "loss": 0.4148, + "step": 18663 + }, + { + "epoch": 0.65, + "learning_rate": 5.379315560596038e-05, + "loss": 0.4677, + "step": 18664 + }, + { + "epoch": 0.65, + "learning_rate": 5.37833992550136e-05, + "loss": 0.4097, + "step": 18665 + }, + { + "epoch": 0.65, + "learning_rate": 5.377364346344176e-05, + "loss": 0.4222, + "step": 18666 + }, + { + "epoch": 0.65, + "learning_rate": 5.3763888231362925e-05, + "loss": 0.4961, + "step": 18667 + }, + { + "epoch": 0.65, + "learning_rate": 5.375413355889516e-05, + "loss": 0.4338, + "step": 18668 + }, + { + "epoch": 0.65, + "learning_rate": 5.3744379446156515e-05, + "loss": 0.402, + "step": 18669 + }, + { + "epoch": 0.65, + "learning_rate": 5.37346258932651e-05, + "loss": 0.4567, + "step": 18670 + }, + { + "epoch": 0.65, + "learning_rate": 5.372487290033893e-05, + "loss": 0.4848, + "step": 18671 + }, + { + "epoch": 0.65, + "learning_rate": 5.371512046749606e-05, + "loss": 0.4708, + "step": 18672 + }, + { + "epoch": 0.65, + "learning_rate": 5.370536859485451e-05, + "loss": 0.453, + "step": 18673 + }, + { + "epoch": 0.65, + "learning_rate": 5.369561728253229e-05, + "loss": 0.3958, + "step": 18674 + }, + { + "epoch": 0.65, + "learning_rate": 5.36858665306475e-05, + "loss": 0.3993, + "step": 18675 + }, + { + "epoch": 0.65, + "learning_rate": 5.367611633931815e-05, + "loss": 0.4877, + "step": 18676 + }, + { + "epoch": 0.65, + "learning_rate": 5.3666366708662165e-05, + "loss": 0.426, + "step": 18677 + }, + { + "epoch": 0.65, + "learning_rate": 5.3656617638797545e-05, + "loss": 0.5145, + "step": 18678 + }, + { + "epoch": 0.65, + "learning_rate": 5.364686912984238e-05, + "loss": 0.5397, + "step": 18679 + }, + { + "epoch": 0.65, + "learning_rate": 5.363712118191463e-05, + "loss": 0.5139, + "step": 18680 + }, + { + "epoch": 0.65, + "learning_rate": 5.362737379513225e-05, + "loss": 0.3677, + "step": 18681 + }, + { + "epoch": 0.65, + "learning_rate": 5.3617626969613235e-05, + "loss": 0.5167, + "step": 18682 + }, + { + "epoch": 0.65, + "learning_rate": 5.360788070547549e-05, + "loss": 0.4379, + "step": 18683 + }, + { + "epoch": 0.65, + "learning_rate": 5.359813500283708e-05, + "loss": 0.4621, + "step": 18684 + }, + { + "epoch": 0.65, + "learning_rate": 5.358838986181592e-05, + "loss": 0.5616, + "step": 18685 + }, + { + "epoch": 0.65, + "learning_rate": 5.357864528252996e-05, + "loss": 0.4578, + "step": 18686 + }, + { + "epoch": 0.65, + "learning_rate": 5.3568901265097125e-05, + "loss": 0.4358, + "step": 18687 + }, + { + "epoch": 0.65, + "learning_rate": 5.355915780963532e-05, + "loss": 0.4616, + "step": 18688 + }, + { + "epoch": 0.65, + "learning_rate": 5.354941491626256e-05, + "loss": 0.4221, + "step": 18689 + }, + { + "epoch": 0.65, + "learning_rate": 5.353967258509671e-05, + "loss": 0.4484, + "step": 18690 + }, + { + "epoch": 0.65, + "learning_rate": 5.352993081625571e-05, + "loss": 0.4569, + "step": 18691 + }, + { + "epoch": 0.65, + "learning_rate": 5.3520189609857454e-05, + "loss": 0.5649, + "step": 18692 + }, + { + "epoch": 0.65, + "learning_rate": 5.3510448966019785e-05, + "loss": 0.4313, + "step": 18693 + }, + { + "epoch": 0.65, + "learning_rate": 5.3500708884860696e-05, + "loss": 0.5114, + "step": 18694 + }, + { + "epoch": 0.65, + "learning_rate": 5.3490969366498046e-05, + "loss": 0.4223, + "step": 18695 + }, + { + "epoch": 0.65, + "learning_rate": 5.348123041104969e-05, + "loss": 0.4235, + "step": 18696 + }, + { + "epoch": 0.65, + "learning_rate": 5.347149201863353e-05, + "loss": 0.5091, + "step": 18697 + }, + { + "epoch": 0.65, + "learning_rate": 5.34617541893674e-05, + "loss": 0.487, + "step": 18698 + }, + { + "epoch": 0.65, + "learning_rate": 5.345201692336914e-05, + "loss": 0.3961, + "step": 18699 + }, + { + "epoch": 0.65, + "learning_rate": 5.344228022075668e-05, + "loss": 0.4696, + "step": 18700 + }, + { + "epoch": 0.65, + "learning_rate": 5.343254408164784e-05, + "loss": 0.5813, + "step": 18701 + }, + { + "epoch": 0.65, + "learning_rate": 5.3422808506160436e-05, + "loss": 0.5289, + "step": 18702 + }, + { + "epoch": 0.65, + "learning_rate": 5.3413073494412316e-05, + "loss": 0.5708, + "step": 18703 + }, + { + "epoch": 0.65, + "learning_rate": 5.340333904652126e-05, + "loss": 0.4627, + "step": 18704 + }, + { + "epoch": 0.65, + "learning_rate": 5.339360516260516e-05, + "loss": 0.5509, + "step": 18705 + }, + { + "epoch": 0.65, + "learning_rate": 5.338387184278182e-05, + "loss": 0.5105, + "step": 18706 + }, + { + "epoch": 0.65, + "learning_rate": 5.3374139087168995e-05, + "loss": 0.4467, + "step": 18707 + }, + { + "epoch": 0.65, + "learning_rate": 5.336440689588453e-05, + "loss": 0.528, + "step": 18708 + }, + { + "epoch": 0.65, + "learning_rate": 5.335467526904616e-05, + "loss": 0.4614, + "step": 18709 + }, + { + "epoch": 0.65, + "learning_rate": 5.334494420677174e-05, + "loss": 0.4849, + "step": 18710 + }, + { + "epoch": 0.65, + "learning_rate": 5.333521370917902e-05, + "loss": 0.4397, + "step": 18711 + }, + { + "epoch": 0.65, + "learning_rate": 5.3325483776385774e-05, + "loss": 0.4777, + "step": 18712 + }, + { + "epoch": 0.65, + "learning_rate": 5.3315754408509756e-05, + "loss": 0.4498, + "step": 18713 + }, + { + "epoch": 0.65, + "learning_rate": 5.3306025605668696e-05, + "loss": 0.4754, + "step": 18714 + }, + { + "epoch": 0.65, + "learning_rate": 5.3296297367980404e-05, + "loss": 0.4739, + "step": 18715 + }, + { + "epoch": 0.65, + "learning_rate": 5.3286569695562613e-05, + "loss": 0.5209, + "step": 18716 + }, + { + "epoch": 0.65, + "learning_rate": 5.3276842588533047e-05, + "loss": 0.5042, + "step": 18717 + }, + { + "epoch": 0.66, + "learning_rate": 5.326711604700942e-05, + "loss": 0.4583, + "step": 18718 + }, + { + "epoch": 0.66, + "learning_rate": 5.325739007110945e-05, + "loss": 0.4396, + "step": 18719 + }, + { + "epoch": 0.66, + "learning_rate": 5.3247664660950905e-05, + "loss": 0.3532, + "step": 18720 + }, + { + "epoch": 0.66, + "learning_rate": 5.323793981665146e-05, + "loss": 0.4865, + "step": 18721 + }, + { + "epoch": 0.66, + "learning_rate": 5.3228215538328816e-05, + "loss": 0.3998, + "step": 18722 + }, + { + "epoch": 0.66, + "learning_rate": 5.321849182610069e-05, + "loss": 0.6418, + "step": 18723 + }, + { + "epoch": 0.66, + "learning_rate": 5.320876868008471e-05, + "loss": 0.4359, + "step": 18724 + }, + { + "epoch": 0.66, + "learning_rate": 5.3199046100398655e-05, + "loss": 0.5013, + "step": 18725 + }, + { + "epoch": 0.66, + "learning_rate": 5.318932408716013e-05, + "loss": 0.5091, + "step": 18726 + }, + { + "epoch": 0.66, + "learning_rate": 5.317960264048685e-05, + "loss": 0.4945, + "step": 18727 + }, + { + "epoch": 0.66, + "learning_rate": 5.316988176049642e-05, + "loss": 0.4141, + "step": 18728 + }, + { + "epoch": 0.66, + "learning_rate": 5.316016144730655e-05, + "loss": 0.4214, + "step": 18729 + }, + { + "epoch": 0.66, + "learning_rate": 5.315044170103482e-05, + "loss": 0.4452, + "step": 18730 + }, + { + "epoch": 0.66, + "learning_rate": 5.314072252179896e-05, + "loss": 0.4648, + "step": 18731 + }, + { + "epoch": 0.66, + "learning_rate": 5.313100390971655e-05, + "loss": 0.4942, + "step": 18732 + }, + { + "epoch": 0.66, + "learning_rate": 5.3121285864905235e-05, + "loss": 0.3682, + "step": 18733 + }, + { + "epoch": 0.66, + "learning_rate": 5.3111568387482636e-05, + "loss": 0.5021, + "step": 18734 + }, + { + "epoch": 0.66, + "learning_rate": 5.31018514775663e-05, + "loss": 0.4705, + "step": 18735 + }, + { + "epoch": 0.66, + "learning_rate": 5.3092135135273955e-05, + "loss": 0.5024, + "step": 18736 + }, + { + "epoch": 0.66, + "learning_rate": 5.308241936072313e-05, + "loss": 0.4662, + "step": 18737 + }, + { + "epoch": 0.66, + "learning_rate": 5.3072704154031425e-05, + "loss": 0.4794, + "step": 18738 + }, + { + "epoch": 0.66, + "learning_rate": 5.306298951531643e-05, + "loss": 0.4832, + "step": 18739 + }, + { + "epoch": 0.66, + "learning_rate": 5.305327544469569e-05, + "loss": 0.5384, + "step": 18740 + }, + { + "epoch": 0.66, + "learning_rate": 5.304356194228686e-05, + "loss": 0.4722, + "step": 18741 + }, + { + "epoch": 0.66, + "learning_rate": 5.303384900820744e-05, + "loss": 0.4614, + "step": 18742 + }, + { + "epoch": 0.66, + "learning_rate": 5.302413664257501e-05, + "loss": 0.5075, + "step": 18743 + }, + { + "epoch": 0.66, + "learning_rate": 5.301442484550711e-05, + "loss": 0.4785, + "step": 18744 + }, + { + "epoch": 0.66, + "learning_rate": 5.300471361712127e-05, + "loss": 0.4871, + "step": 18745 + }, + { + "epoch": 0.66, + "learning_rate": 5.299500295753509e-05, + "loss": 0.6529, + "step": 18746 + }, + { + "epoch": 0.66, + "learning_rate": 5.298529286686607e-05, + "loss": 0.484, + "step": 18747 + }, + { + "epoch": 0.66, + "learning_rate": 5.2975583345231705e-05, + "loss": 0.4696, + "step": 18748 + }, + { + "epoch": 0.66, + "learning_rate": 5.296587439274955e-05, + "loss": 0.4922, + "step": 18749 + }, + { + "epoch": 0.66, + "learning_rate": 5.2956166009537056e-05, + "loss": 0.5249, + "step": 18750 + }, + { + "epoch": 0.66, + "learning_rate": 5.294645819571181e-05, + "loss": 0.5447, + "step": 18751 + }, + { + "epoch": 0.66, + "learning_rate": 5.2936750951391277e-05, + "loss": 0.4565, + "step": 18752 + }, + { + "epoch": 0.66, + "learning_rate": 5.2927044276692925e-05, + "loss": 0.4207, + "step": 18753 + }, + { + "epoch": 0.66, + "learning_rate": 5.2917338171734276e-05, + "loss": 0.56, + "step": 18754 + }, + { + "epoch": 0.66, + "learning_rate": 5.2907632636632723e-05, + "loss": 0.4553, + "step": 18755 + }, + { + "epoch": 0.66, + "learning_rate": 5.2897927671505855e-05, + "loss": 0.4979, + "step": 18756 + }, + { + "epoch": 0.66, + "learning_rate": 5.288822327647105e-05, + "loss": 0.5267, + "step": 18757 + }, + { + "epoch": 0.66, + "learning_rate": 5.287851945164581e-05, + "loss": 0.5208, + "step": 18758 + }, + { + "epoch": 0.66, + "learning_rate": 5.2868816197147543e-05, + "loss": 0.5182, + "step": 18759 + }, + { + "epoch": 0.66, + "learning_rate": 5.285911351309373e-05, + "loss": 0.4899, + "step": 18760 + }, + { + "epoch": 0.66, + "learning_rate": 5.284941139960173e-05, + "loss": 0.4194, + "step": 18761 + }, + { + "epoch": 0.66, + "learning_rate": 5.283970985678908e-05, + "loss": 0.4238, + "step": 18762 + }, + { + "epoch": 0.66, + "learning_rate": 5.283000888477313e-05, + "loss": 0.4505, + "step": 18763 + }, + { + "epoch": 0.66, + "learning_rate": 5.282030848367132e-05, + "loss": 0.4575, + "step": 18764 + }, + { + "epoch": 0.66, + "learning_rate": 5.281060865360105e-05, + "loss": 0.4985, + "step": 18765 + }, + { + "epoch": 0.66, + "learning_rate": 5.280090939467967e-05, + "loss": 0.4005, + "step": 18766 + }, + { + "epoch": 0.66, + "learning_rate": 5.279121070702466e-05, + "loss": 0.5135, + "step": 18767 + }, + { + "epoch": 0.66, + "learning_rate": 5.278151259075339e-05, + "loss": 0.4923, + "step": 18768 + }, + { + "epoch": 0.66, + "learning_rate": 5.2771815045983206e-05, + "loss": 0.5085, + "step": 18769 + }, + { + "epoch": 0.66, + "learning_rate": 5.276211807283149e-05, + "loss": 0.4391, + "step": 18770 + }, + { + "epoch": 0.66, + "learning_rate": 5.2752421671415564e-05, + "loss": 0.4666, + "step": 18771 + }, + { + "epoch": 0.66, + "learning_rate": 5.2742725841852894e-05, + "loss": 0.5361, + "step": 18772 + }, + { + "epoch": 0.66, + "learning_rate": 5.2733030584260755e-05, + "loss": 0.5085, + "step": 18773 + }, + { + "epoch": 0.66, + "learning_rate": 5.272333589875651e-05, + "loss": 0.4531, + "step": 18774 + }, + { + "epoch": 0.66, + "learning_rate": 5.27136417854575e-05, + "loss": 0.4334, + "step": 18775 + }, + { + "epoch": 0.66, + "learning_rate": 5.2703948244481e-05, + "loss": 0.4662, + "step": 18776 + }, + { + "epoch": 0.66, + "learning_rate": 5.269425527594444e-05, + "loss": 0.45, + "step": 18777 + }, + { + "epoch": 0.66, + "learning_rate": 5.268456287996507e-05, + "loss": 0.4116, + "step": 18778 + }, + { + "epoch": 0.66, + "learning_rate": 5.267487105666022e-05, + "loss": 0.4715, + "step": 18779 + }, + { + "epoch": 0.66, + "learning_rate": 5.266517980614718e-05, + "loss": 0.5913, + "step": 18780 + }, + { + "epoch": 0.66, + "learning_rate": 5.265548912854322e-05, + "loss": 0.4851, + "step": 18781 + }, + { + "epoch": 0.66, + "learning_rate": 5.26457990239657e-05, + "loss": 0.5532, + "step": 18782 + }, + { + "epoch": 0.66, + "learning_rate": 5.263610949253186e-05, + "loss": 0.4083, + "step": 18783 + }, + { + "epoch": 0.66, + "learning_rate": 5.262642053435899e-05, + "loss": 0.4783, + "step": 18784 + }, + { + "epoch": 0.66, + "learning_rate": 5.261673214956434e-05, + "loss": 0.4524, + "step": 18785 + }, + { + "epoch": 0.66, + "learning_rate": 5.2607044338265155e-05, + "loss": 0.454, + "step": 18786 + }, + { + "epoch": 0.66, + "learning_rate": 5.259735710057874e-05, + "loss": 0.5379, + "step": 18787 + }, + { + "epoch": 0.66, + "learning_rate": 5.258767043662232e-05, + "loss": 0.5218, + "step": 18788 + }, + { + "epoch": 0.66, + "learning_rate": 5.257798434651313e-05, + "loss": 0.5368, + "step": 18789 + }, + { + "epoch": 0.66, + "learning_rate": 5.2568298830368425e-05, + "loss": 0.3522, + "step": 18790 + }, + { + "epoch": 0.66, + "learning_rate": 5.2558613888305364e-05, + "loss": 0.4842, + "step": 18791 + }, + { + "epoch": 0.66, + "learning_rate": 5.254892952044126e-05, + "loss": 0.4927, + "step": 18792 + }, + { + "epoch": 0.66, + "learning_rate": 5.253924572689328e-05, + "loss": 0.5942, + "step": 18793 + }, + { + "epoch": 0.66, + "learning_rate": 5.252956250777865e-05, + "loss": 0.5034, + "step": 18794 + }, + { + "epoch": 0.66, + "learning_rate": 5.251987986321454e-05, + "loss": 0.4626, + "step": 18795 + }, + { + "epoch": 0.66, + "learning_rate": 5.251019779331816e-05, + "loss": 0.4614, + "step": 18796 + }, + { + "epoch": 0.66, + "learning_rate": 5.250051629820665e-05, + "loss": 0.4215, + "step": 18797 + }, + { + "epoch": 0.66, + "learning_rate": 5.2490835377997273e-05, + "loss": 0.5587, + "step": 18798 + }, + { + "epoch": 0.66, + "learning_rate": 5.248115503280715e-05, + "loss": 0.4932, + "step": 18799 + }, + { + "epoch": 0.66, + "learning_rate": 5.247147526275347e-05, + "loss": 0.6051, + "step": 18800 + }, + { + "epoch": 0.66, + "eval_loss": 0.4622979462146759, + "eval_runtime": 845.2335, + "eval_samples_per_second": 28.466, + "eval_steps_per_second": 14.233, + "step": 18800 + }, + { + "epoch": 0.66, + "learning_rate": 5.246179606795335e-05, + "loss": 0.4468, + "step": 18801 + }, + { + "epoch": 0.66, + "learning_rate": 5.245211744852394e-05, + "loss": 0.5365, + "step": 18802 + }, + { + "epoch": 0.66, + "learning_rate": 5.2442439404582446e-05, + "loss": 0.4236, + "step": 18803 + }, + { + "epoch": 0.66, + "learning_rate": 5.243276193624596e-05, + "loss": 0.4873, + "step": 18804 + }, + { + "epoch": 0.66, + "learning_rate": 5.2423085043631624e-05, + "loss": 0.4901, + "step": 18805 + }, + { + "epoch": 0.66, + "learning_rate": 5.241340872685654e-05, + "loss": 0.4529, + "step": 18806 + }, + { + "epoch": 0.66, + "learning_rate": 5.240373298603781e-05, + "loss": 0.4357, + "step": 18807 + }, + { + "epoch": 0.66, + "learning_rate": 5.239405782129261e-05, + "loss": 0.4186, + "step": 18808 + }, + { + "epoch": 0.66, + "learning_rate": 5.2384383232738e-05, + "loss": 0.4462, + "step": 18809 + }, + { + "epoch": 0.66, + "learning_rate": 5.237470922049108e-05, + "loss": 0.4781, + "step": 18810 + }, + { + "epoch": 0.66, + "learning_rate": 5.2365035784668934e-05, + "loss": 0.494, + "step": 18811 + }, + { + "epoch": 0.66, + "learning_rate": 5.235536292538865e-05, + "loss": 0.5173, + "step": 18812 + }, + { + "epoch": 0.66, + "learning_rate": 5.234569064276729e-05, + "loss": 0.467, + "step": 18813 + }, + { + "epoch": 0.66, + "learning_rate": 5.2336018936921924e-05, + "loss": 0.4417, + "step": 18814 + }, + { + "epoch": 0.66, + "learning_rate": 5.232634780796961e-05, + "loss": 0.4099, + "step": 18815 + }, + { + "epoch": 0.66, + "learning_rate": 5.231667725602738e-05, + "loss": 0.4815, + "step": 18816 + }, + { + "epoch": 0.66, + "learning_rate": 5.230700728121234e-05, + "loss": 0.3954, + "step": 18817 + }, + { + "epoch": 0.66, + "learning_rate": 5.229733788364149e-05, + "loss": 0.568, + "step": 18818 + }, + { + "epoch": 0.66, + "learning_rate": 5.228766906343186e-05, + "loss": 0.4751, + "step": 18819 + }, + { + "epoch": 0.66, + "learning_rate": 5.227800082070049e-05, + "loss": 0.4589, + "step": 18820 + }, + { + "epoch": 0.66, + "learning_rate": 5.226833315556434e-05, + "loss": 0.5139, + "step": 18821 + }, + { + "epoch": 0.66, + "learning_rate": 5.2258666068140516e-05, + "loss": 0.5361, + "step": 18822 + }, + { + "epoch": 0.66, + "learning_rate": 5.2248999558545985e-05, + "loss": 0.5387, + "step": 18823 + }, + { + "epoch": 0.66, + "learning_rate": 5.223933362689773e-05, + "loss": 0.5334, + "step": 18824 + }, + { + "epoch": 0.66, + "learning_rate": 5.222966827331273e-05, + "loss": 0.4614, + "step": 18825 + }, + { + "epoch": 0.66, + "learning_rate": 5.222000349790797e-05, + "loss": 0.5002, + "step": 18826 + }, + { + "epoch": 0.66, + "learning_rate": 5.221033930080046e-05, + "loss": 0.5752, + "step": 18827 + }, + { + "epoch": 0.66, + "learning_rate": 5.220067568210715e-05, + "loss": 0.4637, + "step": 18828 + }, + { + "epoch": 0.66, + "learning_rate": 5.2191012641945e-05, + "loss": 0.52, + "step": 18829 + }, + { + "epoch": 0.66, + "learning_rate": 5.218135018043098e-05, + "loss": 0.4415, + "step": 18830 + }, + { + "epoch": 0.66, + "learning_rate": 5.217168829768202e-05, + "loss": 0.427, + "step": 18831 + }, + { + "epoch": 0.66, + "learning_rate": 5.216202699381501e-05, + "loss": 0.4855, + "step": 18832 + }, + { + "epoch": 0.66, + "learning_rate": 5.2152366268946994e-05, + "loss": 0.5433, + "step": 18833 + }, + { + "epoch": 0.66, + "learning_rate": 5.214270612319484e-05, + "loss": 0.4805, + "step": 18834 + }, + { + "epoch": 0.66, + "learning_rate": 5.213304655667547e-05, + "loss": 0.5405, + "step": 18835 + }, + { + "epoch": 0.66, + "learning_rate": 5.21233875695058e-05, + "loss": 0.547, + "step": 18836 + }, + { + "epoch": 0.66, + "learning_rate": 5.2113729161802695e-05, + "loss": 0.3931, + "step": 18837 + }, + { + "epoch": 0.66, + "learning_rate": 5.2104071333683136e-05, + "loss": 0.4975, + "step": 18838 + }, + { + "epoch": 0.66, + "learning_rate": 5.209441408526397e-05, + "loss": 0.4419, + "step": 18839 + }, + { + "epoch": 0.66, + "learning_rate": 5.2084757416662075e-05, + "loss": 0.4803, + "step": 18840 + }, + { + "epoch": 0.66, + "learning_rate": 5.207510132799436e-05, + "loss": 0.4495, + "step": 18841 + }, + { + "epoch": 0.66, + "learning_rate": 5.2065445819377614e-05, + "loss": 0.4775, + "step": 18842 + }, + { + "epoch": 0.66, + "learning_rate": 5.20557908909288e-05, + "loss": 0.5349, + "step": 18843 + }, + { + "epoch": 0.66, + "learning_rate": 5.2046136542764755e-05, + "loss": 0.5451, + "step": 18844 + }, + { + "epoch": 0.66, + "learning_rate": 5.20364827750023e-05, + "loss": 0.4664, + "step": 18845 + }, + { + "epoch": 0.66, + "learning_rate": 5.2026829587758284e-05, + "loss": 0.4835, + "step": 18846 + }, + { + "epoch": 0.66, + "learning_rate": 5.201717698114951e-05, + "loss": 0.4317, + "step": 18847 + }, + { + "epoch": 0.66, + "learning_rate": 5.2007524955292884e-05, + "loss": 0.468, + "step": 18848 + }, + { + "epoch": 0.66, + "learning_rate": 5.199787351030518e-05, + "loss": 0.5033, + "step": 18849 + }, + { + "epoch": 0.66, + "learning_rate": 5.198822264630322e-05, + "loss": 0.3779, + "step": 18850 + }, + { + "epoch": 0.66, + "learning_rate": 5.197857236340382e-05, + "loss": 0.5043, + "step": 18851 + }, + { + "epoch": 0.66, + "learning_rate": 5.196892266172373e-05, + "loss": 0.4738, + "step": 18852 + }, + { + "epoch": 0.66, + "learning_rate": 5.1959273541379816e-05, + "loss": 0.4945, + "step": 18853 + }, + { + "epoch": 0.66, + "learning_rate": 5.194962500248883e-05, + "loss": 0.4817, + "step": 18854 + }, + { + "epoch": 0.66, + "learning_rate": 5.193997704516756e-05, + "loss": 0.4521, + "step": 18855 + }, + { + "epoch": 0.66, + "learning_rate": 5.193032966953279e-05, + "loss": 0.4284, + "step": 18856 + }, + { + "epoch": 0.66, + "learning_rate": 5.192068287570121e-05, + "loss": 0.4544, + "step": 18857 + }, + { + "epoch": 0.66, + "learning_rate": 5.191103666378968e-05, + "loss": 0.4351, + "step": 18858 + }, + { + "epoch": 0.66, + "learning_rate": 5.1901391033914914e-05, + "loss": 0.4841, + "step": 18859 + }, + { + "epoch": 0.66, + "learning_rate": 5.189174598619364e-05, + "loss": 0.5103, + "step": 18860 + }, + { + "epoch": 0.66, + "learning_rate": 5.188210152074262e-05, + "loss": 0.4754, + "step": 18861 + }, + { + "epoch": 0.66, + "learning_rate": 5.187245763767856e-05, + "loss": 0.4271, + "step": 18862 + }, + { + "epoch": 0.66, + "learning_rate": 5.186281433711816e-05, + "loss": 0.4871, + "step": 18863 + }, + { + "epoch": 0.66, + "learning_rate": 5.185317161917821e-05, + "loss": 0.4489, + "step": 18864 + }, + { + "epoch": 0.66, + "learning_rate": 5.184352948397537e-05, + "loss": 0.5201, + "step": 18865 + }, + { + "epoch": 0.66, + "learning_rate": 5.1833887931626354e-05, + "loss": 0.3883, + "step": 18866 + }, + { + "epoch": 0.66, + "learning_rate": 5.1824246962247856e-05, + "loss": 0.433, + "step": 18867 + }, + { + "epoch": 0.66, + "learning_rate": 5.1814606575956526e-05, + "loss": 0.4701, + "step": 18868 + }, + { + "epoch": 0.66, + "learning_rate": 5.180496677286911e-05, + "loss": 0.4552, + "step": 18869 + }, + { + "epoch": 0.66, + "learning_rate": 5.179532755310226e-05, + "loss": 0.4913, + "step": 18870 + }, + { + "epoch": 0.66, + "learning_rate": 5.178568891677262e-05, + "loss": 0.4916, + "step": 18871 + }, + { + "epoch": 0.66, + "learning_rate": 5.1776050863996886e-05, + "loss": 0.4047, + "step": 18872 + }, + { + "epoch": 0.66, + "learning_rate": 5.1766413394891634e-05, + "loss": 0.417, + "step": 18873 + }, + { + "epoch": 0.66, + "learning_rate": 5.17567765095736e-05, + "loss": 0.3883, + "step": 18874 + }, + { + "epoch": 0.66, + "learning_rate": 5.1747140208159405e-05, + "loss": 0.4925, + "step": 18875 + }, + { + "epoch": 0.66, + "learning_rate": 5.173750449076564e-05, + "loss": 0.4388, + "step": 18876 + }, + { + "epoch": 0.66, + "learning_rate": 5.1727869357508977e-05, + "loss": 0.579, + "step": 18877 + }, + { + "epoch": 0.66, + "learning_rate": 5.171823480850595e-05, + "loss": 0.4546, + "step": 18878 + }, + { + "epoch": 0.66, + "learning_rate": 5.1708600843873265e-05, + "loss": 0.4128, + "step": 18879 + }, + { + "epoch": 0.66, + "learning_rate": 5.169896746372749e-05, + "loss": 0.5013, + "step": 18880 + }, + { + "epoch": 0.66, + "learning_rate": 5.168933466818522e-05, + "loss": 0.4508, + "step": 18881 + }, + { + "epoch": 0.66, + "learning_rate": 5.167970245736304e-05, + "loss": 0.4638, + "step": 18882 + }, + { + "epoch": 0.66, + "learning_rate": 5.167007083137749e-05, + "loss": 0.4355, + "step": 18883 + }, + { + "epoch": 0.66, + "learning_rate": 5.166043979034524e-05, + "loss": 0.4805, + "step": 18884 + }, + { + "epoch": 0.66, + "learning_rate": 5.16508093343828e-05, + "loss": 0.4163, + "step": 18885 + }, + { + "epoch": 0.66, + "learning_rate": 5.164117946360674e-05, + "loss": 0.4848, + "step": 18886 + }, + { + "epoch": 0.66, + "learning_rate": 5.163155017813359e-05, + "loss": 0.4637, + "step": 18887 + }, + { + "epoch": 0.66, + "learning_rate": 5.1621921478079895e-05, + "loss": 0.4999, + "step": 18888 + }, + { + "epoch": 0.66, + "learning_rate": 5.1612293363562256e-05, + "loss": 0.4697, + "step": 18889 + }, + { + "epoch": 0.66, + "learning_rate": 5.160266583469717e-05, + "loss": 0.537, + "step": 18890 + }, + { + "epoch": 0.66, + "learning_rate": 5.159303889160114e-05, + "loss": 0.4455, + "step": 18891 + }, + { + "epoch": 0.66, + "learning_rate": 5.158341253439072e-05, + "loss": 0.4243, + "step": 18892 + }, + { + "epoch": 0.66, + "learning_rate": 5.157378676318235e-05, + "loss": 0.5005, + "step": 18893 + }, + { + "epoch": 0.66, + "learning_rate": 5.156416157809263e-05, + "loss": 0.4875, + "step": 18894 + }, + { + "epoch": 0.66, + "learning_rate": 5.155453697923802e-05, + "loss": 0.4615, + "step": 18895 + }, + { + "epoch": 0.66, + "learning_rate": 5.1544912966734994e-05, + "loss": 0.5232, + "step": 18896 + }, + { + "epoch": 0.66, + "learning_rate": 5.153528954070004e-05, + "loss": 0.5035, + "step": 18897 + }, + { + "epoch": 0.66, + "learning_rate": 5.152566670124965e-05, + "loss": 0.4592, + "step": 18898 + }, + { + "epoch": 0.66, + "learning_rate": 5.151604444850023e-05, + "loss": 0.3937, + "step": 18899 + }, + { + "epoch": 0.66, + "learning_rate": 5.1506422782568345e-05, + "loss": 0.4295, + "step": 18900 + }, + { + "epoch": 0.66, + "learning_rate": 5.149680170357039e-05, + "loss": 0.4325, + "step": 18901 + }, + { + "epoch": 0.66, + "learning_rate": 5.148718121162279e-05, + "loss": 0.5199, + "step": 18902 + }, + { + "epoch": 0.66, + "learning_rate": 5.1477561306842046e-05, + "loss": 0.4955, + "step": 18903 + }, + { + "epoch": 0.66, + "learning_rate": 5.1467941989344506e-05, + "loss": 0.4161, + "step": 18904 + }, + { + "epoch": 0.66, + "learning_rate": 5.145832325924669e-05, + "loss": 0.4421, + "step": 18905 + }, + { + "epoch": 0.66, + "learning_rate": 5.144870511666497e-05, + "loss": 0.5119, + "step": 18906 + }, + { + "epoch": 0.66, + "learning_rate": 5.143908756171576e-05, + "loss": 0.4485, + "step": 18907 + }, + { + "epoch": 0.66, + "learning_rate": 5.142947059451546e-05, + "loss": 0.4399, + "step": 18908 + }, + { + "epoch": 0.66, + "learning_rate": 5.141985421518045e-05, + "loss": 0.4607, + "step": 18909 + }, + { + "epoch": 0.66, + "learning_rate": 5.1410238423827174e-05, + "loss": 0.4691, + "step": 18910 + }, + { + "epoch": 0.66, + "learning_rate": 5.140062322057199e-05, + "loss": 0.4865, + "step": 18911 + }, + { + "epoch": 0.66, + "learning_rate": 5.1391008605531255e-05, + "loss": 0.5444, + "step": 18912 + }, + { + "epoch": 0.66, + "learning_rate": 5.138139457882136e-05, + "loss": 0.3824, + "step": 18913 + }, + { + "epoch": 0.66, + "learning_rate": 5.137178114055863e-05, + "loss": 0.4615, + "step": 18914 + }, + { + "epoch": 0.66, + "learning_rate": 5.136216829085947e-05, + "loss": 0.4986, + "step": 18915 + }, + { + "epoch": 0.66, + "learning_rate": 5.135255602984022e-05, + "loss": 0.5164, + "step": 18916 + }, + { + "epoch": 0.66, + "learning_rate": 5.1342944357617195e-05, + "loss": 0.4796, + "step": 18917 + }, + { + "epoch": 0.66, + "learning_rate": 5.1333333274306737e-05, + "loss": 0.4477, + "step": 18918 + }, + { + "epoch": 0.66, + "learning_rate": 5.132372278002514e-05, + "loss": 0.4696, + "step": 18919 + }, + { + "epoch": 0.66, + "learning_rate": 5.1314112874888795e-05, + "loss": 0.5655, + "step": 18920 + }, + { + "epoch": 0.66, + "learning_rate": 5.130450355901398e-05, + "loss": 0.5107, + "step": 18921 + }, + { + "epoch": 0.66, + "learning_rate": 5.129489483251699e-05, + "loss": 0.4948, + "step": 18922 + }, + { + "epoch": 0.66, + "learning_rate": 5.128528669551413e-05, + "loss": 0.4782, + "step": 18923 + }, + { + "epoch": 0.66, + "learning_rate": 5.127567914812166e-05, + "loss": 0.4517, + "step": 18924 + }, + { + "epoch": 0.66, + "learning_rate": 5.126607219045592e-05, + "loss": 0.5655, + "step": 18925 + }, + { + "epoch": 0.66, + "learning_rate": 5.125646582263317e-05, + "loss": 0.4239, + "step": 18926 + }, + { + "epoch": 0.66, + "learning_rate": 5.1246860044769665e-05, + "loss": 0.4268, + "step": 18927 + }, + { + "epoch": 0.66, + "learning_rate": 5.123725485698165e-05, + "loss": 0.4793, + "step": 18928 + }, + { + "epoch": 0.66, + "learning_rate": 5.1227650259385416e-05, + "loss": 0.4601, + "step": 18929 + }, + { + "epoch": 0.66, + "learning_rate": 5.121804625209716e-05, + "loss": 0.4953, + "step": 18930 + }, + { + "epoch": 0.66, + "learning_rate": 5.1208442835233186e-05, + "loss": 0.506, + "step": 18931 + }, + { + "epoch": 0.66, + "learning_rate": 5.11988400089097e-05, + "loss": 0.4741, + "step": 18932 + }, + { + "epoch": 0.66, + "learning_rate": 5.118923777324293e-05, + "loss": 0.3795, + "step": 18933 + }, + { + "epoch": 0.66, + "learning_rate": 5.1179636128349085e-05, + "loss": 0.5322, + "step": 18934 + }, + { + "epoch": 0.66, + "learning_rate": 5.117003507434435e-05, + "loss": 0.4041, + "step": 18935 + }, + { + "epoch": 0.66, + "learning_rate": 5.1160434611345e-05, + "loss": 0.5073, + "step": 18936 + }, + { + "epoch": 0.66, + "learning_rate": 5.115083473946719e-05, + "loss": 0.4357, + "step": 18937 + }, + { + "epoch": 0.66, + "learning_rate": 5.114123545882712e-05, + "loss": 0.412, + "step": 18938 + }, + { + "epoch": 0.66, + "learning_rate": 5.113163676954097e-05, + "loss": 0.4692, + "step": 18939 + }, + { + "epoch": 0.66, + "learning_rate": 5.112203867172487e-05, + "loss": 0.4699, + "step": 18940 + }, + { + "epoch": 0.66, + "learning_rate": 5.111244116549509e-05, + "loss": 0.4627, + "step": 18941 + }, + { + "epoch": 0.66, + "learning_rate": 5.110284425096772e-05, + "loss": 0.4547, + "step": 18942 + }, + { + "epoch": 0.66, + "learning_rate": 5.109324792825894e-05, + "loss": 0.4116, + "step": 18943 + }, + { + "epoch": 0.66, + "learning_rate": 5.108365219748488e-05, + "loss": 0.386, + "step": 18944 + }, + { + "epoch": 0.66, + "learning_rate": 5.1074057058761645e-05, + "loss": 0.4069, + "step": 18945 + }, + { + "epoch": 0.66, + "learning_rate": 5.1064462512205514e-05, + "loss": 0.5175, + "step": 18946 + }, + { + "epoch": 0.66, + "learning_rate": 5.105486855793245e-05, + "loss": 0.4564, + "step": 18947 + }, + { + "epoch": 0.66, + "learning_rate": 5.104527519605864e-05, + "loss": 0.4472, + "step": 18948 + }, + { + "epoch": 0.66, + "learning_rate": 5.1035682426700146e-05, + "loss": 0.4597, + "step": 18949 + }, + { + "epoch": 0.66, + "learning_rate": 5.102609024997316e-05, + "loss": 0.4319, + "step": 18950 + }, + { + "epoch": 0.66, + "learning_rate": 5.1016498665993725e-05, + "loss": 0.4917, + "step": 18951 + }, + { + "epoch": 0.66, + "learning_rate": 5.1006907674877946e-05, + "loss": 0.4724, + "step": 18952 + }, + { + "epoch": 0.66, + "learning_rate": 5.099731727674191e-05, + "loss": 0.3855, + "step": 18953 + }, + { + "epoch": 0.66, + "learning_rate": 5.098772747170162e-05, + "loss": 0.4675, + "step": 18954 + }, + { + "epoch": 0.66, + "learning_rate": 5.097813825987326e-05, + "loss": 0.3871, + "step": 18955 + }, + { + "epoch": 0.66, + "learning_rate": 5.0968549641372845e-05, + "loss": 0.5283, + "step": 18956 + }, + { + "epoch": 0.66, + "learning_rate": 5.095896161631642e-05, + "loss": 0.462, + "step": 18957 + }, + { + "epoch": 0.66, + "learning_rate": 5.094937418482002e-05, + "loss": 0.4342, + "step": 18958 + }, + { + "epoch": 0.66, + "learning_rate": 5.093978734699968e-05, + "loss": 0.4229, + "step": 18959 + }, + { + "epoch": 0.66, + "learning_rate": 5.093020110297149e-05, + "loss": 0.4047, + "step": 18960 + }, + { + "epoch": 0.66, + "learning_rate": 5.092061545285143e-05, + "loss": 0.5919, + "step": 18961 + }, + { + "epoch": 0.66, + "learning_rate": 5.0911030396755535e-05, + "loss": 0.4259, + "step": 18962 + }, + { + "epoch": 0.66, + "learning_rate": 5.0901445934799794e-05, + "loss": 0.5168, + "step": 18963 + }, + { + "epoch": 0.66, + "learning_rate": 5.089186206710024e-05, + "loss": 0.452, + "step": 18964 + }, + { + "epoch": 0.66, + "learning_rate": 5.088227879377281e-05, + "loss": 0.5386, + "step": 18965 + }, + { + "epoch": 0.66, + "learning_rate": 5.087269611493357e-05, + "loss": 0.4592, + "step": 18966 + }, + { + "epoch": 0.66, + "learning_rate": 5.0863114030698476e-05, + "loss": 0.486, + "step": 18967 + }, + { + "epoch": 0.66, + "learning_rate": 5.08535325411835e-05, + "loss": 0.4323, + "step": 18968 + }, + { + "epoch": 0.66, + "learning_rate": 5.0843951646504615e-05, + "loss": 0.4042, + "step": 18969 + }, + { + "epoch": 0.66, + "learning_rate": 5.083437134677772e-05, + "loss": 0.5239, + "step": 18970 + }, + { + "epoch": 0.66, + "learning_rate": 5.082479164211886e-05, + "loss": 0.5, + "step": 18971 + }, + { + "epoch": 0.66, + "learning_rate": 5.0815212532643964e-05, + "loss": 0.5172, + "step": 18972 + }, + { + "epoch": 0.66, + "learning_rate": 5.080563401846894e-05, + "loss": 0.4821, + "step": 18973 + }, + { + "epoch": 0.66, + "learning_rate": 5.079605609970972e-05, + "loss": 0.4171, + "step": 18974 + }, + { + "epoch": 0.66, + "learning_rate": 5.078647877648222e-05, + "loss": 0.4633, + "step": 18975 + }, + { + "epoch": 0.66, + "learning_rate": 5.077690204890241e-05, + "loss": 0.5115, + "step": 18976 + }, + { + "epoch": 0.66, + "learning_rate": 5.076732591708617e-05, + "loss": 0.531, + "step": 18977 + }, + { + "epoch": 0.66, + "learning_rate": 5.07577503811494e-05, + "loss": 0.4297, + "step": 18978 + }, + { + "epoch": 0.66, + "learning_rate": 5.074817544120799e-05, + "loss": 0.5012, + "step": 18979 + }, + { + "epoch": 0.66, + "learning_rate": 5.07386010973778e-05, + "loss": 0.3969, + "step": 18980 + }, + { + "epoch": 0.66, + "learning_rate": 5.0729027349774784e-05, + "loss": 0.4372, + "step": 18981 + }, + { + "epoch": 0.66, + "learning_rate": 5.0719454198514784e-05, + "loss": 0.5041, + "step": 18982 + }, + { + "epoch": 0.66, + "learning_rate": 5.070988164371366e-05, + "loss": 0.5282, + "step": 18983 + }, + { + "epoch": 0.66, + "learning_rate": 5.070030968548728e-05, + "loss": 0.4143, + "step": 18984 + }, + { + "epoch": 0.66, + "learning_rate": 5.069073832395145e-05, + "loss": 0.476, + "step": 18985 + }, + { + "epoch": 0.66, + "learning_rate": 5.06811675592221e-05, + "loss": 0.4361, + "step": 18986 + }, + { + "epoch": 0.66, + "learning_rate": 5.0671597391415005e-05, + "loss": 0.4338, + "step": 18987 + }, + { + "epoch": 0.66, + "learning_rate": 5.066202782064603e-05, + "loss": 0.5311, + "step": 18988 + }, + { + "epoch": 0.66, + "learning_rate": 5.0652458847030984e-05, + "loss": 0.5773, + "step": 18989 + }, + { + "epoch": 0.66, + "learning_rate": 5.0642890470685647e-05, + "loss": 0.4938, + "step": 18990 + }, + { + "epoch": 0.66, + "learning_rate": 5.0633322691725894e-05, + "loss": 0.5209, + "step": 18991 + }, + { + "epoch": 0.66, + "learning_rate": 5.06237555102675e-05, + "loss": 0.5484, + "step": 18992 + }, + { + "epoch": 0.66, + "learning_rate": 5.061418892642626e-05, + "loss": 0.3951, + "step": 18993 + }, + { + "epoch": 0.66, + "learning_rate": 5.060462294031796e-05, + "loss": 0.4182, + "step": 18994 + }, + { + "epoch": 0.66, + "learning_rate": 5.059505755205833e-05, + "loss": 0.4812, + "step": 18995 + }, + { + "epoch": 0.66, + "learning_rate": 5.0585492761763255e-05, + "loss": 0.456, + "step": 18996 + }, + { + "epoch": 0.66, + "learning_rate": 5.0575928569548425e-05, + "loss": 0.5377, + "step": 18997 + }, + { + "epoch": 0.66, + "learning_rate": 5.05663649755296e-05, + "loss": 0.5401, + "step": 18998 + }, + { + "epoch": 0.66, + "learning_rate": 5.055680197982255e-05, + "loss": 0.4542, + "step": 18999 + }, + { + "epoch": 0.66, + "learning_rate": 5.0547239582543036e-05, + "loss": 0.5628, + "step": 19000 + }, + { + "epoch": 0.66, + "eval_loss": 0.45892348885536194, + "eval_runtime": 847.1291, + "eval_samples_per_second": 28.402, + "eval_steps_per_second": 14.201, + "step": 19000 + }, + { + "epoch": 0.66, + "learning_rate": 5.0537677783806714e-05, + "loss": 0.4843, + "step": 19001 + }, + { + "epoch": 0.66, + "learning_rate": 5.05281165837294e-05, + "loss": 0.4235, + "step": 19002 + }, + { + "epoch": 0.66, + "learning_rate": 5.0518555982426805e-05, + "loss": 0.424, + "step": 19003 + }, + { + "epoch": 0.67, + "learning_rate": 5.050899598001462e-05, + "loss": 0.4903, + "step": 19004 + }, + { + "epoch": 0.67, + "learning_rate": 5.049943657660855e-05, + "loss": 0.5635, + "step": 19005 + }, + { + "epoch": 0.67, + "learning_rate": 5.048987777232428e-05, + "loss": 0.3874, + "step": 19006 + }, + { + "epoch": 0.67, + "learning_rate": 5.048031956727756e-05, + "loss": 0.4459, + "step": 19007 + }, + { + "epoch": 0.67, + "learning_rate": 5.047076196158405e-05, + "loss": 0.5429, + "step": 19008 + }, + { + "epoch": 0.67, + "learning_rate": 5.046120495535942e-05, + "loss": 0.4221, + "step": 19009 + }, + { + "epoch": 0.67, + "learning_rate": 5.0451648548719335e-05, + "loss": 0.5052, + "step": 19010 + }, + { + "epoch": 0.67, + "learning_rate": 5.044209274177945e-05, + "loss": 0.4976, + "step": 19011 + }, + { + "epoch": 0.67, + "learning_rate": 5.043253753465547e-05, + "loss": 0.4084, + "step": 19012 + }, + { + "epoch": 0.67, + "learning_rate": 5.0422982927463014e-05, + "loss": 0.4096, + "step": 19013 + }, + { + "epoch": 0.67, + "learning_rate": 5.041342892031773e-05, + "loss": 0.4702, + "step": 19014 + }, + { + "epoch": 0.67, + "learning_rate": 5.040387551333525e-05, + "loss": 0.5646, + "step": 19015 + }, + { + "epoch": 0.67, + "learning_rate": 5.039432270663116e-05, + "loss": 0.4886, + "step": 19016 + }, + { + "epoch": 0.67, + "learning_rate": 5.0384770500321176e-05, + "loss": 0.3828, + "step": 19017 + }, + { + "epoch": 0.67, + "learning_rate": 5.0375218894520834e-05, + "loss": 0.4792, + "step": 19018 + }, + { + "epoch": 0.67, + "learning_rate": 5.036566788934579e-05, + "loss": 0.4458, + "step": 19019 + }, + { + "epoch": 0.67, + "learning_rate": 5.03561174849116e-05, + "loss": 0.4355, + "step": 19020 + }, + { + "epoch": 0.67, + "learning_rate": 5.0346567681333855e-05, + "loss": 0.5085, + "step": 19021 + }, + { + "epoch": 0.67, + "learning_rate": 5.033701847872818e-05, + "loss": 0.4926, + "step": 19022 + }, + { + "epoch": 0.67, + "learning_rate": 5.032746987721014e-05, + "loss": 0.4713, + "step": 19023 + }, + { + "epoch": 0.67, + "learning_rate": 5.031792187689529e-05, + "loss": 0.4064, + "step": 19024 + }, + { + "epoch": 0.67, + "learning_rate": 5.03083744778992e-05, + "loss": 0.4336, + "step": 19025 + }, + { + "epoch": 0.67, + "learning_rate": 5.029882768033738e-05, + "loss": 0.4144, + "step": 19026 + }, + { + "epoch": 0.67, + "learning_rate": 5.028928148432548e-05, + "loss": 0.52, + "step": 19027 + }, + { + "epoch": 0.67, + "learning_rate": 5.027973588997896e-05, + "loss": 0.5398, + "step": 19028 + }, + { + "epoch": 0.67, + "learning_rate": 5.027019089741338e-05, + "loss": 0.4316, + "step": 19029 + }, + { + "epoch": 0.67, + "learning_rate": 5.026064650674427e-05, + "loss": 0.3928, + "step": 19030 + }, + { + "epoch": 0.67, + "learning_rate": 5.0251102718087126e-05, + "loss": 0.5218, + "step": 19031 + }, + { + "epoch": 0.67, + "learning_rate": 5.024155953155745e-05, + "loss": 0.5461, + "step": 19032 + }, + { + "epoch": 0.67, + "learning_rate": 5.02320169472708e-05, + "loss": 0.3912, + "step": 19033 + }, + { + "epoch": 0.67, + "learning_rate": 5.0222474965342645e-05, + "loss": 0.4682, + "step": 19034 + }, + { + "epoch": 0.67, + "learning_rate": 5.021293358588849e-05, + "loss": 0.3724, + "step": 19035 + }, + { + "epoch": 0.67, + "learning_rate": 5.0203392809023786e-05, + "loss": 0.421, + "step": 19036 + }, + { + "epoch": 0.67, + "learning_rate": 5.0193852634863983e-05, + "loss": 0.4612, + "step": 19037 + }, + { + "epoch": 0.67, + "learning_rate": 5.0184313063524634e-05, + "loss": 0.4381, + "step": 19038 + }, + { + "epoch": 0.67, + "learning_rate": 5.017477409512116e-05, + "loss": 0.5201, + "step": 19039 + }, + { + "epoch": 0.67, + "learning_rate": 5.0165235729769e-05, + "loss": 0.4162, + "step": 19040 + }, + { + "epoch": 0.67, + "learning_rate": 5.0155697967583615e-05, + "loss": 0.4411, + "step": 19041 + }, + { + "epoch": 0.67, + "learning_rate": 5.0146160808680395e-05, + "loss": 0.4005, + "step": 19042 + }, + { + "epoch": 0.67, + "learning_rate": 5.013662425317486e-05, + "loss": 0.4558, + "step": 19043 + }, + { + "epoch": 0.67, + "learning_rate": 5.012708830118238e-05, + "loss": 0.5118, + "step": 19044 + }, + { + "epoch": 0.67, + "learning_rate": 5.011755295281838e-05, + "loss": 0.4411, + "step": 19045 + }, + { + "epoch": 0.67, + "learning_rate": 5.0108018208198284e-05, + "loss": 0.4653, + "step": 19046 + }, + { + "epoch": 0.67, + "learning_rate": 5.009848406743742e-05, + "loss": 0.5456, + "step": 19047 + }, + { + "epoch": 0.67, + "learning_rate": 5.00889505306513e-05, + "loss": 0.4063, + "step": 19048 + }, + { + "epoch": 0.67, + "learning_rate": 5.0079417597955245e-05, + "loss": 0.5882, + "step": 19049 + }, + { + "epoch": 0.67, + "learning_rate": 5.006988526946466e-05, + "loss": 0.5474, + "step": 19050 + }, + { + "epoch": 0.67, + "learning_rate": 5.006035354529488e-05, + "loss": 0.4738, + "step": 19051 + }, + { + "epoch": 0.67, + "learning_rate": 5.005082242556127e-05, + "loss": 0.5221, + "step": 19052 + }, + { + "epoch": 0.67, + "learning_rate": 5.004129191037924e-05, + "loss": 0.4532, + "step": 19053 + }, + { + "epoch": 0.67, + "learning_rate": 5.003176199986412e-05, + "loss": 0.4521, + "step": 19054 + }, + { + "epoch": 0.67, + "learning_rate": 5.0022232694131247e-05, + "loss": 0.4375, + "step": 19055 + }, + { + "epoch": 0.67, + "learning_rate": 5.001270399329595e-05, + "loss": 0.4194, + "step": 19056 + }, + { + "epoch": 0.67, + "learning_rate": 5.000317589747353e-05, + "loss": 0.4505, + "step": 19057 + }, + { + "epoch": 0.67, + "learning_rate": 4.999364840677938e-05, + "loss": 0.4846, + "step": 19058 + }, + { + "epoch": 0.67, + "learning_rate": 4.998412152132879e-05, + "loss": 0.4995, + "step": 19059 + }, + { + "epoch": 0.67, + "learning_rate": 4.9974595241237044e-05, + "loss": 0.4251, + "step": 19060 + }, + { + "epoch": 0.67, + "learning_rate": 4.9965069566619447e-05, + "loss": 0.4089, + "step": 19061 + }, + { + "epoch": 0.67, + "learning_rate": 4.995554449759127e-05, + "loss": 0.5128, + "step": 19062 + }, + { + "epoch": 0.67, + "learning_rate": 4.994602003426786e-05, + "loss": 0.5186, + "step": 19063 + }, + { + "epoch": 0.67, + "learning_rate": 4.993649617676446e-05, + "loss": 0.5045, + "step": 19064 + }, + { + "epoch": 0.67, + "learning_rate": 4.9926972925196336e-05, + "loss": 0.5068, + "step": 19065 + }, + { + "epoch": 0.67, + "learning_rate": 4.991745027967877e-05, + "loss": 0.4897, + "step": 19066 + }, + { + "epoch": 0.67, + "learning_rate": 4.9907928240326985e-05, + "loss": 0.4756, + "step": 19067 + }, + { + "epoch": 0.67, + "learning_rate": 4.9898406807256225e-05, + "loss": 0.3503, + "step": 19068 + }, + { + "epoch": 0.67, + "learning_rate": 4.988888598058178e-05, + "loss": 0.4176, + "step": 19069 + }, + { + "epoch": 0.67, + "learning_rate": 4.987936576041886e-05, + "loss": 0.5249, + "step": 19070 + }, + { + "epoch": 0.67, + "learning_rate": 4.986984614688269e-05, + "loss": 0.4454, + "step": 19071 + }, + { + "epoch": 0.67, + "learning_rate": 4.986032714008849e-05, + "loss": 0.4853, + "step": 19072 + }, + { + "epoch": 0.67, + "learning_rate": 4.985080874015143e-05, + "loss": 0.4847, + "step": 19073 + }, + { + "epoch": 0.67, + "learning_rate": 4.984129094718679e-05, + "loss": 0.4987, + "step": 19074 + }, + { + "epoch": 0.67, + "learning_rate": 4.983177376130974e-05, + "loss": 0.4999, + "step": 19075 + }, + { + "epoch": 0.67, + "learning_rate": 4.9822257182635457e-05, + "loss": 0.4195, + "step": 19076 + }, + { + "epoch": 0.67, + "learning_rate": 4.9812741211279125e-05, + "loss": 0.4543, + "step": 19077 + }, + { + "epoch": 0.67, + "learning_rate": 4.980322584735588e-05, + "loss": 0.4782, + "step": 19078 + }, + { + "epoch": 0.67, + "learning_rate": 4.9793711090980975e-05, + "loss": 0.5142, + "step": 19079 + }, + { + "epoch": 0.67, + "learning_rate": 4.978419694226956e-05, + "loss": 0.4284, + "step": 19080 + }, + { + "epoch": 0.67, + "learning_rate": 4.9774683401336716e-05, + "loss": 0.5413, + "step": 19081 + }, + { + "epoch": 0.67, + "learning_rate": 4.976517046829758e-05, + "loss": 0.5345, + "step": 19082 + }, + { + "epoch": 0.67, + "learning_rate": 4.975565814326739e-05, + "loss": 0.4844, + "step": 19083 + }, + { + "epoch": 0.67, + "learning_rate": 4.974614642636122e-05, + "loss": 0.4425, + "step": 19084 + }, + { + "epoch": 0.67, + "learning_rate": 4.973663531769419e-05, + "loss": 0.3939, + "step": 19085 + }, + { + "epoch": 0.67, + "learning_rate": 4.972712481738143e-05, + "loss": 0.3935, + "step": 19086 + }, + { + "epoch": 0.67, + "learning_rate": 4.9717614925538005e-05, + "loss": 0.4441, + "step": 19087 + }, + { + "epoch": 0.67, + "learning_rate": 4.9708105642279076e-05, + "loss": 0.3682, + "step": 19088 + }, + { + "epoch": 0.67, + "learning_rate": 4.9698596967719734e-05, + "loss": 0.4423, + "step": 19089 + }, + { + "epoch": 0.67, + "learning_rate": 4.9689088901975033e-05, + "loss": 0.3898, + "step": 19090 + }, + { + "epoch": 0.67, + "learning_rate": 4.9679581445160076e-05, + "loss": 0.4457, + "step": 19091 + }, + { + "epoch": 0.67, + "learning_rate": 4.9670074597389874e-05, + "loss": 0.4449, + "step": 19092 + }, + { + "epoch": 0.67, + "learning_rate": 4.966056835877958e-05, + "loss": 0.4513, + "step": 19093 + }, + { + "epoch": 0.67, + "learning_rate": 4.965106272944422e-05, + "loss": 0.528, + "step": 19094 + }, + { + "epoch": 0.67, + "learning_rate": 4.964155770949883e-05, + "loss": 0.5271, + "step": 19095 + }, + { + "epoch": 0.67, + "learning_rate": 4.963205329905847e-05, + "loss": 0.6017, + "step": 19096 + }, + { + "epoch": 0.67, + "learning_rate": 4.9622549498238124e-05, + "loss": 0.4975, + "step": 19097 + }, + { + "epoch": 0.67, + "learning_rate": 4.961304630715289e-05, + "loss": 0.4705, + "step": 19098 + }, + { + "epoch": 0.67, + "learning_rate": 4.960354372591776e-05, + "loss": 0.5411, + "step": 19099 + }, + { + "epoch": 0.67, + "learning_rate": 4.959404175464775e-05, + "loss": 0.4715, + "step": 19100 + }, + { + "epoch": 0.67, + "learning_rate": 4.958454039345786e-05, + "loss": 0.4199, + "step": 19101 + }, + { + "epoch": 0.67, + "learning_rate": 4.9575039642463085e-05, + "loss": 0.4848, + "step": 19102 + }, + { + "epoch": 0.67, + "learning_rate": 4.956553950177838e-05, + "loss": 0.4403, + "step": 19103 + }, + { + "epoch": 0.67, + "learning_rate": 4.955603997151881e-05, + "loss": 0.4403, + "step": 19104 + }, + { + "epoch": 0.67, + "learning_rate": 4.95465410517993e-05, + "loss": 0.53, + "step": 19105 + }, + { + "epoch": 0.67, + "learning_rate": 4.953704274273484e-05, + "loss": 0.5303, + "step": 19106 + }, + { + "epoch": 0.67, + "learning_rate": 4.952754504444037e-05, + "loss": 0.4799, + "step": 19107 + }, + { + "epoch": 0.67, + "learning_rate": 4.951804795703081e-05, + "loss": 0.4586, + "step": 19108 + }, + { + "epoch": 0.67, + "learning_rate": 4.95085514806212e-05, + "loss": 0.4181, + "step": 19109 + }, + { + "epoch": 0.67, + "learning_rate": 4.949905561532642e-05, + "loss": 0.4972, + "step": 19110 + }, + { + "epoch": 0.67, + "learning_rate": 4.9489560361261414e-05, + "loss": 0.6038, + "step": 19111 + }, + { + "epoch": 0.67, + "learning_rate": 4.948006571854109e-05, + "loss": 0.5116, + "step": 19112 + }, + { + "epoch": 0.67, + "learning_rate": 4.947057168728035e-05, + "loss": 0.5475, + "step": 19113 + }, + { + "epoch": 0.67, + "learning_rate": 4.946107826759416e-05, + "loss": 0.4634, + "step": 19114 + }, + { + "epoch": 0.67, + "learning_rate": 4.9451585459597406e-05, + "loss": 0.4997, + "step": 19115 + }, + { + "epoch": 0.67, + "learning_rate": 4.944209326340495e-05, + "loss": 0.3878, + "step": 19116 + }, + { + "epoch": 0.67, + "learning_rate": 4.943260167913172e-05, + "loss": 0.4834, + "step": 19117 + }, + { + "epoch": 0.67, + "learning_rate": 4.942311070689252e-05, + "loss": 0.5844, + "step": 19118 + }, + { + "epoch": 0.67, + "learning_rate": 4.941362034680231e-05, + "loss": 0.4755, + "step": 19119 + }, + { + "epoch": 0.67, + "learning_rate": 4.9404130598975926e-05, + "loss": 0.4336, + "step": 19120 + }, + { + "epoch": 0.67, + "learning_rate": 4.9394641463528225e-05, + "loss": 0.4677, + "step": 19121 + }, + { + "epoch": 0.67, + "learning_rate": 4.938515294057405e-05, + "loss": 0.5592, + "step": 19122 + }, + { + "epoch": 0.67, + "learning_rate": 4.9375665030228214e-05, + "loss": 0.4422, + "step": 19123 + }, + { + "epoch": 0.67, + "learning_rate": 4.936617773260561e-05, + "loss": 0.4513, + "step": 19124 + }, + { + "epoch": 0.67, + "learning_rate": 4.935669104782106e-05, + "loss": 0.4092, + "step": 19125 + }, + { + "epoch": 0.67, + "learning_rate": 4.934720497598935e-05, + "loss": 0.4781, + "step": 19126 + }, + { + "epoch": 0.67, + "learning_rate": 4.933771951722531e-05, + "loss": 0.4285, + "step": 19127 + }, + { + "epoch": 0.67, + "learning_rate": 4.93282346716437e-05, + "loss": 0.4592, + "step": 19128 + }, + { + "epoch": 0.67, + "learning_rate": 4.931875043935942e-05, + "loss": 0.4802, + "step": 19129 + }, + { + "epoch": 0.67, + "learning_rate": 4.9309266820487185e-05, + "loss": 0.4915, + "step": 19130 + }, + { + "epoch": 0.67, + "learning_rate": 4.9299783815141796e-05, + "loss": 0.4062, + "step": 19131 + }, + { + "epoch": 0.67, + "learning_rate": 4.9290301423438046e-05, + "loss": 0.4465, + "step": 19132 + }, + { + "epoch": 0.67, + "learning_rate": 4.928081964549067e-05, + "loss": 0.4951, + "step": 19133 + }, + { + "epoch": 0.67, + "learning_rate": 4.927133848141442e-05, + "loss": 0.4195, + "step": 19134 + }, + { + "epoch": 0.67, + "learning_rate": 4.926185793132411e-05, + "loss": 0.4254, + "step": 19135 + }, + { + "epoch": 0.67, + "learning_rate": 4.9252377995334444e-05, + "loss": 0.4487, + "step": 19136 + }, + { + "epoch": 0.67, + "learning_rate": 4.9242898673560176e-05, + "loss": 0.4834, + "step": 19137 + }, + { + "epoch": 0.67, + "learning_rate": 4.9233419966116036e-05, + "loss": 0.4596, + "step": 19138 + }, + { + "epoch": 0.67, + "learning_rate": 4.92239418731167e-05, + "loss": 0.4404, + "step": 19139 + }, + { + "epoch": 0.67, + "learning_rate": 4.921446439467696e-05, + "loss": 0.4383, + "step": 19140 + }, + { + "epoch": 0.67, + "learning_rate": 4.9204987530911495e-05, + "loss": 0.5913, + "step": 19141 + }, + { + "epoch": 0.67, + "learning_rate": 4.9195511281935e-05, + "loss": 0.4507, + "step": 19142 + }, + { + "epoch": 0.67, + "learning_rate": 4.9186035647862185e-05, + "loss": 0.4733, + "step": 19143 + }, + { + "epoch": 0.67, + "learning_rate": 4.9176560628807665e-05, + "loss": 0.4733, + "step": 19144 + }, + { + "epoch": 0.67, + "learning_rate": 4.916708622488624e-05, + "loss": 0.4816, + "step": 19145 + }, + { + "epoch": 0.67, + "learning_rate": 4.9157612436212506e-05, + "loss": 0.4422, + "step": 19146 + }, + { + "epoch": 0.67, + "learning_rate": 4.914813926290115e-05, + "loss": 0.4605, + "step": 19147 + }, + { + "epoch": 0.67, + "learning_rate": 4.9138666705066815e-05, + "loss": 0.4519, + "step": 19148 + }, + { + "epoch": 0.67, + "learning_rate": 4.912919476282412e-05, + "loss": 0.4569, + "step": 19149 + }, + { + "epoch": 0.67, + "learning_rate": 4.911972343628778e-05, + "loss": 0.4905, + "step": 19150 + }, + { + "epoch": 0.67, + "learning_rate": 4.9110252725572405e-05, + "loss": 0.4842, + "step": 19151 + }, + { + "epoch": 0.67, + "learning_rate": 4.91007826307926e-05, + "loss": 0.5598, + "step": 19152 + }, + { + "epoch": 0.67, + "learning_rate": 4.909131315206299e-05, + "loss": 0.4274, + "step": 19153 + }, + { + "epoch": 0.67, + "learning_rate": 4.908184428949816e-05, + "loss": 0.4107, + "step": 19154 + }, + { + "epoch": 0.67, + "learning_rate": 4.9072376043212784e-05, + "loss": 0.3659, + "step": 19155 + }, + { + "epoch": 0.67, + "learning_rate": 4.906290841332143e-05, + "loss": 0.4197, + "step": 19156 + }, + { + "epoch": 0.67, + "learning_rate": 4.9053441399938674e-05, + "loss": 0.4122, + "step": 19157 + }, + { + "epoch": 0.67, + "learning_rate": 4.904397500317911e-05, + "loss": 0.4824, + "step": 19158 + }, + { + "epoch": 0.67, + "learning_rate": 4.9034509223157265e-05, + "loss": 0.4548, + "step": 19159 + }, + { + "epoch": 0.67, + "learning_rate": 4.902504405998778e-05, + "loss": 0.396, + "step": 19160 + }, + { + "epoch": 0.67, + "learning_rate": 4.901557951378519e-05, + "loss": 0.5096, + "step": 19161 + }, + { + "epoch": 0.67, + "learning_rate": 4.900611558466405e-05, + "loss": 0.4608, + "step": 19162 + }, + { + "epoch": 0.67, + "learning_rate": 4.89966522727389e-05, + "loss": 0.5631, + "step": 19163 + }, + { + "epoch": 0.67, + "learning_rate": 4.898718957812426e-05, + "loss": 0.4058, + "step": 19164 + }, + { + "epoch": 0.67, + "learning_rate": 4.8977727500934646e-05, + "loss": 0.3864, + "step": 19165 + }, + { + "epoch": 0.67, + "learning_rate": 4.896826604128464e-05, + "loss": 0.5176, + "step": 19166 + }, + { + "epoch": 0.67, + "learning_rate": 4.895880519928873e-05, + "loss": 0.4163, + "step": 19167 + }, + { + "epoch": 0.67, + "learning_rate": 4.894934497506142e-05, + "loss": 0.4651, + "step": 19168 + }, + { + "epoch": 0.67, + "learning_rate": 4.893988536871721e-05, + "loss": 0.5596, + "step": 19169 + }, + { + "epoch": 0.67, + "learning_rate": 4.8930426380370566e-05, + "loss": 0.524, + "step": 19170 + }, + { + "epoch": 0.67, + "learning_rate": 4.8920968010136024e-05, + "loss": 0.4435, + "step": 19171 + }, + { + "epoch": 0.67, + "learning_rate": 4.891151025812805e-05, + "loss": 0.4809, + "step": 19172 + }, + { + "epoch": 0.67, + "learning_rate": 4.890205312446109e-05, + "loss": 0.4638, + "step": 19173 + }, + { + "epoch": 0.67, + "learning_rate": 4.889259660924963e-05, + "loss": 0.5534, + "step": 19174 + }, + { + "epoch": 0.67, + "learning_rate": 4.888314071260807e-05, + "loss": 0.4516, + "step": 19175 + }, + { + "epoch": 0.67, + "learning_rate": 4.887368543465095e-05, + "loss": 0.5044, + "step": 19176 + }, + { + "epoch": 0.67, + "learning_rate": 4.886423077549266e-05, + "loss": 0.4529, + "step": 19177 + }, + { + "epoch": 0.67, + "learning_rate": 4.885477673524763e-05, + "loss": 0.3968, + "step": 19178 + }, + { + "epoch": 0.67, + "learning_rate": 4.884532331403029e-05, + "loss": 0.4743, + "step": 19179 + }, + { + "epoch": 0.67, + "learning_rate": 4.883587051195503e-05, + "loss": 0.4234, + "step": 19180 + }, + { + "epoch": 0.67, + "learning_rate": 4.882641832913632e-05, + "loss": 0.4723, + "step": 19181 + }, + { + "epoch": 0.67, + "learning_rate": 4.881696676568854e-05, + "loss": 0.5186, + "step": 19182 + }, + { + "epoch": 0.67, + "learning_rate": 4.880751582172608e-05, + "loss": 0.4445, + "step": 19183 + }, + { + "epoch": 0.67, + "learning_rate": 4.879806549736332e-05, + "loss": 0.4822, + "step": 19184 + }, + { + "epoch": 0.67, + "learning_rate": 4.878861579271461e-05, + "loss": 0.4759, + "step": 19185 + }, + { + "epoch": 0.67, + "learning_rate": 4.87791667078944e-05, + "loss": 0.4948, + "step": 19186 + }, + { + "epoch": 0.67, + "learning_rate": 4.8769718243017016e-05, + "loss": 0.5339, + "step": 19187 + }, + { + "epoch": 0.67, + "learning_rate": 4.876027039819681e-05, + "loss": 0.5422, + "step": 19188 + }, + { + "epoch": 0.67, + "learning_rate": 4.875082317354813e-05, + "loss": 0.5015, + "step": 19189 + }, + { + "epoch": 0.67, + "learning_rate": 4.8741376569185305e-05, + "loss": 0.4309, + "step": 19190 + }, + { + "epoch": 0.67, + "learning_rate": 4.8731930585222716e-05, + "loss": 0.6219, + "step": 19191 + }, + { + "epoch": 0.67, + "learning_rate": 4.872248522177467e-05, + "loss": 0.4132, + "step": 19192 + }, + { + "epoch": 0.67, + "learning_rate": 4.8713040478955494e-05, + "loss": 0.479, + "step": 19193 + }, + { + "epoch": 0.67, + "learning_rate": 4.870359635687948e-05, + "loss": 0.5614, + "step": 19194 + }, + { + "epoch": 0.67, + "learning_rate": 4.8694152855660914e-05, + "loss": 0.4843, + "step": 19195 + }, + { + "epoch": 0.67, + "learning_rate": 4.8684709975414156e-05, + "loss": 0.4287, + "step": 19196 + }, + { + "epoch": 0.67, + "learning_rate": 4.867526771625346e-05, + "loss": 0.6004, + "step": 19197 + }, + { + "epoch": 0.67, + "learning_rate": 4.866582607829312e-05, + "loss": 0.407, + "step": 19198 + }, + { + "epoch": 0.67, + "learning_rate": 4.86563850616474e-05, + "loss": 0.4263, + "step": 19199 + }, + { + "epoch": 0.67, + "learning_rate": 4.864694466643057e-05, + "loss": 0.4372, + "step": 19200 + }, + { + "epoch": 0.67, + "eval_loss": 0.45599257946014404, + "eval_runtime": 847.1101, + "eval_samples_per_second": 28.402, + "eval_steps_per_second": 14.201, + "step": 19200 + }, + { + "epoch": 0.67, + "learning_rate": 4.863750489275687e-05, + "loss": 0.4755, + "step": 19201 + }, + { + "epoch": 0.67, + "learning_rate": 4.8628065740740606e-05, + "loss": 0.4282, + "step": 19202 + }, + { + "epoch": 0.67, + "learning_rate": 4.8618627210495984e-05, + "loss": 0.474, + "step": 19203 + }, + { + "epoch": 0.67, + "learning_rate": 4.860918930213725e-05, + "loss": 0.4433, + "step": 19204 + }, + { + "epoch": 0.67, + "learning_rate": 4.859975201577864e-05, + "loss": 0.5168, + "step": 19205 + }, + { + "epoch": 0.67, + "learning_rate": 4.8590315351534335e-05, + "loss": 0.52, + "step": 19206 + }, + { + "epoch": 0.67, + "learning_rate": 4.858087930951861e-05, + "loss": 0.4778, + "step": 19207 + }, + { + "epoch": 0.67, + "learning_rate": 4.8571443889845656e-05, + "loss": 0.4786, + "step": 19208 + }, + { + "epoch": 0.67, + "learning_rate": 4.856200909262968e-05, + "loss": 0.4968, + "step": 19209 + }, + { + "epoch": 0.67, + "learning_rate": 4.855257491798484e-05, + "loss": 0.5584, + "step": 19210 + }, + { + "epoch": 0.67, + "learning_rate": 4.854314136602531e-05, + "loss": 0.4035, + "step": 19211 + }, + { + "epoch": 0.67, + "learning_rate": 4.853370843686534e-05, + "loss": 0.3484, + "step": 19212 + }, + { + "epoch": 0.67, + "learning_rate": 4.852427613061906e-05, + "loss": 0.4981, + "step": 19213 + }, + { + "epoch": 0.67, + "learning_rate": 4.851484444740062e-05, + "loss": 0.5178, + "step": 19214 + }, + { + "epoch": 0.67, + "learning_rate": 4.850541338732419e-05, + "loss": 0.4839, + "step": 19215 + }, + { + "epoch": 0.67, + "learning_rate": 4.849598295050391e-05, + "loss": 0.4755, + "step": 19216 + }, + { + "epoch": 0.67, + "learning_rate": 4.848655313705394e-05, + "loss": 0.5252, + "step": 19217 + }, + { + "epoch": 0.67, + "learning_rate": 4.8477123947088375e-05, + "loss": 0.4292, + "step": 19218 + }, + { + "epoch": 0.67, + "learning_rate": 4.846769538072137e-05, + "loss": 0.5145, + "step": 19219 + }, + { + "epoch": 0.67, + "learning_rate": 4.845826743806698e-05, + "loss": 0.4991, + "step": 19220 + }, + { + "epoch": 0.67, + "learning_rate": 4.8448840119239415e-05, + "loss": 0.4966, + "step": 19221 + }, + { + "epoch": 0.67, + "learning_rate": 4.843941342435272e-05, + "loss": 0.4945, + "step": 19222 + }, + { + "epoch": 0.67, + "learning_rate": 4.842998735352101e-05, + "loss": 0.5414, + "step": 19223 + }, + { + "epoch": 0.67, + "learning_rate": 4.842056190685835e-05, + "loss": 0.4566, + "step": 19224 + }, + { + "epoch": 0.67, + "learning_rate": 4.8411137084478786e-05, + "loss": 0.4143, + "step": 19225 + }, + { + "epoch": 0.67, + "learning_rate": 4.840171288649648e-05, + "loss": 0.4881, + "step": 19226 + }, + { + "epoch": 0.67, + "learning_rate": 4.839228931302544e-05, + "loss": 0.5115, + "step": 19227 + }, + { + "epoch": 0.67, + "learning_rate": 4.8382866364179736e-05, + "loss": 0.4804, + "step": 19228 + }, + { + "epoch": 0.67, + "learning_rate": 4.8373444040073414e-05, + "loss": 0.6531, + "step": 19229 + }, + { + "epoch": 0.67, + "learning_rate": 4.836402234082047e-05, + "loss": 0.5446, + "step": 19230 + }, + { + "epoch": 0.67, + "learning_rate": 4.8354601266535026e-05, + "loss": 0.477, + "step": 19231 + }, + { + "epoch": 0.67, + "learning_rate": 4.834518081733106e-05, + "loss": 0.5167, + "step": 19232 + }, + { + "epoch": 0.67, + "learning_rate": 4.83357609933226e-05, + "loss": 0.5334, + "step": 19233 + }, + { + "epoch": 0.67, + "learning_rate": 4.832634179462364e-05, + "loss": 0.4792, + "step": 19234 + }, + { + "epoch": 0.67, + "learning_rate": 4.831692322134821e-05, + "loss": 0.3714, + "step": 19235 + }, + { + "epoch": 0.67, + "learning_rate": 4.830750527361024e-05, + "loss": 0.4385, + "step": 19236 + }, + { + "epoch": 0.67, + "learning_rate": 4.829808795152382e-05, + "loss": 0.5269, + "step": 19237 + }, + { + "epoch": 0.67, + "learning_rate": 4.828867125520288e-05, + "loss": 0.4507, + "step": 19238 + }, + { + "epoch": 0.67, + "learning_rate": 4.8279255184761387e-05, + "loss": 0.5308, + "step": 19239 + }, + { + "epoch": 0.67, + "learning_rate": 4.826983974031332e-05, + "loss": 0.3831, + "step": 19240 + }, + { + "epoch": 0.67, + "learning_rate": 4.826042492197259e-05, + "loss": 0.4171, + "step": 19241 + }, + { + "epoch": 0.67, + "learning_rate": 4.825101072985324e-05, + "loss": 0.527, + "step": 19242 + }, + { + "epoch": 0.67, + "learning_rate": 4.824159716406915e-05, + "loss": 0.4818, + "step": 19243 + }, + { + "epoch": 0.67, + "learning_rate": 4.823218422473428e-05, + "loss": 0.5113, + "step": 19244 + }, + { + "epoch": 0.67, + "learning_rate": 4.822277191196254e-05, + "loss": 0.5018, + "step": 19245 + }, + { + "epoch": 0.67, + "learning_rate": 4.821336022586781e-05, + "loss": 0.5633, + "step": 19246 + }, + { + "epoch": 0.67, + "learning_rate": 4.82039491665641e-05, + "loss": 0.3954, + "step": 19247 + }, + { + "epoch": 0.67, + "learning_rate": 4.819453873416526e-05, + "loss": 0.4619, + "step": 19248 + }, + { + "epoch": 0.67, + "learning_rate": 4.8185128928785197e-05, + "loss": 0.5464, + "step": 19249 + }, + { + "epoch": 0.67, + "learning_rate": 4.817571975053779e-05, + "loss": 0.5182, + "step": 19250 + }, + { + "epoch": 0.67, + "learning_rate": 4.816631119953688e-05, + "loss": 0.4771, + "step": 19251 + }, + { + "epoch": 0.67, + "learning_rate": 4.815690327589645e-05, + "loss": 0.3956, + "step": 19252 + }, + { + "epoch": 0.67, + "learning_rate": 4.814749597973029e-05, + "loss": 0.4556, + "step": 19253 + }, + { + "epoch": 0.67, + "learning_rate": 4.813808931115228e-05, + "loss": 0.4847, + "step": 19254 + }, + { + "epoch": 0.67, + "learning_rate": 4.812868327027627e-05, + "loss": 0.4802, + "step": 19255 + }, + { + "epoch": 0.67, + "learning_rate": 4.8119277857216075e-05, + "loss": 0.4426, + "step": 19256 + }, + { + "epoch": 0.67, + "learning_rate": 4.810987307208558e-05, + "loss": 0.5026, + "step": 19257 + }, + { + "epoch": 0.67, + "learning_rate": 4.81004689149986e-05, + "loss": 0.4486, + "step": 19258 + }, + { + "epoch": 0.67, + "learning_rate": 4.809106538606896e-05, + "loss": 0.3993, + "step": 19259 + }, + { + "epoch": 0.67, + "learning_rate": 4.808166248541045e-05, + "loss": 0.5068, + "step": 19260 + }, + { + "epoch": 0.67, + "learning_rate": 4.807226021313687e-05, + "loss": 0.5271, + "step": 19261 + }, + { + "epoch": 0.67, + "learning_rate": 4.806285856936206e-05, + "loss": 0.423, + "step": 19262 + }, + { + "epoch": 0.67, + "learning_rate": 4.80534575541998e-05, + "loss": 0.4446, + "step": 19263 + }, + { + "epoch": 0.67, + "learning_rate": 4.8044057167763866e-05, + "loss": 0.5157, + "step": 19264 + }, + { + "epoch": 0.67, + "learning_rate": 4.8034657410168026e-05, + "loss": 0.4244, + "step": 19265 + }, + { + "epoch": 0.67, + "learning_rate": 4.8025258281526065e-05, + "loss": 0.4165, + "step": 19266 + }, + { + "epoch": 0.67, + "learning_rate": 4.801585978195169e-05, + "loss": 0.4503, + "step": 19267 + }, + { + "epoch": 0.67, + "learning_rate": 4.800646191155873e-05, + "loss": 0.4067, + "step": 19268 + }, + { + "epoch": 0.67, + "learning_rate": 4.799706467046091e-05, + "loss": 0.5945, + "step": 19269 + }, + { + "epoch": 0.67, + "learning_rate": 4.798766805877195e-05, + "loss": 0.398, + "step": 19270 + }, + { + "epoch": 0.67, + "learning_rate": 4.797827207660559e-05, + "loss": 0.4914, + "step": 19271 + }, + { + "epoch": 0.67, + "learning_rate": 4.796887672407552e-05, + "loss": 0.4916, + "step": 19272 + }, + { + "epoch": 0.67, + "learning_rate": 4.795948200129551e-05, + "loss": 0.418, + "step": 19273 + }, + { + "epoch": 0.67, + "learning_rate": 4.7950087908379245e-05, + "loss": 0.4429, + "step": 19274 + }, + { + "epoch": 0.67, + "learning_rate": 4.794069444544043e-05, + "loss": 0.5031, + "step": 19275 + }, + { + "epoch": 0.67, + "learning_rate": 4.7931301612592736e-05, + "loss": 0.4787, + "step": 19276 + }, + { + "epoch": 0.67, + "learning_rate": 4.792190940994983e-05, + "loss": 0.4476, + "step": 19277 + }, + { + "epoch": 0.67, + "learning_rate": 4.791251783762546e-05, + "loss": 0.4384, + "step": 19278 + }, + { + "epoch": 0.67, + "learning_rate": 4.790312689573325e-05, + "loss": 0.3804, + "step": 19279 + }, + { + "epoch": 0.67, + "learning_rate": 4.789373658438687e-05, + "loss": 0.4838, + "step": 19280 + }, + { + "epoch": 0.67, + "learning_rate": 4.788434690369997e-05, + "loss": 0.4619, + "step": 19281 + }, + { + "epoch": 0.67, + "learning_rate": 4.7874957853786165e-05, + "loss": 0.4842, + "step": 19282 + }, + { + "epoch": 0.67, + "learning_rate": 4.786556943475915e-05, + "loss": 0.4815, + "step": 19283 + }, + { + "epoch": 0.67, + "learning_rate": 4.7856181646732544e-05, + "loss": 0.4838, + "step": 19284 + }, + { + "epoch": 0.67, + "learning_rate": 4.784679448981996e-05, + "loss": 0.4977, + "step": 19285 + }, + { + "epoch": 0.67, + "learning_rate": 4.7837407964135004e-05, + "loss": 0.4214, + "step": 19286 + }, + { + "epoch": 0.67, + "learning_rate": 4.7828022069791256e-05, + "loss": 0.5338, + "step": 19287 + }, + { + "epoch": 0.67, + "learning_rate": 4.7818636806902405e-05, + "loss": 0.4365, + "step": 19288 + }, + { + "epoch": 0.67, + "learning_rate": 4.780925217558197e-05, + "loss": 0.4412, + "step": 19289 + }, + { + "epoch": 0.68, + "learning_rate": 4.7799868175943585e-05, + "loss": 0.4326, + "step": 19290 + }, + { + "epoch": 0.68, + "learning_rate": 4.779048480810079e-05, + "loss": 0.472, + "step": 19291 + }, + { + "epoch": 0.68, + "learning_rate": 4.778110207216713e-05, + "loss": 0.4703, + "step": 19292 + }, + { + "epoch": 0.68, + "learning_rate": 4.777171996825624e-05, + "loss": 0.5391, + "step": 19293 + }, + { + "epoch": 0.68, + "learning_rate": 4.776233849648163e-05, + "loss": 0.5161, + "step": 19294 + }, + { + "epoch": 0.68, + "learning_rate": 4.775295765695687e-05, + "loss": 0.481, + "step": 19295 + }, + { + "epoch": 0.68, + "learning_rate": 4.774357744979547e-05, + "loss": 0.4961, + "step": 19296 + }, + { + "epoch": 0.68, + "learning_rate": 4.773419787511095e-05, + "loss": 0.4489, + "step": 19297 + }, + { + "epoch": 0.68, + "learning_rate": 4.77248189330169e-05, + "loss": 0.5246, + "step": 19298 + }, + { + "epoch": 0.68, + "learning_rate": 4.77154406236268e-05, + "loss": 0.4417, + "step": 19299 + }, + { + "epoch": 0.68, + "learning_rate": 4.7706062947054145e-05, + "loss": 0.5099, + "step": 19300 + }, + { + "epoch": 0.68, + "learning_rate": 4.7696685903412456e-05, + "loss": 0.4826, + "step": 19301 + }, + { + "epoch": 0.68, + "learning_rate": 4.768730949281521e-05, + "loss": 0.529, + "step": 19302 + }, + { + "epoch": 0.68, + "learning_rate": 4.7677933715375875e-05, + "loss": 0.4015, + "step": 19303 + }, + { + "epoch": 0.68, + "learning_rate": 4.766855857120799e-05, + "loss": 0.5466, + "step": 19304 + }, + { + "epoch": 0.68, + "learning_rate": 4.765918406042499e-05, + "loss": 0.4808, + "step": 19305 + }, + { + "epoch": 0.68, + "learning_rate": 4.7649810183140334e-05, + "loss": 0.4027, + "step": 19306 + }, + { + "epoch": 0.68, + "learning_rate": 4.764043693946748e-05, + "loss": 0.4381, + "step": 19307 + }, + { + "epoch": 0.68, + "learning_rate": 4.763106432951984e-05, + "loss": 0.4377, + "step": 19308 + }, + { + "epoch": 0.68, + "learning_rate": 4.762169235341093e-05, + "loss": 0.5331, + "step": 19309 + }, + { + "epoch": 0.68, + "learning_rate": 4.761232101125415e-05, + "loss": 0.4638, + "step": 19310 + }, + { + "epoch": 0.68, + "learning_rate": 4.7602950303162905e-05, + "loss": 0.4536, + "step": 19311 + }, + { + "epoch": 0.68, + "learning_rate": 4.7593580229250636e-05, + "loss": 0.4531, + "step": 19312 + }, + { + "epoch": 0.68, + "learning_rate": 4.758421078963069e-05, + "loss": 0.3894, + "step": 19313 + }, + { + "epoch": 0.68, + "learning_rate": 4.757484198441657e-05, + "loss": 0.4449, + "step": 19314 + }, + { + "epoch": 0.68, + "learning_rate": 4.756547381372162e-05, + "loss": 0.4639, + "step": 19315 + }, + { + "epoch": 0.68, + "learning_rate": 4.755610627765921e-05, + "loss": 0.4979, + "step": 19316 + }, + { + "epoch": 0.68, + "learning_rate": 4.754673937634274e-05, + "loss": 0.4294, + "step": 19317 + }, + { + "epoch": 0.68, + "learning_rate": 4.753737310988554e-05, + "loss": 0.4624, + "step": 19318 + }, + { + "epoch": 0.68, + "learning_rate": 4.752800747840104e-05, + "loss": 0.4855, + "step": 19319 + }, + { + "epoch": 0.68, + "learning_rate": 4.7518642482002565e-05, + "loss": 0.4688, + "step": 19320 + }, + { + "epoch": 0.68, + "learning_rate": 4.7509278120803455e-05, + "loss": 0.5045, + "step": 19321 + }, + { + "epoch": 0.68, + "learning_rate": 4.749991439491706e-05, + "loss": 0.5158, + "step": 19322 + }, + { + "epoch": 0.68, + "learning_rate": 4.7490551304456664e-05, + "loss": 0.4731, + "step": 19323 + }, + { + "epoch": 0.68, + "learning_rate": 4.748118884953569e-05, + "loss": 0.4297, + "step": 19324 + }, + { + "epoch": 0.68, + "learning_rate": 4.7471827030267376e-05, + "loss": 0.5484, + "step": 19325 + }, + { + "epoch": 0.68, + "learning_rate": 4.746246584676507e-05, + "loss": 0.4534, + "step": 19326 + }, + { + "epoch": 0.68, + "learning_rate": 4.7453105299142054e-05, + "loss": 0.3928, + "step": 19327 + }, + { + "epoch": 0.68, + "learning_rate": 4.744374538751159e-05, + "loss": 0.4565, + "step": 19328 + }, + { + "epoch": 0.68, + "learning_rate": 4.743438611198703e-05, + "loss": 0.3776, + "step": 19329 + }, + { + "epoch": 0.68, + "learning_rate": 4.742502747268163e-05, + "loss": 0.3963, + "step": 19330 + }, + { + "epoch": 0.68, + "learning_rate": 4.741566946970866e-05, + "loss": 0.4547, + "step": 19331 + }, + { + "epoch": 0.68, + "learning_rate": 4.740631210318136e-05, + "loss": 0.4633, + "step": 19332 + }, + { + "epoch": 0.68, + "learning_rate": 4.7396955373213014e-05, + "loss": 0.4802, + "step": 19333 + }, + { + "epoch": 0.68, + "learning_rate": 4.7387599279916814e-05, + "loss": 0.5149, + "step": 19334 + }, + { + "epoch": 0.68, + "learning_rate": 4.7378243823406085e-05, + "loss": 0.4591, + "step": 19335 + }, + { + "epoch": 0.68, + "learning_rate": 4.7368889003794026e-05, + "loss": 0.4718, + "step": 19336 + }, + { + "epoch": 0.68, + "learning_rate": 4.735953482119384e-05, + "loss": 0.4917, + "step": 19337 + }, + { + "epoch": 0.68, + "learning_rate": 4.7350181275718766e-05, + "loss": 0.5175, + "step": 19338 + }, + { + "epoch": 0.68, + "learning_rate": 4.734082836748196e-05, + "loss": 0.5361, + "step": 19339 + }, + { + "epoch": 0.68, + "learning_rate": 4.733147609659671e-05, + "loss": 0.4491, + "step": 19340 + }, + { + "epoch": 0.68, + "learning_rate": 4.732212446317617e-05, + "loss": 0.4495, + "step": 19341 + }, + { + "epoch": 0.68, + "learning_rate": 4.7312773467333506e-05, + "loss": 0.4543, + "step": 19342 + }, + { + "epoch": 0.68, + "learning_rate": 4.730342310918192e-05, + "loss": 0.3939, + "step": 19343 + }, + { + "epoch": 0.68, + "learning_rate": 4.7294073388834545e-05, + "loss": 0.4482, + "step": 19344 + }, + { + "epoch": 0.68, + "learning_rate": 4.728472430640462e-05, + "loss": 0.4385, + "step": 19345 + }, + { + "epoch": 0.68, + "learning_rate": 4.727537586200525e-05, + "loss": 0.4766, + "step": 19346 + }, + { + "epoch": 0.68, + "learning_rate": 4.726602805574957e-05, + "loss": 0.4196, + "step": 19347 + }, + { + "epoch": 0.68, + "learning_rate": 4.7256680887750746e-05, + "loss": 0.4358, + "step": 19348 + }, + { + "epoch": 0.68, + "learning_rate": 4.724733435812186e-05, + "loss": 0.3754, + "step": 19349 + }, + { + "epoch": 0.68, + "learning_rate": 4.723798846697617e-05, + "loss": 0.5923, + "step": 19350 + }, + { + "epoch": 0.68, + "learning_rate": 4.722864321442665e-05, + "loss": 0.527, + "step": 19351 + }, + { + "epoch": 0.68, + "learning_rate": 4.7219298600586446e-05, + "loss": 0.4437, + "step": 19352 + }, + { + "epoch": 0.68, + "learning_rate": 4.720995462556865e-05, + "loss": 0.4946, + "step": 19353 + }, + { + "epoch": 0.68, + "learning_rate": 4.7200611289486405e-05, + "loss": 0.3968, + "step": 19354 + }, + { + "epoch": 0.68, + "learning_rate": 4.719126859245277e-05, + "loss": 0.3774, + "step": 19355 + }, + { + "epoch": 0.68, + "learning_rate": 4.7181926534580824e-05, + "loss": 0.4371, + "step": 19356 + }, + { + "epoch": 0.68, + "learning_rate": 4.717258511598363e-05, + "loss": 0.5513, + "step": 19357 + }, + { + "epoch": 0.68, + "learning_rate": 4.716324433677422e-05, + "loss": 0.4768, + "step": 19358 + }, + { + "epoch": 0.68, + "learning_rate": 4.71539041970657e-05, + "loss": 0.5349, + "step": 19359 + }, + { + "epoch": 0.68, + "learning_rate": 4.714456469697112e-05, + "loss": 0.4766, + "step": 19360 + }, + { + "epoch": 0.68, + "learning_rate": 4.713522583660349e-05, + "loss": 0.4649, + "step": 19361 + }, + { + "epoch": 0.68, + "learning_rate": 4.712588761607586e-05, + "loss": 0.5229, + "step": 19362 + }, + { + "epoch": 0.68, + "learning_rate": 4.7116550035501196e-05, + "loss": 0.4779, + "step": 19363 + }, + { + "epoch": 0.68, + "learning_rate": 4.7107213094992594e-05, + "loss": 0.4579, + "step": 19364 + }, + { + "epoch": 0.68, + "learning_rate": 4.709787679466303e-05, + "loss": 0.4442, + "step": 19365 + }, + { + "epoch": 0.68, + "learning_rate": 4.7088541134625506e-05, + "loss": 0.4472, + "step": 19366 + }, + { + "epoch": 0.68, + "learning_rate": 4.707920611499302e-05, + "loss": 0.5585, + "step": 19367 + }, + { + "epoch": 0.68, + "learning_rate": 4.7069871735878544e-05, + "loss": 0.4971, + "step": 19368 + }, + { + "epoch": 0.68, + "learning_rate": 4.706053799739501e-05, + "loss": 0.5042, + "step": 19369 + }, + { + "epoch": 0.68, + "learning_rate": 4.70512048996555e-05, + "loss": 0.4602, + "step": 19370 + }, + { + "epoch": 0.68, + "learning_rate": 4.704187244277289e-05, + "loss": 0.47, + "step": 19371 + }, + { + "epoch": 0.68, + "learning_rate": 4.703254062686017e-05, + "loss": 0.4074, + "step": 19372 + }, + { + "epoch": 0.68, + "learning_rate": 4.702320945203027e-05, + "loss": 0.4807, + "step": 19373 + }, + { + "epoch": 0.68, + "learning_rate": 4.701387891839609e-05, + "loss": 0.4047, + "step": 19374 + }, + { + "epoch": 0.68, + "learning_rate": 4.7004549026070645e-05, + "loss": 0.4008, + "step": 19375 + }, + { + "epoch": 0.68, + "learning_rate": 4.699521977516681e-05, + "loss": 0.4022, + "step": 19376 + }, + { + "epoch": 0.68, + "learning_rate": 4.69858911657975e-05, + "loss": 0.4487, + "step": 19377 + }, + { + "epoch": 0.68, + "learning_rate": 4.697656319807564e-05, + "loss": 0.4454, + "step": 19378 + }, + { + "epoch": 0.68, + "learning_rate": 4.696723587211407e-05, + "loss": 0.4898, + "step": 19379 + }, + { + "epoch": 0.68, + "learning_rate": 4.695790918802576e-05, + "loss": 0.4054, + "step": 19380 + }, + { + "epoch": 0.68, + "learning_rate": 4.694858314592358e-05, + "loss": 0.4487, + "step": 19381 + }, + { + "epoch": 0.68, + "learning_rate": 4.693925774592036e-05, + "loss": 0.5623, + "step": 19382 + }, + { + "epoch": 0.68, + "learning_rate": 4.692993298812902e-05, + "loss": 0.4473, + "step": 19383 + }, + { + "epoch": 0.68, + "learning_rate": 4.692060887266235e-05, + "loss": 0.4728, + "step": 19384 + }, + { + "epoch": 0.68, + "learning_rate": 4.691128539963329e-05, + "loss": 0.4588, + "step": 19385 + }, + { + "epoch": 0.68, + "learning_rate": 4.690196256915464e-05, + "loss": 0.496, + "step": 19386 + }, + { + "epoch": 0.68, + "learning_rate": 4.6892640381339256e-05, + "loss": 0.4469, + "step": 19387 + }, + { + "epoch": 0.68, + "learning_rate": 4.688331883629995e-05, + "loss": 0.4577, + "step": 19388 + }, + { + "epoch": 0.68, + "learning_rate": 4.6873997934149504e-05, + "loss": 0.4628, + "step": 19389 + }, + { + "epoch": 0.68, + "learning_rate": 4.686467767500081e-05, + "loss": 0.5126, + "step": 19390 + }, + { + "epoch": 0.68, + "learning_rate": 4.685535805896665e-05, + "loss": 0.4367, + "step": 19391 + }, + { + "epoch": 0.68, + "learning_rate": 4.684603908615981e-05, + "loss": 0.3913, + "step": 19392 + }, + { + "epoch": 0.68, + "learning_rate": 4.6836720756693075e-05, + "loss": 0.3983, + "step": 19393 + }, + { + "epoch": 0.68, + "learning_rate": 4.682740307067921e-05, + "loss": 0.4806, + "step": 19394 + }, + { + "epoch": 0.68, + "learning_rate": 4.6818086028231046e-05, + "loss": 0.4311, + "step": 19395 + }, + { + "epoch": 0.68, + "learning_rate": 4.680876962946133e-05, + "loss": 0.5035, + "step": 19396 + }, + { + "epoch": 0.68, + "learning_rate": 4.67994538744828e-05, + "loss": 0.5168, + "step": 19397 + }, + { + "epoch": 0.68, + "learning_rate": 4.679013876340822e-05, + "loss": 0.5035, + "step": 19398 + }, + { + "epoch": 0.68, + "learning_rate": 4.67808242963503e-05, + "loss": 0.5578, + "step": 19399 + }, + { + "epoch": 0.68, + "learning_rate": 4.677151047342185e-05, + "loss": 0.4748, + "step": 19400 + }, + { + "epoch": 0.68, + "eval_loss": 0.4529370069503784, + "eval_runtime": 850.9234, + "eval_samples_per_second": 28.275, + "eval_steps_per_second": 14.138, + "step": 19400 + }, + { + "epoch": 0.68, + "learning_rate": 4.676219729473555e-05, + "loss": 0.4328, + "step": 19401 + }, + { + "epoch": 0.68, + "learning_rate": 4.675288476040414e-05, + "loss": 0.4861, + "step": 19402 + }, + { + "epoch": 0.68, + "learning_rate": 4.674357287054031e-05, + "loss": 0.5461, + "step": 19403 + }, + { + "epoch": 0.68, + "learning_rate": 4.673426162525678e-05, + "loss": 0.4516, + "step": 19404 + }, + { + "epoch": 0.68, + "learning_rate": 4.6724951024666206e-05, + "loss": 0.512, + "step": 19405 + }, + { + "epoch": 0.68, + "learning_rate": 4.671564106888135e-05, + "loss": 0.4949, + "step": 19406 + }, + { + "epoch": 0.68, + "learning_rate": 4.670633175801486e-05, + "loss": 0.4816, + "step": 19407 + }, + { + "epoch": 0.68, + "learning_rate": 4.669702309217942e-05, + "loss": 0.5345, + "step": 19408 + }, + { + "epoch": 0.68, + "learning_rate": 4.668771507148766e-05, + "loss": 0.4601, + "step": 19409 + }, + { + "epoch": 0.68, + "learning_rate": 4.667840769605224e-05, + "loss": 0.4671, + "step": 19410 + }, + { + "epoch": 0.68, + "learning_rate": 4.666910096598586e-05, + "loss": 0.5308, + "step": 19411 + }, + { + "epoch": 0.68, + "learning_rate": 4.665979488140113e-05, + "loss": 0.5397, + "step": 19412 + }, + { + "epoch": 0.68, + "learning_rate": 4.66504894424107e-05, + "loss": 0.5107, + "step": 19413 + }, + { + "epoch": 0.68, + "learning_rate": 4.664118464912718e-05, + "loss": 0.5043, + "step": 19414 + }, + { + "epoch": 0.68, + "learning_rate": 4.663188050166316e-05, + "loss": 0.4332, + "step": 19415 + }, + { + "epoch": 0.68, + "learning_rate": 4.662257700013133e-05, + "loss": 0.4043, + "step": 19416 + }, + { + "epoch": 0.68, + "learning_rate": 4.661327414464424e-05, + "loss": 0.4646, + "step": 19417 + }, + { + "epoch": 0.68, + "learning_rate": 4.660397193531449e-05, + "loss": 0.4741, + "step": 19418 + }, + { + "epoch": 0.68, + "learning_rate": 4.659467037225468e-05, + "loss": 0.4439, + "step": 19419 + }, + { + "epoch": 0.68, + "learning_rate": 4.6585369455577346e-05, + "loss": 0.5545, + "step": 19420 + }, + { + "epoch": 0.68, + "learning_rate": 4.6576069185395134e-05, + "loss": 0.5009, + "step": 19421 + }, + { + "epoch": 0.68, + "learning_rate": 4.656676956182057e-05, + "loss": 0.4461, + "step": 19422 + }, + { + "epoch": 0.68, + "learning_rate": 4.655747058496621e-05, + "loss": 0.3714, + "step": 19423 + }, + { + "epoch": 0.68, + "learning_rate": 4.65481722549446e-05, + "loss": 0.4115, + "step": 19424 + }, + { + "epoch": 0.68, + "learning_rate": 4.6538874571868255e-05, + "loss": 0.5331, + "step": 19425 + }, + { + "epoch": 0.68, + "learning_rate": 4.6529577535849766e-05, + "loss": 0.4527, + "step": 19426 + }, + { + "epoch": 0.68, + "learning_rate": 4.6520281147001644e-05, + "loss": 0.4635, + "step": 19427 + }, + { + "epoch": 0.68, + "learning_rate": 4.651098540543638e-05, + "loss": 0.4278, + "step": 19428 + }, + { + "epoch": 0.68, + "learning_rate": 4.65016903112665e-05, + "loss": 0.4805, + "step": 19429 + }, + { + "epoch": 0.68, + "learning_rate": 4.6492395864604465e-05, + "loss": 0.4319, + "step": 19430 + }, + { + "epoch": 0.68, + "learning_rate": 4.648310206556283e-05, + "loss": 0.469, + "step": 19431 + }, + { + "epoch": 0.68, + "learning_rate": 4.647380891425407e-05, + "loss": 0.4562, + "step": 19432 + }, + { + "epoch": 0.68, + "learning_rate": 4.646451641079065e-05, + "loss": 0.4271, + "step": 19433 + }, + { + "epoch": 0.68, + "learning_rate": 4.645522455528504e-05, + "loss": 0.4236, + "step": 19434 + }, + { + "epoch": 0.68, + "learning_rate": 4.644593334784969e-05, + "loss": 0.4999, + "step": 19435 + }, + { + "epoch": 0.68, + "learning_rate": 4.643664278859703e-05, + "loss": 0.4241, + "step": 19436 + }, + { + "epoch": 0.68, + "learning_rate": 4.6427352877639586e-05, + "loss": 0.4667, + "step": 19437 + }, + { + "epoch": 0.68, + "learning_rate": 4.641806361508976e-05, + "loss": 0.4721, + "step": 19438 + }, + { + "epoch": 0.68, + "learning_rate": 4.640877500105997e-05, + "loss": 0.4205, + "step": 19439 + }, + { + "epoch": 0.68, + "learning_rate": 4.639948703566265e-05, + "loss": 0.4307, + "step": 19440 + }, + { + "epoch": 0.68, + "learning_rate": 4.6390199719010164e-05, + "loss": 0.5149, + "step": 19441 + }, + { + "epoch": 0.68, + "learning_rate": 4.638091305121501e-05, + "loss": 0.4601, + "step": 19442 + }, + { + "epoch": 0.68, + "learning_rate": 4.637162703238954e-05, + "loss": 0.4896, + "step": 19443 + }, + { + "epoch": 0.68, + "learning_rate": 4.636234166264616e-05, + "loss": 0.4062, + "step": 19444 + }, + { + "epoch": 0.68, + "learning_rate": 4.635305694209724e-05, + "loss": 0.5025, + "step": 19445 + }, + { + "epoch": 0.68, + "learning_rate": 4.634377287085513e-05, + "loss": 0.5099, + "step": 19446 + }, + { + "epoch": 0.68, + "learning_rate": 4.633448944903226e-05, + "loss": 0.4709, + "step": 19447 + }, + { + "epoch": 0.68, + "learning_rate": 4.632520667674095e-05, + "loss": 0.4654, + "step": 19448 + }, + { + "epoch": 0.68, + "learning_rate": 4.631592455409357e-05, + "loss": 0.4913, + "step": 19449 + }, + { + "epoch": 0.68, + "learning_rate": 4.630664308120246e-05, + "loss": 0.5281, + "step": 19450 + }, + { + "epoch": 0.68, + "learning_rate": 4.629736225817991e-05, + "loss": 0.4628, + "step": 19451 + }, + { + "epoch": 0.68, + "learning_rate": 4.628808208513833e-05, + "loss": 0.387, + "step": 19452 + }, + { + "epoch": 0.68, + "learning_rate": 4.6278802562190004e-05, + "loss": 0.398, + "step": 19453 + }, + { + "epoch": 0.68, + "learning_rate": 4.626952368944725e-05, + "loss": 0.4543, + "step": 19454 + }, + { + "epoch": 0.68, + "learning_rate": 4.6260245467022354e-05, + "loss": 0.4361, + "step": 19455 + }, + { + "epoch": 0.68, + "learning_rate": 4.6250967895027594e-05, + "loss": 0.4315, + "step": 19456 + }, + { + "epoch": 0.68, + "learning_rate": 4.6241690973575334e-05, + "loss": 0.522, + "step": 19457 + }, + { + "epoch": 0.68, + "learning_rate": 4.62324147027778e-05, + "loss": 0.4693, + "step": 19458 + }, + { + "epoch": 0.68, + "learning_rate": 4.62231390827473e-05, + "loss": 0.3884, + "step": 19459 + }, + { + "epoch": 0.68, + "learning_rate": 4.621386411359607e-05, + "loss": 0.5284, + "step": 19460 + }, + { + "epoch": 0.68, + "learning_rate": 4.620458979543634e-05, + "loss": 0.5198, + "step": 19461 + }, + { + "epoch": 0.68, + "learning_rate": 4.619531612838044e-05, + "loss": 0.4413, + "step": 19462 + }, + { + "epoch": 0.68, + "learning_rate": 4.618604311254056e-05, + "loss": 0.5816, + "step": 19463 + }, + { + "epoch": 0.68, + "learning_rate": 4.617677074802895e-05, + "loss": 0.5006, + "step": 19464 + }, + { + "epoch": 0.68, + "learning_rate": 4.616749903495783e-05, + "loss": 0.4302, + "step": 19465 + }, + { + "epoch": 0.68, + "learning_rate": 4.615822797343938e-05, + "loss": 0.5533, + "step": 19466 + }, + { + "epoch": 0.68, + "learning_rate": 4.614895756358589e-05, + "loss": 0.5193, + "step": 19467 + }, + { + "epoch": 0.68, + "learning_rate": 4.6139687805509535e-05, + "loss": 0.4648, + "step": 19468 + }, + { + "epoch": 0.68, + "learning_rate": 4.613041869932249e-05, + "loss": 0.4551, + "step": 19469 + }, + { + "epoch": 0.68, + "learning_rate": 4.612115024513694e-05, + "loss": 0.5479, + "step": 19470 + }, + { + "epoch": 0.68, + "learning_rate": 4.611188244306508e-05, + "loss": 0.4614, + "step": 19471 + }, + { + "epoch": 0.68, + "learning_rate": 4.6102615293219044e-05, + "loss": 0.5412, + "step": 19472 + }, + { + "epoch": 0.68, + "learning_rate": 4.609334879571106e-05, + "loss": 0.5416, + "step": 19473 + }, + { + "epoch": 0.68, + "learning_rate": 4.608408295065325e-05, + "loss": 0.5115, + "step": 19474 + }, + { + "epoch": 0.68, + "learning_rate": 4.607481775815776e-05, + "loss": 0.5663, + "step": 19475 + }, + { + "epoch": 0.68, + "learning_rate": 4.606555321833674e-05, + "loss": 0.605, + "step": 19476 + }, + { + "epoch": 0.68, + "learning_rate": 4.605628933130227e-05, + "loss": 0.4519, + "step": 19477 + }, + { + "epoch": 0.68, + "learning_rate": 4.604702609716657e-05, + "loss": 0.4027, + "step": 19478 + }, + { + "epoch": 0.68, + "learning_rate": 4.6037763516041684e-05, + "loss": 0.4054, + "step": 19479 + }, + { + "epoch": 0.68, + "learning_rate": 4.602850158803975e-05, + "loss": 0.6487, + "step": 19480 + }, + { + "epoch": 0.68, + "learning_rate": 4.601924031327285e-05, + "loss": 0.5089, + "step": 19481 + }, + { + "epoch": 0.68, + "learning_rate": 4.600997969185305e-05, + "loss": 0.5085, + "step": 19482 + }, + { + "epoch": 0.68, + "learning_rate": 4.600071972389252e-05, + "loss": 0.4834, + "step": 19483 + }, + { + "epoch": 0.68, + "learning_rate": 4.599146040950331e-05, + "loss": 0.4986, + "step": 19484 + }, + { + "epoch": 0.68, + "learning_rate": 4.5982201748797425e-05, + "loss": 0.4183, + "step": 19485 + }, + { + "epoch": 0.68, + "learning_rate": 4.597294374188693e-05, + "loss": 0.4315, + "step": 19486 + }, + { + "epoch": 0.68, + "learning_rate": 4.5963686388883956e-05, + "loss": 0.4061, + "step": 19487 + }, + { + "epoch": 0.68, + "learning_rate": 4.595442968990049e-05, + "loss": 0.4416, + "step": 19488 + }, + { + "epoch": 0.68, + "learning_rate": 4.594517364504859e-05, + "loss": 0.4902, + "step": 19489 + }, + { + "epoch": 0.68, + "learning_rate": 4.593591825444028e-05, + "loss": 0.4088, + "step": 19490 + }, + { + "epoch": 0.68, + "learning_rate": 4.592666351818754e-05, + "loss": 0.441, + "step": 19491 + }, + { + "epoch": 0.68, + "learning_rate": 4.591740943640246e-05, + "loss": 0.4451, + "step": 19492 + }, + { + "epoch": 0.68, + "learning_rate": 4.5908156009197004e-05, + "loss": 0.3525, + "step": 19493 + }, + { + "epoch": 0.68, + "learning_rate": 4.5898903236683174e-05, + "loss": 0.4316, + "step": 19494 + }, + { + "epoch": 0.68, + "learning_rate": 4.588965111897296e-05, + "loss": 0.6206, + "step": 19495 + }, + { + "epoch": 0.68, + "learning_rate": 4.588039965617831e-05, + "loss": 0.4195, + "step": 19496 + }, + { + "epoch": 0.68, + "learning_rate": 4.587114884841126e-05, + "loss": 0.5163, + "step": 19497 + }, + { + "epoch": 0.68, + "learning_rate": 4.5861898695783746e-05, + "loss": 0.4902, + "step": 19498 + }, + { + "epoch": 0.68, + "learning_rate": 4.585264919840771e-05, + "loss": 0.5094, + "step": 19499 + }, + { + "epoch": 0.68, + "learning_rate": 4.584340035639514e-05, + "loss": 0.4114, + "step": 19500 + }, + { + "epoch": 0.68, + "learning_rate": 4.58341521698579e-05, + "loss": 0.4004, + "step": 19501 + }, + { + "epoch": 0.68, + "learning_rate": 4.582490463890803e-05, + "loss": 0.4177, + "step": 19502 + }, + { + "epoch": 0.68, + "learning_rate": 4.581565776365739e-05, + "loss": 0.4685, + "step": 19503 + }, + { + "epoch": 0.68, + "learning_rate": 4.580641154421792e-05, + "loss": 0.44, + "step": 19504 + }, + { + "epoch": 0.68, + "learning_rate": 4.5797165980701516e-05, + "loss": 0.4701, + "step": 19505 + }, + { + "epoch": 0.68, + "learning_rate": 4.5787921073220096e-05, + "loss": 0.4708, + "step": 19506 + }, + { + "epoch": 0.68, + "learning_rate": 4.5778676821885505e-05, + "loss": 0.4386, + "step": 19507 + }, + { + "epoch": 0.68, + "learning_rate": 4.57694332268097e-05, + "loss": 0.4576, + "step": 19508 + }, + { + "epoch": 0.68, + "learning_rate": 4.5760190288104524e-05, + "loss": 0.5574, + "step": 19509 + }, + { + "epoch": 0.68, + "learning_rate": 4.575094800588186e-05, + "loss": 0.4557, + "step": 19510 + }, + { + "epoch": 0.68, + "learning_rate": 4.574170638025356e-05, + "loss": 0.3682, + "step": 19511 + }, + { + "epoch": 0.68, + "learning_rate": 4.573246541133144e-05, + "loss": 0.4548, + "step": 19512 + }, + { + "epoch": 0.68, + "learning_rate": 4.572322509922742e-05, + "loss": 0.4462, + "step": 19513 + }, + { + "epoch": 0.68, + "learning_rate": 4.571398544405331e-05, + "loss": 0.4964, + "step": 19514 + }, + { + "epoch": 0.68, + "learning_rate": 4.570474644592093e-05, + "loss": 0.4345, + "step": 19515 + }, + { + "epoch": 0.68, + "learning_rate": 4.569550810494212e-05, + "loss": 0.3687, + "step": 19516 + }, + { + "epoch": 0.68, + "learning_rate": 4.568627042122864e-05, + "loss": 0.3901, + "step": 19517 + }, + { + "epoch": 0.68, + "learning_rate": 4.567703339489238e-05, + "loss": 0.5257, + "step": 19518 + }, + { + "epoch": 0.68, + "learning_rate": 4.566779702604509e-05, + "loss": 0.4212, + "step": 19519 + }, + { + "epoch": 0.68, + "learning_rate": 4.565856131479858e-05, + "loss": 0.5673, + "step": 19520 + }, + { + "epoch": 0.68, + "learning_rate": 4.564932626126461e-05, + "loss": 0.515, + "step": 19521 + }, + { + "epoch": 0.68, + "learning_rate": 4.564009186555495e-05, + "loss": 0.4669, + "step": 19522 + }, + { + "epoch": 0.68, + "learning_rate": 4.563085812778141e-05, + "loss": 0.4463, + "step": 19523 + }, + { + "epoch": 0.68, + "learning_rate": 4.562162504805573e-05, + "loss": 0.5254, + "step": 19524 + }, + { + "epoch": 0.68, + "learning_rate": 4.561239262648964e-05, + "loss": 0.499, + "step": 19525 + }, + { + "epoch": 0.68, + "learning_rate": 4.5603160863194906e-05, + "loss": 0.5499, + "step": 19526 + }, + { + "epoch": 0.68, + "learning_rate": 4.559392975828322e-05, + "loss": 0.4569, + "step": 19527 + }, + { + "epoch": 0.68, + "learning_rate": 4.558469931186637e-05, + "loss": 0.4426, + "step": 19528 + }, + { + "epoch": 0.68, + "learning_rate": 4.557546952405607e-05, + "loss": 0.4506, + "step": 19529 + }, + { + "epoch": 0.68, + "learning_rate": 4.556624039496399e-05, + "loss": 0.4355, + "step": 19530 + }, + { + "epoch": 0.68, + "learning_rate": 4.5557011924701865e-05, + "loss": 0.4281, + "step": 19531 + }, + { + "epoch": 0.68, + "learning_rate": 4.554778411338133e-05, + "loss": 0.4896, + "step": 19532 + }, + { + "epoch": 0.68, + "learning_rate": 4.5538556961114175e-05, + "loss": 0.3894, + "step": 19533 + }, + { + "epoch": 0.68, + "learning_rate": 4.552933046801201e-05, + "loss": 0.4763, + "step": 19534 + }, + { + "epoch": 0.68, + "learning_rate": 4.552010463418653e-05, + "loss": 0.5552, + "step": 19535 + }, + { + "epoch": 0.68, + "learning_rate": 4.5510879459749386e-05, + "loss": 0.4004, + "step": 19536 + }, + { + "epoch": 0.68, + "learning_rate": 4.550165494481224e-05, + "loss": 0.4692, + "step": 19537 + }, + { + "epoch": 0.68, + "learning_rate": 4.5492431089486696e-05, + "loss": 0.4321, + "step": 19538 + }, + { + "epoch": 0.68, + "learning_rate": 4.548320789388447e-05, + "loss": 0.5508, + "step": 19539 + }, + { + "epoch": 0.68, + "learning_rate": 4.5473985358117166e-05, + "loss": 0.4643, + "step": 19540 + }, + { + "epoch": 0.68, + "learning_rate": 4.546476348229639e-05, + "loss": 0.4939, + "step": 19541 + }, + { + "epoch": 0.68, + "learning_rate": 4.545554226653378e-05, + "loss": 0.5105, + "step": 19542 + }, + { + "epoch": 0.68, + "learning_rate": 4.544632171094088e-05, + "loss": 0.4195, + "step": 19543 + }, + { + "epoch": 0.68, + "learning_rate": 4.543710181562938e-05, + "loss": 0.4926, + "step": 19544 + }, + { + "epoch": 0.68, + "learning_rate": 4.542788258071084e-05, + "loss": 0.3664, + "step": 19545 + }, + { + "epoch": 0.68, + "learning_rate": 4.541866400629682e-05, + "loss": 0.501, + "step": 19546 + }, + { + "epoch": 0.68, + "learning_rate": 4.540944609249891e-05, + "loss": 0.474, + "step": 19547 + }, + { + "epoch": 0.68, + "learning_rate": 4.540022883942864e-05, + "loss": 0.4715, + "step": 19548 + }, + { + "epoch": 0.68, + "learning_rate": 4.5391012247197654e-05, + "loss": 0.4868, + "step": 19549 + }, + { + "epoch": 0.68, + "learning_rate": 4.538179631591745e-05, + "loss": 0.5661, + "step": 19550 + }, + { + "epoch": 0.68, + "learning_rate": 4.537258104569957e-05, + "loss": 0.5543, + "step": 19551 + }, + { + "epoch": 0.68, + "learning_rate": 4.536336643665556e-05, + "loss": 0.5099, + "step": 19552 + }, + { + "epoch": 0.68, + "learning_rate": 4.5354152488896916e-05, + "loss": 0.4785, + "step": 19553 + }, + { + "epoch": 0.68, + "learning_rate": 4.534493920253522e-05, + "loss": 0.4941, + "step": 19554 + }, + { + "epoch": 0.68, + "learning_rate": 4.533572657768195e-05, + "loss": 0.425, + "step": 19555 + }, + { + "epoch": 0.68, + "learning_rate": 4.5326514614448615e-05, + "loss": 0.4566, + "step": 19556 + }, + { + "epoch": 0.68, + "learning_rate": 4.531730331294669e-05, + "loss": 0.4671, + "step": 19557 + }, + { + "epoch": 0.68, + "learning_rate": 4.530809267328765e-05, + "loss": 0.4487, + "step": 19558 + }, + { + "epoch": 0.68, + "learning_rate": 4.5298882695583034e-05, + "loss": 0.4545, + "step": 19559 + }, + { + "epoch": 0.68, + "learning_rate": 4.5289673379944286e-05, + "loss": 0.4449, + "step": 19560 + }, + { + "epoch": 0.68, + "learning_rate": 4.528046472648286e-05, + "loss": 0.454, + "step": 19561 + }, + { + "epoch": 0.68, + "learning_rate": 4.527125673531022e-05, + "loss": 0.4521, + "step": 19562 + }, + { + "epoch": 0.68, + "learning_rate": 4.526204940653777e-05, + "loss": 0.4441, + "step": 19563 + }, + { + "epoch": 0.68, + "learning_rate": 4.525284274027701e-05, + "loss": 0.4316, + "step": 19564 + }, + { + "epoch": 0.68, + "learning_rate": 4.5243636736639374e-05, + "loss": 0.4423, + "step": 19565 + }, + { + "epoch": 0.68, + "learning_rate": 4.5234431395736246e-05, + "loss": 0.5114, + "step": 19566 + }, + { + "epoch": 0.68, + "learning_rate": 4.5225226717679056e-05, + "loss": 0.3996, + "step": 19567 + }, + { + "epoch": 0.68, + "learning_rate": 4.521602270257922e-05, + "loss": 0.3973, + "step": 19568 + }, + { + "epoch": 0.68, + "learning_rate": 4.520681935054809e-05, + "loss": 0.4803, + "step": 19569 + }, + { + "epoch": 0.68, + "learning_rate": 4.519761666169714e-05, + "loss": 0.4817, + "step": 19570 + }, + { + "epoch": 0.68, + "learning_rate": 4.51884146361377e-05, + "loss": 0.4226, + "step": 19571 + }, + { + "epoch": 0.68, + "learning_rate": 4.5179213273981147e-05, + "loss": 0.4553, + "step": 19572 + }, + { + "epoch": 0.68, + "learning_rate": 4.517001257533887e-05, + "loss": 0.3936, + "step": 19573 + }, + { + "epoch": 0.68, + "learning_rate": 4.516081254032217e-05, + "loss": 0.5115, + "step": 19574 + }, + { + "epoch": 0.68, + "learning_rate": 4.5151613169042486e-05, + "loss": 0.4378, + "step": 19575 + }, + { + "epoch": 0.69, + "learning_rate": 4.5142414461611104e-05, + "loss": 0.5235, + "step": 19576 + }, + { + "epoch": 0.69, + "learning_rate": 4.513321641813938e-05, + "loss": 0.4915, + "step": 19577 + }, + { + "epoch": 0.69, + "learning_rate": 4.512401903873863e-05, + "loss": 0.4233, + "step": 19578 + }, + { + "epoch": 0.69, + "learning_rate": 4.5114822323520145e-05, + "loss": 0.5291, + "step": 19579 + }, + { + "epoch": 0.69, + "learning_rate": 4.51056262725953e-05, + "loss": 0.4129, + "step": 19580 + }, + { + "epoch": 0.69, + "learning_rate": 4.509643088607537e-05, + "loss": 0.4851, + "step": 19581 + }, + { + "epoch": 0.69, + "learning_rate": 4.508723616407163e-05, + "loss": 0.4482, + "step": 19582 + }, + { + "epoch": 0.69, + "learning_rate": 4.507804210669539e-05, + "loss": 0.5133, + "step": 19583 + }, + { + "epoch": 0.69, + "learning_rate": 4.5068848714057884e-05, + "loss": 0.4734, + "step": 19584 + }, + { + "epoch": 0.69, + "learning_rate": 4.505965598627047e-05, + "loss": 0.4733, + "step": 19585 + }, + { + "epoch": 0.69, + "learning_rate": 4.505046392344434e-05, + "loss": 0.4793, + "step": 19586 + }, + { + "epoch": 0.69, + "learning_rate": 4.504127252569077e-05, + "loss": 0.4383, + "step": 19587 + }, + { + "epoch": 0.69, + "learning_rate": 4.503208179312101e-05, + "loss": 0.49, + "step": 19588 + }, + { + "epoch": 0.69, + "learning_rate": 4.502289172584625e-05, + "loss": 0.4487, + "step": 19589 + }, + { + "epoch": 0.69, + "learning_rate": 4.5013702323977815e-05, + "loss": 0.5199, + "step": 19590 + }, + { + "epoch": 0.69, + "learning_rate": 4.500451358762686e-05, + "loss": 0.4702, + "step": 19591 + }, + { + "epoch": 0.69, + "learning_rate": 4.4995325516904615e-05, + "loss": 0.4222, + "step": 19592 + }, + { + "epoch": 0.69, + "learning_rate": 4.4986138111922295e-05, + "loss": 0.4338, + "step": 19593 + }, + { + "epoch": 0.69, + "learning_rate": 4.497695137279105e-05, + "loss": 0.4977, + "step": 19594 + }, + { + "epoch": 0.69, + "learning_rate": 4.4967765299622155e-05, + "loss": 0.3381, + "step": 19595 + }, + { + "epoch": 0.69, + "learning_rate": 4.495857989252673e-05, + "loss": 0.4551, + "step": 19596 + }, + { + "epoch": 0.69, + "learning_rate": 4.4949395151615984e-05, + "loss": 0.4499, + "step": 19597 + }, + { + "epoch": 0.69, + "learning_rate": 4.494021107700105e-05, + "loss": 0.4797, + "step": 19598 + }, + { + "epoch": 0.69, + "learning_rate": 4.4931027668793066e-05, + "loss": 0.4693, + "step": 19599 + }, + { + "epoch": 0.69, + "learning_rate": 4.4921844927103264e-05, + "loss": 0.5461, + "step": 19600 + }, + { + "epoch": 0.69, + "eval_loss": 0.4498661160469055, + "eval_runtime": 854.1745, + "eval_samples_per_second": 28.168, + "eval_steps_per_second": 14.084, + "step": 19600 + }, + { + "epoch": 0.69, + "learning_rate": 4.491266285204273e-05, + "loss": 0.4602, + "step": 19601 + }, + { + "epoch": 0.69, + "learning_rate": 4.490348144372262e-05, + "loss": 0.4933, + "step": 19602 + }, + { + "epoch": 0.69, + "learning_rate": 4.489430070225403e-05, + "loss": 0.4046, + "step": 19603 + }, + { + "epoch": 0.69, + "learning_rate": 4.48851206277481e-05, + "loss": 0.4016, + "step": 19604 + }, + { + "epoch": 0.69, + "learning_rate": 4.48759412203159e-05, + "loss": 0.4212, + "step": 19605 + }, + { + "epoch": 0.69, + "learning_rate": 4.486676248006859e-05, + "loss": 0.4806, + "step": 19606 + }, + { + "epoch": 0.69, + "learning_rate": 4.485758440711725e-05, + "loss": 0.5048, + "step": 19607 + }, + { + "epoch": 0.69, + "learning_rate": 4.484840700157295e-05, + "loss": 0.4677, + "step": 19608 + }, + { + "epoch": 0.69, + "learning_rate": 4.4839230263546764e-05, + "loss": 0.4364, + "step": 19609 + }, + { + "epoch": 0.69, + "learning_rate": 4.4830054193149726e-05, + "loss": 0.4372, + "step": 19610 + }, + { + "epoch": 0.69, + "learning_rate": 4.482087879049299e-05, + "loss": 0.5561, + "step": 19611 + }, + { + "epoch": 0.69, + "learning_rate": 4.481170405568755e-05, + "loss": 0.4787, + "step": 19612 + }, + { + "epoch": 0.69, + "learning_rate": 4.4802529988844466e-05, + "loss": 0.5174, + "step": 19613 + }, + { + "epoch": 0.69, + "learning_rate": 4.479335659007475e-05, + "loss": 0.4463, + "step": 19614 + }, + { + "epoch": 0.69, + "learning_rate": 4.4784183859489425e-05, + "loss": 0.5034, + "step": 19615 + }, + { + "epoch": 0.69, + "learning_rate": 4.4775011797199574e-05, + "loss": 0.4975, + "step": 19616 + }, + { + "epoch": 0.69, + "learning_rate": 4.476584040331616e-05, + "loss": 0.504, + "step": 19617 + }, + { + "epoch": 0.69, + "learning_rate": 4.47566696779502e-05, + "loss": 0.3811, + "step": 19618 + }, + { + "epoch": 0.69, + "learning_rate": 4.47474996212127e-05, + "loss": 0.467, + "step": 19619 + }, + { + "epoch": 0.69, + "learning_rate": 4.473833023321462e-05, + "loss": 0.3753, + "step": 19620 + }, + { + "epoch": 0.69, + "learning_rate": 4.4729161514066964e-05, + "loss": 0.5139, + "step": 19621 + }, + { + "epoch": 0.69, + "learning_rate": 4.47199934638807e-05, + "loss": 0.4379, + "step": 19622 + }, + { + "epoch": 0.69, + "learning_rate": 4.471082608276678e-05, + "loss": 0.4551, + "step": 19623 + }, + { + "epoch": 0.69, + "learning_rate": 4.470165937083613e-05, + "loss": 0.4525, + "step": 19624 + }, + { + "epoch": 0.69, + "learning_rate": 4.469249332819977e-05, + "loss": 0.4067, + "step": 19625 + }, + { + "epoch": 0.69, + "learning_rate": 4.4683327954968614e-05, + "loss": 0.424, + "step": 19626 + }, + { + "epoch": 0.69, + "learning_rate": 4.4674163251253586e-05, + "loss": 0.564, + "step": 19627 + }, + { + "epoch": 0.69, + "learning_rate": 4.4664999217165604e-05, + "loss": 0.4201, + "step": 19628 + }, + { + "epoch": 0.69, + "learning_rate": 4.4655835852815556e-05, + "loss": 0.3905, + "step": 19629 + }, + { + "epoch": 0.69, + "learning_rate": 4.464667315831441e-05, + "loss": 0.499, + "step": 19630 + }, + { + "epoch": 0.69, + "learning_rate": 4.4637511133773036e-05, + "loss": 0.4105, + "step": 19631 + }, + { + "epoch": 0.69, + "learning_rate": 4.462834977930234e-05, + "loss": 0.4007, + "step": 19632 + }, + { + "epoch": 0.69, + "learning_rate": 4.461918909501318e-05, + "loss": 0.5115, + "step": 19633 + }, + { + "epoch": 0.69, + "learning_rate": 4.4610029081016405e-05, + "loss": 0.4494, + "step": 19634 + }, + { + "epoch": 0.69, + "learning_rate": 4.4600869737422944e-05, + "loss": 0.4625, + "step": 19635 + }, + { + "epoch": 0.69, + "learning_rate": 4.4591711064343644e-05, + "loss": 0.375, + "step": 19636 + }, + { + "epoch": 0.69, + "learning_rate": 4.4582553061889344e-05, + "loss": 0.4354, + "step": 19637 + }, + { + "epoch": 0.69, + "learning_rate": 4.4573395730170877e-05, + "loss": 0.4601, + "step": 19638 + }, + { + "epoch": 0.69, + "learning_rate": 4.4564239069299075e-05, + "loss": 0.4562, + "step": 19639 + }, + { + "epoch": 0.69, + "learning_rate": 4.455508307938474e-05, + "loss": 0.426, + "step": 19640 + }, + { + "epoch": 0.69, + "learning_rate": 4.4545927760538764e-05, + "loss": 0.3765, + "step": 19641 + }, + { + "epoch": 0.69, + "learning_rate": 4.453677311287192e-05, + "loss": 0.4446, + "step": 19642 + }, + { + "epoch": 0.69, + "learning_rate": 4.452761913649499e-05, + "loss": 0.4249, + "step": 19643 + }, + { + "epoch": 0.69, + "learning_rate": 4.4518465831518795e-05, + "loss": 0.4358, + "step": 19644 + }, + { + "epoch": 0.69, + "learning_rate": 4.450931319805407e-05, + "loss": 0.4851, + "step": 19645 + }, + { + "epoch": 0.69, + "learning_rate": 4.450016123621167e-05, + "loss": 0.4709, + "step": 19646 + }, + { + "epoch": 0.69, + "learning_rate": 4.4491009946102317e-05, + "loss": 0.4032, + "step": 19647 + }, + { + "epoch": 0.69, + "learning_rate": 4.4481859327836783e-05, + "loss": 0.3752, + "step": 19648 + }, + { + "epoch": 0.69, + "learning_rate": 4.447270938152582e-05, + "loss": 0.3667, + "step": 19649 + }, + { + "epoch": 0.69, + "learning_rate": 4.4463560107280134e-05, + "loss": 0.513, + "step": 19650 + }, + { + "epoch": 0.69, + "learning_rate": 4.4454411505210534e-05, + "loss": 0.5272, + "step": 19651 + }, + { + "epoch": 0.69, + "learning_rate": 4.444526357542772e-05, + "loss": 0.4332, + "step": 19652 + }, + { + "epoch": 0.69, + "learning_rate": 4.4436116318042396e-05, + "loss": 0.4593, + "step": 19653 + }, + { + "epoch": 0.69, + "learning_rate": 4.4426969733165294e-05, + "loss": 0.4581, + "step": 19654 + }, + { + "epoch": 0.69, + "learning_rate": 4.441782382090706e-05, + "loss": 0.406, + "step": 19655 + }, + { + "epoch": 0.69, + "learning_rate": 4.4408678581378485e-05, + "loss": 0.3983, + "step": 19656 + }, + { + "epoch": 0.69, + "learning_rate": 4.43995340146902e-05, + "loss": 0.4194, + "step": 19657 + }, + { + "epoch": 0.69, + "learning_rate": 4.43903901209529e-05, + "loss": 0.4671, + "step": 19658 + }, + { + "epoch": 0.69, + "learning_rate": 4.438124690027725e-05, + "loss": 0.4126, + "step": 19659 + }, + { + "epoch": 0.69, + "learning_rate": 4.437210435277388e-05, + "loss": 0.4633, + "step": 19660 + }, + { + "epoch": 0.69, + "learning_rate": 4.4362962478553515e-05, + "loss": 0.4392, + "step": 19661 + }, + { + "epoch": 0.69, + "learning_rate": 4.435382127772677e-05, + "loss": 0.6059, + "step": 19662 + }, + { + "epoch": 0.69, + "learning_rate": 4.434468075040428e-05, + "loss": 0.5245, + "step": 19663 + }, + { + "epoch": 0.69, + "learning_rate": 4.433554089669668e-05, + "loss": 0.4521, + "step": 19664 + }, + { + "epoch": 0.69, + "learning_rate": 4.432640171671455e-05, + "loss": 0.4149, + "step": 19665 + }, + { + "epoch": 0.69, + "learning_rate": 4.4317263210568585e-05, + "loss": 0.4339, + "step": 19666 + }, + { + "epoch": 0.69, + "learning_rate": 4.430812537836934e-05, + "loss": 0.4481, + "step": 19667 + }, + { + "epoch": 0.69, + "learning_rate": 4.429898822022743e-05, + "loss": 0.5585, + "step": 19668 + }, + { + "epoch": 0.69, + "learning_rate": 4.428985173625344e-05, + "loss": 0.5391, + "step": 19669 + }, + { + "epoch": 0.69, + "learning_rate": 4.428071592655795e-05, + "loss": 0.5151, + "step": 19670 + }, + { + "epoch": 0.69, + "learning_rate": 4.42715807912515e-05, + "loss": 0.5103, + "step": 19671 + }, + { + "epoch": 0.69, + "learning_rate": 4.426244633044473e-05, + "loss": 0.4126, + "step": 19672 + }, + { + "epoch": 0.69, + "learning_rate": 4.425331254424815e-05, + "loss": 0.494, + "step": 19673 + }, + { + "epoch": 0.69, + "learning_rate": 4.424417943277232e-05, + "loss": 0.4603, + "step": 19674 + }, + { + "epoch": 0.69, + "learning_rate": 4.423504699612778e-05, + "loss": 0.3622, + "step": 19675 + }, + { + "epoch": 0.69, + "learning_rate": 4.422591523442502e-05, + "loss": 0.4225, + "step": 19676 + }, + { + "epoch": 0.69, + "learning_rate": 4.4216784147774645e-05, + "loss": 0.5121, + "step": 19677 + }, + { + "epoch": 0.69, + "learning_rate": 4.4207653736287135e-05, + "loss": 0.461, + "step": 19678 + }, + { + "epoch": 0.69, + "learning_rate": 4.419852400007299e-05, + "loss": 0.4784, + "step": 19679 + }, + { + "epoch": 0.69, + "learning_rate": 4.418939493924272e-05, + "loss": 0.5112, + "step": 19680 + }, + { + "epoch": 0.69, + "learning_rate": 4.418026655390678e-05, + "loss": 0.4982, + "step": 19681 + }, + { + "epoch": 0.69, + "learning_rate": 4.417113884417572e-05, + "loss": 0.3966, + "step": 19682 + }, + { + "epoch": 0.69, + "learning_rate": 4.416201181015999e-05, + "loss": 0.3477, + "step": 19683 + }, + { + "epoch": 0.69, + "learning_rate": 4.415288545197004e-05, + "loss": 0.4576, + "step": 19684 + }, + { + "epoch": 0.69, + "learning_rate": 4.414375976971634e-05, + "loss": 0.4905, + "step": 19685 + }, + { + "epoch": 0.69, + "learning_rate": 4.413463476350931e-05, + "loss": 0.4928, + "step": 19686 + }, + { + "epoch": 0.69, + "learning_rate": 4.412551043345945e-05, + "loss": 0.4971, + "step": 19687 + }, + { + "epoch": 0.69, + "learning_rate": 4.411638677967718e-05, + "loss": 0.4797, + "step": 19688 + }, + { + "epoch": 0.69, + "learning_rate": 4.410726380227292e-05, + "loss": 0.3864, + "step": 19689 + }, + { + "epoch": 0.69, + "learning_rate": 4.409814150135706e-05, + "loss": 0.4105, + "step": 19690 + }, + { + "epoch": 0.69, + "learning_rate": 4.4089019877040014e-05, + "loss": 0.4723, + "step": 19691 + }, + { + "epoch": 0.69, + "learning_rate": 4.407989892943224e-05, + "loss": 0.4348, + "step": 19692 + }, + { + "epoch": 0.69, + "learning_rate": 4.40707786586441e-05, + "loss": 0.4608, + "step": 19693 + }, + { + "epoch": 0.69, + "learning_rate": 4.4061659064785965e-05, + "loss": 0.4728, + "step": 19694 + }, + { + "epoch": 0.69, + "learning_rate": 4.405254014796822e-05, + "loss": 0.4766, + "step": 19695 + }, + { + "epoch": 0.69, + "learning_rate": 4.404342190830122e-05, + "loss": 0.4797, + "step": 19696 + }, + { + "epoch": 0.69, + "learning_rate": 4.403430434589536e-05, + "loss": 0.4602, + "step": 19697 + }, + { + "epoch": 0.69, + "learning_rate": 4.402518746086098e-05, + "loss": 0.4607, + "step": 19698 + }, + { + "epoch": 0.69, + "learning_rate": 4.4016071253308436e-05, + "loss": 0.5205, + "step": 19699 + }, + { + "epoch": 0.69, + "learning_rate": 4.400695572334803e-05, + "loss": 0.4735, + "step": 19700 + }, + { + "epoch": 0.69, + "learning_rate": 4.399784087109009e-05, + "loss": 0.4772, + "step": 19701 + }, + { + "epoch": 0.69, + "learning_rate": 4.398872669664498e-05, + "loss": 0.4653, + "step": 19702 + }, + { + "epoch": 0.69, + "learning_rate": 4.3979613200122996e-05, + "loss": 0.4306, + "step": 19703 + }, + { + "epoch": 0.69, + "learning_rate": 4.397050038163443e-05, + "loss": 0.4626, + "step": 19704 + }, + { + "epoch": 0.69, + "learning_rate": 4.396138824128958e-05, + "loss": 0.4318, + "step": 19705 + }, + { + "epoch": 0.69, + "learning_rate": 4.395227677919873e-05, + "loss": 0.3652, + "step": 19706 + }, + { + "epoch": 0.69, + "learning_rate": 4.394316599547214e-05, + "loss": 0.3999, + "step": 19707 + }, + { + "epoch": 0.69, + "learning_rate": 4.393405589022013e-05, + "loss": 0.4, + "step": 19708 + }, + { + "epoch": 0.69, + "learning_rate": 4.392494646355294e-05, + "loss": 0.4157, + "step": 19709 + }, + { + "epoch": 0.69, + "learning_rate": 4.391583771558082e-05, + "loss": 0.4573, + "step": 19710 + }, + { + "epoch": 0.69, + "learning_rate": 4.390672964641401e-05, + "loss": 0.5322, + "step": 19711 + }, + { + "epoch": 0.69, + "learning_rate": 4.389762225616273e-05, + "loss": 0.4923, + "step": 19712 + }, + { + "epoch": 0.69, + "learning_rate": 4.388851554493727e-05, + "loss": 0.425, + "step": 19713 + }, + { + "epoch": 0.69, + "learning_rate": 4.387940951284781e-05, + "loss": 0.4972, + "step": 19714 + }, + { + "epoch": 0.69, + "learning_rate": 4.3870304160004575e-05, + "loss": 0.4281, + "step": 19715 + }, + { + "epoch": 0.69, + "learning_rate": 4.3861199486517764e-05, + "loss": 0.5189, + "step": 19716 + }, + { + "epoch": 0.69, + "learning_rate": 4.385209549249755e-05, + "loss": 0.6074, + "step": 19717 + }, + { + "epoch": 0.69, + "learning_rate": 4.3842992178054164e-05, + "loss": 0.4162, + "step": 19718 + }, + { + "epoch": 0.69, + "learning_rate": 4.383388954329778e-05, + "loss": 0.4356, + "step": 19719 + }, + { + "epoch": 0.69, + "learning_rate": 4.3824787588338554e-05, + "loss": 0.5383, + "step": 19720 + }, + { + "epoch": 0.69, + "learning_rate": 4.3815686313286665e-05, + "loss": 0.4349, + "step": 19721 + }, + { + "epoch": 0.69, + "learning_rate": 4.3806585718252213e-05, + "loss": 0.4471, + "step": 19722 + }, + { + "epoch": 0.69, + "learning_rate": 4.379748580334543e-05, + "loss": 0.4566, + "step": 19723 + }, + { + "epoch": 0.69, + "learning_rate": 4.3788386568676424e-05, + "loss": 0.4211, + "step": 19724 + }, + { + "epoch": 0.69, + "learning_rate": 4.3779288014355314e-05, + "loss": 0.4593, + "step": 19725 + }, + { + "epoch": 0.69, + "learning_rate": 4.377019014049223e-05, + "loss": 0.4307, + "step": 19726 + }, + { + "epoch": 0.69, + "learning_rate": 4.376109294719724e-05, + "loss": 0.43, + "step": 19727 + }, + { + "epoch": 0.69, + "learning_rate": 4.375199643458053e-05, + "loss": 0.5153, + "step": 19728 + }, + { + "epoch": 0.69, + "learning_rate": 4.374290060275218e-05, + "loss": 0.4632, + "step": 19729 + }, + { + "epoch": 0.69, + "learning_rate": 4.373380545182225e-05, + "loss": 0.5155, + "step": 19730 + }, + { + "epoch": 0.69, + "learning_rate": 4.372471098190084e-05, + "loss": 0.4941, + "step": 19731 + }, + { + "epoch": 0.69, + "learning_rate": 4.371561719309798e-05, + "loss": 0.4449, + "step": 19732 + }, + { + "epoch": 0.69, + "learning_rate": 4.37065240855238e-05, + "loss": 0.5043, + "step": 19733 + }, + { + "epoch": 0.69, + "learning_rate": 4.369743165928834e-05, + "loss": 0.3933, + "step": 19734 + }, + { + "epoch": 0.69, + "learning_rate": 4.368833991450164e-05, + "loss": 0.4302, + "step": 19735 + }, + { + "epoch": 0.69, + "learning_rate": 4.367924885127375e-05, + "loss": 0.424, + "step": 19736 + }, + { + "epoch": 0.69, + "learning_rate": 4.367015846971467e-05, + "loss": 0.4061, + "step": 19737 + }, + { + "epoch": 0.69, + "learning_rate": 4.366106876993442e-05, + "loss": 0.5618, + "step": 19738 + }, + { + "epoch": 0.69, + "learning_rate": 4.365197975204307e-05, + "loss": 0.5007, + "step": 19739 + }, + { + "epoch": 0.69, + "learning_rate": 4.36428914161506e-05, + "loss": 0.43, + "step": 19740 + }, + { + "epoch": 0.69, + "learning_rate": 4.363380376236701e-05, + "loss": 0.5277, + "step": 19741 + }, + { + "epoch": 0.69, + "learning_rate": 4.362471679080229e-05, + "loss": 0.473, + "step": 19742 + }, + { + "epoch": 0.69, + "learning_rate": 4.3615630501566384e-05, + "loss": 0.4596, + "step": 19743 + }, + { + "epoch": 0.69, + "learning_rate": 4.360654489476934e-05, + "loss": 0.4197, + "step": 19744 + }, + { + "epoch": 0.69, + "learning_rate": 4.359745997052109e-05, + "loss": 0.4821, + "step": 19745 + }, + { + "epoch": 0.69, + "learning_rate": 4.3588375728931586e-05, + "loss": 0.4677, + "step": 19746 + }, + { + "epoch": 0.69, + "learning_rate": 4.3579292170110775e-05, + "loss": 0.4093, + "step": 19747 + }, + { + "epoch": 0.69, + "learning_rate": 4.3570209294168576e-05, + "loss": 0.4712, + "step": 19748 + }, + { + "epoch": 0.69, + "learning_rate": 4.356112710121498e-05, + "loss": 0.5381, + "step": 19749 + }, + { + "epoch": 0.69, + "learning_rate": 4.355204559135989e-05, + "loss": 0.4077, + "step": 19750 + }, + { + "epoch": 0.69, + "learning_rate": 4.354296476471321e-05, + "loss": 0.42, + "step": 19751 + }, + { + "epoch": 0.69, + "learning_rate": 4.353388462138486e-05, + "loss": 0.515, + "step": 19752 + }, + { + "epoch": 0.69, + "learning_rate": 4.352480516148469e-05, + "loss": 0.427, + "step": 19753 + }, + { + "epoch": 0.69, + "learning_rate": 4.351572638512271e-05, + "loss": 0.4368, + "step": 19754 + }, + { + "epoch": 0.69, + "learning_rate": 4.3506648292408695e-05, + "loss": 0.4457, + "step": 19755 + }, + { + "epoch": 0.69, + "learning_rate": 4.3497570883452545e-05, + "loss": 0.4292, + "step": 19756 + }, + { + "epoch": 0.69, + "learning_rate": 4.3488494158364105e-05, + "loss": 0.473, + "step": 19757 + }, + { + "epoch": 0.69, + "learning_rate": 4.34794181172533e-05, + "loss": 0.4075, + "step": 19758 + }, + { + "epoch": 0.69, + "learning_rate": 4.3470342760229944e-05, + "loss": 0.4537, + "step": 19759 + }, + { + "epoch": 0.69, + "learning_rate": 4.3461268087403876e-05, + "loss": 0.4723, + "step": 19760 + }, + { + "epoch": 0.69, + "learning_rate": 4.345219409888494e-05, + "loss": 0.4075, + "step": 19761 + }, + { + "epoch": 0.69, + "learning_rate": 4.344312079478291e-05, + "loss": 0.4086, + "step": 19762 + }, + { + "epoch": 0.69, + "learning_rate": 4.3434048175207683e-05, + "loss": 0.4598, + "step": 19763 + }, + { + "epoch": 0.69, + "learning_rate": 4.342497624026903e-05, + "loss": 0.3866, + "step": 19764 + }, + { + "epoch": 0.69, + "learning_rate": 4.341590499007677e-05, + "loss": 0.3727, + "step": 19765 + }, + { + "epoch": 0.69, + "learning_rate": 4.340683442474067e-05, + "loss": 0.5046, + "step": 19766 + }, + { + "epoch": 0.69, + "learning_rate": 4.339776454437049e-05, + "loss": 0.4151, + "step": 19767 + }, + { + "epoch": 0.69, + "learning_rate": 4.338869534907608e-05, + "loss": 0.4655, + "step": 19768 + }, + { + "epoch": 0.69, + "learning_rate": 4.337962683896716e-05, + "loss": 0.5576, + "step": 19769 + }, + { + "epoch": 0.69, + "learning_rate": 4.33705590141535e-05, + "loss": 0.4376, + "step": 19770 + }, + { + "epoch": 0.69, + "learning_rate": 4.3361491874744853e-05, + "loss": 0.5137, + "step": 19771 + }, + { + "epoch": 0.69, + "learning_rate": 4.335242542085094e-05, + "loss": 0.5019, + "step": 19772 + }, + { + "epoch": 0.69, + "learning_rate": 4.3343359652581495e-05, + "loss": 0.4236, + "step": 19773 + }, + { + "epoch": 0.69, + "learning_rate": 4.333429457004629e-05, + "loss": 0.4885, + "step": 19774 + }, + { + "epoch": 0.69, + "learning_rate": 4.3325230173355e-05, + "loss": 0.4132, + "step": 19775 + }, + { + "epoch": 0.69, + "learning_rate": 4.3316166462617355e-05, + "loss": 0.4228, + "step": 19776 + }, + { + "epoch": 0.69, + "learning_rate": 4.330710343794305e-05, + "loss": 0.4097, + "step": 19777 + }, + { + "epoch": 0.69, + "learning_rate": 4.3298041099441746e-05, + "loss": 0.3497, + "step": 19778 + }, + { + "epoch": 0.69, + "learning_rate": 4.3288979447223185e-05, + "loss": 0.4583, + "step": 19779 + }, + { + "epoch": 0.69, + "learning_rate": 4.327991848139702e-05, + "loss": 0.4424, + "step": 19780 + }, + { + "epoch": 0.69, + "learning_rate": 4.3270858202072914e-05, + "loss": 0.4745, + "step": 19781 + }, + { + "epoch": 0.69, + "learning_rate": 4.3261798609360524e-05, + "loss": 0.3684, + "step": 19782 + }, + { + "epoch": 0.69, + "learning_rate": 4.325273970336947e-05, + "loss": 0.4683, + "step": 19783 + }, + { + "epoch": 0.69, + "learning_rate": 4.3243681484209476e-05, + "loss": 0.4553, + "step": 19784 + }, + { + "epoch": 0.69, + "learning_rate": 4.323462395199012e-05, + "loss": 0.5037, + "step": 19785 + }, + { + "epoch": 0.69, + "learning_rate": 4.3225567106821044e-05, + "loss": 0.4468, + "step": 19786 + }, + { + "epoch": 0.69, + "learning_rate": 4.321651094881186e-05, + "loss": 0.5117, + "step": 19787 + }, + { + "epoch": 0.69, + "learning_rate": 4.320745547807214e-05, + "loss": 0.4787, + "step": 19788 + }, + { + "epoch": 0.69, + "learning_rate": 4.319840069471156e-05, + "loss": 0.48, + "step": 19789 + }, + { + "epoch": 0.69, + "learning_rate": 4.318934659883967e-05, + "loss": 0.3904, + "step": 19790 + }, + { + "epoch": 0.69, + "learning_rate": 4.318029319056607e-05, + "loss": 0.3754, + "step": 19791 + }, + { + "epoch": 0.69, + "learning_rate": 4.317124047000033e-05, + "loss": 0.471, + "step": 19792 + }, + { + "epoch": 0.69, + "learning_rate": 4.316218843725197e-05, + "loss": 0.4262, + "step": 19793 + }, + { + "epoch": 0.69, + "learning_rate": 4.3153137092430654e-05, + "loss": 0.4748, + "step": 19794 + }, + { + "epoch": 0.69, + "learning_rate": 4.314408643564585e-05, + "loss": 0.4959, + "step": 19795 + }, + { + "epoch": 0.69, + "learning_rate": 4.313503646700714e-05, + "loss": 0.503, + "step": 19796 + }, + { + "epoch": 0.69, + "learning_rate": 4.3125987186624036e-05, + "loss": 0.4153, + "step": 19797 + }, + { + "epoch": 0.69, + "learning_rate": 4.311693859460605e-05, + "loss": 0.407, + "step": 19798 + }, + { + "epoch": 0.69, + "learning_rate": 4.310789069106276e-05, + "loss": 0.4423, + "step": 19799 + }, + { + "epoch": 0.69, + "learning_rate": 4.3098843476103626e-05, + "loss": 0.4313, + "step": 19800 + }, + { + "epoch": 0.69, + "eval_loss": 0.4471443295478821, + "eval_runtime": 856.0559, + "eval_samples_per_second": 28.106, + "eval_steps_per_second": 14.053, + "step": 19800 + }, + { + "epoch": 0.69, + "learning_rate": 4.308979694983817e-05, + "loss": 0.4578, + "step": 19801 + }, + { + "epoch": 0.69, + "learning_rate": 4.308075111237588e-05, + "loss": 0.4219, + "step": 19802 + }, + { + "epoch": 0.69, + "learning_rate": 4.3071705963826204e-05, + "loss": 0.4522, + "step": 19803 + }, + { + "epoch": 0.69, + "learning_rate": 4.306266150429869e-05, + "loss": 0.4588, + "step": 19804 + }, + { + "epoch": 0.69, + "learning_rate": 4.305361773390276e-05, + "loss": 0.4452, + "step": 19805 + }, + { + "epoch": 0.69, + "learning_rate": 4.3044574652747896e-05, + "loss": 0.4615, + "step": 19806 + }, + { + "epoch": 0.69, + "learning_rate": 4.303553226094352e-05, + "loss": 0.459, + "step": 19807 + }, + { + "epoch": 0.69, + "learning_rate": 4.302649055859911e-05, + "loss": 0.4766, + "step": 19808 + }, + { + "epoch": 0.69, + "learning_rate": 4.301744954582404e-05, + "loss": 0.4845, + "step": 19809 + }, + { + "epoch": 0.69, + "learning_rate": 4.3008409222727806e-05, + "loss": 0.4904, + "step": 19810 + }, + { + "epoch": 0.69, + "learning_rate": 4.299936958941981e-05, + "loss": 0.4124, + "step": 19811 + }, + { + "epoch": 0.69, + "learning_rate": 4.2990330646009446e-05, + "loss": 0.4263, + "step": 19812 + }, + { + "epoch": 0.69, + "learning_rate": 4.298129239260612e-05, + "loss": 0.4536, + "step": 19813 + }, + { + "epoch": 0.69, + "learning_rate": 4.2972254829319194e-05, + "loss": 0.5284, + "step": 19814 + }, + { + "epoch": 0.69, + "learning_rate": 4.296321795625812e-05, + "loss": 0.482, + "step": 19815 + }, + { + "epoch": 0.69, + "learning_rate": 4.295418177353223e-05, + "loss": 0.4532, + "step": 19816 + }, + { + "epoch": 0.69, + "learning_rate": 4.2945146281250916e-05, + "loss": 0.4449, + "step": 19817 + }, + { + "epoch": 0.69, + "learning_rate": 4.29361114795235e-05, + "loss": 0.4773, + "step": 19818 + }, + { + "epoch": 0.69, + "learning_rate": 4.2927077368459334e-05, + "loss": 0.4394, + "step": 19819 + }, + { + "epoch": 0.69, + "learning_rate": 4.291804394816781e-05, + "loss": 0.441, + "step": 19820 + }, + { + "epoch": 0.69, + "learning_rate": 4.2909011218758234e-05, + "loss": 0.5325, + "step": 19821 + }, + { + "epoch": 0.69, + "learning_rate": 4.289997918033993e-05, + "loss": 0.4519, + "step": 19822 + }, + { + "epoch": 0.69, + "learning_rate": 4.289094783302223e-05, + "loss": 0.4386, + "step": 19823 + }, + { + "epoch": 0.69, + "learning_rate": 4.2881917176914385e-05, + "loss": 0.5086, + "step": 19824 + }, + { + "epoch": 0.69, + "learning_rate": 4.287288721212578e-05, + "loss": 0.4478, + "step": 19825 + }, + { + "epoch": 0.69, + "learning_rate": 4.286385793876567e-05, + "loss": 0.4344, + "step": 19826 + }, + { + "epoch": 0.69, + "learning_rate": 4.285482935694335e-05, + "loss": 0.4525, + "step": 19827 + }, + { + "epoch": 0.69, + "learning_rate": 4.2845801466768075e-05, + "loss": 0.457, + "step": 19828 + }, + { + "epoch": 0.69, + "learning_rate": 4.283677426834909e-05, + "loss": 0.4585, + "step": 19829 + }, + { + "epoch": 0.69, + "learning_rate": 4.282774776179572e-05, + "loss": 0.4299, + "step": 19830 + }, + { + "epoch": 0.69, + "learning_rate": 4.281872194721718e-05, + "loss": 0.4483, + "step": 19831 + }, + { + "epoch": 0.69, + "learning_rate": 4.280969682472272e-05, + "loss": 0.4305, + "step": 19832 + }, + { + "epoch": 0.69, + "learning_rate": 4.280067239442157e-05, + "loss": 0.452, + "step": 19833 + }, + { + "epoch": 0.69, + "learning_rate": 4.2791648656422924e-05, + "loss": 0.537, + "step": 19834 + }, + { + "epoch": 0.69, + "learning_rate": 4.2782625610836056e-05, + "loss": 0.3853, + "step": 19835 + }, + { + "epoch": 0.69, + "learning_rate": 4.277360325777016e-05, + "loss": 0.5445, + "step": 19836 + }, + { + "epoch": 0.69, + "learning_rate": 4.2764581597334406e-05, + "loss": 0.4875, + "step": 19837 + }, + { + "epoch": 0.69, + "learning_rate": 4.275556062963802e-05, + "loss": 0.3891, + "step": 19838 + }, + { + "epoch": 0.69, + "learning_rate": 4.2746540354790176e-05, + "loss": 0.4104, + "step": 19839 + }, + { + "epoch": 0.69, + "learning_rate": 4.273752077290001e-05, + "loss": 0.4229, + "step": 19840 + }, + { + "epoch": 0.69, + "learning_rate": 4.272850188407675e-05, + "loss": 0.4025, + "step": 19841 + }, + { + "epoch": 0.69, + "learning_rate": 4.271948368842954e-05, + "loss": 0.4828, + "step": 19842 + }, + { + "epoch": 0.69, + "learning_rate": 4.271046618606751e-05, + "loss": 0.4862, + "step": 19843 + }, + { + "epoch": 0.69, + "learning_rate": 4.270144937709981e-05, + "loss": 0.4336, + "step": 19844 + }, + { + "epoch": 0.69, + "learning_rate": 4.269243326163554e-05, + "loss": 0.4865, + "step": 19845 + }, + { + "epoch": 0.69, + "learning_rate": 4.26834178397839e-05, + "loss": 0.4469, + "step": 19846 + }, + { + "epoch": 0.69, + "learning_rate": 4.267440311165397e-05, + "loss": 0.3517, + "step": 19847 + }, + { + "epoch": 0.69, + "learning_rate": 4.2665389077354847e-05, + "loss": 0.48, + "step": 19848 + }, + { + "epoch": 0.69, + "learning_rate": 4.2656375736995634e-05, + "loss": 0.3805, + "step": 19849 + }, + { + "epoch": 0.69, + "learning_rate": 4.26473630906854e-05, + "loss": 0.4986, + "step": 19850 + }, + { + "epoch": 0.69, + "learning_rate": 4.2638351138533296e-05, + "loss": 0.526, + "step": 19851 + }, + { + "epoch": 0.69, + "learning_rate": 4.2629339880648346e-05, + "loss": 0.3907, + "step": 19852 + }, + { + "epoch": 0.69, + "learning_rate": 4.262032931713962e-05, + "loss": 0.4863, + "step": 19853 + }, + { + "epoch": 0.69, + "learning_rate": 4.2611319448116196e-05, + "loss": 0.3915, + "step": 19854 + }, + { + "epoch": 0.69, + "learning_rate": 4.260231027368705e-05, + "loss": 0.4956, + "step": 19855 + }, + { + "epoch": 0.69, + "learning_rate": 4.259330179396134e-05, + "loss": 0.4049, + "step": 19856 + }, + { + "epoch": 0.69, + "learning_rate": 4.258429400904803e-05, + "loss": 0.4254, + "step": 19857 + }, + { + "epoch": 0.69, + "learning_rate": 4.257528691905616e-05, + "loss": 0.3976, + "step": 19858 + }, + { + "epoch": 0.69, + "learning_rate": 4.2566280524094736e-05, + "loss": 0.4237, + "step": 19859 + }, + { + "epoch": 0.69, + "learning_rate": 4.255727482427274e-05, + "loss": 0.5381, + "step": 19860 + }, + { + "epoch": 0.7, + "learning_rate": 4.254826981969924e-05, + "loss": 0.481, + "step": 19861 + }, + { + "epoch": 0.7, + "learning_rate": 4.2539265510483175e-05, + "loss": 0.396, + "step": 19862 + }, + { + "epoch": 0.7, + "learning_rate": 4.253026189673355e-05, + "loss": 0.439, + "step": 19863 + }, + { + "epoch": 0.7, + "learning_rate": 4.252125897855932e-05, + "loss": 0.5432, + "step": 19864 + }, + { + "epoch": 0.7, + "learning_rate": 4.251225675606944e-05, + "loss": 0.4997, + "step": 19865 + }, + { + "epoch": 0.7, + "learning_rate": 4.25032552293729e-05, + "loss": 0.6141, + "step": 19866 + }, + { + "epoch": 0.7, + "learning_rate": 4.249425439857865e-05, + "loss": 0.5287, + "step": 19867 + }, + { + "epoch": 0.7, + "learning_rate": 4.24852542637956e-05, + "loss": 0.3819, + "step": 19868 + }, + { + "epoch": 0.7, + "learning_rate": 4.247625482513271e-05, + "loss": 0.4397, + "step": 19869 + }, + { + "epoch": 0.7, + "learning_rate": 4.246725608269885e-05, + "loss": 0.4415, + "step": 19870 + }, + { + "epoch": 0.7, + "learning_rate": 4.2458258036603e-05, + "loss": 0.4521, + "step": 19871 + }, + { + "epoch": 0.7, + "learning_rate": 4.244926068695405e-05, + "loss": 0.4812, + "step": 19872 + }, + { + "epoch": 0.7, + "learning_rate": 4.244026403386089e-05, + "loss": 0.4654, + "step": 19873 + }, + { + "epoch": 0.7, + "learning_rate": 4.24312680774324e-05, + "loss": 0.4241, + "step": 19874 + }, + { + "epoch": 0.7, + "learning_rate": 4.242227281777748e-05, + "loss": 0.4628, + "step": 19875 + }, + { + "epoch": 0.7, + "learning_rate": 4.241327825500494e-05, + "loss": 0.4642, + "step": 19876 + }, + { + "epoch": 0.7, + "learning_rate": 4.2404284389223734e-05, + "loss": 0.4372, + "step": 19877 + }, + { + "epoch": 0.7, + "learning_rate": 4.2395291220542686e-05, + "loss": 0.4101, + "step": 19878 + }, + { + "epoch": 0.7, + "learning_rate": 4.238629874907064e-05, + "loss": 0.5927, + "step": 19879 + }, + { + "epoch": 0.7, + "learning_rate": 4.237730697491642e-05, + "loss": 0.4586, + "step": 19880 + }, + { + "epoch": 0.7, + "learning_rate": 4.236831589818884e-05, + "loss": 0.4699, + "step": 19881 + }, + { + "epoch": 0.7, + "learning_rate": 4.2359325518996787e-05, + "loss": 0.4563, + "step": 19882 + }, + { + "epoch": 0.7, + "learning_rate": 4.235033583744904e-05, + "loss": 0.4638, + "step": 19883 + }, + { + "epoch": 0.7, + "learning_rate": 4.234134685365439e-05, + "loss": 0.5086, + "step": 19884 + }, + { + "epoch": 0.7, + "learning_rate": 4.233235856772165e-05, + "loss": 0.4701, + "step": 19885 + }, + { + "epoch": 0.7, + "learning_rate": 4.232337097975957e-05, + "loss": 0.4329, + "step": 19886 + }, + { + "epoch": 0.7, + "learning_rate": 4.2314384089877005e-05, + "loss": 0.4495, + "step": 19887 + }, + { + "epoch": 0.7, + "learning_rate": 4.230539789818271e-05, + "loss": 0.4572, + "step": 19888 + }, + { + "epoch": 0.7, + "learning_rate": 4.2296412404785394e-05, + "loss": 0.4213, + "step": 19889 + }, + { + "epoch": 0.7, + "learning_rate": 4.2287427609793796e-05, + "loss": 0.4685, + "step": 19890 + }, + { + "epoch": 0.7, + "learning_rate": 4.227844351331675e-05, + "loss": 0.4079, + "step": 19891 + }, + { + "epoch": 0.7, + "learning_rate": 4.226946011546295e-05, + "loss": 0.4337, + "step": 19892 + }, + { + "epoch": 0.7, + "learning_rate": 4.226047741634112e-05, + "loss": 0.4601, + "step": 19893 + }, + { + "epoch": 0.7, + "learning_rate": 4.225149541605998e-05, + "loss": 0.3995, + "step": 19894 + }, + { + "epoch": 0.7, + "learning_rate": 4.224251411472821e-05, + "loss": 0.4391, + "step": 19895 + }, + { + "epoch": 0.7, + "learning_rate": 4.2233533512454606e-05, + "loss": 0.5096, + "step": 19896 + }, + { + "epoch": 0.7, + "learning_rate": 4.222455360934779e-05, + "loss": 0.5377, + "step": 19897 + }, + { + "epoch": 0.7, + "learning_rate": 4.221557440551648e-05, + "loss": 0.3958, + "step": 19898 + }, + { + "epoch": 0.7, + "learning_rate": 4.2206595901069336e-05, + "loss": 0.4574, + "step": 19899 + }, + { + "epoch": 0.7, + "learning_rate": 4.219761809611499e-05, + "loss": 0.411, + "step": 19900 + }, + { + "epoch": 0.7, + "learning_rate": 4.218864099076219e-05, + "loss": 0.3748, + "step": 19901 + }, + { + "epoch": 0.7, + "learning_rate": 4.217966458511954e-05, + "loss": 0.4944, + "step": 19902 + }, + { + "epoch": 0.7, + "learning_rate": 4.2170688879295693e-05, + "loss": 0.5148, + "step": 19903 + }, + { + "epoch": 0.7, + "learning_rate": 4.2161713873399276e-05, + "loss": 0.4238, + "step": 19904 + }, + { + "epoch": 0.7, + "learning_rate": 4.215273956753889e-05, + "loss": 0.502, + "step": 19905 + }, + { + "epoch": 0.7, + "learning_rate": 4.2143765961823224e-05, + "loss": 0.4973, + "step": 19906 + }, + { + "epoch": 0.7, + "learning_rate": 4.213479305636086e-05, + "loss": 0.4308, + "step": 19907 + }, + { + "epoch": 0.7, + "learning_rate": 4.212582085126038e-05, + "loss": 0.4321, + "step": 19908 + }, + { + "epoch": 0.7, + "learning_rate": 4.211684934663038e-05, + "loss": 0.439, + "step": 19909 + }, + { + "epoch": 0.7, + "learning_rate": 4.2107878542579474e-05, + "loss": 0.4579, + "step": 19910 + }, + { + "epoch": 0.7, + "learning_rate": 4.209890843921617e-05, + "loss": 0.5307, + "step": 19911 + }, + { + "epoch": 0.7, + "learning_rate": 4.2089939036649115e-05, + "loss": 0.4455, + "step": 19912 + }, + { + "epoch": 0.7, + "learning_rate": 4.2080970334986843e-05, + "loss": 0.3866, + "step": 19913 + }, + { + "epoch": 0.7, + "learning_rate": 4.20720023343379e-05, + "loss": 0.5566, + "step": 19914 + }, + { + "epoch": 0.7, + "learning_rate": 4.206303503481084e-05, + "loss": 0.4153, + "step": 19915 + }, + { + "epoch": 0.7, + "learning_rate": 4.205406843651414e-05, + "loss": 0.4388, + "step": 19916 + }, + { + "epoch": 0.7, + "learning_rate": 4.20451025395564e-05, + "loss": 0.4611, + "step": 19917 + }, + { + "epoch": 0.7, + "learning_rate": 4.2036137344046125e-05, + "loss": 0.433, + "step": 19918 + }, + { + "epoch": 0.7, + "learning_rate": 4.2027172850091786e-05, + "loss": 0.4603, + "step": 19919 + }, + { + "epoch": 0.7, + "learning_rate": 4.201820905780193e-05, + "loss": 0.5258, + "step": 19920 + }, + { + "epoch": 0.7, + "learning_rate": 4.200924596728497e-05, + "loss": 0.4779, + "step": 19921 + }, + { + "epoch": 0.7, + "learning_rate": 4.200028357864949e-05, + "loss": 0.5071, + "step": 19922 + }, + { + "epoch": 0.7, + "learning_rate": 4.199132189200391e-05, + "loss": 0.5954, + "step": 19923 + }, + { + "epoch": 0.7, + "learning_rate": 4.198236090745671e-05, + "loss": 0.5059, + "step": 19924 + }, + { + "epoch": 0.7, + "learning_rate": 4.197340062511633e-05, + "loss": 0.4747, + "step": 19925 + }, + { + "epoch": 0.7, + "learning_rate": 4.196444104509121e-05, + "loss": 0.4356, + "step": 19926 + }, + { + "epoch": 0.7, + "learning_rate": 4.195548216748985e-05, + "loss": 0.4604, + "step": 19927 + }, + { + "epoch": 0.7, + "learning_rate": 4.194652399242063e-05, + "loss": 0.5631, + "step": 19928 + }, + { + "epoch": 0.7, + "learning_rate": 4.1937566519992e-05, + "loss": 0.455, + "step": 19929 + }, + { + "epoch": 0.7, + "learning_rate": 4.192860975031235e-05, + "loss": 0.4298, + "step": 19930 + }, + { + "epoch": 0.7, + "learning_rate": 4.191965368349008e-05, + "loss": 0.4273, + "step": 19931 + }, + { + "epoch": 0.7, + "learning_rate": 4.1910698319633635e-05, + "loss": 0.4863, + "step": 19932 + }, + { + "epoch": 0.7, + "learning_rate": 4.190174365885138e-05, + "loss": 0.4851, + "step": 19933 + }, + { + "epoch": 0.7, + "learning_rate": 4.189278970125169e-05, + "loss": 0.5441, + "step": 19934 + }, + { + "epoch": 0.7, + "learning_rate": 4.188383644694295e-05, + "loss": 0.4363, + "step": 19935 + }, + { + "epoch": 0.7, + "learning_rate": 4.187488389603348e-05, + "loss": 0.4482, + "step": 19936 + }, + { + "epoch": 0.7, + "learning_rate": 4.186593204863171e-05, + "loss": 0.478, + "step": 19937 + }, + { + "epoch": 0.7, + "learning_rate": 4.1856980904845935e-05, + "loss": 0.4391, + "step": 19938 + }, + { + "epoch": 0.7, + "learning_rate": 4.1848030464784514e-05, + "loss": 0.4012, + "step": 19939 + }, + { + "epoch": 0.7, + "learning_rate": 4.183908072855578e-05, + "loss": 0.4457, + "step": 19940 + }, + { + "epoch": 0.7, + "learning_rate": 4.183013169626804e-05, + "loss": 0.4251, + "step": 19941 + }, + { + "epoch": 0.7, + "learning_rate": 4.1821183368029573e-05, + "loss": 0.409, + "step": 19942 + }, + { + "epoch": 0.7, + "learning_rate": 4.1812235743948755e-05, + "loss": 0.4849, + "step": 19943 + }, + { + "epoch": 0.7, + "learning_rate": 4.1803288824133866e-05, + "loss": 0.4664, + "step": 19944 + }, + { + "epoch": 0.7, + "learning_rate": 4.179434260869317e-05, + "loss": 0.484, + "step": 19945 + }, + { + "epoch": 0.7, + "learning_rate": 4.178539709773496e-05, + "loss": 0.5454, + "step": 19946 + }, + { + "epoch": 0.7, + "learning_rate": 4.177645229136745e-05, + "loss": 0.4759, + "step": 19947 + }, + { + "epoch": 0.7, + "learning_rate": 4.1767508189699e-05, + "loss": 0.3658, + "step": 19948 + }, + { + "epoch": 0.7, + "learning_rate": 4.175856479283782e-05, + "loss": 0.5391, + "step": 19949 + }, + { + "epoch": 0.7, + "learning_rate": 4.174962210089214e-05, + "loss": 0.5499, + "step": 19950 + }, + { + "epoch": 0.7, + "learning_rate": 4.174068011397021e-05, + "loss": 0.4107, + "step": 19951 + }, + { + "epoch": 0.7, + "learning_rate": 4.173173883218022e-05, + "loss": 0.4097, + "step": 19952 + }, + { + "epoch": 0.7, + "learning_rate": 4.172279825563047e-05, + "loss": 0.4191, + "step": 19953 + }, + { + "epoch": 0.7, + "learning_rate": 4.171385838442911e-05, + "loss": 0.5271, + "step": 19954 + }, + { + "epoch": 0.7, + "learning_rate": 4.170491921868437e-05, + "loss": 0.5277, + "step": 19955 + }, + { + "epoch": 0.7, + "learning_rate": 4.169598075850442e-05, + "loss": 0.441, + "step": 19956 + }, + { + "epoch": 0.7, + "learning_rate": 4.1687043003997426e-05, + "loss": 0.4292, + "step": 19957 + }, + { + "epoch": 0.7, + "learning_rate": 4.167810595527163e-05, + "loss": 0.5154, + "step": 19958 + }, + { + "epoch": 0.7, + "learning_rate": 4.1669169612435164e-05, + "loss": 0.3791, + "step": 19959 + }, + { + "epoch": 0.7, + "learning_rate": 4.16602339755962e-05, + "loss": 0.4027, + "step": 19960 + }, + { + "epoch": 0.7, + "learning_rate": 4.165129904486286e-05, + "loss": 0.5091, + "step": 19961 + }, + { + "epoch": 0.7, + "learning_rate": 4.164236482034327e-05, + "loss": 0.4974, + "step": 19962 + }, + { + "epoch": 0.7, + "learning_rate": 4.163343130214564e-05, + "loss": 0.4912, + "step": 19963 + }, + { + "epoch": 0.7, + "learning_rate": 4.162449849037806e-05, + "loss": 0.4699, + "step": 19964 + }, + { + "epoch": 0.7, + "learning_rate": 4.161556638514863e-05, + "loss": 0.4814, + "step": 19965 + }, + { + "epoch": 0.7, + "learning_rate": 4.160663498656547e-05, + "loss": 0.4308, + "step": 19966 + }, + { + "epoch": 0.7, + "learning_rate": 4.159770429473665e-05, + "loss": 0.4226, + "step": 19967 + }, + { + "epoch": 0.7, + "learning_rate": 4.1588774309770316e-05, + "loss": 0.4531, + "step": 19968 + }, + { + "epoch": 0.7, + "learning_rate": 4.1579845031774524e-05, + "loss": 0.4222, + "step": 19969 + }, + { + "epoch": 0.7, + "learning_rate": 4.1570916460857354e-05, + "loss": 0.4995, + "step": 19970 + }, + { + "epoch": 0.7, + "learning_rate": 4.1561988597126854e-05, + "loss": 0.4312, + "step": 19971 + }, + { + "epoch": 0.7, + "learning_rate": 4.155306144069111e-05, + "loss": 0.4486, + "step": 19972 + }, + { + "epoch": 0.7, + "learning_rate": 4.1544134991658104e-05, + "loss": 0.4854, + "step": 19973 + }, + { + "epoch": 0.7, + "learning_rate": 4.1535209250135964e-05, + "loss": 0.4424, + "step": 19974 + }, + { + "epoch": 0.7, + "learning_rate": 4.1526284216232684e-05, + "loss": 0.5187, + "step": 19975 + }, + { + "epoch": 0.7, + "learning_rate": 4.1517359890056276e-05, + "loss": 0.474, + "step": 19976 + }, + { + "epoch": 0.7, + "learning_rate": 4.1508436271714755e-05, + "loss": 0.5142, + "step": 19977 + }, + { + "epoch": 0.7, + "learning_rate": 4.1499513361316114e-05, + "loss": 0.5056, + "step": 19978 + }, + { + "epoch": 0.7, + "learning_rate": 4.149059115896841e-05, + "loss": 0.5042, + "step": 19979 + }, + { + "epoch": 0.7, + "learning_rate": 4.148166966477957e-05, + "loss": 0.4721, + "step": 19980 + }, + { + "epoch": 0.7, + "learning_rate": 4.147274887885761e-05, + "loss": 0.4347, + "step": 19981 + }, + { + "epoch": 0.7, + "learning_rate": 4.146382880131049e-05, + "loss": 0.4582, + "step": 19982 + }, + { + "epoch": 0.7, + "learning_rate": 4.1454909432246124e-05, + "loss": 0.5147, + "step": 19983 + }, + { + "epoch": 0.7, + "learning_rate": 4.144599077177255e-05, + "loss": 0.4251, + "step": 19984 + }, + { + "epoch": 0.7, + "learning_rate": 4.143707281999767e-05, + "loss": 0.5027, + "step": 19985 + }, + { + "epoch": 0.7, + "learning_rate": 4.1428155577029426e-05, + "loss": 0.3796, + "step": 19986 + }, + { + "epoch": 0.7, + "learning_rate": 4.141923904297575e-05, + "loss": 0.3873, + "step": 19987 + }, + { + "epoch": 0.7, + "learning_rate": 4.141032321794453e-05, + "loss": 0.4269, + "step": 19988 + }, + { + "epoch": 0.7, + "learning_rate": 4.140140810204373e-05, + "loss": 0.4968, + "step": 19989 + }, + { + "epoch": 0.7, + "learning_rate": 4.139249369538123e-05, + "loss": 0.4415, + "step": 19990 + }, + { + "epoch": 0.7, + "learning_rate": 4.1383579998064916e-05, + "loss": 0.4345, + "step": 19991 + }, + { + "epoch": 0.7, + "learning_rate": 4.1374667010202687e-05, + "loss": 0.4559, + "step": 19992 + }, + { + "epoch": 0.7, + "learning_rate": 4.1365754731902376e-05, + "loss": 0.3816, + "step": 19993 + }, + { + "epoch": 0.7, + "learning_rate": 4.135684316327191e-05, + "loss": 0.4378, + "step": 19994 + }, + { + "epoch": 0.7, + "learning_rate": 4.1347932304419134e-05, + "loss": 0.3124, + "step": 19995 + }, + { + "epoch": 0.7, + "learning_rate": 4.133902215545189e-05, + "loss": 0.4063, + "step": 19996 + }, + { + "epoch": 0.7, + "learning_rate": 4.133011271647803e-05, + "loss": 0.3971, + "step": 19997 + }, + { + "epoch": 0.7, + "learning_rate": 4.132120398760533e-05, + "loss": 0.5209, + "step": 19998 + }, + { + "epoch": 0.7, + "learning_rate": 4.1312295968941704e-05, + "loss": 0.4294, + "step": 19999 + }, + { + "epoch": 0.7, + "learning_rate": 4.130338866059493e-05, + "loss": 0.4353, + "step": 20000 + }, + { + "epoch": 0.7, + "eval_loss": 0.4445178806781769, + "eval_runtime": 851.846, + "eval_samples_per_second": 28.245, + "eval_steps_per_second": 14.122, + "step": 20000 + }, + { + "epoch": 0.7, + "learning_rate": 4.129448206267282e-05, + "loss": 0.5116, + "step": 20001 + }, + { + "epoch": 0.7, + "learning_rate": 4.1285576175283166e-05, + "loss": 0.4967, + "step": 20002 + }, + { + "epoch": 0.7, + "learning_rate": 4.127667099853373e-05, + "loss": 0.3923, + "step": 20003 + }, + { + "epoch": 0.7, + "learning_rate": 4.126776653253236e-05, + "loss": 0.4556, + "step": 20004 + }, + { + "epoch": 0.7, + "learning_rate": 4.1258862777386797e-05, + "loss": 0.5023, + "step": 20005 + }, + { + "epoch": 0.7, + "learning_rate": 4.12499597332048e-05, + "loss": 0.4336, + "step": 20006 + }, + { + "epoch": 0.7, + "learning_rate": 4.124105740009414e-05, + "loss": 0.4596, + "step": 20007 + }, + { + "epoch": 0.7, + "learning_rate": 4.123215577816254e-05, + "loss": 0.4605, + "step": 20008 + }, + { + "epoch": 0.7, + "learning_rate": 4.122325486751774e-05, + "loss": 0.4865, + "step": 20009 + }, + { + "epoch": 0.7, + "learning_rate": 4.1214354668267495e-05, + "loss": 0.467, + "step": 20010 + }, + { + "epoch": 0.7, + "learning_rate": 4.1205455180519534e-05, + "loss": 0.4352, + "step": 20011 + }, + { + "epoch": 0.7, + "learning_rate": 4.1196556404381556e-05, + "loss": 0.5359, + "step": 20012 + }, + { + "epoch": 0.7, + "learning_rate": 4.118765833996126e-05, + "loss": 0.4342, + "step": 20013 + }, + { + "epoch": 0.7, + "learning_rate": 4.1178760987366307e-05, + "loss": 0.4412, + "step": 20014 + }, + { + "epoch": 0.7, + "learning_rate": 4.116986434670446e-05, + "loss": 0.459, + "step": 20015 + }, + { + "epoch": 0.7, + "learning_rate": 4.116096841808337e-05, + "loss": 0.5077, + "step": 20016 + }, + { + "epoch": 0.7, + "learning_rate": 4.115207320161069e-05, + "loss": 0.4664, + "step": 20017 + }, + { + "epoch": 0.7, + "learning_rate": 4.114317869739409e-05, + "loss": 0.4852, + "step": 20018 + }, + { + "epoch": 0.7, + "learning_rate": 4.11342849055412e-05, + "loss": 0.4368, + "step": 20019 + }, + { + "epoch": 0.7, + "learning_rate": 4.112539182615971e-05, + "loss": 0.3917, + "step": 20020 + }, + { + "epoch": 0.7, + "learning_rate": 4.111649945935724e-05, + "loss": 0.4336, + "step": 20021 + }, + { + "epoch": 0.7, + "learning_rate": 4.110760780524141e-05, + "loss": 0.4814, + "step": 20022 + }, + { + "epoch": 0.7, + "learning_rate": 4.109871686391985e-05, + "loss": 0.3743, + "step": 20023 + }, + { + "epoch": 0.7, + "learning_rate": 4.108982663550015e-05, + "loss": 0.4634, + "step": 20024 + }, + { + "epoch": 0.7, + "learning_rate": 4.108093712008992e-05, + "loss": 0.5054, + "step": 20025 + }, + { + "epoch": 0.7, + "learning_rate": 4.107204831779676e-05, + "loss": 0.4587, + "step": 20026 + }, + { + "epoch": 0.7, + "learning_rate": 4.106316022872825e-05, + "loss": 0.4799, + "step": 20027 + }, + { + "epoch": 0.7, + "learning_rate": 4.105427285299193e-05, + "loss": 0.4976, + "step": 20028 + }, + { + "epoch": 0.7, + "learning_rate": 4.1045386190695435e-05, + "loss": 0.5435, + "step": 20029 + }, + { + "epoch": 0.7, + "learning_rate": 4.103650024194629e-05, + "loss": 0.47, + "step": 20030 + }, + { + "epoch": 0.7, + "learning_rate": 4.102761500685204e-05, + "loss": 0.4896, + "step": 20031 + }, + { + "epoch": 0.7, + "learning_rate": 4.101873048552023e-05, + "loss": 0.4329, + "step": 20032 + }, + { + "epoch": 0.7, + "learning_rate": 4.100984667805836e-05, + "loss": 0.4132, + "step": 20033 + }, + { + "epoch": 0.7, + "learning_rate": 4.1000963584574017e-05, + "loss": 0.4257, + "step": 20034 + }, + { + "epoch": 0.7, + "learning_rate": 4.0992081205174695e-05, + "loss": 0.5044, + "step": 20035 + }, + { + "epoch": 0.7, + "learning_rate": 4.098319953996787e-05, + "loss": 0.3908, + "step": 20036 + }, + { + "epoch": 0.7, + "learning_rate": 4.0974318589061075e-05, + "loss": 0.4475, + "step": 20037 + }, + { + "epoch": 0.7, + "learning_rate": 4.096543835256176e-05, + "loss": 0.4081, + "step": 20038 + }, + { + "epoch": 0.7, + "learning_rate": 4.0956558830577454e-05, + "loss": 0.4084, + "step": 20039 + }, + { + "epoch": 0.7, + "learning_rate": 4.0947680023215594e-05, + "loss": 0.3475, + "step": 20040 + }, + { + "epoch": 0.7, + "learning_rate": 4.093880193058366e-05, + "loss": 0.4849, + "step": 20041 + }, + { + "epoch": 0.7, + "learning_rate": 4.092992455278911e-05, + "loss": 0.5369, + "step": 20042 + }, + { + "epoch": 0.7, + "learning_rate": 4.0921047889939366e-05, + "loss": 0.5, + "step": 20043 + }, + { + "epoch": 0.7, + "learning_rate": 4.091217194214185e-05, + "loss": 0.423, + "step": 20044 + }, + { + "epoch": 0.7, + "learning_rate": 4.090329670950406e-05, + "loss": 0.4897, + "step": 20045 + }, + { + "epoch": 0.7, + "learning_rate": 4.089442219213338e-05, + "loss": 0.4053, + "step": 20046 + }, + { + "epoch": 0.7, + "learning_rate": 4.0885548390137194e-05, + "loss": 0.4578, + "step": 20047 + }, + { + "epoch": 0.7, + "learning_rate": 4.0876675303622944e-05, + "loss": 0.3545, + "step": 20048 + }, + { + "epoch": 0.7, + "learning_rate": 4.086780293269797e-05, + "loss": 0.4425, + "step": 20049 + }, + { + "epoch": 0.7, + "learning_rate": 4.085893127746974e-05, + "loss": 0.4197, + "step": 20050 + }, + { + "epoch": 0.7, + "learning_rate": 4.085006033804557e-05, + "loss": 0.3848, + "step": 20051 + }, + { + "epoch": 0.7, + "learning_rate": 4.0841190114532845e-05, + "loss": 0.4727, + "step": 20052 + }, + { + "epoch": 0.7, + "learning_rate": 4.0832320607038935e-05, + "loss": 0.365, + "step": 20053 + }, + { + "epoch": 0.7, + "learning_rate": 4.082345181567113e-05, + "loss": 0.4858, + "step": 20054 + }, + { + "epoch": 0.7, + "learning_rate": 4.081458374053686e-05, + "loss": 0.4755, + "step": 20055 + }, + { + "epoch": 0.7, + "learning_rate": 4.080571638174342e-05, + "loss": 0.4625, + "step": 20056 + }, + { + "epoch": 0.7, + "learning_rate": 4.079684973939812e-05, + "loss": 0.436, + "step": 20057 + }, + { + "epoch": 0.7, + "learning_rate": 4.078798381360831e-05, + "loss": 0.4773, + "step": 20058 + }, + { + "epoch": 0.7, + "learning_rate": 4.077911860448123e-05, + "loss": 0.4731, + "step": 20059 + }, + { + "epoch": 0.7, + "learning_rate": 4.0770254112124264e-05, + "loss": 0.4935, + "step": 20060 + }, + { + "epoch": 0.7, + "learning_rate": 4.076139033664466e-05, + "loss": 0.4784, + "step": 20061 + }, + { + "epoch": 0.7, + "learning_rate": 4.0752527278149696e-05, + "loss": 0.4859, + "step": 20062 + }, + { + "epoch": 0.7, + "learning_rate": 4.074366493674666e-05, + "loss": 0.4614, + "step": 20063 + }, + { + "epoch": 0.7, + "learning_rate": 4.073480331254277e-05, + "loss": 0.4608, + "step": 20064 + }, + { + "epoch": 0.7, + "learning_rate": 4.072594240564534e-05, + "loss": 0.4399, + "step": 20065 + }, + { + "epoch": 0.7, + "learning_rate": 4.07170822161616e-05, + "loss": 0.5436, + "step": 20066 + }, + { + "epoch": 0.7, + "learning_rate": 4.070822274419879e-05, + "loss": 0.3976, + "step": 20067 + }, + { + "epoch": 0.7, + "learning_rate": 4.0699363989864126e-05, + "loss": 0.4911, + "step": 20068 + }, + { + "epoch": 0.7, + "learning_rate": 4.0690505953264804e-05, + "loss": 0.4419, + "step": 20069 + }, + { + "epoch": 0.7, + "learning_rate": 4.0681648634508096e-05, + "loss": 0.3881, + "step": 20070 + }, + { + "epoch": 0.7, + "learning_rate": 4.067279203370117e-05, + "loss": 0.4553, + "step": 20071 + }, + { + "epoch": 0.7, + "learning_rate": 4.066393615095123e-05, + "loss": 0.4399, + "step": 20072 + }, + { + "epoch": 0.7, + "learning_rate": 4.0655080986365444e-05, + "loss": 0.4551, + "step": 20073 + }, + { + "epoch": 0.7, + "learning_rate": 4.064622654005101e-05, + "loss": 0.4813, + "step": 20074 + }, + { + "epoch": 0.7, + "learning_rate": 4.063737281211506e-05, + "loss": 0.5225, + "step": 20075 + }, + { + "epoch": 0.7, + "learning_rate": 4.062851980266481e-05, + "loss": 0.4635, + "step": 20076 + }, + { + "epoch": 0.7, + "learning_rate": 4.061966751180738e-05, + "loss": 0.5063, + "step": 20077 + }, + { + "epoch": 0.7, + "learning_rate": 4.0610815939649924e-05, + "loss": 0.466, + "step": 20078 + }, + { + "epoch": 0.7, + "learning_rate": 4.060196508629955e-05, + "loss": 0.4249, + "step": 20079 + }, + { + "epoch": 0.7, + "learning_rate": 4.059311495186338e-05, + "loss": 0.4432, + "step": 20080 + }, + { + "epoch": 0.7, + "learning_rate": 4.058426553644857e-05, + "loss": 0.3775, + "step": 20081 + }, + { + "epoch": 0.7, + "learning_rate": 4.057541684016222e-05, + "loss": 0.5509, + "step": 20082 + }, + { + "epoch": 0.7, + "learning_rate": 4.056656886311141e-05, + "loss": 0.4038, + "step": 20083 + }, + { + "epoch": 0.7, + "learning_rate": 4.055772160540323e-05, + "loss": 0.4701, + "step": 20084 + }, + { + "epoch": 0.7, + "learning_rate": 4.054887506714474e-05, + "loss": 0.4758, + "step": 20085 + }, + { + "epoch": 0.7, + "learning_rate": 4.0540029248443065e-05, + "loss": 0.4485, + "step": 20086 + }, + { + "epoch": 0.7, + "learning_rate": 4.0531184149405254e-05, + "loss": 0.5393, + "step": 20087 + }, + { + "epoch": 0.7, + "learning_rate": 4.052233977013834e-05, + "loss": 0.4565, + "step": 20088 + }, + { + "epoch": 0.7, + "learning_rate": 4.051349611074938e-05, + "loss": 0.5715, + "step": 20089 + }, + { + "epoch": 0.7, + "learning_rate": 4.0504653171345384e-05, + "loss": 0.3383, + "step": 20090 + }, + { + "epoch": 0.7, + "learning_rate": 4.049581095203344e-05, + "loss": 0.4559, + "step": 20091 + }, + { + "epoch": 0.7, + "learning_rate": 4.048696945292054e-05, + "loss": 0.5106, + "step": 20092 + }, + { + "epoch": 0.7, + "learning_rate": 4.04781286741137e-05, + "loss": 0.3721, + "step": 20093 + }, + { + "epoch": 0.7, + "learning_rate": 4.0469288615719914e-05, + "loss": 0.4169, + "step": 20094 + }, + { + "epoch": 0.7, + "learning_rate": 4.0460449277846136e-05, + "loss": 0.4686, + "step": 20095 + }, + { + "epoch": 0.7, + "learning_rate": 4.045161066059943e-05, + "loss": 0.6032, + "step": 20096 + }, + { + "epoch": 0.7, + "learning_rate": 4.044277276408673e-05, + "loss": 0.477, + "step": 20097 + }, + { + "epoch": 0.7, + "learning_rate": 4.043393558841503e-05, + "loss": 0.4661, + "step": 20098 + }, + { + "epoch": 0.7, + "learning_rate": 4.042509913369126e-05, + "loss": 0.4073, + "step": 20099 + }, + { + "epoch": 0.7, + "learning_rate": 4.0416263400022334e-05, + "loss": 0.4667, + "step": 20100 + }, + { + "epoch": 0.7, + "learning_rate": 4.040742838751529e-05, + "loss": 0.3842, + "step": 20101 + }, + { + "epoch": 0.7, + "learning_rate": 4.039859409627701e-05, + "loss": 0.4294, + "step": 20102 + }, + { + "epoch": 0.7, + "learning_rate": 4.0389760526414424e-05, + "loss": 0.4832, + "step": 20103 + }, + { + "epoch": 0.7, + "learning_rate": 4.038092767803443e-05, + "loss": 0.452, + "step": 20104 + }, + { + "epoch": 0.7, + "learning_rate": 4.037209555124392e-05, + "loss": 0.5162, + "step": 20105 + }, + { + "epoch": 0.7, + "learning_rate": 4.036326414614985e-05, + "loss": 0.4262, + "step": 20106 + }, + { + "epoch": 0.7, + "learning_rate": 4.0354433462859085e-05, + "loss": 0.4948, + "step": 20107 + }, + { + "epoch": 0.7, + "learning_rate": 4.03456035014785e-05, + "loss": 0.4875, + "step": 20108 + }, + { + "epoch": 0.7, + "learning_rate": 4.0336774262114974e-05, + "loss": 0.4749, + "step": 20109 + }, + { + "epoch": 0.7, + "learning_rate": 4.032794574487536e-05, + "loss": 0.5131, + "step": 20110 + }, + { + "epoch": 0.7, + "learning_rate": 4.031911794986647e-05, + "loss": 0.5392, + "step": 20111 + }, + { + "epoch": 0.7, + "learning_rate": 4.031029087719525e-05, + "loss": 0.4397, + "step": 20112 + }, + { + "epoch": 0.7, + "learning_rate": 4.030146452696847e-05, + "loss": 0.4245, + "step": 20113 + }, + { + "epoch": 0.7, + "learning_rate": 4.029263889929298e-05, + "loss": 0.4113, + "step": 20114 + }, + { + "epoch": 0.7, + "learning_rate": 4.0283813994275576e-05, + "loss": 0.421, + "step": 20115 + }, + { + "epoch": 0.7, + "learning_rate": 4.0274989812023056e-05, + "loss": 0.5198, + "step": 20116 + }, + { + "epoch": 0.7, + "learning_rate": 4.026616635264229e-05, + "loss": 0.4062, + "step": 20117 + }, + { + "epoch": 0.7, + "learning_rate": 4.0257343616240026e-05, + "loss": 0.4624, + "step": 20118 + }, + { + "epoch": 0.7, + "learning_rate": 4.024852160292306e-05, + "loss": 0.479, + "step": 20119 + }, + { + "epoch": 0.7, + "learning_rate": 4.0239700312798155e-05, + "loss": 0.5004, + "step": 20120 + }, + { + "epoch": 0.7, + "learning_rate": 4.023087974597205e-05, + "loss": 0.4842, + "step": 20121 + }, + { + "epoch": 0.7, + "learning_rate": 4.022205990255157e-05, + "loss": 0.5107, + "step": 20122 + }, + { + "epoch": 0.7, + "learning_rate": 4.021324078264343e-05, + "loss": 0.3841, + "step": 20123 + }, + { + "epoch": 0.7, + "learning_rate": 4.020442238635438e-05, + "loss": 0.4822, + "step": 20124 + }, + { + "epoch": 0.7, + "learning_rate": 4.0195604713791144e-05, + "loss": 0.4733, + "step": 20125 + }, + { + "epoch": 0.7, + "learning_rate": 4.018678776506041e-05, + "loss": 0.4639, + "step": 20126 + }, + { + "epoch": 0.7, + "learning_rate": 4.017797154026897e-05, + "loss": 0.4939, + "step": 20127 + }, + { + "epoch": 0.7, + "learning_rate": 4.016915603952347e-05, + "loss": 0.4519, + "step": 20128 + }, + { + "epoch": 0.7, + "learning_rate": 4.0160341262930636e-05, + "loss": 0.4479, + "step": 20129 + }, + { + "epoch": 0.7, + "learning_rate": 4.015152721059715e-05, + "loss": 0.4375, + "step": 20130 + }, + { + "epoch": 0.7, + "learning_rate": 4.014271388262964e-05, + "loss": 0.443, + "step": 20131 + }, + { + "epoch": 0.7, + "learning_rate": 4.0133901279134864e-05, + "loss": 0.4701, + "step": 20132 + }, + { + "epoch": 0.7, + "learning_rate": 4.012508940021945e-05, + "loss": 0.4757, + "step": 20133 + }, + { + "epoch": 0.7, + "learning_rate": 4.011627824599004e-05, + "loss": 0.3747, + "step": 20134 + }, + { + "epoch": 0.7, + "learning_rate": 4.010746781655328e-05, + "loss": 0.4369, + "step": 20135 + }, + { + "epoch": 0.7, + "learning_rate": 4.009865811201577e-05, + "loss": 0.3851, + "step": 20136 + }, + { + "epoch": 0.7, + "learning_rate": 4.008984913248421e-05, + "loss": 0.4004, + "step": 20137 + }, + { + "epoch": 0.7, + "learning_rate": 4.008104087806519e-05, + "loss": 0.5322, + "step": 20138 + }, + { + "epoch": 0.7, + "learning_rate": 4.007223334886531e-05, + "loss": 0.352, + "step": 20139 + }, + { + "epoch": 0.7, + "learning_rate": 4.006342654499117e-05, + "loss": 0.4701, + "step": 20140 + }, + { + "epoch": 0.7, + "learning_rate": 4.005462046654936e-05, + "loss": 0.4887, + "step": 20141 + }, + { + "epoch": 0.7, + "learning_rate": 4.004581511364645e-05, + "loss": 0.3891, + "step": 20142 + }, + { + "epoch": 0.7, + "learning_rate": 4.003701048638905e-05, + "loss": 0.4264, + "step": 20143 + }, + { + "epoch": 0.7, + "learning_rate": 4.002820658488371e-05, + "loss": 0.396, + "step": 20144 + }, + { + "epoch": 0.7, + "learning_rate": 4.001940340923699e-05, + "loss": 0.4636, + "step": 20145 + }, + { + "epoch": 0.7, + "learning_rate": 4.001060095955542e-05, + "loss": 0.4326, + "step": 20146 + }, + { + "epoch": 0.71, + "learning_rate": 4.0001799235945525e-05, + "loss": 0.4642, + "step": 20147 + }, + { + "epoch": 0.71, + "learning_rate": 3.999299823851389e-05, + "loss": 0.4008, + "step": 20148 + }, + { + "epoch": 0.71, + "learning_rate": 3.998419796736701e-05, + "loss": 0.517, + "step": 20149 + }, + { + "epoch": 0.71, + "learning_rate": 3.9975398422611386e-05, + "loss": 0.4814, + "step": 20150 + }, + { + "epoch": 0.71, + "learning_rate": 3.996659960435354e-05, + "loss": 0.4402, + "step": 20151 + }, + { + "epoch": 0.71, + "learning_rate": 3.9957801512699924e-05, + "loss": 0.4305, + "step": 20152 + }, + { + "epoch": 0.71, + "learning_rate": 3.9949004147757075e-05, + "loss": 0.4541, + "step": 20153 + }, + { + "epoch": 0.71, + "learning_rate": 3.994020750963147e-05, + "loss": 0.4563, + "step": 20154 + }, + { + "epoch": 0.71, + "learning_rate": 3.9931411598429555e-05, + "loss": 0.4155, + "step": 20155 + }, + { + "epoch": 0.71, + "learning_rate": 3.9922616414257794e-05, + "loss": 0.4786, + "step": 20156 + }, + { + "epoch": 0.71, + "learning_rate": 3.991382195722261e-05, + "loss": 0.4606, + "step": 20157 + }, + { + "epoch": 0.71, + "learning_rate": 3.9905028227430543e-05, + "loss": 0.4305, + "step": 20158 + }, + { + "epoch": 0.71, + "learning_rate": 3.989623522498791e-05, + "loss": 0.504, + "step": 20159 + }, + { + "epoch": 0.71, + "learning_rate": 3.9887442950001195e-05, + "loss": 0.4875, + "step": 20160 + }, + { + "epoch": 0.71, + "learning_rate": 3.987865140257677e-05, + "loss": 0.4707, + "step": 20161 + }, + { + "epoch": 0.71, + "learning_rate": 3.9869860582821104e-05, + "loss": 0.5082, + "step": 20162 + }, + { + "epoch": 0.71, + "learning_rate": 3.986107049084057e-05, + "loss": 0.5365, + "step": 20163 + }, + { + "epoch": 0.71, + "learning_rate": 3.985228112674155e-05, + "loss": 0.4772, + "step": 20164 + }, + { + "epoch": 0.71, + "learning_rate": 3.984349249063043e-05, + "loss": 0.4136, + "step": 20165 + }, + { + "epoch": 0.71, + "learning_rate": 3.983470458261354e-05, + "loss": 0.3812, + "step": 20166 + }, + { + "epoch": 0.71, + "learning_rate": 3.982591740279732e-05, + "loss": 0.4401, + "step": 20167 + }, + { + "epoch": 0.71, + "learning_rate": 3.9817130951288084e-05, + "loss": 0.509, + "step": 20168 + }, + { + "epoch": 0.71, + "learning_rate": 3.9808345228192187e-05, + "loss": 0.4308, + "step": 20169 + }, + { + "epoch": 0.71, + "learning_rate": 3.979956023361595e-05, + "loss": 0.3861, + "step": 20170 + }, + { + "epoch": 0.71, + "learning_rate": 3.979077596766568e-05, + "loss": 0.4141, + "step": 20171 + }, + { + "epoch": 0.71, + "learning_rate": 3.978199243044777e-05, + "loss": 0.4106, + "step": 20172 + }, + { + "epoch": 0.71, + "learning_rate": 3.977320962206846e-05, + "loss": 0.4637, + "step": 20173 + }, + { + "epoch": 0.71, + "learning_rate": 3.9764427542634096e-05, + "loss": 0.4734, + "step": 20174 + }, + { + "epoch": 0.71, + "learning_rate": 3.975564619225095e-05, + "loss": 0.5055, + "step": 20175 + }, + { + "epoch": 0.71, + "learning_rate": 3.9746865571025305e-05, + "loss": 0.442, + "step": 20176 + }, + { + "epoch": 0.71, + "learning_rate": 3.97380856790634e-05, + "loss": 0.5583, + "step": 20177 + }, + { + "epoch": 0.71, + "learning_rate": 3.972930651647158e-05, + "loss": 0.4646, + "step": 20178 + }, + { + "epoch": 0.71, + "learning_rate": 3.972052808335605e-05, + "loss": 0.547, + "step": 20179 + }, + { + "epoch": 0.71, + "learning_rate": 3.971175037982306e-05, + "loss": 0.4266, + "step": 20180 + }, + { + "epoch": 0.71, + "learning_rate": 3.970297340597888e-05, + "loss": 0.422, + "step": 20181 + }, + { + "epoch": 0.71, + "learning_rate": 3.969419716192968e-05, + "loss": 0.4505, + "step": 20182 + }, + { + "epoch": 0.71, + "learning_rate": 3.968542164778175e-05, + "loss": 0.3515, + "step": 20183 + }, + { + "epoch": 0.71, + "learning_rate": 3.9676646863641276e-05, + "loss": 0.4883, + "step": 20184 + }, + { + "epoch": 0.71, + "learning_rate": 3.966787280961446e-05, + "loss": 0.4764, + "step": 20185 + }, + { + "epoch": 0.71, + "learning_rate": 3.965909948580749e-05, + "loss": 0.4793, + "step": 20186 + }, + { + "epoch": 0.71, + "learning_rate": 3.965032689232653e-05, + "loss": 0.4439, + "step": 20187 + }, + { + "epoch": 0.71, + "learning_rate": 3.964155502927782e-05, + "loss": 0.4425, + "step": 20188 + }, + { + "epoch": 0.71, + "learning_rate": 3.96327838967675e-05, + "loss": 0.5235, + "step": 20189 + }, + { + "epoch": 0.71, + "learning_rate": 3.962401349490172e-05, + "loss": 0.4913, + "step": 20190 + }, + { + "epoch": 0.71, + "learning_rate": 3.9615243823786654e-05, + "loss": 0.4399, + "step": 20191 + }, + { + "epoch": 0.71, + "learning_rate": 3.9606474883528375e-05, + "loss": 0.4236, + "step": 20192 + }, + { + "epoch": 0.71, + "learning_rate": 3.95977066742331e-05, + "loss": 0.4379, + "step": 20193 + }, + { + "epoch": 0.71, + "learning_rate": 3.958893919600694e-05, + "loss": 0.4378, + "step": 20194 + }, + { + "epoch": 0.71, + "learning_rate": 3.958017244895598e-05, + "loss": 0.4174, + "step": 20195 + }, + { + "epoch": 0.71, + "learning_rate": 3.957140643318634e-05, + "loss": 0.5513, + "step": 20196 + }, + { + "epoch": 0.71, + "learning_rate": 3.956264114880409e-05, + "loss": 0.4691, + "step": 20197 + }, + { + "epoch": 0.71, + "learning_rate": 3.9553876595915375e-05, + "loss": 0.4797, + "step": 20198 + }, + { + "epoch": 0.71, + "learning_rate": 3.954511277462626e-05, + "loss": 0.4993, + "step": 20199 + }, + { + "epoch": 0.71, + "learning_rate": 3.9536349685042785e-05, + "loss": 0.4988, + "step": 20200 + }, + { + "epoch": 0.71, + "eval_loss": 0.44190868735313416, + "eval_runtime": 845.132, + "eval_samples_per_second": 28.469, + "eval_steps_per_second": 14.234, + "step": 20200 + }, + { + "epoch": 0.71, + "learning_rate": 3.952758732727104e-05, + "loss": 0.4601, + "step": 20201 + }, + { + "epoch": 0.71, + "learning_rate": 3.951882570141704e-05, + "loss": 0.4463, + "step": 20202 + }, + { + "epoch": 0.71, + "learning_rate": 3.951006480758689e-05, + "loss": 0.4219, + "step": 20203 + }, + { + "epoch": 0.71, + "learning_rate": 3.9501304645886595e-05, + "loss": 0.5392, + "step": 20204 + }, + { + "epoch": 0.71, + "learning_rate": 3.949254521642218e-05, + "loss": 0.5803, + "step": 20205 + }, + { + "epoch": 0.71, + "learning_rate": 3.948378651929968e-05, + "loss": 0.4637, + "step": 20206 + }, + { + "epoch": 0.71, + "learning_rate": 3.947502855462505e-05, + "loss": 0.5142, + "step": 20207 + }, + { + "epoch": 0.71, + "learning_rate": 3.946627132250436e-05, + "loss": 0.4997, + "step": 20208 + }, + { + "epoch": 0.71, + "learning_rate": 3.9457514823043576e-05, + "loss": 0.5014, + "step": 20209 + }, + { + "epoch": 0.71, + "learning_rate": 3.9448759056348686e-05, + "loss": 0.3944, + "step": 20210 + }, + { + "epoch": 0.71, + "learning_rate": 3.944000402252565e-05, + "loss": 0.4843, + "step": 20211 + }, + { + "epoch": 0.71, + "learning_rate": 3.943124972168043e-05, + "loss": 0.4564, + "step": 20212 + }, + { + "epoch": 0.71, + "learning_rate": 3.9422496153918965e-05, + "loss": 0.3932, + "step": 20213 + }, + { + "epoch": 0.71, + "learning_rate": 3.941374331934726e-05, + "loss": 0.5238, + "step": 20214 + }, + { + "epoch": 0.71, + "learning_rate": 3.940499121807123e-05, + "loss": 0.408, + "step": 20215 + }, + { + "epoch": 0.71, + "learning_rate": 3.939623985019679e-05, + "loss": 0.42, + "step": 20216 + }, + { + "epoch": 0.71, + "learning_rate": 3.938748921582986e-05, + "loss": 0.4005, + "step": 20217 + }, + { + "epoch": 0.71, + "learning_rate": 3.9378739315076344e-05, + "loss": 0.4265, + "step": 20218 + }, + { + "epoch": 0.71, + "learning_rate": 3.936999014804218e-05, + "loss": 0.4396, + "step": 20219 + }, + { + "epoch": 0.71, + "learning_rate": 3.936124171483325e-05, + "loss": 0.4385, + "step": 20220 + }, + { + "epoch": 0.71, + "learning_rate": 3.935249401555543e-05, + "loss": 0.4482, + "step": 20221 + }, + { + "epoch": 0.71, + "learning_rate": 3.934374705031459e-05, + "loss": 0.4352, + "step": 20222 + }, + { + "epoch": 0.71, + "learning_rate": 3.9335000819216584e-05, + "loss": 0.4561, + "step": 20223 + }, + { + "epoch": 0.71, + "learning_rate": 3.932625532236731e-05, + "loss": 0.4087, + "step": 20224 + }, + { + "epoch": 0.71, + "learning_rate": 3.9317510559872615e-05, + "loss": 0.5336, + "step": 20225 + }, + { + "epoch": 0.71, + "learning_rate": 3.930876653183831e-05, + "loss": 0.4389, + "step": 20226 + }, + { + "epoch": 0.71, + "learning_rate": 3.930002323837025e-05, + "loss": 0.3907, + "step": 20227 + }, + { + "epoch": 0.71, + "learning_rate": 3.9291280679574215e-05, + "loss": 0.5043, + "step": 20228 + }, + { + "epoch": 0.71, + "learning_rate": 3.92825388555561e-05, + "loss": 0.3814, + "step": 20229 + }, + { + "epoch": 0.71, + "learning_rate": 3.9273797766421637e-05, + "loss": 0.4399, + "step": 20230 + }, + { + "epoch": 0.71, + "learning_rate": 3.9265057412276665e-05, + "loss": 0.4556, + "step": 20231 + }, + { + "epoch": 0.71, + "learning_rate": 3.9256317793226947e-05, + "loss": 0.4411, + "step": 20232 + }, + { + "epoch": 0.71, + "learning_rate": 3.9247578909378245e-05, + "loss": 0.4572, + "step": 20233 + }, + { + "epoch": 0.71, + "learning_rate": 3.9238840760836385e-05, + "loss": 0.4098, + "step": 20234 + }, + { + "epoch": 0.71, + "learning_rate": 3.923010334770709e-05, + "loss": 0.4707, + "step": 20235 + }, + { + "epoch": 0.71, + "learning_rate": 3.9221366670096124e-05, + "loss": 0.5093, + "step": 20236 + }, + { + "epoch": 0.71, + "learning_rate": 3.921263072810922e-05, + "loss": 0.4075, + "step": 20237 + }, + { + "epoch": 0.71, + "learning_rate": 3.9203895521852085e-05, + "loss": 0.5515, + "step": 20238 + }, + { + "epoch": 0.71, + "learning_rate": 3.9195161051430506e-05, + "loss": 0.5248, + "step": 20239 + }, + { + "epoch": 0.71, + "learning_rate": 3.918642731695017e-05, + "loss": 0.4821, + "step": 20240 + }, + { + "epoch": 0.71, + "learning_rate": 3.917769431851678e-05, + "loss": 0.435, + "step": 20241 + }, + { + "epoch": 0.71, + "learning_rate": 3.916896205623605e-05, + "loss": 0.4179, + "step": 20242 + }, + { + "epoch": 0.71, + "learning_rate": 3.9160230530213636e-05, + "loss": 0.3923, + "step": 20243 + }, + { + "epoch": 0.71, + "learning_rate": 3.915149974055522e-05, + "loss": 0.3473, + "step": 20244 + }, + { + "epoch": 0.71, + "learning_rate": 3.914276968736652e-05, + "loss": 0.6048, + "step": 20245 + }, + { + "epoch": 0.71, + "learning_rate": 3.913404037075317e-05, + "loss": 0.4726, + "step": 20246 + }, + { + "epoch": 0.71, + "learning_rate": 3.912531179082083e-05, + "loss": 0.517, + "step": 20247 + }, + { + "epoch": 0.71, + "learning_rate": 3.9116583947675136e-05, + "loss": 0.4902, + "step": 20248 + }, + { + "epoch": 0.71, + "learning_rate": 3.9107856841421684e-05, + "loss": 0.41, + "step": 20249 + }, + { + "epoch": 0.71, + "learning_rate": 3.90991304721662e-05, + "loss": 0.4549, + "step": 20250 + }, + { + "epoch": 0.71, + "learning_rate": 3.909040484001424e-05, + "loss": 0.4677, + "step": 20251 + }, + { + "epoch": 0.71, + "learning_rate": 3.908167994507141e-05, + "loss": 0.4174, + "step": 20252 + }, + { + "epoch": 0.71, + "learning_rate": 3.907295578744333e-05, + "loss": 0.4301, + "step": 20253 + }, + { + "epoch": 0.71, + "learning_rate": 3.906423236723555e-05, + "loss": 0.5151, + "step": 20254 + }, + { + "epoch": 0.71, + "learning_rate": 3.9055509684553715e-05, + "loss": 0.4157, + "step": 20255 + }, + { + "epoch": 0.71, + "learning_rate": 3.9046787739503366e-05, + "loss": 0.4505, + "step": 20256 + }, + { + "epoch": 0.71, + "learning_rate": 3.903806653219008e-05, + "loss": 0.3986, + "step": 20257 + }, + { + "epoch": 0.71, + "learning_rate": 3.9029346062719397e-05, + "loss": 0.4955, + "step": 20258 + }, + { + "epoch": 0.71, + "learning_rate": 3.902062633119683e-05, + "loss": 0.4443, + "step": 20259 + }, + { + "epoch": 0.71, + "learning_rate": 3.901190733772799e-05, + "loss": 0.4084, + "step": 20260 + }, + { + "epoch": 0.71, + "learning_rate": 3.900318908241838e-05, + "loss": 0.5052, + "step": 20261 + }, + { + "epoch": 0.71, + "learning_rate": 3.89944715653735e-05, + "loss": 0.5014, + "step": 20262 + }, + { + "epoch": 0.71, + "learning_rate": 3.898575478669889e-05, + "loss": 0.4345, + "step": 20263 + }, + { + "epoch": 0.71, + "learning_rate": 3.8977038746499996e-05, + "loss": 0.3956, + "step": 20264 + }, + { + "epoch": 0.71, + "learning_rate": 3.896832344488237e-05, + "loss": 0.4462, + "step": 20265 + }, + { + "epoch": 0.71, + "learning_rate": 3.8959608881951495e-05, + "loss": 0.4269, + "step": 20266 + }, + { + "epoch": 0.71, + "learning_rate": 3.895089505781282e-05, + "loss": 0.4145, + "step": 20267 + }, + { + "epoch": 0.71, + "learning_rate": 3.894218197257181e-05, + "loss": 0.4676, + "step": 20268 + }, + { + "epoch": 0.71, + "learning_rate": 3.893346962633391e-05, + "loss": 0.5852, + "step": 20269 + }, + { + "epoch": 0.71, + "learning_rate": 3.8924758019204624e-05, + "loss": 0.4435, + "step": 20270 + }, + { + "epoch": 0.71, + "learning_rate": 3.891604715128935e-05, + "loss": 0.5057, + "step": 20271 + }, + { + "epoch": 0.71, + "learning_rate": 3.8907337022693524e-05, + "loss": 0.4309, + "step": 20272 + }, + { + "epoch": 0.71, + "learning_rate": 3.8898627633522566e-05, + "loss": 0.424, + "step": 20273 + }, + { + "epoch": 0.71, + "learning_rate": 3.8889918983881865e-05, + "loss": 0.3752, + "step": 20274 + }, + { + "epoch": 0.71, + "learning_rate": 3.8881211073876885e-05, + "loss": 0.3861, + "step": 20275 + }, + { + "epoch": 0.71, + "learning_rate": 3.8872503903613e-05, + "loss": 0.4915, + "step": 20276 + }, + { + "epoch": 0.71, + "learning_rate": 3.886379747319556e-05, + "loss": 0.4598, + "step": 20277 + }, + { + "epoch": 0.71, + "learning_rate": 3.885509178272998e-05, + "loss": 0.4359, + "step": 20278 + }, + { + "epoch": 0.71, + "learning_rate": 3.8846386832321614e-05, + "loss": 0.4382, + "step": 20279 + }, + { + "epoch": 0.71, + "learning_rate": 3.8837682622075775e-05, + "loss": 0.4383, + "step": 20280 + }, + { + "epoch": 0.71, + "learning_rate": 3.88289791520979e-05, + "loss": 0.4171, + "step": 20281 + }, + { + "epoch": 0.71, + "learning_rate": 3.8820276422493284e-05, + "loss": 0.4758, + "step": 20282 + }, + { + "epoch": 0.71, + "learning_rate": 3.881157443336727e-05, + "loss": 0.3599, + "step": 20283 + }, + { + "epoch": 0.71, + "learning_rate": 3.880287318482517e-05, + "loss": 0.4203, + "step": 20284 + }, + { + "epoch": 0.71, + "learning_rate": 3.8794172676972264e-05, + "loss": 0.4485, + "step": 20285 + }, + { + "epoch": 0.71, + "learning_rate": 3.8785472909913936e-05, + "loss": 0.4294, + "step": 20286 + }, + { + "epoch": 0.71, + "learning_rate": 3.8776773883755435e-05, + "loss": 0.4074, + "step": 20287 + }, + { + "epoch": 0.71, + "learning_rate": 3.876807559860206e-05, + "loss": 0.421, + "step": 20288 + }, + { + "epoch": 0.71, + "learning_rate": 3.875937805455908e-05, + "loss": 0.4129, + "step": 20289 + }, + { + "epoch": 0.71, + "learning_rate": 3.875068125173174e-05, + "loss": 0.4906, + "step": 20290 + }, + { + "epoch": 0.71, + "learning_rate": 3.8741985190225346e-05, + "loss": 0.3351, + "step": 20291 + }, + { + "epoch": 0.71, + "learning_rate": 3.873328987014515e-05, + "loss": 0.4492, + "step": 20292 + }, + { + "epoch": 0.71, + "learning_rate": 3.8724595291596396e-05, + "loss": 0.4037, + "step": 20293 + }, + { + "epoch": 0.71, + "learning_rate": 3.8715901454684246e-05, + "loss": 0.4242, + "step": 20294 + }, + { + "epoch": 0.71, + "learning_rate": 3.870720835951399e-05, + "loss": 0.4406, + "step": 20295 + }, + { + "epoch": 0.71, + "learning_rate": 3.869851600619084e-05, + "loss": 0.3999, + "step": 20296 + }, + { + "epoch": 0.71, + "learning_rate": 3.8689824394819996e-05, + "loss": 0.4288, + "step": 20297 + }, + { + "epoch": 0.71, + "learning_rate": 3.868113352550664e-05, + "loss": 0.4347, + "step": 20298 + }, + { + "epoch": 0.71, + "learning_rate": 3.867244339835595e-05, + "loss": 0.4192, + "step": 20299 + }, + { + "epoch": 0.71, + "learning_rate": 3.866375401347315e-05, + "loss": 0.3773, + "step": 20300 + }, + { + "epoch": 0.71, + "learning_rate": 3.86550653709634e-05, + "loss": 0.4085, + "step": 20301 + }, + { + "epoch": 0.71, + "learning_rate": 3.864637747093184e-05, + "loss": 0.4183, + "step": 20302 + }, + { + "epoch": 0.71, + "learning_rate": 3.863769031348363e-05, + "loss": 0.5143, + "step": 20303 + }, + { + "epoch": 0.71, + "learning_rate": 3.862900389872389e-05, + "loss": 0.4563, + "step": 20304 + }, + { + "epoch": 0.71, + "learning_rate": 3.862031822675781e-05, + "loss": 0.3941, + "step": 20305 + }, + { + "epoch": 0.71, + "learning_rate": 3.8611633297690487e-05, + "loss": 0.4789, + "step": 20306 + }, + { + "epoch": 0.71, + "learning_rate": 3.8602949111627026e-05, + "loss": 0.4651, + "step": 20307 + }, + { + "epoch": 0.71, + "learning_rate": 3.859426566867256e-05, + "loss": 0.5798, + "step": 20308 + }, + { + "epoch": 0.71, + "learning_rate": 3.858558296893213e-05, + "loss": 0.4988, + "step": 20309 + }, + { + "epoch": 0.71, + "learning_rate": 3.85769010125109e-05, + "loss": 0.4635, + "step": 20310 + }, + { + "epoch": 0.71, + "learning_rate": 3.8568219799513924e-05, + "loss": 0.5627, + "step": 20311 + }, + { + "epoch": 0.71, + "learning_rate": 3.855953933004627e-05, + "loss": 0.5211, + "step": 20312 + }, + { + "epoch": 0.71, + "learning_rate": 3.8550859604212994e-05, + "loss": 0.4107, + "step": 20313 + }, + { + "epoch": 0.71, + "learning_rate": 3.854218062211915e-05, + "loss": 0.4437, + "step": 20314 + }, + { + "epoch": 0.71, + "learning_rate": 3.853350238386977e-05, + "loss": 0.4749, + "step": 20315 + }, + { + "epoch": 0.71, + "learning_rate": 3.852482488956992e-05, + "loss": 0.4414, + "step": 20316 + }, + { + "epoch": 0.71, + "learning_rate": 3.851614813932463e-05, + "loss": 0.3987, + "step": 20317 + }, + { + "epoch": 0.71, + "learning_rate": 3.8507472133238886e-05, + "loss": 0.4238, + "step": 20318 + }, + { + "epoch": 0.71, + "learning_rate": 3.849879687141772e-05, + "loss": 0.3406, + "step": 20319 + }, + { + "epoch": 0.71, + "learning_rate": 3.849012235396608e-05, + "loss": 0.4086, + "step": 20320 + }, + { + "epoch": 0.71, + "learning_rate": 3.848144858098905e-05, + "loss": 0.482, + "step": 20321 + }, + { + "epoch": 0.71, + "learning_rate": 3.8472775552591556e-05, + "loss": 0.4776, + "step": 20322 + }, + { + "epoch": 0.71, + "learning_rate": 3.846410326887857e-05, + "loss": 0.4374, + "step": 20323 + }, + { + "epoch": 0.71, + "learning_rate": 3.845543172995506e-05, + "loss": 0.4261, + "step": 20324 + }, + { + "epoch": 0.71, + "learning_rate": 3.8446760935925955e-05, + "loss": 0.4725, + "step": 20325 + }, + { + "epoch": 0.71, + "learning_rate": 3.843809088689626e-05, + "loss": 0.5272, + "step": 20326 + }, + { + "epoch": 0.71, + "learning_rate": 3.842942158297087e-05, + "loss": 0.5502, + "step": 20327 + }, + { + "epoch": 0.71, + "learning_rate": 3.842075302425473e-05, + "loss": 0.4241, + "step": 20328 + }, + { + "epoch": 0.71, + "learning_rate": 3.841208521085274e-05, + "loss": 0.4927, + "step": 20329 + }, + { + "epoch": 0.71, + "learning_rate": 3.8403418142869794e-05, + "loss": 0.4751, + "step": 20330 + }, + { + "epoch": 0.71, + "learning_rate": 3.839475182041086e-05, + "loss": 0.515, + "step": 20331 + }, + { + "epoch": 0.71, + "learning_rate": 3.838608624358077e-05, + "loss": 0.4402, + "step": 20332 + }, + { + "epoch": 0.71, + "learning_rate": 3.837742141248444e-05, + "loss": 0.4705, + "step": 20333 + }, + { + "epoch": 0.71, + "learning_rate": 3.836875732722671e-05, + "loss": 0.4428, + "step": 20334 + }, + { + "epoch": 0.71, + "learning_rate": 3.8360093987912436e-05, + "loss": 0.5941, + "step": 20335 + }, + { + "epoch": 0.71, + "learning_rate": 3.835143139464653e-05, + "loss": 0.5016, + "step": 20336 + }, + { + "epoch": 0.71, + "learning_rate": 3.834276954753381e-05, + "loss": 0.4269, + "step": 20337 + }, + { + "epoch": 0.71, + "learning_rate": 3.833410844667911e-05, + "loss": 0.432, + "step": 20338 + }, + { + "epoch": 0.71, + "learning_rate": 3.832544809218725e-05, + "loss": 0.4551, + "step": 20339 + }, + { + "epoch": 0.71, + "learning_rate": 3.831678848416302e-05, + "loss": 0.4491, + "step": 20340 + }, + { + "epoch": 0.71, + "learning_rate": 3.830812962271132e-05, + "loss": 0.3948, + "step": 20341 + }, + { + "epoch": 0.71, + "learning_rate": 3.829947150793688e-05, + "loss": 0.4385, + "step": 20342 + }, + { + "epoch": 0.71, + "learning_rate": 3.829081413994452e-05, + "loss": 0.5037, + "step": 20343 + }, + { + "epoch": 0.71, + "learning_rate": 3.8282157518839014e-05, + "loss": 0.4319, + "step": 20344 + }, + { + "epoch": 0.71, + "learning_rate": 3.8273501644725126e-05, + "loss": 0.4644, + "step": 20345 + }, + { + "epoch": 0.71, + "learning_rate": 3.826484651770761e-05, + "loss": 0.5449, + "step": 20346 + }, + { + "epoch": 0.71, + "learning_rate": 3.8256192137891264e-05, + "loss": 0.3728, + "step": 20347 + }, + { + "epoch": 0.71, + "learning_rate": 3.824753850538082e-05, + "loss": 0.484, + "step": 20348 + }, + { + "epoch": 0.71, + "learning_rate": 3.8238885620281004e-05, + "loss": 0.4503, + "step": 20349 + }, + { + "epoch": 0.71, + "learning_rate": 3.8230233482696554e-05, + "loss": 0.4181, + "step": 20350 + }, + { + "epoch": 0.71, + "learning_rate": 3.8221582092732155e-05, + "loss": 0.4674, + "step": 20351 + }, + { + "epoch": 0.71, + "learning_rate": 3.8212931450492575e-05, + "loss": 0.4182, + "step": 20352 + }, + { + "epoch": 0.71, + "learning_rate": 3.820428155608249e-05, + "loss": 0.3968, + "step": 20353 + }, + { + "epoch": 0.71, + "learning_rate": 3.81956324096066e-05, + "loss": 0.5079, + "step": 20354 + }, + { + "epoch": 0.71, + "learning_rate": 3.818698401116956e-05, + "loss": 0.4258, + "step": 20355 + }, + { + "epoch": 0.71, + "learning_rate": 3.817833636087604e-05, + "loss": 0.4849, + "step": 20356 + }, + { + "epoch": 0.71, + "learning_rate": 3.816968945883077e-05, + "loss": 0.4664, + "step": 20357 + }, + { + "epoch": 0.71, + "learning_rate": 3.8161043305138354e-05, + "loss": 0.4319, + "step": 20358 + }, + { + "epoch": 0.71, + "learning_rate": 3.815239789990346e-05, + "loss": 0.4384, + "step": 20359 + }, + { + "epoch": 0.71, + "learning_rate": 3.814375324323072e-05, + "loss": 0.3981, + "step": 20360 + }, + { + "epoch": 0.71, + "learning_rate": 3.813510933522472e-05, + "loss": 0.3544, + "step": 20361 + }, + { + "epoch": 0.71, + "learning_rate": 3.812646617599015e-05, + "loss": 0.4246, + "step": 20362 + }, + { + "epoch": 0.71, + "learning_rate": 3.81178237656316e-05, + "loss": 0.4356, + "step": 20363 + }, + { + "epoch": 0.71, + "learning_rate": 3.810918210425366e-05, + "loss": 0.5007, + "step": 20364 + }, + { + "epoch": 0.71, + "learning_rate": 3.8100541191960926e-05, + "loss": 0.4319, + "step": 20365 + }, + { + "epoch": 0.71, + "learning_rate": 3.8091901028857955e-05, + "loss": 0.411, + "step": 20366 + }, + { + "epoch": 0.71, + "learning_rate": 3.808326161504937e-05, + "loss": 0.4251, + "step": 20367 + }, + { + "epoch": 0.71, + "learning_rate": 3.8074622950639723e-05, + "loss": 0.5263, + "step": 20368 + }, + { + "epoch": 0.71, + "learning_rate": 3.8065985035733566e-05, + "loss": 0.4427, + "step": 20369 + }, + { + "epoch": 0.71, + "learning_rate": 3.8057347870435445e-05, + "loss": 0.385, + "step": 20370 + }, + { + "epoch": 0.71, + "learning_rate": 3.804871145484986e-05, + "loss": 0.4411, + "step": 20371 + }, + { + "epoch": 0.71, + "learning_rate": 3.8040075789081406e-05, + "loss": 0.4816, + "step": 20372 + }, + { + "epoch": 0.71, + "learning_rate": 3.803144087323459e-05, + "loss": 0.4443, + "step": 20373 + }, + { + "epoch": 0.71, + "learning_rate": 3.8022806707413905e-05, + "loss": 0.4705, + "step": 20374 + }, + { + "epoch": 0.71, + "learning_rate": 3.8014173291723845e-05, + "loss": 0.4489, + "step": 20375 + }, + { + "epoch": 0.71, + "learning_rate": 3.8005540626268924e-05, + "loss": 0.4417, + "step": 20376 + }, + { + "epoch": 0.71, + "learning_rate": 3.799690871115358e-05, + "loss": 0.4473, + "step": 20377 + }, + { + "epoch": 0.71, + "learning_rate": 3.7988277546482355e-05, + "loss": 0.357, + "step": 20378 + }, + { + "epoch": 0.71, + "learning_rate": 3.79796471323597e-05, + "loss": 0.3754, + "step": 20379 + }, + { + "epoch": 0.71, + "learning_rate": 3.7971017468890036e-05, + "loss": 0.3808, + "step": 20380 + }, + { + "epoch": 0.71, + "learning_rate": 3.796238855617784e-05, + "loss": 0.4656, + "step": 20381 + }, + { + "epoch": 0.71, + "learning_rate": 3.795376039432751e-05, + "loss": 0.3993, + "step": 20382 + }, + { + "epoch": 0.71, + "learning_rate": 3.794513298344354e-05, + "loss": 0.3891, + "step": 20383 + }, + { + "epoch": 0.71, + "learning_rate": 3.793650632363032e-05, + "loss": 0.4135, + "step": 20384 + }, + { + "epoch": 0.71, + "learning_rate": 3.792788041499226e-05, + "loss": 0.4255, + "step": 20385 + }, + { + "epoch": 0.71, + "learning_rate": 3.7919255257633756e-05, + "loss": 0.3564, + "step": 20386 + }, + { + "epoch": 0.71, + "learning_rate": 3.791063085165917e-05, + "loss": 0.4275, + "step": 20387 + }, + { + "epoch": 0.71, + "learning_rate": 3.790200719717296e-05, + "loss": 0.4908, + "step": 20388 + }, + { + "epoch": 0.71, + "learning_rate": 3.789338429427947e-05, + "loss": 0.5403, + "step": 20389 + }, + { + "epoch": 0.71, + "learning_rate": 3.788476214308305e-05, + "loss": 0.4185, + "step": 20390 + }, + { + "epoch": 0.71, + "learning_rate": 3.7876140743688074e-05, + "loss": 0.4727, + "step": 20391 + }, + { + "epoch": 0.71, + "learning_rate": 3.786752009619884e-05, + "loss": 0.5008, + "step": 20392 + }, + { + "epoch": 0.71, + "learning_rate": 3.785890020071976e-05, + "loss": 0.4036, + "step": 20393 + }, + { + "epoch": 0.71, + "learning_rate": 3.785028105735514e-05, + "loss": 0.421, + "step": 20394 + }, + { + "epoch": 0.71, + "learning_rate": 3.7841662666209285e-05, + "loss": 0.4216, + "step": 20395 + }, + { + "epoch": 0.71, + "learning_rate": 3.7833045027386525e-05, + "loss": 0.4874, + "step": 20396 + }, + { + "epoch": 0.71, + "learning_rate": 3.782442814099111e-05, + "loss": 0.4581, + "step": 20397 + }, + { + "epoch": 0.71, + "learning_rate": 3.781581200712741e-05, + "loss": 0.4514, + "step": 20398 + }, + { + "epoch": 0.71, + "learning_rate": 3.7807196625899664e-05, + "loss": 0.4452, + "step": 20399 + }, + { + "epoch": 0.71, + "learning_rate": 3.7798581997412164e-05, + "loss": 0.4037, + "step": 20400 + }, + { + "epoch": 0.71, + "eval_loss": 0.4393974542617798, + "eval_runtime": 846.2989, + "eval_samples_per_second": 28.43, + "eval_steps_per_second": 14.215, + "step": 20400 + }, + { + "epoch": 0.71, + "learning_rate": 3.778996812176916e-05, + "loss": 0.3926, + "step": 20401 + }, + { + "epoch": 0.71, + "learning_rate": 3.778135499907489e-05, + "loss": 0.4399, + "step": 20402 + }, + { + "epoch": 0.71, + "learning_rate": 3.777274262943365e-05, + "loss": 0.315, + "step": 20403 + }, + { + "epoch": 0.71, + "learning_rate": 3.776413101294967e-05, + "loss": 0.4466, + "step": 20404 + }, + { + "epoch": 0.71, + "learning_rate": 3.775552014972715e-05, + "loss": 0.4011, + "step": 20405 + }, + { + "epoch": 0.71, + "learning_rate": 3.7746910039870346e-05, + "loss": 0.4719, + "step": 20406 + }, + { + "epoch": 0.71, + "learning_rate": 3.77383006834834e-05, + "loss": 0.4343, + "step": 20407 + }, + { + "epoch": 0.71, + "learning_rate": 3.7729692080670595e-05, + "loss": 0.5849, + "step": 20408 + }, + { + "epoch": 0.71, + "learning_rate": 3.772108423153609e-05, + "loss": 0.3972, + "step": 20409 + }, + { + "epoch": 0.71, + "learning_rate": 3.771247713618408e-05, + "loss": 0.4275, + "step": 20410 + }, + { + "epoch": 0.71, + "learning_rate": 3.770387079471871e-05, + "loss": 0.4541, + "step": 20411 + }, + { + "epoch": 0.71, + "learning_rate": 3.769526520724418e-05, + "loss": 0.5123, + "step": 20412 + }, + { + "epoch": 0.71, + "learning_rate": 3.768666037386459e-05, + "loss": 0.4988, + "step": 20413 + }, + { + "epoch": 0.71, + "learning_rate": 3.767805629468417e-05, + "loss": 0.4681, + "step": 20414 + }, + { + "epoch": 0.71, + "learning_rate": 3.766945296980701e-05, + "loss": 0.4908, + "step": 20415 + }, + { + "epoch": 0.71, + "learning_rate": 3.766085039933724e-05, + "loss": 0.4603, + "step": 20416 + }, + { + "epoch": 0.71, + "learning_rate": 3.765224858337899e-05, + "loss": 0.4531, + "step": 20417 + }, + { + "epoch": 0.71, + "learning_rate": 3.764364752203633e-05, + "loss": 0.6634, + "step": 20418 + }, + { + "epoch": 0.71, + "learning_rate": 3.763504721541343e-05, + "loss": 0.4717, + "step": 20419 + }, + { + "epoch": 0.71, + "learning_rate": 3.762644766361435e-05, + "loss": 0.5527, + "step": 20420 + }, + { + "epoch": 0.71, + "learning_rate": 3.7617848866743176e-05, + "loss": 0.4587, + "step": 20421 + }, + { + "epoch": 0.71, + "learning_rate": 3.760925082490398e-05, + "loss": 0.456, + "step": 20422 + }, + { + "epoch": 0.71, + "learning_rate": 3.760065353820078e-05, + "loss": 0.3895, + "step": 20423 + }, + { + "epoch": 0.71, + "learning_rate": 3.7592057006737725e-05, + "loss": 0.404, + "step": 20424 + }, + { + "epoch": 0.71, + "learning_rate": 3.758346123061881e-05, + "loss": 0.4631, + "step": 20425 + }, + { + "epoch": 0.71, + "learning_rate": 3.7574866209948065e-05, + "loss": 0.3991, + "step": 20426 + }, + { + "epoch": 0.71, + "learning_rate": 3.756627194482954e-05, + "loss": 0.4374, + "step": 20427 + }, + { + "epoch": 0.71, + "learning_rate": 3.755767843536725e-05, + "loss": 0.4266, + "step": 20428 + }, + { + "epoch": 0.71, + "learning_rate": 3.754908568166519e-05, + "loss": 0.4243, + "step": 20429 + }, + { + "epoch": 0.71, + "learning_rate": 3.754049368382737e-05, + "loss": 0.4539, + "step": 20430 + }, + { + "epoch": 0.71, + "learning_rate": 3.753190244195779e-05, + "loss": 0.4926, + "step": 20431 + }, + { + "epoch": 0.71, + "learning_rate": 3.752331195616038e-05, + "loss": 0.4895, + "step": 20432 + }, + { + "epoch": 0.72, + "learning_rate": 3.75147222265392e-05, + "loss": 0.3839, + "step": 20433 + }, + { + "epoch": 0.72, + "learning_rate": 3.750613325319817e-05, + "loss": 0.5098, + "step": 20434 + }, + { + "epoch": 0.72, + "learning_rate": 3.749754503624124e-05, + "loss": 0.5123, + "step": 20435 + }, + { + "epoch": 0.72, + "learning_rate": 3.7488957575772376e-05, + "loss": 0.4454, + "step": 20436 + }, + { + "epoch": 0.72, + "learning_rate": 3.7480370871895464e-05, + "loss": 0.4548, + "step": 20437 + }, + { + "epoch": 0.72, + "learning_rate": 3.74717849247145e-05, + "loss": 0.3766, + "step": 20438 + }, + { + "epoch": 0.72, + "learning_rate": 3.7463199734333385e-05, + "loss": 0.5208, + "step": 20439 + }, + { + "epoch": 0.72, + "learning_rate": 3.745461530085601e-05, + "loss": 0.4608, + "step": 20440 + }, + { + "epoch": 0.72, + "learning_rate": 3.7446031624386276e-05, + "loss": 0.5135, + "step": 20441 + }, + { + "epoch": 0.72, + "learning_rate": 3.7437448705028056e-05, + "loss": 0.4293, + "step": 20442 + }, + { + "epoch": 0.72, + "learning_rate": 3.742886654288529e-05, + "loss": 0.4502, + "step": 20443 + }, + { + "epoch": 0.72, + "learning_rate": 3.742028513806181e-05, + "loss": 0.4565, + "step": 20444 + }, + { + "epoch": 0.72, + "learning_rate": 3.741170449066149e-05, + "loss": 0.4396, + "step": 20445 + }, + { + "epoch": 0.72, + "learning_rate": 3.740312460078818e-05, + "loss": 0.4551, + "step": 20446 + }, + { + "epoch": 0.72, + "learning_rate": 3.739454546854571e-05, + "loss": 0.5253, + "step": 20447 + }, + { + "epoch": 0.72, + "learning_rate": 3.7385967094037924e-05, + "loss": 0.4281, + "step": 20448 + }, + { + "epoch": 0.72, + "learning_rate": 3.7377389477368676e-05, + "loss": 0.4962, + "step": 20449 + }, + { + "epoch": 0.72, + "learning_rate": 3.736881261864177e-05, + "loss": 0.4184, + "step": 20450 + }, + { + "epoch": 0.72, + "learning_rate": 3.7360236517961013e-05, + "loss": 0.4506, + "step": 20451 + }, + { + "epoch": 0.72, + "learning_rate": 3.735166117543018e-05, + "loss": 0.531, + "step": 20452 + }, + { + "epoch": 0.72, + "learning_rate": 3.7343086591153076e-05, + "loss": 0.4818, + "step": 20453 + }, + { + "epoch": 0.72, + "learning_rate": 3.73345127652335e-05, + "loss": 0.4285, + "step": 20454 + }, + { + "epoch": 0.72, + "learning_rate": 3.7325939697775226e-05, + "loss": 0.4813, + "step": 20455 + }, + { + "epoch": 0.72, + "learning_rate": 3.7317367388881994e-05, + "loss": 0.3958, + "step": 20456 + }, + { + "epoch": 0.72, + "learning_rate": 3.730879583865757e-05, + "loss": 0.4024, + "step": 20457 + }, + { + "epoch": 0.72, + "learning_rate": 3.730022504720566e-05, + "loss": 0.4017, + "step": 20458 + }, + { + "epoch": 0.72, + "learning_rate": 3.7291655014630066e-05, + "loss": 0.4886, + "step": 20459 + }, + { + "epoch": 0.72, + "learning_rate": 3.7283085741034486e-05, + "loss": 0.4483, + "step": 20460 + }, + { + "epoch": 0.72, + "learning_rate": 3.727451722652262e-05, + "loss": 0.4522, + "step": 20461 + }, + { + "epoch": 0.72, + "learning_rate": 3.72659494711982e-05, + "loss": 0.387, + "step": 20462 + }, + { + "epoch": 0.72, + "learning_rate": 3.725738247516487e-05, + "loss": 0.4039, + "step": 20463 + }, + { + "epoch": 0.72, + "learning_rate": 3.724881623852641e-05, + "loss": 0.4474, + "step": 20464 + }, + { + "epoch": 0.72, + "learning_rate": 3.7240250761386444e-05, + "loss": 0.3807, + "step": 20465 + }, + { + "epoch": 0.72, + "learning_rate": 3.723168604384863e-05, + "loss": 0.4361, + "step": 20466 + }, + { + "epoch": 0.72, + "learning_rate": 3.722312208601668e-05, + "loss": 0.3875, + "step": 20467 + }, + { + "epoch": 0.72, + "learning_rate": 3.7214558887994166e-05, + "loss": 0.4774, + "step": 20468 + }, + { + "epoch": 0.72, + "learning_rate": 3.720599644988482e-05, + "loss": 0.4262, + "step": 20469 + }, + { + "epoch": 0.72, + "learning_rate": 3.719743477179224e-05, + "loss": 0.451, + "step": 20470 + }, + { + "epoch": 0.72, + "learning_rate": 3.718887385382004e-05, + "loss": 0.5187, + "step": 20471 + }, + { + "epoch": 0.72, + "learning_rate": 3.718031369607186e-05, + "loss": 0.4088, + "step": 20472 + }, + { + "epoch": 0.72, + "learning_rate": 3.7171754298651243e-05, + "loss": 0.4806, + "step": 20473 + }, + { + "epoch": 0.72, + "learning_rate": 3.7163195661661864e-05, + "loss": 0.4106, + "step": 20474 + }, + { + "epoch": 0.72, + "learning_rate": 3.7154637785207294e-05, + "loss": 0.4262, + "step": 20475 + }, + { + "epoch": 0.72, + "learning_rate": 3.7146080669391095e-05, + "loss": 0.5079, + "step": 20476 + }, + { + "epoch": 0.72, + "learning_rate": 3.713752431431683e-05, + "loss": 0.4302, + "step": 20477 + }, + { + "epoch": 0.72, + "learning_rate": 3.7128968720088074e-05, + "loss": 0.3922, + "step": 20478 + }, + { + "epoch": 0.72, + "learning_rate": 3.712041388680835e-05, + "loss": 0.4232, + "step": 20479 + }, + { + "epoch": 0.72, + "learning_rate": 3.711185981458125e-05, + "loss": 0.4082, + "step": 20480 + }, + { + "epoch": 0.72, + "learning_rate": 3.710330650351028e-05, + "loss": 0.4098, + "step": 20481 + }, + { + "epoch": 0.72, + "learning_rate": 3.709475395369897e-05, + "loss": 0.4398, + "step": 20482 + }, + { + "epoch": 0.72, + "learning_rate": 3.7086202165250825e-05, + "loss": 0.461, + "step": 20483 + }, + { + "epoch": 0.72, + "learning_rate": 3.707765113826932e-05, + "loss": 0.491, + "step": 20484 + }, + { + "epoch": 0.72, + "learning_rate": 3.706910087285802e-05, + "loss": 0.4159, + "step": 20485 + }, + { + "epoch": 0.72, + "learning_rate": 3.7060551369120365e-05, + "loss": 0.4872, + "step": 20486 + }, + { + "epoch": 0.72, + "learning_rate": 3.7052002627159866e-05, + "loss": 0.4223, + "step": 20487 + }, + { + "epoch": 0.72, + "learning_rate": 3.704345464707996e-05, + "loss": 0.5128, + "step": 20488 + }, + { + "epoch": 0.72, + "learning_rate": 3.7034907428984064e-05, + "loss": 0.4695, + "step": 20489 + }, + { + "epoch": 0.72, + "learning_rate": 3.702636097297574e-05, + "loss": 0.4667, + "step": 20490 + }, + { + "epoch": 0.72, + "learning_rate": 3.7017815279158354e-05, + "loss": 0.4039, + "step": 20491 + }, + { + "epoch": 0.72, + "learning_rate": 3.700927034763535e-05, + "loss": 0.431, + "step": 20492 + }, + { + "epoch": 0.72, + "learning_rate": 3.7000726178510145e-05, + "loss": 0.4034, + "step": 20493 + }, + { + "epoch": 0.72, + "learning_rate": 3.699218277188614e-05, + "loss": 0.4788, + "step": 20494 + }, + { + "epoch": 0.72, + "learning_rate": 3.698364012786678e-05, + "loss": 0.4143, + "step": 20495 + }, + { + "epoch": 0.72, + "learning_rate": 3.697509824655544e-05, + "loss": 0.4223, + "step": 20496 + }, + { + "epoch": 0.72, + "learning_rate": 3.69665571280555e-05, + "loss": 0.4328, + "step": 20497 + }, + { + "epoch": 0.72, + "learning_rate": 3.6958016772470336e-05, + "loss": 0.4047, + "step": 20498 + }, + { + "epoch": 0.72, + "learning_rate": 3.694947717990329e-05, + "loss": 0.4361, + "step": 20499 + }, + { + "epoch": 0.72, + "learning_rate": 3.6940938350457776e-05, + "loss": 0.4055, + "step": 20500 + }, + { + "epoch": 0.72, + "learning_rate": 3.693240028423711e-05, + "loss": 0.4415, + "step": 20501 + }, + { + "epoch": 0.72, + "learning_rate": 3.6923862981344634e-05, + "loss": 0.4331, + "step": 20502 + }, + { + "epoch": 0.72, + "learning_rate": 3.691532644188368e-05, + "loss": 0.5087, + "step": 20503 + }, + { + "epoch": 0.72, + "learning_rate": 3.690679066595753e-05, + "loss": 0.4211, + "step": 20504 + }, + { + "epoch": 0.72, + "learning_rate": 3.6898255653669565e-05, + "loss": 0.4189, + "step": 20505 + }, + { + "epoch": 0.72, + "learning_rate": 3.6889721405123056e-05, + "loss": 0.4535, + "step": 20506 + }, + { + "epoch": 0.72, + "learning_rate": 3.688118792042129e-05, + "loss": 0.4464, + "step": 20507 + }, + { + "epoch": 0.72, + "learning_rate": 3.687265519966755e-05, + "loss": 0.4145, + "step": 20508 + }, + { + "epoch": 0.72, + "learning_rate": 3.686412324296507e-05, + "loss": 0.4346, + "step": 20509 + }, + { + "epoch": 0.72, + "learning_rate": 3.685559205041722e-05, + "loss": 0.5001, + "step": 20510 + }, + { + "epoch": 0.72, + "learning_rate": 3.6847061622127175e-05, + "loss": 0.4834, + "step": 20511 + }, + { + "epoch": 0.72, + "learning_rate": 3.683853195819821e-05, + "loss": 0.4645, + "step": 20512 + }, + { + "epoch": 0.72, + "learning_rate": 3.6830003058733556e-05, + "loss": 0.4128, + "step": 20513 + }, + { + "epoch": 0.72, + "learning_rate": 3.682147492383643e-05, + "loss": 0.3967, + "step": 20514 + }, + { + "epoch": 0.72, + "learning_rate": 3.681294755361003e-05, + "loss": 0.4351, + "step": 20515 + }, + { + "epoch": 0.72, + "learning_rate": 3.6804420948157627e-05, + "loss": 0.5221, + "step": 20516 + }, + { + "epoch": 0.72, + "learning_rate": 3.679589510758239e-05, + "loss": 0.4893, + "step": 20517 + }, + { + "epoch": 0.72, + "learning_rate": 3.6787370031987526e-05, + "loss": 0.5275, + "step": 20518 + }, + { + "epoch": 0.72, + "learning_rate": 3.6778845721476173e-05, + "loss": 0.4253, + "step": 20519 + }, + { + "epoch": 0.72, + "learning_rate": 3.6770322176151516e-05, + "loss": 0.4011, + "step": 20520 + }, + { + "epoch": 0.72, + "learning_rate": 3.6761799396116755e-05, + "loss": 0.5275, + "step": 20521 + }, + { + "epoch": 0.72, + "learning_rate": 3.675327738147504e-05, + "loss": 0.4409, + "step": 20522 + }, + { + "epoch": 0.72, + "learning_rate": 3.674475613232949e-05, + "loss": 0.518, + "step": 20523 + }, + { + "epoch": 0.72, + "learning_rate": 3.6736235648783244e-05, + "loss": 0.482, + "step": 20524 + }, + { + "epoch": 0.72, + "learning_rate": 3.672771593093941e-05, + "loss": 0.4825, + "step": 20525 + }, + { + "epoch": 0.72, + "learning_rate": 3.671919697890115e-05, + "loss": 0.5031, + "step": 20526 + }, + { + "epoch": 0.72, + "learning_rate": 3.6710678792771556e-05, + "loss": 0.4072, + "step": 20527 + }, + { + "epoch": 0.72, + "learning_rate": 3.670216137265372e-05, + "loss": 0.5087, + "step": 20528 + }, + { + "epoch": 0.72, + "learning_rate": 3.6693644718650736e-05, + "loss": 0.3887, + "step": 20529 + }, + { + "epoch": 0.72, + "learning_rate": 3.668512883086563e-05, + "loss": 0.4895, + "step": 20530 + }, + { + "epoch": 0.72, + "learning_rate": 3.6676613709401575e-05, + "loss": 0.42, + "step": 20531 + }, + { + "epoch": 0.72, + "learning_rate": 3.666809935436157e-05, + "loss": 0.4844, + "step": 20532 + }, + { + "epoch": 0.72, + "learning_rate": 3.665958576584868e-05, + "loss": 0.5273, + "step": 20533 + }, + { + "epoch": 0.72, + "learning_rate": 3.665107294396595e-05, + "loss": 0.4587, + "step": 20534 + }, + { + "epoch": 0.72, + "learning_rate": 3.6642560888816355e-05, + "loss": 0.5153, + "step": 20535 + }, + { + "epoch": 0.72, + "learning_rate": 3.6634049600503015e-05, + "loss": 0.3874, + "step": 20536 + }, + { + "epoch": 0.72, + "learning_rate": 3.6625539079128914e-05, + "loss": 0.4064, + "step": 20537 + }, + { + "epoch": 0.72, + "learning_rate": 3.661702932479704e-05, + "loss": 0.4747, + "step": 20538 + }, + { + "epoch": 0.72, + "learning_rate": 3.660852033761039e-05, + "loss": 0.4646, + "step": 20539 + }, + { + "epoch": 0.72, + "learning_rate": 3.660001211767192e-05, + "loss": 0.551, + "step": 20540 + }, + { + "epoch": 0.72, + "learning_rate": 3.6591504665084674e-05, + "loss": 0.4436, + "step": 20541 + }, + { + "epoch": 0.72, + "learning_rate": 3.6582997979951604e-05, + "loss": 0.4198, + "step": 20542 + }, + { + "epoch": 0.72, + "learning_rate": 3.6574492062375654e-05, + "loss": 0.4716, + "step": 20543 + }, + { + "epoch": 0.72, + "learning_rate": 3.656598691245977e-05, + "loss": 0.4094, + "step": 20544 + }, + { + "epoch": 0.72, + "learning_rate": 3.65574825303069e-05, + "loss": 0.4174, + "step": 20545 + }, + { + "epoch": 0.72, + "learning_rate": 3.654897891601994e-05, + "loss": 0.4137, + "step": 20546 + }, + { + "epoch": 0.72, + "learning_rate": 3.654047606970188e-05, + "loss": 0.4628, + "step": 20547 + }, + { + "epoch": 0.72, + "learning_rate": 3.653197399145559e-05, + "loss": 0.4704, + "step": 20548 + }, + { + "epoch": 0.72, + "learning_rate": 3.6523472681384e-05, + "loss": 0.4836, + "step": 20549 + }, + { + "epoch": 0.72, + "learning_rate": 3.6514972139589975e-05, + "loss": 0.4895, + "step": 20550 + }, + { + "epoch": 0.72, + "learning_rate": 3.650647236617638e-05, + "loss": 0.5064, + "step": 20551 + }, + { + "epoch": 0.72, + "learning_rate": 3.649797336124615e-05, + "loss": 0.3778, + "step": 20552 + }, + { + "epoch": 0.72, + "learning_rate": 3.648947512490214e-05, + "loss": 0.4907, + "step": 20553 + }, + { + "epoch": 0.72, + "learning_rate": 3.6480977657247174e-05, + "loss": 0.4356, + "step": 20554 + }, + { + "epoch": 0.72, + "learning_rate": 3.647248095838413e-05, + "loss": 0.4179, + "step": 20555 + }, + { + "epoch": 0.72, + "learning_rate": 3.646398502841578e-05, + "loss": 0.4611, + "step": 20556 + }, + { + "epoch": 0.72, + "learning_rate": 3.6455489867445045e-05, + "loss": 0.5243, + "step": 20557 + }, + { + "epoch": 0.72, + "learning_rate": 3.644699547557471e-05, + "loss": 0.4433, + "step": 20558 + }, + { + "epoch": 0.72, + "learning_rate": 3.643850185290758e-05, + "loss": 0.5224, + "step": 20559 + }, + { + "epoch": 0.72, + "learning_rate": 3.643000899954645e-05, + "loss": 0.417, + "step": 20560 + }, + { + "epoch": 0.72, + "learning_rate": 3.642151691559409e-05, + "loss": 0.4268, + "step": 20561 + }, + { + "epoch": 0.72, + "learning_rate": 3.6413025601153384e-05, + "loss": 0.3949, + "step": 20562 + }, + { + "epoch": 0.72, + "learning_rate": 3.6404535056326996e-05, + "loss": 0.4553, + "step": 20563 + }, + { + "epoch": 0.72, + "learning_rate": 3.6396045281217715e-05, + "loss": 0.3854, + "step": 20564 + }, + { + "epoch": 0.72, + "learning_rate": 3.6387556275928284e-05, + "loss": 0.4477, + "step": 20565 + }, + { + "epoch": 0.72, + "learning_rate": 3.6379068040561505e-05, + "loss": 0.455, + "step": 20566 + }, + { + "epoch": 0.72, + "learning_rate": 3.637058057522008e-05, + "loss": 0.4072, + "step": 20567 + }, + { + "epoch": 0.72, + "learning_rate": 3.636209388000673e-05, + "loss": 0.476, + "step": 20568 + }, + { + "epoch": 0.72, + "learning_rate": 3.635360795502418e-05, + "loss": 0.4182, + "step": 20569 + }, + { + "epoch": 0.72, + "learning_rate": 3.63451228003751e-05, + "loss": 0.3718, + "step": 20570 + }, + { + "epoch": 0.72, + "learning_rate": 3.633663841616226e-05, + "loss": 0.4614, + "step": 20571 + }, + { + "epoch": 0.72, + "learning_rate": 3.6328154802488314e-05, + "loss": 0.4121, + "step": 20572 + }, + { + "epoch": 0.72, + "learning_rate": 3.631967195945595e-05, + "loss": 0.4579, + "step": 20573 + }, + { + "epoch": 0.72, + "learning_rate": 3.631118988716782e-05, + "loss": 0.4821, + "step": 20574 + }, + { + "epoch": 0.72, + "learning_rate": 3.6302708585726565e-05, + "loss": 0.4296, + "step": 20575 + }, + { + "epoch": 0.72, + "learning_rate": 3.629422805523489e-05, + "loss": 0.4109, + "step": 20576 + }, + { + "epoch": 0.72, + "learning_rate": 3.628574829579543e-05, + "loss": 0.3986, + "step": 20577 + }, + { + "epoch": 0.72, + "learning_rate": 3.62772693075108e-05, + "loss": 0.5334, + "step": 20578 + }, + { + "epoch": 0.72, + "learning_rate": 3.626879109048363e-05, + "loss": 0.4562, + "step": 20579 + }, + { + "epoch": 0.72, + "learning_rate": 3.6260313644816535e-05, + "loss": 0.3961, + "step": 20580 + }, + { + "epoch": 0.72, + "learning_rate": 3.6251836970612075e-05, + "loss": 0.4947, + "step": 20581 + }, + { + "epoch": 0.72, + "learning_rate": 3.624336106797292e-05, + "loss": 0.3817, + "step": 20582 + }, + { + "epoch": 0.72, + "learning_rate": 3.6234885937001636e-05, + "loss": 0.328, + "step": 20583 + }, + { + "epoch": 0.72, + "learning_rate": 3.622641157780079e-05, + "loss": 0.4711, + "step": 20584 + }, + { + "epoch": 0.72, + "learning_rate": 3.621793799047295e-05, + "loss": 0.4851, + "step": 20585 + }, + { + "epoch": 0.72, + "learning_rate": 3.620946517512064e-05, + "loss": 0.4631, + "step": 20586 + }, + { + "epoch": 0.72, + "learning_rate": 3.6200993131846474e-05, + "loss": 0.4609, + "step": 20587 + }, + { + "epoch": 0.72, + "learning_rate": 3.619252186075297e-05, + "loss": 0.4779, + "step": 20588 + }, + { + "epoch": 0.72, + "learning_rate": 3.618405136194264e-05, + "loss": 0.4211, + "step": 20589 + }, + { + "epoch": 0.72, + "learning_rate": 3.617558163551802e-05, + "loss": 0.4059, + "step": 20590 + }, + { + "epoch": 0.72, + "learning_rate": 3.616711268158158e-05, + "loss": 0.4495, + "step": 20591 + }, + { + "epoch": 0.72, + "learning_rate": 3.6158644500235904e-05, + "loss": 0.5145, + "step": 20592 + }, + { + "epoch": 0.72, + "learning_rate": 3.6150177091583434e-05, + "loss": 0.4599, + "step": 20593 + }, + { + "epoch": 0.72, + "learning_rate": 3.6141710455726664e-05, + "loss": 0.4858, + "step": 20594 + }, + { + "epoch": 0.72, + "learning_rate": 3.6133244592768065e-05, + "loss": 0.427, + "step": 20595 + }, + { + "epoch": 0.72, + "learning_rate": 3.6124779502810066e-05, + "loss": 0.5584, + "step": 20596 + }, + { + "epoch": 0.72, + "learning_rate": 3.6116315185955194e-05, + "loss": 0.5343, + "step": 20597 + }, + { + "epoch": 0.72, + "learning_rate": 3.610785164230587e-05, + "loss": 0.3886, + "step": 20598 + }, + { + "epoch": 0.72, + "learning_rate": 3.6099388871964524e-05, + "loss": 0.5615, + "step": 20599 + }, + { + "epoch": 0.72, + "learning_rate": 3.609092687503357e-05, + "loss": 0.446, + "step": 20600 + }, + { + "epoch": 0.72, + "eval_loss": 0.43681588768959045, + "eval_runtime": 853.819, + "eval_samples_per_second": 28.179, + "eval_steps_per_second": 14.09, + "step": 20600 + }, + { + "epoch": 0.72, + "learning_rate": 3.60824656516154e-05, + "loss": 0.4192, + "step": 20601 + }, + { + "epoch": 0.72, + "learning_rate": 3.607400520181251e-05, + "loss": 0.436, + "step": 20602 + }, + { + "epoch": 0.72, + "learning_rate": 3.6065545525727254e-05, + "loss": 0.3904, + "step": 20603 + }, + { + "epoch": 0.72, + "learning_rate": 3.605708662346201e-05, + "loss": 0.4626, + "step": 20604 + }, + { + "epoch": 0.72, + "learning_rate": 3.6048628495119166e-05, + "loss": 0.425, + "step": 20605 + }, + { + "epoch": 0.72, + "learning_rate": 3.604017114080107e-05, + "loss": 0.4439, + "step": 20606 + }, + { + "epoch": 0.72, + "learning_rate": 3.603171456061014e-05, + "loss": 0.5274, + "step": 20607 + }, + { + "epoch": 0.72, + "learning_rate": 3.602325875464869e-05, + "loss": 0.4991, + "step": 20608 + }, + { + "epoch": 0.72, + "learning_rate": 3.6014803723019085e-05, + "loss": 0.4515, + "step": 20609 + }, + { + "epoch": 0.72, + "learning_rate": 3.6006349465823643e-05, + "loss": 0.4281, + "step": 20610 + }, + { + "epoch": 0.72, + "learning_rate": 3.5997895983164656e-05, + "loss": 0.5294, + "step": 20611 + }, + { + "epoch": 0.72, + "learning_rate": 3.598944327514452e-05, + "loss": 0.4815, + "step": 20612 + }, + { + "epoch": 0.72, + "learning_rate": 3.5980991341865474e-05, + "loss": 0.4878, + "step": 20613 + }, + { + "epoch": 0.72, + "learning_rate": 3.597254018342986e-05, + "loss": 0.5533, + "step": 20614 + }, + { + "epoch": 0.72, + "learning_rate": 3.596408979993993e-05, + "loss": 0.4254, + "step": 20615 + }, + { + "epoch": 0.72, + "learning_rate": 3.5955640191497976e-05, + "loss": 0.4778, + "step": 20616 + }, + { + "epoch": 0.72, + "learning_rate": 3.594719135820623e-05, + "loss": 0.4761, + "step": 20617 + }, + { + "epoch": 0.72, + "learning_rate": 3.593874330016702e-05, + "loss": 0.4314, + "step": 20618 + }, + { + "epoch": 0.72, + "learning_rate": 3.5930296017482556e-05, + "loss": 0.4616, + "step": 20619 + }, + { + "epoch": 0.72, + "learning_rate": 3.592184951025509e-05, + "loss": 0.5037, + "step": 20620 + }, + { + "epoch": 0.72, + "learning_rate": 3.591340377858685e-05, + "loss": 0.4138, + "step": 20621 + }, + { + "epoch": 0.72, + "learning_rate": 3.5904958822580015e-05, + "loss": 0.3442, + "step": 20622 + }, + { + "epoch": 0.72, + "learning_rate": 3.589651464233687e-05, + "loss": 0.5204, + "step": 20623 + }, + { + "epoch": 0.72, + "learning_rate": 3.5888071237959575e-05, + "loss": 0.5668, + "step": 20624 + }, + { + "epoch": 0.72, + "learning_rate": 3.5879628609550345e-05, + "loss": 0.4337, + "step": 20625 + }, + { + "epoch": 0.72, + "learning_rate": 3.587118675721135e-05, + "loss": 0.4712, + "step": 20626 + }, + { + "epoch": 0.72, + "learning_rate": 3.586274568104472e-05, + "loss": 0.4462, + "step": 20627 + }, + { + "epoch": 0.72, + "learning_rate": 3.585430538115271e-05, + "loss": 0.4523, + "step": 20628 + }, + { + "epoch": 0.72, + "learning_rate": 3.5845865857637426e-05, + "loss": 0.3602, + "step": 20629 + }, + { + "epoch": 0.72, + "learning_rate": 3.583742711060102e-05, + "loss": 0.4256, + "step": 20630 + }, + { + "epoch": 0.72, + "learning_rate": 3.582898914014563e-05, + "loss": 0.4393, + "step": 20631 + }, + { + "epoch": 0.72, + "learning_rate": 3.582055194637335e-05, + "loss": 0.4162, + "step": 20632 + }, + { + "epoch": 0.72, + "learning_rate": 3.581211552938637e-05, + "loss": 0.4114, + "step": 20633 + }, + { + "epoch": 0.72, + "learning_rate": 3.5803679889286745e-05, + "loss": 0.3774, + "step": 20634 + }, + { + "epoch": 0.72, + "learning_rate": 3.579524502617659e-05, + "loss": 0.4284, + "step": 20635 + }, + { + "epoch": 0.72, + "learning_rate": 3.578681094015801e-05, + "loss": 0.5194, + "step": 20636 + }, + { + "epoch": 0.72, + "learning_rate": 3.5778377631333026e-05, + "loss": 0.516, + "step": 20637 + }, + { + "epoch": 0.72, + "learning_rate": 3.576994509980378e-05, + "loss": 0.4547, + "step": 20638 + }, + { + "epoch": 0.72, + "learning_rate": 3.576151334567232e-05, + "loss": 0.3298, + "step": 20639 + }, + { + "epoch": 0.72, + "learning_rate": 3.575308236904067e-05, + "loss": 0.4123, + "step": 20640 + }, + { + "epoch": 0.72, + "learning_rate": 3.574465217001088e-05, + "loss": 0.4462, + "step": 20641 + }, + { + "epoch": 0.72, + "learning_rate": 3.573622274868498e-05, + "loss": 0.4093, + "step": 20642 + }, + { + "epoch": 0.72, + "learning_rate": 3.5727794105165026e-05, + "loss": 0.4243, + "step": 20643 + }, + { + "epoch": 0.72, + "learning_rate": 3.571936623955301e-05, + "loss": 0.4897, + "step": 20644 + }, + { + "epoch": 0.72, + "learning_rate": 3.571093915195094e-05, + "loss": 0.4581, + "step": 20645 + }, + { + "epoch": 0.72, + "learning_rate": 3.5702512842460825e-05, + "loss": 0.4922, + "step": 20646 + }, + { + "epoch": 0.72, + "learning_rate": 3.569408731118462e-05, + "loss": 0.5082, + "step": 20647 + }, + { + "epoch": 0.72, + "learning_rate": 3.568566255822429e-05, + "loss": 0.4468, + "step": 20648 + }, + { + "epoch": 0.72, + "learning_rate": 3.567723858368186e-05, + "loss": 0.4738, + "step": 20649 + }, + { + "epoch": 0.72, + "learning_rate": 3.566881538765927e-05, + "loss": 0.4509, + "step": 20650 + }, + { + "epoch": 0.72, + "learning_rate": 3.5660392970258446e-05, + "loss": 0.3886, + "step": 20651 + }, + { + "epoch": 0.72, + "learning_rate": 3.565197133158136e-05, + "loss": 0.5096, + "step": 20652 + }, + { + "epoch": 0.72, + "learning_rate": 3.564355047172987e-05, + "loss": 0.5043, + "step": 20653 + }, + { + "epoch": 0.72, + "learning_rate": 3.563513039080598e-05, + "loss": 0.4631, + "step": 20654 + }, + { + "epoch": 0.72, + "learning_rate": 3.562671108891158e-05, + "loss": 0.4151, + "step": 20655 + }, + { + "epoch": 0.72, + "learning_rate": 3.561829256614856e-05, + "loss": 0.5025, + "step": 20656 + }, + { + "epoch": 0.72, + "learning_rate": 3.5609874822618817e-05, + "loss": 0.3864, + "step": 20657 + }, + { + "epoch": 0.72, + "learning_rate": 3.560145785842419e-05, + "loss": 0.5367, + "step": 20658 + }, + { + "epoch": 0.72, + "learning_rate": 3.559304167366663e-05, + "loss": 0.3655, + "step": 20659 + }, + { + "epoch": 0.72, + "learning_rate": 3.558462626844795e-05, + "loss": 0.4874, + "step": 20660 + }, + { + "epoch": 0.72, + "learning_rate": 3.5576211642870024e-05, + "loss": 0.4283, + "step": 20661 + }, + { + "epoch": 0.72, + "learning_rate": 3.556779779703469e-05, + "loss": 0.4477, + "step": 20662 + }, + { + "epoch": 0.72, + "learning_rate": 3.5559384731043766e-05, + "loss": 0.4333, + "step": 20663 + }, + { + "epoch": 0.72, + "learning_rate": 3.555097244499912e-05, + "loss": 0.4963, + "step": 20664 + }, + { + "epoch": 0.72, + "learning_rate": 3.5542560939002536e-05, + "loss": 0.3508, + "step": 20665 + }, + { + "epoch": 0.72, + "learning_rate": 3.5534150213155834e-05, + "loss": 0.3531, + "step": 20666 + }, + { + "epoch": 0.72, + "learning_rate": 3.5525740267560815e-05, + "loss": 0.4721, + "step": 20667 + }, + { + "epoch": 0.72, + "learning_rate": 3.5517331102319226e-05, + "loss": 0.4453, + "step": 20668 + }, + { + "epoch": 0.72, + "learning_rate": 3.5508922717532914e-05, + "loss": 0.4255, + "step": 20669 + }, + { + "epoch": 0.72, + "learning_rate": 3.550051511330361e-05, + "loss": 0.4268, + "step": 20670 + }, + { + "epoch": 0.72, + "learning_rate": 3.549210828973308e-05, + "loss": 0.4543, + "step": 20671 + }, + { + "epoch": 0.72, + "learning_rate": 3.548370224692308e-05, + "loss": 0.4196, + "step": 20672 + }, + { + "epoch": 0.72, + "learning_rate": 3.54752969849753e-05, + "loss": 0.5116, + "step": 20673 + }, + { + "epoch": 0.72, + "learning_rate": 3.546689250399156e-05, + "loss": 0.4354, + "step": 20674 + }, + { + "epoch": 0.72, + "learning_rate": 3.545848880407353e-05, + "loss": 0.4403, + "step": 20675 + }, + { + "epoch": 0.72, + "learning_rate": 3.5450085885322936e-05, + "loss": 0.5013, + "step": 20676 + }, + { + "epoch": 0.72, + "learning_rate": 3.544168374784148e-05, + "loss": 0.3517, + "step": 20677 + }, + { + "epoch": 0.72, + "learning_rate": 3.543328239173081e-05, + "loss": 0.3467, + "step": 20678 + }, + { + "epoch": 0.72, + "learning_rate": 3.542488181709269e-05, + "loss": 0.4407, + "step": 20679 + }, + { + "epoch": 0.72, + "learning_rate": 3.5416482024028766e-05, + "loss": 0.4419, + "step": 20680 + }, + { + "epoch": 0.72, + "learning_rate": 3.540808301264069e-05, + "loss": 0.4508, + "step": 20681 + }, + { + "epoch": 0.72, + "learning_rate": 3.539968478303012e-05, + "loss": 0.4392, + "step": 20682 + }, + { + "epoch": 0.72, + "learning_rate": 3.5391287335298716e-05, + "loss": 0.4801, + "step": 20683 + }, + { + "epoch": 0.72, + "learning_rate": 3.5382890669548065e-05, + "loss": 0.5424, + "step": 20684 + }, + { + "epoch": 0.72, + "learning_rate": 3.537449478587986e-05, + "loss": 0.3725, + "step": 20685 + }, + { + "epoch": 0.72, + "learning_rate": 3.536609968439571e-05, + "loss": 0.4434, + "step": 20686 + }, + { + "epoch": 0.72, + "learning_rate": 3.5357705365197194e-05, + "loss": 0.5335, + "step": 20687 + }, + { + "epoch": 0.72, + "learning_rate": 3.534931182838593e-05, + "loss": 0.4633, + "step": 20688 + }, + { + "epoch": 0.72, + "learning_rate": 3.5340919074063474e-05, + "loss": 0.4415, + "step": 20689 + }, + { + "epoch": 0.72, + "learning_rate": 3.533252710233146e-05, + "loss": 0.4778, + "step": 20690 + }, + { + "epoch": 0.72, + "learning_rate": 3.5324135913291434e-05, + "loss": 0.4204, + "step": 20691 + }, + { + "epoch": 0.72, + "learning_rate": 3.531574550704496e-05, + "loss": 0.42, + "step": 20692 + }, + { + "epoch": 0.72, + "learning_rate": 3.5307355883693594e-05, + "loss": 0.4223, + "step": 20693 + }, + { + "epoch": 0.72, + "learning_rate": 3.529896704333884e-05, + "loss": 0.374, + "step": 20694 + }, + { + "epoch": 0.72, + "learning_rate": 3.529057898608228e-05, + "loss": 0.4654, + "step": 20695 + }, + { + "epoch": 0.72, + "learning_rate": 3.5282191712025424e-05, + "loss": 0.4124, + "step": 20696 + }, + { + "epoch": 0.72, + "learning_rate": 3.527380522126983e-05, + "loss": 0.4531, + "step": 20697 + }, + { + "epoch": 0.72, + "learning_rate": 3.526541951391687e-05, + "loss": 0.4443, + "step": 20698 + }, + { + "epoch": 0.72, + "learning_rate": 3.525703459006816e-05, + "loss": 0.475, + "step": 20699 + }, + { + "epoch": 0.72, + "learning_rate": 3.524865044982516e-05, + "loss": 0.4648, + "step": 20700 + }, + { + "epoch": 0.72, + "learning_rate": 3.524026709328933e-05, + "loss": 0.4806, + "step": 20701 + }, + { + "epoch": 0.72, + "learning_rate": 3.523188452056213e-05, + "loss": 0.4104, + "step": 20702 + }, + { + "epoch": 0.72, + "learning_rate": 3.5223502731745005e-05, + "loss": 0.4425, + "step": 20703 + }, + { + "epoch": 0.72, + "learning_rate": 3.521512172693946e-05, + "loss": 0.4795, + "step": 20704 + }, + { + "epoch": 0.72, + "learning_rate": 3.52067415062469e-05, + "loss": 0.4859, + "step": 20705 + }, + { + "epoch": 0.72, + "learning_rate": 3.5198362069768756e-05, + "loss": 0.4688, + "step": 20706 + }, + { + "epoch": 0.72, + "learning_rate": 3.5189983417606434e-05, + "loss": 0.4527, + "step": 20707 + }, + { + "epoch": 0.72, + "learning_rate": 3.518160554986133e-05, + "loss": 0.43, + "step": 20708 + }, + { + "epoch": 0.72, + "learning_rate": 3.517322846663489e-05, + "loss": 0.4309, + "step": 20709 + }, + { + "epoch": 0.72, + "learning_rate": 3.516485216802848e-05, + "loss": 0.4286, + "step": 20710 + }, + { + "epoch": 0.72, + "learning_rate": 3.5156476654143497e-05, + "loss": 0.5014, + "step": 20711 + }, + { + "epoch": 0.72, + "learning_rate": 3.51481019250813e-05, + "loss": 0.5005, + "step": 20712 + }, + { + "epoch": 0.72, + "learning_rate": 3.5139727980943204e-05, + "loss": 0.476, + "step": 20713 + }, + { + "epoch": 0.72, + "learning_rate": 3.5131354821830656e-05, + "loss": 0.4481, + "step": 20714 + }, + { + "epoch": 0.72, + "learning_rate": 3.512298244784494e-05, + "loss": 0.4067, + "step": 20715 + }, + { + "epoch": 0.72, + "learning_rate": 3.51146108590874e-05, + "loss": 0.4591, + "step": 20716 + }, + { + "epoch": 0.72, + "learning_rate": 3.510624005565937e-05, + "loss": 0.4383, + "step": 20717 + }, + { + "epoch": 0.72, + "learning_rate": 3.5097870037662154e-05, + "loss": 0.5485, + "step": 20718 + }, + { + "epoch": 0.73, + "learning_rate": 3.508950080519702e-05, + "loss": 0.4517, + "step": 20719 + }, + { + "epoch": 0.73, + "learning_rate": 3.5081132358365335e-05, + "loss": 0.3603, + "step": 20720 + }, + { + "epoch": 0.73, + "learning_rate": 3.5072764697268356e-05, + "loss": 0.476, + "step": 20721 + }, + { + "epoch": 0.73, + "learning_rate": 3.506439782200735e-05, + "loss": 0.3979, + "step": 20722 + }, + { + "epoch": 0.73, + "learning_rate": 3.505603173268359e-05, + "loss": 0.4717, + "step": 20723 + }, + { + "epoch": 0.73, + "learning_rate": 3.5047666429398305e-05, + "loss": 0.4406, + "step": 20724 + }, + { + "epoch": 0.73, + "learning_rate": 3.503930191225281e-05, + "loss": 0.4303, + "step": 20725 + }, + { + "epoch": 0.73, + "learning_rate": 3.503093818134829e-05, + "loss": 0.3634, + "step": 20726 + }, + { + "epoch": 0.73, + "learning_rate": 3.5022575236786005e-05, + "loss": 0.5144, + "step": 20727 + }, + { + "epoch": 0.73, + "learning_rate": 3.501421307866716e-05, + "loss": 0.4596, + "step": 20728 + }, + { + "epoch": 0.73, + "learning_rate": 3.5005851707092915e-05, + "loss": 0.4366, + "step": 20729 + }, + { + "epoch": 0.73, + "learning_rate": 3.499749112216456e-05, + "loss": 0.4031, + "step": 20730 + }, + { + "epoch": 0.73, + "learning_rate": 3.498913132398325e-05, + "loss": 0.5333, + "step": 20731 + }, + { + "epoch": 0.73, + "learning_rate": 3.4980772312650146e-05, + "loss": 0.4868, + "step": 20732 + }, + { + "epoch": 0.73, + "learning_rate": 3.4972414088266446e-05, + "loss": 0.3795, + "step": 20733 + }, + { + "epoch": 0.73, + "learning_rate": 3.496405665093327e-05, + "loss": 0.4664, + "step": 20734 + }, + { + "epoch": 0.73, + "learning_rate": 3.4955700000751835e-05, + "loss": 0.4286, + "step": 20735 + }, + { + "epoch": 0.73, + "learning_rate": 3.494734413782325e-05, + "loss": 0.4401, + "step": 20736 + }, + { + "epoch": 0.73, + "learning_rate": 3.493898906224865e-05, + "loss": 0.357, + "step": 20737 + }, + { + "epoch": 0.73, + "learning_rate": 3.493063477412917e-05, + "loss": 0.4284, + "step": 20738 + }, + { + "epoch": 0.73, + "learning_rate": 3.492228127356586e-05, + "loss": 0.4943, + "step": 20739 + }, + { + "epoch": 0.73, + "learning_rate": 3.4913928560659925e-05, + "loss": 0.4764, + "step": 20740 + }, + { + "epoch": 0.73, + "learning_rate": 3.490557663551243e-05, + "loss": 0.4554, + "step": 20741 + }, + { + "epoch": 0.73, + "learning_rate": 3.489722549822443e-05, + "loss": 0.4166, + "step": 20742 + }, + { + "epoch": 0.73, + "learning_rate": 3.488887514889702e-05, + "loss": 0.4063, + "step": 20743 + }, + { + "epoch": 0.73, + "learning_rate": 3.488052558763123e-05, + "loss": 0.4073, + "step": 20744 + }, + { + "epoch": 0.73, + "learning_rate": 3.487217681452819e-05, + "loss": 0.4514, + "step": 20745 + }, + { + "epoch": 0.73, + "learning_rate": 3.486382882968892e-05, + "loss": 0.4008, + "step": 20746 + }, + { + "epoch": 0.73, + "learning_rate": 3.485548163321443e-05, + "loss": 0.4812, + "step": 20747 + }, + { + "epoch": 0.73, + "learning_rate": 3.4847135225205775e-05, + "loss": 0.3269, + "step": 20748 + }, + { + "epoch": 0.73, + "learning_rate": 3.483878960576398e-05, + "loss": 0.4429, + "step": 20749 + }, + { + "epoch": 0.73, + "learning_rate": 3.483044477498999e-05, + "loss": 0.5142, + "step": 20750 + }, + { + "epoch": 0.73, + "learning_rate": 3.482210073298491e-05, + "loss": 0.4503, + "step": 20751 + }, + { + "epoch": 0.73, + "learning_rate": 3.4813757479849665e-05, + "loss": 0.4367, + "step": 20752 + }, + { + "epoch": 0.73, + "learning_rate": 3.480541501568525e-05, + "loss": 0.4182, + "step": 20753 + }, + { + "epoch": 0.73, + "learning_rate": 3.4797073340592645e-05, + "loss": 0.3905, + "step": 20754 + }, + { + "epoch": 0.73, + "learning_rate": 3.478873245467277e-05, + "loss": 0.4061, + "step": 20755 + }, + { + "epoch": 0.73, + "learning_rate": 3.478039235802664e-05, + "loss": 0.517, + "step": 20756 + }, + { + "epoch": 0.73, + "learning_rate": 3.477205305075516e-05, + "loss": 0.4066, + "step": 20757 + }, + { + "epoch": 0.73, + "learning_rate": 3.476371453295928e-05, + "loss": 0.405, + "step": 20758 + }, + { + "epoch": 0.73, + "learning_rate": 3.475537680473991e-05, + "loss": 0.479, + "step": 20759 + }, + { + "epoch": 0.73, + "learning_rate": 3.474703986619795e-05, + "loss": 0.4097, + "step": 20760 + }, + { + "epoch": 0.73, + "learning_rate": 3.473870371743435e-05, + "loss": 0.4799, + "step": 20761 + }, + { + "epoch": 0.73, + "learning_rate": 3.473036835854998e-05, + "loss": 0.4201, + "step": 20762 + }, + { + "epoch": 0.73, + "learning_rate": 3.472203378964573e-05, + "loss": 0.4535, + "step": 20763 + }, + { + "epoch": 0.73, + "learning_rate": 3.471370001082247e-05, + "loss": 0.4355, + "step": 20764 + }, + { + "epoch": 0.73, + "learning_rate": 3.470536702218103e-05, + "loss": 0.3925, + "step": 20765 + }, + { + "epoch": 0.73, + "learning_rate": 3.469703482382235e-05, + "loss": 0.4278, + "step": 20766 + }, + { + "epoch": 0.73, + "learning_rate": 3.468870341584722e-05, + "loss": 0.3824, + "step": 20767 + }, + { + "epoch": 0.73, + "learning_rate": 3.4680372798356496e-05, + "loss": 0.4623, + "step": 20768 + }, + { + "epoch": 0.73, + "learning_rate": 3.4672042971451e-05, + "loss": 0.4418, + "step": 20769 + }, + { + "epoch": 0.73, + "learning_rate": 3.466371393523152e-05, + "loss": 0.4269, + "step": 20770 + }, + { + "epoch": 0.73, + "learning_rate": 3.465538568979894e-05, + "loss": 0.3858, + "step": 20771 + }, + { + "epoch": 0.73, + "learning_rate": 3.4647058235254e-05, + "loss": 0.5175, + "step": 20772 + }, + { + "epoch": 0.73, + "learning_rate": 3.463873157169751e-05, + "loss": 0.4751, + "step": 20773 + }, + { + "epoch": 0.73, + "learning_rate": 3.463040569923025e-05, + "loss": 0.4717, + "step": 20774 + }, + { + "epoch": 0.73, + "learning_rate": 3.4622080617952955e-05, + "loss": 0.4483, + "step": 20775 + }, + { + "epoch": 0.73, + "learning_rate": 3.461375632796645e-05, + "loss": 0.4412, + "step": 20776 + }, + { + "epoch": 0.73, + "learning_rate": 3.4605432829371456e-05, + "loss": 0.5003, + "step": 20777 + }, + { + "epoch": 0.73, + "learning_rate": 3.459711012226872e-05, + "loss": 0.6107, + "step": 20778 + }, + { + "epoch": 0.73, + "learning_rate": 3.458878820675896e-05, + "loss": 0.4274, + "step": 20779 + }, + { + "epoch": 0.73, + "learning_rate": 3.458046708294287e-05, + "loss": 0.5554, + "step": 20780 + }, + { + "epoch": 0.73, + "learning_rate": 3.457214675092124e-05, + "loss": 0.4592, + "step": 20781 + }, + { + "epoch": 0.73, + "learning_rate": 3.4563827210794743e-05, + "loss": 0.5347, + "step": 20782 + }, + { + "epoch": 0.73, + "learning_rate": 3.455550846266405e-05, + "loss": 0.4645, + "step": 20783 + }, + { + "epoch": 0.73, + "learning_rate": 3.454719050662987e-05, + "loss": 0.4227, + "step": 20784 + }, + { + "epoch": 0.73, + "learning_rate": 3.453887334279287e-05, + "loss": 0.4239, + "step": 20785 + }, + { + "epoch": 0.73, + "learning_rate": 3.453055697125367e-05, + "loss": 0.4946, + "step": 20786 + }, + { + "epoch": 0.73, + "learning_rate": 3.452224139211301e-05, + "loss": 0.4414, + "step": 20787 + }, + { + "epoch": 0.73, + "learning_rate": 3.45139266054715e-05, + "loss": 0.4688, + "step": 20788 + }, + { + "epoch": 0.73, + "learning_rate": 3.4505612611429774e-05, + "loss": 0.3689, + "step": 20789 + }, + { + "epoch": 0.73, + "learning_rate": 3.449729941008844e-05, + "loss": 0.4976, + "step": 20790 + }, + { + "epoch": 0.73, + "learning_rate": 3.4488987001548125e-05, + "loss": 0.4262, + "step": 20791 + }, + { + "epoch": 0.73, + "learning_rate": 3.448067538590945e-05, + "loss": 0.385, + "step": 20792 + }, + { + "epoch": 0.73, + "learning_rate": 3.447236456327303e-05, + "loss": 0.484, + "step": 20793 + }, + { + "epoch": 0.73, + "learning_rate": 3.446405453373943e-05, + "loss": 0.3907, + "step": 20794 + }, + { + "epoch": 0.73, + "learning_rate": 3.4455745297409225e-05, + "loss": 0.5672, + "step": 20795 + }, + { + "epoch": 0.73, + "learning_rate": 3.4447436854382954e-05, + "loss": 0.4905, + "step": 20796 + }, + { + "epoch": 0.73, + "learning_rate": 3.4439129204761256e-05, + "loss": 0.4336, + "step": 20797 + }, + { + "epoch": 0.73, + "learning_rate": 3.443082234864463e-05, + "loss": 0.4392, + "step": 20798 + }, + { + "epoch": 0.73, + "learning_rate": 3.442251628613363e-05, + "loss": 0.4069, + "step": 20799 + }, + { + "epoch": 0.73, + "learning_rate": 3.441421101732878e-05, + "loss": 0.4381, + "step": 20800 + }, + { + "epoch": 0.73, + "eval_loss": 0.43474748730659485, + "eval_runtime": 854.1051, + "eval_samples_per_second": 28.17, + "eval_steps_per_second": 14.085, + "step": 20800 + }, + { + "epoch": 0.73, + "learning_rate": 3.440590654233057e-05, + "loss": 0.4407, + "step": 20801 + }, + { + "epoch": 0.73, + "learning_rate": 3.439760286123958e-05, + "loss": 0.4448, + "step": 20802 + }, + { + "epoch": 0.73, + "learning_rate": 3.4389299974156286e-05, + "loss": 0.3829, + "step": 20803 + }, + { + "epoch": 0.73, + "learning_rate": 3.4380997881181155e-05, + "loss": 0.4144, + "step": 20804 + }, + { + "epoch": 0.73, + "learning_rate": 3.43726965824147e-05, + "loss": 0.4543, + "step": 20805 + }, + { + "epoch": 0.73, + "learning_rate": 3.436439607795735e-05, + "loss": 0.4883, + "step": 20806 + }, + { + "epoch": 0.73, + "learning_rate": 3.435609636790962e-05, + "loss": 0.4314, + "step": 20807 + }, + { + "epoch": 0.73, + "learning_rate": 3.4347797452371954e-05, + "loss": 0.5156, + "step": 20808 + }, + { + "epoch": 0.73, + "learning_rate": 3.433949933144479e-05, + "loss": 0.4838, + "step": 20809 + }, + { + "epoch": 0.73, + "learning_rate": 3.433120200522856e-05, + "loss": 0.4802, + "step": 20810 + }, + { + "epoch": 0.73, + "learning_rate": 3.4322905473823654e-05, + "loss": 0.4485, + "step": 20811 + }, + { + "epoch": 0.73, + "learning_rate": 3.431460973733055e-05, + "loss": 0.4689, + "step": 20812 + }, + { + "epoch": 0.73, + "learning_rate": 3.4306314795849625e-05, + "loss": 0.4696, + "step": 20813 + }, + { + "epoch": 0.73, + "learning_rate": 3.4298020649481287e-05, + "loss": 0.4577, + "step": 20814 + }, + { + "epoch": 0.73, + "learning_rate": 3.428972729832591e-05, + "loss": 0.4568, + "step": 20815 + }, + { + "epoch": 0.73, + "learning_rate": 3.4281434742483874e-05, + "loss": 0.4207, + "step": 20816 + }, + { + "epoch": 0.73, + "learning_rate": 3.427314298205552e-05, + "loss": 0.4171, + "step": 20817 + }, + { + "epoch": 0.73, + "learning_rate": 3.4264852017141257e-05, + "loss": 0.4274, + "step": 20818 + }, + { + "epoch": 0.73, + "learning_rate": 3.4256561847841416e-05, + "loss": 0.3851, + "step": 20819 + }, + { + "epoch": 0.73, + "learning_rate": 3.424827247425633e-05, + "loss": 0.4746, + "step": 20820 + }, + { + "epoch": 0.73, + "learning_rate": 3.4239983896486327e-05, + "loss": 0.3939, + "step": 20821 + }, + { + "epoch": 0.73, + "learning_rate": 3.423169611463168e-05, + "loss": 0.4427, + "step": 20822 + }, + { + "epoch": 0.73, + "learning_rate": 3.4223409128792796e-05, + "loss": 0.4663, + "step": 20823 + }, + { + "epoch": 0.73, + "learning_rate": 3.421512293906992e-05, + "loss": 0.4911, + "step": 20824 + }, + { + "epoch": 0.73, + "learning_rate": 3.4206837545563344e-05, + "loss": 0.3873, + "step": 20825 + }, + { + "epoch": 0.73, + "learning_rate": 3.4198552948373355e-05, + "loss": 0.4978, + "step": 20826 + }, + { + "epoch": 0.73, + "learning_rate": 3.4190269147600186e-05, + "loss": 0.5614, + "step": 20827 + }, + { + "epoch": 0.73, + "learning_rate": 3.4181986143344166e-05, + "loss": 0.5131, + "step": 20828 + }, + { + "epoch": 0.73, + "learning_rate": 3.4173703935705516e-05, + "loss": 0.5009, + "step": 20829 + }, + { + "epoch": 0.73, + "learning_rate": 3.416542252478448e-05, + "loss": 0.3893, + "step": 20830 + }, + { + "epoch": 0.73, + "learning_rate": 3.415714191068128e-05, + "loss": 0.4276, + "step": 20831 + }, + { + "epoch": 0.73, + "learning_rate": 3.414886209349615e-05, + "loss": 0.4063, + "step": 20832 + }, + { + "epoch": 0.73, + "learning_rate": 3.41405830733293e-05, + "loss": 0.4292, + "step": 20833 + }, + { + "epoch": 0.73, + "learning_rate": 3.4132304850280935e-05, + "loss": 0.4354, + "step": 20834 + }, + { + "epoch": 0.73, + "learning_rate": 3.4124027424451254e-05, + "loss": 0.4419, + "step": 20835 + }, + { + "epoch": 0.73, + "learning_rate": 3.4115750795940394e-05, + "loss": 0.5396, + "step": 20836 + }, + { + "epoch": 0.73, + "learning_rate": 3.4107474964848604e-05, + "loss": 0.4322, + "step": 20837 + }, + { + "epoch": 0.73, + "learning_rate": 3.4099199931276016e-05, + "loss": 0.5646, + "step": 20838 + }, + { + "epoch": 0.73, + "learning_rate": 3.40909256953228e-05, + "loss": 0.5035, + "step": 20839 + }, + { + "epoch": 0.73, + "learning_rate": 3.408265225708906e-05, + "loss": 0.3796, + "step": 20840 + }, + { + "epoch": 0.73, + "learning_rate": 3.4074379616674954e-05, + "loss": 0.4408, + "step": 20841 + }, + { + "epoch": 0.73, + "learning_rate": 3.4066107774180634e-05, + "loss": 0.4706, + "step": 20842 + }, + { + "epoch": 0.73, + "learning_rate": 3.40578367297062e-05, + "loss": 0.4396, + "step": 20843 + }, + { + "epoch": 0.73, + "learning_rate": 3.4049566483351756e-05, + "loss": 0.4702, + "step": 20844 + }, + { + "epoch": 0.73, + "learning_rate": 3.40412970352174e-05, + "loss": 0.4065, + "step": 20845 + }, + { + "epoch": 0.73, + "learning_rate": 3.403302838540319e-05, + "loss": 0.4483, + "step": 20846 + }, + { + "epoch": 0.73, + "learning_rate": 3.4024760534009256e-05, + "loss": 0.4732, + "step": 20847 + }, + { + "epoch": 0.73, + "learning_rate": 3.4016493481135656e-05, + "loss": 0.4331, + "step": 20848 + }, + { + "epoch": 0.73, + "learning_rate": 3.400822722688244e-05, + "loss": 0.4156, + "step": 20849 + }, + { + "epoch": 0.73, + "learning_rate": 3.399996177134965e-05, + "loss": 0.5003, + "step": 20850 + }, + { + "epoch": 0.73, + "learning_rate": 3.399169711463733e-05, + "loss": 0.4118, + "step": 20851 + }, + { + "epoch": 0.73, + "learning_rate": 3.3983433256845476e-05, + "loss": 0.457, + "step": 20852 + }, + { + "epoch": 0.73, + "learning_rate": 3.397517019807418e-05, + "loss": 0.4382, + "step": 20853 + }, + { + "epoch": 0.73, + "learning_rate": 3.396690793842341e-05, + "loss": 0.3849, + "step": 20854 + }, + { + "epoch": 0.73, + "learning_rate": 3.395864647799317e-05, + "loss": 0.4867, + "step": 20855 + }, + { + "epoch": 0.73, + "learning_rate": 3.395038581688346e-05, + "loss": 0.4353, + "step": 20856 + }, + { + "epoch": 0.73, + "learning_rate": 3.394212595519421e-05, + "loss": 0.4042, + "step": 20857 + }, + { + "epoch": 0.73, + "learning_rate": 3.393386689302549e-05, + "loss": 0.457, + "step": 20858 + }, + { + "epoch": 0.73, + "learning_rate": 3.392560863047719e-05, + "loss": 0.4912, + "step": 20859 + }, + { + "epoch": 0.73, + "learning_rate": 3.391735116764929e-05, + "loss": 0.4541, + "step": 20860 + }, + { + "epoch": 0.73, + "learning_rate": 3.3909094504641726e-05, + "loss": 0.4036, + "step": 20861 + }, + { + "epoch": 0.73, + "learning_rate": 3.390083864155439e-05, + "loss": 0.4508, + "step": 20862 + }, + { + "epoch": 0.73, + "learning_rate": 3.389258357848728e-05, + "loss": 0.4432, + "step": 20863 + }, + { + "epoch": 0.73, + "learning_rate": 3.3884329315540274e-05, + "loss": 0.3935, + "step": 20864 + }, + { + "epoch": 0.73, + "learning_rate": 3.387607585281328e-05, + "loss": 0.4818, + "step": 20865 + }, + { + "epoch": 0.73, + "learning_rate": 3.386782319040619e-05, + "loss": 0.5009, + "step": 20866 + }, + { + "epoch": 0.73, + "learning_rate": 3.385957132841885e-05, + "loss": 0.4811, + "step": 20867 + }, + { + "epoch": 0.73, + "learning_rate": 3.38513202669512e-05, + "loss": 0.464, + "step": 20868 + }, + { + "epoch": 0.73, + "learning_rate": 3.384307000610308e-05, + "loss": 0.5256, + "step": 20869 + }, + { + "epoch": 0.73, + "learning_rate": 3.3834820545974356e-05, + "loss": 0.4401, + "step": 20870 + }, + { + "epoch": 0.73, + "learning_rate": 3.3826571886664846e-05, + "loss": 0.4992, + "step": 20871 + }, + { + "epoch": 0.73, + "learning_rate": 3.381832402827439e-05, + "loss": 0.4445, + "step": 20872 + }, + { + "epoch": 0.73, + "learning_rate": 3.381007697090284e-05, + "loss": 0.4586, + "step": 20873 + }, + { + "epoch": 0.73, + "learning_rate": 3.3801830714650006e-05, + "loss": 0.4216, + "step": 20874 + }, + { + "epoch": 0.73, + "learning_rate": 3.3793585259615687e-05, + "loss": 0.4231, + "step": 20875 + }, + { + "epoch": 0.73, + "learning_rate": 3.378534060589968e-05, + "loss": 0.431, + "step": 20876 + }, + { + "epoch": 0.73, + "learning_rate": 3.377709675360176e-05, + "loss": 0.4894, + "step": 20877 + }, + { + "epoch": 0.73, + "learning_rate": 3.376885370282173e-05, + "loss": 0.4237, + "step": 20878 + }, + { + "epoch": 0.73, + "learning_rate": 3.376061145365936e-05, + "loss": 0.3895, + "step": 20879 + }, + { + "epoch": 0.73, + "learning_rate": 3.375237000621439e-05, + "loss": 0.4409, + "step": 20880 + }, + { + "epoch": 0.73, + "learning_rate": 3.374412936058659e-05, + "loss": 0.5148, + "step": 20881 + }, + { + "epoch": 0.73, + "learning_rate": 3.373588951687567e-05, + "loss": 0.5077, + "step": 20882 + }, + { + "epoch": 0.73, + "learning_rate": 3.372765047518135e-05, + "loss": 0.493, + "step": 20883 + }, + { + "epoch": 0.73, + "learning_rate": 3.37194122356034e-05, + "loss": 0.4554, + "step": 20884 + }, + { + "epoch": 0.73, + "learning_rate": 3.3711174798241504e-05, + "loss": 0.4573, + "step": 20885 + }, + { + "epoch": 0.73, + "learning_rate": 3.3702938163195374e-05, + "loss": 0.3865, + "step": 20886 + }, + { + "epoch": 0.73, + "learning_rate": 3.3694702330564684e-05, + "loss": 0.4732, + "step": 20887 + }, + { + "epoch": 0.73, + "learning_rate": 3.36864673004491e-05, + "loss": 0.5643, + "step": 20888 + }, + { + "epoch": 0.73, + "learning_rate": 3.367823307294834e-05, + "loss": 0.4331, + "step": 20889 + }, + { + "epoch": 0.73, + "learning_rate": 3.366999964816203e-05, + "loss": 0.4027, + "step": 20890 + }, + { + "epoch": 0.73, + "learning_rate": 3.366176702618984e-05, + "loss": 0.4577, + "step": 20891 + }, + { + "epoch": 0.73, + "learning_rate": 3.3653535207131405e-05, + "loss": 0.5977, + "step": 20892 + }, + { + "epoch": 0.73, + "learning_rate": 3.364530419108632e-05, + "loss": 0.4713, + "step": 20893 + }, + { + "epoch": 0.73, + "learning_rate": 3.363707397815429e-05, + "loss": 0.4648, + "step": 20894 + }, + { + "epoch": 0.73, + "learning_rate": 3.362884456843487e-05, + "loss": 0.415, + "step": 20895 + }, + { + "epoch": 0.73, + "learning_rate": 3.362061596202768e-05, + "loss": 0.4657, + "step": 20896 + }, + { + "epoch": 0.73, + "learning_rate": 3.3612388159032303e-05, + "loss": 0.4241, + "step": 20897 + }, + { + "epoch": 0.73, + "learning_rate": 3.36041611595483e-05, + "loss": 0.4312, + "step": 20898 + }, + { + "epoch": 0.73, + "learning_rate": 3.35959349636753e-05, + "loss": 0.4234, + "step": 20899 + }, + { + "epoch": 0.73, + "learning_rate": 3.358770957151286e-05, + "loss": 0.4217, + "step": 20900 + }, + { + "epoch": 0.73, + "learning_rate": 3.35794849831605e-05, + "loss": 0.4479, + "step": 20901 + }, + { + "epoch": 0.73, + "learning_rate": 3.357126119871779e-05, + "loss": 0.4925, + "step": 20902 + }, + { + "epoch": 0.73, + "learning_rate": 3.356303821828421e-05, + "loss": 0.431, + "step": 20903 + }, + { + "epoch": 0.73, + "learning_rate": 3.355481604195938e-05, + "loss": 0.5026, + "step": 20904 + }, + { + "epoch": 0.73, + "learning_rate": 3.354659466984277e-05, + "loss": 0.4553, + "step": 20905 + }, + { + "epoch": 0.73, + "learning_rate": 3.3538374102033866e-05, + "loss": 0.4564, + "step": 20906 + }, + { + "epoch": 0.73, + "learning_rate": 3.353015433863219e-05, + "loss": 0.5034, + "step": 20907 + }, + { + "epoch": 0.73, + "learning_rate": 3.3521935379737194e-05, + "loss": 0.4214, + "step": 20908 + }, + { + "epoch": 0.73, + "learning_rate": 3.351371722544841e-05, + "loss": 0.3866, + "step": 20909 + }, + { + "epoch": 0.73, + "learning_rate": 3.3505499875865275e-05, + "loss": 0.4566, + "step": 20910 + }, + { + "epoch": 0.73, + "learning_rate": 3.349728333108725e-05, + "loss": 0.3816, + "step": 20911 + }, + { + "epoch": 0.73, + "learning_rate": 3.348906759121377e-05, + "loss": 0.4915, + "step": 20912 + }, + { + "epoch": 0.73, + "learning_rate": 3.3480852656344264e-05, + "loss": 0.4091, + "step": 20913 + }, + { + "epoch": 0.73, + "learning_rate": 3.3472638526578204e-05, + "loss": 0.4266, + "step": 20914 + }, + { + "epoch": 0.73, + "learning_rate": 3.346442520201499e-05, + "loss": 0.452, + "step": 20915 + }, + { + "epoch": 0.73, + "learning_rate": 3.345621268275402e-05, + "loss": 0.4354, + "step": 20916 + }, + { + "epoch": 0.73, + "learning_rate": 3.34480009688947e-05, + "loss": 0.4092, + "step": 20917 + }, + { + "epoch": 0.73, + "learning_rate": 3.343979006053641e-05, + "loss": 0.4241, + "step": 20918 + }, + { + "epoch": 0.73, + "learning_rate": 3.34315799577785e-05, + "loss": 0.4293, + "step": 20919 + }, + { + "epoch": 0.73, + "learning_rate": 3.342337066072042e-05, + "loss": 0.4591, + "step": 20920 + }, + { + "epoch": 0.73, + "learning_rate": 3.341516216946148e-05, + "loss": 0.4918, + "step": 20921 + }, + { + "epoch": 0.73, + "learning_rate": 3.340695448410103e-05, + "loss": 0.4726, + "step": 20922 + }, + { + "epoch": 0.73, + "learning_rate": 3.339874760473841e-05, + "loss": 0.4598, + "step": 20923 + }, + { + "epoch": 0.73, + "learning_rate": 3.339054153147294e-05, + "loss": 0.4447, + "step": 20924 + }, + { + "epoch": 0.73, + "learning_rate": 3.3382336264403976e-05, + "loss": 0.4334, + "step": 20925 + }, + { + "epoch": 0.73, + "learning_rate": 3.337413180363082e-05, + "loss": 0.4363, + "step": 20926 + }, + { + "epoch": 0.73, + "learning_rate": 3.336592814925276e-05, + "loss": 0.4128, + "step": 20927 + }, + { + "epoch": 0.73, + "learning_rate": 3.335772530136908e-05, + "loss": 0.5936, + "step": 20928 + }, + { + "epoch": 0.73, + "learning_rate": 3.3349523260079053e-05, + "loss": 0.3982, + "step": 20929 + }, + { + "epoch": 0.73, + "learning_rate": 3.3341322025482e-05, + "loss": 0.4184, + "step": 20930 + }, + { + "epoch": 0.73, + "learning_rate": 3.333312159767715e-05, + "loss": 0.4207, + "step": 20931 + }, + { + "epoch": 0.73, + "learning_rate": 3.332492197676377e-05, + "loss": 0.4786, + "step": 20932 + }, + { + "epoch": 0.73, + "learning_rate": 3.3316723162841076e-05, + "loss": 0.4512, + "step": 20933 + }, + { + "epoch": 0.73, + "learning_rate": 3.33085251560083e-05, + "loss": 0.4611, + "step": 20934 + }, + { + "epoch": 0.73, + "learning_rate": 3.3300327956364705e-05, + "loss": 0.4788, + "step": 20935 + }, + { + "epoch": 0.73, + "learning_rate": 3.329213156400949e-05, + "loss": 0.538, + "step": 20936 + }, + { + "epoch": 0.73, + "learning_rate": 3.328393597904184e-05, + "loss": 0.3592, + "step": 20937 + }, + { + "epoch": 0.73, + "learning_rate": 3.327574120156096e-05, + "loss": 0.4682, + "step": 20938 + }, + { + "epoch": 0.73, + "learning_rate": 3.3267547231666006e-05, + "loss": 0.4374, + "step": 20939 + }, + { + "epoch": 0.73, + "learning_rate": 3.325935406945622e-05, + "loss": 0.508, + "step": 20940 + }, + { + "epoch": 0.73, + "learning_rate": 3.325116171503071e-05, + "loss": 0.406, + "step": 20941 + }, + { + "epoch": 0.73, + "learning_rate": 3.3242970168488654e-05, + "loss": 0.5155, + "step": 20942 + }, + { + "epoch": 0.73, + "learning_rate": 3.3234779429929196e-05, + "loss": 0.4107, + "step": 20943 + }, + { + "epoch": 0.73, + "learning_rate": 3.322658949945142e-05, + "loss": 0.4061, + "step": 20944 + }, + { + "epoch": 0.73, + "learning_rate": 3.3218400377154546e-05, + "loss": 0.4088, + "step": 20945 + }, + { + "epoch": 0.73, + "learning_rate": 3.321021206313762e-05, + "loss": 0.4122, + "step": 20946 + }, + { + "epoch": 0.73, + "learning_rate": 3.320202455749979e-05, + "loss": 0.4409, + "step": 20947 + }, + { + "epoch": 0.73, + "learning_rate": 3.3193837860340114e-05, + "loss": 0.4122, + "step": 20948 + }, + { + "epoch": 0.73, + "learning_rate": 3.3185651971757704e-05, + "loss": 0.4099, + "step": 20949 + }, + { + "epoch": 0.73, + "learning_rate": 3.3177466891851594e-05, + "loss": 0.4268, + "step": 20950 + }, + { + "epoch": 0.73, + "learning_rate": 3.316928262072092e-05, + "loss": 0.422, + "step": 20951 + }, + { + "epoch": 0.73, + "learning_rate": 3.316109915846469e-05, + "loss": 0.4241, + "step": 20952 + }, + { + "epoch": 0.73, + "learning_rate": 3.315291650518197e-05, + "loss": 0.5145, + "step": 20953 + }, + { + "epoch": 0.73, + "learning_rate": 3.31447346609718e-05, + "loss": 0.4532, + "step": 20954 + }, + { + "epoch": 0.73, + "learning_rate": 3.3136553625933166e-05, + "loss": 0.4529, + "step": 20955 + }, + { + "epoch": 0.73, + "learning_rate": 3.312837340016515e-05, + "loss": 0.4685, + "step": 20956 + }, + { + "epoch": 0.73, + "learning_rate": 3.312019398376672e-05, + "loss": 0.3984, + "step": 20957 + }, + { + "epoch": 0.73, + "learning_rate": 3.311201537683689e-05, + "loss": 0.4931, + "step": 20958 + }, + { + "epoch": 0.73, + "learning_rate": 3.310383757947464e-05, + "loss": 0.4129, + "step": 20959 + }, + { + "epoch": 0.73, + "learning_rate": 3.309566059177892e-05, + "loss": 0.4554, + "step": 20960 + }, + { + "epoch": 0.73, + "learning_rate": 3.308748441384876e-05, + "loss": 0.4383, + "step": 20961 + }, + { + "epoch": 0.73, + "learning_rate": 3.307930904578309e-05, + "loss": 0.379, + "step": 20962 + }, + { + "epoch": 0.73, + "learning_rate": 3.3071134487680855e-05, + "loss": 0.4439, + "step": 20963 + }, + { + "epoch": 0.73, + "learning_rate": 3.306296073964099e-05, + "loss": 0.3338, + "step": 20964 + }, + { + "epoch": 0.73, + "learning_rate": 3.305478780176241e-05, + "loss": 0.3655, + "step": 20965 + }, + { + "epoch": 0.73, + "learning_rate": 3.304661567414412e-05, + "loss": 0.535, + "step": 20966 + }, + { + "epoch": 0.73, + "learning_rate": 3.303844435688494e-05, + "loss": 0.4307, + "step": 20967 + }, + { + "epoch": 0.73, + "learning_rate": 3.3030273850083784e-05, + "loss": 0.4326, + "step": 20968 + }, + { + "epoch": 0.73, + "learning_rate": 3.3022104153839514e-05, + "loss": 0.3885, + "step": 20969 + }, + { + "epoch": 0.73, + "learning_rate": 3.301393526825111e-05, + "loss": 0.4765, + "step": 20970 + }, + { + "epoch": 0.73, + "learning_rate": 3.3005767193417356e-05, + "loss": 0.413, + "step": 20971 + }, + { + "epoch": 0.73, + "learning_rate": 3.299759992943716e-05, + "loss": 0.5206, + "step": 20972 + }, + { + "epoch": 0.73, + "learning_rate": 3.298943347640935e-05, + "loss": 0.4158, + "step": 20973 + }, + { + "epoch": 0.73, + "learning_rate": 3.298126783443273e-05, + "loss": 0.4742, + "step": 20974 + }, + { + "epoch": 0.73, + "learning_rate": 3.297310300360622e-05, + "loss": 0.4038, + "step": 20975 + }, + { + "epoch": 0.73, + "learning_rate": 3.2964938984028584e-05, + "loss": 0.4365, + "step": 20976 + }, + { + "epoch": 0.73, + "learning_rate": 3.295677577579864e-05, + "loss": 0.4568, + "step": 20977 + }, + { + "epoch": 0.73, + "learning_rate": 3.2948613379015206e-05, + "loss": 0.4243, + "step": 20978 + }, + { + "epoch": 0.73, + "learning_rate": 3.2940451793777025e-05, + "loss": 0.4849, + "step": 20979 + }, + { + "epoch": 0.73, + "learning_rate": 3.293229102018295e-05, + "loss": 0.3738, + "step": 20980 + }, + { + "epoch": 0.73, + "learning_rate": 3.292413105833172e-05, + "loss": 0.4481, + "step": 20981 + }, + { + "epoch": 0.73, + "learning_rate": 3.29159719083221e-05, + "loss": 0.4218, + "step": 20982 + }, + { + "epoch": 0.73, + "learning_rate": 3.290781357025284e-05, + "loss": 0.4039, + "step": 20983 + }, + { + "epoch": 0.73, + "learning_rate": 3.289965604422268e-05, + "loss": 0.4799, + "step": 20984 + }, + { + "epoch": 0.73, + "learning_rate": 3.289149933033033e-05, + "loss": 0.5363, + "step": 20985 + }, + { + "epoch": 0.73, + "learning_rate": 3.2883343428674574e-05, + "loss": 0.5013, + "step": 20986 + }, + { + "epoch": 0.73, + "learning_rate": 3.287518833935409e-05, + "loss": 0.3719, + "step": 20987 + }, + { + "epoch": 0.73, + "learning_rate": 3.2867034062467584e-05, + "loss": 0.5244, + "step": 20988 + }, + { + "epoch": 0.73, + "learning_rate": 3.285888059811375e-05, + "loss": 0.3699, + "step": 20989 + }, + { + "epoch": 0.73, + "learning_rate": 3.285072794639125e-05, + "loss": 0.3846, + "step": 20990 + }, + { + "epoch": 0.73, + "learning_rate": 3.2842576107398794e-05, + "loss": 0.4369, + "step": 20991 + }, + { + "epoch": 0.73, + "learning_rate": 3.283442508123504e-05, + "loss": 0.4071, + "step": 20992 + }, + { + "epoch": 0.73, + "learning_rate": 3.282627486799864e-05, + "loss": 0.4404, + "step": 20993 + }, + { + "epoch": 0.73, + "learning_rate": 3.281812546778824e-05, + "loss": 0.4263, + "step": 20994 + }, + { + "epoch": 0.73, + "learning_rate": 3.280997688070243e-05, + "loss": 0.4809, + "step": 20995 + }, + { + "epoch": 0.73, + "learning_rate": 3.280182910683991e-05, + "loss": 0.4422, + "step": 20996 + }, + { + "epoch": 0.73, + "learning_rate": 3.2793682146299254e-05, + "loss": 0.4633, + "step": 20997 + }, + { + "epoch": 0.73, + "learning_rate": 3.2785535999179074e-05, + "loss": 0.433, + "step": 20998 + }, + { + "epoch": 0.73, + "learning_rate": 3.2777390665577966e-05, + "loss": 0.4198, + "step": 20999 + }, + { + "epoch": 0.73, + "learning_rate": 3.276924614559448e-05, + "loss": 0.4849, + "step": 21000 + }, + { + "epoch": 0.73, + "eval_loss": 0.432409405708313, + "eval_runtime": 845.3607, + "eval_samples_per_second": 28.461, + "eval_steps_per_second": 14.231, + "step": 21000 + }, + { + "epoch": 0.73, + "learning_rate": 3.2761102439327264e-05, + "loss": 0.496, + "step": 21001 + }, + { + "epoch": 0.73, + "learning_rate": 3.275295954687484e-05, + "loss": 0.4612, + "step": 21002 + }, + { + "epoch": 0.73, + "learning_rate": 3.274481746833578e-05, + "loss": 0.4924, + "step": 21003 + }, + { + "epoch": 0.74, + "learning_rate": 3.2736676203808604e-05, + "loss": 0.4218, + "step": 21004 + }, + { + "epoch": 0.74, + "learning_rate": 3.272853575339184e-05, + "loss": 0.4785, + "step": 21005 + }, + { + "epoch": 0.74, + "learning_rate": 3.272039611718407e-05, + "loss": 0.4439, + "step": 21006 + }, + { + "epoch": 0.74, + "learning_rate": 3.271225729528379e-05, + "loss": 0.4132, + "step": 21007 + }, + { + "epoch": 0.74, + "learning_rate": 3.270411928778948e-05, + "loss": 0.4515, + "step": 21008 + }, + { + "epoch": 0.74, + "learning_rate": 3.2695982094799674e-05, + "loss": 0.5411, + "step": 21009 + }, + { + "epoch": 0.74, + "learning_rate": 3.268784571641279e-05, + "loss": 0.4215, + "step": 21010 + }, + { + "epoch": 0.74, + "learning_rate": 3.267971015272739e-05, + "loss": 0.4776, + "step": 21011 + }, + { + "epoch": 0.74, + "learning_rate": 3.2671575403841917e-05, + "loss": 0.4056, + "step": 21012 + }, + { + "epoch": 0.74, + "learning_rate": 3.26634414698548e-05, + "loss": 0.4091, + "step": 21013 + }, + { + "epoch": 0.74, + "learning_rate": 3.265530835086452e-05, + "loss": 0.4974, + "step": 21014 + }, + { + "epoch": 0.74, + "learning_rate": 3.2647176046969463e-05, + "loss": 0.4127, + "step": 21015 + }, + { + "epoch": 0.74, + "learning_rate": 3.263904455826813e-05, + "loss": 0.4478, + "step": 21016 + }, + { + "epoch": 0.74, + "learning_rate": 3.263091388485889e-05, + "loss": 0.3712, + "step": 21017 + }, + { + "epoch": 0.74, + "learning_rate": 3.262278402684017e-05, + "loss": 0.3942, + "step": 21018 + }, + { + "epoch": 0.74, + "learning_rate": 3.2614654984310356e-05, + "loss": 0.4702, + "step": 21019 + }, + { + "epoch": 0.74, + "learning_rate": 3.260652675736785e-05, + "loss": 0.4769, + "step": 21020 + }, + { + "epoch": 0.74, + "learning_rate": 3.2598399346110984e-05, + "loss": 0.4327, + "step": 21021 + }, + { + "epoch": 0.74, + "learning_rate": 3.259027275063821e-05, + "loss": 0.4241, + "step": 21022 + }, + { + "epoch": 0.74, + "learning_rate": 3.2582146971047834e-05, + "loss": 0.5115, + "step": 21023 + }, + { + "epoch": 0.74, + "learning_rate": 3.257402200743821e-05, + "loss": 0.4515, + "step": 21024 + }, + { + "epoch": 0.74, + "learning_rate": 3.256589785990769e-05, + "loss": 0.4375, + "step": 21025 + }, + { + "epoch": 0.74, + "learning_rate": 3.2557774528554553e-05, + "loss": 0.5452, + "step": 21026 + }, + { + "epoch": 0.74, + "learning_rate": 3.254965201347721e-05, + "loss": 0.4297, + "step": 21027 + }, + { + "epoch": 0.74, + "learning_rate": 3.254153031477389e-05, + "loss": 0.481, + "step": 21028 + }, + { + "epoch": 0.74, + "learning_rate": 3.253340943254295e-05, + "loss": 0.4452, + "step": 21029 + }, + { + "epoch": 0.74, + "learning_rate": 3.252528936688264e-05, + "loss": 0.4107, + "step": 21030 + }, + { + "epoch": 0.74, + "learning_rate": 3.251717011789122e-05, + "loss": 0.3839, + "step": 21031 + }, + { + "epoch": 0.74, + "learning_rate": 3.250905168566703e-05, + "loss": 0.4922, + "step": 21032 + }, + { + "epoch": 0.74, + "learning_rate": 3.2500934070308274e-05, + "loss": 0.4197, + "step": 21033 + }, + { + "epoch": 0.74, + "learning_rate": 3.2492817271913244e-05, + "loss": 0.417, + "step": 21034 + }, + { + "epoch": 0.74, + "learning_rate": 3.248470129058014e-05, + "loss": 0.4445, + "step": 21035 + }, + { + "epoch": 0.74, + "learning_rate": 3.247658612640718e-05, + "loss": 0.3859, + "step": 21036 + }, + { + "epoch": 0.74, + "learning_rate": 3.246847177949266e-05, + "loss": 0.4592, + "step": 21037 + }, + { + "epoch": 0.74, + "learning_rate": 3.2460358249934734e-05, + "loss": 0.4927, + "step": 21038 + }, + { + "epoch": 0.74, + "learning_rate": 3.245224553783162e-05, + "loss": 0.4821, + "step": 21039 + }, + { + "epoch": 0.74, + "learning_rate": 3.2444133643281496e-05, + "loss": 0.5006, + "step": 21040 + }, + { + "epoch": 0.74, + "learning_rate": 3.2436022566382505e-05, + "loss": 0.4191, + "step": 21041 + }, + { + "epoch": 0.74, + "learning_rate": 3.242791230723291e-05, + "loss": 0.3697, + "step": 21042 + }, + { + "epoch": 0.74, + "learning_rate": 3.241980286593082e-05, + "loss": 0.4419, + "step": 21043 + }, + { + "epoch": 0.74, + "learning_rate": 3.241169424257438e-05, + "loss": 0.4376, + "step": 21044 + }, + { + "epoch": 0.74, + "learning_rate": 3.240358643726177e-05, + "loss": 0.4351, + "step": 21045 + }, + { + "epoch": 0.74, + "learning_rate": 3.2395479450091036e-05, + "loss": 0.3984, + "step": 21046 + }, + { + "epoch": 0.74, + "learning_rate": 3.23873732811604e-05, + "loss": 0.46, + "step": 21047 + }, + { + "epoch": 0.74, + "learning_rate": 3.2379267930567926e-05, + "loss": 0.398, + "step": 21048 + }, + { + "epoch": 0.74, + "learning_rate": 3.2371163398411716e-05, + "loss": 0.4842, + "step": 21049 + }, + { + "epoch": 0.74, + "learning_rate": 3.2363059684789874e-05, + "loss": 0.365, + "step": 21050 + }, + { + "epoch": 0.74, + "learning_rate": 3.235495678980047e-05, + "loss": 0.4448, + "step": 21051 + }, + { + "epoch": 0.74, + "learning_rate": 3.234685471354155e-05, + "loss": 0.3978, + "step": 21052 + }, + { + "epoch": 0.74, + "learning_rate": 3.233875345611125e-05, + "loss": 0.5421, + "step": 21053 + }, + { + "epoch": 0.74, + "learning_rate": 3.233065301760756e-05, + "loss": 0.4438, + "step": 21054 + }, + { + "epoch": 0.74, + "learning_rate": 3.232255339812855e-05, + "loss": 0.4279, + "step": 21055 + }, + { + "epoch": 0.74, + "learning_rate": 3.231445459777225e-05, + "loss": 0.4835, + "step": 21056 + }, + { + "epoch": 0.74, + "learning_rate": 3.2306356616636624e-05, + "loss": 0.4311, + "step": 21057 + }, + { + "epoch": 0.74, + "learning_rate": 3.229825945481978e-05, + "loss": 0.3927, + "step": 21058 + }, + { + "epoch": 0.74, + "learning_rate": 3.229016311241968e-05, + "loss": 0.3913, + "step": 21059 + }, + { + "epoch": 0.74, + "learning_rate": 3.228206758953432e-05, + "loss": 0.4068, + "step": 21060 + }, + { + "epoch": 0.74, + "learning_rate": 3.227397288626166e-05, + "loss": 0.5036, + "step": 21061 + }, + { + "epoch": 0.74, + "learning_rate": 3.2265879002699665e-05, + "loss": 0.4051, + "step": 21062 + }, + { + "epoch": 0.74, + "learning_rate": 3.225778593894635e-05, + "loss": 0.4921, + "step": 21063 + }, + { + "epoch": 0.74, + "learning_rate": 3.224969369509965e-05, + "loss": 0.4706, + "step": 21064 + }, + { + "epoch": 0.74, + "learning_rate": 3.224160227125749e-05, + "loss": 0.4745, + "step": 21065 + }, + { + "epoch": 0.74, + "learning_rate": 3.223351166751781e-05, + "loss": 0.4768, + "step": 21066 + }, + { + "epoch": 0.74, + "learning_rate": 3.22254218839785e-05, + "loss": 0.4655, + "step": 21067 + }, + { + "epoch": 0.74, + "learning_rate": 3.2217332920737555e-05, + "loss": 0.421, + "step": 21068 + }, + { + "epoch": 0.74, + "learning_rate": 3.220924477789282e-05, + "loss": 0.4284, + "step": 21069 + }, + { + "epoch": 0.74, + "learning_rate": 3.220115745554221e-05, + "loss": 0.3563, + "step": 21070 + }, + { + "epoch": 0.74, + "learning_rate": 3.219307095378359e-05, + "loss": 0.4068, + "step": 21071 + }, + { + "epoch": 0.74, + "learning_rate": 3.218498527271482e-05, + "loss": 0.4219, + "step": 21072 + }, + { + "epoch": 0.74, + "learning_rate": 3.217690041243381e-05, + "loss": 0.4191, + "step": 21073 + }, + { + "epoch": 0.74, + "learning_rate": 3.216881637303839e-05, + "loss": 0.5091, + "step": 21074 + }, + { + "epoch": 0.74, + "learning_rate": 3.216073315462641e-05, + "loss": 0.4581, + "step": 21075 + }, + { + "epoch": 0.74, + "learning_rate": 3.2152650757295686e-05, + "loss": 0.4518, + "step": 21076 + }, + { + "epoch": 0.74, + "learning_rate": 3.214456918114403e-05, + "loss": 0.4904, + "step": 21077 + }, + { + "epoch": 0.74, + "learning_rate": 3.213648842626932e-05, + "loss": 0.43, + "step": 21078 + }, + { + "epoch": 0.74, + "learning_rate": 3.21284084927693e-05, + "loss": 0.3693, + "step": 21079 + }, + { + "epoch": 0.74, + "learning_rate": 3.2120329380741795e-05, + "loss": 0.4232, + "step": 21080 + }, + { + "epoch": 0.74, + "learning_rate": 3.2112251090284585e-05, + "loss": 0.4946, + "step": 21081 + }, + { + "epoch": 0.74, + "learning_rate": 3.210417362149539e-05, + "loss": 0.5209, + "step": 21082 + }, + { + "epoch": 0.74, + "learning_rate": 3.209609697447206e-05, + "loss": 0.4078, + "step": 21083 + }, + { + "epoch": 0.74, + "learning_rate": 3.208802114931231e-05, + "loss": 0.4562, + "step": 21084 + }, + { + "epoch": 0.74, + "learning_rate": 3.207994614611389e-05, + "loss": 0.3895, + "step": 21085 + }, + { + "epoch": 0.74, + "learning_rate": 3.2071871964974534e-05, + "loss": 0.4949, + "step": 21086 + }, + { + "epoch": 0.74, + "learning_rate": 3.2063798605991945e-05, + "loss": 0.4006, + "step": 21087 + }, + { + "epoch": 0.74, + "learning_rate": 3.205572606926384e-05, + "loss": 0.4162, + "step": 21088 + }, + { + "epoch": 0.74, + "learning_rate": 3.2047654354887956e-05, + "loss": 0.4788, + "step": 21089 + }, + { + "epoch": 0.74, + "learning_rate": 3.2039583462961976e-05, + "loss": 0.4865, + "step": 21090 + }, + { + "epoch": 0.74, + "learning_rate": 3.203151339358358e-05, + "loss": 0.485, + "step": 21091 + }, + { + "epoch": 0.74, + "learning_rate": 3.2023444146850444e-05, + "loss": 0.4344, + "step": 21092 + }, + { + "epoch": 0.74, + "learning_rate": 3.20153757228602e-05, + "loss": 0.4331, + "step": 21093 + }, + { + "epoch": 0.74, + "learning_rate": 3.200730812171055e-05, + "loss": 0.4098, + "step": 21094 + }, + { + "epoch": 0.74, + "learning_rate": 3.1999241343499144e-05, + "loss": 0.4271, + "step": 21095 + }, + { + "epoch": 0.74, + "learning_rate": 3.199117538832358e-05, + "loss": 0.4472, + "step": 21096 + }, + { + "epoch": 0.74, + "learning_rate": 3.19831102562815e-05, + "loss": 0.4703, + "step": 21097 + }, + { + "epoch": 0.74, + "learning_rate": 3.197504594747048e-05, + "loss": 0.3963, + "step": 21098 + }, + { + "epoch": 0.74, + "learning_rate": 3.196698246198821e-05, + "loss": 0.4278, + "step": 21099 + }, + { + "epoch": 0.74, + "learning_rate": 3.195891979993222e-05, + "loss": 0.4258, + "step": 21100 + }, + { + "epoch": 0.74, + "learning_rate": 3.195085796140015e-05, + "loss": 0.4417, + "step": 21101 + }, + { + "epoch": 0.74, + "learning_rate": 3.194279694648947e-05, + "loss": 0.4112, + "step": 21102 + }, + { + "epoch": 0.74, + "learning_rate": 3.193473675529786e-05, + "loss": 0.3747, + "step": 21103 + }, + { + "epoch": 0.74, + "learning_rate": 3.192667738792281e-05, + "loss": 0.4096, + "step": 21104 + }, + { + "epoch": 0.74, + "learning_rate": 3.191861884446189e-05, + "loss": 0.4085, + "step": 21105 + }, + { + "epoch": 0.74, + "learning_rate": 3.191056112501263e-05, + "loss": 0.5267, + "step": 21106 + }, + { + "epoch": 0.74, + "learning_rate": 3.1902504229672515e-05, + "loss": 0.4089, + "step": 21107 + }, + { + "epoch": 0.74, + "learning_rate": 3.1894448158539125e-05, + "loss": 0.4779, + "step": 21108 + }, + { + "epoch": 0.74, + "learning_rate": 3.188639291170995e-05, + "loss": 0.4612, + "step": 21109 + }, + { + "epoch": 0.74, + "learning_rate": 3.187833848928247e-05, + "loss": 0.3469, + "step": 21110 + }, + { + "epoch": 0.74, + "learning_rate": 3.187028489135417e-05, + "loss": 0.4418, + "step": 21111 + }, + { + "epoch": 0.74, + "learning_rate": 3.1862232118022503e-05, + "loss": 0.4237, + "step": 21112 + }, + { + "epoch": 0.74, + "learning_rate": 3.1854180169384996e-05, + "loss": 0.4854, + "step": 21113 + }, + { + "epoch": 0.74, + "learning_rate": 3.1846129045539065e-05, + "loss": 0.5103, + "step": 21114 + }, + { + "epoch": 0.74, + "learning_rate": 3.183807874658217e-05, + "loss": 0.4165, + "step": 21115 + }, + { + "epoch": 0.74, + "learning_rate": 3.183002927261173e-05, + "loss": 0.4473, + "step": 21116 + }, + { + "epoch": 0.74, + "learning_rate": 3.182198062372513e-05, + "loss": 0.3943, + "step": 21117 + }, + { + "epoch": 0.74, + "learning_rate": 3.1813932800019886e-05, + "loss": 0.3604, + "step": 21118 + }, + { + "epoch": 0.74, + "learning_rate": 3.1805885801593335e-05, + "loss": 0.4457, + "step": 21119 + }, + { + "epoch": 0.74, + "learning_rate": 3.1797839628542895e-05, + "loss": 0.4254, + "step": 21120 + }, + { + "epoch": 0.74, + "learning_rate": 3.178979428096595e-05, + "loss": 0.3971, + "step": 21121 + }, + { + "epoch": 0.74, + "learning_rate": 3.178174975895985e-05, + "loss": 0.389, + "step": 21122 + }, + { + "epoch": 0.74, + "learning_rate": 3.1773706062621966e-05, + "loss": 0.4706, + "step": 21123 + }, + { + "epoch": 0.74, + "learning_rate": 3.1765663192049696e-05, + "loss": 0.4109, + "step": 21124 + }, + { + "epoch": 0.74, + "learning_rate": 3.175762114734036e-05, + "loss": 0.4233, + "step": 21125 + }, + { + "epoch": 0.74, + "learning_rate": 3.174957992859128e-05, + "loss": 0.4229, + "step": 21126 + }, + { + "epoch": 0.74, + "learning_rate": 3.17415395358998e-05, + "loss": 0.4382, + "step": 21127 + }, + { + "epoch": 0.74, + "learning_rate": 3.173349996936319e-05, + "loss": 0.4952, + "step": 21128 + }, + { + "epoch": 0.74, + "learning_rate": 3.1725461229078834e-05, + "loss": 0.5142, + "step": 21129 + }, + { + "epoch": 0.74, + "learning_rate": 3.171742331514398e-05, + "loss": 0.4336, + "step": 21130 + }, + { + "epoch": 0.74, + "learning_rate": 3.170938622765593e-05, + "loss": 0.4267, + "step": 21131 + }, + { + "epoch": 0.74, + "learning_rate": 3.1701349966711935e-05, + "loss": 0.4341, + "step": 21132 + }, + { + "epoch": 0.74, + "learning_rate": 3.169331453240925e-05, + "loss": 0.3785, + "step": 21133 + }, + { + "epoch": 0.74, + "learning_rate": 3.168527992484519e-05, + "loss": 0.5059, + "step": 21134 + }, + { + "epoch": 0.74, + "learning_rate": 3.1677246144116965e-05, + "loss": 0.4252, + "step": 21135 + }, + { + "epoch": 0.74, + "learning_rate": 3.166921319032181e-05, + "loss": 0.4291, + "step": 21136 + }, + { + "epoch": 0.74, + "learning_rate": 3.166118106355696e-05, + "loss": 0.3873, + "step": 21137 + }, + { + "epoch": 0.74, + "learning_rate": 3.1653149763919585e-05, + "loss": 0.4518, + "step": 21138 + }, + { + "epoch": 0.74, + "learning_rate": 3.164511929150696e-05, + "loss": 0.4113, + "step": 21139 + }, + { + "epoch": 0.74, + "learning_rate": 3.163708964641625e-05, + "loss": 0.4239, + "step": 21140 + }, + { + "epoch": 0.74, + "learning_rate": 3.162906082874464e-05, + "loss": 0.5081, + "step": 21141 + }, + { + "epoch": 0.74, + "learning_rate": 3.1621032838589305e-05, + "loss": 0.463, + "step": 21142 + }, + { + "epoch": 0.74, + "learning_rate": 3.161300567604738e-05, + "loss": 0.3969, + "step": 21143 + }, + { + "epoch": 0.74, + "learning_rate": 3.160497934121609e-05, + "loss": 0.4525, + "step": 21144 + }, + { + "epoch": 0.74, + "learning_rate": 3.159695383419253e-05, + "loss": 0.5077, + "step": 21145 + }, + { + "epoch": 0.74, + "learning_rate": 3.1588929155073855e-05, + "loss": 0.4469, + "step": 21146 + }, + { + "epoch": 0.74, + "learning_rate": 3.158090530395718e-05, + "loss": 0.4297, + "step": 21147 + }, + { + "epoch": 0.74, + "learning_rate": 3.157288228093957e-05, + "loss": 0.5128, + "step": 21148 + }, + { + "epoch": 0.74, + "learning_rate": 3.1564860086118243e-05, + "loss": 0.4226, + "step": 21149 + }, + { + "epoch": 0.74, + "learning_rate": 3.155683871959022e-05, + "loss": 0.4626, + "step": 21150 + }, + { + "epoch": 0.74, + "learning_rate": 3.154881818145261e-05, + "loss": 0.4445, + "step": 21151 + }, + { + "epoch": 0.74, + "learning_rate": 3.154079847180247e-05, + "loss": 0.4462, + "step": 21152 + }, + { + "epoch": 0.74, + "learning_rate": 3.1532779590736885e-05, + "loss": 0.4647, + "step": 21153 + }, + { + "epoch": 0.74, + "learning_rate": 3.152476153835286e-05, + "loss": 0.5188, + "step": 21154 + }, + { + "epoch": 0.74, + "learning_rate": 3.1516744314747505e-05, + "loss": 0.423, + "step": 21155 + }, + { + "epoch": 0.74, + "learning_rate": 3.150872792001783e-05, + "loss": 0.4471, + "step": 21156 + }, + { + "epoch": 0.74, + "learning_rate": 3.1500712354260865e-05, + "loss": 0.4343, + "step": 21157 + }, + { + "epoch": 0.74, + "learning_rate": 3.149269761757362e-05, + "loss": 0.4405, + "step": 21158 + }, + { + "epoch": 0.74, + "learning_rate": 3.148468371005306e-05, + "loss": 0.4374, + "step": 21159 + }, + { + "epoch": 0.74, + "learning_rate": 3.147667063179626e-05, + "loss": 0.4128, + "step": 21160 + }, + { + "epoch": 0.74, + "learning_rate": 3.1468658382900164e-05, + "loss": 0.5019, + "step": 21161 + }, + { + "epoch": 0.74, + "learning_rate": 3.146064696346174e-05, + "loss": 0.3608, + "step": 21162 + }, + { + "epoch": 0.74, + "learning_rate": 3.145263637357797e-05, + "loss": 0.4692, + "step": 21163 + }, + { + "epoch": 0.74, + "learning_rate": 3.1444626613345764e-05, + "loss": 0.4034, + "step": 21164 + }, + { + "epoch": 0.74, + "learning_rate": 3.143661768286212e-05, + "loss": 0.4002, + "step": 21165 + }, + { + "epoch": 0.74, + "learning_rate": 3.142860958222398e-05, + "loss": 0.4422, + "step": 21166 + }, + { + "epoch": 0.74, + "learning_rate": 3.142060231152822e-05, + "loss": 0.4092, + "step": 21167 + }, + { + "epoch": 0.74, + "learning_rate": 3.1412595870871786e-05, + "loss": 0.4605, + "step": 21168 + }, + { + "epoch": 0.74, + "learning_rate": 3.1404590260351555e-05, + "loss": 0.4072, + "step": 21169 + }, + { + "epoch": 0.74, + "learning_rate": 3.139658548006446e-05, + "loss": 0.5221, + "step": 21170 + }, + { + "epoch": 0.74, + "learning_rate": 3.1388581530107365e-05, + "loss": 0.3598, + "step": 21171 + }, + { + "epoch": 0.74, + "learning_rate": 3.138057841057715e-05, + "loss": 0.353, + "step": 21172 + }, + { + "epoch": 0.74, + "learning_rate": 3.1372576121570674e-05, + "loss": 0.4127, + "step": 21173 + }, + { + "epoch": 0.74, + "learning_rate": 3.136457466318477e-05, + "loss": 0.4725, + "step": 21174 + }, + { + "epoch": 0.74, + "learning_rate": 3.135657403551633e-05, + "loss": 0.3525, + "step": 21175 + }, + { + "epoch": 0.74, + "learning_rate": 3.134857423866217e-05, + "loss": 0.4913, + "step": 21176 + }, + { + "epoch": 0.74, + "learning_rate": 3.13405752727191e-05, + "loss": 0.3522, + "step": 21177 + }, + { + "epoch": 0.74, + "learning_rate": 3.133257713778394e-05, + "loss": 0.4166, + "step": 21178 + }, + { + "epoch": 0.74, + "learning_rate": 3.132457983395347e-05, + "loss": 0.4151, + "step": 21179 + }, + { + "epoch": 0.74, + "learning_rate": 3.1316583361324534e-05, + "loss": 0.4885, + "step": 21180 + }, + { + "epoch": 0.74, + "learning_rate": 3.13085877199939e-05, + "loss": 0.4553, + "step": 21181 + }, + { + "epoch": 0.74, + "learning_rate": 3.130059291005833e-05, + "loss": 0.5159, + "step": 21182 + }, + { + "epoch": 0.74, + "learning_rate": 3.12925989316146e-05, + "loss": 0.4513, + "step": 21183 + }, + { + "epoch": 0.74, + "learning_rate": 3.128460578475941e-05, + "loss": 0.5228, + "step": 21184 + }, + { + "epoch": 0.74, + "learning_rate": 3.12766134695896e-05, + "loss": 0.43, + "step": 21185 + }, + { + "epoch": 0.74, + "learning_rate": 3.126862198620184e-05, + "loss": 0.4318, + "step": 21186 + }, + { + "epoch": 0.74, + "learning_rate": 3.126063133469287e-05, + "loss": 0.4423, + "step": 21187 + }, + { + "epoch": 0.74, + "learning_rate": 3.12526415151594e-05, + "loss": 0.4382, + "step": 21188 + }, + { + "epoch": 0.74, + "learning_rate": 3.124465252769813e-05, + "loss": 0.4271, + "step": 21189 + }, + { + "epoch": 0.74, + "learning_rate": 3.123666437240572e-05, + "loss": 0.4104, + "step": 21190 + }, + { + "epoch": 0.74, + "learning_rate": 3.122867704937893e-05, + "loss": 0.4127, + "step": 21191 + }, + { + "epoch": 0.74, + "learning_rate": 3.1220690558714394e-05, + "loss": 0.4359, + "step": 21192 + }, + { + "epoch": 0.74, + "learning_rate": 3.121270490050877e-05, + "loss": 0.4333, + "step": 21193 + }, + { + "epoch": 0.74, + "learning_rate": 3.120472007485873e-05, + "loss": 0.5267, + "step": 21194 + }, + { + "epoch": 0.74, + "learning_rate": 3.119673608186085e-05, + "loss": 0.5461, + "step": 21195 + }, + { + "epoch": 0.74, + "learning_rate": 3.1188752921611864e-05, + "loss": 0.5037, + "step": 21196 + }, + { + "epoch": 0.74, + "learning_rate": 3.118077059420834e-05, + "loss": 0.4151, + "step": 21197 + }, + { + "epoch": 0.74, + "learning_rate": 3.117278909974689e-05, + "loss": 0.4781, + "step": 21198 + }, + { + "epoch": 0.74, + "learning_rate": 3.116480843832413e-05, + "loss": 0.4339, + "step": 21199 + }, + { + "epoch": 0.74, + "learning_rate": 3.115682861003663e-05, + "loss": 0.4726, + "step": 21200 + }, + { + "epoch": 0.74, + "eval_loss": 0.4302586317062378, + "eval_runtime": 852.6945, + "eval_samples_per_second": 28.216, + "eval_steps_per_second": 14.108, + "step": 21200 + }, + { + "epoch": 0.74, + "learning_rate": 3.1148849614981004e-05, + "loss": 0.5743, + "step": 21201 + }, + { + "epoch": 0.74, + "learning_rate": 3.114087145325381e-05, + "loss": 0.3352, + "step": 21202 + }, + { + "epoch": 0.74, + "learning_rate": 3.113289412495161e-05, + "loss": 0.5194, + "step": 21203 + }, + { + "epoch": 0.74, + "learning_rate": 3.1124917630170955e-05, + "loss": 0.4636, + "step": 21204 + }, + { + "epoch": 0.74, + "learning_rate": 3.111694196900836e-05, + "loss": 0.4056, + "step": 21205 + }, + { + "epoch": 0.74, + "learning_rate": 3.110896714156042e-05, + "loss": 0.4247, + "step": 21206 + }, + { + "epoch": 0.74, + "learning_rate": 3.110099314792362e-05, + "loss": 0.4644, + "step": 21207 + }, + { + "epoch": 0.74, + "learning_rate": 3.109301998819447e-05, + "loss": 0.4282, + "step": 21208 + }, + { + "epoch": 0.74, + "learning_rate": 3.108504766246948e-05, + "loss": 0.4618, + "step": 21209 + }, + { + "epoch": 0.74, + "learning_rate": 3.107707617084511e-05, + "loss": 0.4488, + "step": 21210 + }, + { + "epoch": 0.74, + "learning_rate": 3.10691055134179e-05, + "loss": 0.45, + "step": 21211 + }, + { + "epoch": 0.74, + "learning_rate": 3.1061135690284285e-05, + "loss": 0.4404, + "step": 21212 + }, + { + "epoch": 0.74, + "learning_rate": 3.105316670154074e-05, + "loss": 0.4045, + "step": 21213 + }, + { + "epoch": 0.74, + "learning_rate": 3.104519854728371e-05, + "loss": 0.4912, + "step": 21214 + }, + { + "epoch": 0.74, + "learning_rate": 3.1037231227609584e-05, + "loss": 0.4876, + "step": 21215 + }, + { + "epoch": 0.74, + "learning_rate": 3.102926474261489e-05, + "loss": 0.3661, + "step": 21216 + }, + { + "epoch": 0.74, + "learning_rate": 3.1021299092396005e-05, + "loss": 0.4378, + "step": 21217 + }, + { + "epoch": 0.74, + "learning_rate": 3.1013334277049335e-05, + "loss": 0.4271, + "step": 21218 + }, + { + "epoch": 0.74, + "learning_rate": 3.100537029667129e-05, + "loss": 0.4795, + "step": 21219 + }, + { + "epoch": 0.74, + "learning_rate": 3.099740715135825e-05, + "loss": 0.4453, + "step": 21220 + }, + { + "epoch": 0.74, + "learning_rate": 3.098944484120656e-05, + "loss": 0.492, + "step": 21221 + }, + { + "epoch": 0.74, + "learning_rate": 3.098148336631267e-05, + "loss": 0.458, + "step": 21222 + }, + { + "epoch": 0.74, + "learning_rate": 3.097352272677291e-05, + "loss": 0.3917, + "step": 21223 + }, + { + "epoch": 0.74, + "learning_rate": 3.09655629226836e-05, + "loss": 0.4913, + "step": 21224 + }, + { + "epoch": 0.74, + "learning_rate": 3.095760395414112e-05, + "loss": 0.4107, + "step": 21225 + }, + { + "epoch": 0.74, + "learning_rate": 3.0949645821241745e-05, + "loss": 0.4679, + "step": 21226 + }, + { + "epoch": 0.74, + "learning_rate": 3.094168852408186e-05, + "loss": 0.4019, + "step": 21227 + }, + { + "epoch": 0.74, + "learning_rate": 3.093373206275775e-05, + "loss": 0.4413, + "step": 21228 + }, + { + "epoch": 0.74, + "learning_rate": 3.092577643736571e-05, + "loss": 0.4472, + "step": 21229 + }, + { + "epoch": 0.74, + "learning_rate": 3.091782164800202e-05, + "loss": 0.5467, + "step": 21230 + }, + { + "epoch": 0.74, + "learning_rate": 3.090986769476295e-05, + "loss": 0.4289, + "step": 21231 + }, + { + "epoch": 0.74, + "learning_rate": 3.090191457774482e-05, + "loss": 0.497, + "step": 21232 + }, + { + "epoch": 0.74, + "learning_rate": 3.089396229704385e-05, + "loss": 0.4409, + "step": 21233 + }, + { + "epoch": 0.74, + "learning_rate": 3.088601085275631e-05, + "loss": 0.3964, + "step": 21234 + }, + { + "epoch": 0.74, + "learning_rate": 3.0878060244978424e-05, + "loss": 0.38, + "step": 21235 + }, + { + "epoch": 0.74, + "learning_rate": 3.087011047380642e-05, + "loss": 0.4947, + "step": 21236 + }, + { + "epoch": 0.74, + "learning_rate": 3.086216153933652e-05, + "loss": 0.4667, + "step": 21237 + }, + { + "epoch": 0.74, + "learning_rate": 3.0854213441664936e-05, + "loss": 0.4147, + "step": 21238 + }, + { + "epoch": 0.74, + "learning_rate": 3.084626618088786e-05, + "loss": 0.3264, + "step": 21239 + }, + { + "epoch": 0.74, + "learning_rate": 3.083831975710145e-05, + "loss": 0.4355, + "step": 21240 + }, + { + "epoch": 0.74, + "learning_rate": 3.0830374170401966e-05, + "loss": 0.3879, + "step": 21241 + }, + { + "epoch": 0.74, + "learning_rate": 3.082242942088551e-05, + "loss": 0.41, + "step": 21242 + }, + { + "epoch": 0.74, + "learning_rate": 3.081448550864826e-05, + "loss": 0.4886, + "step": 21243 + }, + { + "epoch": 0.74, + "learning_rate": 3.080654243378637e-05, + "loss": 0.4474, + "step": 21244 + }, + { + "epoch": 0.74, + "learning_rate": 3.079860019639593e-05, + "loss": 0.4261, + "step": 21245 + }, + { + "epoch": 0.74, + "learning_rate": 3.079065879657314e-05, + "loss": 0.514, + "step": 21246 + }, + { + "epoch": 0.74, + "learning_rate": 3.0782718234414086e-05, + "loss": 0.3688, + "step": 21247 + }, + { + "epoch": 0.74, + "learning_rate": 3.077477851001488e-05, + "loss": 0.3312, + "step": 21248 + }, + { + "epoch": 0.74, + "learning_rate": 3.076683962347161e-05, + "loss": 0.5207, + "step": 21249 + }, + { + "epoch": 0.74, + "learning_rate": 3.075890157488033e-05, + "loss": 0.4164, + "step": 21250 + }, + { + "epoch": 0.74, + "learning_rate": 3.075096436433719e-05, + "loss": 0.4449, + "step": 21251 + }, + { + "epoch": 0.74, + "learning_rate": 3.074302799193821e-05, + "loss": 0.5008, + "step": 21252 + }, + { + "epoch": 0.74, + "learning_rate": 3.073509245777946e-05, + "loss": 0.4569, + "step": 21253 + }, + { + "epoch": 0.74, + "learning_rate": 3.072715776195698e-05, + "loss": 0.4284, + "step": 21254 + }, + { + "epoch": 0.74, + "learning_rate": 3.071922390456682e-05, + "loss": 0.4337, + "step": 21255 + }, + { + "epoch": 0.74, + "learning_rate": 3.0711290885704946e-05, + "loss": 0.4339, + "step": 21256 + }, + { + "epoch": 0.74, + "learning_rate": 3.070335870546746e-05, + "loss": 0.4906, + "step": 21257 + }, + { + "epoch": 0.74, + "learning_rate": 3.0695427363950337e-05, + "loss": 0.3953, + "step": 21258 + }, + { + "epoch": 0.74, + "learning_rate": 3.0687496861249565e-05, + "loss": 0.4858, + "step": 21259 + }, + { + "epoch": 0.74, + "learning_rate": 3.0679567197461134e-05, + "loss": 0.4914, + "step": 21260 + }, + { + "epoch": 0.74, + "learning_rate": 3.0671638372680975e-05, + "loss": 0.4625, + "step": 21261 + }, + { + "epoch": 0.74, + "learning_rate": 3.066371038700513e-05, + "loss": 0.5538, + "step": 21262 + }, + { + "epoch": 0.74, + "learning_rate": 3.065578324052951e-05, + "loss": 0.3475, + "step": 21263 + }, + { + "epoch": 0.74, + "learning_rate": 3.0647856933350085e-05, + "loss": 0.5698, + "step": 21264 + }, + { + "epoch": 0.74, + "learning_rate": 3.0639931465562765e-05, + "loss": 0.4911, + "step": 21265 + }, + { + "epoch": 0.74, + "learning_rate": 3.063200683726345e-05, + "loss": 0.5133, + "step": 21266 + }, + { + "epoch": 0.74, + "learning_rate": 3.062408304854811e-05, + "loss": 0.4445, + "step": 21267 + }, + { + "epoch": 0.74, + "learning_rate": 3.061616009951265e-05, + "loss": 0.4064, + "step": 21268 + }, + { + "epoch": 0.74, + "learning_rate": 3.060823799025292e-05, + "loss": 0.4465, + "step": 21269 + }, + { + "epoch": 0.74, + "learning_rate": 3.060031672086483e-05, + "loss": 0.5173, + "step": 21270 + }, + { + "epoch": 0.74, + "learning_rate": 3.0592396291444214e-05, + "loss": 0.4122, + "step": 21271 + }, + { + "epoch": 0.74, + "learning_rate": 3.058447670208701e-05, + "loss": 0.4833, + "step": 21272 + }, + { + "epoch": 0.74, + "learning_rate": 3.0576557952889017e-05, + "loss": 0.3625, + "step": 21273 + }, + { + "epoch": 0.74, + "learning_rate": 3.056864004394611e-05, + "loss": 0.4134, + "step": 21274 + }, + { + "epoch": 0.74, + "learning_rate": 3.0560722975354096e-05, + "loss": 0.5093, + "step": 21275 + }, + { + "epoch": 0.74, + "learning_rate": 3.055280674720876e-05, + "loss": 0.3903, + "step": 21276 + }, + { + "epoch": 0.74, + "learning_rate": 3.054489135960601e-05, + "loss": 0.5538, + "step": 21277 + }, + { + "epoch": 0.74, + "learning_rate": 3.0536976812641604e-05, + "loss": 0.4158, + "step": 21278 + }, + { + "epoch": 0.74, + "learning_rate": 3.052906310641132e-05, + "loss": 0.4239, + "step": 21279 + }, + { + "epoch": 0.74, + "learning_rate": 3.052115024101095e-05, + "loss": 0.4267, + "step": 21280 + }, + { + "epoch": 0.74, + "learning_rate": 3.0513238216536233e-05, + "loss": 0.4803, + "step": 21281 + }, + { + "epoch": 0.74, + "learning_rate": 3.0505327033083008e-05, + "loss": 0.4654, + "step": 21282 + }, + { + "epoch": 0.74, + "learning_rate": 3.049741669074697e-05, + "loss": 0.5869, + "step": 21283 + }, + { + "epoch": 0.74, + "learning_rate": 3.048950718962388e-05, + "loss": 0.5108, + "step": 21284 + }, + { + "epoch": 0.74, + "learning_rate": 3.0481598529809463e-05, + "loss": 0.4646, + "step": 21285 + }, + { + "epoch": 0.74, + "learning_rate": 3.0473690711399437e-05, + "loss": 0.4591, + "step": 21286 + }, + { + "epoch": 0.74, + "learning_rate": 3.0465783734489485e-05, + "loss": 0.4784, + "step": 21287 + }, + { + "epoch": 0.74, + "learning_rate": 3.0457877599175365e-05, + "loss": 0.4369, + "step": 21288 + }, + { + "epoch": 0.74, + "learning_rate": 3.0449972305552755e-05, + "loss": 0.671, + "step": 21289 + }, + { + "epoch": 0.75, + "learning_rate": 3.0442067853717305e-05, + "loss": 0.4074, + "step": 21290 + }, + { + "epoch": 0.75, + "learning_rate": 3.0434164243764707e-05, + "loss": 0.4242, + "step": 21291 + }, + { + "epoch": 0.75, + "learning_rate": 3.0426261475790597e-05, + "loss": 0.4095, + "step": 21292 + }, + { + "epoch": 0.75, + "learning_rate": 3.0418359549890663e-05, + "loss": 0.4274, + "step": 21293 + }, + { + "epoch": 0.75, + "learning_rate": 3.041045846616053e-05, + "loss": 0.4494, + "step": 21294 + }, + { + "epoch": 0.75, + "learning_rate": 3.040255822469582e-05, + "loss": 0.4185, + "step": 21295 + }, + { + "epoch": 0.75, + "learning_rate": 3.039465882559215e-05, + "loss": 0.4729, + "step": 21296 + }, + { + "epoch": 0.75, + "learning_rate": 3.0386760268945113e-05, + "loss": 0.4383, + "step": 21297 + }, + { + "epoch": 0.75, + "learning_rate": 3.0378862554850353e-05, + "loss": 0.4032, + "step": 21298 + }, + { + "epoch": 0.75, + "learning_rate": 3.037096568340344e-05, + "loss": 0.4084, + "step": 21299 + }, + { + "epoch": 0.75, + "learning_rate": 3.036306965469994e-05, + "loss": 0.371, + "step": 21300 + }, + { + "epoch": 0.75, + "learning_rate": 3.0355174468835436e-05, + "loss": 0.4015, + "step": 21301 + }, + { + "epoch": 0.75, + "learning_rate": 3.0347280125905442e-05, + "loss": 0.3845, + "step": 21302 + }, + { + "epoch": 0.75, + "learning_rate": 3.0339386626005583e-05, + "loss": 0.4605, + "step": 21303 + }, + { + "epoch": 0.75, + "learning_rate": 3.0331493969231338e-05, + "loss": 0.4449, + "step": 21304 + }, + { + "epoch": 0.75, + "learning_rate": 3.0323602155678267e-05, + "loss": 0.5061, + "step": 21305 + }, + { + "epoch": 0.75, + "learning_rate": 3.0315711185441874e-05, + "loss": 0.4792, + "step": 21306 + }, + { + "epoch": 0.75, + "learning_rate": 3.0307821058617626e-05, + "loss": 0.4625, + "step": 21307 + }, + { + "epoch": 0.75, + "learning_rate": 3.0299931775301094e-05, + "loss": 0.4204, + "step": 21308 + }, + { + "epoch": 0.75, + "learning_rate": 3.0292043335587727e-05, + "loss": 0.6097, + "step": 21309 + }, + { + "epoch": 0.75, + "learning_rate": 3.0284155739573005e-05, + "loss": 0.4062, + "step": 21310 + }, + { + "epoch": 0.75, + "learning_rate": 3.0276268987352397e-05, + "loss": 0.4245, + "step": 21311 + }, + { + "epoch": 0.75, + "learning_rate": 3.0268383079021313e-05, + "loss": 0.4839, + "step": 21312 + }, + { + "epoch": 0.75, + "learning_rate": 3.0260498014675277e-05, + "loss": 0.4162, + "step": 21313 + }, + { + "epoch": 0.75, + "learning_rate": 3.025261379440969e-05, + "loss": 0.4733, + "step": 21314 + }, + { + "epoch": 0.75, + "learning_rate": 3.0244730418319978e-05, + "loss": 0.3811, + "step": 21315 + }, + { + "epoch": 0.75, + "learning_rate": 3.0236847886501542e-05, + "loss": 0.464, + "step": 21316 + }, + { + "epoch": 0.75, + "learning_rate": 3.022896619904978e-05, + "loss": 0.3964, + "step": 21317 + }, + { + "epoch": 0.75, + "learning_rate": 3.0221085356060132e-05, + "loss": 0.3993, + "step": 21318 + }, + { + "epoch": 0.75, + "learning_rate": 3.021320535762795e-05, + "loss": 0.4151, + "step": 21319 + }, + { + "epoch": 0.75, + "learning_rate": 3.0205326203848617e-05, + "loss": 0.4891, + "step": 21320 + }, + { + "epoch": 0.75, + "learning_rate": 3.01974478948175e-05, + "loss": 0.4586, + "step": 21321 + }, + { + "epoch": 0.75, + "learning_rate": 3.0189570430629942e-05, + "loss": 0.5122, + "step": 21322 + }, + { + "epoch": 0.75, + "learning_rate": 3.0181693811381263e-05, + "loss": 0.3663, + "step": 21323 + }, + { + "epoch": 0.75, + "learning_rate": 3.0173818037166855e-05, + "loss": 0.4811, + "step": 21324 + }, + { + "epoch": 0.75, + "learning_rate": 3.0165943108082007e-05, + "loss": 0.4808, + "step": 21325 + }, + { + "epoch": 0.75, + "learning_rate": 3.0158069024222036e-05, + "loss": 0.4928, + "step": 21326 + }, + { + "epoch": 0.75, + "learning_rate": 3.0150195785682257e-05, + "loss": 0.463, + "step": 21327 + }, + { + "epoch": 0.75, + "learning_rate": 3.0142323392557905e-05, + "loss": 0.4839, + "step": 21328 + }, + { + "epoch": 0.75, + "learning_rate": 3.0134451844944344e-05, + "loss": 0.411, + "step": 21329 + }, + { + "epoch": 0.75, + "learning_rate": 3.0126581142936805e-05, + "loss": 0.565, + "step": 21330 + }, + { + "epoch": 0.75, + "learning_rate": 3.0118711286630552e-05, + "loss": 0.4538, + "step": 21331 + }, + { + "epoch": 0.75, + "learning_rate": 3.0110842276120843e-05, + "loss": 0.4561, + "step": 21332 + }, + { + "epoch": 0.75, + "learning_rate": 3.010297411150288e-05, + "loss": 0.3911, + "step": 21333 + }, + { + "epoch": 0.75, + "learning_rate": 3.0095106792871962e-05, + "loss": 0.4402, + "step": 21334 + }, + { + "epoch": 0.75, + "learning_rate": 3.0087240320323275e-05, + "loss": 0.361, + "step": 21335 + }, + { + "epoch": 0.75, + "learning_rate": 3.0079374693952034e-05, + "loss": 0.3785, + "step": 21336 + }, + { + "epoch": 0.75, + "learning_rate": 3.0071509913853435e-05, + "loss": 0.4697, + "step": 21337 + }, + { + "epoch": 0.75, + "learning_rate": 3.0063645980122634e-05, + "loss": 0.4726, + "step": 21338 + }, + { + "epoch": 0.75, + "learning_rate": 3.0055782892854877e-05, + "loss": 0.453, + "step": 21339 + }, + { + "epoch": 0.75, + "learning_rate": 3.0047920652145312e-05, + "loss": 0.3708, + "step": 21340 + }, + { + "epoch": 0.75, + "learning_rate": 3.004005925808908e-05, + "loss": 0.4648, + "step": 21341 + }, + { + "epoch": 0.75, + "learning_rate": 3.0032198710781346e-05, + "loss": 0.4158, + "step": 21342 + }, + { + "epoch": 0.75, + "learning_rate": 3.0024339010317203e-05, + "loss": 0.5179, + "step": 21343 + }, + { + "epoch": 0.75, + "learning_rate": 3.0016480156791848e-05, + "loss": 0.4933, + "step": 21344 + }, + { + "epoch": 0.75, + "learning_rate": 3.0008622150300382e-05, + "loss": 0.4706, + "step": 21345 + }, + { + "epoch": 0.75, + "learning_rate": 3.000076499093789e-05, + "loss": 0.4083, + "step": 21346 + }, + { + "epoch": 0.75, + "learning_rate": 2.9992908678799482e-05, + "loss": 0.4783, + "step": 21347 + }, + { + "epoch": 0.75, + "learning_rate": 2.9985053213980218e-05, + "loss": 0.4259, + "step": 21348 + }, + { + "epoch": 0.75, + "learning_rate": 2.9977198596575228e-05, + "loss": 0.4532, + "step": 21349 + }, + { + "epoch": 0.75, + "learning_rate": 2.9969344826679547e-05, + "loss": 0.5005, + "step": 21350 + }, + { + "epoch": 0.75, + "learning_rate": 2.996149190438825e-05, + "loss": 0.4951, + "step": 21351 + }, + { + "epoch": 0.75, + "learning_rate": 2.9953639829796366e-05, + "loss": 0.4946, + "step": 21352 + }, + { + "epoch": 0.75, + "learning_rate": 2.9945788602998938e-05, + "loss": 0.4071, + "step": 21353 + }, + { + "epoch": 0.75, + "learning_rate": 2.9937938224090946e-05, + "loss": 0.3664, + "step": 21354 + }, + { + "epoch": 0.75, + "learning_rate": 2.9930088693167492e-05, + "loss": 0.4788, + "step": 21355 + }, + { + "epoch": 0.75, + "learning_rate": 2.9922240010323545e-05, + "loss": 0.4064, + "step": 21356 + }, + { + "epoch": 0.75, + "learning_rate": 2.9914392175654082e-05, + "loss": 0.4453, + "step": 21357 + }, + { + "epoch": 0.75, + "learning_rate": 2.990654518925411e-05, + "loss": 0.4764, + "step": 21358 + }, + { + "epoch": 0.75, + "learning_rate": 2.989869905121856e-05, + "loss": 0.4799, + "step": 21359 + }, + { + "epoch": 0.75, + "learning_rate": 2.9890853761642458e-05, + "loss": 0.4185, + "step": 21360 + }, + { + "epoch": 0.75, + "learning_rate": 2.9883009320620737e-05, + "loss": 0.5127, + "step": 21361 + }, + { + "epoch": 0.75, + "learning_rate": 2.9875165728248322e-05, + "loss": 0.4145, + "step": 21362 + }, + { + "epoch": 0.75, + "learning_rate": 2.9867322984620173e-05, + "loss": 0.4466, + "step": 21363 + }, + { + "epoch": 0.75, + "learning_rate": 2.9859481089831163e-05, + "loss": 0.5591, + "step": 21364 + }, + { + "epoch": 0.75, + "learning_rate": 2.985164004397627e-05, + "loss": 0.4643, + "step": 21365 + }, + { + "epoch": 0.75, + "learning_rate": 2.9843799847150378e-05, + "loss": 0.4297, + "step": 21366 + }, + { + "epoch": 0.75, + "learning_rate": 2.9835960499448367e-05, + "loss": 0.4166, + "step": 21367 + }, + { + "epoch": 0.75, + "learning_rate": 2.982812200096512e-05, + "loss": 0.4091, + "step": 21368 + }, + { + "epoch": 0.75, + "learning_rate": 2.982028435179548e-05, + "loss": 0.427, + "step": 21369 + }, + { + "epoch": 0.75, + "learning_rate": 2.9812447552034395e-05, + "loss": 0.4039, + "step": 21370 + }, + { + "epoch": 0.75, + "learning_rate": 2.9804611601776644e-05, + "loss": 0.4844, + "step": 21371 + }, + { + "epoch": 0.75, + "learning_rate": 2.9796776501117075e-05, + "loss": 0.4642, + "step": 21372 + }, + { + "epoch": 0.75, + "learning_rate": 2.978894225015051e-05, + "loss": 0.4181, + "step": 21373 + }, + { + "epoch": 0.75, + "learning_rate": 2.9781108848971806e-05, + "loss": 0.5037, + "step": 21374 + }, + { + "epoch": 0.75, + "learning_rate": 2.9773276297675766e-05, + "loss": 0.3318, + "step": 21375 + }, + { + "epoch": 0.75, + "learning_rate": 2.9765444596357174e-05, + "loss": 0.3744, + "step": 21376 + }, + { + "epoch": 0.75, + "learning_rate": 2.9757613745110825e-05, + "loss": 0.5359, + "step": 21377 + }, + { + "epoch": 0.75, + "learning_rate": 2.974978374403147e-05, + "loss": 0.4526, + "step": 21378 + }, + { + "epoch": 0.75, + "learning_rate": 2.974195459321394e-05, + "loss": 0.4232, + "step": 21379 + }, + { + "epoch": 0.75, + "learning_rate": 2.9734126292752962e-05, + "loss": 0.441, + "step": 21380 + }, + { + "epoch": 0.75, + "learning_rate": 2.9726298842743283e-05, + "loss": 0.5274, + "step": 21381 + }, + { + "epoch": 0.75, + "learning_rate": 2.9718472243279636e-05, + "loss": 0.3975, + "step": 21382 + }, + { + "epoch": 0.75, + "learning_rate": 2.971064649445673e-05, + "loss": 0.4787, + "step": 21383 + }, + { + "epoch": 0.75, + "learning_rate": 2.9702821596369336e-05, + "loss": 0.4417, + "step": 21384 + }, + { + "epoch": 0.75, + "learning_rate": 2.9694997549112135e-05, + "loss": 0.4239, + "step": 21385 + }, + { + "epoch": 0.75, + "learning_rate": 2.9687174352779822e-05, + "loss": 0.4261, + "step": 21386 + }, + { + "epoch": 0.75, + "learning_rate": 2.9679352007467088e-05, + "loss": 0.4231, + "step": 21387 + }, + { + "epoch": 0.75, + "learning_rate": 2.9671530513268597e-05, + "loss": 0.5336, + "step": 21388 + }, + { + "epoch": 0.75, + "learning_rate": 2.9663709870278987e-05, + "loss": 0.4505, + "step": 21389 + }, + { + "epoch": 0.75, + "learning_rate": 2.9655890078592997e-05, + "loss": 0.3917, + "step": 21390 + }, + { + "epoch": 0.75, + "learning_rate": 2.9648071138305212e-05, + "loss": 0.4401, + "step": 21391 + }, + { + "epoch": 0.75, + "learning_rate": 2.964025304951029e-05, + "loss": 0.3357, + "step": 21392 + }, + { + "epoch": 0.75, + "learning_rate": 2.9632435812302838e-05, + "loss": 0.4131, + "step": 21393 + }, + { + "epoch": 0.75, + "learning_rate": 2.9624619426777455e-05, + "loss": 0.4495, + "step": 21394 + }, + { + "epoch": 0.75, + "learning_rate": 2.96168038930288e-05, + "loss": 0.472, + "step": 21395 + }, + { + "epoch": 0.75, + "learning_rate": 2.960898921115144e-05, + "loss": 0.384, + "step": 21396 + }, + { + "epoch": 0.75, + "learning_rate": 2.9601175381239953e-05, + "loss": 0.3623, + "step": 21397 + }, + { + "epoch": 0.75, + "learning_rate": 2.9593362403388914e-05, + "loss": 0.4459, + "step": 21398 + }, + { + "epoch": 0.75, + "learning_rate": 2.9585550277692854e-05, + "loss": 0.5124, + "step": 21399 + }, + { + "epoch": 0.75, + "learning_rate": 2.9577739004246386e-05, + "loss": 0.4842, + "step": 21400 + }, + { + "epoch": 0.75, + "eval_loss": 0.427883118391037, + "eval_runtime": 846.7395, + "eval_samples_per_second": 28.415, + "eval_steps_per_second": 14.207, + "step": 21400 + }, + { + "epoch": 0.75, + "learning_rate": 2.9569928583144037e-05, + "loss": 0.4217, + "step": 21401 + }, + { + "epoch": 0.75, + "learning_rate": 2.9562119014480318e-05, + "loss": 0.4747, + "step": 21402 + }, + { + "epoch": 0.75, + "learning_rate": 2.9554310298349764e-05, + "loss": 0.4964, + "step": 21403 + }, + { + "epoch": 0.75, + "learning_rate": 2.9546502434846845e-05, + "loss": 0.3874, + "step": 21404 + }, + { + "epoch": 0.75, + "learning_rate": 2.9538695424066132e-05, + "loss": 0.4541, + "step": 21405 + }, + { + "epoch": 0.75, + "learning_rate": 2.953088926610209e-05, + "loss": 0.3961, + "step": 21406 + }, + { + "epoch": 0.75, + "learning_rate": 2.952308396104919e-05, + "loss": 0.5123, + "step": 21407 + }, + { + "epoch": 0.75, + "learning_rate": 2.9515279509001903e-05, + "loss": 0.486, + "step": 21408 + }, + { + "epoch": 0.75, + "learning_rate": 2.9507475910054672e-05, + "loss": 0.519, + "step": 21409 + }, + { + "epoch": 0.75, + "learning_rate": 2.9499673164301977e-05, + "loss": 0.4375, + "step": 21410 + }, + { + "epoch": 0.75, + "learning_rate": 2.949187127183827e-05, + "loss": 0.4245, + "step": 21411 + }, + { + "epoch": 0.75, + "learning_rate": 2.948407023275793e-05, + "loss": 0.3773, + "step": 21412 + }, + { + "epoch": 0.75, + "learning_rate": 2.9476270047155417e-05, + "loss": 0.4458, + "step": 21413 + }, + { + "epoch": 0.75, + "learning_rate": 2.9468470715125095e-05, + "loss": 0.3952, + "step": 21414 + }, + { + "epoch": 0.75, + "learning_rate": 2.946067223676141e-05, + "loss": 0.4316, + "step": 21415 + }, + { + "epoch": 0.75, + "learning_rate": 2.9452874612158744e-05, + "loss": 0.4778, + "step": 21416 + }, + { + "epoch": 0.75, + "learning_rate": 2.944507784141145e-05, + "loss": 0.3824, + "step": 21417 + }, + { + "epoch": 0.75, + "learning_rate": 2.9437281924613913e-05, + "loss": 0.4275, + "step": 21418 + }, + { + "epoch": 0.75, + "learning_rate": 2.9429486861860444e-05, + "loss": 0.3744, + "step": 21419 + }, + { + "epoch": 0.75, + "learning_rate": 2.9421692653245458e-05, + "loss": 0.3862, + "step": 21420 + }, + { + "epoch": 0.75, + "learning_rate": 2.9413899298863267e-05, + "loss": 0.3649, + "step": 21421 + }, + { + "epoch": 0.75, + "learning_rate": 2.9406106798808186e-05, + "loss": 0.407, + "step": 21422 + }, + { + "epoch": 0.75, + "learning_rate": 2.9398315153174528e-05, + "loss": 0.3847, + "step": 21423 + }, + { + "epoch": 0.75, + "learning_rate": 2.9390524362056615e-05, + "loss": 0.4421, + "step": 21424 + }, + { + "epoch": 0.75, + "learning_rate": 2.9382734425548698e-05, + "loss": 0.4223, + "step": 21425 + }, + { + "epoch": 0.75, + "learning_rate": 2.937494534374512e-05, + "loss": 0.4775, + "step": 21426 + }, + { + "epoch": 0.75, + "learning_rate": 2.936715711674013e-05, + "loss": 0.5299, + "step": 21427 + }, + { + "epoch": 0.75, + "learning_rate": 2.9359369744627986e-05, + "loss": 0.5166, + "step": 21428 + }, + { + "epoch": 0.75, + "learning_rate": 2.9351583227502945e-05, + "loss": 0.4463, + "step": 21429 + }, + { + "epoch": 0.75, + "learning_rate": 2.934379756545922e-05, + "loss": 0.3769, + "step": 21430 + }, + { + "epoch": 0.75, + "learning_rate": 2.9336012758591115e-05, + "loss": 0.485, + "step": 21431 + }, + { + "epoch": 0.75, + "learning_rate": 2.9328228806992797e-05, + "loss": 0.4008, + "step": 21432 + }, + { + "epoch": 0.75, + "learning_rate": 2.9320445710758493e-05, + "loss": 0.4087, + "step": 21433 + }, + { + "epoch": 0.75, + "learning_rate": 2.9312663469982404e-05, + "loss": 0.4238, + "step": 21434 + }, + { + "epoch": 0.75, + "learning_rate": 2.930488208475869e-05, + "loss": 0.4395, + "step": 21435 + }, + { + "epoch": 0.75, + "learning_rate": 2.9297101555181593e-05, + "loss": 0.3395, + "step": 21436 + }, + { + "epoch": 0.75, + "learning_rate": 2.9289321881345254e-05, + "loss": 0.3729, + "step": 21437 + }, + { + "epoch": 0.75, + "learning_rate": 2.928154306334383e-05, + "loss": 0.5015, + "step": 21438 + }, + { + "epoch": 0.75, + "learning_rate": 2.9273765101271468e-05, + "loss": 0.3645, + "step": 21439 + }, + { + "epoch": 0.75, + "learning_rate": 2.9265987995222288e-05, + "loss": 0.4381, + "step": 21440 + }, + { + "epoch": 0.75, + "learning_rate": 2.9258211745290464e-05, + "loss": 0.3563, + "step": 21441 + }, + { + "epoch": 0.75, + "learning_rate": 2.9250436351570087e-05, + "loss": 0.3567, + "step": 21442 + }, + { + "epoch": 0.75, + "learning_rate": 2.9242661814155282e-05, + "loss": 0.4646, + "step": 21443 + }, + { + "epoch": 0.75, + "learning_rate": 2.9234888133140126e-05, + "loss": 0.4684, + "step": 21444 + }, + { + "epoch": 0.75, + "learning_rate": 2.922711530861869e-05, + "loss": 0.476, + "step": 21445 + }, + { + "epoch": 0.75, + "learning_rate": 2.9219343340685112e-05, + "loss": 0.3943, + "step": 21446 + }, + { + "epoch": 0.75, + "learning_rate": 2.9211572229433416e-05, + "loss": 0.4101, + "step": 21447 + }, + { + "epoch": 0.75, + "learning_rate": 2.9203801974957666e-05, + "loss": 0.4038, + "step": 21448 + }, + { + "epoch": 0.75, + "learning_rate": 2.9196032577351904e-05, + "loss": 0.4381, + "step": 21449 + }, + { + "epoch": 0.75, + "learning_rate": 2.9188264036710145e-05, + "loss": 0.43, + "step": 21450 + }, + { + "epoch": 0.75, + "learning_rate": 2.9180496353126476e-05, + "loss": 0.4607, + "step": 21451 + }, + { + "epoch": 0.75, + "learning_rate": 2.9172729526694863e-05, + "loss": 0.4179, + "step": 21452 + }, + { + "epoch": 0.75, + "learning_rate": 2.916496355750933e-05, + "loss": 0.4977, + "step": 21453 + }, + { + "epoch": 0.75, + "learning_rate": 2.9157198445663858e-05, + "loss": 0.522, + "step": 21454 + }, + { + "epoch": 0.75, + "learning_rate": 2.9149434191252435e-05, + "loss": 0.4652, + "step": 21455 + }, + { + "epoch": 0.75, + "learning_rate": 2.9141670794369003e-05, + "loss": 0.4683, + "step": 21456 + }, + { + "epoch": 0.75, + "learning_rate": 2.9133908255107588e-05, + "loss": 0.5218, + "step": 21457 + }, + { + "epoch": 0.75, + "learning_rate": 2.9126146573562117e-05, + "loss": 0.408, + "step": 21458 + }, + { + "epoch": 0.75, + "learning_rate": 2.9118385749826526e-05, + "loss": 0.3989, + "step": 21459 + }, + { + "epoch": 0.75, + "learning_rate": 2.911062578399474e-05, + "loss": 0.4527, + "step": 21460 + }, + { + "epoch": 0.75, + "learning_rate": 2.9102866676160668e-05, + "loss": 0.3744, + "step": 21461 + }, + { + "epoch": 0.75, + "learning_rate": 2.909510842641826e-05, + "loss": 0.5629, + "step": 21462 + }, + { + "epoch": 0.75, + "learning_rate": 2.908735103486141e-05, + "loss": 0.4309, + "step": 21463 + }, + { + "epoch": 0.75, + "learning_rate": 2.9079594501583996e-05, + "loss": 0.4601, + "step": 21464 + }, + { + "epoch": 0.75, + "learning_rate": 2.9071838826679886e-05, + "loss": 0.4333, + "step": 21465 + }, + { + "epoch": 0.75, + "learning_rate": 2.9064084010242944e-05, + "loss": 0.4781, + "step": 21466 + }, + { + "epoch": 0.75, + "learning_rate": 2.9056330052367064e-05, + "loss": 0.4347, + "step": 21467 + }, + { + "epoch": 0.75, + "learning_rate": 2.904857695314609e-05, + "loss": 0.4521, + "step": 21468 + }, + { + "epoch": 0.75, + "learning_rate": 2.904082471267384e-05, + "loss": 0.5077, + "step": 21469 + }, + { + "epoch": 0.75, + "learning_rate": 2.903307333104416e-05, + "loss": 0.5033, + "step": 21470 + }, + { + "epoch": 0.75, + "learning_rate": 2.9025322808350818e-05, + "loss": 0.5116, + "step": 21471 + }, + { + "epoch": 0.75, + "learning_rate": 2.9017573144687692e-05, + "loss": 0.4241, + "step": 21472 + }, + { + "epoch": 0.75, + "learning_rate": 2.900982434014855e-05, + "loss": 0.4064, + "step": 21473 + }, + { + "epoch": 0.75, + "learning_rate": 2.9002076394827172e-05, + "loss": 0.4125, + "step": 21474 + }, + { + "epoch": 0.75, + "learning_rate": 2.8994329308817337e-05, + "loss": 0.5148, + "step": 21475 + }, + { + "epoch": 0.75, + "learning_rate": 2.8986583082212782e-05, + "loss": 0.3676, + "step": 21476 + }, + { + "epoch": 0.75, + "learning_rate": 2.897883771510732e-05, + "loss": 0.4882, + "step": 21477 + }, + { + "epoch": 0.75, + "learning_rate": 2.897109320759468e-05, + "loss": 0.5077, + "step": 21478 + }, + { + "epoch": 0.75, + "learning_rate": 2.8963349559768572e-05, + "loss": 0.4667, + "step": 21479 + }, + { + "epoch": 0.75, + "learning_rate": 2.895560677172273e-05, + "loss": 0.446, + "step": 21480 + }, + { + "epoch": 0.75, + "learning_rate": 2.894786484355084e-05, + "loss": 0.4794, + "step": 21481 + }, + { + "epoch": 0.75, + "learning_rate": 2.8940123775346672e-05, + "loss": 0.4112, + "step": 21482 + }, + { + "epoch": 0.75, + "learning_rate": 2.8932383567203868e-05, + "loss": 0.4296, + "step": 21483 + }, + { + "epoch": 0.75, + "learning_rate": 2.8924644219216136e-05, + "loss": 0.3846, + "step": 21484 + }, + { + "epoch": 0.75, + "learning_rate": 2.891690573147713e-05, + "loss": 0.3802, + "step": 21485 + }, + { + "epoch": 0.75, + "learning_rate": 2.8909168104080485e-05, + "loss": 0.3928, + "step": 21486 + }, + { + "epoch": 0.75, + "learning_rate": 2.890143133711991e-05, + "loss": 0.4237, + "step": 21487 + }, + { + "epoch": 0.75, + "learning_rate": 2.8893695430689027e-05, + "loss": 0.4192, + "step": 21488 + }, + { + "epoch": 0.75, + "learning_rate": 2.888596038488146e-05, + "loss": 0.4445, + "step": 21489 + }, + { + "epoch": 0.75, + "learning_rate": 2.8878226199790825e-05, + "loss": 0.4432, + "step": 21490 + }, + { + "epoch": 0.75, + "learning_rate": 2.8870492875510722e-05, + "loss": 0.3752, + "step": 21491 + }, + { + "epoch": 0.75, + "learning_rate": 2.8862760412134748e-05, + "loss": 0.4636, + "step": 21492 + }, + { + "epoch": 0.75, + "learning_rate": 2.8855028809756522e-05, + "loss": 0.523, + "step": 21493 + }, + { + "epoch": 0.75, + "learning_rate": 2.884729806846962e-05, + "loss": 0.437, + "step": 21494 + }, + { + "epoch": 0.75, + "learning_rate": 2.883956818836758e-05, + "loss": 0.4347, + "step": 21495 + }, + { + "epoch": 0.75, + "learning_rate": 2.8831839169543996e-05, + "loss": 0.4599, + "step": 21496 + }, + { + "epoch": 0.75, + "learning_rate": 2.8824111012092348e-05, + "loss": 0.4056, + "step": 21497 + }, + { + "epoch": 0.75, + "learning_rate": 2.8816383716106242e-05, + "loss": 0.3974, + "step": 21498 + }, + { + "epoch": 0.75, + "learning_rate": 2.8808657281679197e-05, + "loss": 0.4161, + "step": 21499 + }, + { + "epoch": 0.75, + "learning_rate": 2.8800931708904698e-05, + "loss": 0.4379, + "step": 21500 + }, + { + "epoch": 0.75, + "learning_rate": 2.8793206997876275e-05, + "loss": 0.3619, + "step": 21501 + }, + { + "epoch": 0.75, + "learning_rate": 2.8785483148687375e-05, + "loss": 0.461, + "step": 21502 + }, + { + "epoch": 0.75, + "learning_rate": 2.8777760161431545e-05, + "loss": 0.484, + "step": 21503 + }, + { + "epoch": 0.75, + "learning_rate": 2.877003803620224e-05, + "loss": 0.4937, + "step": 21504 + }, + { + "epoch": 0.75, + "learning_rate": 2.8762316773092945e-05, + "loss": 0.3911, + "step": 21505 + }, + { + "epoch": 0.75, + "learning_rate": 2.8754596372197017e-05, + "loss": 0.4101, + "step": 21506 + }, + { + "epoch": 0.75, + "learning_rate": 2.8746876833608005e-05, + "loss": 0.491, + "step": 21507 + }, + { + "epoch": 0.75, + "learning_rate": 2.87391581574193e-05, + "loss": 0.5093, + "step": 21508 + }, + { + "epoch": 0.75, + "learning_rate": 2.8731440343724324e-05, + "loss": 0.4497, + "step": 21509 + }, + { + "epoch": 0.75, + "learning_rate": 2.8723723392616485e-05, + "loss": 0.4459, + "step": 21510 + }, + { + "epoch": 0.75, + "learning_rate": 2.8716007304189176e-05, + "loss": 0.4297, + "step": 21511 + }, + { + "epoch": 0.75, + "learning_rate": 2.8708292078535813e-05, + "loss": 0.4831, + "step": 21512 + }, + { + "epoch": 0.75, + "learning_rate": 2.8700577715749767e-05, + "loss": 0.5406, + "step": 21513 + }, + { + "epoch": 0.75, + "learning_rate": 2.8692864215924408e-05, + "loss": 0.3772, + "step": 21514 + }, + { + "epoch": 0.75, + "learning_rate": 2.8685151579153093e-05, + "loss": 0.4911, + "step": 21515 + }, + { + "epoch": 0.75, + "learning_rate": 2.8677439805529127e-05, + "loss": 0.3855, + "step": 21516 + }, + { + "epoch": 0.75, + "learning_rate": 2.866972889514593e-05, + "loss": 0.4235, + "step": 21517 + }, + { + "epoch": 0.75, + "learning_rate": 2.8662018848096784e-05, + "loss": 0.4556, + "step": 21518 + }, + { + "epoch": 0.75, + "learning_rate": 2.8654309664475008e-05, + "loss": 0.4914, + "step": 21519 + }, + { + "epoch": 0.75, + "learning_rate": 2.8646601344373924e-05, + "loss": 0.4075, + "step": 21520 + }, + { + "epoch": 0.75, + "learning_rate": 2.8638893887886775e-05, + "loss": 0.4115, + "step": 21521 + }, + { + "epoch": 0.75, + "learning_rate": 2.863118729510692e-05, + "loss": 0.4579, + "step": 21522 + }, + { + "epoch": 0.75, + "learning_rate": 2.862348156612761e-05, + "loss": 0.394, + "step": 21523 + }, + { + "epoch": 0.75, + "learning_rate": 2.861577670104211e-05, + "loss": 0.4946, + "step": 21524 + }, + { + "epoch": 0.75, + "learning_rate": 2.8608072699943645e-05, + "loss": 0.5316, + "step": 21525 + }, + { + "epoch": 0.75, + "learning_rate": 2.86003695629255e-05, + "loss": 0.47, + "step": 21526 + }, + { + "epoch": 0.75, + "learning_rate": 2.8592667290080854e-05, + "loss": 0.4598, + "step": 21527 + }, + { + "epoch": 0.75, + "learning_rate": 2.8584965881503e-05, + "loss": 0.3661, + "step": 21528 + }, + { + "epoch": 0.75, + "learning_rate": 2.8577265337285107e-05, + "loss": 0.5375, + "step": 21529 + }, + { + "epoch": 0.75, + "learning_rate": 2.8569565657520404e-05, + "loss": 0.3869, + "step": 21530 + }, + { + "epoch": 0.75, + "learning_rate": 2.8561866842302054e-05, + "loss": 0.4842, + "step": 21531 + }, + { + "epoch": 0.75, + "learning_rate": 2.855416889172322e-05, + "loss": 0.5169, + "step": 21532 + }, + { + "epoch": 0.75, + "learning_rate": 2.854647180587714e-05, + "loss": 0.4158, + "step": 21533 + }, + { + "epoch": 0.75, + "learning_rate": 2.8538775584856935e-05, + "loss": 0.4883, + "step": 21534 + }, + { + "epoch": 0.75, + "learning_rate": 2.853108022875576e-05, + "loss": 0.4621, + "step": 21535 + }, + { + "epoch": 0.75, + "learning_rate": 2.852338573766675e-05, + "loss": 0.4202, + "step": 21536 + }, + { + "epoch": 0.75, + "learning_rate": 2.8515692111683002e-05, + "loss": 0.4678, + "step": 21537 + }, + { + "epoch": 0.75, + "learning_rate": 2.8507999350897706e-05, + "loss": 0.45, + "step": 21538 + }, + { + "epoch": 0.75, + "learning_rate": 2.8500307455403928e-05, + "loss": 0.4217, + "step": 21539 + }, + { + "epoch": 0.75, + "learning_rate": 2.849261642529478e-05, + "loss": 0.4433, + "step": 21540 + }, + { + "epoch": 0.75, + "learning_rate": 2.8484926260663324e-05, + "loss": 0.3753, + "step": 21541 + }, + { + "epoch": 0.75, + "learning_rate": 2.8477236961602638e-05, + "loss": 0.4605, + "step": 21542 + }, + { + "epoch": 0.75, + "learning_rate": 2.8469548528205826e-05, + "loss": 0.4609, + "step": 21543 + }, + { + "epoch": 0.75, + "learning_rate": 2.8461860960565913e-05, + "loss": 0.441, + "step": 21544 + }, + { + "epoch": 0.75, + "learning_rate": 2.8454174258775957e-05, + "loss": 0.4458, + "step": 21545 + }, + { + "epoch": 0.75, + "learning_rate": 2.8446488422928985e-05, + "loss": 0.4868, + "step": 21546 + }, + { + "epoch": 0.75, + "learning_rate": 2.8438803453118003e-05, + "loss": 0.403, + "step": 21547 + }, + { + "epoch": 0.75, + "learning_rate": 2.8431119349436065e-05, + "loss": 0.4965, + "step": 21548 + }, + { + "epoch": 0.75, + "learning_rate": 2.8423436111976155e-05, + "loss": 0.4779, + "step": 21549 + }, + { + "epoch": 0.75, + "learning_rate": 2.8415753740831263e-05, + "loss": 0.4366, + "step": 21550 + }, + { + "epoch": 0.75, + "learning_rate": 2.8408072236094384e-05, + "loss": 0.4589, + "step": 21551 + }, + { + "epoch": 0.75, + "learning_rate": 2.8400391597858435e-05, + "loss": 0.4175, + "step": 21552 + }, + { + "epoch": 0.75, + "learning_rate": 2.8392711826216455e-05, + "loss": 0.4004, + "step": 21553 + }, + { + "epoch": 0.75, + "learning_rate": 2.8385032921261366e-05, + "loss": 0.463, + "step": 21554 + }, + { + "epoch": 0.75, + "learning_rate": 2.8377354883086106e-05, + "loss": 0.4703, + "step": 21555 + }, + { + "epoch": 0.75, + "learning_rate": 2.8369677711783592e-05, + "loss": 0.4887, + "step": 21556 + }, + { + "epoch": 0.75, + "learning_rate": 2.836200140744677e-05, + "loss": 0.4184, + "step": 21557 + }, + { + "epoch": 0.75, + "learning_rate": 2.8354325970168484e-05, + "loss": 0.4568, + "step": 21558 + }, + { + "epoch": 0.75, + "learning_rate": 2.8346651400041725e-05, + "loss": 0.4057, + "step": 21559 + }, + { + "epoch": 0.75, + "learning_rate": 2.833897769715933e-05, + "loss": 0.3913, + "step": 21560 + }, + { + "epoch": 0.75, + "learning_rate": 2.8331304861614184e-05, + "loss": 0.4961, + "step": 21561 + }, + { + "epoch": 0.75, + "learning_rate": 2.8323632893499154e-05, + "loss": 0.4492, + "step": 21562 + }, + { + "epoch": 0.75, + "learning_rate": 2.8315961792907065e-05, + "loss": 0.4778, + "step": 21563 + }, + { + "epoch": 0.75, + "learning_rate": 2.830829155993082e-05, + "loss": 0.4553, + "step": 21564 + }, + { + "epoch": 0.75, + "learning_rate": 2.830062219466324e-05, + "loss": 0.4668, + "step": 21565 + }, + { + "epoch": 0.75, + "learning_rate": 2.829295369719712e-05, + "loss": 0.3611, + "step": 21566 + }, + { + "epoch": 0.75, + "learning_rate": 2.8285286067625305e-05, + "loss": 0.4407, + "step": 21567 + }, + { + "epoch": 0.75, + "learning_rate": 2.827761930604055e-05, + "loss": 0.485, + "step": 21568 + }, + { + "epoch": 0.75, + "learning_rate": 2.826995341253572e-05, + "loss": 0.3991, + "step": 21569 + }, + { + "epoch": 0.75, + "learning_rate": 2.826228838720356e-05, + "loss": 0.5229, + "step": 21570 + }, + { + "epoch": 0.75, + "learning_rate": 2.825462423013684e-05, + "loss": 0.4109, + "step": 21571 + }, + { + "epoch": 0.75, + "learning_rate": 2.8246960941428335e-05, + "loss": 0.4543, + "step": 21572 + }, + { + "epoch": 0.75, + "learning_rate": 2.8239298521170753e-05, + "loss": 0.4502, + "step": 21573 + }, + { + "epoch": 0.75, + "learning_rate": 2.8231636969456897e-05, + "loss": 0.4069, + "step": 21574 + }, + { + "epoch": 0.75, + "learning_rate": 2.822397628637947e-05, + "loss": 0.4127, + "step": 21575 + }, + { + "epoch": 0.76, + "learning_rate": 2.82163164720312e-05, + "loss": 0.4078, + "step": 21576 + }, + { + "epoch": 0.76, + "learning_rate": 2.820865752650478e-05, + "loss": 0.4454, + "step": 21577 + }, + { + "epoch": 0.76, + "learning_rate": 2.8200999449892884e-05, + "loss": 0.4179, + "step": 21578 + }, + { + "epoch": 0.76, + "learning_rate": 2.8193342242288267e-05, + "loss": 0.4734, + "step": 21579 + }, + { + "epoch": 0.76, + "learning_rate": 2.8185685903783578e-05, + "loss": 0.4037, + "step": 21580 + }, + { + "epoch": 0.76, + "learning_rate": 2.8178030434471482e-05, + "loss": 0.4323, + "step": 21581 + }, + { + "epoch": 0.76, + "learning_rate": 2.8170375834444617e-05, + "loss": 0.476, + "step": 21582 + }, + { + "epoch": 0.76, + "learning_rate": 2.8162722103795625e-05, + "loss": 0.4712, + "step": 21583 + }, + { + "epoch": 0.76, + "learning_rate": 2.8155069242617195e-05, + "loss": 0.4707, + "step": 21584 + }, + { + "epoch": 0.76, + "learning_rate": 2.8147417251001908e-05, + "loss": 0.4848, + "step": 21585 + }, + { + "epoch": 0.76, + "learning_rate": 2.81397661290424e-05, + "loss": 0.4887, + "step": 21586 + }, + { + "epoch": 0.76, + "learning_rate": 2.8132115876831257e-05, + "loss": 0.5142, + "step": 21587 + }, + { + "epoch": 0.76, + "learning_rate": 2.8124466494461045e-05, + "loss": 0.3464, + "step": 21588 + }, + { + "epoch": 0.76, + "learning_rate": 2.8116817982024423e-05, + "loss": 0.4762, + "step": 21589 + }, + { + "epoch": 0.76, + "learning_rate": 2.8109170339613923e-05, + "loss": 0.4434, + "step": 21590 + }, + { + "epoch": 0.76, + "learning_rate": 2.8101523567322097e-05, + "loss": 0.426, + "step": 21591 + }, + { + "epoch": 0.76, + "learning_rate": 2.809387766524151e-05, + "loss": 0.4582, + "step": 21592 + }, + { + "epoch": 0.76, + "learning_rate": 2.8086232633464706e-05, + "loss": 0.4364, + "step": 21593 + }, + { + "epoch": 0.76, + "learning_rate": 2.8078588472084167e-05, + "loss": 0.452, + "step": 21594 + }, + { + "epoch": 0.76, + "learning_rate": 2.8070945181192486e-05, + "loss": 0.4635, + "step": 21595 + }, + { + "epoch": 0.76, + "learning_rate": 2.8063302760882136e-05, + "loss": 0.4659, + "step": 21596 + }, + { + "epoch": 0.76, + "learning_rate": 2.8055661211245633e-05, + "loss": 0.4194, + "step": 21597 + }, + { + "epoch": 0.76, + "learning_rate": 2.804802053237544e-05, + "loss": 0.3642, + "step": 21598 + }, + { + "epoch": 0.76, + "learning_rate": 2.8040380724364025e-05, + "loss": 0.4587, + "step": 21599 + }, + { + "epoch": 0.76, + "learning_rate": 2.8032741787303906e-05, + "loss": 0.3508, + "step": 21600 + }, + { + "epoch": 0.76, + "eval_loss": 0.42593833804130554, + "eval_runtime": 851.8703, + "eval_samples_per_second": 28.244, + "eval_steps_per_second": 14.122, + "step": 21600 + }, + { + "epoch": 0.76, + "learning_rate": 2.8025103721287503e-05, + "loss": 0.3939, + "step": 21601 + }, + { + "epoch": 0.76, + "learning_rate": 2.8017466526407278e-05, + "loss": 0.4327, + "step": 21602 + }, + { + "epoch": 0.76, + "learning_rate": 2.8009830202755662e-05, + "loss": 0.4881, + "step": 21603 + }, + { + "epoch": 0.76, + "learning_rate": 2.8002194750425036e-05, + "loss": 0.5002, + "step": 21604 + }, + { + "epoch": 0.76, + "learning_rate": 2.799456016950789e-05, + "loss": 0.4513, + "step": 21605 + }, + { + "epoch": 0.76, + "learning_rate": 2.7986926460096597e-05, + "loss": 0.4034, + "step": 21606 + }, + { + "epoch": 0.76, + "learning_rate": 2.797929362228353e-05, + "loss": 0.4897, + "step": 21607 + }, + { + "epoch": 0.76, + "learning_rate": 2.7971661656161098e-05, + "loss": 0.3834, + "step": 21608 + }, + { + "epoch": 0.76, + "learning_rate": 2.796403056182163e-05, + "loss": 0.4078, + "step": 21609 + }, + { + "epoch": 0.76, + "learning_rate": 2.795640033935756e-05, + "loss": 0.3976, + "step": 21610 + }, + { + "epoch": 0.76, + "learning_rate": 2.7948770988861195e-05, + "loss": 0.4723, + "step": 21611 + }, + { + "epoch": 0.76, + "learning_rate": 2.7941142510424877e-05, + "loss": 0.3384, + "step": 21612 + }, + { + "epoch": 0.76, + "learning_rate": 2.7933514904140933e-05, + "loss": 0.4853, + "step": 21613 + }, + { + "epoch": 0.76, + "learning_rate": 2.7925888170101665e-05, + "loss": 0.4173, + "step": 21614 + }, + { + "epoch": 0.76, + "learning_rate": 2.7918262308399434e-05, + "loss": 0.4396, + "step": 21615 + }, + { + "epoch": 0.76, + "learning_rate": 2.7910637319126522e-05, + "loss": 0.457, + "step": 21616 + }, + { + "epoch": 0.76, + "learning_rate": 2.7903013202375195e-05, + "loss": 0.413, + "step": 21617 + }, + { + "epoch": 0.76, + "learning_rate": 2.789538995823774e-05, + "loss": 0.4667, + "step": 21618 + }, + { + "epoch": 0.76, + "learning_rate": 2.788776758680639e-05, + "loss": 0.4643, + "step": 21619 + }, + { + "epoch": 0.76, + "learning_rate": 2.7880146088173463e-05, + "loss": 0.422, + "step": 21620 + }, + { + "epoch": 0.76, + "learning_rate": 2.7872525462431186e-05, + "loss": 0.4392, + "step": 21621 + }, + { + "epoch": 0.76, + "learning_rate": 2.7864905709671774e-05, + "loss": 0.4212, + "step": 21622 + }, + { + "epoch": 0.76, + "learning_rate": 2.7857286829987473e-05, + "loss": 0.519, + "step": 21623 + }, + { + "epoch": 0.76, + "learning_rate": 2.7849668823470477e-05, + "loss": 0.4425, + "step": 21624 + }, + { + "epoch": 0.76, + "learning_rate": 2.7842051690212967e-05, + "loss": 0.4597, + "step": 21625 + }, + { + "epoch": 0.76, + "learning_rate": 2.7834435430307203e-05, + "loss": 0.5067, + "step": 21626 + }, + { + "epoch": 0.76, + "learning_rate": 2.7826820043845326e-05, + "loss": 0.4306, + "step": 21627 + }, + { + "epoch": 0.76, + "learning_rate": 2.7819205530919513e-05, + "loss": 0.4388, + "step": 21628 + }, + { + "epoch": 0.76, + "learning_rate": 2.7811591891621926e-05, + "loss": 0.4335, + "step": 21629 + }, + { + "epoch": 0.76, + "learning_rate": 2.780397912604469e-05, + "loss": 0.4051, + "step": 21630 + }, + { + "epoch": 0.76, + "learning_rate": 2.7796367234279986e-05, + "loss": 0.4283, + "step": 21631 + }, + { + "epoch": 0.76, + "learning_rate": 2.778875621641993e-05, + "loss": 0.4403, + "step": 21632 + }, + { + "epoch": 0.76, + "learning_rate": 2.7781146072556642e-05, + "loss": 0.4089, + "step": 21633 + }, + { + "epoch": 0.76, + "learning_rate": 2.7773536802782218e-05, + "loss": 0.4444, + "step": 21634 + }, + { + "epoch": 0.76, + "learning_rate": 2.7765928407188722e-05, + "loss": 0.4283, + "step": 21635 + }, + { + "epoch": 0.76, + "learning_rate": 2.7758320885868327e-05, + "loss": 0.5476, + "step": 21636 + }, + { + "epoch": 0.76, + "learning_rate": 2.7750714238913056e-05, + "loss": 0.4531, + "step": 21637 + }, + { + "epoch": 0.76, + "learning_rate": 2.774310846641499e-05, + "loss": 0.4284, + "step": 21638 + }, + { + "epoch": 0.76, + "learning_rate": 2.773550356846617e-05, + "loss": 0.4352, + "step": 21639 + }, + { + "epoch": 0.76, + "learning_rate": 2.7727899545158655e-05, + "loss": 0.4183, + "step": 21640 + }, + { + "epoch": 0.76, + "learning_rate": 2.7720296396584457e-05, + "loss": 0.4411, + "step": 21641 + }, + { + "epoch": 0.76, + "learning_rate": 2.7712694122835614e-05, + "loss": 0.4705, + "step": 21642 + }, + { + "epoch": 0.76, + "learning_rate": 2.7705092724004144e-05, + "loss": 0.3876, + "step": 21643 + }, + { + "epoch": 0.76, + "learning_rate": 2.769749220018202e-05, + "loss": 0.4074, + "step": 21644 + }, + { + "epoch": 0.76, + "learning_rate": 2.7689892551461284e-05, + "loss": 0.4343, + "step": 21645 + }, + { + "epoch": 0.76, + "learning_rate": 2.768229377793389e-05, + "loss": 0.43, + "step": 21646 + }, + { + "epoch": 0.76, + "learning_rate": 2.7674695879691804e-05, + "loss": 0.5276, + "step": 21647 + }, + { + "epoch": 0.76, + "learning_rate": 2.766709885682699e-05, + "loss": 0.4639, + "step": 21648 + }, + { + "epoch": 0.76, + "learning_rate": 2.765950270943137e-05, + "loss": 0.4844, + "step": 21649 + }, + { + "epoch": 0.76, + "learning_rate": 2.7651907437596937e-05, + "loss": 0.4251, + "step": 21650 + }, + { + "epoch": 0.76, + "learning_rate": 2.7644313041415603e-05, + "loss": 0.5002, + "step": 21651 + }, + { + "epoch": 0.76, + "learning_rate": 2.763671952097926e-05, + "loss": 0.3961, + "step": 21652 + }, + { + "epoch": 0.76, + "learning_rate": 2.762912687637984e-05, + "loss": 0.4699, + "step": 21653 + }, + { + "epoch": 0.76, + "learning_rate": 2.7621535107709206e-05, + "loss": 0.5009, + "step": 21654 + }, + { + "epoch": 0.76, + "learning_rate": 2.7613944215059284e-05, + "loss": 0.4063, + "step": 21655 + }, + { + "epoch": 0.76, + "learning_rate": 2.7606354198521946e-05, + "loss": 0.3338, + "step": 21656 + }, + { + "epoch": 0.76, + "learning_rate": 2.7598765058189034e-05, + "loss": 0.4346, + "step": 21657 + }, + { + "epoch": 0.76, + "learning_rate": 2.7591176794152408e-05, + "loss": 0.421, + "step": 21658 + }, + { + "epoch": 0.76, + "learning_rate": 2.7583589406503916e-05, + "loss": 0.4581, + "step": 21659 + }, + { + "epoch": 0.76, + "learning_rate": 2.757600289533536e-05, + "loss": 0.4877, + "step": 21660 + }, + { + "epoch": 0.76, + "learning_rate": 2.756841726073862e-05, + "loss": 0.4298, + "step": 21661 + }, + { + "epoch": 0.76, + "learning_rate": 2.756083250280548e-05, + "loss": 0.4755, + "step": 21662 + }, + { + "epoch": 0.76, + "learning_rate": 2.7553248621627736e-05, + "loss": 0.4856, + "step": 21663 + }, + { + "epoch": 0.76, + "learning_rate": 2.754566561729719e-05, + "loss": 0.46, + "step": 21664 + }, + { + "epoch": 0.76, + "learning_rate": 2.7538083489905574e-05, + "loss": 0.4503, + "step": 21665 + }, + { + "epoch": 0.76, + "learning_rate": 2.753050223954473e-05, + "loss": 0.3879, + "step": 21666 + }, + { + "epoch": 0.76, + "learning_rate": 2.7522921866306384e-05, + "loss": 0.3841, + "step": 21667 + }, + { + "epoch": 0.76, + "learning_rate": 2.751534237028227e-05, + "loss": 0.419, + "step": 21668 + }, + { + "epoch": 0.76, + "learning_rate": 2.750776375156415e-05, + "loss": 0.4154, + "step": 21669 + }, + { + "epoch": 0.76, + "learning_rate": 2.75001860102437e-05, + "loss": 0.3952, + "step": 21670 + }, + { + "epoch": 0.76, + "learning_rate": 2.7492609146412718e-05, + "loss": 0.4657, + "step": 21671 + }, + { + "epoch": 0.76, + "learning_rate": 2.7485033160162853e-05, + "loss": 0.4428, + "step": 21672 + }, + { + "epoch": 0.76, + "learning_rate": 2.7477458051585815e-05, + "loss": 0.4358, + "step": 21673 + }, + { + "epoch": 0.76, + "learning_rate": 2.746988382077328e-05, + "loss": 0.4892, + "step": 21674 + }, + { + "epoch": 0.76, + "learning_rate": 2.74623104678169e-05, + "loss": 0.4059, + "step": 21675 + }, + { + "epoch": 0.76, + "learning_rate": 2.745473799280839e-05, + "loss": 0.4132, + "step": 21676 + }, + { + "epoch": 0.76, + "learning_rate": 2.7447166395839385e-05, + "loss": 0.4481, + "step": 21677 + }, + { + "epoch": 0.76, + "learning_rate": 2.7439595677001505e-05, + "loss": 0.4213, + "step": 21678 + }, + { + "epoch": 0.76, + "learning_rate": 2.743202583638641e-05, + "loss": 0.4794, + "step": 21679 + }, + { + "epoch": 0.76, + "learning_rate": 2.742445687408567e-05, + "loss": 0.3959, + "step": 21680 + }, + { + "epoch": 0.76, + "learning_rate": 2.7416888790190954e-05, + "loss": 0.4676, + "step": 21681 + }, + { + "epoch": 0.76, + "learning_rate": 2.7409321584793833e-05, + "loss": 0.4437, + "step": 21682 + }, + { + "epoch": 0.76, + "learning_rate": 2.7401755257985896e-05, + "loss": 0.4413, + "step": 21683 + }, + { + "epoch": 0.76, + "learning_rate": 2.7394189809858727e-05, + "loss": 0.3816, + "step": 21684 + }, + { + "epoch": 0.76, + "learning_rate": 2.738662524050386e-05, + "loss": 0.4369, + "step": 21685 + }, + { + "epoch": 0.76, + "learning_rate": 2.737906155001292e-05, + "loss": 0.3732, + "step": 21686 + }, + { + "epoch": 0.76, + "learning_rate": 2.737149873847741e-05, + "loss": 0.4013, + "step": 21687 + }, + { + "epoch": 0.76, + "learning_rate": 2.7363936805988854e-05, + "loss": 0.3975, + "step": 21688 + }, + { + "epoch": 0.76, + "learning_rate": 2.735637575263881e-05, + "loss": 0.4674, + "step": 21689 + }, + { + "epoch": 0.76, + "learning_rate": 2.7348815578518762e-05, + "loss": 0.3904, + "step": 21690 + }, + { + "epoch": 0.76, + "learning_rate": 2.7341256283720196e-05, + "loss": 0.5222, + "step": 21691 + }, + { + "epoch": 0.76, + "learning_rate": 2.733369786833466e-05, + "loss": 0.4456, + "step": 21692 + }, + { + "epoch": 0.76, + "learning_rate": 2.732614033245361e-05, + "loss": 0.381, + "step": 21693 + }, + { + "epoch": 0.76, + "learning_rate": 2.731858367616853e-05, + "loss": 0.4723, + "step": 21694 + }, + { + "epoch": 0.76, + "learning_rate": 2.731102789957085e-05, + "loss": 0.5007, + "step": 21695 + }, + { + "epoch": 0.76, + "learning_rate": 2.730347300275201e-05, + "loss": 0.3905, + "step": 21696 + }, + { + "epoch": 0.76, + "learning_rate": 2.7295918985803514e-05, + "loss": 0.3884, + "step": 21697 + }, + { + "epoch": 0.76, + "learning_rate": 2.7288365848816753e-05, + "loss": 0.4037, + "step": 21698 + }, + { + "epoch": 0.76, + "learning_rate": 2.7280813591883148e-05, + "loss": 0.3626, + "step": 21699 + }, + { + "epoch": 0.76, + "learning_rate": 2.7273262215094098e-05, + "loss": 0.4303, + "step": 21700 + }, + { + "epoch": 0.76, + "learning_rate": 2.7265711718540975e-05, + "loss": 0.4891, + "step": 21701 + }, + { + "epoch": 0.76, + "learning_rate": 2.7258162102315233e-05, + "loss": 0.4397, + "step": 21702 + }, + { + "epoch": 0.76, + "learning_rate": 2.7250613366508214e-05, + "loss": 0.4566, + "step": 21703 + }, + { + "epoch": 0.76, + "learning_rate": 2.7243065511211273e-05, + "loss": 0.4813, + "step": 21704 + }, + { + "epoch": 0.76, + "learning_rate": 2.723551853651577e-05, + "loss": 0.4184, + "step": 21705 + }, + { + "epoch": 0.76, + "learning_rate": 2.7227972442513018e-05, + "loss": 0.4288, + "step": 21706 + }, + { + "epoch": 0.76, + "learning_rate": 2.722042722929442e-05, + "loss": 0.4372, + "step": 21707 + }, + { + "epoch": 0.76, + "learning_rate": 2.7212882896951254e-05, + "loss": 0.4293, + "step": 21708 + }, + { + "epoch": 0.76, + "learning_rate": 2.720533944557483e-05, + "loss": 0.4033, + "step": 21709 + }, + { + "epoch": 0.76, + "learning_rate": 2.7197796875256466e-05, + "loss": 0.4426, + "step": 21710 + }, + { + "epoch": 0.76, + "learning_rate": 2.719025518608741e-05, + "loss": 0.5433, + "step": 21711 + }, + { + "epoch": 0.76, + "learning_rate": 2.7182714378159003e-05, + "loss": 0.4833, + "step": 21712 + }, + { + "epoch": 0.76, + "learning_rate": 2.717517445156249e-05, + "loss": 0.4497, + "step": 21713 + }, + { + "epoch": 0.76, + "learning_rate": 2.7167635406389115e-05, + "loss": 0.3476, + "step": 21714 + }, + { + "epoch": 0.76, + "learning_rate": 2.7160097242730142e-05, + "loss": 0.4624, + "step": 21715 + }, + { + "epoch": 0.76, + "learning_rate": 2.715255996067676e-05, + "loss": 0.4076, + "step": 21716 + }, + { + "epoch": 0.76, + "learning_rate": 2.7145023560320282e-05, + "loss": 0.4292, + "step": 21717 + }, + { + "epoch": 0.76, + "learning_rate": 2.713748804175187e-05, + "loss": 0.4617, + "step": 21718 + }, + { + "epoch": 0.76, + "learning_rate": 2.7129953405062723e-05, + "loss": 0.3788, + "step": 21719 + }, + { + "epoch": 0.76, + "learning_rate": 2.7122419650344065e-05, + "loss": 0.3667, + "step": 21720 + }, + { + "epoch": 0.76, + "learning_rate": 2.7114886777687033e-05, + "loss": 0.4149, + "step": 21721 + }, + { + "epoch": 0.76, + "learning_rate": 2.7107354787182848e-05, + "loss": 0.4669, + "step": 21722 + }, + { + "epoch": 0.76, + "learning_rate": 2.7099823678922664e-05, + "loss": 0.38, + "step": 21723 + }, + { + "epoch": 0.76, + "learning_rate": 2.709229345299762e-05, + "loss": 0.4439, + "step": 21724 + }, + { + "epoch": 0.76, + "learning_rate": 2.7084764109498863e-05, + "loss": 0.3493, + "step": 21725 + }, + { + "epoch": 0.76, + "learning_rate": 2.7077235648517506e-05, + "loss": 0.4565, + "step": 21726 + }, + { + "epoch": 0.76, + "learning_rate": 2.7069708070144673e-05, + "loss": 0.3901, + "step": 21727 + }, + { + "epoch": 0.76, + "learning_rate": 2.7062181374471495e-05, + "loss": 0.4093, + "step": 21728 + }, + { + "epoch": 0.76, + "learning_rate": 2.705465556158906e-05, + "loss": 0.431, + "step": 21729 + }, + { + "epoch": 0.76, + "learning_rate": 2.7047130631588456e-05, + "loss": 0.5485, + "step": 21730 + }, + { + "epoch": 0.76, + "learning_rate": 2.703960658456075e-05, + "loss": 0.389, + "step": 21731 + }, + { + "epoch": 0.76, + "learning_rate": 2.7032083420597e-05, + "loss": 0.5509, + "step": 21732 + }, + { + "epoch": 0.76, + "learning_rate": 2.7024561139788285e-05, + "loss": 0.4259, + "step": 21733 + }, + { + "epoch": 0.76, + "learning_rate": 2.7017039742225657e-05, + "loss": 0.4185, + "step": 21734 + }, + { + "epoch": 0.76, + "learning_rate": 2.7009519228000126e-05, + "loss": 0.4182, + "step": 21735 + }, + { + "epoch": 0.76, + "learning_rate": 2.700199959720272e-05, + "loss": 0.4457, + "step": 21736 + }, + { + "epoch": 0.76, + "learning_rate": 2.6994480849924432e-05, + "loss": 0.4173, + "step": 21737 + }, + { + "epoch": 0.76, + "learning_rate": 2.6986962986256304e-05, + "loss": 0.4313, + "step": 21738 + }, + { + "epoch": 0.76, + "learning_rate": 2.697944600628931e-05, + "loss": 0.4158, + "step": 21739 + }, + { + "epoch": 0.76, + "learning_rate": 2.6971929910114446e-05, + "loss": 0.4435, + "step": 21740 + }, + { + "epoch": 0.76, + "learning_rate": 2.696441469782265e-05, + "loss": 0.376, + "step": 21741 + }, + { + "epoch": 0.76, + "learning_rate": 2.6956900369504868e-05, + "loss": 0.4201, + "step": 21742 + }, + { + "epoch": 0.76, + "learning_rate": 2.6949386925252118e-05, + "loss": 0.5248, + "step": 21743 + }, + { + "epoch": 0.76, + "learning_rate": 2.6941874365155283e-05, + "loss": 0.4247, + "step": 21744 + }, + { + "epoch": 0.76, + "learning_rate": 2.6934362689305316e-05, + "loss": 0.4068, + "step": 21745 + }, + { + "epoch": 0.76, + "learning_rate": 2.6926851897793115e-05, + "loss": 0.3816, + "step": 21746 + }, + { + "epoch": 0.76, + "learning_rate": 2.6919341990709556e-05, + "loss": 0.4861, + "step": 21747 + }, + { + "epoch": 0.76, + "learning_rate": 2.691183296814561e-05, + "loss": 0.4451, + "step": 21748 + }, + { + "epoch": 0.76, + "learning_rate": 2.6904324830192118e-05, + "loss": 0.4463, + "step": 21749 + }, + { + "epoch": 0.76, + "learning_rate": 2.6896817576939947e-05, + "loss": 0.3913, + "step": 21750 + }, + { + "epoch": 0.76, + "learning_rate": 2.6889311208479982e-05, + "loss": 0.4384, + "step": 21751 + }, + { + "epoch": 0.76, + "learning_rate": 2.6881805724903018e-05, + "loss": 0.5045, + "step": 21752 + }, + { + "epoch": 0.76, + "learning_rate": 2.6874301126299982e-05, + "loss": 0.438, + "step": 21753 + }, + { + "epoch": 0.76, + "learning_rate": 2.686679741276167e-05, + "loss": 0.422, + "step": 21754 + }, + { + "epoch": 0.76, + "learning_rate": 2.685929458437888e-05, + "loss": 0.4356, + "step": 21755 + }, + { + "epoch": 0.76, + "learning_rate": 2.6851792641242445e-05, + "loss": 0.4913, + "step": 21756 + }, + { + "epoch": 0.76, + "learning_rate": 2.684429158344315e-05, + "loss": 0.4327, + "step": 21757 + }, + { + "epoch": 0.76, + "learning_rate": 2.683679141107176e-05, + "loss": 0.3768, + "step": 21758 + }, + { + "epoch": 0.76, + "learning_rate": 2.682929212421911e-05, + "loss": 0.466, + "step": 21759 + }, + { + "epoch": 0.76, + "learning_rate": 2.682179372297593e-05, + "loss": 0.4172, + "step": 21760 + }, + { + "epoch": 0.76, + "learning_rate": 2.6814296207432986e-05, + "loss": 0.4251, + "step": 21761 + }, + { + "epoch": 0.76, + "learning_rate": 2.680679957768103e-05, + "loss": 0.4674, + "step": 21762 + }, + { + "epoch": 0.76, + "learning_rate": 2.679930383381074e-05, + "loss": 0.4148, + "step": 21763 + }, + { + "epoch": 0.76, + "learning_rate": 2.6791808975912925e-05, + "loss": 0.3854, + "step": 21764 + }, + { + "epoch": 0.76, + "learning_rate": 2.678431500407825e-05, + "loss": 0.3629, + "step": 21765 + }, + { + "epoch": 0.76, + "learning_rate": 2.677682191839742e-05, + "loss": 0.4158, + "step": 21766 + }, + { + "epoch": 0.76, + "learning_rate": 2.6769329718961146e-05, + "loss": 0.4089, + "step": 21767 + }, + { + "epoch": 0.76, + "learning_rate": 2.676183840586005e-05, + "loss": 0.4551, + "step": 21768 + }, + { + "epoch": 0.76, + "learning_rate": 2.675434797918488e-05, + "loss": 0.5002, + "step": 21769 + }, + { + "epoch": 0.76, + "learning_rate": 2.6746858439026258e-05, + "loss": 0.4736, + "step": 21770 + }, + { + "epoch": 0.76, + "learning_rate": 2.6739369785474833e-05, + "loss": 0.4574, + "step": 21771 + }, + { + "epoch": 0.76, + "learning_rate": 2.673188201862126e-05, + "loss": 0.4163, + "step": 21772 + }, + { + "epoch": 0.76, + "learning_rate": 2.6724395138556102e-05, + "loss": 0.4206, + "step": 21773 + }, + { + "epoch": 0.76, + "learning_rate": 2.6716909145370084e-05, + "loss": 0.387, + "step": 21774 + }, + { + "epoch": 0.76, + "learning_rate": 2.670942403915373e-05, + "loss": 0.4743, + "step": 21775 + }, + { + "epoch": 0.76, + "learning_rate": 2.6701939819997647e-05, + "loss": 0.3832, + "step": 21776 + }, + { + "epoch": 0.76, + "learning_rate": 2.6694456487992404e-05, + "loss": 0.4511, + "step": 21777 + }, + { + "epoch": 0.76, + "learning_rate": 2.668697404322863e-05, + "loss": 0.3912, + "step": 21778 + }, + { + "epoch": 0.76, + "learning_rate": 2.6679492485796844e-05, + "loss": 0.478, + "step": 21779 + }, + { + "epoch": 0.76, + "learning_rate": 2.6672011815787625e-05, + "loss": 0.4183, + "step": 21780 + }, + { + "epoch": 0.76, + "learning_rate": 2.6664532033291477e-05, + "loss": 0.4666, + "step": 21781 + }, + { + "epoch": 0.76, + "learning_rate": 2.6657053138398937e-05, + "loss": 0.4019, + "step": 21782 + }, + { + "epoch": 0.76, + "learning_rate": 2.6649575131200567e-05, + "loss": 0.4619, + "step": 21783 + }, + { + "epoch": 0.76, + "learning_rate": 2.6642098011786855e-05, + "loss": 0.5063, + "step": 21784 + }, + { + "epoch": 0.76, + "learning_rate": 2.663462178024828e-05, + "loss": 0.4033, + "step": 21785 + }, + { + "epoch": 0.76, + "learning_rate": 2.6627146436675344e-05, + "loss": 0.4682, + "step": 21786 + }, + { + "epoch": 0.76, + "learning_rate": 2.661967198115849e-05, + "loss": 0.4227, + "step": 21787 + }, + { + "epoch": 0.76, + "learning_rate": 2.6612198413788246e-05, + "loss": 0.4143, + "step": 21788 + }, + { + "epoch": 0.76, + "learning_rate": 2.6604725734655034e-05, + "loss": 0.4869, + "step": 21789 + }, + { + "epoch": 0.76, + "learning_rate": 2.659725394384931e-05, + "loss": 0.3544, + "step": 21790 + }, + { + "epoch": 0.76, + "learning_rate": 2.658978304146149e-05, + "loss": 0.4194, + "step": 21791 + }, + { + "epoch": 0.76, + "learning_rate": 2.6582313027582005e-05, + "loss": 0.5581, + "step": 21792 + }, + { + "epoch": 0.76, + "learning_rate": 2.6574843902301226e-05, + "loss": 0.5338, + "step": 21793 + }, + { + "epoch": 0.76, + "learning_rate": 2.656737566570964e-05, + "loss": 0.4168, + "step": 21794 + }, + { + "epoch": 0.76, + "learning_rate": 2.6559908317897586e-05, + "loss": 0.4218, + "step": 21795 + }, + { + "epoch": 0.76, + "learning_rate": 2.6552441858955457e-05, + "loss": 0.4711, + "step": 21796 + }, + { + "epoch": 0.76, + "learning_rate": 2.654497628897361e-05, + "loss": 0.4602, + "step": 21797 + }, + { + "epoch": 0.76, + "learning_rate": 2.6537511608042376e-05, + "loss": 0.4412, + "step": 21798 + }, + { + "epoch": 0.76, + "learning_rate": 2.6530047816252167e-05, + "loss": 0.4109, + "step": 21799 + }, + { + "epoch": 0.76, + "learning_rate": 2.6522584913693294e-05, + "loss": 0.4452, + "step": 21800 + }, + { + "epoch": 0.76, + "eval_loss": 0.42362895607948303, + "eval_runtime": 844.2826, + "eval_samples_per_second": 28.498, + "eval_steps_per_second": 14.249, + "step": 21800 + }, + { + "epoch": 0.76, + "learning_rate": 2.6515122900456067e-05, + "loss": 0.4085, + "step": 21801 + }, + { + "epoch": 0.76, + "learning_rate": 2.650766177663081e-05, + "loss": 0.4523, + "step": 21802 + }, + { + "epoch": 0.76, + "learning_rate": 2.6500201542307813e-05, + "loss": 0.361, + "step": 21803 + }, + { + "epoch": 0.76, + "learning_rate": 2.6492742197577404e-05, + "loss": 0.4339, + "step": 21804 + }, + { + "epoch": 0.76, + "learning_rate": 2.6485283742529843e-05, + "loss": 0.4453, + "step": 21805 + }, + { + "epoch": 0.76, + "learning_rate": 2.6477826177255417e-05, + "loss": 0.4398, + "step": 21806 + }, + { + "epoch": 0.76, + "learning_rate": 2.6470369501844373e-05, + "loss": 0.3775, + "step": 21807 + }, + { + "epoch": 0.76, + "learning_rate": 2.6462913716386927e-05, + "loss": 0.4247, + "step": 21808 + }, + { + "epoch": 0.76, + "learning_rate": 2.64554588209734e-05, + "loss": 0.3573, + "step": 21809 + }, + { + "epoch": 0.76, + "learning_rate": 2.644800481569397e-05, + "loss": 0.4952, + "step": 21810 + }, + { + "epoch": 0.76, + "learning_rate": 2.6440551700638872e-05, + "loss": 0.4372, + "step": 21811 + }, + { + "epoch": 0.76, + "learning_rate": 2.6433099475898306e-05, + "loss": 0.4034, + "step": 21812 + }, + { + "epoch": 0.76, + "learning_rate": 2.642564814156242e-05, + "loss": 0.4784, + "step": 21813 + }, + { + "epoch": 0.76, + "learning_rate": 2.6418197697721492e-05, + "loss": 0.4751, + "step": 21814 + }, + { + "epoch": 0.76, + "learning_rate": 2.641074814446566e-05, + "loss": 0.4634, + "step": 21815 + }, + { + "epoch": 0.76, + "learning_rate": 2.640329948188507e-05, + "loss": 0.4102, + "step": 21816 + }, + { + "epoch": 0.76, + "learning_rate": 2.6395851710069887e-05, + "loss": 0.4143, + "step": 21817 + }, + { + "epoch": 0.76, + "learning_rate": 2.6388404829110225e-05, + "loss": 0.4007, + "step": 21818 + }, + { + "epoch": 0.76, + "learning_rate": 2.638095883909628e-05, + "loss": 0.4508, + "step": 21819 + }, + { + "epoch": 0.76, + "learning_rate": 2.6373513740118127e-05, + "loss": 0.3703, + "step": 21820 + }, + { + "epoch": 0.76, + "learning_rate": 2.6366069532265902e-05, + "loss": 0.4307, + "step": 21821 + }, + { + "epoch": 0.76, + "learning_rate": 2.635862621562969e-05, + "loss": 0.4486, + "step": 21822 + }, + { + "epoch": 0.76, + "learning_rate": 2.6351183790299537e-05, + "loss": 0.5047, + "step": 21823 + }, + { + "epoch": 0.76, + "learning_rate": 2.6343742256365612e-05, + "loss": 0.4222, + "step": 21824 + }, + { + "epoch": 0.76, + "learning_rate": 2.6336301613917923e-05, + "loss": 0.4337, + "step": 21825 + }, + { + "epoch": 0.76, + "learning_rate": 2.632886186304654e-05, + "loss": 0.4538, + "step": 21826 + }, + { + "epoch": 0.76, + "learning_rate": 2.6321423003841506e-05, + "loss": 0.388, + "step": 21827 + }, + { + "epoch": 0.76, + "learning_rate": 2.6313985036392864e-05, + "loss": 0.4847, + "step": 21828 + }, + { + "epoch": 0.76, + "learning_rate": 2.6306547960790595e-05, + "loss": 0.4403, + "step": 21829 + }, + { + "epoch": 0.76, + "learning_rate": 2.6299111777124784e-05, + "loss": 0.2851, + "step": 21830 + }, + { + "epoch": 0.76, + "learning_rate": 2.6291676485485406e-05, + "loss": 0.4016, + "step": 21831 + }, + { + "epoch": 0.76, + "learning_rate": 2.628424208596243e-05, + "loss": 0.384, + "step": 21832 + }, + { + "epoch": 0.76, + "learning_rate": 2.6276808578645863e-05, + "loss": 0.4096, + "step": 21833 + }, + { + "epoch": 0.76, + "learning_rate": 2.626937596362563e-05, + "loss": 0.3945, + "step": 21834 + }, + { + "epoch": 0.76, + "learning_rate": 2.6261944240991753e-05, + "loss": 0.431, + "step": 21835 + }, + { + "epoch": 0.76, + "learning_rate": 2.6254513410834157e-05, + "loss": 0.4042, + "step": 21836 + }, + { + "epoch": 0.76, + "learning_rate": 2.6247083473242785e-05, + "loss": 0.4865, + "step": 21837 + }, + { + "epoch": 0.76, + "learning_rate": 2.6239654428307536e-05, + "loss": 0.4332, + "step": 21838 + }, + { + "epoch": 0.76, + "learning_rate": 2.623222627611833e-05, + "loss": 0.5501, + "step": 21839 + }, + { + "epoch": 0.76, + "learning_rate": 2.622479901676511e-05, + "loss": 0.4511, + "step": 21840 + }, + { + "epoch": 0.76, + "learning_rate": 2.6217372650337746e-05, + "loss": 0.4558, + "step": 21841 + }, + { + "epoch": 0.76, + "learning_rate": 2.620994717692613e-05, + "loss": 0.4259, + "step": 21842 + }, + { + "epoch": 0.76, + "learning_rate": 2.6202522596620127e-05, + "loss": 0.4446, + "step": 21843 + }, + { + "epoch": 0.76, + "learning_rate": 2.6195098909509563e-05, + "loss": 0.4339, + "step": 21844 + }, + { + "epoch": 0.76, + "learning_rate": 2.6187676115684366e-05, + "loss": 0.4485, + "step": 21845 + }, + { + "epoch": 0.76, + "learning_rate": 2.6180254215234333e-05, + "loss": 0.3962, + "step": 21846 + }, + { + "epoch": 0.76, + "learning_rate": 2.6172833208249303e-05, + "loss": 0.3791, + "step": 21847 + }, + { + "epoch": 0.76, + "learning_rate": 2.616541309481908e-05, + "loss": 0.3627, + "step": 21848 + }, + { + "epoch": 0.76, + "learning_rate": 2.615799387503346e-05, + "loss": 0.5002, + "step": 21849 + }, + { + "epoch": 0.76, + "learning_rate": 2.6150575548982292e-05, + "loss": 0.4027, + "step": 21850 + }, + { + "epoch": 0.76, + "learning_rate": 2.614315811675534e-05, + "loss": 0.4157, + "step": 21851 + }, + { + "epoch": 0.76, + "learning_rate": 2.6135741578442364e-05, + "loss": 0.4859, + "step": 21852 + }, + { + "epoch": 0.76, + "learning_rate": 2.6128325934133135e-05, + "loss": 0.3957, + "step": 21853 + }, + { + "epoch": 0.76, + "learning_rate": 2.6120911183917395e-05, + "loss": 0.4367, + "step": 21854 + }, + { + "epoch": 0.76, + "learning_rate": 2.6113497327884917e-05, + "loss": 0.5312, + "step": 21855 + }, + { + "epoch": 0.76, + "learning_rate": 2.6106084366125428e-05, + "loss": 0.5448, + "step": 21856 + }, + { + "epoch": 0.76, + "learning_rate": 2.6098672298728634e-05, + "loss": 0.5514, + "step": 21857 + }, + { + "epoch": 0.76, + "learning_rate": 2.609126112578425e-05, + "loss": 0.3575, + "step": 21858 + }, + { + "epoch": 0.76, + "learning_rate": 2.6083850847381975e-05, + "loss": 0.3788, + "step": 21859 + }, + { + "epoch": 0.76, + "learning_rate": 2.6076441463611478e-05, + "loss": 0.424, + "step": 21860 + }, + { + "epoch": 0.76, + "learning_rate": 2.606903297456249e-05, + "loss": 0.4099, + "step": 21861 + }, + { + "epoch": 0.77, + "learning_rate": 2.606162538032465e-05, + "loss": 0.4925, + "step": 21862 + }, + { + "epoch": 0.77, + "learning_rate": 2.6054218680987606e-05, + "loss": 0.4877, + "step": 21863 + }, + { + "epoch": 0.77, + "learning_rate": 2.6046812876641013e-05, + "loss": 0.442, + "step": 21864 + }, + { + "epoch": 0.77, + "learning_rate": 2.6039407967374475e-05, + "loss": 0.4491, + "step": 21865 + }, + { + "epoch": 0.77, + "learning_rate": 2.603200395327767e-05, + "loss": 0.4205, + "step": 21866 + }, + { + "epoch": 0.77, + "learning_rate": 2.602460083444018e-05, + "loss": 0.4434, + "step": 21867 + }, + { + "epoch": 0.77, + "learning_rate": 2.601719861095163e-05, + "loss": 0.4238, + "step": 21868 + }, + { + "epoch": 0.77, + "learning_rate": 2.6009797282901582e-05, + "loss": 0.4456, + "step": 21869 + }, + { + "epoch": 0.77, + "learning_rate": 2.6002396850379608e-05, + "loss": 0.4183, + "step": 21870 + }, + { + "epoch": 0.77, + "learning_rate": 2.5994997313475323e-05, + "loss": 0.3838, + "step": 21871 + }, + { + "epoch": 0.77, + "learning_rate": 2.598759867227827e-05, + "loss": 0.4199, + "step": 21872 + }, + { + "epoch": 0.77, + "learning_rate": 2.5980200926877985e-05, + "loss": 0.3701, + "step": 21873 + }, + { + "epoch": 0.77, + "learning_rate": 2.597280407736401e-05, + "loss": 0.3999, + "step": 21874 + }, + { + "epoch": 0.77, + "learning_rate": 2.596540812382584e-05, + "loss": 0.4614, + "step": 21875 + }, + { + "epoch": 0.77, + "learning_rate": 2.5958013066353048e-05, + "loss": 0.4067, + "step": 21876 + }, + { + "epoch": 0.77, + "learning_rate": 2.595061890503512e-05, + "loss": 0.4444, + "step": 21877 + }, + { + "epoch": 0.77, + "learning_rate": 2.5943225639961545e-05, + "loss": 0.4526, + "step": 21878 + }, + { + "epoch": 0.77, + "learning_rate": 2.59358332712218e-05, + "loss": 0.4436, + "step": 21879 + }, + { + "epoch": 0.77, + "learning_rate": 2.5928441798905334e-05, + "loss": 0.4513, + "step": 21880 + }, + { + "epoch": 0.77, + "learning_rate": 2.5921051223101666e-05, + "loss": 0.4588, + "step": 21881 + }, + { + "epoch": 0.77, + "learning_rate": 2.5913661543900214e-05, + "loss": 0.4623, + "step": 21882 + }, + { + "epoch": 0.77, + "learning_rate": 2.5906272761390428e-05, + "loss": 0.3692, + "step": 21883 + }, + { + "epoch": 0.77, + "learning_rate": 2.5898884875661722e-05, + "loss": 0.4319, + "step": 21884 + }, + { + "epoch": 0.77, + "learning_rate": 2.5891497886803485e-05, + "loss": 0.4538, + "step": 21885 + }, + { + "epoch": 0.77, + "learning_rate": 2.5884111794905196e-05, + "loss": 0.4879, + "step": 21886 + }, + { + "epoch": 0.77, + "learning_rate": 2.5876726600056223e-05, + "loss": 0.524, + "step": 21887 + }, + { + "epoch": 0.77, + "learning_rate": 2.5869342302345945e-05, + "loss": 0.3784, + "step": 21888 + }, + { + "epoch": 0.77, + "learning_rate": 2.5861958901863727e-05, + "loss": 0.3816, + "step": 21889 + }, + { + "epoch": 0.77, + "learning_rate": 2.5854576398698916e-05, + "loss": 0.4949, + "step": 21890 + }, + { + "epoch": 0.77, + "learning_rate": 2.584719479294092e-05, + "loss": 0.4182, + "step": 21891 + }, + { + "epoch": 0.77, + "learning_rate": 2.5839814084679047e-05, + "loss": 0.3813, + "step": 21892 + }, + { + "epoch": 0.77, + "learning_rate": 2.5832434274002636e-05, + "loss": 0.3951, + "step": 21893 + }, + { + "epoch": 0.77, + "learning_rate": 2.5825055361001005e-05, + "loss": 0.4522, + "step": 21894 + }, + { + "epoch": 0.77, + "learning_rate": 2.581767734576347e-05, + "loss": 0.3263, + "step": 21895 + }, + { + "epoch": 0.77, + "learning_rate": 2.581030022837928e-05, + "loss": 0.4168, + "step": 21896 + }, + { + "epoch": 0.77, + "learning_rate": 2.5802924008937802e-05, + "loss": 0.3728, + "step": 21897 + }, + { + "epoch": 0.77, + "learning_rate": 2.579554868752827e-05, + "loss": 0.4247, + "step": 21898 + }, + { + "epoch": 0.77, + "learning_rate": 2.578817426423996e-05, + "loss": 0.4457, + "step": 21899 + }, + { + "epoch": 0.77, + "learning_rate": 2.5780800739162125e-05, + "loss": 0.3835, + "step": 21900 + }, + { + "epoch": 0.77, + "learning_rate": 2.577342811238398e-05, + "loss": 0.465, + "step": 21901 + }, + { + "epoch": 0.77, + "learning_rate": 2.5766056383994808e-05, + "loss": 0.4139, + "step": 21902 + }, + { + "epoch": 0.77, + "learning_rate": 2.5758685554083804e-05, + "loss": 0.4544, + "step": 21903 + }, + { + "epoch": 0.77, + "learning_rate": 2.575131562274019e-05, + "loss": 0.3698, + "step": 21904 + }, + { + "epoch": 0.77, + "learning_rate": 2.5743946590053168e-05, + "loss": 0.4791, + "step": 21905 + }, + { + "epoch": 0.77, + "learning_rate": 2.573657845611188e-05, + "loss": 0.3773, + "step": 21906 + }, + { + "epoch": 0.77, + "learning_rate": 2.5729211221005588e-05, + "loss": 0.5098, + "step": 21907 + }, + { + "epoch": 0.77, + "learning_rate": 2.572184488482341e-05, + "loss": 0.4554, + "step": 21908 + }, + { + "epoch": 0.77, + "learning_rate": 2.571447944765455e-05, + "loss": 0.425, + "step": 21909 + }, + { + "epoch": 0.77, + "learning_rate": 2.570711490958805e-05, + "loss": 0.436, + "step": 21910 + }, + { + "epoch": 0.77, + "learning_rate": 2.5699751270713136e-05, + "loss": 0.4886, + "step": 21911 + }, + { + "epoch": 0.77, + "learning_rate": 2.5692388531118906e-05, + "loss": 0.3934, + "step": 21912 + }, + { + "epoch": 0.77, + "learning_rate": 2.568502669089449e-05, + "loss": 0.3897, + "step": 21913 + }, + { + "epoch": 0.77, + "learning_rate": 2.5677665750128964e-05, + "loss": 0.397, + "step": 21914 + }, + { + "epoch": 0.77, + "learning_rate": 2.5670305708911402e-05, + "loss": 0.4966, + "step": 21915 + }, + { + "epoch": 0.77, + "learning_rate": 2.566294656733095e-05, + "loss": 0.4144, + "step": 21916 + }, + { + "epoch": 0.77, + "learning_rate": 2.565558832547664e-05, + "loss": 0.4662, + "step": 21917 + }, + { + "epoch": 0.77, + "learning_rate": 2.564823098343754e-05, + "loss": 0.4805, + "step": 21918 + }, + { + "epoch": 0.77, + "learning_rate": 2.5640874541302696e-05, + "loss": 0.4235, + "step": 21919 + }, + { + "epoch": 0.77, + "learning_rate": 2.56335189991611e-05, + "loss": 0.3762, + "step": 21920 + }, + { + "epoch": 0.77, + "learning_rate": 2.5626164357101857e-05, + "loss": 0.5094, + "step": 21921 + }, + { + "epoch": 0.77, + "learning_rate": 2.561881061521395e-05, + "loss": 0.4293, + "step": 21922 + }, + { + "epoch": 0.77, + "learning_rate": 2.5611457773586378e-05, + "loss": 0.4927, + "step": 21923 + }, + { + "epoch": 0.77, + "learning_rate": 2.5604105832308135e-05, + "loss": 0.4146, + "step": 21924 + }, + { + "epoch": 0.77, + "learning_rate": 2.559675479146818e-05, + "loss": 0.3693, + "step": 21925 + }, + { + "epoch": 0.77, + "learning_rate": 2.5589404651155545e-05, + "loss": 0.4792, + "step": 21926 + }, + { + "epoch": 0.77, + "learning_rate": 2.558205541145915e-05, + "loss": 0.4357, + "step": 21927 + }, + { + "epoch": 0.77, + "learning_rate": 2.557470707246795e-05, + "loss": 0.4727, + "step": 21928 + }, + { + "epoch": 0.77, + "learning_rate": 2.5567359634270905e-05, + "loss": 0.4331, + "step": 21929 + }, + { + "epoch": 0.77, + "learning_rate": 2.5560013096956915e-05, + "loss": 0.4322, + "step": 21930 + }, + { + "epoch": 0.77, + "learning_rate": 2.5552667460614877e-05, + "loss": 0.5147, + "step": 21931 + }, + { + "epoch": 0.77, + "learning_rate": 2.5545322725333755e-05, + "loss": 0.5406, + "step": 21932 + }, + { + "epoch": 0.77, + "learning_rate": 2.553797889120243e-05, + "loss": 0.4513, + "step": 21933 + }, + { + "epoch": 0.77, + "learning_rate": 2.5530635958309768e-05, + "loss": 0.4305, + "step": 21934 + }, + { + "epoch": 0.77, + "learning_rate": 2.552329392674465e-05, + "loss": 0.4053, + "step": 21935 + }, + { + "epoch": 0.77, + "learning_rate": 2.551595279659591e-05, + "loss": 0.4239, + "step": 21936 + }, + { + "epoch": 0.77, + "learning_rate": 2.5508612567952462e-05, + "loss": 0.3918, + "step": 21937 + }, + { + "epoch": 0.77, + "learning_rate": 2.550127324090312e-05, + "loss": 0.4662, + "step": 21938 + }, + { + "epoch": 0.77, + "learning_rate": 2.54939348155367e-05, + "loss": 0.4156, + "step": 21939 + }, + { + "epoch": 0.77, + "learning_rate": 2.5486597291942038e-05, + "loss": 0.4051, + "step": 21940 + }, + { + "epoch": 0.77, + "learning_rate": 2.5479260670207907e-05, + "loss": 0.455, + "step": 21941 + }, + { + "epoch": 0.77, + "learning_rate": 2.5471924950423152e-05, + "loss": 0.4577, + "step": 21942 + }, + { + "epoch": 0.77, + "learning_rate": 2.5464590132676557e-05, + "loss": 0.5221, + "step": 21943 + }, + { + "epoch": 0.77, + "learning_rate": 2.545725621705687e-05, + "loss": 0.4887, + "step": 21944 + }, + { + "epoch": 0.77, + "learning_rate": 2.544992320365287e-05, + "loss": 0.4728, + "step": 21945 + }, + { + "epoch": 0.77, + "learning_rate": 2.544259109255328e-05, + "loss": 0.4622, + "step": 21946 + }, + { + "epoch": 0.77, + "learning_rate": 2.5435259883846895e-05, + "loss": 0.4138, + "step": 21947 + }, + { + "epoch": 0.77, + "learning_rate": 2.5427929577622433e-05, + "loss": 0.5043, + "step": 21948 + }, + { + "epoch": 0.77, + "learning_rate": 2.54206001739686e-05, + "loss": 0.4636, + "step": 21949 + }, + { + "epoch": 0.77, + "learning_rate": 2.5413271672974114e-05, + "loss": 0.4451, + "step": 21950 + }, + { + "epoch": 0.77, + "learning_rate": 2.540594407472764e-05, + "loss": 0.4314, + "step": 21951 + }, + { + "epoch": 0.77, + "learning_rate": 2.5398617379317923e-05, + "loss": 0.4329, + "step": 21952 + }, + { + "epoch": 0.77, + "learning_rate": 2.5391291586833622e-05, + "loss": 0.4686, + "step": 21953 + }, + { + "epoch": 0.77, + "learning_rate": 2.5383966697363394e-05, + "loss": 0.5127, + "step": 21954 + }, + { + "epoch": 0.77, + "learning_rate": 2.53766427109959e-05, + "loss": 0.4511, + "step": 21955 + }, + { + "epoch": 0.77, + "learning_rate": 2.5369319627819753e-05, + "loss": 0.3649, + "step": 21956 + }, + { + "epoch": 0.77, + "learning_rate": 2.5361997447923647e-05, + "loss": 0.4619, + "step": 21957 + }, + { + "epoch": 0.77, + "learning_rate": 2.5354676171396176e-05, + "loss": 0.4246, + "step": 21958 + }, + { + "epoch": 0.77, + "learning_rate": 2.5347355798325945e-05, + "loss": 0.5039, + "step": 21959 + }, + { + "epoch": 0.77, + "learning_rate": 2.5340036328801554e-05, + "loss": 0.4203, + "step": 21960 + }, + { + "epoch": 0.77, + "learning_rate": 2.5332717762911607e-05, + "loss": 0.4459, + "step": 21961 + }, + { + "epoch": 0.77, + "learning_rate": 2.5325400100744645e-05, + "loss": 0.437, + "step": 21962 + }, + { + "epoch": 0.77, + "learning_rate": 2.531808334238929e-05, + "loss": 0.4539, + "step": 21963 + }, + { + "epoch": 0.77, + "learning_rate": 2.5310767487934083e-05, + "loss": 0.3854, + "step": 21964 + }, + { + "epoch": 0.77, + "learning_rate": 2.5303452537467553e-05, + "loss": 0.4793, + "step": 21965 + }, + { + "epoch": 0.77, + "learning_rate": 2.5296138491078248e-05, + "loss": 0.4064, + "step": 21966 + }, + { + "epoch": 0.77, + "learning_rate": 2.5288825348854662e-05, + "loss": 0.4557, + "step": 21967 + }, + { + "epoch": 0.77, + "learning_rate": 2.528151311088537e-05, + "loss": 0.4264, + "step": 21968 + }, + { + "epoch": 0.77, + "learning_rate": 2.5274201777258834e-05, + "loss": 0.3926, + "step": 21969 + }, + { + "epoch": 0.77, + "learning_rate": 2.5266891348063547e-05, + "loss": 0.3759, + "step": 21970 + }, + { + "epoch": 0.77, + "learning_rate": 2.5259581823388e-05, + "loss": 0.3934, + "step": 21971 + }, + { + "epoch": 0.77, + "learning_rate": 2.525227320332062e-05, + "loss": 0.4339, + "step": 21972 + }, + { + "epoch": 0.77, + "learning_rate": 2.5244965487949935e-05, + "loss": 0.3758, + "step": 21973 + }, + { + "epoch": 0.77, + "learning_rate": 2.5237658677364363e-05, + "loss": 0.3854, + "step": 21974 + }, + { + "epoch": 0.77, + "learning_rate": 2.523035277165233e-05, + "loss": 0.4598, + "step": 21975 + }, + { + "epoch": 0.77, + "learning_rate": 2.5223047770902274e-05, + "loss": 0.3649, + "step": 21976 + }, + { + "epoch": 0.77, + "learning_rate": 2.5215743675202574e-05, + "loss": 0.4839, + "step": 21977 + }, + { + "epoch": 0.77, + "learning_rate": 2.5208440484641705e-05, + "loss": 0.5148, + "step": 21978 + }, + { + "epoch": 0.77, + "learning_rate": 2.5201138199308007e-05, + "loss": 0.5598, + "step": 21979 + }, + { + "epoch": 0.77, + "learning_rate": 2.5193836819289885e-05, + "loss": 0.4989, + "step": 21980 + }, + { + "epoch": 0.77, + "learning_rate": 2.5186536344675692e-05, + "loss": 0.5521, + "step": 21981 + }, + { + "epoch": 0.77, + "learning_rate": 2.517923677555377e-05, + "loss": 0.5153, + "step": 21982 + }, + { + "epoch": 0.77, + "learning_rate": 2.5171938112012517e-05, + "loss": 0.3986, + "step": 21983 + }, + { + "epoch": 0.77, + "learning_rate": 2.5164640354140256e-05, + "loss": 0.3471, + "step": 21984 + }, + { + "epoch": 0.77, + "learning_rate": 2.515734350202531e-05, + "loss": 0.4387, + "step": 21985 + }, + { + "epoch": 0.77, + "learning_rate": 2.5150047555755986e-05, + "loss": 0.4259, + "step": 21986 + }, + { + "epoch": 0.77, + "learning_rate": 2.5142752515420566e-05, + "loss": 0.4659, + "step": 21987 + }, + { + "epoch": 0.77, + "learning_rate": 2.5135458381107403e-05, + "loss": 0.4791, + "step": 21988 + }, + { + "epoch": 0.77, + "learning_rate": 2.5128165152904746e-05, + "loss": 0.5044, + "step": 21989 + }, + { + "epoch": 0.77, + "learning_rate": 2.5120872830900878e-05, + "loss": 0.4026, + "step": 21990 + }, + { + "epoch": 0.77, + "learning_rate": 2.5113581415184062e-05, + "loss": 0.3717, + "step": 21991 + }, + { + "epoch": 0.77, + "learning_rate": 2.51062909058425e-05, + "loss": 0.4482, + "step": 21992 + }, + { + "epoch": 0.77, + "learning_rate": 2.509900130296451e-05, + "loss": 0.4197, + "step": 21993 + }, + { + "epoch": 0.77, + "learning_rate": 2.5091712606638273e-05, + "loss": 0.5122, + "step": 21994 + }, + { + "epoch": 0.77, + "learning_rate": 2.5084424816952025e-05, + "loss": 0.4339, + "step": 21995 + }, + { + "epoch": 0.77, + "learning_rate": 2.5077137933993956e-05, + "loss": 0.4435, + "step": 21996 + }, + { + "epoch": 0.77, + "learning_rate": 2.5069851957852275e-05, + "loss": 0.3883, + "step": 21997 + }, + { + "epoch": 0.77, + "learning_rate": 2.5062566888615136e-05, + "loss": 0.4619, + "step": 21998 + }, + { + "epoch": 0.77, + "learning_rate": 2.5055282726370767e-05, + "loss": 0.4838, + "step": 21999 + }, + { + "epoch": 0.77, + "learning_rate": 2.5047999471207294e-05, + "loss": 0.3565, + "step": 22000 + }, + { + "epoch": 0.77, + "eval_loss": 0.42161640524864197, + "eval_runtime": 851.5803, + "eval_samples_per_second": 28.253, + "eval_steps_per_second": 14.127, + "step": 22000 + }, + { + "epoch": 0.77, + "learning_rate": 2.5040717123212874e-05, + "loss": 0.4264, + "step": 22001 + }, + { + "epoch": 0.77, + "learning_rate": 2.5033435682475658e-05, + "loss": 0.4162, + "step": 22002 + }, + { + "epoch": 0.77, + "learning_rate": 2.502615514908373e-05, + "loss": 0.4372, + "step": 22003 + }, + { + "epoch": 0.77, + "learning_rate": 2.5018875523125285e-05, + "loss": 0.4356, + "step": 22004 + }, + { + "epoch": 0.77, + "learning_rate": 2.5011596804688386e-05, + "loss": 0.4885, + "step": 22005 + }, + { + "epoch": 0.77, + "learning_rate": 2.500431899386114e-05, + "loss": 0.3985, + "step": 22006 + }, + { + "epoch": 0.77, + "learning_rate": 2.4997042090731624e-05, + "loss": 0.4073, + "step": 22007 + }, + { + "epoch": 0.77, + "learning_rate": 2.498976609538789e-05, + "loss": 0.407, + "step": 22008 + }, + { + "epoch": 0.77, + "learning_rate": 2.4982491007918063e-05, + "loss": 0.391, + "step": 22009 + }, + { + "epoch": 0.77, + "learning_rate": 2.4975216828410153e-05, + "loss": 0.3698, + "step": 22010 + }, + { + "epoch": 0.77, + "learning_rate": 2.4967943556952223e-05, + "loss": 0.3753, + "step": 22011 + }, + { + "epoch": 0.77, + "learning_rate": 2.4960671193632278e-05, + "loss": 0.3813, + "step": 22012 + }, + { + "epoch": 0.77, + "learning_rate": 2.495339973853833e-05, + "loss": 0.4722, + "step": 22013 + }, + { + "epoch": 0.77, + "learning_rate": 2.4946129191758438e-05, + "loss": 0.5809, + "step": 22014 + }, + { + "epoch": 0.77, + "learning_rate": 2.4938859553380567e-05, + "loss": 0.4221, + "step": 22015 + }, + { + "epoch": 0.77, + "learning_rate": 2.4931590823492712e-05, + "loss": 0.3981, + "step": 22016 + }, + { + "epoch": 0.77, + "learning_rate": 2.4924323002182835e-05, + "loss": 0.4717, + "step": 22017 + }, + { + "epoch": 0.77, + "learning_rate": 2.4917056089538893e-05, + "loss": 0.4377, + "step": 22018 + }, + { + "epoch": 0.77, + "learning_rate": 2.4909790085648888e-05, + "loss": 0.4493, + "step": 22019 + }, + { + "epoch": 0.77, + "learning_rate": 2.490252499060073e-05, + "loss": 0.4538, + "step": 22020 + }, + { + "epoch": 0.77, + "learning_rate": 2.4895260804482345e-05, + "loss": 0.4346, + "step": 22021 + }, + { + "epoch": 0.77, + "learning_rate": 2.4887997527381668e-05, + "loss": 0.5659, + "step": 22022 + }, + { + "epoch": 0.77, + "learning_rate": 2.4880735159386582e-05, + "loss": 0.4688, + "step": 22023 + }, + { + "epoch": 0.77, + "learning_rate": 2.4873473700585028e-05, + "loss": 0.3798, + "step": 22024 + }, + { + "epoch": 0.77, + "learning_rate": 2.4866213151064865e-05, + "loss": 0.3556, + "step": 22025 + }, + { + "epoch": 0.77, + "learning_rate": 2.4858953510913996e-05, + "loss": 0.4048, + "step": 22026 + }, + { + "epoch": 0.77, + "learning_rate": 2.4851694780220247e-05, + "loss": 0.4698, + "step": 22027 + }, + { + "epoch": 0.77, + "learning_rate": 2.4844436959071514e-05, + "loss": 0.4513, + "step": 22028 + }, + { + "epoch": 0.77, + "learning_rate": 2.4837180047555576e-05, + "loss": 0.3548, + "step": 22029 + }, + { + "epoch": 0.77, + "learning_rate": 2.4829924045760355e-05, + "loss": 0.5028, + "step": 22030 + }, + { + "epoch": 0.77, + "learning_rate": 2.482266895377362e-05, + "loss": 0.4409, + "step": 22031 + }, + { + "epoch": 0.77, + "learning_rate": 2.4815414771683188e-05, + "loss": 0.4637, + "step": 22032 + }, + { + "epoch": 0.77, + "learning_rate": 2.4808161499576865e-05, + "loss": 0.363, + "step": 22033 + }, + { + "epoch": 0.77, + "learning_rate": 2.4800909137542406e-05, + "loss": 0.3872, + "step": 22034 + }, + { + "epoch": 0.77, + "learning_rate": 2.479365768566765e-05, + "loss": 0.5007, + "step": 22035 + }, + { + "epoch": 0.77, + "learning_rate": 2.4786407144040334e-05, + "loss": 0.5181, + "step": 22036 + }, + { + "epoch": 0.77, + "learning_rate": 2.4779157512748207e-05, + "loss": 0.4057, + "step": 22037 + }, + { + "epoch": 0.77, + "learning_rate": 2.4771908791879028e-05, + "loss": 0.4936, + "step": 22038 + }, + { + "epoch": 0.77, + "learning_rate": 2.4764660981520482e-05, + "loss": 0.4568, + "step": 22039 + }, + { + "epoch": 0.77, + "learning_rate": 2.4757414081760366e-05, + "loss": 0.4649, + "step": 22040 + }, + { + "epoch": 0.77, + "learning_rate": 2.4750168092686355e-05, + "loss": 0.4044, + "step": 22041 + }, + { + "epoch": 0.77, + "learning_rate": 2.4742923014386156e-05, + "loss": 0.5022, + "step": 22042 + }, + { + "epoch": 0.77, + "learning_rate": 2.4735678846947442e-05, + "loss": 0.4262, + "step": 22043 + }, + { + "epoch": 0.77, + "learning_rate": 2.472843559045792e-05, + "loss": 0.4278, + "step": 22044 + }, + { + "epoch": 0.77, + "learning_rate": 2.4721193245005226e-05, + "loss": 0.3833, + "step": 22045 + }, + { + "epoch": 0.77, + "learning_rate": 2.471395181067705e-05, + "loss": 0.3684, + "step": 22046 + }, + { + "epoch": 0.77, + "learning_rate": 2.4706711287561003e-05, + "loss": 0.3342, + "step": 22047 + }, + { + "epoch": 0.77, + "learning_rate": 2.469947167574471e-05, + "loss": 0.3679, + "step": 22048 + }, + { + "epoch": 0.77, + "learning_rate": 2.4692232975315855e-05, + "loss": 0.3789, + "step": 22049 + }, + { + "epoch": 0.77, + "learning_rate": 2.4684995186362015e-05, + "loss": 0.3741, + "step": 22050 + }, + { + "epoch": 0.77, + "learning_rate": 2.467775830897079e-05, + "loss": 0.3736, + "step": 22051 + }, + { + "epoch": 0.77, + "learning_rate": 2.4670522343229775e-05, + "loss": 0.4674, + "step": 22052 + }, + { + "epoch": 0.77, + "learning_rate": 2.466328728922651e-05, + "loss": 0.4849, + "step": 22053 + }, + { + "epoch": 0.77, + "learning_rate": 2.465605314704863e-05, + "loss": 0.3497, + "step": 22054 + }, + { + "epoch": 0.77, + "learning_rate": 2.4648819916783673e-05, + "loss": 0.4236, + "step": 22055 + }, + { + "epoch": 0.77, + "learning_rate": 2.464158759851917e-05, + "loss": 0.433, + "step": 22056 + }, + { + "epoch": 0.77, + "learning_rate": 2.4634356192342655e-05, + "loss": 0.4082, + "step": 22057 + }, + { + "epoch": 0.77, + "learning_rate": 2.4627125698341624e-05, + "loss": 0.4797, + "step": 22058 + }, + { + "epoch": 0.77, + "learning_rate": 2.461989611660367e-05, + "loss": 0.4148, + "step": 22059 + }, + { + "epoch": 0.77, + "learning_rate": 2.461266744721623e-05, + "loss": 0.3978, + "step": 22060 + }, + { + "epoch": 0.77, + "learning_rate": 2.460543969026683e-05, + "loss": 0.4892, + "step": 22061 + }, + { + "epoch": 0.77, + "learning_rate": 2.4598212845842928e-05, + "loss": 0.3714, + "step": 22062 + }, + { + "epoch": 0.77, + "learning_rate": 2.4590986914032e-05, + "loss": 0.4184, + "step": 22063 + }, + { + "epoch": 0.77, + "learning_rate": 2.4583761894921463e-05, + "loss": 0.396, + "step": 22064 + }, + { + "epoch": 0.77, + "learning_rate": 2.457653778859884e-05, + "loss": 0.4489, + "step": 22065 + }, + { + "epoch": 0.77, + "learning_rate": 2.4569314595151526e-05, + "loss": 0.4283, + "step": 22066 + }, + { + "epoch": 0.77, + "learning_rate": 2.456209231466696e-05, + "loss": 0.468, + "step": 22067 + }, + { + "epoch": 0.77, + "learning_rate": 2.4554870947232546e-05, + "loss": 0.4191, + "step": 22068 + }, + { + "epoch": 0.77, + "learning_rate": 2.4547650492935647e-05, + "loss": 0.3786, + "step": 22069 + }, + { + "epoch": 0.77, + "learning_rate": 2.4540430951863725e-05, + "loss": 0.4897, + "step": 22070 + }, + { + "epoch": 0.77, + "learning_rate": 2.4533212324104127e-05, + "loss": 0.3767, + "step": 22071 + }, + { + "epoch": 0.77, + "learning_rate": 2.4525994609744228e-05, + "loss": 0.411, + "step": 22072 + }, + { + "epoch": 0.77, + "learning_rate": 2.4518777808871386e-05, + "loss": 0.4437, + "step": 22073 + }, + { + "epoch": 0.77, + "learning_rate": 2.451156192157291e-05, + "loss": 0.5283, + "step": 22074 + }, + { + "epoch": 0.77, + "learning_rate": 2.450434694793621e-05, + "loss": 0.3748, + "step": 22075 + }, + { + "epoch": 0.77, + "learning_rate": 2.449713288804857e-05, + "loss": 0.4405, + "step": 22076 + }, + { + "epoch": 0.77, + "learning_rate": 2.4489919741997304e-05, + "loss": 0.4412, + "step": 22077 + }, + { + "epoch": 0.77, + "learning_rate": 2.448270750986972e-05, + "loss": 0.4017, + "step": 22078 + }, + { + "epoch": 0.77, + "learning_rate": 2.4475496191753066e-05, + "loss": 0.4107, + "step": 22079 + }, + { + "epoch": 0.77, + "learning_rate": 2.446828578773471e-05, + "loss": 0.3741, + "step": 22080 + }, + { + "epoch": 0.77, + "learning_rate": 2.4461076297901873e-05, + "loss": 0.4093, + "step": 22081 + }, + { + "epoch": 0.77, + "learning_rate": 2.4453867722341816e-05, + "loss": 0.4407, + "step": 22082 + }, + { + "epoch": 0.77, + "learning_rate": 2.444666006114179e-05, + "loss": 0.512, + "step": 22083 + }, + { + "epoch": 0.77, + "learning_rate": 2.4439453314389004e-05, + "loss": 0.4393, + "step": 22084 + }, + { + "epoch": 0.77, + "learning_rate": 2.4432247482170745e-05, + "loss": 0.4522, + "step": 22085 + }, + { + "epoch": 0.77, + "learning_rate": 2.4425042564574184e-05, + "loss": 0.3947, + "step": 22086 + }, + { + "epoch": 0.77, + "learning_rate": 2.4417838561686534e-05, + "loss": 0.4911, + "step": 22087 + }, + { + "epoch": 0.77, + "learning_rate": 2.4410635473594988e-05, + "loss": 0.5019, + "step": 22088 + }, + { + "epoch": 0.77, + "learning_rate": 2.440343330038669e-05, + "loss": 0.475, + "step": 22089 + }, + { + "epoch": 0.77, + "learning_rate": 2.439623204214889e-05, + "loss": 0.4491, + "step": 22090 + }, + { + "epoch": 0.77, + "learning_rate": 2.438903169896869e-05, + "loss": 0.4353, + "step": 22091 + }, + { + "epoch": 0.77, + "learning_rate": 2.4381832270933258e-05, + "loss": 0.4215, + "step": 22092 + }, + { + "epoch": 0.77, + "learning_rate": 2.4374633758129727e-05, + "loss": 0.4916, + "step": 22093 + }, + { + "epoch": 0.77, + "learning_rate": 2.4367436160645218e-05, + "loss": 0.4657, + "step": 22094 + }, + { + "epoch": 0.77, + "learning_rate": 2.4360239478566816e-05, + "loss": 0.5036, + "step": 22095 + }, + { + "epoch": 0.77, + "learning_rate": 2.4353043711981692e-05, + "loss": 0.4112, + "step": 22096 + }, + { + "epoch": 0.77, + "learning_rate": 2.4345848860976907e-05, + "loss": 0.3993, + "step": 22097 + }, + { + "epoch": 0.77, + "learning_rate": 2.4338654925639538e-05, + "loss": 0.3812, + "step": 22098 + }, + { + "epoch": 0.77, + "learning_rate": 2.433146190605665e-05, + "loss": 0.5865, + "step": 22099 + }, + { + "epoch": 0.77, + "learning_rate": 2.432426980231529e-05, + "loss": 0.4938, + "step": 22100 + }, + { + "epoch": 0.77, + "learning_rate": 2.4317078614502553e-05, + "loss": 0.4671, + "step": 22101 + }, + { + "epoch": 0.77, + "learning_rate": 2.4309888342705454e-05, + "loss": 0.4151, + "step": 22102 + }, + { + "epoch": 0.77, + "learning_rate": 2.4302698987011008e-05, + "loss": 0.3522, + "step": 22103 + }, + { + "epoch": 0.77, + "learning_rate": 2.429551054750624e-05, + "loss": 0.4095, + "step": 22104 + }, + { + "epoch": 0.77, + "learning_rate": 2.4288323024278125e-05, + "loss": 0.3466, + "step": 22105 + }, + { + "epoch": 0.77, + "learning_rate": 2.428113641741371e-05, + "loss": 0.4121, + "step": 22106 + }, + { + "epoch": 0.77, + "learning_rate": 2.427395072699995e-05, + "loss": 0.4268, + "step": 22107 + }, + { + "epoch": 0.77, + "learning_rate": 2.4266765953123814e-05, + "loss": 0.4381, + "step": 22108 + }, + { + "epoch": 0.77, + "learning_rate": 2.425958209587226e-05, + "loss": 0.3716, + "step": 22109 + }, + { + "epoch": 0.77, + "learning_rate": 2.4252399155332218e-05, + "loss": 0.4967, + "step": 22110 + }, + { + "epoch": 0.77, + "learning_rate": 2.424521713159067e-05, + "loss": 0.4699, + "step": 22111 + }, + { + "epoch": 0.77, + "learning_rate": 2.4238036024734523e-05, + "loss": 0.4267, + "step": 22112 + }, + { + "epoch": 0.77, + "learning_rate": 2.4230855834850685e-05, + "loss": 0.4, + "step": 22113 + }, + { + "epoch": 0.77, + "learning_rate": 2.4223676562026067e-05, + "loss": 0.4446, + "step": 22114 + }, + { + "epoch": 0.77, + "learning_rate": 2.4216498206347528e-05, + "loss": 0.4812, + "step": 22115 + }, + { + "epoch": 0.77, + "learning_rate": 2.420932076790201e-05, + "loss": 0.4247, + "step": 22116 + }, + { + "epoch": 0.77, + "learning_rate": 2.4202144246776358e-05, + "loss": 0.4761, + "step": 22117 + }, + { + "epoch": 0.77, + "learning_rate": 2.4194968643057426e-05, + "loss": 0.4254, + "step": 22118 + }, + { + "epoch": 0.77, + "learning_rate": 2.4187793956832073e-05, + "loss": 0.4195, + "step": 22119 + }, + { + "epoch": 0.77, + "learning_rate": 2.4180620188187087e-05, + "loss": 0.4402, + "step": 22120 + }, + { + "epoch": 0.77, + "learning_rate": 2.4173447337209376e-05, + "loss": 0.396, + "step": 22121 + }, + { + "epoch": 0.77, + "learning_rate": 2.4166275403985718e-05, + "loss": 0.486, + "step": 22122 + }, + { + "epoch": 0.77, + "learning_rate": 2.4159104388602905e-05, + "loss": 0.4094, + "step": 22123 + }, + { + "epoch": 0.77, + "learning_rate": 2.415193429114775e-05, + "loss": 0.3709, + "step": 22124 + }, + { + "epoch": 0.77, + "learning_rate": 2.414476511170699e-05, + "loss": 0.4892, + "step": 22125 + }, + { + "epoch": 0.77, + "learning_rate": 2.4137596850367472e-05, + "loss": 0.5367, + "step": 22126 + }, + { + "epoch": 0.77, + "learning_rate": 2.41304295072159e-05, + "loss": 0.4108, + "step": 22127 + }, + { + "epoch": 0.77, + "learning_rate": 2.4123263082339055e-05, + "loss": 0.3904, + "step": 22128 + }, + { + "epoch": 0.77, + "learning_rate": 2.411609757582365e-05, + "loss": 0.4021, + "step": 22129 + }, + { + "epoch": 0.77, + "learning_rate": 2.4108932987756416e-05, + "loss": 0.3623, + "step": 22130 + }, + { + "epoch": 0.77, + "learning_rate": 2.4101769318224043e-05, + "loss": 0.3954, + "step": 22131 + }, + { + "epoch": 0.77, + "learning_rate": 2.4094606567313294e-05, + "loss": 0.3863, + "step": 22132 + }, + { + "epoch": 0.77, + "learning_rate": 2.408744473511083e-05, + "loss": 0.456, + "step": 22133 + }, + { + "epoch": 0.77, + "learning_rate": 2.4080283821703342e-05, + "loss": 0.3682, + "step": 22134 + }, + { + "epoch": 0.77, + "learning_rate": 2.40731238271775e-05, + "loss": 0.4688, + "step": 22135 + }, + { + "epoch": 0.77, + "learning_rate": 2.4065964751619918e-05, + "loss": 0.4985, + "step": 22136 + }, + { + "epoch": 0.77, + "learning_rate": 2.4058806595117323e-05, + "loss": 0.4821, + "step": 22137 + }, + { + "epoch": 0.77, + "learning_rate": 2.40516493577563e-05, + "loss": 0.4676, + "step": 22138 + }, + { + "epoch": 0.77, + "learning_rate": 2.4044493039623504e-05, + "loss": 0.5045, + "step": 22139 + }, + { + "epoch": 0.77, + "learning_rate": 2.4037337640805523e-05, + "loss": 0.3881, + "step": 22140 + }, + { + "epoch": 0.77, + "learning_rate": 2.4030183161388954e-05, + "loss": 0.3749, + "step": 22141 + }, + { + "epoch": 0.77, + "learning_rate": 2.4023029601460447e-05, + "loss": 0.3852, + "step": 22142 + }, + { + "epoch": 0.77, + "learning_rate": 2.4015876961106533e-05, + "loss": 0.3942, + "step": 22143 + }, + { + "epoch": 0.77, + "learning_rate": 2.40087252404138e-05, + "loss": 0.5396, + "step": 22144 + }, + { + "epoch": 0.77, + "learning_rate": 2.400157443946881e-05, + "loss": 0.3807, + "step": 22145 + }, + { + "epoch": 0.77, + "learning_rate": 2.3994424558358075e-05, + "loss": 0.5005, + "step": 22146 + }, + { + "epoch": 0.78, + "learning_rate": 2.398727559716819e-05, + "loss": 0.4683, + "step": 22147 + }, + { + "epoch": 0.78, + "learning_rate": 2.3980127555985655e-05, + "loss": 0.4022, + "step": 22148 + }, + { + "epoch": 0.78, + "learning_rate": 2.3972980434896986e-05, + "loss": 0.4083, + "step": 22149 + }, + { + "epoch": 0.78, + "learning_rate": 2.3965834233988694e-05, + "loss": 0.4935, + "step": 22150 + }, + { + "epoch": 0.78, + "learning_rate": 2.395868895334722e-05, + "loss": 0.386, + "step": 22151 + }, + { + "epoch": 0.78, + "learning_rate": 2.3951544593059127e-05, + "loss": 0.4004, + "step": 22152 + }, + { + "epoch": 0.78, + "learning_rate": 2.394440115321085e-05, + "loss": 0.4662, + "step": 22153 + }, + { + "epoch": 0.78, + "learning_rate": 2.393725863388885e-05, + "loss": 0.4467, + "step": 22154 + }, + { + "epoch": 0.78, + "learning_rate": 2.3930117035179555e-05, + "loss": 0.4044, + "step": 22155 + }, + { + "epoch": 0.78, + "learning_rate": 2.39229763571694e-05, + "loss": 0.458, + "step": 22156 + }, + { + "epoch": 0.78, + "learning_rate": 2.3915836599944862e-05, + "loss": 0.4773, + "step": 22157 + }, + { + "epoch": 0.78, + "learning_rate": 2.3908697763592323e-05, + "loss": 0.4432, + "step": 22158 + }, + { + "epoch": 0.78, + "learning_rate": 2.3901559848198186e-05, + "loss": 0.4166, + "step": 22159 + }, + { + "epoch": 0.78, + "learning_rate": 2.389442285384885e-05, + "loss": 0.3615, + "step": 22160 + }, + { + "epoch": 0.78, + "learning_rate": 2.388728678063068e-05, + "loss": 0.4162, + "step": 22161 + }, + { + "epoch": 0.78, + "learning_rate": 2.3880151628630043e-05, + "loss": 0.4124, + "step": 22162 + }, + { + "epoch": 0.78, + "learning_rate": 2.3873017397933327e-05, + "loss": 0.4135, + "step": 22163 + }, + { + "epoch": 0.78, + "learning_rate": 2.3865884088626878e-05, + "loss": 0.4079, + "step": 22164 + }, + { + "epoch": 0.78, + "learning_rate": 2.385875170079702e-05, + "loss": 0.3887, + "step": 22165 + }, + { + "epoch": 0.78, + "learning_rate": 2.385162023453007e-05, + "loss": 0.4224, + "step": 22166 + }, + { + "epoch": 0.78, + "learning_rate": 2.3844489689912332e-05, + "loss": 0.4329, + "step": 22167 + }, + { + "epoch": 0.78, + "learning_rate": 2.3837360067030156e-05, + "loss": 0.4061, + "step": 22168 + }, + { + "epoch": 0.78, + "learning_rate": 2.3830231365969813e-05, + "loss": 0.5168, + "step": 22169 + }, + { + "epoch": 0.78, + "learning_rate": 2.3823103586817562e-05, + "loss": 0.4133, + "step": 22170 + }, + { + "epoch": 0.78, + "learning_rate": 2.3815976729659705e-05, + "loss": 0.4313, + "step": 22171 + }, + { + "epoch": 0.78, + "learning_rate": 2.380885079458245e-05, + "loss": 0.4136, + "step": 22172 + }, + { + "epoch": 0.78, + "learning_rate": 2.3801725781672112e-05, + "loss": 0.4174, + "step": 22173 + }, + { + "epoch": 0.78, + "learning_rate": 2.3794601691014896e-05, + "loss": 0.4067, + "step": 22174 + }, + { + "epoch": 0.78, + "learning_rate": 2.3787478522697027e-05, + "loss": 0.3292, + "step": 22175 + }, + { + "epoch": 0.78, + "learning_rate": 2.3780356276804705e-05, + "loss": 0.3952, + "step": 22176 + }, + { + "epoch": 0.78, + "learning_rate": 2.377323495342413e-05, + "loss": 0.4986, + "step": 22177 + }, + { + "epoch": 0.78, + "learning_rate": 2.3766114552641572e-05, + "loss": 0.5435, + "step": 22178 + }, + { + "epoch": 0.78, + "learning_rate": 2.375899507454311e-05, + "loss": 0.3396, + "step": 22179 + }, + { + "epoch": 0.78, + "learning_rate": 2.3751876519214954e-05, + "loss": 0.5047, + "step": 22180 + }, + { + "epoch": 0.78, + "learning_rate": 2.3744758886743246e-05, + "loss": 0.4255, + "step": 22181 + }, + { + "epoch": 0.78, + "learning_rate": 2.373764217721416e-05, + "loss": 0.4888, + "step": 22182 + }, + { + "epoch": 0.78, + "learning_rate": 2.3730526390713825e-05, + "loss": 0.4012, + "step": 22183 + }, + { + "epoch": 0.78, + "learning_rate": 2.3723411527328365e-05, + "loss": 0.4043, + "step": 22184 + }, + { + "epoch": 0.78, + "learning_rate": 2.3716297587143886e-05, + "loss": 0.4493, + "step": 22185 + }, + { + "epoch": 0.78, + "learning_rate": 2.370918457024648e-05, + "loss": 0.4301, + "step": 22186 + }, + { + "epoch": 0.78, + "learning_rate": 2.370207247672226e-05, + "loss": 0.5508, + "step": 22187 + }, + { + "epoch": 0.78, + "learning_rate": 2.3694961306657314e-05, + "loss": 0.4464, + "step": 22188 + }, + { + "epoch": 0.78, + "learning_rate": 2.368785106013769e-05, + "loss": 0.5049, + "step": 22189 + }, + { + "epoch": 0.78, + "learning_rate": 2.3680741737249445e-05, + "loss": 0.4949, + "step": 22190 + }, + { + "epoch": 0.78, + "learning_rate": 2.3673633338078605e-05, + "loss": 0.4452, + "step": 22191 + }, + { + "epoch": 0.78, + "learning_rate": 2.3666525862711262e-05, + "loss": 0.5788, + "step": 22192 + }, + { + "epoch": 0.78, + "learning_rate": 2.365941931123341e-05, + "loss": 0.4394, + "step": 22193 + }, + { + "epoch": 0.78, + "learning_rate": 2.3652313683731066e-05, + "loss": 0.4384, + "step": 22194 + }, + { + "epoch": 0.78, + "learning_rate": 2.3645208980290224e-05, + "loss": 0.4009, + "step": 22195 + }, + { + "epoch": 0.78, + "learning_rate": 2.3638105200996887e-05, + "loss": 0.4528, + "step": 22196 + }, + { + "epoch": 0.78, + "learning_rate": 2.363100234593698e-05, + "loss": 0.4748, + "step": 22197 + }, + { + "epoch": 0.78, + "learning_rate": 2.3623900415196553e-05, + "loss": 0.4725, + "step": 22198 + }, + { + "epoch": 0.78, + "learning_rate": 2.3616799408861534e-05, + "loss": 0.5237, + "step": 22199 + }, + { + "epoch": 0.78, + "learning_rate": 2.3609699327017855e-05, + "loss": 0.4634, + "step": 22200 + }, + { + "epoch": 0.78, + "eval_loss": 0.41962045431137085, + "eval_runtime": 854.3091, + "eval_samples_per_second": 28.163, + "eval_steps_per_second": 14.082, + "step": 22200 + }, + { + "epoch": 0.78, + "learning_rate": 2.3602600169751454e-05, + "loss": 0.499, + "step": 22201 + }, + { + "epoch": 0.78, + "learning_rate": 2.3595501937148234e-05, + "loss": 0.5354, + "step": 22202 + }, + { + "epoch": 0.78, + "learning_rate": 2.358840462929416e-05, + "loss": 0.3844, + "step": 22203 + }, + { + "epoch": 0.78, + "learning_rate": 2.3581308246275103e-05, + "loss": 0.4055, + "step": 22204 + }, + { + "epoch": 0.78, + "learning_rate": 2.3574212788176953e-05, + "loss": 0.4829, + "step": 22205 + }, + { + "epoch": 0.78, + "learning_rate": 2.3567118255085584e-05, + "loss": 0.4392, + "step": 22206 + }, + { + "epoch": 0.78, + "learning_rate": 2.3560024647086853e-05, + "loss": 0.4588, + "step": 22207 + }, + { + "epoch": 0.78, + "learning_rate": 2.3552931964266655e-05, + "loss": 0.4606, + "step": 22208 + }, + { + "epoch": 0.78, + "learning_rate": 2.3545840206710812e-05, + "loss": 0.3849, + "step": 22209 + }, + { + "epoch": 0.78, + "learning_rate": 2.3538749374505165e-05, + "loss": 0.408, + "step": 22210 + }, + { + "epoch": 0.78, + "learning_rate": 2.3531659467735522e-05, + "loss": 0.4827, + "step": 22211 + }, + { + "epoch": 0.78, + "learning_rate": 2.3524570486487684e-05, + "loss": 0.3984, + "step": 22212 + }, + { + "epoch": 0.78, + "learning_rate": 2.3517482430847493e-05, + "loss": 0.4443, + "step": 22213 + }, + { + "epoch": 0.78, + "learning_rate": 2.351039530090071e-05, + "loss": 0.4833, + "step": 22214 + }, + { + "epoch": 0.78, + "learning_rate": 2.3503309096733118e-05, + "loss": 0.3936, + "step": 22215 + }, + { + "epoch": 0.78, + "learning_rate": 2.3496223818430495e-05, + "loss": 0.4337, + "step": 22216 + }, + { + "epoch": 0.78, + "learning_rate": 2.3489139466078546e-05, + "loss": 0.4286, + "step": 22217 + }, + { + "epoch": 0.78, + "learning_rate": 2.348205603976309e-05, + "loss": 0.4322, + "step": 22218 + }, + { + "epoch": 0.78, + "learning_rate": 2.347497353956982e-05, + "loss": 0.4182, + "step": 22219 + }, + { + "epoch": 0.78, + "learning_rate": 2.3467891965584466e-05, + "loss": 0.4279, + "step": 22220 + }, + { + "epoch": 0.78, + "learning_rate": 2.346081131789274e-05, + "loss": 0.4837, + "step": 22221 + }, + { + "epoch": 0.78, + "learning_rate": 2.3453731596580297e-05, + "loss": 0.42, + "step": 22222 + }, + { + "epoch": 0.78, + "learning_rate": 2.3446652801732892e-05, + "loss": 0.5234, + "step": 22223 + }, + { + "epoch": 0.78, + "learning_rate": 2.343957493343618e-05, + "loss": 0.3547, + "step": 22224 + }, + { + "epoch": 0.78, + "learning_rate": 2.3432497991775826e-05, + "loss": 0.4437, + "step": 22225 + }, + { + "epoch": 0.78, + "learning_rate": 2.3425421976837482e-05, + "loss": 0.5307, + "step": 22226 + }, + { + "epoch": 0.78, + "learning_rate": 2.3418346888706756e-05, + "loss": 0.4008, + "step": 22227 + }, + { + "epoch": 0.78, + "learning_rate": 2.3411272727469335e-05, + "loss": 0.4463, + "step": 22228 + }, + { + "epoch": 0.78, + "learning_rate": 2.340419949321083e-05, + "loss": 0.4336, + "step": 22229 + }, + { + "epoch": 0.78, + "learning_rate": 2.339712718601683e-05, + "loss": 0.4214, + "step": 22230 + }, + { + "epoch": 0.78, + "learning_rate": 2.3390055805972956e-05, + "loss": 0.4351, + "step": 22231 + }, + { + "epoch": 0.78, + "learning_rate": 2.338298535316478e-05, + "loss": 0.3954, + "step": 22232 + }, + { + "epoch": 0.78, + "learning_rate": 2.337591582767784e-05, + "loss": 0.3942, + "step": 22233 + }, + { + "epoch": 0.78, + "learning_rate": 2.3368847229597778e-05, + "loss": 0.4393, + "step": 22234 + }, + { + "epoch": 0.78, + "learning_rate": 2.336177955901011e-05, + "loss": 0.4501, + "step": 22235 + }, + { + "epoch": 0.78, + "learning_rate": 2.335471281600037e-05, + "loss": 0.4167, + "step": 22236 + }, + { + "epoch": 0.78, + "learning_rate": 2.3347647000654104e-05, + "loss": 0.461, + "step": 22237 + }, + { + "epoch": 0.78, + "learning_rate": 2.3340582113056807e-05, + "loss": 0.4093, + "step": 22238 + }, + { + "epoch": 0.78, + "learning_rate": 2.333351815329402e-05, + "loss": 0.4151, + "step": 22239 + }, + { + "epoch": 0.78, + "learning_rate": 2.332645512145124e-05, + "loss": 0.4234, + "step": 22240 + }, + { + "epoch": 0.78, + "learning_rate": 2.331939301761393e-05, + "loss": 0.4148, + "step": 22241 + }, + { + "epoch": 0.78, + "learning_rate": 2.3312331841867586e-05, + "loss": 0.4139, + "step": 22242 + }, + { + "epoch": 0.78, + "learning_rate": 2.3305271594297627e-05, + "loss": 0.4019, + "step": 22243 + }, + { + "epoch": 0.78, + "learning_rate": 2.329821227498956e-05, + "loss": 0.4504, + "step": 22244 + }, + { + "epoch": 0.78, + "learning_rate": 2.3291153884028815e-05, + "loss": 0.4142, + "step": 22245 + }, + { + "epoch": 0.78, + "learning_rate": 2.3284096421500822e-05, + "loss": 0.4376, + "step": 22246 + }, + { + "epoch": 0.78, + "learning_rate": 2.3277039887490982e-05, + "loss": 0.4707, + "step": 22247 + }, + { + "epoch": 0.78, + "learning_rate": 2.3269984282084677e-05, + "loss": 0.4469, + "step": 22248 + }, + { + "epoch": 0.78, + "learning_rate": 2.326292960536738e-05, + "loss": 0.399, + "step": 22249 + }, + { + "epoch": 0.78, + "learning_rate": 2.3255875857424416e-05, + "loss": 0.3353, + "step": 22250 + }, + { + "epoch": 0.78, + "learning_rate": 2.3248823038341193e-05, + "loss": 0.4629, + "step": 22251 + }, + { + "epoch": 0.78, + "learning_rate": 2.324177114820305e-05, + "loss": 0.5102, + "step": 22252 + }, + { + "epoch": 0.78, + "learning_rate": 2.3234720187095315e-05, + "loss": 0.4105, + "step": 22253 + }, + { + "epoch": 0.78, + "learning_rate": 2.3227670155103387e-05, + "loss": 0.4109, + "step": 22254 + }, + { + "epoch": 0.78, + "learning_rate": 2.3220621052312575e-05, + "loss": 0.5209, + "step": 22255 + }, + { + "epoch": 0.78, + "learning_rate": 2.3213572878808186e-05, + "loss": 0.3655, + "step": 22256 + }, + { + "epoch": 0.78, + "learning_rate": 2.3206525634675523e-05, + "loss": 0.4279, + "step": 22257 + }, + { + "epoch": 0.78, + "learning_rate": 2.3199479319999862e-05, + "loss": 0.3569, + "step": 22258 + }, + { + "epoch": 0.78, + "learning_rate": 2.3192433934866542e-05, + "loss": 0.5243, + "step": 22259 + }, + { + "epoch": 0.78, + "learning_rate": 2.3185389479360807e-05, + "loss": 0.3896, + "step": 22260 + }, + { + "epoch": 0.78, + "learning_rate": 2.3178345953567914e-05, + "loss": 0.4094, + "step": 22261 + }, + { + "epoch": 0.78, + "learning_rate": 2.3171303357573117e-05, + "loss": 0.396, + "step": 22262 + }, + { + "epoch": 0.78, + "learning_rate": 2.3164261691461653e-05, + "loss": 0.3652, + "step": 22263 + }, + { + "epoch": 0.78, + "learning_rate": 2.3157220955318727e-05, + "loss": 0.4656, + "step": 22264 + }, + { + "epoch": 0.78, + "learning_rate": 2.31501811492296e-05, + "loss": 0.4026, + "step": 22265 + }, + { + "epoch": 0.78, + "learning_rate": 2.314314227327946e-05, + "loss": 0.4636, + "step": 22266 + }, + { + "epoch": 0.78, + "learning_rate": 2.3136104327553497e-05, + "loss": 0.4531, + "step": 22267 + }, + { + "epoch": 0.78, + "learning_rate": 2.3129067312136887e-05, + "loss": 0.3622, + "step": 22268 + }, + { + "epoch": 0.78, + "learning_rate": 2.3122031227114793e-05, + "loss": 0.4342, + "step": 22269 + }, + { + "epoch": 0.78, + "learning_rate": 2.3114996072572404e-05, + "loss": 0.4354, + "step": 22270 + }, + { + "epoch": 0.78, + "learning_rate": 2.3107961848594862e-05, + "loss": 0.3673, + "step": 22271 + }, + { + "epoch": 0.78, + "learning_rate": 2.31009285552673e-05, + "loss": 0.4199, + "step": 22272 + }, + { + "epoch": 0.78, + "learning_rate": 2.3093896192674837e-05, + "loss": 0.419, + "step": 22273 + }, + { + "epoch": 0.78, + "learning_rate": 2.308686476090257e-05, + "loss": 0.436, + "step": 22274 + }, + { + "epoch": 0.78, + "learning_rate": 2.3079834260035647e-05, + "loss": 0.3701, + "step": 22275 + }, + { + "epoch": 0.78, + "learning_rate": 2.3072804690159143e-05, + "loss": 0.4096, + "step": 22276 + }, + { + "epoch": 0.78, + "learning_rate": 2.3065776051358135e-05, + "loss": 0.3866, + "step": 22277 + }, + { + "epoch": 0.78, + "learning_rate": 2.3058748343717694e-05, + "loss": 0.4411, + "step": 22278 + }, + { + "epoch": 0.78, + "learning_rate": 2.3051721567322846e-05, + "loss": 0.4037, + "step": 22279 + }, + { + "epoch": 0.78, + "learning_rate": 2.3044695722258702e-05, + "loss": 0.5081, + "step": 22280 + }, + { + "epoch": 0.78, + "learning_rate": 2.3037670808610258e-05, + "loss": 0.3629, + "step": 22281 + }, + { + "epoch": 0.78, + "learning_rate": 2.3030646826462554e-05, + "loss": 0.437, + "step": 22282 + }, + { + "epoch": 0.78, + "learning_rate": 2.3023623775900605e-05, + "loss": 0.4246, + "step": 22283 + }, + { + "epoch": 0.78, + "learning_rate": 2.301660165700936e-05, + "loss": 0.4197, + "step": 22284 + }, + { + "epoch": 0.78, + "learning_rate": 2.300958046987389e-05, + "loss": 0.3846, + "step": 22285 + }, + { + "epoch": 0.78, + "learning_rate": 2.300256021457915e-05, + "loss": 0.4265, + "step": 22286 + }, + { + "epoch": 0.78, + "learning_rate": 2.299554089121009e-05, + "loss": 0.4511, + "step": 22287 + }, + { + "epoch": 0.78, + "learning_rate": 2.298852249985167e-05, + "loss": 0.407, + "step": 22288 + }, + { + "epoch": 0.78, + "learning_rate": 2.2981505040588823e-05, + "loss": 0.4702, + "step": 22289 + }, + { + "epoch": 0.78, + "learning_rate": 2.297448851350653e-05, + "loss": 0.4683, + "step": 22290 + }, + { + "epoch": 0.78, + "learning_rate": 2.296747291868968e-05, + "loss": 0.4268, + "step": 22291 + }, + { + "epoch": 0.78, + "learning_rate": 2.2960458256223204e-05, + "loss": 0.5102, + "step": 22292 + }, + { + "epoch": 0.78, + "learning_rate": 2.295344452619198e-05, + "loss": 0.3682, + "step": 22293 + }, + { + "epoch": 0.78, + "learning_rate": 2.2946431728680885e-05, + "loss": 0.4128, + "step": 22294 + }, + { + "epoch": 0.78, + "learning_rate": 2.2939419863774846e-05, + "loss": 0.4513, + "step": 22295 + }, + { + "epoch": 0.78, + "learning_rate": 2.2932408931558703e-05, + "loss": 0.5332, + "step": 22296 + }, + { + "epoch": 0.78, + "learning_rate": 2.2925398932117316e-05, + "loss": 0.4267, + "step": 22297 + }, + { + "epoch": 0.78, + "learning_rate": 2.2918389865535515e-05, + "loss": 0.5086, + "step": 22298 + }, + { + "epoch": 0.78, + "learning_rate": 2.291138173189816e-05, + "loss": 0.3898, + "step": 22299 + }, + { + "epoch": 0.78, + "learning_rate": 2.2904374531290018e-05, + "loss": 0.4645, + "step": 22300 + }, + { + "epoch": 0.78, + "learning_rate": 2.289736826379597e-05, + "loss": 0.4968, + "step": 22301 + }, + { + "epoch": 0.78, + "learning_rate": 2.2890362929500786e-05, + "loss": 0.4365, + "step": 22302 + }, + { + "epoch": 0.78, + "learning_rate": 2.288335852848925e-05, + "loss": 0.4039, + "step": 22303 + }, + { + "epoch": 0.78, + "learning_rate": 2.2876355060846144e-05, + "loss": 0.4539, + "step": 22304 + }, + { + "epoch": 0.78, + "learning_rate": 2.2869352526656196e-05, + "loss": 0.5118, + "step": 22305 + }, + { + "epoch": 0.78, + "learning_rate": 2.2862350926004227e-05, + "loss": 0.3915, + "step": 22306 + }, + { + "epoch": 0.78, + "learning_rate": 2.285535025897495e-05, + "loss": 0.4335, + "step": 22307 + }, + { + "epoch": 0.78, + "learning_rate": 2.2848350525653085e-05, + "loss": 0.4084, + "step": 22308 + }, + { + "epoch": 0.78, + "learning_rate": 2.2841351726123362e-05, + "loss": 0.4034, + "step": 22309 + }, + { + "epoch": 0.78, + "learning_rate": 2.283435386047046e-05, + "loss": 0.4257, + "step": 22310 + }, + { + "epoch": 0.78, + "learning_rate": 2.282735692877912e-05, + "loss": 0.3951, + "step": 22311 + }, + { + "epoch": 0.78, + "learning_rate": 2.2820360931134032e-05, + "loss": 0.4541, + "step": 22312 + }, + { + "epoch": 0.78, + "learning_rate": 2.281336586761986e-05, + "loss": 0.3949, + "step": 22313 + }, + { + "epoch": 0.78, + "learning_rate": 2.2806371738321218e-05, + "loss": 0.47, + "step": 22314 + }, + { + "epoch": 0.78, + "learning_rate": 2.2799378543322823e-05, + "loss": 0.3951, + "step": 22315 + }, + { + "epoch": 0.78, + "learning_rate": 2.2792386282709288e-05, + "loss": 0.4419, + "step": 22316 + }, + { + "epoch": 0.78, + "learning_rate": 2.2785394956565255e-05, + "loss": 0.4049, + "step": 22317 + }, + { + "epoch": 0.78, + "learning_rate": 2.277840456497533e-05, + "loss": 0.4289, + "step": 22318 + }, + { + "epoch": 0.78, + "learning_rate": 2.2771415108024085e-05, + "loss": 0.3592, + "step": 22319 + }, + { + "epoch": 0.78, + "learning_rate": 2.2764426585796195e-05, + "loss": 0.3941, + "step": 22320 + }, + { + "epoch": 0.78, + "learning_rate": 2.27574389983762e-05, + "loss": 0.425, + "step": 22321 + }, + { + "epoch": 0.78, + "learning_rate": 2.2750452345848682e-05, + "loss": 0.4108, + "step": 22322 + }, + { + "epoch": 0.78, + "learning_rate": 2.2743466628298195e-05, + "loss": 0.4866, + "step": 22323 + }, + { + "epoch": 0.78, + "learning_rate": 2.2736481845809265e-05, + "loss": 0.449, + "step": 22324 + }, + { + "epoch": 0.78, + "learning_rate": 2.272949799846649e-05, + "loss": 0.376, + "step": 22325 + }, + { + "epoch": 0.78, + "learning_rate": 2.2722515086354358e-05, + "loss": 0.5186, + "step": 22326 + }, + { + "epoch": 0.78, + "learning_rate": 2.2715533109557406e-05, + "loss": 0.3937, + "step": 22327 + }, + { + "epoch": 0.78, + "learning_rate": 2.2708552068160115e-05, + "loss": 0.4248, + "step": 22328 + }, + { + "epoch": 0.78, + "learning_rate": 2.270157196224697e-05, + "loss": 0.4795, + "step": 22329 + }, + { + "epoch": 0.78, + "learning_rate": 2.2694592791902503e-05, + "loss": 0.4718, + "step": 22330 + }, + { + "epoch": 0.78, + "learning_rate": 2.2687614557211156e-05, + "loss": 0.4822, + "step": 22331 + }, + { + "epoch": 0.78, + "learning_rate": 2.2680637258257387e-05, + "loss": 0.3718, + "step": 22332 + }, + { + "epoch": 0.78, + "learning_rate": 2.267366089512565e-05, + "loss": 0.456, + "step": 22333 + }, + { + "epoch": 0.78, + "learning_rate": 2.2666685467900383e-05, + "loss": 0.4299, + "step": 22334 + }, + { + "epoch": 0.78, + "learning_rate": 2.265971097666597e-05, + "loss": 0.5339, + "step": 22335 + }, + { + "epoch": 0.78, + "learning_rate": 2.2652737421506897e-05, + "loss": 0.4481, + "step": 22336 + }, + { + "epoch": 0.78, + "learning_rate": 2.264576480250754e-05, + "loss": 0.4205, + "step": 22337 + }, + { + "epoch": 0.78, + "learning_rate": 2.263879311975229e-05, + "loss": 0.4669, + "step": 22338 + }, + { + "epoch": 0.78, + "learning_rate": 2.2631822373325505e-05, + "loss": 0.424, + "step": 22339 + }, + { + "epoch": 0.78, + "learning_rate": 2.262485256331156e-05, + "loss": 0.4077, + "step": 22340 + }, + { + "epoch": 0.78, + "learning_rate": 2.261788368979485e-05, + "loss": 0.4191, + "step": 22341 + }, + { + "epoch": 0.78, + "learning_rate": 2.2610915752859684e-05, + "loss": 0.4427, + "step": 22342 + }, + { + "epoch": 0.78, + "learning_rate": 2.260394875259042e-05, + "loss": 0.3855, + "step": 22343 + }, + { + "epoch": 0.78, + "learning_rate": 2.2596982689071377e-05, + "loss": 0.4304, + "step": 22344 + }, + { + "epoch": 0.78, + "learning_rate": 2.2590017562386833e-05, + "loss": 0.3848, + "step": 22345 + }, + { + "epoch": 0.78, + "learning_rate": 2.2583053372621142e-05, + "loss": 0.4706, + "step": 22346 + }, + { + "epoch": 0.78, + "learning_rate": 2.2576090119858572e-05, + "loss": 0.4204, + "step": 22347 + }, + { + "epoch": 0.78, + "learning_rate": 2.2569127804183398e-05, + "loss": 0.4155, + "step": 22348 + }, + { + "epoch": 0.78, + "learning_rate": 2.2562166425679886e-05, + "loss": 0.4229, + "step": 22349 + }, + { + "epoch": 0.78, + "learning_rate": 2.255520598443228e-05, + "loss": 0.4543, + "step": 22350 + }, + { + "epoch": 0.78, + "learning_rate": 2.254824648052486e-05, + "loss": 0.4774, + "step": 22351 + }, + { + "epoch": 0.78, + "learning_rate": 2.254128791404184e-05, + "loss": 0.4971, + "step": 22352 + }, + { + "epoch": 0.78, + "learning_rate": 2.2534330285067438e-05, + "loss": 0.386, + "step": 22353 + }, + { + "epoch": 0.78, + "learning_rate": 2.2527373593685874e-05, + "loss": 0.4037, + "step": 22354 + }, + { + "epoch": 0.78, + "learning_rate": 2.2520417839981312e-05, + "loss": 0.4759, + "step": 22355 + }, + { + "epoch": 0.78, + "learning_rate": 2.2513463024037985e-05, + "loss": 0.389, + "step": 22356 + }, + { + "epoch": 0.78, + "learning_rate": 2.250650914594007e-05, + "loss": 0.4549, + "step": 22357 + }, + { + "epoch": 0.78, + "learning_rate": 2.24995562057717e-05, + "loss": 0.5069, + "step": 22358 + }, + { + "epoch": 0.78, + "learning_rate": 2.249260420361705e-05, + "loss": 0.4006, + "step": 22359 + }, + { + "epoch": 0.78, + "learning_rate": 2.2485653139560227e-05, + "loss": 0.4277, + "step": 22360 + }, + { + "epoch": 0.78, + "learning_rate": 2.247870301368542e-05, + "loss": 0.4188, + "step": 22361 + }, + { + "epoch": 0.78, + "learning_rate": 2.2471753826076724e-05, + "loss": 0.4061, + "step": 22362 + }, + { + "epoch": 0.78, + "learning_rate": 2.246480557681824e-05, + "loss": 0.3873, + "step": 22363 + }, + { + "epoch": 0.78, + "learning_rate": 2.245785826599407e-05, + "loss": 0.4402, + "step": 22364 + }, + { + "epoch": 0.78, + "learning_rate": 2.2450911893688297e-05, + "loss": 0.4898, + "step": 22365 + }, + { + "epoch": 0.78, + "learning_rate": 2.2443966459984966e-05, + "loss": 0.4342, + "step": 22366 + }, + { + "epoch": 0.78, + "learning_rate": 2.2437021964968197e-05, + "loss": 0.4052, + "step": 22367 + }, + { + "epoch": 0.78, + "learning_rate": 2.243007840872202e-05, + "loss": 0.3787, + "step": 22368 + }, + { + "epoch": 0.78, + "learning_rate": 2.2423135791330463e-05, + "loss": 0.3909, + "step": 22369 + }, + { + "epoch": 0.78, + "learning_rate": 2.2416194112877563e-05, + "loss": 0.4373, + "step": 22370 + }, + { + "epoch": 0.78, + "learning_rate": 2.2409253373447313e-05, + "loss": 0.4499, + "step": 22371 + }, + { + "epoch": 0.78, + "learning_rate": 2.240231357312377e-05, + "loss": 0.378, + "step": 22372 + }, + { + "epoch": 0.78, + "learning_rate": 2.2395374711990892e-05, + "loss": 0.4356, + "step": 22373 + }, + { + "epoch": 0.78, + "learning_rate": 2.238843679013267e-05, + "loss": 0.3592, + "step": 22374 + }, + { + "epoch": 0.78, + "learning_rate": 2.2381499807633087e-05, + "loss": 0.3894, + "step": 22375 + }, + { + "epoch": 0.78, + "learning_rate": 2.237456376457606e-05, + "loss": 0.4623, + "step": 22376 + }, + { + "epoch": 0.78, + "learning_rate": 2.2367628661045602e-05, + "loss": 0.4108, + "step": 22377 + }, + { + "epoch": 0.78, + "learning_rate": 2.2360694497125623e-05, + "loss": 0.4088, + "step": 22378 + }, + { + "epoch": 0.78, + "learning_rate": 2.2353761272900052e-05, + "loss": 0.4932, + "step": 22379 + }, + { + "epoch": 0.78, + "learning_rate": 2.2346828988452796e-05, + "loss": 0.4093, + "step": 22380 + }, + { + "epoch": 0.78, + "learning_rate": 2.2339897643867725e-05, + "loss": 0.3873, + "step": 22381 + }, + { + "epoch": 0.78, + "learning_rate": 2.2332967239228807e-05, + "loss": 0.5007, + "step": 22382 + }, + { + "epoch": 0.78, + "learning_rate": 2.2326037774619878e-05, + "loss": 0.4356, + "step": 22383 + }, + { + "epoch": 0.78, + "learning_rate": 2.2319109250124813e-05, + "loss": 0.5157, + "step": 22384 + }, + { + "epoch": 0.78, + "learning_rate": 2.231218166582748e-05, + "loss": 0.4044, + "step": 22385 + }, + { + "epoch": 0.78, + "learning_rate": 2.2305255021811676e-05, + "loss": 0.4692, + "step": 22386 + }, + { + "epoch": 0.78, + "learning_rate": 2.2298329318161315e-05, + "loss": 0.4475, + "step": 22387 + }, + { + "epoch": 0.78, + "learning_rate": 2.2291404554960184e-05, + "loss": 0.4288, + "step": 22388 + }, + { + "epoch": 0.78, + "learning_rate": 2.22844807322921e-05, + "loss": 0.4407, + "step": 22389 + }, + { + "epoch": 0.78, + "learning_rate": 2.2277557850240848e-05, + "loss": 0.4429, + "step": 22390 + }, + { + "epoch": 0.78, + "learning_rate": 2.2270635908890214e-05, + "loss": 0.3914, + "step": 22391 + }, + { + "epoch": 0.78, + "learning_rate": 2.2263714908324017e-05, + "loss": 0.512, + "step": 22392 + }, + { + "epoch": 0.78, + "learning_rate": 2.2256794848625996e-05, + "loss": 0.427, + "step": 22393 + }, + { + "epoch": 0.78, + "learning_rate": 2.224987572987991e-05, + "loss": 0.5323, + "step": 22394 + }, + { + "epoch": 0.78, + "learning_rate": 2.224295755216951e-05, + "loss": 0.4876, + "step": 22395 + }, + { + "epoch": 0.78, + "learning_rate": 2.2236040315578487e-05, + "loss": 0.4121, + "step": 22396 + }, + { + "epoch": 0.78, + "learning_rate": 2.222912402019063e-05, + "loss": 0.443, + "step": 22397 + }, + { + "epoch": 0.78, + "learning_rate": 2.2222208666089617e-05, + "loss": 0.3308, + "step": 22398 + }, + { + "epoch": 0.78, + "learning_rate": 2.2215294253359143e-05, + "loss": 0.3775, + "step": 22399 + }, + { + "epoch": 0.78, + "learning_rate": 2.2208380782082906e-05, + "loss": 0.3925, + "step": 22400 + }, + { + "epoch": 0.78, + "eval_loss": 0.41787704825401306, + "eval_runtime": 846.078, + "eval_samples_per_second": 28.437, + "eval_steps_per_second": 14.219, + "step": 22400 + }, + { + "epoch": 0.78, + "learning_rate": 2.2201468252344583e-05, + "loss": 0.4442, + "step": 22401 + }, + { + "epoch": 0.78, + "learning_rate": 2.2194556664227793e-05, + "loss": 0.4474, + "step": 22402 + }, + { + "epoch": 0.78, + "learning_rate": 2.2187646017816254e-05, + "loss": 0.5167, + "step": 22403 + }, + { + "epoch": 0.78, + "learning_rate": 2.2180736313193584e-05, + "loss": 0.3826, + "step": 22404 + }, + { + "epoch": 0.78, + "learning_rate": 2.2173827550443417e-05, + "loss": 0.4519, + "step": 22405 + }, + { + "epoch": 0.78, + "learning_rate": 2.216691972964936e-05, + "loss": 0.5189, + "step": 22406 + }, + { + "epoch": 0.78, + "learning_rate": 2.2160012850895008e-05, + "loss": 0.4629, + "step": 22407 + }, + { + "epoch": 0.78, + "learning_rate": 2.2153106914263998e-05, + "loss": 0.4608, + "step": 22408 + }, + { + "epoch": 0.78, + "learning_rate": 2.2146201919839892e-05, + "loss": 0.4911, + "step": 22409 + }, + { + "epoch": 0.78, + "learning_rate": 2.2139297867706265e-05, + "loss": 0.4332, + "step": 22410 + }, + { + "epoch": 0.78, + "learning_rate": 2.2132394757946672e-05, + "loss": 0.4254, + "step": 22411 + }, + { + "epoch": 0.78, + "learning_rate": 2.2125492590644658e-05, + "loss": 0.4626, + "step": 22412 + }, + { + "epoch": 0.78, + "learning_rate": 2.211859136588379e-05, + "loss": 0.4034, + "step": 22413 + }, + { + "epoch": 0.78, + "learning_rate": 2.2111691083747587e-05, + "loss": 0.421, + "step": 22414 + }, + { + "epoch": 0.78, + "learning_rate": 2.2104791744319554e-05, + "loss": 0.5044, + "step": 22415 + }, + { + "epoch": 0.78, + "learning_rate": 2.2097893347683198e-05, + "loss": 0.4154, + "step": 22416 + }, + { + "epoch": 0.78, + "learning_rate": 2.2090995893921996e-05, + "loss": 0.4324, + "step": 22417 + }, + { + "epoch": 0.78, + "learning_rate": 2.208409938311947e-05, + "loss": 0.4472, + "step": 22418 + }, + { + "epoch": 0.78, + "learning_rate": 2.2077203815359073e-05, + "loss": 0.3626, + "step": 22419 + }, + { + "epoch": 0.78, + "learning_rate": 2.207030919072426e-05, + "loss": 0.42, + "step": 22420 + }, + { + "epoch": 0.78, + "learning_rate": 2.206341550929849e-05, + "loss": 0.4229, + "step": 22421 + }, + { + "epoch": 0.78, + "learning_rate": 2.2056522771165156e-05, + "loss": 0.3854, + "step": 22422 + }, + { + "epoch": 0.78, + "learning_rate": 2.204963097640774e-05, + "loss": 0.4081, + "step": 22423 + }, + { + "epoch": 0.78, + "learning_rate": 2.204274012510964e-05, + "loss": 0.4157, + "step": 22424 + }, + { + "epoch": 0.78, + "learning_rate": 2.2035850217354238e-05, + "loss": 0.5074, + "step": 22425 + }, + { + "epoch": 0.78, + "learning_rate": 2.2028961253224957e-05, + "loss": 0.4348, + "step": 22426 + }, + { + "epoch": 0.78, + "learning_rate": 2.2022073232805118e-05, + "loss": 0.4597, + "step": 22427 + }, + { + "epoch": 0.78, + "learning_rate": 2.2015186156178158e-05, + "loss": 0.3788, + "step": 22428 + }, + { + "epoch": 0.78, + "learning_rate": 2.2008300023427397e-05, + "loss": 0.3502, + "step": 22429 + }, + { + "epoch": 0.78, + "learning_rate": 2.2001414834636204e-05, + "loss": 0.4456, + "step": 22430 + }, + { + "epoch": 0.78, + "learning_rate": 2.1994530589887886e-05, + "loss": 0.4221, + "step": 22431 + }, + { + "epoch": 0.78, + "learning_rate": 2.1987647289265768e-05, + "loss": 0.5028, + "step": 22432 + }, + { + "epoch": 0.79, + "learning_rate": 2.198076493285315e-05, + "loss": 0.3418, + "step": 22433 + }, + { + "epoch": 0.79, + "learning_rate": 2.1973883520733372e-05, + "loss": 0.4208, + "step": 22434 + }, + { + "epoch": 0.79, + "learning_rate": 2.196700305298971e-05, + "loss": 0.4948, + "step": 22435 + }, + { + "epoch": 0.79, + "learning_rate": 2.1960123529705423e-05, + "loss": 0.4194, + "step": 22436 + }, + { + "epoch": 0.79, + "learning_rate": 2.195324495096378e-05, + "loss": 0.4587, + "step": 22437 + }, + { + "epoch": 0.79, + "learning_rate": 2.1946367316848016e-05, + "loss": 0.4601, + "step": 22438 + }, + { + "epoch": 0.79, + "learning_rate": 2.1939490627441416e-05, + "loss": 0.3776, + "step": 22439 + }, + { + "epoch": 0.79, + "learning_rate": 2.1932614882827197e-05, + "loss": 0.4632, + "step": 22440 + }, + { + "epoch": 0.79, + "learning_rate": 2.1925740083088564e-05, + "loss": 0.369, + "step": 22441 + }, + { + "epoch": 0.79, + "learning_rate": 2.1918866228308744e-05, + "loss": 0.4532, + "step": 22442 + }, + { + "epoch": 0.79, + "learning_rate": 2.1911993318570888e-05, + "loss": 0.5223, + "step": 22443 + }, + { + "epoch": 0.79, + "learning_rate": 2.1905121353958235e-05, + "loss": 0.437, + "step": 22444 + }, + { + "epoch": 0.79, + "learning_rate": 2.1898250334553948e-05, + "loss": 0.3655, + "step": 22445 + }, + { + "epoch": 0.79, + "learning_rate": 2.1891380260441185e-05, + "loss": 0.3594, + "step": 22446 + }, + { + "epoch": 0.79, + "learning_rate": 2.188451113170309e-05, + "loss": 0.5024, + "step": 22447 + }, + { + "epoch": 0.79, + "learning_rate": 2.1877642948422795e-05, + "loss": 0.3749, + "step": 22448 + }, + { + "epoch": 0.79, + "learning_rate": 2.1870775710683444e-05, + "loss": 0.4532, + "step": 22449 + }, + { + "epoch": 0.79, + "learning_rate": 2.186390941856815e-05, + "loss": 0.5046, + "step": 22450 + }, + { + "epoch": 0.79, + "learning_rate": 2.1857044072160005e-05, + "loss": 0.4619, + "step": 22451 + }, + { + "epoch": 0.79, + "learning_rate": 2.1850179671542092e-05, + "loss": 0.3687, + "step": 22452 + }, + { + "epoch": 0.79, + "learning_rate": 2.184331621679754e-05, + "loss": 0.3934, + "step": 22453 + }, + { + "epoch": 0.79, + "learning_rate": 2.1836453708009397e-05, + "loss": 0.4007, + "step": 22454 + }, + { + "epoch": 0.79, + "learning_rate": 2.1829592145260712e-05, + "loss": 0.3468, + "step": 22455 + }, + { + "epoch": 0.79, + "learning_rate": 2.1822731528634545e-05, + "loss": 0.3922, + "step": 22456 + }, + { + "epoch": 0.79, + "learning_rate": 2.1815871858213887e-05, + "loss": 0.3766, + "step": 22457 + }, + { + "epoch": 0.79, + "learning_rate": 2.1809013134081846e-05, + "loss": 0.4873, + "step": 22458 + }, + { + "epoch": 0.79, + "learning_rate": 2.1802155356321373e-05, + "loss": 0.3926, + "step": 22459 + }, + { + "epoch": 0.79, + "learning_rate": 2.1795298525015506e-05, + "loss": 0.4071, + "step": 22460 + }, + { + "epoch": 0.79, + "learning_rate": 2.178844264024721e-05, + "loss": 0.3686, + "step": 22461 + }, + { + "epoch": 0.79, + "learning_rate": 2.178158770209945e-05, + "loss": 0.4554, + "step": 22462 + }, + { + "epoch": 0.79, + "learning_rate": 2.177473371065524e-05, + "loss": 0.4888, + "step": 22463 + }, + { + "epoch": 0.79, + "learning_rate": 2.1767880665997508e-05, + "loss": 0.482, + "step": 22464 + }, + { + "epoch": 0.79, + "learning_rate": 2.1761028568209207e-05, + "loss": 0.4363, + "step": 22465 + }, + { + "epoch": 0.79, + "learning_rate": 2.175417741737327e-05, + "loss": 0.3961, + "step": 22466 + }, + { + "epoch": 0.79, + "learning_rate": 2.174732721357261e-05, + "loss": 0.4572, + "step": 22467 + }, + { + "epoch": 0.79, + "learning_rate": 2.1740477956890115e-05, + "loss": 0.4578, + "step": 22468 + }, + { + "epoch": 0.79, + "learning_rate": 2.1733629647408736e-05, + "loss": 0.4062, + "step": 22469 + }, + { + "epoch": 0.79, + "learning_rate": 2.1726782285211346e-05, + "loss": 0.457, + "step": 22470 + }, + { + "epoch": 0.79, + "learning_rate": 2.17199358703808e-05, + "loss": 0.5065, + "step": 22471 + }, + { + "epoch": 0.79, + "learning_rate": 2.171309040299998e-05, + "loss": 0.4255, + "step": 22472 + }, + { + "epoch": 0.79, + "learning_rate": 2.1706245883151698e-05, + "loss": 0.3735, + "step": 22473 + }, + { + "epoch": 0.79, + "learning_rate": 2.169940231091886e-05, + "loss": 0.4642, + "step": 22474 + }, + { + "epoch": 0.79, + "learning_rate": 2.1692559686384263e-05, + "loss": 0.373, + "step": 22475 + }, + { + "epoch": 0.79, + "learning_rate": 2.1685718009630728e-05, + "loss": 0.4291, + "step": 22476 + }, + { + "epoch": 0.79, + "learning_rate": 2.167887728074106e-05, + "loss": 0.4296, + "step": 22477 + }, + { + "epoch": 0.79, + "learning_rate": 2.1672037499798024e-05, + "loss": 0.4461, + "step": 22478 + }, + { + "epoch": 0.79, + "learning_rate": 2.1665198666884477e-05, + "loss": 0.3867, + "step": 22479 + }, + { + "epoch": 0.79, + "learning_rate": 2.165836078208314e-05, + "loss": 0.4336, + "step": 22480 + }, + { + "epoch": 0.79, + "learning_rate": 2.1651523845476796e-05, + "loss": 0.3939, + "step": 22481 + }, + { + "epoch": 0.79, + "learning_rate": 2.164468785714817e-05, + "loss": 0.4019, + "step": 22482 + }, + { + "epoch": 0.79, + "learning_rate": 2.1637852817180003e-05, + "loss": 0.3935, + "step": 22483 + }, + { + "epoch": 0.79, + "learning_rate": 2.163101872565505e-05, + "loss": 0.433, + "step": 22484 + }, + { + "epoch": 0.79, + "learning_rate": 2.162418558265602e-05, + "loss": 0.4331, + "step": 22485 + }, + { + "epoch": 0.79, + "learning_rate": 2.1617353388265594e-05, + "loss": 0.4636, + "step": 22486 + }, + { + "epoch": 0.79, + "learning_rate": 2.161052214256648e-05, + "loss": 0.4905, + "step": 22487 + }, + { + "epoch": 0.79, + "learning_rate": 2.1603691845641326e-05, + "loss": 0.4467, + "step": 22488 + }, + { + "epoch": 0.79, + "learning_rate": 2.159686249757287e-05, + "loss": 0.4278, + "step": 22489 + }, + { + "epoch": 0.79, + "learning_rate": 2.1590034098443722e-05, + "loss": 0.4304, + "step": 22490 + }, + { + "epoch": 0.79, + "learning_rate": 2.158320664833654e-05, + "loss": 0.3458, + "step": 22491 + }, + { + "epoch": 0.79, + "learning_rate": 2.1576380147333952e-05, + "loss": 0.4225, + "step": 22492 + }, + { + "epoch": 0.79, + "learning_rate": 2.156955459551856e-05, + "loss": 0.4727, + "step": 22493 + }, + { + "epoch": 0.79, + "learning_rate": 2.156272999297303e-05, + "loss": 0.4163, + "step": 22494 + }, + { + "epoch": 0.79, + "learning_rate": 2.155590633977993e-05, + "loss": 0.4297, + "step": 22495 + }, + { + "epoch": 0.79, + "learning_rate": 2.1549083636021848e-05, + "loss": 0.388, + "step": 22496 + }, + { + "epoch": 0.79, + "learning_rate": 2.1542261881781378e-05, + "loss": 0.4405, + "step": 22497 + }, + { + "epoch": 0.79, + "learning_rate": 2.1535441077141048e-05, + "loss": 0.4409, + "step": 22498 + }, + { + "epoch": 0.79, + "learning_rate": 2.1528621222183454e-05, + "loss": 0.3936, + "step": 22499 + }, + { + "epoch": 0.79, + "learning_rate": 2.1521802316991137e-05, + "loss": 0.4139, + "step": 22500 + }, + { + "epoch": 0.79, + "learning_rate": 2.1514984361646605e-05, + "loss": 0.4346, + "step": 22501 + }, + { + "epoch": 0.79, + "learning_rate": 2.150816735623239e-05, + "loss": 0.4297, + "step": 22502 + }, + { + "epoch": 0.79, + "learning_rate": 2.1501351300830995e-05, + "loss": 0.5668, + "step": 22503 + }, + { + "epoch": 0.79, + "learning_rate": 2.1494536195524905e-05, + "loss": 0.4194, + "step": 22504 + }, + { + "epoch": 0.79, + "learning_rate": 2.1487722040396642e-05, + "loss": 0.4379, + "step": 22505 + }, + { + "epoch": 0.79, + "learning_rate": 2.1480908835528656e-05, + "loss": 0.476, + "step": 22506 + }, + { + "epoch": 0.79, + "learning_rate": 2.1474096581003413e-05, + "loss": 0.379, + "step": 22507 + }, + { + "epoch": 0.79, + "learning_rate": 2.146728527690337e-05, + "loss": 0.4514, + "step": 22508 + }, + { + "epoch": 0.79, + "learning_rate": 2.1460474923310925e-05, + "loss": 0.4332, + "step": 22509 + }, + { + "epoch": 0.79, + "learning_rate": 2.1453665520308574e-05, + "loss": 0.4375, + "step": 22510 + }, + { + "epoch": 0.79, + "learning_rate": 2.14468570679787e-05, + "loss": 0.4192, + "step": 22511 + }, + { + "epoch": 0.79, + "learning_rate": 2.1440049566403697e-05, + "loss": 0.4364, + "step": 22512 + }, + { + "epoch": 0.79, + "learning_rate": 2.1433243015665984e-05, + "loss": 0.428, + "step": 22513 + }, + { + "epoch": 0.79, + "learning_rate": 2.14264374158479e-05, + "loss": 0.4454, + "step": 22514 + }, + { + "epoch": 0.79, + "learning_rate": 2.141963276703186e-05, + "loss": 0.457, + "step": 22515 + }, + { + "epoch": 0.79, + "learning_rate": 2.1412829069300223e-05, + "loss": 0.3689, + "step": 22516 + }, + { + "epoch": 0.79, + "learning_rate": 2.1406026322735307e-05, + "loss": 0.4675, + "step": 22517 + }, + { + "epoch": 0.79, + "learning_rate": 2.139922452741947e-05, + "loss": 0.4268, + "step": 22518 + }, + { + "epoch": 0.79, + "learning_rate": 2.1392423683435003e-05, + "loss": 0.4884, + "step": 22519 + }, + { + "epoch": 0.79, + "learning_rate": 2.138562379086426e-05, + "loss": 0.4149, + "step": 22520 + }, + { + "epoch": 0.79, + "learning_rate": 2.1378824849789536e-05, + "loss": 0.5279, + "step": 22521 + }, + { + "epoch": 0.79, + "learning_rate": 2.1372026860293115e-05, + "loss": 0.4355, + "step": 22522 + }, + { + "epoch": 0.79, + "learning_rate": 2.1365229822457255e-05, + "loss": 0.3751, + "step": 22523 + }, + { + "epoch": 0.79, + "learning_rate": 2.1358433736364226e-05, + "loss": 0.5773, + "step": 22524 + }, + { + "epoch": 0.79, + "learning_rate": 2.1351638602096313e-05, + "loss": 0.4661, + "step": 22525 + }, + { + "epoch": 0.79, + "learning_rate": 2.1344844419735755e-05, + "loss": 0.4083, + "step": 22526 + }, + { + "epoch": 0.79, + "learning_rate": 2.133805118936477e-05, + "loss": 0.4225, + "step": 22527 + }, + { + "epoch": 0.79, + "learning_rate": 2.1331258911065577e-05, + "loss": 0.4229, + "step": 22528 + }, + { + "epoch": 0.79, + "learning_rate": 2.132446758492036e-05, + "loss": 0.4429, + "step": 22529 + }, + { + "epoch": 0.79, + "learning_rate": 2.131767721101138e-05, + "loss": 0.4233, + "step": 22530 + }, + { + "epoch": 0.79, + "learning_rate": 2.1310887789420786e-05, + "loss": 0.4211, + "step": 22531 + }, + { + "epoch": 0.79, + "learning_rate": 2.1304099320230752e-05, + "loss": 0.4129, + "step": 22532 + }, + { + "epoch": 0.79, + "learning_rate": 2.1297311803523457e-05, + "loss": 0.4577, + "step": 22533 + }, + { + "epoch": 0.79, + "learning_rate": 2.1290525239381032e-05, + "loss": 0.4141, + "step": 22534 + }, + { + "epoch": 0.79, + "learning_rate": 2.1283739627885602e-05, + "loss": 0.5678, + "step": 22535 + }, + { + "epoch": 0.79, + "learning_rate": 2.1276954969119334e-05, + "loss": 0.3993, + "step": 22536 + }, + { + "epoch": 0.79, + "learning_rate": 2.127017126316434e-05, + "loss": 0.4576, + "step": 22537 + }, + { + "epoch": 0.79, + "learning_rate": 2.1263388510102724e-05, + "loss": 0.3604, + "step": 22538 + }, + { + "epoch": 0.79, + "learning_rate": 2.1256606710016558e-05, + "loss": 0.418, + "step": 22539 + }, + { + "epoch": 0.79, + "learning_rate": 2.1249825862987917e-05, + "loss": 0.4364, + "step": 22540 + }, + { + "epoch": 0.79, + "learning_rate": 2.124304596909892e-05, + "loss": 0.333, + "step": 22541 + }, + { + "epoch": 0.79, + "learning_rate": 2.12362670284316e-05, + "loss": 0.3877, + "step": 22542 + }, + { + "epoch": 0.79, + "learning_rate": 2.1229489041067997e-05, + "loss": 0.3564, + "step": 22543 + }, + { + "epoch": 0.79, + "learning_rate": 2.1222712007090163e-05, + "loss": 0.4396, + "step": 22544 + }, + { + "epoch": 0.79, + "learning_rate": 2.121593592658008e-05, + "loss": 0.4831, + "step": 22545 + }, + { + "epoch": 0.79, + "learning_rate": 2.120916079961983e-05, + "loss": 0.4022, + "step": 22546 + }, + { + "epoch": 0.79, + "learning_rate": 2.120238662629137e-05, + "loss": 0.354, + "step": 22547 + }, + { + "epoch": 0.79, + "learning_rate": 2.1195613406676706e-05, + "loss": 0.3935, + "step": 22548 + }, + { + "epoch": 0.79, + "learning_rate": 2.1188841140857806e-05, + "loss": 0.3907, + "step": 22549 + }, + { + "epoch": 0.79, + "learning_rate": 2.1182069828916617e-05, + "loss": 0.4617, + "step": 22550 + }, + { + "epoch": 0.79, + "learning_rate": 2.117529947093515e-05, + "loss": 0.4122, + "step": 22551 + }, + { + "epoch": 0.79, + "learning_rate": 2.1168530066995306e-05, + "loss": 0.5126, + "step": 22552 + }, + { + "epoch": 0.79, + "learning_rate": 2.1161761617179042e-05, + "loss": 0.333, + "step": 22553 + }, + { + "epoch": 0.79, + "learning_rate": 2.1154994121568263e-05, + "loss": 0.3843, + "step": 22554 + }, + { + "epoch": 0.79, + "learning_rate": 2.114822758024485e-05, + "loss": 0.4183, + "step": 22555 + }, + { + "epoch": 0.79, + "learning_rate": 2.1141461993290757e-05, + "loss": 0.3759, + "step": 22556 + }, + { + "epoch": 0.79, + "learning_rate": 2.1134697360787847e-05, + "loss": 0.3916, + "step": 22557 + }, + { + "epoch": 0.79, + "learning_rate": 2.112793368281799e-05, + "loss": 0.4475, + "step": 22558 + }, + { + "epoch": 0.79, + "learning_rate": 2.1121170959463054e-05, + "loss": 0.4161, + "step": 22559 + }, + { + "epoch": 0.79, + "learning_rate": 2.111440919080486e-05, + "loss": 0.407, + "step": 22560 + }, + { + "epoch": 0.79, + "learning_rate": 2.1107648376925317e-05, + "loss": 0.4386, + "step": 22561 + }, + { + "epoch": 0.79, + "learning_rate": 2.1100888517906194e-05, + "loss": 0.3626, + "step": 22562 + }, + { + "epoch": 0.79, + "learning_rate": 2.1094129613829328e-05, + "loss": 0.4358, + "step": 22563 + }, + { + "epoch": 0.79, + "learning_rate": 2.1087371664776534e-05, + "loss": 0.4247, + "step": 22564 + }, + { + "epoch": 0.79, + "learning_rate": 2.108061467082958e-05, + "loss": 0.4324, + "step": 22565 + }, + { + "epoch": 0.79, + "learning_rate": 2.1073858632070243e-05, + "loss": 0.4155, + "step": 22566 + }, + { + "epoch": 0.79, + "learning_rate": 2.1067103548580348e-05, + "loss": 0.4473, + "step": 22567 + }, + { + "epoch": 0.79, + "learning_rate": 2.1060349420441605e-05, + "loss": 0.5209, + "step": 22568 + }, + { + "epoch": 0.79, + "learning_rate": 2.1053596247735775e-05, + "loss": 0.4245, + "step": 22569 + }, + { + "epoch": 0.79, + "learning_rate": 2.1046844030544598e-05, + "loss": 0.539, + "step": 22570 + }, + { + "epoch": 0.79, + "learning_rate": 2.104009276894977e-05, + "loss": 0.4465, + "step": 22571 + }, + { + "epoch": 0.79, + "learning_rate": 2.1033342463033057e-05, + "loss": 0.3368, + "step": 22572 + }, + { + "epoch": 0.79, + "learning_rate": 2.1026593112876136e-05, + "loss": 0.3509, + "step": 22573 + }, + { + "epoch": 0.79, + "learning_rate": 2.1019844718560677e-05, + "loss": 0.4731, + "step": 22574 + }, + { + "epoch": 0.79, + "learning_rate": 2.101309728016838e-05, + "loss": 0.4135, + "step": 22575 + }, + { + "epoch": 0.79, + "learning_rate": 2.1006350797780884e-05, + "loss": 0.4715, + "step": 22576 + }, + { + "epoch": 0.79, + "learning_rate": 2.0999605271479882e-05, + "loss": 0.3945, + "step": 22577 + }, + { + "epoch": 0.79, + "learning_rate": 2.0992860701347005e-05, + "loss": 0.4214, + "step": 22578 + }, + { + "epoch": 0.79, + "learning_rate": 2.0986117087463886e-05, + "loss": 0.348, + "step": 22579 + }, + { + "epoch": 0.79, + "learning_rate": 2.0979374429912135e-05, + "loss": 0.4918, + "step": 22580 + }, + { + "epoch": 0.79, + "learning_rate": 2.0972632728773335e-05, + "loss": 0.4411, + "step": 22581 + }, + { + "epoch": 0.79, + "learning_rate": 2.096589198412917e-05, + "loss": 0.4166, + "step": 22582 + }, + { + "epoch": 0.79, + "learning_rate": 2.0959152196061137e-05, + "loss": 0.4634, + "step": 22583 + }, + { + "epoch": 0.79, + "learning_rate": 2.0952413364650837e-05, + "loss": 0.4032, + "step": 22584 + }, + { + "epoch": 0.79, + "learning_rate": 2.0945675489979822e-05, + "loss": 0.3993, + "step": 22585 + }, + { + "epoch": 0.79, + "learning_rate": 2.0938938572129672e-05, + "loss": 0.4, + "step": 22586 + }, + { + "epoch": 0.79, + "learning_rate": 2.0932202611181917e-05, + "loss": 0.4017, + "step": 22587 + }, + { + "epoch": 0.79, + "learning_rate": 2.0925467607218087e-05, + "loss": 0.4135, + "step": 22588 + }, + { + "epoch": 0.79, + "learning_rate": 2.091873356031968e-05, + "loss": 0.3832, + "step": 22589 + }, + { + "epoch": 0.79, + "learning_rate": 2.0912000470568184e-05, + "loss": 0.4005, + "step": 22590 + }, + { + "epoch": 0.79, + "learning_rate": 2.0905268338045147e-05, + "loss": 0.6068, + "step": 22591 + }, + { + "epoch": 0.79, + "learning_rate": 2.0898537162832022e-05, + "loss": 0.5253, + "step": 22592 + }, + { + "epoch": 0.79, + "learning_rate": 2.0891806945010273e-05, + "loss": 0.4368, + "step": 22593 + }, + { + "epoch": 0.79, + "learning_rate": 2.088507768466137e-05, + "loss": 0.4258, + "step": 22594 + }, + { + "epoch": 0.79, + "learning_rate": 2.0878349381866726e-05, + "loss": 0.4406, + "step": 22595 + }, + { + "epoch": 0.79, + "learning_rate": 2.0871622036707815e-05, + "loss": 0.487, + "step": 22596 + }, + { + "epoch": 0.79, + "learning_rate": 2.086489564926607e-05, + "loss": 0.498, + "step": 22597 + }, + { + "epoch": 0.79, + "learning_rate": 2.0858170219622864e-05, + "loss": 0.3902, + "step": 22598 + }, + { + "epoch": 0.79, + "learning_rate": 2.085144574785962e-05, + "loss": 0.4508, + "step": 22599 + }, + { + "epoch": 0.79, + "learning_rate": 2.084472223405772e-05, + "loss": 0.4086, + "step": 22600 + }, + { + "epoch": 0.79, + "eval_loss": 0.4164082109928131, + "eval_runtime": 846.4984, + "eval_samples_per_second": 28.423, + "eval_steps_per_second": 14.211, + "step": 22600 + }, + { + "epoch": 0.79, + "learning_rate": 2.0837999678298516e-05, + "loss": 0.4985, + "step": 22601 + }, + { + "epoch": 0.79, + "learning_rate": 2.083127808066342e-05, + "loss": 0.3977, + "step": 22602 + }, + { + "epoch": 0.79, + "learning_rate": 2.0824557441233773e-05, + "loss": 0.3765, + "step": 22603 + }, + { + "epoch": 0.79, + "learning_rate": 2.0817837760090897e-05, + "loss": 0.5418, + "step": 22604 + }, + { + "epoch": 0.79, + "learning_rate": 2.081111903731614e-05, + "loss": 0.4676, + "step": 22605 + }, + { + "epoch": 0.79, + "learning_rate": 2.0804401272990794e-05, + "loss": 0.4841, + "step": 22606 + }, + { + "epoch": 0.79, + "learning_rate": 2.07976844671962e-05, + "loss": 0.4428, + "step": 22607 + }, + { + "epoch": 0.79, + "learning_rate": 2.079096862001365e-05, + "loss": 0.4415, + "step": 22608 + }, + { + "epoch": 0.79, + "learning_rate": 2.0784253731524418e-05, + "loss": 0.4101, + "step": 22609 + }, + { + "epoch": 0.79, + "learning_rate": 2.0777539801809776e-05, + "loss": 0.5084, + "step": 22610 + }, + { + "epoch": 0.79, + "learning_rate": 2.0770826830950962e-05, + "loss": 0.4516, + "step": 22611 + }, + { + "epoch": 0.79, + "learning_rate": 2.0764114819029267e-05, + "loss": 0.3358, + "step": 22612 + }, + { + "epoch": 0.79, + "learning_rate": 2.0757403766125926e-05, + "loss": 0.4892, + "step": 22613 + }, + { + "epoch": 0.79, + "learning_rate": 2.075069367232214e-05, + "loss": 0.484, + "step": 22614 + }, + { + "epoch": 0.79, + "learning_rate": 2.0743984537699147e-05, + "loss": 0.4137, + "step": 22615 + }, + { + "epoch": 0.79, + "learning_rate": 2.07372763623381e-05, + "loss": 0.4003, + "step": 22616 + }, + { + "epoch": 0.79, + "learning_rate": 2.0730569146320255e-05, + "loss": 0.4099, + "step": 22617 + }, + { + "epoch": 0.79, + "learning_rate": 2.0723862889726765e-05, + "loss": 0.3606, + "step": 22618 + }, + { + "epoch": 0.79, + "learning_rate": 2.0717157592638793e-05, + "loss": 0.3972, + "step": 22619 + }, + { + "epoch": 0.79, + "learning_rate": 2.0710453255137507e-05, + "loss": 0.4016, + "step": 22620 + }, + { + "epoch": 0.79, + "learning_rate": 2.070374987730401e-05, + "loss": 0.4712, + "step": 22621 + }, + { + "epoch": 0.79, + "learning_rate": 2.069704745921951e-05, + "loss": 0.5385, + "step": 22622 + }, + { + "epoch": 0.79, + "learning_rate": 2.069034600096508e-05, + "loss": 0.4107, + "step": 22623 + }, + { + "epoch": 0.79, + "learning_rate": 2.068364550262183e-05, + "loss": 0.4692, + "step": 22624 + }, + { + "epoch": 0.79, + "learning_rate": 2.0676945964270877e-05, + "loss": 0.3709, + "step": 22625 + }, + { + "epoch": 0.79, + "learning_rate": 2.067024738599327e-05, + "loss": 0.4122, + "step": 22626 + }, + { + "epoch": 0.79, + "learning_rate": 2.0663549767870126e-05, + "loss": 0.4938, + "step": 22627 + }, + { + "epoch": 0.79, + "learning_rate": 2.065685310998251e-05, + "loss": 0.4045, + "step": 22628 + }, + { + "epoch": 0.79, + "learning_rate": 2.065015741241144e-05, + "loss": 0.3454, + "step": 22629 + }, + { + "epoch": 0.79, + "learning_rate": 2.0643462675237992e-05, + "loss": 0.4793, + "step": 22630 + }, + { + "epoch": 0.79, + "learning_rate": 2.0636768898543146e-05, + "loss": 0.4224, + "step": 22631 + }, + { + "epoch": 0.79, + "learning_rate": 2.0630076082407966e-05, + "loss": 0.4458, + "step": 22632 + }, + { + "epoch": 0.79, + "learning_rate": 2.0623384226913455e-05, + "loss": 0.4949, + "step": 22633 + }, + { + "epoch": 0.79, + "learning_rate": 2.0616693332140578e-05, + "loss": 0.3914, + "step": 22634 + }, + { + "epoch": 0.79, + "learning_rate": 2.061000339817034e-05, + "loss": 0.4042, + "step": 22635 + }, + { + "epoch": 0.79, + "learning_rate": 2.060331442508371e-05, + "loss": 0.3648, + "step": 22636 + }, + { + "epoch": 0.79, + "learning_rate": 2.0596626412961606e-05, + "loss": 0.4156, + "step": 22637 + }, + { + "epoch": 0.79, + "learning_rate": 2.0589939361885036e-05, + "loss": 0.4317, + "step": 22638 + }, + { + "epoch": 0.79, + "learning_rate": 2.058325327193491e-05, + "loss": 0.4255, + "step": 22639 + }, + { + "epoch": 0.79, + "learning_rate": 2.0576568143192154e-05, + "loss": 0.5055, + "step": 22640 + }, + { + "epoch": 0.79, + "learning_rate": 2.056988397573767e-05, + "loss": 0.4501, + "step": 22641 + }, + { + "epoch": 0.79, + "learning_rate": 2.0563200769652347e-05, + "loss": 0.4407, + "step": 22642 + }, + { + "epoch": 0.79, + "learning_rate": 2.055651852501712e-05, + "loss": 0.4612, + "step": 22643 + }, + { + "epoch": 0.79, + "learning_rate": 2.054983724191284e-05, + "loss": 0.3994, + "step": 22644 + }, + { + "epoch": 0.79, + "learning_rate": 2.054315692042037e-05, + "loss": 0.3569, + "step": 22645 + }, + { + "epoch": 0.79, + "learning_rate": 2.053647756062056e-05, + "loss": 0.3927, + "step": 22646 + }, + { + "epoch": 0.79, + "learning_rate": 2.0529799162594244e-05, + "loss": 0.3701, + "step": 22647 + }, + { + "epoch": 0.79, + "learning_rate": 2.052312172642229e-05, + "loss": 0.4793, + "step": 22648 + }, + { + "epoch": 0.79, + "learning_rate": 2.051644525218549e-05, + "loss": 0.357, + "step": 22649 + }, + { + "epoch": 0.79, + "learning_rate": 2.050976973996467e-05, + "loss": 0.4045, + "step": 22650 + }, + { + "epoch": 0.79, + "learning_rate": 2.0503095189840605e-05, + "loss": 0.4427, + "step": 22651 + }, + { + "epoch": 0.79, + "learning_rate": 2.0496421601894057e-05, + "loss": 0.4358, + "step": 22652 + }, + { + "epoch": 0.79, + "learning_rate": 2.0489748976205857e-05, + "loss": 0.4625, + "step": 22653 + }, + { + "epoch": 0.79, + "learning_rate": 2.0483077312856736e-05, + "loss": 0.4342, + "step": 22654 + }, + { + "epoch": 0.79, + "learning_rate": 2.0476406611927456e-05, + "loss": 0.4948, + "step": 22655 + }, + { + "epoch": 0.79, + "learning_rate": 2.0469736873498736e-05, + "loss": 0.3607, + "step": 22656 + }, + { + "epoch": 0.79, + "learning_rate": 2.0463068097651284e-05, + "loss": 0.3941, + "step": 22657 + }, + { + "epoch": 0.79, + "learning_rate": 2.045640028446586e-05, + "loss": 0.4289, + "step": 22658 + }, + { + "epoch": 0.79, + "learning_rate": 2.0449733434023154e-05, + "loss": 0.4081, + "step": 22659 + }, + { + "epoch": 0.79, + "learning_rate": 2.0443067546403862e-05, + "loss": 0.4895, + "step": 22660 + }, + { + "epoch": 0.79, + "learning_rate": 2.0436402621688632e-05, + "loss": 0.4178, + "step": 22661 + }, + { + "epoch": 0.79, + "learning_rate": 2.042973865995813e-05, + "loss": 0.4576, + "step": 22662 + }, + { + "epoch": 0.79, + "learning_rate": 2.0423075661293068e-05, + "loss": 0.4117, + "step": 22663 + }, + { + "epoch": 0.79, + "learning_rate": 2.0416413625774056e-05, + "loss": 0.5385, + "step": 22664 + }, + { + "epoch": 0.79, + "learning_rate": 2.040975255348172e-05, + "loss": 0.411, + "step": 22665 + }, + { + "epoch": 0.79, + "learning_rate": 2.0403092444496696e-05, + "loss": 0.4404, + "step": 22666 + }, + { + "epoch": 0.79, + "learning_rate": 2.0396433298899574e-05, + "loss": 0.4764, + "step": 22667 + }, + { + "epoch": 0.79, + "learning_rate": 2.038977511677095e-05, + "loss": 0.4951, + "step": 22668 + }, + { + "epoch": 0.79, + "learning_rate": 2.0383117898191438e-05, + "loss": 0.4001, + "step": 22669 + }, + { + "epoch": 0.79, + "learning_rate": 2.0376461643241608e-05, + "loss": 0.4091, + "step": 22670 + }, + { + "epoch": 0.79, + "learning_rate": 2.0369806352002006e-05, + "loss": 0.4869, + "step": 22671 + }, + { + "epoch": 0.79, + "learning_rate": 2.0363152024553202e-05, + "loss": 0.3999, + "step": 22672 + }, + { + "epoch": 0.79, + "learning_rate": 2.0356498660975688e-05, + "loss": 0.3791, + "step": 22673 + }, + { + "epoch": 0.79, + "learning_rate": 2.0349846261350046e-05, + "loss": 0.5385, + "step": 22674 + }, + { + "epoch": 0.79, + "learning_rate": 2.0343194825756783e-05, + "loss": 0.5096, + "step": 22675 + }, + { + "epoch": 0.79, + "learning_rate": 2.03365443542764e-05, + "loss": 0.4568, + "step": 22676 + }, + { + "epoch": 0.79, + "learning_rate": 2.0329894846989383e-05, + "loss": 0.4755, + "step": 22677 + }, + { + "epoch": 0.79, + "learning_rate": 2.0323246303976186e-05, + "loss": 0.4381, + "step": 22678 + }, + { + "epoch": 0.79, + "learning_rate": 2.0316598725317327e-05, + "loss": 0.5051, + "step": 22679 + }, + { + "epoch": 0.79, + "learning_rate": 2.0309952111093256e-05, + "loss": 0.443, + "step": 22680 + }, + { + "epoch": 0.79, + "learning_rate": 2.03033064613844e-05, + "loss": 0.4538, + "step": 22681 + }, + { + "epoch": 0.79, + "learning_rate": 2.0296661776271196e-05, + "loss": 0.4327, + "step": 22682 + }, + { + "epoch": 0.79, + "learning_rate": 2.029001805583406e-05, + "loss": 0.4935, + "step": 22683 + }, + { + "epoch": 0.79, + "learning_rate": 2.0283375300153428e-05, + "loss": 0.3983, + "step": 22684 + }, + { + "epoch": 0.79, + "learning_rate": 2.0276733509309685e-05, + "loss": 0.4702, + "step": 22685 + }, + { + "epoch": 0.79, + "learning_rate": 2.0270092683383223e-05, + "loss": 0.4777, + "step": 22686 + }, + { + "epoch": 0.79, + "learning_rate": 2.026345282245442e-05, + "loss": 0.442, + "step": 22687 + }, + { + "epoch": 0.79, + "learning_rate": 2.0256813926603613e-05, + "loss": 0.4272, + "step": 22688 + }, + { + "epoch": 0.79, + "learning_rate": 2.025017599591119e-05, + "loss": 0.3632, + "step": 22689 + }, + { + "epoch": 0.79, + "learning_rate": 2.0243539030457492e-05, + "loss": 0.3549, + "step": 22690 + }, + { + "epoch": 0.79, + "learning_rate": 2.023690303032283e-05, + "loss": 0.4121, + "step": 22691 + }, + { + "epoch": 0.79, + "learning_rate": 2.0230267995587525e-05, + "loss": 0.3797, + "step": 22692 + }, + { + "epoch": 0.79, + "learning_rate": 2.0223633926331864e-05, + "loss": 0.4722, + "step": 22693 + }, + { + "epoch": 0.79, + "learning_rate": 2.021700082263619e-05, + "loss": 0.4882, + "step": 22694 + }, + { + "epoch": 0.79, + "learning_rate": 2.021036868458076e-05, + "loss": 0.4394, + "step": 22695 + }, + { + "epoch": 0.79, + "learning_rate": 2.0203737512245833e-05, + "loss": 0.4285, + "step": 22696 + }, + { + "epoch": 0.79, + "learning_rate": 2.0197107305711693e-05, + "loss": 0.3928, + "step": 22697 + }, + { + "epoch": 0.79, + "learning_rate": 2.0190478065058536e-05, + "loss": 0.429, + "step": 22698 + }, + { + "epoch": 0.79, + "learning_rate": 2.0183849790366672e-05, + "loss": 0.3627, + "step": 22699 + }, + { + "epoch": 0.79, + "learning_rate": 2.0177222481716284e-05, + "loss": 0.4097, + "step": 22700 + }, + { + "epoch": 0.79, + "learning_rate": 2.0170596139187593e-05, + "loss": 0.3652, + "step": 22701 + }, + { + "epoch": 0.79, + "learning_rate": 2.0163970762860783e-05, + "loss": 0.4187, + "step": 22702 + }, + { + "epoch": 0.79, + "learning_rate": 2.0157346352816063e-05, + "loss": 0.3882, + "step": 22703 + }, + { + "epoch": 0.79, + "learning_rate": 2.0150722909133578e-05, + "loss": 0.3984, + "step": 22704 + }, + { + "epoch": 0.79, + "learning_rate": 2.0144100431893554e-05, + "loss": 0.4084, + "step": 22705 + }, + { + "epoch": 0.79, + "learning_rate": 2.01374789211761e-05, + "loss": 0.4066, + "step": 22706 + }, + { + "epoch": 0.79, + "learning_rate": 2.0130858377061378e-05, + "loss": 0.378, + "step": 22707 + }, + { + "epoch": 0.79, + "learning_rate": 2.01242387996295e-05, + "loss": 0.4367, + "step": 22708 + }, + { + "epoch": 0.79, + "learning_rate": 2.0117620188960572e-05, + "loss": 0.4127, + "step": 22709 + }, + { + "epoch": 0.79, + "learning_rate": 2.0111002545134748e-05, + "loss": 0.4593, + "step": 22710 + }, + { + "epoch": 0.79, + "learning_rate": 2.01043858682321e-05, + "loss": 0.4408, + "step": 22711 + }, + { + "epoch": 0.79, + "learning_rate": 2.0097770158332708e-05, + "loss": 0.4131, + "step": 22712 + }, + { + "epoch": 0.79, + "learning_rate": 2.009115541551665e-05, + "loss": 0.4324, + "step": 22713 + }, + { + "epoch": 0.79, + "learning_rate": 2.008454163986396e-05, + "loss": 0.3882, + "step": 22714 + }, + { + "epoch": 0.79, + "learning_rate": 2.007792883145474e-05, + "loss": 0.4827, + "step": 22715 + }, + { + "epoch": 0.79, + "learning_rate": 2.0071316990368993e-05, + "loss": 0.3804, + "step": 22716 + }, + { + "epoch": 0.79, + "learning_rate": 2.0064706116686772e-05, + "loss": 0.409, + "step": 22717 + }, + { + "epoch": 0.79, + "learning_rate": 2.005809621048802e-05, + "loss": 0.421, + "step": 22718 + }, + { + "epoch": 0.8, + "learning_rate": 2.00514872718528e-05, + "loss": 0.4498, + "step": 22719 + }, + { + "epoch": 0.8, + "learning_rate": 2.0044879300861096e-05, + "loss": 0.4615, + "step": 22720 + }, + { + "epoch": 0.8, + "learning_rate": 2.0038272297592887e-05, + "loss": 0.4573, + "step": 22721 + }, + { + "epoch": 0.8, + "learning_rate": 2.0031666262128125e-05, + "loss": 0.3615, + "step": 22722 + }, + { + "epoch": 0.8, + "learning_rate": 2.0025061194546747e-05, + "loss": 0.4361, + "step": 22723 + }, + { + "epoch": 0.8, + "learning_rate": 2.0018457094928745e-05, + "loss": 0.414, + "step": 22724 + }, + { + "epoch": 0.8, + "learning_rate": 2.0011853963354022e-05, + "loss": 0.3843, + "step": 22725 + }, + { + "epoch": 0.8, + "learning_rate": 2.0005251799902515e-05, + "loss": 0.4398, + "step": 22726 + }, + { + "epoch": 0.8, + "learning_rate": 1.9998650604654112e-05, + "loss": 0.499, + "step": 22727 + }, + { + "epoch": 0.8, + "learning_rate": 1.9992050377688686e-05, + "loss": 0.4006, + "step": 22728 + }, + { + "epoch": 0.8, + "learning_rate": 1.9985451119086184e-05, + "loss": 0.4615, + "step": 22729 + }, + { + "epoch": 0.8, + "learning_rate": 1.9978852828926454e-05, + "loss": 0.4337, + "step": 22730 + }, + { + "epoch": 0.8, + "learning_rate": 1.997225550728934e-05, + "loss": 0.4303, + "step": 22731 + }, + { + "epoch": 0.8, + "learning_rate": 1.9965659154254714e-05, + "loss": 0.4352, + "step": 22732 + }, + { + "epoch": 0.8, + "learning_rate": 1.9959063769902363e-05, + "loss": 0.5225, + "step": 22733 + }, + { + "epoch": 0.8, + "learning_rate": 1.9952469354312185e-05, + "loss": 0.4925, + "step": 22734 + }, + { + "epoch": 0.8, + "learning_rate": 1.994587590756397e-05, + "loss": 0.4151, + "step": 22735 + }, + { + "epoch": 0.8, + "learning_rate": 1.993928342973751e-05, + "loss": 0.4504, + "step": 22736 + }, + { + "epoch": 0.8, + "learning_rate": 1.9932691920912593e-05, + "loss": 0.4007, + "step": 22737 + }, + { + "epoch": 0.8, + "learning_rate": 1.9926101381169005e-05, + "loss": 0.4571, + "step": 22738 + }, + { + "epoch": 0.8, + "learning_rate": 1.991951181058649e-05, + "loss": 0.4072, + "step": 22739 + }, + { + "epoch": 0.8, + "learning_rate": 1.991292320924485e-05, + "loss": 0.3655, + "step": 22740 + }, + { + "epoch": 0.8, + "learning_rate": 1.990633557722381e-05, + "loss": 0.483, + "step": 22741 + }, + { + "epoch": 0.8, + "learning_rate": 1.98997489146031e-05, + "loss": 0.4571, + "step": 22742 + }, + { + "epoch": 0.8, + "learning_rate": 1.989316322146243e-05, + "loss": 0.3684, + "step": 22743 + }, + { + "epoch": 0.8, + "learning_rate": 1.988657849788149e-05, + "loss": 0.3896, + "step": 22744 + }, + { + "epoch": 0.8, + "learning_rate": 1.9879994743940035e-05, + "loss": 0.4297, + "step": 22745 + }, + { + "epoch": 0.8, + "learning_rate": 1.9873411959717723e-05, + "loss": 0.517, + "step": 22746 + }, + { + "epoch": 0.8, + "learning_rate": 1.9866830145294214e-05, + "loss": 0.4312, + "step": 22747 + }, + { + "epoch": 0.8, + "learning_rate": 1.986024930074919e-05, + "loss": 0.4488, + "step": 22748 + }, + { + "epoch": 0.8, + "learning_rate": 1.9853669426162257e-05, + "loss": 0.3663, + "step": 22749 + }, + { + "epoch": 0.8, + "learning_rate": 1.9847090521613122e-05, + "loss": 0.4329, + "step": 22750 + }, + { + "epoch": 0.8, + "learning_rate": 1.984051258718137e-05, + "loss": 0.4035, + "step": 22751 + }, + { + "epoch": 0.8, + "learning_rate": 1.983393562294663e-05, + "loss": 0.4454, + "step": 22752 + }, + { + "epoch": 0.8, + "learning_rate": 1.9827359628988497e-05, + "loss": 0.427, + "step": 22753 + }, + { + "epoch": 0.8, + "learning_rate": 1.9820784605386534e-05, + "loss": 0.3718, + "step": 22754 + }, + { + "epoch": 0.8, + "learning_rate": 1.981421055222038e-05, + "loss": 0.4555, + "step": 22755 + }, + { + "epoch": 0.8, + "learning_rate": 1.9807637469569575e-05, + "loss": 0.3428, + "step": 22756 + }, + { + "epoch": 0.8, + "learning_rate": 1.980106535751367e-05, + "loss": 0.4886, + "step": 22757 + }, + { + "epoch": 0.8, + "learning_rate": 1.979449421613222e-05, + "loss": 0.3935, + "step": 22758 + }, + { + "epoch": 0.8, + "learning_rate": 1.9787924045504714e-05, + "loss": 0.4561, + "step": 22759 + }, + { + "epoch": 0.8, + "learning_rate": 1.9781354845710743e-05, + "loss": 0.5358, + "step": 22760 + }, + { + "epoch": 0.8, + "learning_rate": 1.977478661682979e-05, + "loss": 0.4848, + "step": 22761 + }, + { + "epoch": 0.8, + "learning_rate": 1.976821935894133e-05, + "loss": 0.4178, + "step": 22762 + }, + { + "epoch": 0.8, + "learning_rate": 1.9761653072124875e-05, + "loss": 0.443, + "step": 22763 + }, + { + "epoch": 0.8, + "learning_rate": 1.9755087756459854e-05, + "loss": 0.4128, + "step": 22764 + }, + { + "epoch": 0.8, + "learning_rate": 1.97485234120258e-05, + "loss": 0.4392, + "step": 22765 + }, + { + "epoch": 0.8, + "learning_rate": 1.9741960038902118e-05, + "loss": 0.4885, + "step": 22766 + }, + { + "epoch": 0.8, + "learning_rate": 1.9735397637168262e-05, + "loss": 0.3929, + "step": 22767 + }, + { + "epoch": 0.8, + "learning_rate": 1.9728836206903656e-05, + "loss": 0.3624, + "step": 22768 + }, + { + "epoch": 0.8, + "learning_rate": 1.9722275748187703e-05, + "loss": 0.3844, + "step": 22769 + }, + { + "epoch": 0.8, + "learning_rate": 1.9715716261099792e-05, + "loss": 0.3932, + "step": 22770 + }, + { + "epoch": 0.8, + "learning_rate": 1.9709157745719364e-05, + "loss": 0.4324, + "step": 22771 + }, + { + "epoch": 0.8, + "learning_rate": 1.9702600202125775e-05, + "loss": 0.408, + "step": 22772 + }, + { + "epoch": 0.8, + "learning_rate": 1.9696043630398386e-05, + "loss": 0.4797, + "step": 22773 + }, + { + "epoch": 0.8, + "learning_rate": 1.9689488030616564e-05, + "loss": 0.5194, + "step": 22774 + }, + { + "epoch": 0.8, + "learning_rate": 1.9682933402859615e-05, + "loss": 0.3921, + "step": 22775 + }, + { + "epoch": 0.8, + "learning_rate": 1.9676379747206943e-05, + "loss": 0.3916, + "step": 22776 + }, + { + "epoch": 0.8, + "learning_rate": 1.9669827063737813e-05, + "loss": 0.4163, + "step": 22777 + }, + { + "epoch": 0.8, + "learning_rate": 1.9663275352531562e-05, + "loss": 0.4755, + "step": 22778 + }, + { + "epoch": 0.8, + "learning_rate": 1.9656724613667476e-05, + "loss": 0.4295, + "step": 22779 + }, + { + "epoch": 0.8, + "learning_rate": 1.9650174847224823e-05, + "loss": 0.3764, + "step": 22780 + }, + { + "epoch": 0.8, + "learning_rate": 1.9643626053282916e-05, + "loss": 0.3971, + "step": 22781 + }, + { + "epoch": 0.8, + "learning_rate": 1.9637078231921e-05, + "loss": 0.4334, + "step": 22782 + }, + { + "epoch": 0.8, + "learning_rate": 1.963053138321832e-05, + "loss": 0.4326, + "step": 22783 + }, + { + "epoch": 0.8, + "learning_rate": 1.9623985507254127e-05, + "loss": 0.4382, + "step": 22784 + }, + { + "epoch": 0.8, + "learning_rate": 1.9617440604107607e-05, + "loss": 0.5176, + "step": 22785 + }, + { + "epoch": 0.8, + "learning_rate": 1.9610896673858025e-05, + "loss": 0.4315, + "step": 22786 + }, + { + "epoch": 0.8, + "learning_rate": 1.9604353716584577e-05, + "loss": 0.3925, + "step": 22787 + }, + { + "epoch": 0.8, + "learning_rate": 1.9597811732366432e-05, + "loss": 0.4367, + "step": 22788 + }, + { + "epoch": 0.8, + "learning_rate": 1.9591270721282796e-05, + "loss": 0.4859, + "step": 22789 + }, + { + "epoch": 0.8, + "learning_rate": 1.958473068341279e-05, + "loss": 0.4987, + "step": 22790 + }, + { + "epoch": 0.8, + "learning_rate": 1.9578191618835628e-05, + "loss": 0.4789, + "step": 22791 + }, + { + "epoch": 0.8, + "learning_rate": 1.957165352763043e-05, + "loss": 0.4676, + "step": 22792 + }, + { + "epoch": 0.8, + "learning_rate": 1.9565116409876327e-05, + "loss": 0.4377, + "step": 22793 + }, + { + "epoch": 0.8, + "learning_rate": 1.9558580265652448e-05, + "loss": 0.4284, + "step": 22794 + }, + { + "epoch": 0.8, + "learning_rate": 1.9552045095037864e-05, + "loss": 0.4568, + "step": 22795 + }, + { + "epoch": 0.8, + "learning_rate": 1.954551089811173e-05, + "loss": 0.3299, + "step": 22796 + }, + { + "epoch": 0.8, + "learning_rate": 1.9538977674953106e-05, + "loss": 0.4149, + "step": 22797 + }, + { + "epoch": 0.8, + "learning_rate": 1.9532445425641065e-05, + "loss": 0.4206, + "step": 22798 + }, + { + "epoch": 0.8, + "learning_rate": 1.9525914150254663e-05, + "loss": 0.5136, + "step": 22799 + }, + { + "epoch": 0.8, + "learning_rate": 1.951938384887294e-05, + "loss": 0.4149, + "step": 22800 + }, + { + "epoch": 0.8, + "eval_loss": 0.4144943356513977, + "eval_runtime": 843.9802, + "eval_samples_per_second": 28.508, + "eval_steps_per_second": 14.254, + "step": 22800 + }, + { + "epoch": 0.8, + "learning_rate": 1.9512854521574976e-05, + "loss": 0.3957, + "step": 22801 + }, + { + "epoch": 0.8, + "learning_rate": 1.950632616843976e-05, + "loss": 0.3805, + "step": 22802 + }, + { + "epoch": 0.8, + "learning_rate": 1.949979878954633e-05, + "loss": 0.3927, + "step": 22803 + }, + { + "epoch": 0.8, + "learning_rate": 1.949327238497367e-05, + "loss": 0.4135, + "step": 22804 + }, + { + "epoch": 0.8, + "learning_rate": 1.9486746954800793e-05, + "loss": 0.3867, + "step": 22805 + }, + { + "epoch": 0.8, + "learning_rate": 1.9480222499106626e-05, + "loss": 0.3901, + "step": 22806 + }, + { + "epoch": 0.8, + "learning_rate": 1.9473699017970204e-05, + "loss": 0.4269, + "step": 22807 + }, + { + "epoch": 0.8, + "learning_rate": 1.9467176511470464e-05, + "loss": 0.4409, + "step": 22808 + }, + { + "epoch": 0.8, + "learning_rate": 1.9460654979686322e-05, + "loss": 0.4076, + "step": 22809 + }, + { + "epoch": 0.8, + "learning_rate": 1.9454134422696746e-05, + "loss": 0.5018, + "step": 22810 + }, + { + "epoch": 0.8, + "learning_rate": 1.9447614840580608e-05, + "loss": 0.4054, + "step": 22811 + }, + { + "epoch": 0.8, + "learning_rate": 1.9441096233416868e-05, + "loss": 0.4175, + "step": 22812 + }, + { + "epoch": 0.8, + "learning_rate": 1.9434578601284405e-05, + "loss": 0.3839, + "step": 22813 + }, + { + "epoch": 0.8, + "learning_rate": 1.94280619442621e-05, + "loss": 0.4261, + "step": 22814 + }, + { + "epoch": 0.8, + "learning_rate": 1.9421546262428835e-05, + "loss": 0.4466, + "step": 22815 + }, + { + "epoch": 0.8, + "learning_rate": 1.9415031555863428e-05, + "loss": 0.423, + "step": 22816 + }, + { + "epoch": 0.8, + "learning_rate": 1.94085178246448e-05, + "loss": 0.3793, + "step": 22817 + }, + { + "epoch": 0.8, + "learning_rate": 1.940200506885176e-05, + "loss": 0.3898, + "step": 22818 + }, + { + "epoch": 0.8, + "learning_rate": 1.9395493288563117e-05, + "loss": 0.3535, + "step": 22819 + }, + { + "epoch": 0.8, + "learning_rate": 1.93889824838577e-05, + "loss": 0.516, + "step": 22820 + }, + { + "epoch": 0.8, + "learning_rate": 1.9382472654814276e-05, + "loss": 0.4305, + "step": 22821 + }, + { + "epoch": 0.8, + "learning_rate": 1.9375963801511697e-05, + "loss": 0.4071, + "step": 22822 + }, + { + "epoch": 0.8, + "learning_rate": 1.936945592402871e-05, + "loss": 0.3625, + "step": 22823 + }, + { + "epoch": 0.8, + "learning_rate": 1.9362949022444087e-05, + "loss": 0.4666, + "step": 22824 + }, + { + "epoch": 0.8, + "learning_rate": 1.9356443096836585e-05, + "loss": 0.3597, + "step": 22825 + }, + { + "epoch": 0.8, + "learning_rate": 1.9349938147284918e-05, + "loss": 0.4592, + "step": 22826 + }, + { + "epoch": 0.8, + "learning_rate": 1.934343417386786e-05, + "loss": 0.3881, + "step": 22827 + }, + { + "epoch": 0.8, + "learning_rate": 1.933693117666412e-05, + "loss": 0.4273, + "step": 22828 + }, + { + "epoch": 0.8, + "learning_rate": 1.9330429155752394e-05, + "loss": 0.4921, + "step": 22829 + }, + { + "epoch": 0.8, + "learning_rate": 1.9323928111211377e-05, + "loss": 0.4464, + "step": 22830 + }, + { + "epoch": 0.8, + "learning_rate": 1.9317428043119746e-05, + "loss": 0.4221, + "step": 22831 + }, + { + "epoch": 0.8, + "learning_rate": 1.9310928951556205e-05, + "loss": 0.4191, + "step": 22832 + }, + { + "epoch": 0.8, + "learning_rate": 1.9304430836599395e-05, + "loss": 0.4176, + "step": 22833 + }, + { + "epoch": 0.8, + "learning_rate": 1.9297933698327976e-05, + "loss": 0.4053, + "step": 22834 + }, + { + "epoch": 0.8, + "learning_rate": 1.929143753682057e-05, + "loss": 0.3656, + "step": 22835 + }, + { + "epoch": 0.8, + "learning_rate": 1.9284942352155812e-05, + "loss": 0.453, + "step": 22836 + }, + { + "epoch": 0.8, + "learning_rate": 1.9278448144412276e-05, + "loss": 0.4728, + "step": 22837 + }, + { + "epoch": 0.8, + "learning_rate": 1.927195491366863e-05, + "loss": 0.3904, + "step": 22838 + }, + { + "epoch": 0.8, + "learning_rate": 1.926546266000343e-05, + "loss": 0.4644, + "step": 22839 + }, + { + "epoch": 0.8, + "learning_rate": 1.925897138349526e-05, + "loss": 0.328, + "step": 22840 + }, + { + "epoch": 0.8, + "learning_rate": 1.9252481084222685e-05, + "loss": 0.3219, + "step": 22841 + }, + { + "epoch": 0.8, + "learning_rate": 1.9245991762264225e-05, + "loss": 0.4578, + "step": 22842 + }, + { + "epoch": 0.8, + "learning_rate": 1.9239503417698478e-05, + "loss": 0.3887, + "step": 22843 + }, + { + "epoch": 0.8, + "learning_rate": 1.9233016050603958e-05, + "loss": 0.4405, + "step": 22844 + }, + { + "epoch": 0.8, + "learning_rate": 1.922652966105918e-05, + "loss": 0.5243, + "step": 22845 + }, + { + "epoch": 0.8, + "learning_rate": 1.922004424914263e-05, + "loss": 0.3824, + "step": 22846 + }, + { + "epoch": 0.8, + "learning_rate": 1.9213559814932814e-05, + "loss": 0.4739, + "step": 22847 + }, + { + "epoch": 0.8, + "learning_rate": 1.9207076358508235e-05, + "loss": 0.4294, + "step": 22848 + }, + { + "epoch": 0.8, + "learning_rate": 1.9200593879947358e-05, + "loss": 0.415, + "step": 22849 + }, + { + "epoch": 0.8, + "learning_rate": 1.9194112379328634e-05, + "loss": 0.4641, + "step": 22850 + }, + { + "epoch": 0.8, + "learning_rate": 1.9187631856730516e-05, + "loss": 0.4815, + "step": 22851 + }, + { + "epoch": 0.8, + "learning_rate": 1.9181152312231422e-05, + "loss": 0.4466, + "step": 22852 + }, + { + "epoch": 0.8, + "learning_rate": 1.917467374590981e-05, + "loss": 0.451, + "step": 22853 + }, + { + "epoch": 0.8, + "learning_rate": 1.9168196157844054e-05, + "loss": 0.4627, + "step": 22854 + }, + { + "epoch": 0.8, + "learning_rate": 1.916171954811259e-05, + "loss": 0.4531, + "step": 22855 + }, + { + "epoch": 0.8, + "learning_rate": 1.915524391679375e-05, + "loss": 0.4664, + "step": 22856 + }, + { + "epoch": 0.8, + "learning_rate": 1.9148769263965994e-05, + "loss": 0.408, + "step": 22857 + }, + { + "epoch": 0.8, + "learning_rate": 1.9142295589707625e-05, + "loss": 0.4713, + "step": 22858 + }, + { + "epoch": 0.8, + "learning_rate": 1.9135822894097023e-05, + "loss": 0.4633, + "step": 22859 + }, + { + "epoch": 0.8, + "learning_rate": 1.912935117721252e-05, + "loss": 0.4228, + "step": 22860 + }, + { + "epoch": 0.8, + "learning_rate": 1.912288043913242e-05, + "loss": 0.397, + "step": 22861 + }, + { + "epoch": 0.8, + "learning_rate": 1.911641067993509e-05, + "loss": 0.4838, + "step": 22862 + }, + { + "epoch": 0.8, + "learning_rate": 1.9109941899698813e-05, + "loss": 0.4922, + "step": 22863 + }, + { + "epoch": 0.8, + "learning_rate": 1.9103474098501885e-05, + "loss": 0.4182, + "step": 22864 + }, + { + "epoch": 0.8, + "learning_rate": 1.9097007276422585e-05, + "loss": 0.5062, + "step": 22865 + }, + { + "epoch": 0.8, + "learning_rate": 1.9090541433539155e-05, + "loss": 0.4578, + "step": 22866 + }, + { + "epoch": 0.8, + "learning_rate": 1.908407656992991e-05, + "loss": 0.3798, + "step": 22867 + }, + { + "epoch": 0.8, + "learning_rate": 1.9077612685673064e-05, + "loss": 0.4802, + "step": 22868 + }, + { + "epoch": 0.8, + "learning_rate": 1.907114978084685e-05, + "loss": 0.4963, + "step": 22869 + }, + { + "epoch": 0.8, + "learning_rate": 1.9064687855529506e-05, + "loss": 0.3617, + "step": 22870 + }, + { + "epoch": 0.8, + "learning_rate": 1.9058226909799238e-05, + "loss": 0.4366, + "step": 22871 + }, + { + "epoch": 0.8, + "learning_rate": 1.9051766943734206e-05, + "loss": 0.4941, + "step": 22872 + }, + { + "epoch": 0.8, + "learning_rate": 1.904530795741265e-05, + "loss": 0.4319, + "step": 22873 + }, + { + "epoch": 0.8, + "learning_rate": 1.9038849950912728e-05, + "loss": 0.4227, + "step": 22874 + }, + { + "epoch": 0.8, + "learning_rate": 1.9032392924312614e-05, + "loss": 0.589, + "step": 22875 + }, + { + "epoch": 0.8, + "learning_rate": 1.9025936877690433e-05, + "loss": 0.3849, + "step": 22876 + }, + { + "epoch": 0.8, + "learning_rate": 1.9019481811124318e-05, + "loss": 0.3788, + "step": 22877 + }, + { + "epoch": 0.8, + "learning_rate": 1.9013027724692444e-05, + "loss": 0.4325, + "step": 22878 + }, + { + "epoch": 0.8, + "learning_rate": 1.9006574618472905e-05, + "loss": 0.4445, + "step": 22879 + }, + { + "epoch": 0.8, + "learning_rate": 1.9000122492543792e-05, + "loss": 0.4599, + "step": 22880 + }, + { + "epoch": 0.8, + "learning_rate": 1.899367134698321e-05, + "loss": 0.4765, + "step": 22881 + }, + { + "epoch": 0.8, + "learning_rate": 1.898722118186922e-05, + "loss": 0.4398, + "step": 22882 + }, + { + "epoch": 0.8, + "learning_rate": 1.8980771997279913e-05, + "loss": 0.4454, + "step": 22883 + }, + { + "epoch": 0.8, + "learning_rate": 1.8974323793293347e-05, + "loss": 0.4004, + "step": 22884 + }, + { + "epoch": 0.8, + "learning_rate": 1.8967876569987565e-05, + "loss": 0.3905, + "step": 22885 + }, + { + "epoch": 0.8, + "learning_rate": 1.8961430327440576e-05, + "loss": 0.3585, + "step": 22886 + }, + { + "epoch": 0.8, + "learning_rate": 1.8954985065730403e-05, + "loss": 0.4481, + "step": 22887 + }, + { + "epoch": 0.8, + "learning_rate": 1.8948540784935098e-05, + "loss": 0.4, + "step": 22888 + }, + { + "epoch": 0.8, + "learning_rate": 1.8942097485132626e-05, + "loss": 0.4707, + "step": 22889 + }, + { + "epoch": 0.8, + "learning_rate": 1.8935655166400977e-05, + "loss": 0.4688, + "step": 22890 + }, + { + "epoch": 0.8, + "learning_rate": 1.8929213828818128e-05, + "loss": 0.502, + "step": 22891 + }, + { + "epoch": 0.8, + "learning_rate": 1.892277347246201e-05, + "loss": 0.4964, + "step": 22892 + }, + { + "epoch": 0.8, + "learning_rate": 1.8916334097410625e-05, + "loss": 0.4172, + "step": 22893 + }, + { + "epoch": 0.8, + "learning_rate": 1.8909895703741888e-05, + "loss": 0.4602, + "step": 22894 + }, + { + "epoch": 0.8, + "learning_rate": 1.8903458291533715e-05, + "loss": 0.4303, + "step": 22895 + }, + { + "epoch": 0.8, + "learning_rate": 1.889702186086404e-05, + "loss": 0.4348, + "step": 22896 + }, + { + "epoch": 0.8, + "learning_rate": 1.889058641181072e-05, + "loss": 0.4652, + "step": 22897 + }, + { + "epoch": 0.8, + "learning_rate": 1.88841519444517e-05, + "loss": 0.4742, + "step": 22898 + }, + { + "epoch": 0.8, + "learning_rate": 1.8877718458864846e-05, + "loss": 0.4053, + "step": 22899 + }, + { + "epoch": 0.8, + "learning_rate": 1.8871285955128005e-05, + "loss": 0.4051, + "step": 22900 + }, + { + "epoch": 0.8, + "learning_rate": 1.8864854433319058e-05, + "loss": 0.4509, + "step": 22901 + }, + { + "epoch": 0.8, + "learning_rate": 1.8858423893515786e-05, + "loss": 0.4464, + "step": 22902 + }, + { + "epoch": 0.8, + "learning_rate": 1.8851994335796107e-05, + "loss": 0.427, + "step": 22903 + }, + { + "epoch": 0.8, + "learning_rate": 1.8845565760237792e-05, + "loss": 0.4203, + "step": 22904 + }, + { + "epoch": 0.8, + "learning_rate": 1.883913816691867e-05, + "loss": 0.3931, + "step": 22905 + }, + { + "epoch": 0.8, + "learning_rate": 1.8832711555916506e-05, + "loss": 0.4831, + "step": 22906 + }, + { + "epoch": 0.8, + "learning_rate": 1.8826285927309108e-05, + "loss": 0.4115, + "step": 22907 + }, + { + "epoch": 0.8, + "learning_rate": 1.8819861281174212e-05, + "loss": 0.406, + "step": 22908 + }, + { + "epoch": 0.8, + "learning_rate": 1.8813437617589624e-05, + "loss": 0.4973, + "step": 22909 + }, + { + "epoch": 0.8, + "learning_rate": 1.880701493663307e-05, + "loss": 0.4436, + "step": 22910 + }, + { + "epoch": 0.8, + "learning_rate": 1.8800593238382304e-05, + "loss": 0.476, + "step": 22911 + }, + { + "epoch": 0.8, + "learning_rate": 1.879417252291502e-05, + "loss": 0.3906, + "step": 22912 + }, + { + "epoch": 0.8, + "learning_rate": 1.878775279030892e-05, + "loss": 0.4354, + "step": 22913 + }, + { + "epoch": 0.8, + "learning_rate": 1.878133404064176e-05, + "loss": 0.4232, + "step": 22914 + }, + { + "epoch": 0.8, + "learning_rate": 1.8774916273991193e-05, + "loss": 0.517, + "step": 22915 + }, + { + "epoch": 0.8, + "learning_rate": 1.8768499490434898e-05, + "loss": 0.4306, + "step": 22916 + }, + { + "epoch": 0.8, + "learning_rate": 1.8762083690050537e-05, + "loss": 0.3701, + "step": 22917 + }, + { + "epoch": 0.8, + "learning_rate": 1.8755668872915743e-05, + "loss": 0.4079, + "step": 22918 + }, + { + "epoch": 0.8, + "learning_rate": 1.8749255039108216e-05, + "loss": 0.4431, + "step": 22919 + }, + { + "epoch": 0.8, + "learning_rate": 1.8742842188705535e-05, + "loss": 0.3791, + "step": 22920 + }, + { + "epoch": 0.8, + "learning_rate": 1.8736430321785338e-05, + "loss": 0.4177, + "step": 22921 + }, + { + "epoch": 0.8, + "learning_rate": 1.8730019438425216e-05, + "loss": 0.4434, + "step": 22922 + }, + { + "epoch": 0.8, + "learning_rate": 1.8723609538702745e-05, + "loss": 0.4131, + "step": 22923 + }, + { + "epoch": 0.8, + "learning_rate": 1.871720062269555e-05, + "loss": 0.3584, + "step": 22924 + }, + { + "epoch": 0.8, + "learning_rate": 1.8710792690481183e-05, + "loss": 0.4299, + "step": 22925 + }, + { + "epoch": 0.8, + "learning_rate": 1.87043857421372e-05, + "loss": 0.4147, + "step": 22926 + }, + { + "epoch": 0.8, + "learning_rate": 1.8697979777741148e-05, + "loss": 0.4798, + "step": 22927 + }, + { + "epoch": 0.8, + "learning_rate": 1.8691574797370526e-05, + "loss": 0.4613, + "step": 22928 + }, + { + "epoch": 0.8, + "learning_rate": 1.8685170801102914e-05, + "loss": 0.3866, + "step": 22929 + }, + { + "epoch": 0.8, + "learning_rate": 1.8678767789015793e-05, + "loss": 0.4191, + "step": 22930 + }, + { + "epoch": 0.8, + "learning_rate": 1.867236576118666e-05, + "loss": 0.4069, + "step": 22931 + }, + { + "epoch": 0.8, + "learning_rate": 1.8665964717693007e-05, + "loss": 0.3915, + "step": 22932 + }, + { + "epoch": 0.8, + "learning_rate": 1.8659564658612272e-05, + "loss": 0.4737, + "step": 22933 + }, + { + "epoch": 0.8, + "learning_rate": 1.865316558402198e-05, + "loss": 0.4184, + "step": 22934 + }, + { + "epoch": 0.8, + "learning_rate": 1.864676749399955e-05, + "loss": 0.3344, + "step": 22935 + }, + { + "epoch": 0.8, + "learning_rate": 1.864037038862242e-05, + "loss": 0.4123, + "step": 22936 + }, + { + "epoch": 0.8, + "learning_rate": 1.8633974267968014e-05, + "loss": 0.4566, + "step": 22937 + }, + { + "epoch": 0.8, + "learning_rate": 1.862757913211375e-05, + "loss": 0.383, + "step": 22938 + }, + { + "epoch": 0.8, + "learning_rate": 1.8621184981137006e-05, + "loss": 0.4399, + "step": 22939 + }, + { + "epoch": 0.8, + "learning_rate": 1.8614791815115217e-05, + "loss": 0.4221, + "step": 22940 + }, + { + "epoch": 0.8, + "learning_rate": 1.860839963412575e-05, + "loss": 0.4439, + "step": 22941 + }, + { + "epoch": 0.8, + "learning_rate": 1.8602008438245954e-05, + "loss": 0.5027, + "step": 22942 + }, + { + "epoch": 0.8, + "learning_rate": 1.859561822755319e-05, + "loss": 0.4261, + "step": 22943 + }, + { + "epoch": 0.8, + "learning_rate": 1.8589229002124786e-05, + "loss": 0.4229, + "step": 22944 + }, + { + "epoch": 0.8, + "learning_rate": 1.858284076203811e-05, + "loss": 0.4439, + "step": 22945 + }, + { + "epoch": 0.8, + "learning_rate": 1.857645350737046e-05, + "loss": 0.4743, + "step": 22946 + }, + { + "epoch": 0.8, + "learning_rate": 1.857006723819914e-05, + "loss": 0.4968, + "step": 22947 + }, + { + "epoch": 0.8, + "learning_rate": 1.8563681954601454e-05, + "loss": 0.3862, + "step": 22948 + }, + { + "epoch": 0.8, + "learning_rate": 1.855729765665466e-05, + "loss": 0.4591, + "step": 22949 + }, + { + "epoch": 0.8, + "learning_rate": 1.8550914344436065e-05, + "loss": 0.368, + "step": 22950 + }, + { + "epoch": 0.8, + "learning_rate": 1.854453201802292e-05, + "loss": 0.4635, + "step": 22951 + }, + { + "epoch": 0.8, + "learning_rate": 1.853815067749246e-05, + "loss": 0.5125, + "step": 22952 + }, + { + "epoch": 0.8, + "learning_rate": 1.853177032292194e-05, + "loss": 0.3873, + "step": 22953 + }, + { + "epoch": 0.8, + "learning_rate": 1.8525390954388522e-05, + "loss": 0.4592, + "step": 22954 + }, + { + "epoch": 0.8, + "learning_rate": 1.8519012571969507e-05, + "loss": 0.4167, + "step": 22955 + }, + { + "epoch": 0.8, + "learning_rate": 1.8512635175742042e-05, + "loss": 0.4036, + "step": 22956 + }, + { + "epoch": 0.8, + "learning_rate": 1.8506258765783336e-05, + "loss": 0.3822, + "step": 22957 + }, + { + "epoch": 0.8, + "learning_rate": 1.8499883342170542e-05, + "loss": 0.3596, + "step": 22958 + }, + { + "epoch": 0.8, + "learning_rate": 1.8493508904980816e-05, + "loss": 0.4605, + "step": 22959 + }, + { + "epoch": 0.8, + "learning_rate": 1.848713545429136e-05, + "loss": 0.3703, + "step": 22960 + }, + { + "epoch": 0.8, + "learning_rate": 1.848076299017928e-05, + "loss": 0.417, + "step": 22961 + }, + { + "epoch": 0.8, + "learning_rate": 1.847439151272171e-05, + "loss": 0.3961, + "step": 22962 + }, + { + "epoch": 0.8, + "learning_rate": 1.8468021021995763e-05, + "loss": 0.347, + "step": 22963 + }, + { + "epoch": 0.8, + "learning_rate": 1.8461651518078516e-05, + "loss": 0.4144, + "step": 22964 + }, + { + "epoch": 0.8, + "learning_rate": 1.845528300104712e-05, + "loss": 0.3914, + "step": 22965 + }, + { + "epoch": 0.8, + "learning_rate": 1.8448915470978623e-05, + "loss": 0.4442, + "step": 22966 + }, + { + "epoch": 0.8, + "learning_rate": 1.84425489279501e-05, + "loss": 0.4326, + "step": 22967 + }, + { + "epoch": 0.8, + "learning_rate": 1.8436183372038597e-05, + "loss": 0.4024, + "step": 22968 + }, + { + "epoch": 0.8, + "learning_rate": 1.8429818803321165e-05, + "loss": 0.443, + "step": 22969 + }, + { + "epoch": 0.8, + "learning_rate": 1.842345522187481e-05, + "loss": 0.5004, + "step": 22970 + }, + { + "epoch": 0.8, + "learning_rate": 1.84170926277766e-05, + "loss": 0.4191, + "step": 22971 + }, + { + "epoch": 0.8, + "learning_rate": 1.8410731021103522e-05, + "loss": 0.4378, + "step": 22972 + }, + { + "epoch": 0.8, + "learning_rate": 1.840437040193258e-05, + "loss": 0.4091, + "step": 22973 + }, + { + "epoch": 0.8, + "learning_rate": 1.8398010770340744e-05, + "loss": 0.3858, + "step": 22974 + }, + { + "epoch": 0.8, + "learning_rate": 1.839165212640498e-05, + "loss": 0.4046, + "step": 22975 + }, + { + "epoch": 0.8, + "learning_rate": 1.8385294470202275e-05, + "loss": 0.4193, + "step": 22976 + }, + { + "epoch": 0.8, + "learning_rate": 1.837893780180957e-05, + "loss": 0.3473, + "step": 22977 + }, + { + "epoch": 0.8, + "learning_rate": 1.8372582121303793e-05, + "loss": 0.4865, + "step": 22978 + }, + { + "epoch": 0.8, + "learning_rate": 1.8366227428761885e-05, + "loss": 0.5113, + "step": 22979 + }, + { + "epoch": 0.8, + "learning_rate": 1.8359873724260712e-05, + "loss": 0.4207, + "step": 22980 + }, + { + "epoch": 0.8, + "learning_rate": 1.8353521007877237e-05, + "loss": 0.4033, + "step": 22981 + }, + { + "epoch": 0.8, + "learning_rate": 1.8347169279688326e-05, + "loss": 0.3748, + "step": 22982 + }, + { + "epoch": 0.8, + "learning_rate": 1.8340818539770843e-05, + "loss": 0.3912, + "step": 22983 + }, + { + "epoch": 0.8, + "learning_rate": 1.8334468788201675e-05, + "loss": 0.4528, + "step": 22984 + }, + { + "epoch": 0.8, + "learning_rate": 1.8328120025057626e-05, + "loss": 0.4111, + "step": 22985 + }, + { + "epoch": 0.8, + "learning_rate": 1.8321772250415602e-05, + "loss": 0.412, + "step": 22986 + }, + { + "epoch": 0.8, + "learning_rate": 1.8315425464352433e-05, + "loss": 0.4833, + "step": 22987 + }, + { + "epoch": 0.8, + "learning_rate": 1.8309079666944883e-05, + "loss": 0.4274, + "step": 22988 + }, + { + "epoch": 0.8, + "learning_rate": 1.8302734858269754e-05, + "loss": 0.4098, + "step": 22989 + }, + { + "epoch": 0.8, + "learning_rate": 1.8296391038403893e-05, + "loss": 0.4893, + "step": 22990 + }, + { + "epoch": 0.8, + "learning_rate": 1.829004820742406e-05, + "loss": 0.3907, + "step": 22991 + }, + { + "epoch": 0.8, + "learning_rate": 1.8283706365407004e-05, + "loss": 0.4791, + "step": 22992 + }, + { + "epoch": 0.8, + "learning_rate": 1.8277365512429512e-05, + "loss": 0.3899, + "step": 22993 + }, + { + "epoch": 0.8, + "learning_rate": 1.8271025648568286e-05, + "loss": 0.4277, + "step": 22994 + }, + { + "epoch": 0.8, + "learning_rate": 1.826468677390012e-05, + "loss": 0.4442, + "step": 22995 + }, + { + "epoch": 0.8, + "learning_rate": 1.8258348888501697e-05, + "loss": 0.4163, + "step": 22996 + }, + { + "epoch": 0.8, + "learning_rate": 1.8252011992449735e-05, + "loss": 0.4156, + "step": 22997 + }, + { + "epoch": 0.8, + "learning_rate": 1.824567608582094e-05, + "loss": 0.4143, + "step": 22998 + }, + { + "epoch": 0.8, + "learning_rate": 1.8239341168691947e-05, + "loss": 0.3941, + "step": 22999 + }, + { + "epoch": 0.8, + "learning_rate": 1.823300724113951e-05, + "loss": 0.3856, + "step": 23000 + }, + { + "epoch": 0.8, + "eval_loss": 0.41282618045806885, + "eval_runtime": 846.2056, + "eval_samples_per_second": 28.433, + "eval_steps_per_second": 14.216, + "step": 23000 + }, + { + "epoch": 0.8, + "learning_rate": 1.8226674303240243e-05, + "loss": 0.4699, + "step": 23001 + }, + { + "epoch": 0.8, + "learning_rate": 1.8220342355070808e-05, + "loss": 0.4653, + "step": 23002 + }, + { + "epoch": 0.8, + "learning_rate": 1.8214011396707842e-05, + "loss": 0.3773, + "step": 23003 + }, + { + "epoch": 0.8, + "learning_rate": 1.8207681428227962e-05, + "loss": 0.4806, + "step": 23004 + }, + { + "epoch": 0.81, + "learning_rate": 1.8201352449707766e-05, + "loss": 0.4781, + "step": 23005 + }, + { + "epoch": 0.81, + "learning_rate": 1.8195024461223897e-05, + "loss": 0.4553, + "step": 23006 + }, + { + "epoch": 0.81, + "learning_rate": 1.8188697462852934e-05, + "loss": 0.3764, + "step": 23007 + }, + { + "epoch": 0.81, + "learning_rate": 1.818237145467143e-05, + "loss": 0.4341, + "step": 23008 + }, + { + "epoch": 0.81, + "learning_rate": 1.8176046436755988e-05, + "loss": 0.3815, + "step": 23009 + }, + { + "epoch": 0.81, + "learning_rate": 1.8169722409183097e-05, + "loss": 0.4418, + "step": 23010 + }, + { + "epoch": 0.81, + "learning_rate": 1.8163399372029376e-05, + "loss": 0.4675, + "step": 23011 + }, + { + "epoch": 0.81, + "learning_rate": 1.8157077325371318e-05, + "loss": 0.4832, + "step": 23012 + }, + { + "epoch": 0.81, + "learning_rate": 1.815075626928544e-05, + "loss": 0.3953, + "step": 23013 + }, + { + "epoch": 0.81, + "learning_rate": 1.8144436203848257e-05, + "loss": 0.4478, + "step": 23014 + }, + { + "epoch": 0.81, + "learning_rate": 1.8138117129136232e-05, + "loss": 0.3853, + "step": 23015 + }, + { + "epoch": 0.81, + "learning_rate": 1.8131799045225893e-05, + "loss": 0.4831, + "step": 23016 + }, + { + "epoch": 0.81, + "learning_rate": 1.812548195219369e-05, + "loss": 0.3785, + "step": 23017 + }, + { + "epoch": 0.81, + "learning_rate": 1.811916585011608e-05, + "loss": 0.5717, + "step": 23018 + }, + { + "epoch": 0.81, + "learning_rate": 1.811285073906952e-05, + "loss": 0.5406, + "step": 23019 + }, + { + "epoch": 0.81, + "learning_rate": 1.81065366191304e-05, + "loss": 0.5322, + "step": 23020 + }, + { + "epoch": 0.81, + "learning_rate": 1.810022349037519e-05, + "loss": 0.3224, + "step": 23021 + }, + { + "epoch": 0.81, + "learning_rate": 1.80939113528803e-05, + "loss": 0.4249, + "step": 23022 + }, + { + "epoch": 0.81, + "learning_rate": 1.80876002067221e-05, + "loss": 0.3848, + "step": 23023 + }, + { + "epoch": 0.81, + "learning_rate": 1.8081290051976996e-05, + "loss": 0.5075, + "step": 23024 + }, + { + "epoch": 0.81, + "learning_rate": 1.8074980888721328e-05, + "loss": 0.4348, + "step": 23025 + }, + { + "epoch": 0.81, + "learning_rate": 1.8068672717031508e-05, + "loss": 0.3691, + "step": 23026 + }, + { + "epoch": 0.81, + "learning_rate": 1.806236553698386e-05, + "loss": 0.3624, + "step": 23027 + }, + { + "epoch": 0.81, + "learning_rate": 1.805605934865473e-05, + "loss": 0.4334, + "step": 23028 + }, + { + "epoch": 0.81, + "learning_rate": 1.8049754152120435e-05, + "loss": 0.4237, + "step": 23029 + }, + { + "epoch": 0.81, + "learning_rate": 1.804344994745727e-05, + "loss": 0.392, + "step": 23030 + }, + { + "epoch": 0.81, + "learning_rate": 1.8037146734741572e-05, + "loss": 0.4076, + "step": 23031 + }, + { + "epoch": 0.81, + "learning_rate": 1.803084451404963e-05, + "loss": 0.3595, + "step": 23032 + }, + { + "epoch": 0.81, + "learning_rate": 1.8024543285457707e-05, + "loss": 0.5786, + "step": 23033 + }, + { + "epoch": 0.81, + "learning_rate": 1.801824304904206e-05, + "loss": 0.4478, + "step": 23034 + }, + { + "epoch": 0.81, + "learning_rate": 1.801194380487894e-05, + "loss": 0.4225, + "step": 23035 + }, + { + "epoch": 0.81, + "learning_rate": 1.8005645553044626e-05, + "loss": 0.3735, + "step": 23036 + }, + { + "epoch": 0.81, + "learning_rate": 1.7999348293615325e-05, + "loss": 0.4793, + "step": 23037 + }, + { + "epoch": 0.81, + "learning_rate": 1.7993052026667258e-05, + "loss": 0.4135, + "step": 23038 + }, + { + "epoch": 0.81, + "learning_rate": 1.7986756752276623e-05, + "loss": 0.5275, + "step": 23039 + }, + { + "epoch": 0.81, + "learning_rate": 1.798046247051962e-05, + "loss": 0.3539, + "step": 23040 + }, + { + "epoch": 0.81, + "learning_rate": 1.797416918147241e-05, + "loss": 0.3841, + "step": 23041 + }, + { + "epoch": 0.81, + "learning_rate": 1.7967876885211198e-05, + "loss": 0.3676, + "step": 23042 + }, + { + "epoch": 0.81, + "learning_rate": 1.7961585581812125e-05, + "loss": 0.4717, + "step": 23043 + }, + { + "epoch": 0.81, + "learning_rate": 1.7955295271351345e-05, + "loss": 0.3557, + "step": 23044 + }, + { + "epoch": 0.81, + "learning_rate": 1.7949005953904975e-05, + "loss": 0.3952, + "step": 23045 + }, + { + "epoch": 0.81, + "learning_rate": 1.7942717629549134e-05, + "loss": 0.421, + "step": 23046 + }, + { + "epoch": 0.81, + "learning_rate": 1.793643029835995e-05, + "loss": 0.4646, + "step": 23047 + }, + { + "epoch": 0.81, + "learning_rate": 1.7930143960413526e-05, + "loss": 0.4294, + "step": 23048 + }, + { + "epoch": 0.81, + "learning_rate": 1.7923858615785937e-05, + "loss": 0.434, + "step": 23049 + }, + { + "epoch": 0.81, + "learning_rate": 1.791757426455325e-05, + "loss": 0.3911, + "step": 23050 + }, + { + "epoch": 0.81, + "learning_rate": 1.791129090679151e-05, + "loss": 0.4891, + "step": 23051 + }, + { + "epoch": 0.81, + "learning_rate": 1.7905008542576818e-05, + "loss": 0.3848, + "step": 23052 + }, + { + "epoch": 0.81, + "learning_rate": 1.7898727171985174e-05, + "loss": 0.4926, + "step": 23053 + }, + { + "epoch": 0.81, + "learning_rate": 1.789244679509262e-05, + "loss": 0.3553, + "step": 23054 + }, + { + "epoch": 0.81, + "learning_rate": 1.7886167411975153e-05, + "loss": 0.3878, + "step": 23055 + }, + { + "epoch": 0.81, + "learning_rate": 1.787988902270876e-05, + "loss": 0.4116, + "step": 23056 + }, + { + "epoch": 0.81, + "learning_rate": 1.787361162736948e-05, + "loss": 0.4585, + "step": 23057 + }, + { + "epoch": 0.81, + "learning_rate": 1.7867335226033266e-05, + "loss": 0.4483, + "step": 23058 + }, + { + "epoch": 0.81, + "learning_rate": 1.7861059818776083e-05, + "loss": 0.4211, + "step": 23059 + }, + { + "epoch": 0.81, + "learning_rate": 1.785478540567387e-05, + "loss": 0.4708, + "step": 23060 + }, + { + "epoch": 0.81, + "learning_rate": 1.7848511986802562e-05, + "loss": 0.3868, + "step": 23061 + }, + { + "epoch": 0.81, + "learning_rate": 1.784223956223814e-05, + "loss": 0.4668, + "step": 23062 + }, + { + "epoch": 0.81, + "learning_rate": 1.783596813205648e-05, + "loss": 0.3989, + "step": 23063 + }, + { + "epoch": 0.81, + "learning_rate": 1.7829697696333492e-05, + "loss": 0.4834, + "step": 23064 + }, + { + "epoch": 0.81, + "learning_rate": 1.782342825514508e-05, + "loss": 0.4252, + "step": 23065 + }, + { + "epoch": 0.81, + "learning_rate": 1.7817159808567084e-05, + "loss": 0.4225, + "step": 23066 + }, + { + "epoch": 0.81, + "learning_rate": 1.7810892356675434e-05, + "loss": 0.4536, + "step": 23067 + }, + { + "epoch": 0.81, + "learning_rate": 1.780462589954597e-05, + "loss": 0.4636, + "step": 23068 + }, + { + "epoch": 0.81, + "learning_rate": 1.7798360437254514e-05, + "loss": 0.4222, + "step": 23069 + }, + { + "epoch": 0.81, + "learning_rate": 1.779209596987692e-05, + "loss": 0.5081, + "step": 23070 + }, + { + "epoch": 0.81, + "learning_rate": 1.7785832497488995e-05, + "loss": 0.4086, + "step": 23071 + }, + { + "epoch": 0.81, + "learning_rate": 1.7779570020166536e-05, + "loss": 0.4484, + "step": 23072 + }, + { + "epoch": 0.81, + "learning_rate": 1.7773308537985377e-05, + "loss": 0.3776, + "step": 23073 + }, + { + "epoch": 0.81, + "learning_rate": 1.7767048051021283e-05, + "loss": 0.3221, + "step": 23074 + }, + { + "epoch": 0.81, + "learning_rate": 1.7760788559350026e-05, + "loss": 0.4361, + "step": 23075 + }, + { + "epoch": 0.81, + "learning_rate": 1.775453006304737e-05, + "loss": 0.3597, + "step": 23076 + }, + { + "epoch": 0.81, + "learning_rate": 1.774827256218904e-05, + "loss": 0.4437, + "step": 23077 + }, + { + "epoch": 0.81, + "learning_rate": 1.7742016056850806e-05, + "loss": 0.4134, + "step": 23078 + }, + { + "epoch": 0.81, + "learning_rate": 1.7735760547108394e-05, + "loss": 0.4408, + "step": 23079 + }, + { + "epoch": 0.81, + "learning_rate": 1.77295060330375e-05, + "loss": 0.4006, + "step": 23080 + }, + { + "epoch": 0.81, + "learning_rate": 1.772325251471383e-05, + "loss": 0.3889, + "step": 23081 + }, + { + "epoch": 0.81, + "learning_rate": 1.7716999992213036e-05, + "loss": 0.3752, + "step": 23082 + }, + { + "epoch": 0.81, + "learning_rate": 1.771074846561086e-05, + "loss": 0.4585, + "step": 23083 + }, + { + "epoch": 0.81, + "learning_rate": 1.7704497934982934e-05, + "loss": 0.373, + "step": 23084 + }, + { + "epoch": 0.81, + "learning_rate": 1.7698248400404906e-05, + "loss": 0.4961, + "step": 23085 + }, + { + "epoch": 0.81, + "learning_rate": 1.7691999861952423e-05, + "loss": 0.3434, + "step": 23086 + }, + { + "epoch": 0.81, + "learning_rate": 1.7685752319701088e-05, + "loss": 0.4716, + "step": 23087 + }, + { + "epoch": 0.81, + "learning_rate": 1.767950577372657e-05, + "loss": 0.56, + "step": 23088 + }, + { + "epoch": 0.81, + "learning_rate": 1.7673260224104436e-05, + "loss": 0.5054, + "step": 23089 + }, + { + "epoch": 0.81, + "learning_rate": 1.766701567091029e-05, + "loss": 0.3933, + "step": 23090 + }, + { + "epoch": 0.81, + "learning_rate": 1.7660772114219705e-05, + "loss": 0.4542, + "step": 23091 + }, + { + "epoch": 0.81, + "learning_rate": 1.7654529554108233e-05, + "loss": 0.4717, + "step": 23092 + }, + { + "epoch": 0.81, + "learning_rate": 1.764828799065147e-05, + "loss": 0.4161, + "step": 23093 + }, + { + "epoch": 0.81, + "learning_rate": 1.7642047423924933e-05, + "loss": 0.4635, + "step": 23094 + }, + { + "epoch": 0.81, + "learning_rate": 1.763580785400416e-05, + "loss": 0.4111, + "step": 23095 + }, + { + "epoch": 0.81, + "learning_rate": 1.7629569280964664e-05, + "loss": 0.4701, + "step": 23096 + }, + { + "epoch": 0.81, + "learning_rate": 1.762333170488194e-05, + "loss": 0.4373, + "step": 23097 + }, + { + "epoch": 0.81, + "learning_rate": 1.761709512583152e-05, + "loss": 0.4638, + "step": 23098 + }, + { + "epoch": 0.81, + "learning_rate": 1.761085954388887e-05, + "loss": 0.3767, + "step": 23099 + }, + { + "epoch": 0.81, + "learning_rate": 1.7604624959129467e-05, + "loss": 0.4422, + "step": 23100 + }, + { + "epoch": 0.81, + "learning_rate": 1.7598391371628753e-05, + "loss": 0.42, + "step": 23101 + }, + { + "epoch": 0.81, + "learning_rate": 1.7592158781462164e-05, + "loss": 0.3031, + "step": 23102 + }, + { + "epoch": 0.81, + "learning_rate": 1.7585927188705176e-05, + "loss": 0.3632, + "step": 23103 + }, + { + "epoch": 0.81, + "learning_rate": 1.7579696593433203e-05, + "loss": 0.3841, + "step": 23104 + }, + { + "epoch": 0.81, + "learning_rate": 1.7573466995721633e-05, + "loss": 0.3668, + "step": 23105 + }, + { + "epoch": 0.81, + "learning_rate": 1.7567238395645892e-05, + "loss": 0.4345, + "step": 23106 + }, + { + "epoch": 0.81, + "learning_rate": 1.7561010793281342e-05, + "loss": 0.4241, + "step": 23107 + }, + { + "epoch": 0.81, + "learning_rate": 1.7554784188703345e-05, + "loss": 0.3945, + "step": 23108 + }, + { + "epoch": 0.81, + "learning_rate": 1.7548558581987307e-05, + "loss": 0.431, + "step": 23109 + }, + { + "epoch": 0.81, + "learning_rate": 1.7542333973208557e-05, + "loss": 0.4355, + "step": 23110 + }, + { + "epoch": 0.81, + "learning_rate": 1.7536110362442437e-05, + "loss": 0.4593, + "step": 23111 + }, + { + "epoch": 0.81, + "learning_rate": 1.7529887749764272e-05, + "loss": 0.3819, + "step": 23112 + }, + { + "epoch": 0.81, + "learning_rate": 1.7523666135249362e-05, + "loss": 0.4237, + "step": 23113 + }, + { + "epoch": 0.81, + "learning_rate": 1.751744551897303e-05, + "loss": 0.4231, + "step": 23114 + }, + { + "epoch": 0.81, + "learning_rate": 1.7511225901010563e-05, + "loss": 0.408, + "step": 23115 + }, + { + "epoch": 0.81, + "learning_rate": 1.7505007281437236e-05, + "loss": 0.4385, + "step": 23116 + }, + { + "epoch": 0.81, + "learning_rate": 1.7498789660328318e-05, + "loss": 0.4412, + "step": 23117 + }, + { + "epoch": 0.81, + "learning_rate": 1.749257303775903e-05, + "loss": 0.4715, + "step": 23118 + }, + { + "epoch": 0.81, + "learning_rate": 1.7486357413804666e-05, + "loss": 0.4338, + "step": 23119 + }, + { + "epoch": 0.81, + "learning_rate": 1.7480142788540434e-05, + "loss": 0.4055, + "step": 23120 + }, + { + "epoch": 0.81, + "learning_rate": 1.747392916204158e-05, + "loss": 0.4526, + "step": 23121 + }, + { + "epoch": 0.81, + "learning_rate": 1.7467716534383226e-05, + "loss": 0.409, + "step": 23122 + }, + { + "epoch": 0.81, + "learning_rate": 1.7461504905640634e-05, + "loss": 0.4754, + "step": 23123 + }, + { + "epoch": 0.81, + "learning_rate": 1.745529427588899e-05, + "loss": 0.4338, + "step": 23124 + }, + { + "epoch": 0.81, + "learning_rate": 1.744908464520343e-05, + "loss": 0.369, + "step": 23125 + }, + { + "epoch": 0.81, + "learning_rate": 1.7442876013659128e-05, + "loss": 0.4689, + "step": 23126 + }, + { + "epoch": 0.81, + "learning_rate": 1.74366683813312e-05, + "loss": 0.4133, + "step": 23127 + }, + { + "epoch": 0.81, + "learning_rate": 1.7430461748294833e-05, + "loss": 0.436, + "step": 23128 + }, + { + "epoch": 0.81, + "learning_rate": 1.7424256114625115e-05, + "loss": 0.4438, + "step": 23129 + }, + { + "epoch": 0.81, + "learning_rate": 1.741805148039717e-05, + "loss": 0.5293, + "step": 23130 + }, + { + "epoch": 0.81, + "learning_rate": 1.741184784568608e-05, + "loss": 0.4711, + "step": 23131 + }, + { + "epoch": 0.81, + "learning_rate": 1.7405645210566913e-05, + "loss": 0.4555, + "step": 23132 + }, + { + "epoch": 0.81, + "learning_rate": 1.739944357511478e-05, + "loss": 0.404, + "step": 23133 + }, + { + "epoch": 0.81, + "learning_rate": 1.739324293940473e-05, + "loss": 0.4101, + "step": 23134 + }, + { + "epoch": 0.81, + "learning_rate": 1.7387043303511806e-05, + "loss": 0.4579, + "step": 23135 + }, + { + "epoch": 0.81, + "learning_rate": 1.738084466751104e-05, + "loss": 0.4738, + "step": 23136 + }, + { + "epoch": 0.81, + "learning_rate": 1.737464703147744e-05, + "loss": 0.4793, + "step": 23137 + }, + { + "epoch": 0.81, + "learning_rate": 1.7368450395486058e-05, + "loss": 0.3826, + "step": 23138 + }, + { + "epoch": 0.81, + "learning_rate": 1.7362254759611885e-05, + "loss": 0.5142, + "step": 23139 + }, + { + "epoch": 0.81, + "learning_rate": 1.7356060123929884e-05, + "loss": 0.4118, + "step": 23140 + }, + { + "epoch": 0.81, + "learning_rate": 1.7349866488515053e-05, + "loss": 0.4464, + "step": 23141 + }, + { + "epoch": 0.81, + "learning_rate": 1.7343673853442345e-05, + "loss": 0.4695, + "step": 23142 + }, + { + "epoch": 0.81, + "learning_rate": 1.7337482218786695e-05, + "loss": 0.3896, + "step": 23143 + }, + { + "epoch": 0.81, + "learning_rate": 1.733129158462308e-05, + "loss": 0.4536, + "step": 23144 + }, + { + "epoch": 0.81, + "learning_rate": 1.732510195102641e-05, + "loss": 0.4065, + "step": 23145 + }, + { + "epoch": 0.81, + "learning_rate": 1.7318913318071605e-05, + "loss": 0.5154, + "step": 23146 + }, + { + "epoch": 0.81, + "learning_rate": 1.7312725685833554e-05, + "loss": 0.4146, + "step": 23147 + }, + { + "epoch": 0.81, + "learning_rate": 1.730653905438714e-05, + "loss": 0.4944, + "step": 23148 + }, + { + "epoch": 0.81, + "learning_rate": 1.730035342380727e-05, + "loss": 0.4196, + "step": 23149 + }, + { + "epoch": 0.81, + "learning_rate": 1.7294168794168808e-05, + "loss": 0.5027, + "step": 23150 + }, + { + "epoch": 0.81, + "learning_rate": 1.7287985165546593e-05, + "loss": 0.4215, + "step": 23151 + }, + { + "epoch": 0.81, + "learning_rate": 1.728180253801548e-05, + "loss": 0.3876, + "step": 23152 + }, + { + "epoch": 0.81, + "learning_rate": 1.727562091165027e-05, + "loss": 0.4191, + "step": 23153 + }, + { + "epoch": 0.81, + "learning_rate": 1.726944028652583e-05, + "loss": 0.4055, + "step": 23154 + }, + { + "epoch": 0.81, + "learning_rate": 1.726326066271693e-05, + "loss": 0.3677, + "step": 23155 + }, + { + "epoch": 0.81, + "learning_rate": 1.725708204029839e-05, + "loss": 0.4826, + "step": 23156 + }, + { + "epoch": 0.81, + "learning_rate": 1.725090441934496e-05, + "loss": 0.4618, + "step": 23157 + }, + { + "epoch": 0.81, + "learning_rate": 1.7244727799931415e-05, + "loss": 0.4161, + "step": 23158 + }, + { + "epoch": 0.81, + "learning_rate": 1.7238552182132538e-05, + "loss": 0.4176, + "step": 23159 + }, + { + "epoch": 0.81, + "learning_rate": 1.7232377566023074e-05, + "loss": 0.3722, + "step": 23160 + }, + { + "epoch": 0.81, + "learning_rate": 1.722620395167773e-05, + "loss": 0.4729, + "step": 23161 + }, + { + "epoch": 0.81, + "learning_rate": 1.722003133917125e-05, + "loss": 0.3868, + "step": 23162 + }, + { + "epoch": 0.81, + "learning_rate": 1.721385972857831e-05, + "loss": 0.4793, + "step": 23163 + }, + { + "epoch": 0.81, + "learning_rate": 1.7207689119973646e-05, + "loss": 0.4264, + "step": 23164 + }, + { + "epoch": 0.81, + "learning_rate": 1.720151951343193e-05, + "loss": 0.41, + "step": 23165 + }, + { + "epoch": 0.81, + "learning_rate": 1.719535090902783e-05, + "loss": 0.41, + "step": 23166 + }, + { + "epoch": 0.81, + "learning_rate": 1.718918330683602e-05, + "loss": 0.4566, + "step": 23167 + }, + { + "epoch": 0.81, + "learning_rate": 1.718301670693111e-05, + "loss": 0.5274, + "step": 23168 + }, + { + "epoch": 0.81, + "learning_rate": 1.717685110938778e-05, + "loss": 0.3862, + "step": 23169 + }, + { + "epoch": 0.81, + "learning_rate": 1.717068651428064e-05, + "loss": 0.4424, + "step": 23170 + }, + { + "epoch": 0.81, + "learning_rate": 1.716452292168431e-05, + "loss": 0.3809, + "step": 23171 + }, + { + "epoch": 0.81, + "learning_rate": 1.7158360331673374e-05, + "loss": 0.4567, + "step": 23172 + }, + { + "epoch": 0.81, + "learning_rate": 1.7152198744322433e-05, + "loss": 0.4108, + "step": 23173 + }, + { + "epoch": 0.81, + "learning_rate": 1.7146038159706025e-05, + "loss": 0.3992, + "step": 23174 + }, + { + "epoch": 0.81, + "learning_rate": 1.713987857789877e-05, + "loss": 0.3648, + "step": 23175 + }, + { + "epoch": 0.81, + "learning_rate": 1.7133719998975195e-05, + "loss": 0.4051, + "step": 23176 + }, + { + "epoch": 0.81, + "learning_rate": 1.7127562423009834e-05, + "loss": 0.4151, + "step": 23177 + }, + { + "epoch": 0.81, + "learning_rate": 1.712140585007722e-05, + "loss": 0.4201, + "step": 23178 + }, + { + "epoch": 0.81, + "learning_rate": 1.711525028025185e-05, + "loss": 0.3668, + "step": 23179 + }, + { + "epoch": 0.81, + "learning_rate": 1.7109095713608268e-05, + "loss": 0.3141, + "step": 23180 + }, + { + "epoch": 0.81, + "learning_rate": 1.7102942150220934e-05, + "loss": 0.4441, + "step": 23181 + }, + { + "epoch": 0.81, + "learning_rate": 1.709678959016433e-05, + "loss": 0.4586, + "step": 23182 + }, + { + "epoch": 0.81, + "learning_rate": 1.709063803351294e-05, + "loss": 0.4845, + "step": 23183 + }, + { + "epoch": 0.81, + "learning_rate": 1.7084487480341173e-05, + "loss": 0.407, + "step": 23184 + }, + { + "epoch": 0.81, + "learning_rate": 1.707833793072352e-05, + "loss": 0.443, + "step": 23185 + }, + { + "epoch": 0.81, + "learning_rate": 1.7072189384734395e-05, + "loss": 0.4656, + "step": 23186 + }, + { + "epoch": 0.81, + "learning_rate": 1.706604184244822e-05, + "loss": 0.4132, + "step": 23187 + }, + { + "epoch": 0.81, + "learning_rate": 1.7059895303939388e-05, + "loss": 0.4263, + "step": 23188 + }, + { + "epoch": 0.81, + "learning_rate": 1.7053749769282278e-05, + "loss": 0.3895, + "step": 23189 + }, + { + "epoch": 0.81, + "learning_rate": 1.704760523855132e-05, + "loss": 0.4796, + "step": 23190 + }, + { + "epoch": 0.81, + "learning_rate": 1.704146171182086e-05, + "loss": 0.3438, + "step": 23191 + }, + { + "epoch": 0.81, + "learning_rate": 1.7035319189165244e-05, + "loss": 0.3906, + "step": 23192 + }, + { + "epoch": 0.81, + "learning_rate": 1.7029177670658824e-05, + "loss": 0.4123, + "step": 23193 + }, + { + "epoch": 0.81, + "learning_rate": 1.702303715637591e-05, + "loss": 0.4184, + "step": 23194 + }, + { + "epoch": 0.81, + "learning_rate": 1.7016897646390874e-05, + "loss": 0.3506, + "step": 23195 + }, + { + "epoch": 0.81, + "learning_rate": 1.7010759140778e-05, + "loss": 0.4005, + "step": 23196 + }, + { + "epoch": 0.81, + "learning_rate": 1.7004621639611574e-05, + "loss": 0.3815, + "step": 23197 + }, + { + "epoch": 0.81, + "learning_rate": 1.6998485142965882e-05, + "loss": 0.4438, + "step": 23198 + }, + { + "epoch": 0.81, + "learning_rate": 1.6992349650915185e-05, + "loss": 0.4761, + "step": 23199 + }, + { + "epoch": 0.81, + "learning_rate": 1.698621516353378e-05, + "loss": 0.4053, + "step": 23200 + }, + { + "epoch": 0.81, + "eval_loss": 0.4113035500049591, + "eval_runtime": 853.1364, + "eval_samples_per_second": 28.202, + "eval_steps_per_second": 14.101, + "step": 23200 + }, + { + "epoch": 0.81, + "learning_rate": 1.69800816808959e-05, + "loss": 0.4819, + "step": 23201 + }, + { + "epoch": 0.81, + "learning_rate": 1.6973949203075767e-05, + "loss": 0.3742, + "step": 23202 + }, + { + "epoch": 0.81, + "learning_rate": 1.696781773014762e-05, + "loss": 0.4119, + "step": 23203 + }, + { + "epoch": 0.81, + "learning_rate": 1.696168726218562e-05, + "loss": 0.3209, + "step": 23204 + }, + { + "epoch": 0.81, + "learning_rate": 1.6955557799264043e-05, + "loss": 0.375, + "step": 23205 + }, + { + "epoch": 0.81, + "learning_rate": 1.6949429341457047e-05, + "loss": 0.4142, + "step": 23206 + }, + { + "epoch": 0.81, + "learning_rate": 1.6943301888838804e-05, + "loss": 0.4568, + "step": 23207 + }, + { + "epoch": 0.81, + "learning_rate": 1.6937175441483455e-05, + "loss": 0.349, + "step": 23208 + }, + { + "epoch": 0.81, + "learning_rate": 1.6931049999465188e-05, + "loss": 0.4525, + "step": 23209 + }, + { + "epoch": 0.81, + "learning_rate": 1.6924925562858086e-05, + "loss": 0.4023, + "step": 23210 + }, + { + "epoch": 0.81, + "learning_rate": 1.6918802131736344e-05, + "loss": 0.4305, + "step": 23211 + }, + { + "epoch": 0.81, + "learning_rate": 1.691267970617404e-05, + "loss": 0.4525, + "step": 23212 + }, + { + "epoch": 0.81, + "learning_rate": 1.6906558286245278e-05, + "loss": 0.4246, + "step": 23213 + }, + { + "epoch": 0.81, + "learning_rate": 1.6900437872024146e-05, + "loss": 0.3774, + "step": 23214 + }, + { + "epoch": 0.81, + "learning_rate": 1.68943184635847e-05, + "loss": 0.5068, + "step": 23215 + }, + { + "epoch": 0.81, + "learning_rate": 1.688820006100106e-05, + "loss": 0.4558, + "step": 23216 + }, + { + "epoch": 0.81, + "learning_rate": 1.6882082664347242e-05, + "loss": 0.478, + "step": 23217 + }, + { + "epoch": 0.81, + "learning_rate": 1.6875966273697297e-05, + "loss": 0.3658, + "step": 23218 + }, + { + "epoch": 0.81, + "learning_rate": 1.686985088912524e-05, + "loss": 0.3578, + "step": 23219 + }, + { + "epoch": 0.81, + "learning_rate": 1.6863736510705086e-05, + "loss": 0.4063, + "step": 23220 + }, + { + "epoch": 0.81, + "learning_rate": 1.685762313851087e-05, + "loss": 0.4353, + "step": 23221 + }, + { + "epoch": 0.81, + "learning_rate": 1.6851510772616563e-05, + "loss": 0.4648, + "step": 23222 + }, + { + "epoch": 0.81, + "learning_rate": 1.6845399413096153e-05, + "loss": 0.4149, + "step": 23223 + }, + { + "epoch": 0.81, + "learning_rate": 1.683928906002359e-05, + "loss": 0.5241, + "step": 23224 + }, + { + "epoch": 0.81, + "learning_rate": 1.6833179713472825e-05, + "loss": 0.5278, + "step": 23225 + }, + { + "epoch": 0.81, + "learning_rate": 1.6827071373517844e-05, + "loss": 0.4163, + "step": 23226 + }, + { + "epoch": 0.81, + "learning_rate": 1.6820964040232556e-05, + "loss": 0.4158, + "step": 23227 + }, + { + "epoch": 0.81, + "learning_rate": 1.681485771369087e-05, + "loss": 0.4008, + "step": 23228 + }, + { + "epoch": 0.81, + "learning_rate": 1.68087523939667e-05, + "loss": 0.3987, + "step": 23229 + }, + { + "epoch": 0.81, + "learning_rate": 1.680264808113391e-05, + "loss": 0.4051, + "step": 23230 + }, + { + "epoch": 0.81, + "learning_rate": 1.6796544775266442e-05, + "loss": 0.469, + "step": 23231 + }, + { + "epoch": 0.81, + "learning_rate": 1.679044247643814e-05, + "loss": 0.4267, + "step": 23232 + }, + { + "epoch": 0.81, + "learning_rate": 1.6784341184722853e-05, + "loss": 0.4091, + "step": 23233 + }, + { + "epoch": 0.81, + "learning_rate": 1.6778240900194443e-05, + "loss": 0.4005, + "step": 23234 + }, + { + "epoch": 0.81, + "learning_rate": 1.6772141622926695e-05, + "loss": 0.4306, + "step": 23235 + }, + { + "epoch": 0.81, + "learning_rate": 1.67660433529935e-05, + "loss": 0.5063, + "step": 23236 + }, + { + "epoch": 0.81, + "learning_rate": 1.6759946090468636e-05, + "loss": 0.3505, + "step": 23237 + }, + { + "epoch": 0.81, + "learning_rate": 1.6753849835425905e-05, + "loss": 0.375, + "step": 23238 + }, + { + "epoch": 0.81, + "learning_rate": 1.674775458793909e-05, + "loss": 0.4981, + "step": 23239 + }, + { + "epoch": 0.81, + "learning_rate": 1.6741660348081955e-05, + "loss": 0.3557, + "step": 23240 + }, + { + "epoch": 0.81, + "learning_rate": 1.6735567115928242e-05, + "loss": 0.362, + "step": 23241 + }, + { + "epoch": 0.81, + "learning_rate": 1.6729474891551754e-05, + "loss": 0.426, + "step": 23242 + }, + { + "epoch": 0.81, + "learning_rate": 1.6723383675026194e-05, + "loss": 0.5215, + "step": 23243 + }, + { + "epoch": 0.81, + "learning_rate": 1.6717293466425287e-05, + "loss": 0.5077, + "step": 23244 + }, + { + "epoch": 0.81, + "learning_rate": 1.6711204265822755e-05, + "loss": 0.4098, + "step": 23245 + }, + { + "epoch": 0.81, + "learning_rate": 1.670511607329226e-05, + "loss": 0.3917, + "step": 23246 + }, + { + "epoch": 0.81, + "learning_rate": 1.6699028888907553e-05, + "loss": 0.3377, + "step": 23247 + }, + { + "epoch": 0.81, + "learning_rate": 1.6692942712742266e-05, + "loss": 0.4433, + "step": 23248 + }, + { + "epoch": 0.81, + "learning_rate": 1.668685754487008e-05, + "loss": 0.466, + "step": 23249 + }, + { + "epoch": 0.81, + "learning_rate": 1.6680773385364633e-05, + "loss": 0.4474, + "step": 23250 + }, + { + "epoch": 0.81, + "learning_rate": 1.667469023429955e-05, + "loss": 0.5032, + "step": 23251 + }, + { + "epoch": 0.81, + "learning_rate": 1.6668608091748495e-05, + "loss": 0.3516, + "step": 23252 + }, + { + "epoch": 0.81, + "learning_rate": 1.6662526957785063e-05, + "loss": 0.3942, + "step": 23253 + }, + { + "epoch": 0.81, + "learning_rate": 1.6656446832482864e-05, + "loss": 0.4609, + "step": 23254 + }, + { + "epoch": 0.81, + "learning_rate": 1.665036771591547e-05, + "loss": 0.4393, + "step": 23255 + }, + { + "epoch": 0.81, + "learning_rate": 1.6644289608156472e-05, + "loss": 0.4167, + "step": 23256 + }, + { + "epoch": 0.81, + "learning_rate": 1.6638212509279426e-05, + "loss": 0.4086, + "step": 23257 + }, + { + "epoch": 0.81, + "learning_rate": 1.6632136419357902e-05, + "loss": 0.4411, + "step": 23258 + }, + { + "epoch": 0.81, + "learning_rate": 1.6626061338465428e-05, + "loss": 0.3321, + "step": 23259 + }, + { + "epoch": 0.81, + "learning_rate": 1.6619987266675497e-05, + "loss": 0.4421, + "step": 23260 + }, + { + "epoch": 0.81, + "learning_rate": 1.6613914204061698e-05, + "loss": 0.3926, + "step": 23261 + }, + { + "epoch": 0.81, + "learning_rate": 1.6607842150697507e-05, + "loss": 0.4632, + "step": 23262 + }, + { + "epoch": 0.81, + "learning_rate": 1.6601771106656395e-05, + "loss": 0.4428, + "step": 23263 + }, + { + "epoch": 0.81, + "learning_rate": 1.6595701072011872e-05, + "loss": 0.3902, + "step": 23264 + }, + { + "epoch": 0.81, + "learning_rate": 1.6589632046837356e-05, + "loss": 0.5317, + "step": 23265 + }, + { + "epoch": 0.81, + "learning_rate": 1.6583564031206357e-05, + "loss": 0.3773, + "step": 23266 + }, + { + "epoch": 0.81, + "learning_rate": 1.65774970251923e-05, + "loss": 0.4619, + "step": 23267 + }, + { + "epoch": 0.81, + "learning_rate": 1.657143102886862e-05, + "loss": 0.3584, + "step": 23268 + }, + { + "epoch": 0.81, + "learning_rate": 1.656536604230873e-05, + "loss": 0.5068, + "step": 23269 + }, + { + "epoch": 0.81, + "learning_rate": 1.6559302065586003e-05, + "loss": 0.4289, + "step": 23270 + }, + { + "epoch": 0.81, + "learning_rate": 1.6553239098773897e-05, + "loss": 0.4469, + "step": 23271 + }, + { + "epoch": 0.81, + "learning_rate": 1.6547177141945758e-05, + "loss": 0.4271, + "step": 23272 + }, + { + "epoch": 0.81, + "learning_rate": 1.6541116195174965e-05, + "loss": 0.4224, + "step": 23273 + }, + { + "epoch": 0.81, + "learning_rate": 1.6535056258534876e-05, + "loss": 0.3503, + "step": 23274 + }, + { + "epoch": 0.81, + "learning_rate": 1.652899733209883e-05, + "loss": 0.4453, + "step": 23275 + }, + { + "epoch": 0.81, + "learning_rate": 1.652293941594014e-05, + "loss": 0.3787, + "step": 23276 + }, + { + "epoch": 0.81, + "learning_rate": 1.651688251013217e-05, + "loss": 0.4148, + "step": 23277 + }, + { + "epoch": 0.81, + "learning_rate": 1.651082661474821e-05, + "loss": 0.3917, + "step": 23278 + }, + { + "epoch": 0.81, + "learning_rate": 1.6504771729861557e-05, + "loss": 0.5023, + "step": 23279 + }, + { + "epoch": 0.81, + "learning_rate": 1.6498717855545488e-05, + "loss": 0.4017, + "step": 23280 + }, + { + "epoch": 0.81, + "learning_rate": 1.6492664991873264e-05, + "loss": 0.3935, + "step": 23281 + }, + { + "epoch": 0.81, + "learning_rate": 1.6486613138918172e-05, + "loss": 0.4202, + "step": 23282 + }, + { + "epoch": 0.81, + "learning_rate": 1.6480562296753465e-05, + "loss": 0.3968, + "step": 23283 + }, + { + "epoch": 0.81, + "learning_rate": 1.6474512465452352e-05, + "loss": 0.4231, + "step": 23284 + }, + { + "epoch": 0.81, + "learning_rate": 1.6468463645088074e-05, + "loss": 0.4507, + "step": 23285 + }, + { + "epoch": 0.81, + "learning_rate": 1.6462415835733803e-05, + "loss": 0.3914, + "step": 23286 + }, + { + "epoch": 0.81, + "learning_rate": 1.6456369037462792e-05, + "loss": 0.4247, + "step": 23287 + }, + { + "epoch": 0.81, + "learning_rate": 1.645032325034821e-05, + "loss": 0.5446, + "step": 23288 + }, + { + "epoch": 0.81, + "learning_rate": 1.6444278474463216e-05, + "loss": 0.4034, + "step": 23289 + }, + { + "epoch": 0.82, + "learning_rate": 1.6438234709880984e-05, + "loss": 0.4396, + "step": 23290 + }, + { + "epoch": 0.82, + "learning_rate": 1.6432191956674647e-05, + "loss": 0.4708, + "step": 23291 + }, + { + "epoch": 0.82, + "learning_rate": 1.642615021491737e-05, + "loss": 0.4451, + "step": 23292 + }, + { + "epoch": 0.82, + "learning_rate": 1.6420109484682268e-05, + "loss": 0.4165, + "step": 23293 + }, + { + "epoch": 0.82, + "learning_rate": 1.641406976604245e-05, + "loss": 0.3654, + "step": 23294 + }, + { + "epoch": 0.82, + "learning_rate": 1.6408031059071015e-05, + "loss": 0.4157, + "step": 23295 + }, + { + "epoch": 0.82, + "learning_rate": 1.6401993363841038e-05, + "loss": 0.5003, + "step": 23296 + }, + { + "epoch": 0.82, + "learning_rate": 1.639595668042563e-05, + "loss": 0.4324, + "step": 23297 + }, + { + "epoch": 0.82, + "learning_rate": 1.6389921008897835e-05, + "loss": 0.4379, + "step": 23298 + }, + { + "epoch": 0.82, + "learning_rate": 1.63838863493307e-05, + "loss": 0.4068, + "step": 23299 + }, + { + "epoch": 0.82, + "learning_rate": 1.637785270179728e-05, + "loss": 0.3854, + "step": 23300 + }, + { + "epoch": 0.82, + "learning_rate": 1.637182006637057e-05, + "loss": 0.4591, + "step": 23301 + }, + { + "epoch": 0.82, + "learning_rate": 1.6365788443123632e-05, + "loss": 0.3821, + "step": 23302 + }, + { + "epoch": 0.82, + "learning_rate": 1.635975783212943e-05, + "loss": 0.4051, + "step": 23303 + }, + { + "epoch": 0.82, + "learning_rate": 1.6353728233460985e-05, + "loss": 0.4276, + "step": 23304 + }, + { + "epoch": 0.82, + "learning_rate": 1.634769964719125e-05, + "loss": 0.3739, + "step": 23305 + }, + { + "epoch": 0.82, + "learning_rate": 1.634167207339318e-05, + "loss": 0.3645, + "step": 23306 + }, + { + "epoch": 0.82, + "learning_rate": 1.6335645512139762e-05, + "loss": 0.3864, + "step": 23307 + }, + { + "epoch": 0.82, + "learning_rate": 1.632961996350394e-05, + "loss": 0.3993, + "step": 23308 + }, + { + "epoch": 0.82, + "learning_rate": 1.6323595427558624e-05, + "loss": 0.4305, + "step": 23309 + }, + { + "epoch": 0.82, + "learning_rate": 1.6317571904376727e-05, + "loss": 0.4321, + "step": 23310 + }, + { + "epoch": 0.82, + "learning_rate": 1.6311549394031167e-05, + "loss": 0.3449, + "step": 23311 + }, + { + "epoch": 0.82, + "learning_rate": 1.630552789659481e-05, + "loss": 0.4322, + "step": 23312 + }, + { + "epoch": 0.82, + "learning_rate": 1.6299507412140568e-05, + "loss": 0.4543, + "step": 23313 + }, + { + "epoch": 0.82, + "learning_rate": 1.6293487940741304e-05, + "loss": 0.3846, + "step": 23314 + }, + { + "epoch": 0.82, + "learning_rate": 1.6287469482469873e-05, + "loss": 0.5142, + "step": 23315 + }, + { + "epoch": 0.82, + "learning_rate": 1.6281452037399102e-05, + "loss": 0.4482, + "step": 23316 + }, + { + "epoch": 0.82, + "learning_rate": 1.6275435605601817e-05, + "loss": 0.4573, + "step": 23317 + }, + { + "epoch": 0.82, + "learning_rate": 1.6269420187150885e-05, + "loss": 0.4329, + "step": 23318 + }, + { + "epoch": 0.82, + "learning_rate": 1.6263405782119067e-05, + "loss": 0.4004, + "step": 23319 + }, + { + "epoch": 0.82, + "learning_rate": 1.6257392390579173e-05, + "loss": 0.3925, + "step": 23320 + }, + { + "epoch": 0.82, + "learning_rate": 1.625138001260399e-05, + "loss": 0.3622, + "step": 23321 + }, + { + "epoch": 0.82, + "learning_rate": 1.6245368648266245e-05, + "loss": 0.534, + "step": 23322 + }, + { + "epoch": 0.82, + "learning_rate": 1.6239358297638763e-05, + "loss": 0.5085, + "step": 23323 + }, + { + "epoch": 0.82, + "learning_rate": 1.623334896079426e-05, + "loss": 0.4321, + "step": 23324 + }, + { + "epoch": 0.82, + "learning_rate": 1.6227340637805454e-05, + "loss": 0.4375, + "step": 23325 + }, + { + "epoch": 0.82, + "learning_rate": 1.622133332874509e-05, + "loss": 0.5231, + "step": 23326 + }, + { + "epoch": 0.82, + "learning_rate": 1.6215327033685834e-05, + "loss": 0.4161, + "step": 23327 + }, + { + "epoch": 0.82, + "learning_rate": 1.6209321752700445e-05, + "loss": 0.4269, + "step": 23328 + }, + { + "epoch": 0.82, + "learning_rate": 1.620331748586157e-05, + "loss": 0.3896, + "step": 23329 + }, + { + "epoch": 0.82, + "learning_rate": 1.619731423324189e-05, + "loss": 0.4108, + "step": 23330 + }, + { + "epoch": 0.82, + "learning_rate": 1.619131199491405e-05, + "loss": 0.4004, + "step": 23331 + }, + { + "epoch": 0.82, + "learning_rate": 1.618531077095069e-05, + "loss": 0.3578, + "step": 23332 + }, + { + "epoch": 0.82, + "learning_rate": 1.6179310561424486e-05, + "loss": 0.4291, + "step": 23333 + }, + { + "epoch": 0.82, + "learning_rate": 1.6173311366408028e-05, + "loss": 0.4484, + "step": 23334 + }, + { + "epoch": 0.82, + "learning_rate": 1.6167313185973943e-05, + "loss": 0.5071, + "step": 23335 + }, + { + "epoch": 0.82, + "learning_rate": 1.6161316020194818e-05, + "loss": 0.3566, + "step": 23336 + }, + { + "epoch": 0.82, + "learning_rate": 1.6155319869143214e-05, + "loss": 0.4977, + "step": 23337 + }, + { + "epoch": 0.82, + "learning_rate": 1.6149324732891768e-05, + "loss": 0.3972, + "step": 23338 + }, + { + "epoch": 0.82, + "learning_rate": 1.6143330611512997e-05, + "loss": 0.3589, + "step": 23339 + }, + { + "epoch": 0.82, + "learning_rate": 1.613733750507945e-05, + "loss": 0.4268, + "step": 23340 + }, + { + "epoch": 0.82, + "learning_rate": 1.613134541366368e-05, + "loss": 0.4806, + "step": 23341 + }, + { + "epoch": 0.82, + "learning_rate": 1.6125354337338204e-05, + "loss": 0.4627, + "step": 23342 + }, + { + "epoch": 0.82, + "learning_rate": 1.6119364276175497e-05, + "loss": 0.4539, + "step": 23343 + }, + { + "epoch": 0.82, + "learning_rate": 1.6113375230248128e-05, + "loss": 0.4495, + "step": 23344 + }, + { + "epoch": 0.82, + "learning_rate": 1.6107387199628554e-05, + "loss": 0.3871, + "step": 23345 + }, + { + "epoch": 0.82, + "learning_rate": 1.6101400184389238e-05, + "loss": 0.4866, + "step": 23346 + }, + { + "epoch": 0.82, + "learning_rate": 1.6095414184602652e-05, + "loss": 0.4161, + "step": 23347 + }, + { + "epoch": 0.82, + "learning_rate": 1.608942920034122e-05, + "loss": 0.4425, + "step": 23348 + }, + { + "epoch": 0.82, + "learning_rate": 1.6083445231677442e-05, + "loss": 0.4631, + "step": 23349 + }, + { + "epoch": 0.82, + "learning_rate": 1.6077462278683698e-05, + "loss": 0.4144, + "step": 23350 + }, + { + "epoch": 0.82, + "learning_rate": 1.607148034143242e-05, + "loss": 0.4597, + "step": 23351 + }, + { + "epoch": 0.82, + "learning_rate": 1.6065499419996e-05, + "loss": 0.453, + "step": 23352 + }, + { + "epoch": 0.82, + "learning_rate": 1.60595195144468e-05, + "loss": 0.4078, + "step": 23353 + }, + { + "epoch": 0.82, + "learning_rate": 1.6053540624857243e-05, + "loss": 0.4117, + "step": 23354 + }, + { + "epoch": 0.82, + "learning_rate": 1.6047562751299682e-05, + "loss": 0.4036, + "step": 23355 + }, + { + "epoch": 0.82, + "learning_rate": 1.6041585893846467e-05, + "loss": 0.4536, + "step": 23356 + }, + { + "epoch": 0.82, + "learning_rate": 1.6035610052569938e-05, + "loss": 0.3826, + "step": 23357 + }, + { + "epoch": 0.82, + "learning_rate": 1.6029635227542383e-05, + "loss": 0.4501, + "step": 23358 + }, + { + "epoch": 0.82, + "learning_rate": 1.6023661418836177e-05, + "loss": 0.4729, + "step": 23359 + }, + { + "epoch": 0.82, + "learning_rate": 1.6017688626523608e-05, + "loss": 0.4033, + "step": 23360 + }, + { + "epoch": 0.82, + "learning_rate": 1.601171685067695e-05, + "loss": 0.4177, + "step": 23361 + }, + { + "epoch": 0.82, + "learning_rate": 1.600574609136849e-05, + "loss": 0.3551, + "step": 23362 + }, + { + "epoch": 0.82, + "learning_rate": 1.599977634867047e-05, + "loss": 0.483, + "step": 23363 + }, + { + "epoch": 0.82, + "learning_rate": 1.59938076226552e-05, + "loss": 0.4004, + "step": 23364 + }, + { + "epoch": 0.82, + "learning_rate": 1.5987839913394875e-05, + "loss": 0.4576, + "step": 23365 + }, + { + "epoch": 0.82, + "learning_rate": 1.598187322096174e-05, + "loss": 0.3458, + "step": 23366 + }, + { + "epoch": 0.82, + "learning_rate": 1.5975907545428015e-05, + "loss": 0.4008, + "step": 23367 + }, + { + "epoch": 0.82, + "learning_rate": 1.5969942886865863e-05, + "loss": 0.4022, + "step": 23368 + }, + { + "epoch": 0.82, + "learning_rate": 1.596397924534755e-05, + "loss": 0.4017, + "step": 23369 + }, + { + "epoch": 0.82, + "learning_rate": 1.5958016620945216e-05, + "loss": 0.3419, + "step": 23370 + }, + { + "epoch": 0.82, + "learning_rate": 1.5952055013731027e-05, + "loss": 0.43, + "step": 23371 + }, + { + "epoch": 0.82, + "learning_rate": 1.5946094423777136e-05, + "loss": 0.4224, + "step": 23372 + }, + { + "epoch": 0.82, + "learning_rate": 1.5940134851155697e-05, + "loss": 0.4541, + "step": 23373 + }, + { + "epoch": 0.82, + "learning_rate": 1.593417629593881e-05, + "loss": 0.3177, + "step": 23374 + }, + { + "epoch": 0.82, + "learning_rate": 1.5928218758198643e-05, + "loss": 0.4499, + "step": 23375 + }, + { + "epoch": 0.82, + "learning_rate": 1.592226223800728e-05, + "loss": 0.4849, + "step": 23376 + }, + { + "epoch": 0.82, + "learning_rate": 1.5916306735436816e-05, + "loss": 0.4677, + "step": 23377 + }, + { + "epoch": 0.82, + "learning_rate": 1.5910352250559323e-05, + "loss": 0.4765, + "step": 23378 + }, + { + "epoch": 0.82, + "learning_rate": 1.5904398783446862e-05, + "loss": 0.4641, + "step": 23379 + }, + { + "epoch": 0.82, + "learning_rate": 1.5898446334171522e-05, + "loss": 0.405, + "step": 23380 + }, + { + "epoch": 0.82, + "learning_rate": 1.589249490280533e-05, + "loss": 0.4059, + "step": 23381 + }, + { + "epoch": 0.82, + "learning_rate": 1.5886544489420317e-05, + "loss": 0.3799, + "step": 23382 + }, + { + "epoch": 0.82, + "learning_rate": 1.5880595094088502e-05, + "loss": 0.4701, + "step": 23383 + }, + { + "epoch": 0.82, + "learning_rate": 1.587464671688187e-05, + "loss": 0.4075, + "step": 23384 + }, + { + "epoch": 0.82, + "learning_rate": 1.5868699357872464e-05, + "loss": 0.3672, + "step": 23385 + }, + { + "epoch": 0.82, + "learning_rate": 1.586275301713225e-05, + "loss": 0.4263, + "step": 23386 + }, + { + "epoch": 0.82, + "learning_rate": 1.585680769473319e-05, + "loss": 0.4339, + "step": 23387 + }, + { + "epoch": 0.82, + "learning_rate": 1.585086339074724e-05, + "loss": 0.4103, + "step": 23388 + }, + { + "epoch": 0.82, + "learning_rate": 1.584492010524633e-05, + "loss": 0.4166, + "step": 23389 + }, + { + "epoch": 0.82, + "learning_rate": 1.5838977838302425e-05, + "loss": 0.4131, + "step": 23390 + }, + { + "epoch": 0.82, + "learning_rate": 1.583303658998747e-05, + "loss": 0.4051, + "step": 23391 + }, + { + "epoch": 0.82, + "learning_rate": 1.5827096360373317e-05, + "loss": 0.442, + "step": 23392 + }, + { + "epoch": 0.82, + "learning_rate": 1.5821157149531862e-05, + "loss": 0.3794, + "step": 23393 + }, + { + "epoch": 0.82, + "learning_rate": 1.581521895753503e-05, + "loss": 0.3908, + "step": 23394 + }, + { + "epoch": 0.82, + "learning_rate": 1.5809281784454667e-05, + "loss": 0.4071, + "step": 23395 + }, + { + "epoch": 0.82, + "learning_rate": 1.5803345630362653e-05, + "loss": 0.3537, + "step": 23396 + }, + { + "epoch": 0.82, + "learning_rate": 1.579741049533081e-05, + "loss": 0.5029, + "step": 23397 + }, + { + "epoch": 0.82, + "learning_rate": 1.579147637943097e-05, + "loss": 0.4027, + "step": 23398 + }, + { + "epoch": 0.82, + "learning_rate": 1.5785543282734994e-05, + "loss": 0.3946, + "step": 23399 + }, + { + "epoch": 0.82, + "learning_rate": 1.577961120531467e-05, + "loss": 0.47, + "step": 23400 + }, + { + "epoch": 0.82, + "eval_loss": 0.4098736345767975, + "eval_runtime": 846.1331, + "eval_samples_per_second": 28.435, + "eval_steps_per_second": 14.218, + "step": 23400 + }, + { + "epoch": 0.82, + "learning_rate": 1.5773680147241787e-05, + "loss": 0.3759, + "step": 23401 + }, + { + "epoch": 0.82, + "learning_rate": 1.576775010858814e-05, + "loss": 0.3994, + "step": 23402 + }, + { + "epoch": 0.82, + "learning_rate": 1.576182108942549e-05, + "loss": 0.334, + "step": 23403 + }, + { + "epoch": 0.82, + "learning_rate": 1.5755893089825625e-05, + "loss": 0.4254, + "step": 23404 + }, + { + "epoch": 0.82, + "learning_rate": 1.5749966109860272e-05, + "loss": 0.5122, + "step": 23405 + }, + { + "epoch": 0.82, + "learning_rate": 1.574404014960117e-05, + "loss": 0.4383, + "step": 23406 + }, + { + "epoch": 0.82, + "learning_rate": 1.5738115209120053e-05, + "loss": 0.3647, + "step": 23407 + }, + { + "epoch": 0.82, + "learning_rate": 1.5732191288488617e-05, + "loss": 0.4144, + "step": 23408 + }, + { + "epoch": 0.82, + "learning_rate": 1.5726268387778552e-05, + "loss": 0.3747, + "step": 23409 + }, + { + "epoch": 0.82, + "learning_rate": 1.5720346507061588e-05, + "loss": 0.409, + "step": 23410 + }, + { + "epoch": 0.82, + "learning_rate": 1.571442564640937e-05, + "loss": 0.3833, + "step": 23411 + }, + { + "epoch": 0.82, + "learning_rate": 1.5708505805893557e-05, + "loss": 0.4099, + "step": 23412 + }, + { + "epoch": 0.82, + "learning_rate": 1.5702586985585822e-05, + "loss": 0.5119, + "step": 23413 + }, + { + "epoch": 0.82, + "learning_rate": 1.5696669185557743e-05, + "loss": 0.4299, + "step": 23414 + }, + { + "epoch": 0.82, + "learning_rate": 1.5690752405881015e-05, + "loss": 0.3781, + "step": 23415 + }, + { + "epoch": 0.82, + "learning_rate": 1.5684836646627233e-05, + "loss": 0.5144, + "step": 23416 + }, + { + "epoch": 0.82, + "learning_rate": 1.5678921907867982e-05, + "loss": 0.4629, + "step": 23417 + }, + { + "epoch": 0.82, + "learning_rate": 1.5673008189674854e-05, + "loss": 0.3525, + "step": 23418 + }, + { + "epoch": 0.82, + "learning_rate": 1.566709549211941e-05, + "loss": 0.4923, + "step": 23419 + }, + { + "epoch": 0.82, + "learning_rate": 1.566118381527325e-05, + "loss": 0.4727, + "step": 23420 + }, + { + "epoch": 0.82, + "learning_rate": 1.5655273159207905e-05, + "loss": 0.4423, + "step": 23421 + }, + { + "epoch": 0.82, + "learning_rate": 1.564936352399491e-05, + "loss": 0.4676, + "step": 23422 + }, + { + "epoch": 0.82, + "learning_rate": 1.56434549097058e-05, + "loss": 0.6162, + "step": 23423 + }, + { + "epoch": 0.82, + "learning_rate": 1.563754731641206e-05, + "loss": 0.4426, + "step": 23424 + }, + { + "epoch": 0.82, + "learning_rate": 1.563164074418524e-05, + "loss": 0.5182, + "step": 23425 + }, + { + "epoch": 0.82, + "learning_rate": 1.56257351930968e-05, + "loss": 0.4847, + "step": 23426 + }, + { + "epoch": 0.82, + "learning_rate": 1.5619830663218227e-05, + "loss": 0.365, + "step": 23427 + }, + { + "epoch": 0.82, + "learning_rate": 1.561392715462098e-05, + "loss": 0.4087, + "step": 23428 + }, + { + "epoch": 0.82, + "learning_rate": 1.5608024667376476e-05, + "loss": 0.4206, + "step": 23429 + }, + { + "epoch": 0.82, + "learning_rate": 1.560212320155623e-05, + "loss": 0.4156, + "step": 23430 + }, + { + "epoch": 0.82, + "learning_rate": 1.5596222757231617e-05, + "loss": 0.4279, + "step": 23431 + }, + { + "epoch": 0.82, + "learning_rate": 1.5590323334474065e-05, + "loss": 0.4379, + "step": 23432 + }, + { + "epoch": 0.82, + "learning_rate": 1.558442493335498e-05, + "loss": 0.4574, + "step": 23433 + }, + { + "epoch": 0.82, + "learning_rate": 1.557852755394573e-05, + "loss": 0.446, + "step": 23434 + }, + { + "epoch": 0.82, + "learning_rate": 1.5572631196317723e-05, + "loss": 0.4486, + "step": 23435 + }, + { + "epoch": 0.82, + "learning_rate": 1.5566735860542327e-05, + "loss": 0.3567, + "step": 23436 + }, + { + "epoch": 0.82, + "learning_rate": 1.5560841546690874e-05, + "loss": 0.3882, + "step": 23437 + }, + { + "epoch": 0.82, + "learning_rate": 1.555494825483471e-05, + "loss": 0.3929, + "step": 23438 + }, + { + "epoch": 0.82, + "learning_rate": 1.554905598504515e-05, + "loss": 0.3973, + "step": 23439 + }, + { + "epoch": 0.82, + "learning_rate": 1.5543164737393533e-05, + "loss": 0.3727, + "step": 23440 + }, + { + "epoch": 0.82, + "learning_rate": 1.5537274511951162e-05, + "loss": 0.4122, + "step": 23441 + }, + { + "epoch": 0.82, + "learning_rate": 1.5531385308789324e-05, + "loss": 0.4785, + "step": 23442 + }, + { + "epoch": 0.82, + "learning_rate": 1.5525497127979307e-05, + "loss": 0.4409, + "step": 23443 + }, + { + "epoch": 0.82, + "learning_rate": 1.551960996959235e-05, + "loss": 0.5164, + "step": 23444 + }, + { + "epoch": 0.82, + "learning_rate": 1.55137238336997e-05, + "loss": 0.4204, + "step": 23445 + }, + { + "epoch": 0.82, + "learning_rate": 1.550783872037266e-05, + "loss": 0.498, + "step": 23446 + }, + { + "epoch": 0.82, + "learning_rate": 1.5501954629682415e-05, + "loss": 0.4468, + "step": 23447 + }, + { + "epoch": 0.82, + "learning_rate": 1.5496071561700188e-05, + "loss": 0.4251, + "step": 23448 + }, + { + "epoch": 0.82, + "learning_rate": 1.5490189516497177e-05, + "loss": 0.3708, + "step": 23449 + }, + { + "epoch": 0.82, + "learning_rate": 1.5484308494144573e-05, + "loss": 0.3976, + "step": 23450 + }, + { + "epoch": 0.82, + "learning_rate": 1.547842849471358e-05, + "loss": 0.3852, + "step": 23451 + }, + { + "epoch": 0.82, + "learning_rate": 1.547254951827535e-05, + "loss": 0.3638, + "step": 23452 + }, + { + "epoch": 0.82, + "learning_rate": 1.5466671564901037e-05, + "loss": 0.4625, + "step": 23453 + }, + { + "epoch": 0.82, + "learning_rate": 1.546079463466179e-05, + "loss": 0.4845, + "step": 23454 + }, + { + "epoch": 0.82, + "learning_rate": 1.5454918727628708e-05, + "loss": 0.4639, + "step": 23455 + }, + { + "epoch": 0.82, + "learning_rate": 1.5449043843872967e-05, + "loss": 0.4544, + "step": 23456 + }, + { + "epoch": 0.82, + "learning_rate": 1.544316998346563e-05, + "loss": 0.3933, + "step": 23457 + }, + { + "epoch": 0.82, + "learning_rate": 1.5437297146477815e-05, + "loss": 0.406, + "step": 23458 + }, + { + "epoch": 0.82, + "learning_rate": 1.5431425332980586e-05, + "loss": 0.4348, + "step": 23459 + }, + { + "epoch": 0.82, + "learning_rate": 1.5425554543044997e-05, + "loss": 0.4007, + "step": 23460 + }, + { + "epoch": 0.82, + "learning_rate": 1.541968477674214e-05, + "loss": 0.4377, + "step": 23461 + }, + { + "epoch": 0.82, + "learning_rate": 1.5413816034143036e-05, + "loss": 0.3306, + "step": 23462 + }, + { + "epoch": 0.82, + "learning_rate": 1.540794831531873e-05, + "loss": 0.3789, + "step": 23463 + }, + { + "epoch": 0.82, + "learning_rate": 1.5402081620340226e-05, + "loss": 0.3281, + "step": 23464 + }, + { + "epoch": 0.82, + "learning_rate": 1.5396215949278526e-05, + "loss": 0.4963, + "step": 23465 + }, + { + "epoch": 0.82, + "learning_rate": 1.5390351302204642e-05, + "loss": 0.4687, + "step": 23466 + }, + { + "epoch": 0.82, + "learning_rate": 1.5384487679189563e-05, + "loss": 0.3828, + "step": 23467 + }, + { + "epoch": 0.82, + "learning_rate": 1.5378625080304243e-05, + "loss": 0.3987, + "step": 23468 + }, + { + "epoch": 0.82, + "learning_rate": 1.5372763505619636e-05, + "loss": 0.3749, + "step": 23469 + }, + { + "epoch": 0.82, + "learning_rate": 1.5366902955206663e-05, + "loss": 0.4675, + "step": 23470 + }, + { + "epoch": 0.82, + "learning_rate": 1.5361043429136322e-05, + "loss": 0.4393, + "step": 23471 + }, + { + "epoch": 0.82, + "learning_rate": 1.5355184927479483e-05, + "loss": 0.4628, + "step": 23472 + }, + { + "epoch": 0.82, + "learning_rate": 1.534932745030707e-05, + "loss": 0.417, + "step": 23473 + }, + { + "epoch": 0.82, + "learning_rate": 1.534347099768998e-05, + "loss": 0.3981, + "step": 23474 + }, + { + "epoch": 0.82, + "learning_rate": 1.533761556969908e-05, + "loss": 0.4022, + "step": 23475 + }, + { + "epoch": 0.82, + "learning_rate": 1.5331761166405224e-05, + "loss": 0.5177, + "step": 23476 + }, + { + "epoch": 0.82, + "learning_rate": 1.5325907787879325e-05, + "loss": 0.3454, + "step": 23477 + }, + { + "epoch": 0.82, + "learning_rate": 1.5320055434192205e-05, + "loss": 0.3471, + "step": 23478 + }, + { + "epoch": 0.82, + "learning_rate": 1.5314204105414674e-05, + "loss": 0.4117, + "step": 23479 + }, + { + "epoch": 0.82, + "learning_rate": 1.530835380161758e-05, + "loss": 0.4091, + "step": 23480 + }, + { + "epoch": 0.82, + "learning_rate": 1.5302504522871696e-05, + "loss": 0.345, + "step": 23481 + }, + { + "epoch": 0.82, + "learning_rate": 1.5296656269247866e-05, + "loss": 0.4508, + "step": 23482 + }, + { + "epoch": 0.82, + "learning_rate": 1.5290809040816845e-05, + "loss": 0.3925, + "step": 23483 + }, + { + "epoch": 0.82, + "learning_rate": 1.5284962837649407e-05, + "loss": 0.3902, + "step": 23484 + }, + { + "epoch": 0.82, + "learning_rate": 1.5279117659816322e-05, + "loss": 0.3873, + "step": 23485 + }, + { + "epoch": 0.82, + "learning_rate": 1.5273273507388298e-05, + "loss": 0.3725, + "step": 23486 + }, + { + "epoch": 0.82, + "learning_rate": 1.526743038043612e-05, + "loss": 0.438, + "step": 23487 + }, + { + "epoch": 0.82, + "learning_rate": 1.526158827903048e-05, + "loss": 0.4755, + "step": 23488 + }, + { + "epoch": 0.82, + "learning_rate": 1.5255747203242099e-05, + "loss": 0.4417, + "step": 23489 + }, + { + "epoch": 0.82, + "learning_rate": 1.5249907153141673e-05, + "loss": 0.4564, + "step": 23490 + }, + { + "epoch": 0.82, + "learning_rate": 1.5244068128799848e-05, + "loss": 0.4304, + "step": 23491 + }, + { + "epoch": 0.82, + "learning_rate": 1.5238230130287357e-05, + "loss": 0.4602, + "step": 23492 + }, + { + "epoch": 0.82, + "learning_rate": 1.5232393157674828e-05, + "loss": 0.4405, + "step": 23493 + }, + { + "epoch": 0.82, + "learning_rate": 1.522655721103291e-05, + "loss": 0.4344, + "step": 23494 + }, + { + "epoch": 0.82, + "learning_rate": 1.5220722290432243e-05, + "loss": 0.4298, + "step": 23495 + }, + { + "epoch": 0.82, + "learning_rate": 1.5214888395943416e-05, + "loss": 0.4508, + "step": 23496 + }, + { + "epoch": 0.82, + "learning_rate": 1.5209055527637084e-05, + "loss": 0.4243, + "step": 23497 + }, + { + "epoch": 0.82, + "learning_rate": 1.5203223685583834e-05, + "loss": 0.4957, + "step": 23498 + }, + { + "epoch": 0.82, + "learning_rate": 1.5197392869854244e-05, + "loss": 0.411, + "step": 23499 + }, + { + "epoch": 0.82, + "learning_rate": 1.5191563080518878e-05, + "loss": 0.3957, + "step": 23500 + }, + { + "epoch": 0.82, + "learning_rate": 1.5185734317648293e-05, + "loss": 0.3933, + "step": 23501 + }, + { + "epoch": 0.82, + "learning_rate": 1.5179906581313064e-05, + "loss": 0.3125, + "step": 23502 + }, + { + "epoch": 0.82, + "learning_rate": 1.5174079871583701e-05, + "loss": 0.3992, + "step": 23503 + }, + { + "epoch": 0.82, + "learning_rate": 1.516825418853074e-05, + "loss": 0.3985, + "step": 23504 + }, + { + "epoch": 0.82, + "learning_rate": 1.5162429532224687e-05, + "loss": 0.3631, + "step": 23505 + }, + { + "epoch": 0.82, + "learning_rate": 1.5156605902736021e-05, + "loss": 0.393, + "step": 23506 + }, + { + "epoch": 0.82, + "learning_rate": 1.5150783300135263e-05, + "loss": 0.5156, + "step": 23507 + }, + { + "epoch": 0.82, + "learning_rate": 1.5144961724492857e-05, + "loss": 0.4645, + "step": 23508 + }, + { + "epoch": 0.82, + "learning_rate": 1.513914117587929e-05, + "loss": 0.4526, + "step": 23509 + }, + { + "epoch": 0.82, + "learning_rate": 1.5133321654364985e-05, + "loss": 0.4049, + "step": 23510 + }, + { + "epoch": 0.82, + "learning_rate": 1.5127503160020396e-05, + "loss": 0.4748, + "step": 23511 + }, + { + "epoch": 0.82, + "learning_rate": 1.5121685692915899e-05, + "loss": 0.4292, + "step": 23512 + }, + { + "epoch": 0.82, + "learning_rate": 1.5115869253121973e-05, + "loss": 0.353, + "step": 23513 + }, + { + "epoch": 0.82, + "learning_rate": 1.5110053840708993e-05, + "loss": 0.4216, + "step": 23514 + }, + { + "epoch": 0.82, + "learning_rate": 1.5104239455747326e-05, + "loss": 0.4771, + "step": 23515 + }, + { + "epoch": 0.82, + "learning_rate": 1.5098426098307373e-05, + "loss": 0.3614, + "step": 23516 + }, + { + "epoch": 0.82, + "learning_rate": 1.5092613768459441e-05, + "loss": 0.4662, + "step": 23517 + }, + { + "epoch": 0.82, + "learning_rate": 1.5086802466273941e-05, + "loss": 0.4265, + "step": 23518 + }, + { + "epoch": 0.82, + "learning_rate": 1.5080992191821197e-05, + "loss": 0.4082, + "step": 23519 + }, + { + "epoch": 0.82, + "learning_rate": 1.5075182945171518e-05, + "loss": 0.4489, + "step": 23520 + }, + { + "epoch": 0.82, + "learning_rate": 1.5069374726395214e-05, + "loss": 0.4199, + "step": 23521 + }, + { + "epoch": 0.82, + "learning_rate": 1.5063567535562562e-05, + "loss": 0.4726, + "step": 23522 + }, + { + "epoch": 0.82, + "learning_rate": 1.5057761372743894e-05, + "loss": 0.4545, + "step": 23523 + }, + { + "epoch": 0.82, + "learning_rate": 1.5051956238009469e-05, + "loss": 0.3922, + "step": 23524 + }, + { + "epoch": 0.82, + "learning_rate": 1.504615213142957e-05, + "loss": 0.5574, + "step": 23525 + }, + { + "epoch": 0.82, + "learning_rate": 1.5040349053074376e-05, + "loss": 0.4519, + "step": 23526 + }, + { + "epoch": 0.82, + "learning_rate": 1.5034547003014177e-05, + "loss": 0.3893, + "step": 23527 + }, + { + "epoch": 0.82, + "learning_rate": 1.5028745981319203e-05, + "loss": 0.4235, + "step": 23528 + }, + { + "epoch": 0.82, + "learning_rate": 1.5022945988059633e-05, + "loss": 0.3933, + "step": 23529 + }, + { + "epoch": 0.82, + "learning_rate": 1.50171470233057e-05, + "loss": 0.5547, + "step": 23530 + }, + { + "epoch": 0.82, + "learning_rate": 1.5011349087127546e-05, + "loss": 0.3986, + "step": 23531 + }, + { + "epoch": 0.82, + "learning_rate": 1.5005552179595394e-05, + "loss": 0.4107, + "step": 23532 + }, + { + "epoch": 0.82, + "learning_rate": 1.4999756300779378e-05, + "loss": 0.5282, + "step": 23533 + }, + { + "epoch": 0.82, + "learning_rate": 1.4993961450749661e-05, + "loss": 0.4076, + "step": 23534 + }, + { + "epoch": 0.82, + "learning_rate": 1.4988167629576377e-05, + "loss": 0.4156, + "step": 23535 + }, + { + "epoch": 0.82, + "learning_rate": 1.4982374837329627e-05, + "loss": 0.4165, + "step": 23536 + }, + { + "epoch": 0.82, + "learning_rate": 1.4976583074079564e-05, + "loss": 0.3789, + "step": 23537 + }, + { + "epoch": 0.82, + "learning_rate": 1.4970792339896267e-05, + "loss": 0.3866, + "step": 23538 + }, + { + "epoch": 0.82, + "learning_rate": 1.4965002634849812e-05, + "loss": 0.4794, + "step": 23539 + }, + { + "epoch": 0.82, + "learning_rate": 1.49592139590103e-05, + "loss": 0.4375, + "step": 23540 + }, + { + "epoch": 0.82, + "learning_rate": 1.495342631244775e-05, + "loss": 0.4336, + "step": 23541 + }, + { + "epoch": 0.82, + "learning_rate": 1.4947639695232264e-05, + "loss": 0.381, + "step": 23542 + }, + { + "epoch": 0.82, + "learning_rate": 1.494185410743385e-05, + "loss": 0.5332, + "step": 23543 + }, + { + "epoch": 0.82, + "learning_rate": 1.4936069549122545e-05, + "loss": 0.4238, + "step": 23544 + }, + { + "epoch": 0.82, + "learning_rate": 1.4930286020368356e-05, + "loss": 0.3444, + "step": 23545 + }, + { + "epoch": 0.82, + "learning_rate": 1.4924503521241273e-05, + "loss": 0.3826, + "step": 23546 + }, + { + "epoch": 0.82, + "learning_rate": 1.4918722051811274e-05, + "loss": 0.3505, + "step": 23547 + }, + { + "epoch": 0.82, + "learning_rate": 1.491294161214838e-05, + "loss": 0.4287, + "step": 23548 + }, + { + "epoch": 0.82, + "learning_rate": 1.4907162202322521e-05, + "loss": 0.4356, + "step": 23549 + }, + { + "epoch": 0.82, + "learning_rate": 1.4901383822403658e-05, + "loss": 0.43, + "step": 23550 + }, + { + "epoch": 0.82, + "learning_rate": 1.489560647246171e-05, + "loss": 0.4077, + "step": 23551 + }, + { + "epoch": 0.82, + "learning_rate": 1.4889830152566609e-05, + "loss": 0.4813, + "step": 23552 + }, + { + "epoch": 0.82, + "learning_rate": 1.4884054862788276e-05, + "loss": 0.4137, + "step": 23553 + }, + { + "epoch": 0.82, + "learning_rate": 1.4878280603196626e-05, + "loss": 0.4033, + "step": 23554 + }, + { + "epoch": 0.82, + "learning_rate": 1.4872507373861521e-05, + "loss": 0.2943, + "step": 23555 + }, + { + "epoch": 0.82, + "learning_rate": 1.4866735174852852e-05, + "loss": 0.4083, + "step": 23556 + }, + { + "epoch": 0.82, + "learning_rate": 1.4860964006240441e-05, + "loss": 0.3697, + "step": 23557 + }, + { + "epoch": 0.82, + "learning_rate": 1.4855193868094209e-05, + "loss": 0.4764, + "step": 23558 + }, + { + "epoch": 0.82, + "learning_rate": 1.4849424760483954e-05, + "loss": 0.4079, + "step": 23559 + }, + { + "epoch": 0.82, + "learning_rate": 1.48436566834795e-05, + "loss": 0.4828, + "step": 23560 + }, + { + "epoch": 0.82, + "learning_rate": 1.4837889637150659e-05, + "loss": 0.3639, + "step": 23561 + }, + { + "epoch": 0.82, + "learning_rate": 1.4832123621567218e-05, + "loss": 0.4861, + "step": 23562 + }, + { + "epoch": 0.82, + "learning_rate": 1.482635863679901e-05, + "loss": 0.3396, + "step": 23563 + }, + { + "epoch": 0.82, + "learning_rate": 1.482059468291579e-05, + "loss": 0.5079, + "step": 23564 + }, + { + "epoch": 0.82, + "learning_rate": 1.4814831759987302e-05, + "loss": 0.5681, + "step": 23565 + }, + { + "epoch": 0.82, + "learning_rate": 1.4809069868083326e-05, + "loss": 0.4796, + "step": 23566 + }, + { + "epoch": 0.82, + "learning_rate": 1.4803309007273547e-05, + "loss": 0.3949, + "step": 23567 + }, + { + "epoch": 0.82, + "learning_rate": 1.4797549177627757e-05, + "loss": 0.3775, + "step": 23568 + }, + { + "epoch": 0.82, + "learning_rate": 1.4791790379215641e-05, + "loss": 0.4279, + "step": 23569 + }, + { + "epoch": 0.82, + "learning_rate": 1.4786032612106904e-05, + "loss": 0.4343, + "step": 23570 + }, + { + "epoch": 0.82, + "learning_rate": 1.4780275876371219e-05, + "loss": 0.3669, + "step": 23571 + }, + { + "epoch": 0.82, + "learning_rate": 1.4774520172078254e-05, + "loss": 0.4534, + "step": 23572 + }, + { + "epoch": 0.82, + "learning_rate": 1.476876549929771e-05, + "loss": 0.4217, + "step": 23573 + }, + { + "epoch": 0.82, + "learning_rate": 1.4763011858099218e-05, + "loss": 0.5028, + "step": 23574 + }, + { + "epoch": 0.82, + "learning_rate": 1.4757259248552413e-05, + "loss": 0.4272, + "step": 23575 + }, + { + "epoch": 0.83, + "learning_rate": 1.4751507670726927e-05, + "loss": 0.4464, + "step": 23576 + }, + { + "epoch": 0.83, + "learning_rate": 1.4745757124692372e-05, + "loss": 0.4629, + "step": 23577 + }, + { + "epoch": 0.83, + "learning_rate": 1.4740007610518325e-05, + "loss": 0.4257, + "step": 23578 + }, + { + "epoch": 0.83, + "learning_rate": 1.4734259128274409e-05, + "loss": 0.4181, + "step": 23579 + }, + { + "epoch": 0.83, + "learning_rate": 1.47285116780302e-05, + "loss": 0.357, + "step": 23580 + }, + { + "epoch": 0.83, + "learning_rate": 1.472276525985523e-05, + "loss": 0.5176, + "step": 23581 + }, + { + "epoch": 0.83, + "learning_rate": 1.4717019873819082e-05, + "loss": 0.4095, + "step": 23582 + }, + { + "epoch": 0.83, + "learning_rate": 1.4711275519991252e-05, + "loss": 0.3834, + "step": 23583 + }, + { + "epoch": 0.83, + "learning_rate": 1.4705532198441318e-05, + "loss": 0.462, + "step": 23584 + }, + { + "epoch": 0.83, + "learning_rate": 1.469978990923877e-05, + "loss": 0.4345, + "step": 23585 + }, + { + "epoch": 0.83, + "learning_rate": 1.4694048652453108e-05, + "loss": 0.4105, + "step": 23586 + }, + { + "epoch": 0.83, + "learning_rate": 1.4688308428153818e-05, + "loss": 0.3301, + "step": 23587 + }, + { + "epoch": 0.83, + "learning_rate": 1.4682569236410359e-05, + "loss": 0.4872, + "step": 23588 + }, + { + "epoch": 0.83, + "learning_rate": 1.467683107729224e-05, + "loss": 0.4112, + "step": 23589 + }, + { + "epoch": 0.83, + "learning_rate": 1.4671093950868875e-05, + "loss": 0.5175, + "step": 23590 + }, + { + "epoch": 0.83, + "learning_rate": 1.4665357857209715e-05, + "loss": 0.5291, + "step": 23591 + }, + { + "epoch": 0.83, + "learning_rate": 1.4659622796384187e-05, + "loss": 0.5422, + "step": 23592 + }, + { + "epoch": 0.83, + "learning_rate": 1.4653888768461688e-05, + "loss": 0.4725, + "step": 23593 + }, + { + "epoch": 0.83, + "learning_rate": 1.4648155773511641e-05, + "loss": 0.4118, + "step": 23594 + }, + { + "epoch": 0.83, + "learning_rate": 1.4642423811603423e-05, + "loss": 0.4158, + "step": 23595 + }, + { + "epoch": 0.83, + "learning_rate": 1.4636692882806425e-05, + "loss": 0.4961, + "step": 23596 + }, + { + "epoch": 0.83, + "learning_rate": 1.4630962987189989e-05, + "loss": 0.3968, + "step": 23597 + }, + { + "epoch": 0.83, + "learning_rate": 1.462523412482345e-05, + "loss": 0.4265, + "step": 23598 + }, + { + "epoch": 0.83, + "learning_rate": 1.4619506295776198e-05, + "loss": 0.4286, + "step": 23599 + }, + { + "epoch": 0.83, + "learning_rate": 1.461377950011753e-05, + "loss": 0.3918, + "step": 23600 + }, + { + "epoch": 0.83, + "eval_loss": 0.4085943102836609, + "eval_runtime": 853.7343, + "eval_samples_per_second": 28.182, + "eval_steps_per_second": 14.091, + "step": 23600 + }, + { + "epoch": 0.83, + "learning_rate": 1.460805373791676e-05, + "loss": 0.4109, + "step": 23601 + }, + { + "epoch": 0.83, + "learning_rate": 1.4602329009243188e-05, + "loss": 0.4076, + "step": 23602 + }, + { + "epoch": 0.83, + "learning_rate": 1.459660531416609e-05, + "loss": 0.345, + "step": 23603 + }, + { + "epoch": 0.83, + "learning_rate": 1.4590882652754767e-05, + "loss": 0.4603, + "step": 23604 + }, + { + "epoch": 0.83, + "learning_rate": 1.4585161025078476e-05, + "loss": 0.4883, + "step": 23605 + }, + { + "epoch": 0.83, + "learning_rate": 1.457944043120646e-05, + "loss": 0.5209, + "step": 23606 + }, + { + "epoch": 0.83, + "learning_rate": 1.4573720871207963e-05, + "loss": 0.4024, + "step": 23607 + }, + { + "epoch": 0.83, + "learning_rate": 1.4568002345152188e-05, + "loss": 0.4018, + "step": 23608 + }, + { + "epoch": 0.83, + "learning_rate": 1.4562284853108388e-05, + "loss": 0.463, + "step": 23609 + }, + { + "epoch": 0.83, + "learning_rate": 1.4556568395145742e-05, + "loss": 0.4387, + "step": 23610 + }, + { + "epoch": 0.83, + "learning_rate": 1.455085297133344e-05, + "loss": 0.3721, + "step": 23611 + }, + { + "epoch": 0.83, + "learning_rate": 1.4545138581740657e-05, + "loss": 0.3754, + "step": 23612 + }, + { + "epoch": 0.83, + "learning_rate": 1.4539425226436554e-05, + "loss": 0.3868, + "step": 23613 + }, + { + "epoch": 0.83, + "learning_rate": 1.453371290549026e-05, + "loss": 0.3835, + "step": 23614 + }, + { + "epoch": 0.83, + "learning_rate": 1.4528001618970966e-05, + "loss": 0.4054, + "step": 23615 + }, + { + "epoch": 0.83, + "learning_rate": 1.4522291366947772e-05, + "loss": 0.3807, + "step": 23616 + }, + { + "epoch": 0.83, + "learning_rate": 1.4516582149489789e-05, + "loss": 0.452, + "step": 23617 + }, + { + "epoch": 0.83, + "learning_rate": 1.4510873966666105e-05, + "loss": 0.5086, + "step": 23618 + }, + { + "epoch": 0.83, + "learning_rate": 1.4505166818545801e-05, + "loss": 0.3964, + "step": 23619 + }, + { + "epoch": 0.83, + "learning_rate": 1.4499460705197998e-05, + "loss": 0.3827, + "step": 23620 + }, + { + "epoch": 0.83, + "learning_rate": 1.449375562669173e-05, + "loss": 0.3614, + "step": 23621 + }, + { + "epoch": 0.83, + "learning_rate": 1.4488051583096051e-05, + "loss": 0.4243, + "step": 23622 + }, + { + "epoch": 0.83, + "learning_rate": 1.4482348574479998e-05, + "loss": 0.3809, + "step": 23623 + }, + { + "epoch": 0.83, + "learning_rate": 1.447664660091258e-05, + "loss": 0.3859, + "step": 23624 + }, + { + "epoch": 0.83, + "learning_rate": 1.4470945662462832e-05, + "loss": 0.3698, + "step": 23625 + }, + { + "epoch": 0.83, + "learning_rate": 1.4465245759199764e-05, + "loss": 0.4149, + "step": 23626 + }, + { + "epoch": 0.83, + "learning_rate": 1.4459546891192344e-05, + "loss": 0.4337, + "step": 23627 + }, + { + "epoch": 0.83, + "learning_rate": 1.4453849058509549e-05, + "loss": 0.3789, + "step": 23628 + }, + { + "epoch": 0.83, + "learning_rate": 1.4448152261220316e-05, + "loss": 0.4862, + "step": 23629 + }, + { + "epoch": 0.83, + "learning_rate": 1.4442456499393654e-05, + "loss": 0.4828, + "step": 23630 + }, + { + "epoch": 0.83, + "learning_rate": 1.4436761773098472e-05, + "loss": 0.3302, + "step": 23631 + }, + { + "epoch": 0.83, + "learning_rate": 1.4431068082403687e-05, + "loss": 0.4006, + "step": 23632 + }, + { + "epoch": 0.83, + "learning_rate": 1.4425375427378218e-05, + "loss": 0.3805, + "step": 23633 + }, + { + "epoch": 0.83, + "learning_rate": 1.4419683808090945e-05, + "loss": 0.4533, + "step": 23634 + }, + { + "epoch": 0.83, + "learning_rate": 1.44139932246108e-05, + "loss": 0.4269, + "step": 23635 + }, + { + "epoch": 0.83, + "learning_rate": 1.440830367700663e-05, + "loss": 0.505, + "step": 23636 + }, + { + "epoch": 0.83, + "learning_rate": 1.44026151653473e-05, + "loss": 0.4861, + "step": 23637 + }, + { + "epoch": 0.83, + "learning_rate": 1.4396927689701666e-05, + "loss": 0.426, + "step": 23638 + }, + { + "epoch": 0.83, + "learning_rate": 1.4391241250138532e-05, + "loss": 0.4285, + "step": 23639 + }, + { + "epoch": 0.83, + "learning_rate": 1.4385555846726784e-05, + "loss": 0.4425, + "step": 23640 + }, + { + "epoch": 0.83, + "learning_rate": 1.4379871479535189e-05, + "loss": 0.3803, + "step": 23641 + }, + { + "epoch": 0.83, + "learning_rate": 1.4374188148632572e-05, + "loss": 0.4424, + "step": 23642 + }, + { + "epoch": 0.83, + "learning_rate": 1.43685058540877e-05, + "loss": 0.4563, + "step": 23643 + }, + { + "epoch": 0.83, + "learning_rate": 1.436282459596936e-05, + "loss": 0.3825, + "step": 23644 + }, + { + "epoch": 0.83, + "learning_rate": 1.4357144374346288e-05, + "loss": 0.4005, + "step": 23645 + }, + { + "epoch": 0.83, + "learning_rate": 1.4351465189287272e-05, + "loss": 0.4515, + "step": 23646 + }, + { + "epoch": 0.83, + "learning_rate": 1.4345787040861036e-05, + "loss": 0.3603, + "step": 23647 + }, + { + "epoch": 0.83, + "learning_rate": 1.4340109929136291e-05, + "loss": 0.4116, + "step": 23648 + }, + { + "epoch": 0.83, + "learning_rate": 1.4334433854181773e-05, + "loss": 0.3975, + "step": 23649 + }, + { + "epoch": 0.83, + "learning_rate": 1.4328758816066135e-05, + "loss": 0.4479, + "step": 23650 + }, + { + "epoch": 0.83, + "learning_rate": 1.4323084814858123e-05, + "loss": 0.3671, + "step": 23651 + }, + { + "epoch": 0.83, + "learning_rate": 1.4317411850626382e-05, + "loss": 0.4711, + "step": 23652 + }, + { + "epoch": 0.83, + "learning_rate": 1.4311739923439582e-05, + "loss": 0.4601, + "step": 23653 + }, + { + "epoch": 0.83, + "learning_rate": 1.4306069033366365e-05, + "loss": 0.4394, + "step": 23654 + }, + { + "epoch": 0.83, + "learning_rate": 1.4300399180475343e-05, + "loss": 0.4018, + "step": 23655 + }, + { + "epoch": 0.83, + "learning_rate": 1.4294730364835186e-05, + "loss": 0.4125, + "step": 23656 + }, + { + "epoch": 0.83, + "learning_rate": 1.428906258651449e-05, + "loss": 0.4827, + "step": 23657 + }, + { + "epoch": 0.83, + "learning_rate": 1.4283395845581849e-05, + "loss": 0.4239, + "step": 23658 + }, + { + "epoch": 0.83, + "learning_rate": 1.427773014210585e-05, + "loss": 0.4178, + "step": 23659 + }, + { + "epoch": 0.83, + "learning_rate": 1.4272065476155071e-05, + "loss": 0.3898, + "step": 23660 + }, + { + "epoch": 0.83, + "learning_rate": 1.426640184779806e-05, + "loss": 0.3635, + "step": 23661 + }, + { + "epoch": 0.83, + "learning_rate": 1.4260739257103384e-05, + "loss": 0.419, + "step": 23662 + }, + { + "epoch": 0.83, + "learning_rate": 1.4255077704139574e-05, + "loss": 0.5038, + "step": 23663 + }, + { + "epoch": 0.83, + "learning_rate": 1.4249417188975123e-05, + "loss": 0.3318, + "step": 23664 + }, + { + "epoch": 0.83, + "learning_rate": 1.4243757711678585e-05, + "loss": 0.4076, + "step": 23665 + }, + { + "epoch": 0.83, + "learning_rate": 1.423809927231845e-05, + "loss": 0.4615, + "step": 23666 + }, + { + "epoch": 0.83, + "learning_rate": 1.4232441870963198e-05, + "loss": 0.4495, + "step": 23667 + }, + { + "epoch": 0.83, + "learning_rate": 1.4226785507681296e-05, + "loss": 0.4461, + "step": 23668 + }, + { + "epoch": 0.83, + "learning_rate": 1.4221130182541188e-05, + "loss": 0.4334, + "step": 23669 + }, + { + "epoch": 0.83, + "learning_rate": 1.4215475895611374e-05, + "loss": 0.4299, + "step": 23670 + }, + { + "epoch": 0.83, + "learning_rate": 1.4209822646960258e-05, + "loss": 0.4634, + "step": 23671 + }, + { + "epoch": 0.83, + "learning_rate": 1.4204170436656262e-05, + "loss": 0.461, + "step": 23672 + }, + { + "epoch": 0.83, + "learning_rate": 1.4198519264767795e-05, + "loss": 0.4414, + "step": 23673 + }, + { + "epoch": 0.83, + "learning_rate": 1.419286913136324e-05, + "loss": 0.4641, + "step": 23674 + }, + { + "epoch": 0.83, + "learning_rate": 1.4187220036511028e-05, + "loss": 0.3774, + "step": 23675 + }, + { + "epoch": 0.83, + "learning_rate": 1.4181571980279506e-05, + "loss": 0.3763, + "step": 23676 + }, + { + "epoch": 0.83, + "learning_rate": 1.4175924962737031e-05, + "loss": 0.4044, + "step": 23677 + }, + { + "epoch": 0.83, + "learning_rate": 1.4170278983951956e-05, + "loss": 0.4067, + "step": 23678 + }, + { + "epoch": 0.83, + "learning_rate": 1.4164634043992619e-05, + "loss": 0.4147, + "step": 23679 + }, + { + "epoch": 0.83, + "learning_rate": 1.415899014292732e-05, + "loss": 0.4023, + "step": 23680 + }, + { + "epoch": 0.83, + "learning_rate": 1.4153347280824391e-05, + "loss": 0.4204, + "step": 23681 + }, + { + "epoch": 0.83, + "learning_rate": 1.4147705457752136e-05, + "loss": 0.4056, + "step": 23682 + }, + { + "epoch": 0.83, + "learning_rate": 1.4142064673778832e-05, + "loss": 0.3912, + "step": 23683 + }, + { + "epoch": 0.83, + "learning_rate": 1.4136424928972748e-05, + "loss": 0.4243, + "step": 23684 + }, + { + "epoch": 0.83, + "learning_rate": 1.4130786223402114e-05, + "loss": 0.3629, + "step": 23685 + }, + { + "epoch": 0.83, + "learning_rate": 1.4125148557135238e-05, + "loss": 0.3739, + "step": 23686 + }, + { + "epoch": 0.83, + "learning_rate": 1.4119511930240325e-05, + "loss": 0.369, + "step": 23687 + }, + { + "epoch": 0.83, + "learning_rate": 1.4113876342785592e-05, + "loss": 0.4478, + "step": 23688 + }, + { + "epoch": 0.83, + "learning_rate": 1.410824179483925e-05, + "loss": 0.4777, + "step": 23689 + }, + { + "epoch": 0.83, + "learning_rate": 1.4102608286469477e-05, + "loss": 0.3685, + "step": 23690 + }, + { + "epoch": 0.83, + "learning_rate": 1.4096975817744507e-05, + "loss": 0.4359, + "step": 23691 + }, + { + "epoch": 0.83, + "learning_rate": 1.4091344388732475e-05, + "loss": 0.3716, + "step": 23692 + }, + { + "epoch": 0.83, + "learning_rate": 1.4085713999501548e-05, + "loss": 0.4785, + "step": 23693 + }, + { + "epoch": 0.83, + "learning_rate": 1.4080084650119885e-05, + "loss": 0.378, + "step": 23694 + }, + { + "epoch": 0.83, + "learning_rate": 1.4074456340655572e-05, + "loss": 0.4452, + "step": 23695 + }, + { + "epoch": 0.83, + "learning_rate": 1.4068829071176793e-05, + "loss": 0.4651, + "step": 23696 + }, + { + "epoch": 0.83, + "learning_rate": 1.4063202841751632e-05, + "loss": 0.3169, + "step": 23697 + }, + { + "epoch": 0.83, + "learning_rate": 1.4057577652448172e-05, + "loss": 0.5233, + "step": 23698 + }, + { + "epoch": 0.83, + "learning_rate": 1.4051953503334514e-05, + "loss": 0.4632, + "step": 23699 + }, + { + "epoch": 0.83, + "learning_rate": 1.4046330394478702e-05, + "loss": 0.4712, + "step": 23700 + }, + { + "epoch": 0.83, + "learning_rate": 1.4040708325948837e-05, + "loss": 0.4266, + "step": 23701 + }, + { + "epoch": 0.83, + "learning_rate": 1.4035087297812944e-05, + "loss": 0.4348, + "step": 23702 + }, + { + "epoch": 0.83, + "learning_rate": 1.4029467310139043e-05, + "loss": 0.4569, + "step": 23703 + }, + { + "epoch": 0.83, + "learning_rate": 1.4023848362995174e-05, + "loss": 0.4786, + "step": 23704 + }, + { + "epoch": 0.83, + "learning_rate": 1.4018230456449322e-05, + "loss": 0.4481, + "step": 23705 + }, + { + "epoch": 0.83, + "learning_rate": 1.4012613590569512e-05, + "loss": 0.3838, + "step": 23706 + }, + { + "epoch": 0.83, + "learning_rate": 1.4006997765423713e-05, + "loss": 0.3587, + "step": 23707 + }, + { + "epoch": 0.83, + "learning_rate": 1.400138298107989e-05, + "loss": 0.3572, + "step": 23708 + }, + { + "epoch": 0.83, + "learning_rate": 1.3995769237606004e-05, + "loss": 0.403, + "step": 23709 + }, + { + "epoch": 0.83, + "learning_rate": 1.3990156535069988e-05, + "loss": 0.3398, + "step": 23710 + }, + { + "epoch": 0.83, + "learning_rate": 1.3984544873539807e-05, + "loss": 0.422, + "step": 23711 + }, + { + "epoch": 0.83, + "learning_rate": 1.3978934253083354e-05, + "loss": 0.4827, + "step": 23712 + }, + { + "epoch": 0.83, + "learning_rate": 1.397332467376855e-05, + "loss": 0.3814, + "step": 23713 + }, + { + "epoch": 0.83, + "learning_rate": 1.396771613566329e-05, + "loss": 0.4465, + "step": 23714 + }, + { + "epoch": 0.83, + "learning_rate": 1.3962108638835435e-05, + "loss": 0.3647, + "step": 23715 + }, + { + "epoch": 0.83, + "learning_rate": 1.395650218335285e-05, + "loss": 0.3332, + "step": 23716 + }, + { + "epoch": 0.83, + "learning_rate": 1.3950896769283439e-05, + "loss": 0.4283, + "step": 23717 + }, + { + "epoch": 0.83, + "learning_rate": 1.394529239669501e-05, + "loss": 0.454, + "step": 23718 + }, + { + "epoch": 0.83, + "learning_rate": 1.3939689065655404e-05, + "loss": 0.4119, + "step": 23719 + }, + { + "epoch": 0.83, + "learning_rate": 1.3934086776232447e-05, + "loss": 0.428, + "step": 23720 + }, + { + "epoch": 0.83, + "learning_rate": 1.3928485528493906e-05, + "loss": 0.461, + "step": 23721 + }, + { + "epoch": 0.83, + "learning_rate": 1.3922885322507628e-05, + "loss": 0.4391, + "step": 23722 + }, + { + "epoch": 0.83, + "learning_rate": 1.391728615834137e-05, + "loss": 0.4078, + "step": 23723 + }, + { + "epoch": 0.83, + "learning_rate": 1.3911688036062897e-05, + "loss": 0.4672, + "step": 23724 + }, + { + "epoch": 0.83, + "learning_rate": 1.3906090955739982e-05, + "loss": 0.372, + "step": 23725 + }, + { + "epoch": 0.83, + "learning_rate": 1.3900494917440332e-05, + "loss": 0.377, + "step": 23726 + }, + { + "epoch": 0.83, + "learning_rate": 1.389489992123172e-05, + "loss": 0.3612, + "step": 23727 + }, + { + "epoch": 0.83, + "learning_rate": 1.3889305967181843e-05, + "loss": 0.3722, + "step": 23728 + }, + { + "epoch": 0.83, + "learning_rate": 1.3883713055358415e-05, + "loss": 0.4113, + "step": 23729 + }, + { + "epoch": 0.83, + "learning_rate": 1.3878121185829118e-05, + "loss": 0.3293, + "step": 23730 + }, + { + "epoch": 0.83, + "learning_rate": 1.3872530358661617e-05, + "loss": 0.4524, + "step": 23731 + }, + { + "epoch": 0.83, + "learning_rate": 1.3866940573923627e-05, + "loss": 0.3967, + "step": 23732 + }, + { + "epoch": 0.83, + "learning_rate": 1.3861351831682767e-05, + "loss": 0.408, + "step": 23733 + }, + { + "epoch": 0.83, + "learning_rate": 1.3855764132006699e-05, + "loss": 0.4065, + "step": 23734 + }, + { + "epoch": 0.83, + "learning_rate": 1.3850177474963033e-05, + "loss": 0.4158, + "step": 23735 + }, + { + "epoch": 0.83, + "learning_rate": 1.3844591860619383e-05, + "loss": 0.4111, + "step": 23736 + }, + { + "epoch": 0.83, + "learning_rate": 1.3839007289043381e-05, + "loss": 0.4321, + "step": 23737 + }, + { + "epoch": 0.83, + "learning_rate": 1.3833423760302611e-05, + "loss": 0.3987, + "step": 23738 + }, + { + "epoch": 0.83, + "learning_rate": 1.3827841274464637e-05, + "loss": 0.3739, + "step": 23739 + }, + { + "epoch": 0.83, + "learning_rate": 1.382225983159704e-05, + "loss": 0.3972, + "step": 23740 + }, + { + "epoch": 0.83, + "learning_rate": 1.3816679431767354e-05, + "loss": 0.5106, + "step": 23741 + }, + { + "epoch": 0.83, + "learning_rate": 1.3811100075043149e-05, + "loss": 0.4089, + "step": 23742 + }, + { + "epoch": 0.83, + "learning_rate": 1.3805521761491935e-05, + "loss": 0.4466, + "step": 23743 + }, + { + "epoch": 0.83, + "learning_rate": 1.3799944491181238e-05, + "loss": 0.423, + "step": 23744 + }, + { + "epoch": 0.83, + "learning_rate": 1.3794368264178548e-05, + "loss": 0.5015, + "step": 23745 + }, + { + "epoch": 0.83, + "learning_rate": 1.3788793080551376e-05, + "loss": 0.3858, + "step": 23746 + }, + { + "epoch": 0.83, + "learning_rate": 1.378321894036716e-05, + "loss": 0.4583, + "step": 23747 + }, + { + "epoch": 0.83, + "learning_rate": 1.377764584369341e-05, + "loss": 0.3799, + "step": 23748 + }, + { + "epoch": 0.83, + "learning_rate": 1.3772073790597572e-05, + "loss": 0.3896, + "step": 23749 + }, + { + "epoch": 0.83, + "learning_rate": 1.3766502781147084e-05, + "loss": 0.3935, + "step": 23750 + }, + { + "epoch": 0.83, + "learning_rate": 1.3760932815409355e-05, + "loss": 0.408, + "step": 23751 + }, + { + "epoch": 0.83, + "learning_rate": 1.3755363893451789e-05, + "loss": 0.3972, + "step": 23752 + }, + { + "epoch": 0.83, + "learning_rate": 1.3749796015341843e-05, + "loss": 0.3529, + "step": 23753 + }, + { + "epoch": 0.83, + "learning_rate": 1.3744229181146873e-05, + "loss": 0.3458, + "step": 23754 + }, + { + "epoch": 0.83, + "learning_rate": 1.3738663390934259e-05, + "loss": 0.4063, + "step": 23755 + }, + { + "epoch": 0.83, + "learning_rate": 1.373309864477137e-05, + "loss": 0.4751, + "step": 23756 + }, + { + "epoch": 0.83, + "learning_rate": 1.3727534942725529e-05, + "loss": 0.3879, + "step": 23757 + }, + { + "epoch": 0.83, + "learning_rate": 1.3721972284864116e-05, + "loss": 0.4252, + "step": 23758 + }, + { + "epoch": 0.83, + "learning_rate": 1.3716410671254443e-05, + "loss": 0.3455, + "step": 23759 + }, + { + "epoch": 0.83, + "learning_rate": 1.3710850101963835e-05, + "loss": 0.378, + "step": 23760 + }, + { + "epoch": 0.83, + "learning_rate": 1.3705290577059571e-05, + "loss": 0.4591, + "step": 23761 + }, + { + "epoch": 0.83, + "learning_rate": 1.369973209660893e-05, + "loss": 0.4405, + "step": 23762 + }, + { + "epoch": 0.83, + "learning_rate": 1.3694174660679226e-05, + "loss": 0.4589, + "step": 23763 + }, + { + "epoch": 0.83, + "learning_rate": 1.3688618269337706e-05, + "loss": 0.3567, + "step": 23764 + }, + { + "epoch": 0.83, + "learning_rate": 1.3683062922651624e-05, + "loss": 0.4123, + "step": 23765 + }, + { + "epoch": 0.83, + "learning_rate": 1.3677508620688218e-05, + "loss": 0.4297, + "step": 23766 + }, + { + "epoch": 0.83, + "learning_rate": 1.3671955363514676e-05, + "loss": 0.4536, + "step": 23767 + }, + { + "epoch": 0.83, + "learning_rate": 1.3666403151198271e-05, + "loss": 0.4854, + "step": 23768 + }, + { + "epoch": 0.83, + "learning_rate": 1.3660851983806177e-05, + "loss": 0.4512, + "step": 23769 + }, + { + "epoch": 0.83, + "learning_rate": 1.365530186140559e-05, + "loss": 0.4988, + "step": 23770 + }, + { + "epoch": 0.83, + "learning_rate": 1.3649752784063662e-05, + "loss": 0.392, + "step": 23771 + }, + { + "epoch": 0.83, + "learning_rate": 1.3644204751847555e-05, + "loss": 0.413, + "step": 23772 + }, + { + "epoch": 0.83, + "learning_rate": 1.3638657764824459e-05, + "loss": 0.4144, + "step": 23773 + }, + { + "epoch": 0.83, + "learning_rate": 1.3633111823061473e-05, + "loss": 0.416, + "step": 23774 + }, + { + "epoch": 0.83, + "learning_rate": 1.3627566926625745e-05, + "loss": 0.4288, + "step": 23775 + }, + { + "epoch": 0.83, + "learning_rate": 1.3622023075584367e-05, + "loss": 0.444, + "step": 23776 + }, + { + "epoch": 0.83, + "learning_rate": 1.361648027000445e-05, + "loss": 0.3348, + "step": 23777 + }, + { + "epoch": 0.83, + "learning_rate": 1.3610938509953065e-05, + "loss": 0.3984, + "step": 23778 + }, + { + "epoch": 0.83, + "learning_rate": 1.360539779549731e-05, + "loss": 0.4681, + "step": 23779 + }, + { + "epoch": 0.83, + "learning_rate": 1.3599858126704223e-05, + "loss": 0.4327, + "step": 23780 + }, + { + "epoch": 0.83, + "learning_rate": 1.3594319503640884e-05, + "loss": 0.5296, + "step": 23781 + }, + { + "epoch": 0.83, + "learning_rate": 1.3588781926374294e-05, + "loss": 0.4235, + "step": 23782 + }, + { + "epoch": 0.83, + "learning_rate": 1.3583245394971467e-05, + "loss": 0.4309, + "step": 23783 + }, + { + "epoch": 0.83, + "learning_rate": 1.3577709909499469e-05, + "loss": 0.4447, + "step": 23784 + }, + { + "epoch": 0.83, + "learning_rate": 1.357217547002526e-05, + "loss": 0.3914, + "step": 23785 + }, + { + "epoch": 0.83, + "learning_rate": 1.3566642076615832e-05, + "loss": 0.5382, + "step": 23786 + }, + { + "epoch": 0.83, + "learning_rate": 1.356110972933815e-05, + "loss": 0.4847, + "step": 23787 + }, + { + "epoch": 0.83, + "learning_rate": 1.3555578428259163e-05, + "loss": 0.3661, + "step": 23788 + }, + { + "epoch": 0.83, + "learning_rate": 1.3550048173445861e-05, + "loss": 0.5457, + "step": 23789 + }, + { + "epoch": 0.83, + "learning_rate": 1.3544518964965148e-05, + "loss": 0.4141, + "step": 23790 + }, + { + "epoch": 0.83, + "learning_rate": 1.3538990802883955e-05, + "loss": 0.3834, + "step": 23791 + }, + { + "epoch": 0.83, + "learning_rate": 1.3533463687269176e-05, + "loss": 0.3859, + "step": 23792 + }, + { + "epoch": 0.83, + "learning_rate": 1.3527937618187714e-05, + "loss": 0.4291, + "step": 23793 + }, + { + "epoch": 0.83, + "learning_rate": 1.3522412595706468e-05, + "loss": 0.3736, + "step": 23794 + }, + { + "epoch": 0.83, + "learning_rate": 1.3516888619892321e-05, + "loss": 0.3563, + "step": 23795 + }, + { + "epoch": 0.83, + "learning_rate": 1.3511365690812084e-05, + "loss": 0.4679, + "step": 23796 + }, + { + "epoch": 0.83, + "learning_rate": 1.3505843808532604e-05, + "loss": 0.4526, + "step": 23797 + }, + { + "epoch": 0.83, + "learning_rate": 1.3500322973120771e-05, + "loss": 0.3916, + "step": 23798 + }, + { + "epoch": 0.83, + "learning_rate": 1.3494803184643357e-05, + "loss": 0.4457, + "step": 23799 + }, + { + "epoch": 0.83, + "learning_rate": 1.3489284443167193e-05, + "loss": 0.4021, + "step": 23800 + }, + { + "epoch": 0.83, + "eval_loss": 0.4073745310306549, + "eval_runtime": 855.4661, + "eval_samples_per_second": 28.125, + "eval_steps_per_second": 14.063, + "step": 23800 + }, + { + "epoch": 0.83, + "learning_rate": 1.3483766748759075e-05, + "loss": 0.4471, + "step": 23801 + }, + { + "epoch": 0.83, + "learning_rate": 1.3478250101485746e-05, + "loss": 0.4388, + "step": 23802 + }, + { + "epoch": 0.83, + "learning_rate": 1.347273450141403e-05, + "loss": 0.3849, + "step": 23803 + }, + { + "epoch": 0.83, + "learning_rate": 1.3467219948610654e-05, + "loss": 0.4806, + "step": 23804 + }, + { + "epoch": 0.83, + "learning_rate": 1.3461706443142386e-05, + "loss": 0.3887, + "step": 23805 + }, + { + "epoch": 0.83, + "learning_rate": 1.3456193985075927e-05, + "loss": 0.4331, + "step": 23806 + }, + { + "epoch": 0.83, + "learning_rate": 1.3450682574477991e-05, + "loss": 0.3766, + "step": 23807 + }, + { + "epoch": 0.83, + "learning_rate": 1.3445172211415324e-05, + "loss": 0.4088, + "step": 23808 + }, + { + "epoch": 0.83, + "learning_rate": 1.3439662895954608e-05, + "loss": 0.4469, + "step": 23809 + }, + { + "epoch": 0.83, + "learning_rate": 1.343415462816251e-05, + "loss": 0.448, + "step": 23810 + }, + { + "epoch": 0.83, + "learning_rate": 1.34286474081057e-05, + "loss": 0.4422, + "step": 23811 + }, + { + "epoch": 0.83, + "learning_rate": 1.3423141235850845e-05, + "loss": 0.3428, + "step": 23812 + }, + { + "epoch": 0.83, + "learning_rate": 1.3417636111464549e-05, + "loss": 0.4365, + "step": 23813 + }, + { + "epoch": 0.83, + "learning_rate": 1.3412132035013502e-05, + "loss": 0.4878, + "step": 23814 + }, + { + "epoch": 0.83, + "learning_rate": 1.3406629006564298e-05, + "loss": 0.4558, + "step": 23815 + }, + { + "epoch": 0.83, + "learning_rate": 1.3401127026183535e-05, + "loss": 0.4318, + "step": 23816 + }, + { + "epoch": 0.83, + "learning_rate": 1.3395626093937808e-05, + "loss": 0.4063, + "step": 23817 + }, + { + "epoch": 0.83, + "learning_rate": 1.3390126209893672e-05, + "loss": 0.3717, + "step": 23818 + }, + { + "epoch": 0.83, + "learning_rate": 1.3384627374117742e-05, + "loss": 0.418, + "step": 23819 + }, + { + "epoch": 0.83, + "learning_rate": 1.3379129586676542e-05, + "loss": 0.3755, + "step": 23820 + }, + { + "epoch": 0.83, + "learning_rate": 1.337363284763663e-05, + "loss": 0.3478, + "step": 23821 + }, + { + "epoch": 0.83, + "learning_rate": 1.336813715706452e-05, + "loss": 0.4568, + "step": 23822 + }, + { + "epoch": 0.83, + "learning_rate": 1.3362642515026713e-05, + "loss": 0.4683, + "step": 23823 + }, + { + "epoch": 0.83, + "learning_rate": 1.3357148921589757e-05, + "loss": 0.4673, + "step": 23824 + }, + { + "epoch": 0.83, + "learning_rate": 1.335165637682012e-05, + "loss": 0.3687, + "step": 23825 + }, + { + "epoch": 0.83, + "learning_rate": 1.3346164880784274e-05, + "loss": 0.3836, + "step": 23826 + }, + { + "epoch": 0.83, + "learning_rate": 1.3340674433548694e-05, + "loss": 0.4399, + "step": 23827 + }, + { + "epoch": 0.83, + "learning_rate": 1.3335185035179799e-05, + "loss": 0.3821, + "step": 23828 + }, + { + "epoch": 0.83, + "learning_rate": 1.3329696685744086e-05, + "loss": 0.431, + "step": 23829 + }, + { + "epoch": 0.83, + "learning_rate": 1.332420938530795e-05, + "loss": 0.3936, + "step": 23830 + }, + { + "epoch": 0.83, + "learning_rate": 1.3318723133937816e-05, + "loss": 0.4171, + "step": 23831 + }, + { + "epoch": 0.83, + "learning_rate": 1.3313237931700073e-05, + "loss": 0.4135, + "step": 23832 + }, + { + "epoch": 0.83, + "learning_rate": 1.3307753778661091e-05, + "loss": 0.5208, + "step": 23833 + }, + { + "epoch": 0.83, + "learning_rate": 1.3302270674887307e-05, + "loss": 0.3871, + "step": 23834 + }, + { + "epoch": 0.83, + "learning_rate": 1.3296788620445044e-05, + "loss": 0.3887, + "step": 23835 + }, + { + "epoch": 0.83, + "learning_rate": 1.3291307615400661e-05, + "loss": 0.3773, + "step": 23836 + }, + { + "epoch": 0.83, + "learning_rate": 1.3285827659820493e-05, + "loss": 0.4299, + "step": 23837 + }, + { + "epoch": 0.83, + "learning_rate": 1.3280348753770844e-05, + "loss": 0.3601, + "step": 23838 + }, + { + "epoch": 0.83, + "learning_rate": 1.327487089731807e-05, + "loss": 0.398, + "step": 23839 + }, + { + "epoch": 0.83, + "learning_rate": 1.3269394090528465e-05, + "loss": 0.4525, + "step": 23840 + }, + { + "epoch": 0.83, + "learning_rate": 1.3263918333468295e-05, + "loss": 0.4425, + "step": 23841 + }, + { + "epoch": 0.83, + "learning_rate": 1.3258443626203842e-05, + "loss": 0.4675, + "step": 23842 + }, + { + "epoch": 0.83, + "learning_rate": 1.3252969968801354e-05, + "loss": 0.459, + "step": 23843 + }, + { + "epoch": 0.83, + "learning_rate": 1.324749736132711e-05, + "loss": 0.397, + "step": 23844 + }, + { + "epoch": 0.83, + "learning_rate": 1.3242025803847336e-05, + "loss": 0.4148, + "step": 23845 + }, + { + "epoch": 0.83, + "learning_rate": 1.3236555296428255e-05, + "loss": 0.4261, + "step": 23846 + }, + { + "epoch": 0.83, + "learning_rate": 1.3231085839136081e-05, + "loss": 0.4191, + "step": 23847 + }, + { + "epoch": 0.83, + "learning_rate": 1.3225617432036996e-05, + "loss": 0.3866, + "step": 23848 + }, + { + "epoch": 0.83, + "learning_rate": 1.322015007519719e-05, + "loss": 0.392, + "step": 23849 + }, + { + "epoch": 0.83, + "learning_rate": 1.3214683768682856e-05, + "loss": 0.3929, + "step": 23850 + }, + { + "epoch": 0.83, + "learning_rate": 1.3209218512560151e-05, + "loss": 0.3482, + "step": 23851 + }, + { + "epoch": 0.83, + "learning_rate": 1.320375430689521e-05, + "loss": 0.3728, + "step": 23852 + }, + { + "epoch": 0.83, + "learning_rate": 1.3198291151754171e-05, + "loss": 0.4491, + "step": 23853 + }, + { + "epoch": 0.83, + "learning_rate": 1.3192829047203136e-05, + "loss": 0.3986, + "step": 23854 + }, + { + "epoch": 0.83, + "learning_rate": 1.3187367993308264e-05, + "loss": 0.4056, + "step": 23855 + }, + { + "epoch": 0.83, + "learning_rate": 1.3181907990135622e-05, + "loss": 0.4451, + "step": 23856 + }, + { + "epoch": 0.83, + "learning_rate": 1.3176449037751293e-05, + "loss": 0.477, + "step": 23857 + }, + { + "epoch": 0.83, + "learning_rate": 1.3170991136221355e-05, + "loss": 0.5128, + "step": 23858 + }, + { + "epoch": 0.83, + "learning_rate": 1.3165534285611847e-05, + "loss": 0.4593, + "step": 23859 + }, + { + "epoch": 0.83, + "learning_rate": 1.3160078485988858e-05, + "loss": 0.3717, + "step": 23860 + }, + { + "epoch": 0.83, + "learning_rate": 1.3154623737418382e-05, + "loss": 0.4012, + "step": 23861 + }, + { + "epoch": 0.84, + "learning_rate": 1.3149170039966463e-05, + "loss": 0.4571, + "step": 23862 + }, + { + "epoch": 0.84, + "learning_rate": 1.3143717393699095e-05, + "loss": 0.4587, + "step": 23863 + }, + { + "epoch": 0.84, + "learning_rate": 1.3138265798682259e-05, + "loss": 0.4296, + "step": 23864 + }, + { + "epoch": 0.84, + "learning_rate": 1.3132815254981978e-05, + "loss": 0.4341, + "step": 23865 + }, + { + "epoch": 0.84, + "learning_rate": 1.3127365762664202e-05, + "loss": 0.4624, + "step": 23866 + }, + { + "epoch": 0.84, + "learning_rate": 1.3121917321794885e-05, + "loss": 0.4641, + "step": 23867 + }, + { + "epoch": 0.84, + "learning_rate": 1.3116469932439968e-05, + "loss": 0.4279, + "step": 23868 + }, + { + "epoch": 0.84, + "learning_rate": 1.311102359466536e-05, + "loss": 0.3481, + "step": 23869 + }, + { + "epoch": 0.84, + "learning_rate": 1.3105578308537037e-05, + "loss": 0.495, + "step": 23870 + }, + { + "epoch": 0.84, + "learning_rate": 1.3100134074120873e-05, + "loss": 0.3899, + "step": 23871 + }, + { + "epoch": 0.84, + "learning_rate": 1.3094690891482764e-05, + "loss": 0.4294, + "step": 23872 + }, + { + "epoch": 0.84, + "learning_rate": 1.3089248760688588e-05, + "loss": 0.3891, + "step": 23873 + }, + { + "epoch": 0.84, + "learning_rate": 1.3083807681804194e-05, + "loss": 0.45, + "step": 23874 + }, + { + "epoch": 0.84, + "learning_rate": 1.3078367654895485e-05, + "loss": 0.4593, + "step": 23875 + }, + { + "epoch": 0.84, + "learning_rate": 1.3072928680028262e-05, + "loss": 0.4926, + "step": 23876 + }, + { + "epoch": 0.84, + "learning_rate": 1.3067490757268386e-05, + "loss": 0.4901, + "step": 23877 + }, + { + "epoch": 0.84, + "learning_rate": 1.3062053886681646e-05, + "loss": 0.5398, + "step": 23878 + }, + { + "epoch": 0.84, + "learning_rate": 1.3056618068333858e-05, + "loss": 0.4994, + "step": 23879 + }, + { + "epoch": 0.84, + "learning_rate": 1.3051183302290792e-05, + "loss": 0.4736, + "step": 23880 + }, + { + "epoch": 0.84, + "learning_rate": 1.3045749588618272e-05, + "loss": 0.3613, + "step": 23881 + }, + { + "epoch": 0.84, + "learning_rate": 1.3040316927382035e-05, + "loss": 0.5006, + "step": 23882 + }, + { + "epoch": 0.84, + "learning_rate": 1.3034885318647839e-05, + "loss": 0.4302, + "step": 23883 + }, + { + "epoch": 0.84, + "learning_rate": 1.302945476248143e-05, + "loss": 0.4179, + "step": 23884 + }, + { + "epoch": 0.84, + "learning_rate": 1.3024025258948502e-05, + "loss": 0.4328, + "step": 23885 + }, + { + "epoch": 0.84, + "learning_rate": 1.3018596808114824e-05, + "loss": 0.3969, + "step": 23886 + }, + { + "epoch": 0.84, + "learning_rate": 1.3013169410046078e-05, + "loss": 0.5142, + "step": 23887 + }, + { + "epoch": 0.84, + "learning_rate": 1.3007743064807943e-05, + "loss": 0.389, + "step": 23888 + }, + { + "epoch": 0.84, + "learning_rate": 1.30023177724661e-05, + "loss": 0.4535, + "step": 23889 + }, + { + "epoch": 0.84, + "learning_rate": 1.2996893533086196e-05, + "loss": 0.5456, + "step": 23890 + }, + { + "epoch": 0.84, + "learning_rate": 1.2991470346733913e-05, + "loss": 0.4584, + "step": 23891 + }, + { + "epoch": 0.84, + "learning_rate": 1.2986048213474888e-05, + "loss": 0.4009, + "step": 23892 + }, + { + "epoch": 0.84, + "learning_rate": 1.2980627133374734e-05, + "loss": 0.4103, + "step": 23893 + }, + { + "epoch": 0.84, + "learning_rate": 1.2975207106499065e-05, + "loss": 0.4093, + "step": 23894 + }, + { + "epoch": 0.84, + "learning_rate": 1.2969788132913464e-05, + "loss": 0.4529, + "step": 23895 + }, + { + "epoch": 0.84, + "learning_rate": 1.2964370212683551e-05, + "loss": 0.5802, + "step": 23896 + }, + { + "epoch": 0.84, + "learning_rate": 1.2958953345874902e-05, + "loss": 0.4124, + "step": 23897 + }, + { + "epoch": 0.84, + "learning_rate": 1.295353753255305e-05, + "loss": 0.3993, + "step": 23898 + }, + { + "epoch": 0.84, + "learning_rate": 1.2948122772783566e-05, + "loss": 0.4147, + "step": 23899 + }, + { + "epoch": 0.84, + "learning_rate": 1.2942709066631952e-05, + "loss": 0.456, + "step": 23900 + }, + { + "epoch": 0.84, + "learning_rate": 1.2937296414163791e-05, + "loss": 0.3118, + "step": 23901 + }, + { + "epoch": 0.84, + "learning_rate": 1.2931884815444551e-05, + "loss": 0.3774, + "step": 23902 + }, + { + "epoch": 0.84, + "learning_rate": 1.2926474270539756e-05, + "loss": 0.4248, + "step": 23903 + }, + { + "epoch": 0.84, + "learning_rate": 1.2921064779514869e-05, + "loss": 0.4651, + "step": 23904 + }, + { + "epoch": 0.84, + "learning_rate": 1.2915656342435345e-05, + "loss": 0.4789, + "step": 23905 + }, + { + "epoch": 0.84, + "learning_rate": 1.2910248959366699e-05, + "loss": 0.3881, + "step": 23906 + }, + { + "epoch": 0.84, + "learning_rate": 1.2904842630374347e-05, + "loss": 0.3637, + "step": 23907 + }, + { + "epoch": 0.84, + "learning_rate": 1.2899437355523724e-05, + "loss": 0.4329, + "step": 23908 + }, + { + "epoch": 0.84, + "learning_rate": 1.2894033134880269e-05, + "loss": 0.4712, + "step": 23909 + }, + { + "epoch": 0.84, + "learning_rate": 1.2888629968509335e-05, + "loss": 0.3863, + "step": 23910 + }, + { + "epoch": 0.84, + "learning_rate": 1.2883227856476388e-05, + "loss": 0.3622, + "step": 23911 + }, + { + "epoch": 0.84, + "learning_rate": 1.2877826798846793e-05, + "loss": 0.4287, + "step": 23912 + }, + { + "epoch": 0.84, + "learning_rate": 1.28724267956859e-05, + "loss": 0.4104, + "step": 23913 + }, + { + "epoch": 0.84, + "learning_rate": 1.2867027847059088e-05, + "loss": 0.4907, + "step": 23914 + }, + { + "epoch": 0.84, + "learning_rate": 1.2861629953031684e-05, + "loss": 0.4499, + "step": 23915 + }, + { + "epoch": 0.84, + "learning_rate": 1.2856233113669004e-05, + "loss": 0.4433, + "step": 23916 + }, + { + "epoch": 0.84, + "learning_rate": 1.2850837329036425e-05, + "loss": 0.43, + "step": 23917 + }, + { + "epoch": 0.84, + "learning_rate": 1.284544259919922e-05, + "loss": 0.4058, + "step": 23918 + }, + { + "epoch": 0.84, + "learning_rate": 1.284004892422268e-05, + "loss": 0.3421, + "step": 23919 + }, + { + "epoch": 0.84, + "learning_rate": 1.2834656304172088e-05, + "loss": 0.4068, + "step": 23920 + }, + { + "epoch": 0.84, + "learning_rate": 1.28292647391127e-05, + "loss": 0.4865, + "step": 23921 + }, + { + "epoch": 0.84, + "learning_rate": 1.2823874229109812e-05, + "loss": 0.3608, + "step": 23922 + }, + { + "epoch": 0.84, + "learning_rate": 1.2818484774228635e-05, + "loss": 0.4121, + "step": 23923 + }, + { + "epoch": 0.84, + "learning_rate": 1.2813096374534417e-05, + "loss": 0.3924, + "step": 23924 + }, + { + "epoch": 0.84, + "learning_rate": 1.2807709030092362e-05, + "loss": 0.3524, + "step": 23925 + }, + { + "epoch": 0.84, + "learning_rate": 1.2802322740967654e-05, + "loss": 0.3676, + "step": 23926 + }, + { + "epoch": 0.84, + "learning_rate": 1.2796937507225537e-05, + "loss": 0.3883, + "step": 23927 + }, + { + "epoch": 0.84, + "learning_rate": 1.279155332893116e-05, + "loss": 0.3536, + "step": 23928 + }, + { + "epoch": 0.84, + "learning_rate": 1.2786170206149718e-05, + "loss": 0.4502, + "step": 23929 + }, + { + "epoch": 0.84, + "learning_rate": 1.2780788138946287e-05, + "loss": 0.4402, + "step": 23930 + }, + { + "epoch": 0.84, + "learning_rate": 1.2775407127386085e-05, + "loss": 0.4153, + "step": 23931 + }, + { + "epoch": 0.84, + "learning_rate": 1.2770027171534226e-05, + "loss": 0.4788, + "step": 23932 + }, + { + "epoch": 0.84, + "learning_rate": 1.2764648271455804e-05, + "loss": 0.3229, + "step": 23933 + }, + { + "epoch": 0.84, + "learning_rate": 1.2759270427215942e-05, + "loss": 0.4349, + "step": 23934 + }, + { + "epoch": 0.84, + "learning_rate": 1.2753893638879689e-05, + "loss": 0.4281, + "step": 23935 + }, + { + "epoch": 0.84, + "learning_rate": 1.274851790651218e-05, + "loss": 0.4191, + "step": 23936 + }, + { + "epoch": 0.84, + "learning_rate": 1.2743143230178457e-05, + "loss": 0.3298, + "step": 23937 + }, + { + "epoch": 0.84, + "learning_rate": 1.2737769609943562e-05, + "loss": 0.4262, + "step": 23938 + }, + { + "epoch": 0.84, + "learning_rate": 1.2732397045872535e-05, + "loss": 0.5367, + "step": 23939 + }, + { + "epoch": 0.84, + "learning_rate": 1.272702553803039e-05, + "loss": 0.4034, + "step": 23940 + }, + { + "epoch": 0.84, + "learning_rate": 1.2721655086482176e-05, + "loss": 0.453, + "step": 23941 + }, + { + "epoch": 0.84, + "learning_rate": 1.2716285691292873e-05, + "loss": 0.4072, + "step": 23942 + }, + { + "epoch": 0.84, + "learning_rate": 1.2710917352527463e-05, + "loss": 0.372, + "step": 23943 + }, + { + "epoch": 0.84, + "learning_rate": 1.2705550070250938e-05, + "loss": 0.4337, + "step": 23944 + }, + { + "epoch": 0.84, + "learning_rate": 1.2700183844528224e-05, + "loss": 0.3543, + "step": 23945 + }, + { + "epoch": 0.84, + "learning_rate": 1.2694818675424314e-05, + "loss": 0.5176, + "step": 23946 + }, + { + "epoch": 0.84, + "learning_rate": 1.2689454563004133e-05, + "loss": 0.4657, + "step": 23947 + }, + { + "epoch": 0.84, + "learning_rate": 1.2684091507332586e-05, + "loss": 0.3478, + "step": 23948 + }, + { + "epoch": 0.84, + "learning_rate": 1.2678729508474595e-05, + "loss": 0.3995, + "step": 23949 + }, + { + "epoch": 0.84, + "learning_rate": 1.267336856649507e-05, + "loss": 0.4833, + "step": 23950 + }, + { + "epoch": 0.84, + "learning_rate": 1.2668008681458853e-05, + "loss": 0.3815, + "step": 23951 + }, + { + "epoch": 0.84, + "learning_rate": 1.2662649853430874e-05, + "loss": 0.4407, + "step": 23952 + }, + { + "epoch": 0.84, + "learning_rate": 1.2657292082475959e-05, + "loss": 0.4232, + "step": 23953 + }, + { + "epoch": 0.84, + "learning_rate": 1.2651935368658973e-05, + "loss": 0.474, + "step": 23954 + }, + { + "epoch": 0.84, + "learning_rate": 1.2646579712044736e-05, + "loss": 0.3486, + "step": 23955 + }, + { + "epoch": 0.84, + "learning_rate": 1.2641225112698052e-05, + "loss": 0.4163, + "step": 23956 + }, + { + "epoch": 0.84, + "learning_rate": 1.2635871570683765e-05, + "loss": 0.4427, + "step": 23957 + }, + { + "epoch": 0.84, + "learning_rate": 1.2630519086066661e-05, + "loss": 0.4009, + "step": 23958 + }, + { + "epoch": 0.84, + "learning_rate": 1.262516765891152e-05, + "loss": 0.425, + "step": 23959 + }, + { + "epoch": 0.84, + "learning_rate": 1.2619817289283097e-05, + "loss": 0.3765, + "step": 23960 + }, + { + "epoch": 0.84, + "learning_rate": 1.2614467977246159e-05, + "loss": 0.4224, + "step": 23961 + }, + { + "epoch": 0.84, + "learning_rate": 1.2609119722865459e-05, + "loss": 0.4695, + "step": 23962 + }, + { + "epoch": 0.84, + "learning_rate": 1.2603772526205737e-05, + "loss": 0.4413, + "step": 23963 + }, + { + "epoch": 0.84, + "learning_rate": 1.2598426387331696e-05, + "loss": 0.4161, + "step": 23964 + }, + { + "epoch": 0.84, + "learning_rate": 1.2593081306308042e-05, + "loss": 0.3983, + "step": 23965 + }, + { + "epoch": 0.84, + "learning_rate": 1.2587737283199441e-05, + "loss": 0.4206, + "step": 23966 + }, + { + "epoch": 0.84, + "learning_rate": 1.2582394318070633e-05, + "loss": 0.398, + "step": 23967 + }, + { + "epoch": 0.84, + "learning_rate": 1.2577052410986257e-05, + "loss": 0.4461, + "step": 23968 + }, + { + "epoch": 0.84, + "learning_rate": 1.2571711562010969e-05, + "loss": 0.5116, + "step": 23969 + }, + { + "epoch": 0.84, + "learning_rate": 1.2566371771209407e-05, + "loss": 0.4416, + "step": 23970 + }, + { + "epoch": 0.84, + "learning_rate": 1.2561033038646175e-05, + "loss": 0.4134, + "step": 23971 + }, + { + "epoch": 0.84, + "learning_rate": 1.2555695364385944e-05, + "loss": 0.3498, + "step": 23972 + }, + { + "epoch": 0.84, + "learning_rate": 1.2550358748493286e-05, + "loss": 0.3529, + "step": 23973 + }, + { + "epoch": 0.84, + "learning_rate": 1.2545023191032801e-05, + "loss": 0.4881, + "step": 23974 + }, + { + "epoch": 0.84, + "learning_rate": 1.2539688692069062e-05, + "loss": 0.3828, + "step": 23975 + }, + { + "epoch": 0.84, + "learning_rate": 1.2534355251666608e-05, + "loss": 0.4626, + "step": 23976 + }, + { + "epoch": 0.84, + "learning_rate": 1.252902286989004e-05, + "loss": 0.4919, + "step": 23977 + }, + { + "epoch": 0.84, + "learning_rate": 1.2523691546803873e-05, + "loss": 0.4019, + "step": 23978 + }, + { + "epoch": 0.84, + "learning_rate": 1.2518361282472645e-05, + "loss": 0.4429, + "step": 23979 + }, + { + "epoch": 0.84, + "learning_rate": 1.251303207696085e-05, + "loss": 0.5075, + "step": 23980 + }, + { + "epoch": 0.84, + "learning_rate": 1.2507703930333014e-05, + "loss": 0.5402, + "step": 23981 + }, + { + "epoch": 0.84, + "learning_rate": 1.2502376842653585e-05, + "loss": 0.4993, + "step": 23982 + }, + { + "epoch": 0.84, + "learning_rate": 1.2497050813987078e-05, + "loss": 0.3317, + "step": 23983 + }, + { + "epoch": 0.84, + "learning_rate": 1.249172584439795e-05, + "loss": 0.4935, + "step": 23984 + }, + { + "epoch": 0.84, + "learning_rate": 1.2486401933950643e-05, + "loss": 0.4307, + "step": 23985 + }, + { + "epoch": 0.84, + "learning_rate": 1.2481079082709602e-05, + "loss": 0.4181, + "step": 23986 + }, + { + "epoch": 0.84, + "learning_rate": 1.247575729073921e-05, + "loss": 0.4496, + "step": 23987 + }, + { + "epoch": 0.84, + "learning_rate": 1.2470436558103938e-05, + "loss": 0.3565, + "step": 23988 + }, + { + "epoch": 0.84, + "learning_rate": 1.2465116884868167e-05, + "loss": 0.4529, + "step": 23989 + }, + { + "epoch": 0.84, + "learning_rate": 1.2459798271096268e-05, + "loss": 0.4197, + "step": 23990 + }, + { + "epoch": 0.84, + "learning_rate": 1.2454480716852624e-05, + "loss": 0.4999, + "step": 23991 + }, + { + "epoch": 0.84, + "learning_rate": 1.244916422220156e-05, + "loss": 0.3789, + "step": 23992 + }, + { + "epoch": 0.84, + "learning_rate": 1.244384878720749e-05, + "loss": 0.3733, + "step": 23993 + }, + { + "epoch": 0.84, + "learning_rate": 1.243853441193471e-05, + "loss": 0.4502, + "step": 23994 + }, + { + "epoch": 0.84, + "learning_rate": 1.2433221096447534e-05, + "loss": 0.4274, + "step": 23995 + }, + { + "epoch": 0.84, + "learning_rate": 1.2427908840810298e-05, + "loss": 0.4087, + "step": 23996 + }, + { + "epoch": 0.84, + "learning_rate": 1.2422597645087252e-05, + "loss": 0.388, + "step": 23997 + }, + { + "epoch": 0.84, + "learning_rate": 1.2417287509342734e-05, + "loss": 0.3807, + "step": 23998 + }, + { + "epoch": 0.84, + "learning_rate": 1.2411978433640991e-05, + "loss": 0.4827, + "step": 23999 + }, + { + "epoch": 0.84, + "learning_rate": 1.2406670418046273e-05, + "loss": 0.376, + "step": 24000 + }, + { + "epoch": 0.84, + "eval_loss": 0.4063355028629303, + "eval_runtime": 853.5803, + "eval_samples_per_second": 28.187, + "eval_steps_per_second": 14.094, + "step": 24000 + }, + { + "epoch": 0.84, + "learning_rate": 1.240136346262284e-05, + "loss": 0.3569, + "step": 24001 + }, + { + "epoch": 0.84, + "learning_rate": 1.2396057567434882e-05, + "loss": 0.453, + "step": 24002 + }, + { + "epoch": 0.84, + "learning_rate": 1.2390752732546684e-05, + "loss": 0.4724, + "step": 24003 + }, + { + "epoch": 0.84, + "learning_rate": 1.2385448958022417e-05, + "loss": 0.3738, + "step": 24004 + }, + { + "epoch": 0.84, + "learning_rate": 1.2380146243926272e-05, + "loss": 0.4059, + "step": 24005 + }, + { + "epoch": 0.84, + "learning_rate": 1.2374844590322432e-05, + "loss": 0.3786, + "step": 24006 + }, + { + "epoch": 0.84, + "learning_rate": 1.2369543997275045e-05, + "loss": 0.4133, + "step": 24007 + }, + { + "epoch": 0.84, + "learning_rate": 1.2364244464848318e-05, + "loss": 0.4292, + "step": 24008 + }, + { + "epoch": 0.84, + "learning_rate": 1.2358945993106352e-05, + "loss": 0.4167, + "step": 24009 + }, + { + "epoch": 0.84, + "learning_rate": 1.2353648582113286e-05, + "loss": 0.4662, + "step": 24010 + }, + { + "epoch": 0.84, + "learning_rate": 1.2348352231933246e-05, + "loss": 0.4155, + "step": 24011 + }, + { + "epoch": 0.84, + "learning_rate": 1.2343056942630304e-05, + "loss": 0.4337, + "step": 24012 + }, + { + "epoch": 0.84, + "learning_rate": 1.2337762714268586e-05, + "loss": 0.4426, + "step": 24013 + }, + { + "epoch": 0.84, + "learning_rate": 1.2332469546912162e-05, + "loss": 0.4091, + "step": 24014 + }, + { + "epoch": 0.84, + "learning_rate": 1.2327177440625092e-05, + "loss": 0.3436, + "step": 24015 + }, + { + "epoch": 0.84, + "learning_rate": 1.2321886395471428e-05, + "loss": 0.4246, + "step": 24016 + }, + { + "epoch": 0.84, + "learning_rate": 1.2316596411515213e-05, + "loss": 0.4038, + "step": 24017 + }, + { + "epoch": 0.84, + "learning_rate": 1.2311307488820445e-05, + "loss": 0.5013, + "step": 24018 + }, + { + "epoch": 0.84, + "learning_rate": 1.2306019627451181e-05, + "loss": 0.4176, + "step": 24019 + }, + { + "epoch": 0.84, + "learning_rate": 1.2300732827471406e-05, + "loss": 0.345, + "step": 24020 + }, + { + "epoch": 0.84, + "learning_rate": 1.22954470889451e-05, + "loss": 0.416, + "step": 24021 + }, + { + "epoch": 0.84, + "learning_rate": 1.2290162411936246e-05, + "loss": 0.4238, + "step": 24022 + }, + { + "epoch": 0.84, + "learning_rate": 1.228487879650878e-05, + "loss": 0.3528, + "step": 24023 + }, + { + "epoch": 0.84, + "learning_rate": 1.2279596242726699e-05, + "loss": 0.3497, + "step": 24024 + }, + { + "epoch": 0.84, + "learning_rate": 1.2274314750653915e-05, + "loss": 0.341, + "step": 24025 + }, + { + "epoch": 0.84, + "learning_rate": 1.2269034320354356e-05, + "loss": 0.5035, + "step": 24026 + }, + { + "epoch": 0.84, + "learning_rate": 1.2263754951891927e-05, + "loss": 0.4279, + "step": 24027 + }, + { + "epoch": 0.84, + "learning_rate": 1.2258476645330496e-05, + "loss": 0.4096, + "step": 24028 + }, + { + "epoch": 0.84, + "learning_rate": 1.2253199400734005e-05, + "loss": 0.4333, + "step": 24029 + }, + { + "epoch": 0.84, + "learning_rate": 1.2247923218166302e-05, + "loss": 0.4423, + "step": 24030 + }, + { + "epoch": 0.84, + "learning_rate": 1.2242648097691256e-05, + "loss": 0.4187, + "step": 24031 + }, + { + "epoch": 0.84, + "learning_rate": 1.2237374039372685e-05, + "loss": 0.4506, + "step": 24032 + }, + { + "epoch": 0.84, + "learning_rate": 1.2232101043274436e-05, + "loss": 0.4336, + "step": 24033 + }, + { + "epoch": 0.84, + "learning_rate": 1.2226829109460335e-05, + "loss": 0.499, + "step": 24034 + }, + { + "epoch": 0.84, + "learning_rate": 1.2221558237994213e-05, + "loss": 0.4002, + "step": 24035 + }, + { + "epoch": 0.84, + "learning_rate": 1.2216288428939826e-05, + "loss": 0.4078, + "step": 24036 + }, + { + "epoch": 0.84, + "learning_rate": 1.221101968236097e-05, + "loss": 0.3566, + "step": 24037 + }, + { + "epoch": 0.84, + "learning_rate": 1.2205751998321402e-05, + "loss": 0.3986, + "step": 24038 + }, + { + "epoch": 0.84, + "learning_rate": 1.2200485376884918e-05, + "loss": 0.4974, + "step": 24039 + }, + { + "epoch": 0.84, + "learning_rate": 1.2195219818115222e-05, + "loss": 0.4023, + "step": 24040 + }, + { + "epoch": 0.84, + "learning_rate": 1.2189955322076074e-05, + "loss": 0.5045, + "step": 24041 + }, + { + "epoch": 0.84, + "learning_rate": 1.2184691888831168e-05, + "loss": 0.3935, + "step": 24042 + }, + { + "epoch": 0.84, + "learning_rate": 1.2179429518444196e-05, + "loss": 0.4633, + "step": 24043 + }, + { + "epoch": 0.84, + "learning_rate": 1.2174168210978897e-05, + "loss": 0.3812, + "step": 24044 + }, + { + "epoch": 0.84, + "learning_rate": 1.2168907966498922e-05, + "loss": 0.4205, + "step": 24045 + }, + { + "epoch": 0.84, + "learning_rate": 1.216364878506795e-05, + "loss": 0.3933, + "step": 24046 + }, + { + "epoch": 0.84, + "learning_rate": 1.215839066674962e-05, + "loss": 0.3683, + "step": 24047 + }, + { + "epoch": 0.84, + "learning_rate": 1.215313361160758e-05, + "loss": 0.3965, + "step": 24048 + }, + { + "epoch": 0.84, + "learning_rate": 1.2147877619705428e-05, + "loss": 0.3813, + "step": 24049 + }, + { + "epoch": 0.84, + "learning_rate": 1.2142622691106841e-05, + "loss": 0.4455, + "step": 24050 + }, + { + "epoch": 0.84, + "learning_rate": 1.2137368825875373e-05, + "loss": 0.3819, + "step": 24051 + }, + { + "epoch": 0.84, + "learning_rate": 1.2132116024074635e-05, + "loss": 0.3664, + "step": 24052 + }, + { + "epoch": 0.84, + "learning_rate": 1.2126864285768202e-05, + "loss": 0.3857, + "step": 24053 + }, + { + "epoch": 0.84, + "learning_rate": 1.2121613611019612e-05, + "loss": 0.462, + "step": 24054 + }, + { + "epoch": 0.84, + "learning_rate": 1.2116363999892443e-05, + "loss": 0.4291, + "step": 24055 + }, + { + "epoch": 0.84, + "learning_rate": 1.211111545245024e-05, + "loss": 0.4127, + "step": 24056 + }, + { + "epoch": 0.84, + "learning_rate": 1.2105867968756501e-05, + "loss": 0.3435, + "step": 24057 + }, + { + "epoch": 0.84, + "learning_rate": 1.2100621548874758e-05, + "loss": 0.3759, + "step": 24058 + }, + { + "epoch": 0.84, + "learning_rate": 1.209537619286848e-05, + "loss": 0.4493, + "step": 24059 + }, + { + "epoch": 0.84, + "learning_rate": 1.2090131900801194e-05, + "loss": 0.53, + "step": 24060 + }, + { + "epoch": 0.84, + "learning_rate": 1.2084888672736349e-05, + "loss": 0.3676, + "step": 24061 + }, + { + "epoch": 0.84, + "learning_rate": 1.2079646508737418e-05, + "loss": 0.3664, + "step": 24062 + }, + { + "epoch": 0.84, + "learning_rate": 1.207440540886785e-05, + "loss": 0.458, + "step": 24063 + }, + { + "epoch": 0.84, + "learning_rate": 1.206916537319106e-05, + "loss": 0.402, + "step": 24064 + }, + { + "epoch": 0.84, + "learning_rate": 1.2063926401770498e-05, + "loss": 0.3619, + "step": 24065 + }, + { + "epoch": 0.84, + "learning_rate": 1.2058688494669546e-05, + "loss": 0.4209, + "step": 24066 + }, + { + "epoch": 0.84, + "learning_rate": 1.2053451651951608e-05, + "loss": 0.422, + "step": 24067 + }, + { + "epoch": 0.84, + "learning_rate": 1.2048215873680057e-05, + "loss": 0.4107, + "step": 24068 + }, + { + "epoch": 0.84, + "learning_rate": 1.2042981159918287e-05, + "loss": 0.4611, + "step": 24069 + }, + { + "epoch": 0.84, + "learning_rate": 1.2037747510729658e-05, + "loss": 0.4944, + "step": 24070 + }, + { + "epoch": 0.84, + "learning_rate": 1.2032514926177495e-05, + "loss": 0.3791, + "step": 24071 + }, + { + "epoch": 0.84, + "learning_rate": 1.202728340632514e-05, + "loss": 0.4391, + "step": 24072 + }, + { + "epoch": 0.84, + "learning_rate": 1.2022052951235884e-05, + "loss": 0.5107, + "step": 24073 + }, + { + "epoch": 0.84, + "learning_rate": 1.2016823560973078e-05, + "loss": 0.4345, + "step": 24074 + }, + { + "epoch": 0.84, + "learning_rate": 1.2011595235599993e-05, + "loss": 0.3752, + "step": 24075 + }, + { + "epoch": 0.84, + "learning_rate": 1.2006367975179922e-05, + "loss": 0.3789, + "step": 24076 + }, + { + "epoch": 0.84, + "learning_rate": 1.2001141779776103e-05, + "loss": 0.3708, + "step": 24077 + }, + { + "epoch": 0.84, + "learning_rate": 1.19959166494518e-05, + "loss": 0.4146, + "step": 24078 + }, + { + "epoch": 0.84, + "learning_rate": 1.199069258427028e-05, + "loss": 0.3755, + "step": 24079 + }, + { + "epoch": 0.84, + "learning_rate": 1.1985469584294761e-05, + "loss": 0.447, + "step": 24080 + }, + { + "epoch": 0.84, + "learning_rate": 1.1980247649588438e-05, + "loss": 0.5009, + "step": 24081 + }, + { + "epoch": 0.84, + "learning_rate": 1.1975026780214537e-05, + "loss": 0.4304, + "step": 24082 + }, + { + "epoch": 0.84, + "learning_rate": 1.1969806976236243e-05, + "loss": 0.4057, + "step": 24083 + }, + { + "epoch": 0.84, + "learning_rate": 1.1964588237716701e-05, + "loss": 0.3693, + "step": 24084 + }, + { + "epoch": 0.84, + "learning_rate": 1.195937056471913e-05, + "loss": 0.5407, + "step": 24085 + }, + { + "epoch": 0.84, + "learning_rate": 1.1954153957306647e-05, + "loss": 0.431, + "step": 24086 + }, + { + "epoch": 0.84, + "learning_rate": 1.19489384155424e-05, + "loss": 0.4076, + "step": 24087 + }, + { + "epoch": 0.84, + "learning_rate": 1.1943723939489516e-05, + "loss": 0.4699, + "step": 24088 + }, + { + "epoch": 0.84, + "learning_rate": 1.1938510529211078e-05, + "loss": 0.429, + "step": 24089 + }, + { + "epoch": 0.84, + "learning_rate": 1.1933298184770225e-05, + "loss": 0.4078, + "step": 24090 + }, + { + "epoch": 0.84, + "learning_rate": 1.192808690623004e-05, + "loss": 0.3783, + "step": 24091 + }, + { + "epoch": 0.84, + "learning_rate": 1.1922876693653585e-05, + "loss": 0.4758, + "step": 24092 + }, + { + "epoch": 0.84, + "learning_rate": 1.1917667547103928e-05, + "loss": 0.4865, + "step": 24093 + }, + { + "epoch": 0.84, + "learning_rate": 1.1912459466644077e-05, + "loss": 0.4705, + "step": 24094 + }, + { + "epoch": 0.84, + "learning_rate": 1.1907252452337136e-05, + "loss": 0.4295, + "step": 24095 + }, + { + "epoch": 0.84, + "learning_rate": 1.190204650424609e-05, + "loss": 0.3859, + "step": 24096 + }, + { + "epoch": 0.84, + "learning_rate": 1.1896841622433952e-05, + "loss": 0.4385, + "step": 24097 + }, + { + "epoch": 0.84, + "learning_rate": 1.1891637806963707e-05, + "loss": 0.436, + "step": 24098 + }, + { + "epoch": 0.84, + "learning_rate": 1.1886435057898337e-05, + "loss": 0.3626, + "step": 24099 + }, + { + "epoch": 0.84, + "learning_rate": 1.1881233375300849e-05, + "loss": 0.3982, + "step": 24100 + }, + { + "epoch": 0.84, + "learning_rate": 1.1876032759234168e-05, + "loss": 0.4588, + "step": 24101 + }, + { + "epoch": 0.84, + "learning_rate": 1.1870833209761257e-05, + "loss": 0.4363, + "step": 24102 + }, + { + "epoch": 0.84, + "learning_rate": 1.1865634726945029e-05, + "loss": 0.4438, + "step": 24103 + }, + { + "epoch": 0.84, + "learning_rate": 1.1860437310848405e-05, + "loss": 0.4369, + "step": 24104 + }, + { + "epoch": 0.84, + "learning_rate": 1.1855240961534308e-05, + "loss": 0.4144, + "step": 24105 + }, + { + "epoch": 0.84, + "learning_rate": 1.1850045679065624e-05, + "loss": 0.364, + "step": 24106 + }, + { + "epoch": 0.84, + "learning_rate": 1.1844851463505236e-05, + "loss": 0.4201, + "step": 24107 + }, + { + "epoch": 0.84, + "learning_rate": 1.183965831491599e-05, + "loss": 0.4343, + "step": 24108 + }, + { + "epoch": 0.84, + "learning_rate": 1.1834466233360752e-05, + "loss": 0.4714, + "step": 24109 + }, + { + "epoch": 0.84, + "learning_rate": 1.182927521890238e-05, + "loss": 0.3399, + "step": 24110 + }, + { + "epoch": 0.84, + "learning_rate": 1.1824085271603703e-05, + "loss": 0.3922, + "step": 24111 + }, + { + "epoch": 0.84, + "learning_rate": 1.1818896391527512e-05, + "loss": 0.4071, + "step": 24112 + }, + { + "epoch": 0.84, + "learning_rate": 1.1813708578736627e-05, + "loss": 0.3725, + "step": 24113 + }, + { + "epoch": 0.84, + "learning_rate": 1.1808521833293807e-05, + "loss": 0.3807, + "step": 24114 + }, + { + "epoch": 0.84, + "learning_rate": 1.1803336155261879e-05, + "loss": 0.4531, + "step": 24115 + }, + { + "epoch": 0.84, + "learning_rate": 1.1798151544703584e-05, + "loss": 0.4492, + "step": 24116 + }, + { + "epoch": 0.84, + "learning_rate": 1.179296800168167e-05, + "loss": 0.3993, + "step": 24117 + }, + { + "epoch": 0.84, + "learning_rate": 1.1787785526258876e-05, + "loss": 0.3479, + "step": 24118 + }, + { + "epoch": 0.84, + "learning_rate": 1.1782604118497931e-05, + "loss": 0.4267, + "step": 24119 + }, + { + "epoch": 0.84, + "learning_rate": 1.1777423778461517e-05, + "loss": 0.4801, + "step": 24120 + }, + { + "epoch": 0.84, + "learning_rate": 1.1772244506212383e-05, + "loss": 0.3824, + "step": 24121 + }, + { + "epoch": 0.84, + "learning_rate": 1.17670663018132e-05, + "loss": 0.3519, + "step": 24122 + }, + { + "epoch": 0.84, + "learning_rate": 1.1761889165326633e-05, + "loss": 0.4317, + "step": 24123 + }, + { + "epoch": 0.84, + "learning_rate": 1.1756713096815342e-05, + "loss": 0.3844, + "step": 24124 + }, + { + "epoch": 0.84, + "learning_rate": 1.1751538096341952e-05, + "loss": 0.496, + "step": 24125 + }, + { + "epoch": 0.84, + "learning_rate": 1.1746364163969148e-05, + "loss": 0.4061, + "step": 24126 + }, + { + "epoch": 0.84, + "learning_rate": 1.1741191299759535e-05, + "loss": 0.434, + "step": 24127 + }, + { + "epoch": 0.84, + "learning_rate": 1.1736019503775698e-05, + "loss": 0.4337, + "step": 24128 + }, + { + "epoch": 0.84, + "learning_rate": 1.1730848776080261e-05, + "loss": 0.3947, + "step": 24129 + }, + { + "epoch": 0.84, + "learning_rate": 1.1725679116735766e-05, + "loss": 0.3922, + "step": 24130 + }, + { + "epoch": 0.84, + "learning_rate": 1.172051052580484e-05, + "loss": 0.4111, + "step": 24131 + }, + { + "epoch": 0.84, + "learning_rate": 1.171534300335001e-05, + "loss": 0.3648, + "step": 24132 + }, + { + "epoch": 0.84, + "learning_rate": 1.1710176549433816e-05, + "loss": 0.403, + "step": 24133 + }, + { + "epoch": 0.84, + "learning_rate": 1.1705011164118796e-05, + "loss": 0.4269, + "step": 24134 + }, + { + "epoch": 0.84, + "learning_rate": 1.1699846847467455e-05, + "loss": 0.3814, + "step": 24135 + }, + { + "epoch": 0.84, + "learning_rate": 1.1694683599542333e-05, + "loss": 0.3686, + "step": 24136 + }, + { + "epoch": 0.84, + "learning_rate": 1.168952142040589e-05, + "loss": 0.3688, + "step": 24137 + }, + { + "epoch": 0.84, + "learning_rate": 1.1684360310120624e-05, + "loss": 0.4994, + "step": 24138 + }, + { + "epoch": 0.84, + "learning_rate": 1.167920026874899e-05, + "loss": 0.3828, + "step": 24139 + }, + { + "epoch": 0.84, + "learning_rate": 1.1674041296353422e-05, + "loss": 0.5079, + "step": 24140 + }, + { + "epoch": 0.84, + "learning_rate": 1.166888339299641e-05, + "loss": 0.4148, + "step": 24141 + }, + { + "epoch": 0.84, + "learning_rate": 1.1663726558740362e-05, + "loss": 0.4405, + "step": 24142 + }, + { + "epoch": 0.84, + "learning_rate": 1.1658570793647683e-05, + "loss": 0.3534, + "step": 24143 + }, + { + "epoch": 0.84, + "learning_rate": 1.1653416097780778e-05, + "loss": 0.3656, + "step": 24144 + }, + { + "epoch": 0.84, + "learning_rate": 1.1648262471202009e-05, + "loss": 0.3975, + "step": 24145 + }, + { + "epoch": 0.84, + "learning_rate": 1.1643109913973815e-05, + "loss": 0.3794, + "step": 24146 + }, + { + "epoch": 0.84, + "learning_rate": 1.1637958426158513e-05, + "loss": 0.3959, + "step": 24147 + }, + { + "epoch": 0.85, + "learning_rate": 1.1632808007818475e-05, + "loss": 0.4773, + "step": 24148 + }, + { + "epoch": 0.85, + "learning_rate": 1.1627658659016016e-05, + "loss": 0.4361, + "step": 24149 + }, + { + "epoch": 0.85, + "learning_rate": 1.1622510379813478e-05, + "loss": 0.4053, + "step": 24150 + }, + { + "epoch": 0.85, + "learning_rate": 1.1617363170273144e-05, + "loss": 0.3691, + "step": 24151 + }, + { + "epoch": 0.85, + "learning_rate": 1.161221703045735e-05, + "loss": 0.4083, + "step": 24152 + }, + { + "epoch": 0.85, + "learning_rate": 1.1607071960428384e-05, + "loss": 0.4162, + "step": 24153 + }, + { + "epoch": 0.85, + "learning_rate": 1.1601927960248483e-05, + "loss": 0.3971, + "step": 24154 + }, + { + "epoch": 0.85, + "learning_rate": 1.159678502997993e-05, + "loss": 0.401, + "step": 24155 + }, + { + "epoch": 0.85, + "learning_rate": 1.1591643169684952e-05, + "loss": 0.4687, + "step": 24156 + }, + { + "epoch": 0.85, + "learning_rate": 1.15865023794258e-05, + "loss": 0.4083, + "step": 24157 + }, + { + "epoch": 0.85, + "learning_rate": 1.1581362659264705e-05, + "loss": 0.5051, + "step": 24158 + }, + { + "epoch": 0.85, + "learning_rate": 1.1576224009263859e-05, + "loss": 0.4869, + "step": 24159 + }, + { + "epoch": 0.85, + "learning_rate": 1.1571086429485456e-05, + "loss": 0.4582, + "step": 24160 + }, + { + "epoch": 0.85, + "learning_rate": 1.156594991999167e-05, + "loss": 0.4202, + "step": 24161 + }, + { + "epoch": 0.85, + "learning_rate": 1.1560814480844684e-05, + "loss": 0.3881, + "step": 24162 + }, + { + "epoch": 0.85, + "learning_rate": 1.155568011210666e-05, + "loss": 0.4708, + "step": 24163 + }, + { + "epoch": 0.85, + "learning_rate": 1.1550546813839735e-05, + "loss": 0.4843, + "step": 24164 + }, + { + "epoch": 0.85, + "learning_rate": 1.154541458610603e-05, + "loss": 0.4113, + "step": 24165 + }, + { + "epoch": 0.85, + "learning_rate": 1.1540283428967646e-05, + "loss": 0.4632, + "step": 24166 + }, + { + "epoch": 0.85, + "learning_rate": 1.1535153342486726e-05, + "loss": 0.5063, + "step": 24167 + }, + { + "epoch": 0.85, + "learning_rate": 1.1530024326725353e-05, + "loss": 0.4441, + "step": 24168 + }, + { + "epoch": 0.85, + "learning_rate": 1.1524896381745587e-05, + "loss": 0.359, + "step": 24169 + }, + { + "epoch": 0.85, + "learning_rate": 1.1519769507609513e-05, + "loss": 0.4508, + "step": 24170 + }, + { + "epoch": 0.85, + "learning_rate": 1.1514643704379147e-05, + "loss": 0.3721, + "step": 24171 + }, + { + "epoch": 0.85, + "learning_rate": 1.1509518972116572e-05, + "loss": 0.4499, + "step": 24172 + }, + { + "epoch": 0.85, + "learning_rate": 1.1504395310883798e-05, + "loss": 0.4266, + "step": 24173 + }, + { + "epoch": 0.85, + "learning_rate": 1.1499272720742827e-05, + "loss": 0.3531, + "step": 24174 + }, + { + "epoch": 0.85, + "learning_rate": 1.1494151201755676e-05, + "loss": 0.4513, + "step": 24175 + }, + { + "epoch": 0.85, + "learning_rate": 1.148903075398431e-05, + "loss": 0.3448, + "step": 24176 + }, + { + "epoch": 0.85, + "learning_rate": 1.148391137749073e-05, + "loss": 0.444, + "step": 24177 + }, + { + "epoch": 0.85, + "learning_rate": 1.1478793072336892e-05, + "loss": 0.3792, + "step": 24178 + }, + { + "epoch": 0.85, + "learning_rate": 1.147367583858474e-05, + "loss": 0.4098, + "step": 24179 + }, + { + "epoch": 0.85, + "learning_rate": 1.146855967629621e-05, + "loss": 0.3509, + "step": 24180 + }, + { + "epoch": 0.85, + "learning_rate": 1.1463444585533212e-05, + "loss": 0.45, + "step": 24181 + }, + { + "epoch": 0.85, + "learning_rate": 1.1458330566357656e-05, + "loss": 0.3631, + "step": 24182 + }, + { + "epoch": 0.85, + "learning_rate": 1.1453217618831469e-05, + "loss": 0.412, + "step": 24183 + }, + { + "epoch": 0.85, + "learning_rate": 1.1448105743016514e-05, + "loss": 0.4107, + "step": 24184 + }, + { + "epoch": 0.85, + "learning_rate": 1.1442994938974661e-05, + "loss": 0.434, + "step": 24185 + }, + { + "epoch": 0.85, + "learning_rate": 1.1437885206767773e-05, + "loss": 0.447, + "step": 24186 + }, + { + "epoch": 0.85, + "learning_rate": 1.1432776546457669e-05, + "loss": 0.4886, + "step": 24187 + }, + { + "epoch": 0.85, + "learning_rate": 1.1427668958106219e-05, + "loss": 0.3653, + "step": 24188 + }, + { + "epoch": 0.85, + "learning_rate": 1.142256244177523e-05, + "loss": 0.3857, + "step": 24189 + }, + { + "epoch": 0.85, + "learning_rate": 1.141745699752651e-05, + "loss": 0.3499, + "step": 24190 + }, + { + "epoch": 0.85, + "learning_rate": 1.141235262542184e-05, + "loss": 0.4349, + "step": 24191 + }, + { + "epoch": 0.85, + "learning_rate": 1.1407249325522983e-05, + "loss": 0.3095, + "step": 24192 + }, + { + "epoch": 0.85, + "learning_rate": 1.1402147097891758e-05, + "loss": 0.4011, + "step": 24193 + }, + { + "epoch": 0.85, + "learning_rate": 1.1397045942589879e-05, + "loss": 0.4921, + "step": 24194 + }, + { + "epoch": 0.85, + "learning_rate": 1.1391945859679098e-05, + "loss": 0.4366, + "step": 24195 + }, + { + "epoch": 0.85, + "learning_rate": 1.1386846849221145e-05, + "loss": 0.4027, + "step": 24196 + }, + { + "epoch": 0.85, + "learning_rate": 1.1381748911277712e-05, + "loss": 0.4498, + "step": 24197 + }, + { + "epoch": 0.85, + "learning_rate": 1.1376652045910552e-05, + "loss": 0.3971, + "step": 24198 + }, + { + "epoch": 0.85, + "learning_rate": 1.1371556253181337e-05, + "loss": 0.419, + "step": 24199 + }, + { + "epoch": 0.85, + "learning_rate": 1.1366461533151706e-05, + "loss": 0.5067, + "step": 24200 + }, + { + "epoch": 0.85, + "eval_loss": 0.4052059054374695, + "eval_runtime": 844.0209, + "eval_samples_per_second": 28.506, + "eval_steps_per_second": 14.253, + "step": 24200 + }, + { + "epoch": 0.85, + "learning_rate": 1.1361367885883322e-05, + "loss": 0.3842, + "step": 24201 + }, + { + "epoch": 0.85, + "learning_rate": 1.1356275311437892e-05, + "loss": 0.4163, + "step": 24202 + }, + { + "epoch": 0.85, + "learning_rate": 1.135118380987701e-05, + "loss": 0.3728, + "step": 24203 + }, + { + "epoch": 0.85, + "learning_rate": 1.1346093381262314e-05, + "loss": 0.4277, + "step": 24204 + }, + { + "epoch": 0.85, + "learning_rate": 1.1341004025655411e-05, + "loss": 0.4486, + "step": 24205 + }, + { + "epoch": 0.85, + "learning_rate": 1.1335915743117875e-05, + "loss": 0.4039, + "step": 24206 + }, + { + "epoch": 0.85, + "learning_rate": 1.1330828533711347e-05, + "loss": 0.4059, + "step": 24207 + }, + { + "epoch": 0.85, + "learning_rate": 1.1325742397497364e-05, + "loss": 0.4502, + "step": 24208 + }, + { + "epoch": 0.85, + "learning_rate": 1.1320657334537488e-05, + "loss": 0.4093, + "step": 24209 + }, + { + "epoch": 0.85, + "learning_rate": 1.131557334489326e-05, + "loss": 0.3741, + "step": 24210 + }, + { + "epoch": 0.85, + "learning_rate": 1.1310490428626209e-05, + "loss": 0.3989, + "step": 24211 + }, + { + "epoch": 0.85, + "learning_rate": 1.1305408585797871e-05, + "loss": 0.4225, + "step": 24212 + }, + { + "epoch": 0.85, + "learning_rate": 1.1300327816469769e-05, + "loss": 0.4321, + "step": 24213 + }, + { + "epoch": 0.85, + "learning_rate": 1.1295248120703362e-05, + "loss": 0.4506, + "step": 24214 + }, + { + "epoch": 0.85, + "learning_rate": 1.1290169498560143e-05, + "loss": 0.3811, + "step": 24215 + }, + { + "epoch": 0.85, + "learning_rate": 1.1285091950101578e-05, + "loss": 0.4312, + "step": 24216 + }, + { + "epoch": 0.85, + "learning_rate": 1.1280015475389139e-05, + "loss": 0.3981, + "step": 24217 + }, + { + "epoch": 0.85, + "learning_rate": 1.1274940074484253e-05, + "loss": 0.3919, + "step": 24218 + }, + { + "epoch": 0.85, + "learning_rate": 1.1269865747448349e-05, + "loss": 0.4286, + "step": 24219 + }, + { + "epoch": 0.85, + "learning_rate": 1.1264792494342857e-05, + "loss": 0.4326, + "step": 24220 + }, + { + "epoch": 0.85, + "learning_rate": 1.1259720315229172e-05, + "loss": 0.4259, + "step": 24221 + }, + { + "epoch": 0.85, + "learning_rate": 1.1254649210168655e-05, + "loss": 0.4646, + "step": 24222 + }, + { + "epoch": 0.85, + "learning_rate": 1.1249579179222736e-05, + "loss": 0.3506, + "step": 24223 + }, + { + "epoch": 0.85, + "learning_rate": 1.1244510222452742e-05, + "loss": 0.4182, + "step": 24224 + }, + { + "epoch": 0.85, + "learning_rate": 1.1239442339920047e-05, + "loss": 0.444, + "step": 24225 + }, + { + "epoch": 0.85, + "learning_rate": 1.1234375531685981e-05, + "loss": 0.4399, + "step": 24226 + }, + { + "epoch": 0.85, + "learning_rate": 1.1229309797811838e-05, + "loss": 0.3993, + "step": 24227 + }, + { + "epoch": 0.85, + "learning_rate": 1.122424513835898e-05, + "loss": 0.3556, + "step": 24228 + }, + { + "epoch": 0.85, + "learning_rate": 1.1219181553388692e-05, + "loss": 0.4147, + "step": 24229 + }, + { + "epoch": 0.85, + "learning_rate": 1.1214119042962257e-05, + "loss": 0.4517, + "step": 24230 + }, + { + "epoch": 0.85, + "learning_rate": 1.1209057607140938e-05, + "loss": 0.5012, + "step": 24231 + }, + { + "epoch": 0.85, + "learning_rate": 1.1203997245985976e-05, + "loss": 0.4132, + "step": 24232 + }, + { + "epoch": 0.85, + "learning_rate": 1.1198937959558676e-05, + "loss": 0.4576, + "step": 24233 + }, + { + "epoch": 0.85, + "learning_rate": 1.1193879747920234e-05, + "loss": 0.4804, + "step": 24234 + }, + { + "epoch": 0.85, + "learning_rate": 1.1188822611131877e-05, + "loss": 0.4187, + "step": 24235 + }, + { + "epoch": 0.85, + "learning_rate": 1.1183766549254815e-05, + "loss": 0.4994, + "step": 24236 + }, + { + "epoch": 0.85, + "learning_rate": 1.117871156235023e-05, + "loss": 0.4241, + "step": 24237 + }, + { + "epoch": 0.85, + "learning_rate": 1.117365765047933e-05, + "loss": 0.3669, + "step": 24238 + }, + { + "epoch": 0.85, + "learning_rate": 1.1168604813703266e-05, + "loss": 0.4151, + "step": 24239 + }, + { + "epoch": 0.85, + "learning_rate": 1.1163553052083208e-05, + "loss": 0.4133, + "step": 24240 + }, + { + "epoch": 0.85, + "learning_rate": 1.1158502365680278e-05, + "loss": 0.4319, + "step": 24241 + }, + { + "epoch": 0.85, + "learning_rate": 1.1153452754555604e-05, + "loss": 0.4213, + "step": 24242 + }, + { + "epoch": 0.85, + "learning_rate": 1.1148404218770347e-05, + "loss": 0.4732, + "step": 24243 + }, + { + "epoch": 0.85, + "learning_rate": 1.1143356758385571e-05, + "loss": 0.4189, + "step": 24244 + }, + { + "epoch": 0.85, + "learning_rate": 1.113831037346238e-05, + "loss": 0.4411, + "step": 24245 + }, + { + "epoch": 0.85, + "learning_rate": 1.1133265064061849e-05, + "loss": 0.4035, + "step": 24246 + }, + { + "epoch": 0.85, + "learning_rate": 1.1128220830245018e-05, + "loss": 0.4076, + "step": 24247 + }, + { + "epoch": 0.85, + "learning_rate": 1.1123177672072992e-05, + "loss": 0.4314, + "step": 24248 + }, + { + "epoch": 0.85, + "learning_rate": 1.1118135589606782e-05, + "loss": 0.4865, + "step": 24249 + }, + { + "epoch": 0.85, + "learning_rate": 1.1113094582907412e-05, + "loss": 0.4581, + "step": 24250 + }, + { + "epoch": 0.85, + "learning_rate": 1.1108054652035894e-05, + "loss": 0.3896, + "step": 24251 + }, + { + "epoch": 0.85, + "learning_rate": 1.110301579705324e-05, + "loss": 0.4558, + "step": 24252 + }, + { + "epoch": 0.85, + "learning_rate": 1.1097978018020405e-05, + "loss": 0.5011, + "step": 24253 + }, + { + "epoch": 0.85, + "learning_rate": 1.1092941314998406e-05, + "loss": 0.3993, + "step": 24254 + }, + { + "epoch": 0.85, + "learning_rate": 1.1087905688048183e-05, + "loss": 0.4647, + "step": 24255 + }, + { + "epoch": 0.85, + "learning_rate": 1.1082871137230689e-05, + "loss": 0.4493, + "step": 24256 + }, + { + "epoch": 0.85, + "learning_rate": 1.107783766260685e-05, + "loss": 0.4216, + "step": 24257 + }, + { + "epoch": 0.85, + "learning_rate": 1.1072805264237573e-05, + "loss": 0.3977, + "step": 24258 + }, + { + "epoch": 0.85, + "learning_rate": 1.1067773942183813e-05, + "loss": 0.4114, + "step": 24259 + }, + { + "epoch": 0.85, + "learning_rate": 1.1062743696506428e-05, + "loss": 0.4163, + "step": 24260 + }, + { + "epoch": 0.85, + "learning_rate": 1.1057714527266328e-05, + "loss": 0.4347, + "step": 24261 + }, + { + "epoch": 0.85, + "learning_rate": 1.1052686434524351e-05, + "loss": 0.3719, + "step": 24262 + }, + { + "epoch": 0.85, + "learning_rate": 1.104765941834136e-05, + "loss": 0.4174, + "step": 24263 + }, + { + "epoch": 0.85, + "learning_rate": 1.104263347877823e-05, + "loss": 0.4778, + "step": 24264 + }, + { + "epoch": 0.85, + "learning_rate": 1.1037608615895767e-05, + "loss": 0.4352, + "step": 24265 + }, + { + "epoch": 0.85, + "learning_rate": 1.1032584829754788e-05, + "loss": 0.375, + "step": 24266 + }, + { + "epoch": 0.85, + "learning_rate": 1.1027562120416101e-05, + "loss": 0.4626, + "step": 24267 + }, + { + "epoch": 0.85, + "learning_rate": 1.1022540487940481e-05, + "loss": 0.3706, + "step": 24268 + }, + { + "epoch": 0.85, + "learning_rate": 1.1017519932388743e-05, + "loss": 0.3377, + "step": 24269 + }, + { + "epoch": 0.85, + "learning_rate": 1.1012500453821629e-05, + "loss": 0.4329, + "step": 24270 + }, + { + "epoch": 0.85, + "learning_rate": 1.1007482052299888e-05, + "loss": 0.4365, + "step": 24271 + }, + { + "epoch": 0.85, + "learning_rate": 1.1002464727884277e-05, + "loss": 0.4521, + "step": 24272 + }, + { + "epoch": 0.85, + "learning_rate": 1.0997448480635485e-05, + "loss": 0.437, + "step": 24273 + }, + { + "epoch": 0.85, + "learning_rate": 1.099243331061428e-05, + "loss": 0.4481, + "step": 24274 + }, + { + "epoch": 0.85, + "learning_rate": 1.0987419217881334e-05, + "loss": 0.4128, + "step": 24275 + }, + { + "epoch": 0.85, + "learning_rate": 1.098240620249733e-05, + "loss": 0.4197, + "step": 24276 + }, + { + "epoch": 0.85, + "learning_rate": 1.0977394264522944e-05, + "loss": 0.384, + "step": 24277 + }, + { + "epoch": 0.85, + "learning_rate": 1.0972383404018826e-05, + "loss": 0.3826, + "step": 24278 + }, + { + "epoch": 0.85, + "learning_rate": 1.0967373621045652e-05, + "loss": 0.4005, + "step": 24279 + }, + { + "epoch": 0.85, + "learning_rate": 1.0962364915664048e-05, + "loss": 0.38, + "step": 24280 + }, + { + "epoch": 0.85, + "learning_rate": 1.0957357287934632e-05, + "loss": 0.3727, + "step": 24281 + }, + { + "epoch": 0.85, + "learning_rate": 1.0952350737918004e-05, + "loss": 0.4195, + "step": 24282 + }, + { + "epoch": 0.85, + "learning_rate": 1.094734526567478e-05, + "loss": 0.4275, + "step": 24283 + }, + { + "epoch": 0.85, + "learning_rate": 1.0942340871265499e-05, + "loss": 0.4635, + "step": 24284 + }, + { + "epoch": 0.85, + "learning_rate": 1.0937337554750792e-05, + "loss": 0.3758, + "step": 24285 + }, + { + "epoch": 0.85, + "learning_rate": 1.0932335316191178e-05, + "loss": 0.4946, + "step": 24286 + }, + { + "epoch": 0.85, + "learning_rate": 1.0927334155647218e-05, + "loss": 0.3827, + "step": 24287 + }, + { + "epoch": 0.85, + "learning_rate": 1.092233407317943e-05, + "loss": 0.4886, + "step": 24288 + }, + { + "epoch": 0.85, + "learning_rate": 1.091733506884831e-05, + "loss": 0.4905, + "step": 24289 + }, + { + "epoch": 0.85, + "learning_rate": 1.0912337142714413e-05, + "loss": 0.4185, + "step": 24290 + }, + { + "epoch": 0.85, + "learning_rate": 1.0907340294838209e-05, + "loss": 0.3796, + "step": 24291 + }, + { + "epoch": 0.85, + "learning_rate": 1.0902344525280173e-05, + "loss": 0.4645, + "step": 24292 + }, + { + "epoch": 0.85, + "learning_rate": 1.0897349834100767e-05, + "loss": 0.4182, + "step": 24293 + }, + { + "epoch": 0.85, + "learning_rate": 1.0892356221360433e-05, + "loss": 0.3728, + "step": 24294 + }, + { + "epoch": 0.85, + "learning_rate": 1.0887363687119634e-05, + "loss": 0.3879, + "step": 24295 + }, + { + "epoch": 0.85, + "learning_rate": 1.0882372231438798e-05, + "loss": 0.4115, + "step": 24296 + }, + { + "epoch": 0.85, + "learning_rate": 1.0877381854378322e-05, + "loss": 0.3771, + "step": 24297 + }, + { + "epoch": 0.85, + "learning_rate": 1.0872392555998613e-05, + "loss": 0.4435, + "step": 24298 + }, + { + "epoch": 0.85, + "learning_rate": 1.0867404336360032e-05, + "loss": 0.4639, + "step": 24299 + }, + { + "epoch": 0.85, + "learning_rate": 1.0862417195523e-05, + "loss": 0.5001, + "step": 24300 + }, + { + "epoch": 0.85, + "learning_rate": 1.0857431133547858e-05, + "loss": 0.4128, + "step": 24301 + }, + { + "epoch": 0.85, + "learning_rate": 1.0852446150494943e-05, + "loss": 0.4016, + "step": 24302 + }, + { + "epoch": 0.85, + "learning_rate": 1.084746224642461e-05, + "loss": 0.4217, + "step": 24303 + }, + { + "epoch": 0.85, + "learning_rate": 1.0842479421397146e-05, + "loss": 0.4224, + "step": 24304 + }, + { + "epoch": 0.85, + "learning_rate": 1.0837497675472896e-05, + "loss": 0.393, + "step": 24305 + }, + { + "epoch": 0.85, + "learning_rate": 1.083251700871215e-05, + "loss": 0.381, + "step": 24306 + }, + { + "epoch": 0.85, + "learning_rate": 1.0827537421175182e-05, + "loss": 0.3559, + "step": 24307 + }, + { + "epoch": 0.85, + "learning_rate": 1.0822558912922265e-05, + "loss": 0.3986, + "step": 24308 + }, + { + "epoch": 0.85, + "learning_rate": 1.081758148401364e-05, + "loss": 0.4458, + "step": 24309 + }, + { + "epoch": 0.85, + "learning_rate": 1.0812605134509568e-05, + "loss": 0.4964, + "step": 24310 + }, + { + "epoch": 0.85, + "learning_rate": 1.0807629864470282e-05, + "loss": 0.4689, + "step": 24311 + }, + { + "epoch": 0.85, + "learning_rate": 1.0802655673955997e-05, + "loss": 0.4208, + "step": 24312 + }, + { + "epoch": 0.85, + "learning_rate": 1.0797682563026912e-05, + "loss": 0.5098, + "step": 24313 + }, + { + "epoch": 0.85, + "learning_rate": 1.07927105317432e-05, + "loss": 0.4594, + "step": 24314 + }, + { + "epoch": 0.85, + "learning_rate": 1.078773958016508e-05, + "loss": 0.3939, + "step": 24315 + }, + { + "epoch": 0.85, + "learning_rate": 1.0782769708352691e-05, + "loss": 0.4111, + "step": 24316 + }, + { + "epoch": 0.85, + "learning_rate": 1.0777800916366187e-05, + "loss": 0.4212, + "step": 24317 + }, + { + "epoch": 0.85, + "learning_rate": 1.077283320426572e-05, + "loss": 0.4341, + "step": 24318 + }, + { + "epoch": 0.85, + "learning_rate": 1.0767866572111395e-05, + "loss": 0.5138, + "step": 24319 + }, + { + "epoch": 0.85, + "learning_rate": 1.0762901019963322e-05, + "loss": 0.4601, + "step": 24320 + }, + { + "epoch": 0.85, + "learning_rate": 1.0757936547881631e-05, + "loss": 0.4831, + "step": 24321 + }, + { + "epoch": 0.85, + "learning_rate": 1.0752973155926394e-05, + "loss": 0.4502, + "step": 24322 + }, + { + "epoch": 0.85, + "learning_rate": 1.0748010844157686e-05, + "loss": 0.4418, + "step": 24323 + }, + { + "epoch": 0.85, + "learning_rate": 1.0743049612635559e-05, + "loss": 0.4091, + "step": 24324 + }, + { + "epoch": 0.85, + "learning_rate": 1.0738089461420042e-05, + "loss": 0.4715, + "step": 24325 + }, + { + "epoch": 0.85, + "learning_rate": 1.0733130390571211e-05, + "loss": 0.4128, + "step": 24326 + }, + { + "epoch": 0.85, + "learning_rate": 1.0728172400149073e-05, + "loss": 0.4259, + "step": 24327 + }, + { + "epoch": 0.85, + "learning_rate": 1.0723215490213634e-05, + "loss": 0.4436, + "step": 24328 + }, + { + "epoch": 0.85, + "learning_rate": 1.0718259660824892e-05, + "loss": 0.4448, + "step": 24329 + }, + { + "epoch": 0.85, + "learning_rate": 1.07133049120428e-05, + "loss": 0.4095, + "step": 24330 + }, + { + "epoch": 0.85, + "learning_rate": 1.0708351243927362e-05, + "loss": 0.389, + "step": 24331 + }, + { + "epoch": 0.85, + "learning_rate": 1.0703398656538532e-05, + "loss": 0.3915, + "step": 24332 + }, + { + "epoch": 0.85, + "learning_rate": 1.0698447149936242e-05, + "loss": 0.4412, + "step": 24333 + }, + { + "epoch": 0.85, + "learning_rate": 1.069349672418043e-05, + "loss": 0.3688, + "step": 24334 + }, + { + "epoch": 0.85, + "learning_rate": 1.0688547379330993e-05, + "loss": 0.3431, + "step": 24335 + }, + { + "epoch": 0.85, + "learning_rate": 1.0683599115447863e-05, + "loss": 0.4175, + "step": 24336 + }, + { + "epoch": 0.85, + "learning_rate": 1.0678651932590911e-05, + "loss": 0.4378, + "step": 24337 + }, + { + "epoch": 0.85, + "learning_rate": 1.0673705830820013e-05, + "loss": 0.4784, + "step": 24338 + }, + { + "epoch": 0.85, + "learning_rate": 1.0668760810195023e-05, + "loss": 0.4364, + "step": 24339 + }, + { + "epoch": 0.85, + "learning_rate": 1.0663816870775823e-05, + "loss": 0.4162, + "step": 24340 + }, + { + "epoch": 0.85, + "learning_rate": 1.0658874012622244e-05, + "loss": 0.4158, + "step": 24341 + }, + { + "epoch": 0.85, + "learning_rate": 1.0653932235794107e-05, + "loss": 0.4315, + "step": 24342 + }, + { + "epoch": 0.85, + "learning_rate": 1.0648991540351206e-05, + "loss": 0.3897, + "step": 24343 + }, + { + "epoch": 0.85, + "learning_rate": 1.0644051926353349e-05, + "loss": 0.3734, + "step": 24344 + }, + { + "epoch": 0.85, + "learning_rate": 1.0639113393860334e-05, + "loss": 0.4401, + "step": 24345 + }, + { + "epoch": 0.85, + "learning_rate": 1.0634175942931934e-05, + "loss": 0.4375, + "step": 24346 + }, + { + "epoch": 0.85, + "learning_rate": 1.0629239573627903e-05, + "loss": 0.4018, + "step": 24347 + }, + { + "epoch": 0.85, + "learning_rate": 1.0624304286007991e-05, + "loss": 0.3159, + "step": 24348 + }, + { + "epoch": 0.85, + "learning_rate": 1.0619370080131897e-05, + "loss": 0.3522, + "step": 24349 + }, + { + "epoch": 0.85, + "learning_rate": 1.0614436956059392e-05, + "loss": 0.4826, + "step": 24350 + }, + { + "epoch": 0.85, + "learning_rate": 1.0609504913850165e-05, + "loss": 0.3753, + "step": 24351 + }, + { + "epoch": 0.85, + "learning_rate": 1.0604573953563913e-05, + "loss": 0.3774, + "step": 24352 + }, + { + "epoch": 0.85, + "learning_rate": 1.0599644075260307e-05, + "loss": 0.4522, + "step": 24353 + }, + { + "epoch": 0.85, + "learning_rate": 1.0594715278999012e-05, + "loss": 0.3701, + "step": 24354 + }, + { + "epoch": 0.85, + "learning_rate": 1.0589787564839682e-05, + "loss": 0.5032, + "step": 24355 + }, + { + "epoch": 0.85, + "learning_rate": 1.0584860932841977e-05, + "loss": 0.4407, + "step": 24356 + }, + { + "epoch": 0.85, + "learning_rate": 1.057993538306552e-05, + "loss": 0.3739, + "step": 24357 + }, + { + "epoch": 0.85, + "learning_rate": 1.0575010915569915e-05, + "loss": 0.407, + "step": 24358 + }, + { + "epoch": 0.85, + "learning_rate": 1.0570087530414785e-05, + "loss": 0.4326, + "step": 24359 + }, + { + "epoch": 0.85, + "learning_rate": 1.0565165227659679e-05, + "loss": 0.4037, + "step": 24360 + }, + { + "epoch": 0.85, + "learning_rate": 1.0560244007364218e-05, + "loss": 0.3941, + "step": 24361 + }, + { + "epoch": 0.85, + "learning_rate": 1.0555323869587952e-05, + "loss": 0.4527, + "step": 24362 + }, + { + "epoch": 0.85, + "learning_rate": 1.0550404814390424e-05, + "loss": 0.4101, + "step": 24363 + }, + { + "epoch": 0.85, + "learning_rate": 1.0545486841831177e-05, + "loss": 0.534, + "step": 24364 + }, + { + "epoch": 0.85, + "learning_rate": 1.0540569951969703e-05, + "loss": 0.4144, + "step": 24365 + }, + { + "epoch": 0.85, + "learning_rate": 1.053565414486557e-05, + "loss": 0.4364, + "step": 24366 + }, + { + "epoch": 0.85, + "learning_rate": 1.0530739420578239e-05, + "loss": 0.3849, + "step": 24367 + }, + { + "epoch": 0.85, + "learning_rate": 1.0525825779167209e-05, + "loss": 0.5377, + "step": 24368 + }, + { + "epoch": 0.85, + "learning_rate": 1.052091322069194e-05, + "loss": 0.3803, + "step": 24369 + }, + { + "epoch": 0.85, + "learning_rate": 1.0516001745211879e-05, + "loss": 0.3801, + "step": 24370 + }, + { + "epoch": 0.85, + "learning_rate": 1.0511091352786506e-05, + "loss": 0.4431, + "step": 24371 + }, + { + "epoch": 0.85, + "learning_rate": 1.0506182043475232e-05, + "loss": 0.378, + "step": 24372 + }, + { + "epoch": 0.85, + "learning_rate": 1.0501273817337476e-05, + "loss": 0.4051, + "step": 24373 + }, + { + "epoch": 0.85, + "learning_rate": 1.0496366674432656e-05, + "loss": 0.4365, + "step": 24374 + }, + { + "epoch": 0.85, + "learning_rate": 1.0491460614820125e-05, + "loss": 0.4654, + "step": 24375 + }, + { + "epoch": 0.85, + "learning_rate": 1.0486555638559325e-05, + "loss": 0.4031, + "step": 24376 + }, + { + "epoch": 0.85, + "learning_rate": 1.0481651745709576e-05, + "loss": 0.4562, + "step": 24377 + }, + { + "epoch": 0.85, + "learning_rate": 1.0476748936330261e-05, + "loss": 0.5177, + "step": 24378 + }, + { + "epoch": 0.85, + "learning_rate": 1.047184721048069e-05, + "loss": 0.4066, + "step": 24379 + }, + { + "epoch": 0.85, + "learning_rate": 1.0466946568220193e-05, + "loss": 0.4487, + "step": 24380 + }, + { + "epoch": 0.85, + "learning_rate": 1.0462047009608111e-05, + "loss": 0.4086, + "step": 24381 + }, + { + "epoch": 0.85, + "learning_rate": 1.0457148534703742e-05, + "loss": 0.3467, + "step": 24382 + }, + { + "epoch": 0.85, + "learning_rate": 1.045225114356635e-05, + "loss": 0.4056, + "step": 24383 + }, + { + "epoch": 0.85, + "learning_rate": 1.0447354836255229e-05, + "loss": 0.3904, + "step": 24384 + }, + { + "epoch": 0.85, + "learning_rate": 1.0442459612829637e-05, + "loss": 0.4436, + "step": 24385 + }, + { + "epoch": 0.85, + "learning_rate": 1.0437565473348798e-05, + "loss": 0.3658, + "step": 24386 + }, + { + "epoch": 0.85, + "learning_rate": 1.0432672417871981e-05, + "loss": 0.4428, + "step": 24387 + }, + { + "epoch": 0.85, + "learning_rate": 1.0427780446458402e-05, + "loss": 0.3801, + "step": 24388 + }, + { + "epoch": 0.85, + "learning_rate": 1.042288955916726e-05, + "loss": 0.512, + "step": 24389 + }, + { + "epoch": 0.85, + "learning_rate": 1.0417999756057761e-05, + "loss": 0.5091, + "step": 24390 + }, + { + "epoch": 0.85, + "learning_rate": 1.041311103718906e-05, + "loss": 0.4391, + "step": 24391 + }, + { + "epoch": 0.85, + "learning_rate": 1.0408223402620365e-05, + "loss": 0.515, + "step": 24392 + }, + { + "epoch": 0.85, + "learning_rate": 1.0403336852410816e-05, + "loss": 0.3916, + "step": 24393 + }, + { + "epoch": 0.85, + "learning_rate": 1.0398451386619557e-05, + "loss": 0.4496, + "step": 24394 + }, + { + "epoch": 0.85, + "learning_rate": 1.0393567005305726e-05, + "loss": 0.4195, + "step": 24395 + }, + { + "epoch": 0.85, + "learning_rate": 1.0388683708528413e-05, + "loss": 0.3839, + "step": 24396 + }, + { + "epoch": 0.85, + "learning_rate": 1.0383801496346757e-05, + "loss": 0.3532, + "step": 24397 + }, + { + "epoch": 0.85, + "learning_rate": 1.0378920368819834e-05, + "loss": 0.4303, + "step": 24398 + }, + { + "epoch": 0.85, + "learning_rate": 1.0374040326006717e-05, + "loss": 0.4278, + "step": 24399 + }, + { + "epoch": 0.85, + "learning_rate": 1.0369161367966485e-05, + "loss": 0.4721, + "step": 24400 + }, + { + "epoch": 0.85, + "eval_loss": 0.4041050672531128, + "eval_runtime": 845.7214, + "eval_samples_per_second": 28.449, + "eval_steps_per_second": 14.225, + "step": 24400 + }, + { + "epoch": 0.85, + "learning_rate": 1.0364283494758153e-05, + "loss": 0.4544, + "step": 24401 + }, + { + "epoch": 0.85, + "learning_rate": 1.035940670644081e-05, + "loss": 0.4083, + "step": 24402 + }, + { + "epoch": 0.85, + "learning_rate": 1.0354531003073464e-05, + "loss": 0.3558, + "step": 24403 + }, + { + "epoch": 0.85, + "learning_rate": 1.0349656384715112e-05, + "loss": 0.3974, + "step": 24404 + }, + { + "epoch": 0.85, + "learning_rate": 1.0344782851424761e-05, + "loss": 0.4026, + "step": 24405 + }, + { + "epoch": 0.85, + "learning_rate": 1.0339910403261388e-05, + "loss": 0.3921, + "step": 24406 + }, + { + "epoch": 0.85, + "learning_rate": 1.0335039040284e-05, + "loss": 0.3831, + "step": 24407 + }, + { + "epoch": 0.85, + "learning_rate": 1.0330168762551518e-05, + "loss": 0.4527, + "step": 24408 + }, + { + "epoch": 0.85, + "learning_rate": 1.0325299570122915e-05, + "loss": 0.4679, + "step": 24409 + }, + { + "epoch": 0.85, + "learning_rate": 1.0320431463057112e-05, + "loss": 0.5135, + "step": 24410 + }, + { + "epoch": 0.85, + "learning_rate": 1.0315564441413006e-05, + "loss": 0.4633, + "step": 24411 + }, + { + "epoch": 0.85, + "learning_rate": 1.031069850524955e-05, + "loss": 0.4309, + "step": 24412 + }, + { + "epoch": 0.85, + "learning_rate": 1.0305833654625618e-05, + "loss": 0.4755, + "step": 24413 + }, + { + "epoch": 0.85, + "learning_rate": 1.0300969889600099e-05, + "loss": 0.4628, + "step": 24414 + }, + { + "epoch": 0.85, + "learning_rate": 1.0296107210231843e-05, + "loss": 0.388, + "step": 24415 + }, + { + "epoch": 0.85, + "learning_rate": 1.0291245616579693e-05, + "loss": 0.4533, + "step": 24416 + }, + { + "epoch": 0.85, + "learning_rate": 1.0286385108702522e-05, + "loss": 0.3296, + "step": 24417 + }, + { + "epoch": 0.85, + "learning_rate": 1.0281525686659166e-05, + "loss": 0.3645, + "step": 24418 + }, + { + "epoch": 0.85, + "learning_rate": 1.0276667350508406e-05, + "loss": 0.3353, + "step": 24419 + }, + { + "epoch": 0.85, + "learning_rate": 1.0271810100309065e-05, + "loss": 0.3564, + "step": 24420 + }, + { + "epoch": 0.85, + "learning_rate": 1.0266953936119927e-05, + "loss": 0.3829, + "step": 24421 + }, + { + "epoch": 0.85, + "learning_rate": 1.0262098857999746e-05, + "loss": 0.4364, + "step": 24422 + }, + { + "epoch": 0.85, + "learning_rate": 1.025724486600732e-05, + "loss": 0.43, + "step": 24423 + }, + { + "epoch": 0.85, + "learning_rate": 1.0252391960201391e-05, + "loss": 0.4753, + "step": 24424 + }, + { + "epoch": 0.85, + "learning_rate": 1.0247540140640687e-05, + "loss": 0.3512, + "step": 24425 + }, + { + "epoch": 0.85, + "learning_rate": 1.0242689407383933e-05, + "loss": 0.4026, + "step": 24426 + }, + { + "epoch": 0.85, + "learning_rate": 1.023783976048982e-05, + "loss": 0.4265, + "step": 24427 + }, + { + "epoch": 0.85, + "learning_rate": 1.0232991200017083e-05, + "loss": 0.4095, + "step": 24428 + }, + { + "epoch": 0.85, + "learning_rate": 1.0228143726024386e-05, + "loss": 0.3576, + "step": 24429 + }, + { + "epoch": 0.85, + "learning_rate": 1.0223297338570391e-05, + "loss": 0.4147, + "step": 24430 + }, + { + "epoch": 0.85, + "learning_rate": 1.0218452037713777e-05, + "loss": 0.4413, + "step": 24431 + }, + { + "epoch": 0.85, + "learning_rate": 1.0213607823513149e-05, + "loss": 0.4808, + "step": 24432 + }, + { + "epoch": 0.85, + "learning_rate": 1.0208764696027196e-05, + "loss": 0.4785, + "step": 24433 + }, + { + "epoch": 0.86, + "learning_rate": 1.0203922655314491e-05, + "loss": 0.4806, + "step": 24434 + }, + { + "epoch": 0.86, + "learning_rate": 1.0199081701433655e-05, + "loss": 0.4567, + "step": 24435 + }, + { + "epoch": 0.86, + "learning_rate": 1.0194241834443285e-05, + "loss": 0.4367, + "step": 24436 + }, + { + "epoch": 0.86, + "learning_rate": 1.0189403054401925e-05, + "loss": 0.5509, + "step": 24437 + }, + { + "epoch": 0.86, + "learning_rate": 1.018456536136818e-05, + "loss": 0.4188, + "step": 24438 + }, + { + "epoch": 0.86, + "learning_rate": 1.0179728755400608e-05, + "loss": 0.5136, + "step": 24439 + }, + { + "epoch": 0.86, + "learning_rate": 1.0174893236557714e-05, + "loss": 0.3932, + "step": 24440 + }, + { + "epoch": 0.86, + "learning_rate": 1.0170058804898042e-05, + "loss": 0.3688, + "step": 24441 + }, + { + "epoch": 0.86, + "learning_rate": 1.0165225460480087e-05, + "loss": 0.3686, + "step": 24442 + }, + { + "epoch": 0.86, + "learning_rate": 1.0160393203362385e-05, + "loss": 0.4608, + "step": 24443 + }, + { + "epoch": 0.86, + "learning_rate": 1.0155562033603394e-05, + "loss": 0.4407, + "step": 24444 + }, + { + "epoch": 0.86, + "learning_rate": 1.0150731951261594e-05, + "loss": 0.4056, + "step": 24445 + }, + { + "epoch": 0.86, + "learning_rate": 1.0145902956395447e-05, + "loss": 0.4431, + "step": 24446 + }, + { + "epoch": 0.86, + "learning_rate": 1.0141075049063386e-05, + "loss": 0.3852, + "step": 24447 + }, + { + "epoch": 0.86, + "learning_rate": 1.0136248229323875e-05, + "loss": 0.3726, + "step": 24448 + }, + { + "epoch": 0.86, + "learning_rate": 1.013142249723531e-05, + "loss": 0.3762, + "step": 24449 + }, + { + "epoch": 0.86, + "learning_rate": 1.0126597852856111e-05, + "loss": 0.3613, + "step": 24450 + }, + { + "epoch": 0.86, + "learning_rate": 1.0121774296244656e-05, + "loss": 0.3837, + "step": 24451 + }, + { + "epoch": 0.86, + "learning_rate": 1.0116951827459353e-05, + "loss": 0.3947, + "step": 24452 + }, + { + "epoch": 0.86, + "learning_rate": 1.011213044655852e-05, + "loss": 0.3971, + "step": 24453 + }, + { + "epoch": 0.86, + "learning_rate": 1.0107310153600568e-05, + "loss": 0.3922, + "step": 24454 + }, + { + "epoch": 0.86, + "learning_rate": 1.0102490948643827e-05, + "loss": 0.3643, + "step": 24455 + }, + { + "epoch": 0.86, + "learning_rate": 1.0097672831746608e-05, + "loss": 0.4363, + "step": 24456 + }, + { + "epoch": 0.86, + "learning_rate": 1.0092855802967227e-05, + "loss": 0.3926, + "step": 24457 + }, + { + "epoch": 0.86, + "learning_rate": 1.0088039862363973e-05, + "loss": 0.4135, + "step": 24458 + }, + { + "epoch": 0.86, + "learning_rate": 1.0083225009995179e-05, + "loss": 0.4864, + "step": 24459 + }, + { + "epoch": 0.86, + "learning_rate": 1.0078411245919084e-05, + "loss": 0.3609, + "step": 24460 + }, + { + "epoch": 0.86, + "learning_rate": 1.0073598570193977e-05, + "loss": 0.5854, + "step": 24461 + }, + { + "epoch": 0.86, + "learning_rate": 1.0068786982878087e-05, + "loss": 0.5016, + "step": 24462 + }, + { + "epoch": 0.86, + "learning_rate": 1.0063976484029636e-05, + "loss": 0.3986, + "step": 24463 + }, + { + "epoch": 0.86, + "learning_rate": 1.0059167073706877e-05, + "loss": 0.3861, + "step": 24464 + }, + { + "epoch": 0.86, + "learning_rate": 1.0054358751968019e-05, + "loss": 0.3858, + "step": 24465 + }, + { + "epoch": 0.86, + "learning_rate": 1.0049551518871247e-05, + "loss": 0.4212, + "step": 24466 + }, + { + "epoch": 0.86, + "learning_rate": 1.004474537447475e-05, + "loss": 0.4287, + "step": 24467 + }, + { + "epoch": 0.86, + "learning_rate": 1.0039940318836694e-05, + "loss": 0.3739, + "step": 24468 + }, + { + "epoch": 0.86, + "learning_rate": 1.003513635201524e-05, + "loss": 0.4937, + "step": 24469 + }, + { + "epoch": 0.86, + "learning_rate": 1.0030333474068521e-05, + "loss": 0.4504, + "step": 24470 + }, + { + "epoch": 0.86, + "learning_rate": 1.002553168505469e-05, + "loss": 0.5122, + "step": 24471 + }, + { + "epoch": 0.86, + "learning_rate": 1.0020730985031824e-05, + "loss": 0.4261, + "step": 24472 + }, + { + "epoch": 0.86, + "learning_rate": 1.0015931374058062e-05, + "loss": 0.4801, + "step": 24473 + }, + { + "epoch": 0.86, + "learning_rate": 1.0011132852191507e-05, + "loss": 0.5024, + "step": 24474 + }, + { + "epoch": 0.86, + "learning_rate": 1.000633541949021e-05, + "loss": 0.5576, + "step": 24475 + }, + { + "epoch": 0.86, + "learning_rate": 1.0001539076012244e-05, + "loss": 0.4282, + "step": 24476 + }, + { + "epoch": 0.86, + "learning_rate": 9.996743821815634e-06, + "loss": 0.5116, + "step": 24477 + }, + { + "epoch": 0.86, + "learning_rate": 9.991949656958477e-06, + "loss": 0.5082, + "step": 24478 + }, + { + "epoch": 0.86, + "learning_rate": 9.987156581498758e-06, + "loss": 0.4136, + "step": 24479 + }, + { + "epoch": 0.86, + "learning_rate": 9.982364595494499e-06, + "loss": 0.3535, + "step": 24480 + }, + { + "epoch": 0.86, + "learning_rate": 9.977573699003706e-06, + "loss": 0.3564, + "step": 24481 + }, + { + "epoch": 0.86, + "learning_rate": 9.972783892084325e-06, + "loss": 0.3765, + "step": 24482 + }, + { + "epoch": 0.86, + "learning_rate": 9.967995174794386e-06, + "loss": 0.4378, + "step": 24483 + }, + { + "epoch": 0.86, + "learning_rate": 9.963207547191823e-06, + "loss": 0.3214, + "step": 24484 + }, + { + "epoch": 0.86, + "learning_rate": 9.958421009334573e-06, + "loss": 0.455, + "step": 24485 + }, + { + "epoch": 0.86, + "learning_rate": 9.953635561280594e-06, + "loss": 0.4307, + "step": 24486 + }, + { + "epoch": 0.86, + "learning_rate": 9.948851203087772e-06, + "loss": 0.3862, + "step": 24487 + }, + { + "epoch": 0.86, + "learning_rate": 9.944067934814028e-06, + "loss": 0.3983, + "step": 24488 + }, + { + "epoch": 0.86, + "learning_rate": 9.939285756517269e-06, + "loss": 0.4354, + "step": 24489 + }, + { + "epoch": 0.86, + "learning_rate": 9.934504668255362e-06, + "loss": 0.4007, + "step": 24490 + }, + { + "epoch": 0.86, + "learning_rate": 9.929724670086182e-06, + "loss": 0.4413, + "step": 24491 + }, + { + "epoch": 0.86, + "learning_rate": 9.924945762067584e-06, + "loss": 0.421, + "step": 24492 + }, + { + "epoch": 0.86, + "learning_rate": 9.920167944257374e-06, + "loss": 0.4202, + "step": 24493 + }, + { + "epoch": 0.86, + "learning_rate": 9.915391216713432e-06, + "loss": 0.3971, + "step": 24494 + }, + { + "epoch": 0.86, + "learning_rate": 9.910615579493555e-06, + "loss": 0.3559, + "step": 24495 + }, + { + "epoch": 0.86, + "learning_rate": 9.905841032655527e-06, + "loss": 0.469, + "step": 24496 + }, + { + "epoch": 0.86, + "learning_rate": 9.901067576257162e-06, + "loss": 0.4116, + "step": 24497 + }, + { + "epoch": 0.86, + "learning_rate": 9.896295210356187e-06, + "loss": 0.3701, + "step": 24498 + }, + { + "epoch": 0.86, + "learning_rate": 9.891523935010415e-06, + "loss": 0.3597, + "step": 24499 + }, + { + "epoch": 0.86, + "learning_rate": 9.886753750277578e-06, + "loss": 0.3864, + "step": 24500 + }, + { + "epoch": 0.86, + "learning_rate": 9.881984656215416e-06, + "loss": 0.4747, + "step": 24501 + }, + { + "epoch": 0.86, + "learning_rate": 9.877216652881638e-06, + "loss": 0.3779, + "step": 24502 + }, + { + "epoch": 0.86, + "learning_rate": 9.872449740333933e-06, + "loss": 0.4394, + "step": 24503 + }, + { + "epoch": 0.86, + "learning_rate": 9.867683918630044e-06, + "loss": 0.5133, + "step": 24504 + }, + { + "epoch": 0.86, + "learning_rate": 9.862919187827635e-06, + "loss": 0.4074, + "step": 24505 + }, + { + "epoch": 0.86, + "learning_rate": 9.85815554798437e-06, + "loss": 0.4591, + "step": 24506 + }, + { + "epoch": 0.86, + "learning_rate": 9.853392999157907e-06, + "loss": 0.5345, + "step": 24507 + }, + { + "epoch": 0.86, + "learning_rate": 9.848631541405873e-06, + "loss": 0.5652, + "step": 24508 + }, + { + "epoch": 0.86, + "learning_rate": 9.843871174785924e-06, + "loss": 0.3629, + "step": 24509 + }, + { + "epoch": 0.86, + "learning_rate": 9.839111899355669e-06, + "loss": 0.3572, + "step": 24510 + }, + { + "epoch": 0.86, + "learning_rate": 9.834353715172706e-06, + "loss": 0.512, + "step": 24511 + }, + { + "epoch": 0.86, + "learning_rate": 9.829596622294624e-06, + "loss": 0.4444, + "step": 24512 + }, + { + "epoch": 0.86, + "learning_rate": 9.824840620778974e-06, + "loss": 0.4199, + "step": 24513 + }, + { + "epoch": 0.86, + "learning_rate": 9.82008571068338e-06, + "loss": 0.441, + "step": 24514 + }, + { + "epoch": 0.86, + "learning_rate": 9.81533189206535e-06, + "loss": 0.3716, + "step": 24515 + }, + { + "epoch": 0.86, + "learning_rate": 9.810579164982436e-06, + "loss": 0.4687, + "step": 24516 + }, + { + "epoch": 0.86, + "learning_rate": 9.805827529492161e-06, + "loss": 0.4222, + "step": 24517 + }, + { + "epoch": 0.86, + "learning_rate": 9.801076985652003e-06, + "loss": 0.4268, + "step": 24518 + }, + { + "epoch": 0.86, + "learning_rate": 9.796327533519501e-06, + "loss": 0.5625, + "step": 24519 + }, + { + "epoch": 0.86, + "learning_rate": 9.791579173152132e-06, + "loss": 0.4793, + "step": 24520 + }, + { + "epoch": 0.86, + "learning_rate": 9.786831904607363e-06, + "loss": 0.4742, + "step": 24521 + }, + { + "epoch": 0.86, + "learning_rate": 9.782085727942647e-06, + "loss": 0.423, + "step": 24522 + }, + { + "epoch": 0.86, + "learning_rate": 9.777340643215427e-06, + "loss": 0.4033, + "step": 24523 + }, + { + "epoch": 0.86, + "learning_rate": 9.772596650483124e-06, + "loss": 0.3444, + "step": 24524 + }, + { + "epoch": 0.86, + "learning_rate": 9.76785374980319e-06, + "loss": 0.445, + "step": 24525 + }, + { + "epoch": 0.86, + "learning_rate": 9.763111941233006e-06, + "loss": 0.4136, + "step": 24526 + }, + { + "epoch": 0.86, + "learning_rate": 9.758371224829965e-06, + "loss": 0.4591, + "step": 24527 + }, + { + "epoch": 0.86, + "learning_rate": 9.753631600651458e-06, + "loss": 0.3883, + "step": 24528 + }, + { + "epoch": 0.86, + "learning_rate": 9.748893068754816e-06, + "loss": 0.5092, + "step": 24529 + }, + { + "epoch": 0.86, + "learning_rate": 9.744155629197426e-06, + "loss": 0.3909, + "step": 24530 + }, + { + "epoch": 0.86, + "learning_rate": 9.739419282036632e-06, + "loss": 0.4447, + "step": 24531 + }, + { + "epoch": 0.86, + "learning_rate": 9.734684027329733e-06, + "loss": 0.4326, + "step": 24532 + }, + { + "epoch": 0.86, + "learning_rate": 9.729949865134059e-06, + "loss": 0.4138, + "step": 24533 + }, + { + "epoch": 0.86, + "learning_rate": 9.725216795506874e-06, + "loss": 0.4643, + "step": 24534 + }, + { + "epoch": 0.86, + "learning_rate": 9.720484818505515e-06, + "loss": 0.3765, + "step": 24535 + }, + { + "epoch": 0.86, + "learning_rate": 9.715753934187233e-06, + "loss": 0.386, + "step": 24536 + }, + { + "epoch": 0.86, + "learning_rate": 9.711024142609292e-06, + "loss": 0.455, + "step": 24537 + }, + { + "epoch": 0.86, + "learning_rate": 9.706295443828927e-06, + "loss": 0.4495, + "step": 24538 + }, + { + "epoch": 0.86, + "learning_rate": 9.701567837903359e-06, + "loss": 0.4158, + "step": 24539 + }, + { + "epoch": 0.86, + "learning_rate": 9.696841324889838e-06, + "loss": 0.3909, + "step": 24540 + }, + { + "epoch": 0.86, + "learning_rate": 9.692115904845568e-06, + "loss": 0.3746, + "step": 24541 + }, + { + "epoch": 0.86, + "learning_rate": 9.687391577827732e-06, + "loss": 0.4649, + "step": 24542 + }, + { + "epoch": 0.86, + "learning_rate": 9.682668343893497e-06, + "loss": 0.3716, + "step": 24543 + }, + { + "epoch": 0.86, + "learning_rate": 9.67794620310004e-06, + "loss": 0.4393, + "step": 24544 + }, + { + "epoch": 0.86, + "learning_rate": 9.673225155504528e-06, + "loss": 0.4516, + "step": 24545 + }, + { + "epoch": 0.86, + "learning_rate": 9.66850520116409e-06, + "loss": 0.4288, + "step": 24546 + }, + { + "epoch": 0.86, + "learning_rate": 9.66378634013586e-06, + "loss": 0.3669, + "step": 24547 + }, + { + "epoch": 0.86, + "learning_rate": 9.659068572476948e-06, + "loss": 0.3466, + "step": 24548 + }, + { + "epoch": 0.86, + "learning_rate": 9.65435189824443e-06, + "loss": 0.3913, + "step": 24549 + }, + { + "epoch": 0.86, + "learning_rate": 9.649636317495437e-06, + "loss": 0.3603, + "step": 24550 + }, + { + "epoch": 0.86, + "learning_rate": 9.644921830287023e-06, + "loss": 0.4115, + "step": 24551 + }, + { + "epoch": 0.86, + "learning_rate": 9.640208436676257e-06, + "loss": 0.4558, + "step": 24552 + }, + { + "epoch": 0.86, + "learning_rate": 9.635496136720168e-06, + "loss": 0.4949, + "step": 24553 + }, + { + "epoch": 0.86, + "learning_rate": 9.6307849304758e-06, + "loss": 0.3497, + "step": 24554 + }, + { + "epoch": 0.86, + "learning_rate": 9.626074818000164e-06, + "loss": 0.4622, + "step": 24555 + }, + { + "epoch": 0.86, + "learning_rate": 9.62136579935029e-06, + "loss": 0.4295, + "step": 24556 + }, + { + "epoch": 0.86, + "learning_rate": 9.616657874583168e-06, + "loss": 0.489, + "step": 24557 + }, + { + "epoch": 0.86, + "learning_rate": 9.611951043755785e-06, + "loss": 0.4114, + "step": 24558 + }, + { + "epoch": 0.86, + "learning_rate": 9.607245306925084e-06, + "loss": 0.4838, + "step": 24559 + }, + { + "epoch": 0.86, + "learning_rate": 9.602540664148018e-06, + "loss": 0.4398, + "step": 24560 + }, + { + "epoch": 0.86, + "learning_rate": 9.597837115481568e-06, + "loss": 0.3499, + "step": 24561 + }, + { + "epoch": 0.86, + "learning_rate": 9.59313466098264e-06, + "loss": 0.4105, + "step": 24562 + }, + { + "epoch": 0.86, + "learning_rate": 9.588433300708145e-06, + "loss": 0.446, + "step": 24563 + }, + { + "epoch": 0.86, + "learning_rate": 9.583733034714981e-06, + "loss": 0.3893, + "step": 24564 + }, + { + "epoch": 0.86, + "learning_rate": 9.579033863060038e-06, + "loss": 0.4724, + "step": 24565 + }, + { + "epoch": 0.86, + "learning_rate": 9.574335785800226e-06, + "loss": 0.4323, + "step": 24566 + }, + { + "epoch": 0.86, + "learning_rate": 9.569638802992365e-06, + "loss": 0.4003, + "step": 24567 + }, + { + "epoch": 0.86, + "learning_rate": 9.564942914693331e-06, + "loss": 0.4503, + "step": 24568 + }, + { + "epoch": 0.86, + "learning_rate": 9.560248120959935e-06, + "loss": 0.4016, + "step": 24569 + }, + { + "epoch": 0.86, + "learning_rate": 9.555554421849011e-06, + "loss": 0.4065, + "step": 24570 + }, + { + "epoch": 0.86, + "learning_rate": 9.550861817417377e-06, + "loss": 0.3697, + "step": 24571 + }, + { + "epoch": 0.86, + "learning_rate": 9.546170307721825e-06, + "loss": 0.4605, + "step": 24572 + }, + { + "epoch": 0.86, + "learning_rate": 9.541479892819138e-06, + "loss": 0.3669, + "step": 24573 + }, + { + "epoch": 0.86, + "learning_rate": 9.536790572766085e-06, + "loss": 0.3495, + "step": 24574 + }, + { + "epoch": 0.86, + "learning_rate": 9.532102347619398e-06, + "loss": 0.393, + "step": 24575 + }, + { + "epoch": 0.86, + "learning_rate": 9.527415217435864e-06, + "loss": 0.3623, + "step": 24576 + }, + { + "epoch": 0.86, + "learning_rate": 9.522729182272184e-06, + "loss": 0.417, + "step": 24577 + }, + { + "epoch": 0.86, + "learning_rate": 9.518044242185086e-06, + "loss": 0.4778, + "step": 24578 + }, + { + "epoch": 0.86, + "learning_rate": 9.513360397231274e-06, + "loss": 0.4222, + "step": 24579 + }, + { + "epoch": 0.86, + "learning_rate": 9.508677647467412e-06, + "loss": 0.4922, + "step": 24580 + }, + { + "epoch": 0.86, + "learning_rate": 9.503995992950221e-06, + "loss": 0.4592, + "step": 24581 + }, + { + "epoch": 0.86, + "learning_rate": 9.499315433736345e-06, + "loss": 0.4136, + "step": 24582 + }, + { + "epoch": 0.86, + "learning_rate": 9.494635969882426e-06, + "loss": 0.4337, + "step": 24583 + }, + { + "epoch": 0.86, + "learning_rate": 9.48995760144511e-06, + "loss": 0.4512, + "step": 24584 + }, + { + "epoch": 0.86, + "learning_rate": 9.485280328481016e-06, + "loss": 0.4744, + "step": 24585 + }, + { + "epoch": 0.86, + "learning_rate": 9.480604151046735e-06, + "loss": 0.4536, + "step": 24586 + }, + { + "epoch": 0.86, + "learning_rate": 9.475929069198908e-06, + "loss": 0.4494, + "step": 24587 + }, + { + "epoch": 0.86, + "learning_rate": 9.471255082994091e-06, + "loss": 0.2934, + "step": 24588 + }, + { + "epoch": 0.86, + "learning_rate": 9.466582192488872e-06, + "loss": 0.3601, + "step": 24589 + }, + { + "epoch": 0.86, + "learning_rate": 9.461910397739781e-06, + "loss": 0.4161, + "step": 24590 + }, + { + "epoch": 0.86, + "learning_rate": 9.457239698803377e-06, + "loss": 0.4153, + "step": 24591 + }, + { + "epoch": 0.86, + "learning_rate": 9.452570095736202e-06, + "loss": 0.3908, + "step": 24592 + }, + { + "epoch": 0.86, + "learning_rate": 9.447901588594765e-06, + "loss": 0.3817, + "step": 24593 + }, + { + "epoch": 0.86, + "learning_rate": 9.443234177435567e-06, + "loss": 0.4261, + "step": 24594 + }, + { + "epoch": 0.86, + "learning_rate": 9.438567862315107e-06, + "loss": 0.3551, + "step": 24595 + }, + { + "epoch": 0.86, + "learning_rate": 9.433902643289838e-06, + "loss": 0.4182, + "step": 24596 + }, + { + "epoch": 0.86, + "learning_rate": 9.429238520416262e-06, + "loss": 0.4471, + "step": 24597 + }, + { + "epoch": 0.86, + "learning_rate": 9.424575493750809e-06, + "loss": 0.4546, + "step": 24598 + }, + { + "epoch": 0.86, + "learning_rate": 9.419913563349924e-06, + "loss": 0.4501, + "step": 24599 + }, + { + "epoch": 0.86, + "learning_rate": 9.41525272927003e-06, + "loss": 0.4015, + "step": 24600 + }, + { + "epoch": 0.86, + "eval_loss": 0.40309014916419983, + "eval_runtime": 847.4282, + "eval_samples_per_second": 28.392, + "eval_steps_per_second": 14.196, + "step": 24600 + }, + { + "epoch": 0.86, + "learning_rate": 9.410592991567525e-06, + "loss": 0.4846, + "step": 24601 + }, + { + "epoch": 0.86, + "learning_rate": 9.405934350298828e-06, + "loss": 0.3699, + "step": 24602 + }, + { + "epoch": 0.86, + "learning_rate": 9.401276805520342e-06, + "loss": 0.3733, + "step": 24603 + }, + { + "epoch": 0.86, + "learning_rate": 9.396620357288388e-06, + "loss": 0.391, + "step": 24604 + }, + { + "epoch": 0.86, + "learning_rate": 9.391965005659342e-06, + "loss": 0.4502, + "step": 24605 + }, + { + "epoch": 0.86, + "learning_rate": 9.38731075068956e-06, + "loss": 0.4119, + "step": 24606 + }, + { + "epoch": 0.86, + "learning_rate": 9.382657592435384e-06, + "loss": 0.4034, + "step": 24607 + }, + { + "epoch": 0.86, + "learning_rate": 9.378005530953116e-06, + "loss": 0.506, + "step": 24608 + }, + { + "epoch": 0.86, + "learning_rate": 9.373354566299064e-06, + "loss": 0.3382, + "step": 24609 + }, + { + "epoch": 0.86, + "learning_rate": 9.368704698529496e-06, + "loss": 0.5032, + "step": 24610 + }, + { + "epoch": 0.86, + "learning_rate": 9.364055927700744e-06, + "loss": 0.4292, + "step": 24611 + }, + { + "epoch": 0.86, + "learning_rate": 9.35940825386904e-06, + "loss": 0.3717, + "step": 24612 + }, + { + "epoch": 0.86, + "learning_rate": 9.35476167709065e-06, + "loss": 0.3905, + "step": 24613 + }, + { + "epoch": 0.86, + "learning_rate": 9.350116197421799e-06, + "loss": 0.44, + "step": 24614 + }, + { + "epoch": 0.86, + "learning_rate": 9.345471814918694e-06, + "loss": 0.4823, + "step": 24615 + }, + { + "epoch": 0.86, + "learning_rate": 9.340828529637602e-06, + "loss": 0.4048, + "step": 24616 + }, + { + "epoch": 0.86, + "learning_rate": 9.33618634163469e-06, + "loss": 0.3235, + "step": 24617 + }, + { + "epoch": 0.86, + "learning_rate": 9.331545250966145e-06, + "loss": 0.4432, + "step": 24618 + }, + { + "epoch": 0.86, + "learning_rate": 9.326905257688135e-06, + "loss": 0.4264, + "step": 24619 + }, + { + "epoch": 0.86, + "learning_rate": 9.322266361856813e-06, + "loss": 0.4004, + "step": 24620 + }, + { + "epoch": 0.86, + "learning_rate": 9.317628563528357e-06, + "loss": 0.367, + "step": 24621 + }, + { + "epoch": 0.86, + "learning_rate": 9.31299186275888e-06, + "loss": 0.3443, + "step": 24622 + }, + { + "epoch": 0.86, + "learning_rate": 9.3083562596045e-06, + "loss": 0.4242, + "step": 24623 + }, + { + "epoch": 0.86, + "learning_rate": 9.30372175412133e-06, + "loss": 0.4167, + "step": 24624 + }, + { + "epoch": 0.86, + "learning_rate": 9.29908834636546e-06, + "loss": 0.4238, + "step": 24625 + }, + { + "epoch": 0.86, + "learning_rate": 9.29445603639294e-06, + "loss": 0.4108, + "step": 24626 + }, + { + "epoch": 0.86, + "learning_rate": 9.289824824259897e-06, + "loss": 0.3837, + "step": 24627 + }, + { + "epoch": 0.86, + "learning_rate": 9.285194710022338e-06, + "loss": 0.3778, + "step": 24628 + }, + { + "epoch": 0.86, + "learning_rate": 9.280565693736321e-06, + "loss": 0.4735, + "step": 24629 + }, + { + "epoch": 0.86, + "learning_rate": 9.275937775457865e-06, + "loss": 0.3973, + "step": 24630 + }, + { + "epoch": 0.86, + "learning_rate": 9.271310955242973e-06, + "loss": 0.3743, + "step": 24631 + }, + { + "epoch": 0.86, + "learning_rate": 9.266685233147665e-06, + "loss": 0.3807, + "step": 24632 + }, + { + "epoch": 0.86, + "learning_rate": 9.26206060922793e-06, + "loss": 0.3328, + "step": 24633 + }, + { + "epoch": 0.86, + "learning_rate": 9.257437083539732e-06, + "loss": 0.4418, + "step": 24634 + }, + { + "epoch": 0.86, + "learning_rate": 9.25281465613903e-06, + "loss": 0.4934, + "step": 24635 + }, + { + "epoch": 0.86, + "learning_rate": 9.248193327081755e-06, + "loss": 0.4293, + "step": 24636 + }, + { + "epoch": 0.86, + "learning_rate": 9.243573096423874e-06, + "loss": 0.3047, + "step": 24637 + }, + { + "epoch": 0.86, + "learning_rate": 9.238953964221298e-06, + "loss": 0.424, + "step": 24638 + }, + { + "epoch": 0.86, + "learning_rate": 9.234335930529914e-06, + "loss": 0.3659, + "step": 24639 + }, + { + "epoch": 0.86, + "learning_rate": 9.229718995405633e-06, + "loss": 0.3859, + "step": 24640 + }, + { + "epoch": 0.86, + "learning_rate": 9.225103158904313e-06, + "loss": 0.3801, + "step": 24641 + }, + { + "epoch": 0.86, + "learning_rate": 9.220488421081852e-06, + "loss": 0.4538, + "step": 24642 + }, + { + "epoch": 0.86, + "learning_rate": 9.215874781994093e-06, + "loss": 0.4015, + "step": 24643 + }, + { + "epoch": 0.86, + "learning_rate": 9.211262241696883e-06, + "loss": 0.3799, + "step": 24644 + }, + { + "epoch": 0.86, + "learning_rate": 9.20665080024603e-06, + "loss": 0.349, + "step": 24645 + }, + { + "epoch": 0.86, + "learning_rate": 9.202040457697337e-06, + "loss": 0.3943, + "step": 24646 + }, + { + "epoch": 0.86, + "learning_rate": 9.197431214106645e-06, + "loss": 0.4557, + "step": 24647 + }, + { + "epoch": 0.86, + "learning_rate": 9.192823069529722e-06, + "loss": 0.3506, + "step": 24648 + }, + { + "epoch": 0.86, + "learning_rate": 9.188216024022344e-06, + "loss": 0.427, + "step": 24649 + }, + { + "epoch": 0.86, + "learning_rate": 9.18361007764027e-06, + "loss": 0.4623, + "step": 24650 + }, + { + "epoch": 0.86, + "learning_rate": 9.17900523043922e-06, + "loss": 0.3891, + "step": 24651 + }, + { + "epoch": 0.86, + "learning_rate": 9.174401482474982e-06, + "loss": 0.3529, + "step": 24652 + }, + { + "epoch": 0.86, + "learning_rate": 9.169798833803234e-06, + "loss": 0.5083, + "step": 24653 + }, + { + "epoch": 0.86, + "learning_rate": 9.16519728447971e-06, + "loss": 0.4677, + "step": 24654 + }, + { + "epoch": 0.86, + "learning_rate": 9.160596834560086e-06, + "loss": 0.4533, + "step": 24655 + }, + { + "epoch": 0.86, + "learning_rate": 9.155997484100055e-06, + "loss": 0.4905, + "step": 24656 + }, + { + "epoch": 0.86, + "learning_rate": 9.151399233155255e-06, + "loss": 0.3545, + "step": 24657 + }, + { + "epoch": 0.86, + "learning_rate": 9.146802081781391e-06, + "loss": 0.3698, + "step": 24658 + }, + { + "epoch": 0.86, + "learning_rate": 9.142206030034062e-06, + "loss": 0.4107, + "step": 24659 + }, + { + "epoch": 0.86, + "learning_rate": 9.137611077968923e-06, + "loss": 0.4209, + "step": 24660 + }, + { + "epoch": 0.86, + "learning_rate": 9.133017225641571e-06, + "loss": 0.4534, + "step": 24661 + }, + { + "epoch": 0.86, + "learning_rate": 9.128424473107589e-06, + "loss": 0.4258, + "step": 24662 + }, + { + "epoch": 0.86, + "learning_rate": 9.123832820422606e-06, + "loss": 0.3876, + "step": 24663 + }, + { + "epoch": 0.86, + "learning_rate": 9.119242267642181e-06, + "loss": 0.3412, + "step": 24664 + }, + { + "epoch": 0.86, + "learning_rate": 9.114652814821866e-06, + "loss": 0.4481, + "step": 24665 + }, + { + "epoch": 0.86, + "learning_rate": 9.110064462017209e-06, + "loss": 0.486, + "step": 24666 + }, + { + "epoch": 0.86, + "learning_rate": 9.105477209283742e-06, + "loss": 0.4047, + "step": 24667 + }, + { + "epoch": 0.86, + "learning_rate": 9.100891056677007e-06, + "loss": 0.4358, + "step": 24668 + }, + { + "epoch": 0.86, + "learning_rate": 9.096306004252498e-06, + "loss": 0.5151, + "step": 24669 + }, + { + "epoch": 0.86, + "learning_rate": 9.091722052065709e-06, + "loss": 0.3966, + "step": 24670 + }, + { + "epoch": 0.86, + "learning_rate": 9.087139200172124e-06, + "loss": 0.5623, + "step": 24671 + }, + { + "epoch": 0.86, + "learning_rate": 9.082557448627183e-06, + "loss": 0.4025, + "step": 24672 + }, + { + "epoch": 0.86, + "learning_rate": 9.077976797486386e-06, + "loss": 0.4195, + "step": 24673 + }, + { + "epoch": 0.86, + "learning_rate": 9.07339724680516e-06, + "loss": 0.4436, + "step": 24674 + }, + { + "epoch": 0.86, + "learning_rate": 9.068818796638923e-06, + "loss": 0.407, + "step": 24675 + }, + { + "epoch": 0.86, + "learning_rate": 9.064241447043098e-06, + "loss": 0.3757, + "step": 24676 + }, + { + "epoch": 0.86, + "learning_rate": 9.059665198073052e-06, + "loss": 0.3707, + "step": 24677 + }, + { + "epoch": 0.86, + "learning_rate": 9.055090049784231e-06, + "loss": 0.4172, + "step": 24678 + }, + { + "epoch": 0.86, + "learning_rate": 9.050516002231969e-06, + "loss": 0.4046, + "step": 24679 + }, + { + "epoch": 0.86, + "learning_rate": 9.045943055471651e-06, + "loss": 0.489, + "step": 24680 + }, + { + "epoch": 0.86, + "learning_rate": 9.041371209558603e-06, + "loss": 0.3859, + "step": 24681 + }, + { + "epoch": 0.86, + "learning_rate": 9.036800464548157e-06, + "loss": 0.3619, + "step": 24682 + }, + { + "epoch": 0.86, + "learning_rate": 9.032230820495668e-06, + "loss": 0.385, + "step": 24683 + }, + { + "epoch": 0.86, + "learning_rate": 9.027662277456417e-06, + "loss": 0.46, + "step": 24684 + }, + { + "epoch": 0.86, + "learning_rate": 9.023094835485701e-06, + "loss": 0.399, + "step": 24685 + }, + { + "epoch": 0.86, + "learning_rate": 9.018528494638811e-06, + "loss": 0.4152, + "step": 24686 + }, + { + "epoch": 0.86, + "learning_rate": 9.013963254971002e-06, + "loss": 0.3221, + "step": 24687 + }, + { + "epoch": 0.86, + "learning_rate": 9.00939911653752e-06, + "loss": 0.3674, + "step": 24688 + }, + { + "epoch": 0.86, + "learning_rate": 9.004836079393642e-06, + "loss": 0.3507, + "step": 24689 + }, + { + "epoch": 0.86, + "learning_rate": 9.000274143594578e-06, + "loss": 0.4306, + "step": 24690 + }, + { + "epoch": 0.86, + "learning_rate": 8.99571330919553e-06, + "loss": 0.3599, + "step": 24691 + }, + { + "epoch": 0.86, + "learning_rate": 8.991153576251721e-06, + "loss": 0.4177, + "step": 24692 + }, + { + "epoch": 0.86, + "learning_rate": 8.986594944818305e-06, + "loss": 0.3715, + "step": 24693 + }, + { + "epoch": 0.86, + "learning_rate": 8.982037414950495e-06, + "loss": 0.3584, + "step": 24694 + }, + { + "epoch": 0.86, + "learning_rate": 8.977480986703434e-06, + "loss": 0.4145, + "step": 24695 + }, + { + "epoch": 0.86, + "learning_rate": 8.97292566013227e-06, + "loss": 0.3718, + "step": 24696 + }, + { + "epoch": 0.86, + "learning_rate": 8.968371435292144e-06, + "loss": 0.4178, + "step": 24697 + }, + { + "epoch": 0.86, + "learning_rate": 8.963818312238159e-06, + "loss": 0.5303, + "step": 24698 + }, + { + "epoch": 0.86, + "learning_rate": 8.959266291025448e-06, + "loss": 0.4405, + "step": 24699 + }, + { + "epoch": 0.86, + "learning_rate": 8.9547153717091e-06, + "loss": 0.3891, + "step": 24700 + }, + { + "epoch": 0.86, + "learning_rate": 8.950165554344192e-06, + "loss": 0.4673, + "step": 24701 + }, + { + "epoch": 0.86, + "learning_rate": 8.945616838985782e-06, + "loss": 0.4501, + "step": 24702 + }, + { + "epoch": 0.86, + "learning_rate": 8.941069225688925e-06, + "loss": 0.4295, + "step": 24703 + }, + { + "epoch": 0.86, + "learning_rate": 8.936522714508678e-06, + "loss": 0.4495, + "step": 24704 + }, + { + "epoch": 0.86, + "learning_rate": 8.931977305500072e-06, + "loss": 0.4353, + "step": 24705 + }, + { + "epoch": 0.86, + "learning_rate": 8.9274329987181e-06, + "loss": 0.3787, + "step": 24706 + }, + { + "epoch": 0.86, + "learning_rate": 8.922889794217782e-06, + "loss": 0.4078, + "step": 24707 + }, + { + "epoch": 0.86, + "learning_rate": 8.918347692054086e-06, + "loss": 0.3667, + "step": 24708 + }, + { + "epoch": 0.86, + "learning_rate": 8.913806692282012e-06, + "loss": 0.4868, + "step": 24709 + }, + { + "epoch": 0.86, + "learning_rate": 8.909266794956506e-06, + "loss": 0.4605, + "step": 24710 + }, + { + "epoch": 0.86, + "learning_rate": 8.904728000132523e-06, + "loss": 0.368, + "step": 24711 + }, + { + "epoch": 0.86, + "learning_rate": 8.900190307864986e-06, + "loss": 0.4746, + "step": 24712 + }, + { + "epoch": 0.86, + "learning_rate": 8.895653718208807e-06, + "loss": 0.5005, + "step": 24713 + }, + { + "epoch": 0.86, + "learning_rate": 8.891118231218932e-06, + "loss": 0.4664, + "step": 24714 + }, + { + "epoch": 0.86, + "learning_rate": 8.886583846950225e-06, + "loss": 0.4212, + "step": 24715 + }, + { + "epoch": 0.86, + "learning_rate": 8.882050565457589e-06, + "loss": 0.4656, + "step": 24716 + }, + { + "epoch": 0.86, + "learning_rate": 8.87751838679587e-06, + "loss": 0.3811, + "step": 24717 + }, + { + "epoch": 0.86, + "learning_rate": 8.87298731101991e-06, + "loss": 0.4499, + "step": 24718 + }, + { + "epoch": 0.87, + "learning_rate": 8.868457338184588e-06, + "loss": 0.4249, + "step": 24719 + }, + { + "epoch": 0.87, + "learning_rate": 8.863928468344718e-06, + "loss": 0.3731, + "step": 24720 + }, + { + "epoch": 0.87, + "learning_rate": 8.85940070155512e-06, + "loss": 0.4071, + "step": 24721 + }, + { + "epoch": 0.87, + "learning_rate": 8.854874037870575e-06, + "loss": 0.4286, + "step": 24722 + }, + { + "epoch": 0.87, + "learning_rate": 8.850348477345882e-06, + "loss": 0.3393, + "step": 24723 + }, + { + "epoch": 0.87, + "learning_rate": 8.845824020035799e-06, + "loss": 0.381, + "step": 24724 + }, + { + "epoch": 0.87, + "learning_rate": 8.841300665995123e-06, + "loss": 0.455, + "step": 24725 + }, + { + "epoch": 0.87, + "learning_rate": 8.83677841527858e-06, + "loss": 0.409, + "step": 24726 + }, + { + "epoch": 0.87, + "learning_rate": 8.832257267940913e-06, + "loss": 0.4148, + "step": 24727 + }, + { + "epoch": 0.87, + "learning_rate": 8.827737224036824e-06, + "loss": 0.3575, + "step": 24728 + }, + { + "epoch": 0.87, + "learning_rate": 8.823218283621027e-06, + "loss": 0.3674, + "step": 24729 + }, + { + "epoch": 0.87, + "learning_rate": 8.81870044674823e-06, + "loss": 0.3868, + "step": 24730 + }, + { + "epoch": 0.87, + "learning_rate": 8.814183713473112e-06, + "loss": 0.4544, + "step": 24731 + }, + { + "epoch": 0.87, + "learning_rate": 8.809668083850331e-06, + "loss": 0.3762, + "step": 24732 + }, + { + "epoch": 0.87, + "learning_rate": 8.805153557934542e-06, + "loss": 0.4556, + "step": 24733 + }, + { + "epoch": 0.87, + "learning_rate": 8.80064013578038e-06, + "loss": 0.4663, + "step": 24734 + }, + { + "epoch": 0.87, + "learning_rate": 8.796127817442489e-06, + "loss": 0.3902, + "step": 24735 + }, + { + "epoch": 0.87, + "learning_rate": 8.791616602975483e-06, + "loss": 0.352, + "step": 24736 + }, + { + "epoch": 0.87, + "learning_rate": 8.78710649243395e-06, + "loss": 0.3764, + "step": 24737 + }, + { + "epoch": 0.87, + "learning_rate": 8.78259748587248e-06, + "loss": 0.4397, + "step": 24738 + }, + { + "epoch": 0.87, + "learning_rate": 8.778089583345661e-06, + "loss": 0.4279, + "step": 24739 + }, + { + "epoch": 0.87, + "learning_rate": 8.77358278490803e-06, + "loss": 0.3886, + "step": 24740 + }, + { + "epoch": 0.87, + "learning_rate": 8.769077090614142e-06, + "loss": 0.4674, + "step": 24741 + }, + { + "epoch": 0.87, + "learning_rate": 8.764572500518542e-06, + "loss": 0.4398, + "step": 24742 + }, + { + "epoch": 0.87, + "learning_rate": 8.760069014675731e-06, + "loss": 0.4321, + "step": 24743 + }, + { + "epoch": 0.87, + "learning_rate": 8.755566633140245e-06, + "loss": 0.3818, + "step": 24744 + }, + { + "epoch": 0.87, + "learning_rate": 8.751065355966547e-06, + "loss": 0.4037, + "step": 24745 + }, + { + "epoch": 0.87, + "learning_rate": 8.746565183209143e-06, + "loss": 0.4192, + "step": 24746 + }, + { + "epoch": 0.87, + "learning_rate": 8.742066114922499e-06, + "loss": 0.3196, + "step": 24747 + }, + { + "epoch": 0.87, + "learning_rate": 8.737568151161024e-06, + "loss": 0.3965, + "step": 24748 + }, + { + "epoch": 0.87, + "learning_rate": 8.733071291979223e-06, + "loss": 0.4338, + "step": 24749 + }, + { + "epoch": 0.87, + "learning_rate": 8.728575537431483e-06, + "loss": 0.4965, + "step": 24750 + }, + { + "epoch": 0.87, + "learning_rate": 8.724080887572227e-06, + "loss": 0.496, + "step": 24751 + }, + { + "epoch": 0.87, + "learning_rate": 8.719587342455859e-06, + "loss": 0.3685, + "step": 24752 + }, + { + "epoch": 0.87, + "learning_rate": 8.715094902136756e-06, + "loss": 0.3825, + "step": 24753 + }, + { + "epoch": 0.87, + "learning_rate": 8.710603566669306e-06, + "loss": 0.4424, + "step": 24754 + }, + { + "epoch": 0.87, + "learning_rate": 8.706113336107857e-06, + "loss": 0.4639, + "step": 24755 + }, + { + "epoch": 0.87, + "learning_rate": 8.701624210506765e-06, + "loss": 0.3906, + "step": 24756 + }, + { + "epoch": 0.87, + "learning_rate": 8.697136189920362e-06, + "loss": 0.3697, + "step": 24757 + }, + { + "epoch": 0.87, + "learning_rate": 8.692649274402963e-06, + "loss": 0.4353, + "step": 24758 + }, + { + "epoch": 0.87, + "learning_rate": 8.688163464008858e-06, + "loss": 0.444, + "step": 24759 + }, + { + "epoch": 0.87, + "learning_rate": 8.68367875879238e-06, + "loss": 0.4142, + "step": 24760 + }, + { + "epoch": 0.87, + "learning_rate": 8.679195158807784e-06, + "loss": 0.3453, + "step": 24761 + }, + { + "epoch": 0.87, + "learning_rate": 8.67471266410933e-06, + "loss": 0.4022, + "step": 24762 + }, + { + "epoch": 0.87, + "learning_rate": 8.670231274751295e-06, + "loss": 0.4456, + "step": 24763 + }, + { + "epoch": 0.87, + "learning_rate": 8.66575099078788e-06, + "loss": 0.5193, + "step": 24764 + }, + { + "epoch": 0.87, + "learning_rate": 8.661271812273353e-06, + "loss": 0.3841, + "step": 24765 + }, + { + "epoch": 0.87, + "learning_rate": 8.656793739261915e-06, + "loss": 0.4831, + "step": 24766 + }, + { + "epoch": 0.87, + "learning_rate": 8.652316771807767e-06, + "loss": 0.3795, + "step": 24767 + }, + { + "epoch": 0.87, + "learning_rate": 8.647840909965078e-06, + "loss": 0.4104, + "step": 24768 + }, + { + "epoch": 0.87, + "learning_rate": 8.643366153788013e-06, + "loss": 0.405, + "step": 24769 + }, + { + "epoch": 0.87, + "learning_rate": 8.638892503330775e-06, + "loss": 0.3532, + "step": 24770 + }, + { + "epoch": 0.87, + "learning_rate": 8.634419958647477e-06, + "loss": 0.4041, + "step": 24771 + }, + { + "epoch": 0.87, + "learning_rate": 8.629948519792274e-06, + "loss": 0.3523, + "step": 24772 + }, + { + "epoch": 0.87, + "learning_rate": 8.625478186819258e-06, + "loss": 0.5137, + "step": 24773 + }, + { + "epoch": 0.87, + "learning_rate": 8.621008959782539e-06, + "loss": 0.4044, + "step": 24774 + }, + { + "epoch": 0.87, + "learning_rate": 8.616540838736231e-06, + "loss": 0.4095, + "step": 24775 + }, + { + "epoch": 0.87, + "learning_rate": 8.612073823734401e-06, + "loss": 0.4754, + "step": 24776 + }, + { + "epoch": 0.87, + "learning_rate": 8.607607914831117e-06, + "loss": 0.4077, + "step": 24777 + }, + { + "epoch": 0.87, + "learning_rate": 8.603143112080436e-06, + "loss": 0.417, + "step": 24778 + }, + { + "epoch": 0.87, + "learning_rate": 8.59867941553636e-06, + "loss": 0.4193, + "step": 24779 + }, + { + "epoch": 0.87, + "learning_rate": 8.594216825252966e-06, + "loss": 0.4628, + "step": 24780 + }, + { + "epoch": 0.87, + "learning_rate": 8.589755341284256e-06, + "loss": 0.5183, + "step": 24781 + }, + { + "epoch": 0.87, + "learning_rate": 8.58529496368421e-06, + "loss": 0.4239, + "step": 24782 + }, + { + "epoch": 0.87, + "learning_rate": 8.580835692506817e-06, + "loss": 0.4306, + "step": 24783 + }, + { + "epoch": 0.87, + "learning_rate": 8.576377527806035e-06, + "loss": 0.3973, + "step": 24784 + }, + { + "epoch": 0.87, + "learning_rate": 8.571920469635864e-06, + "loss": 0.4082, + "step": 24785 + }, + { + "epoch": 0.87, + "learning_rate": 8.567464518050228e-06, + "loss": 0.3449, + "step": 24786 + }, + { + "epoch": 0.87, + "learning_rate": 8.56300967310305e-06, + "loss": 0.3419, + "step": 24787 + }, + { + "epoch": 0.87, + "learning_rate": 8.558555934848266e-06, + "loss": 0.3266, + "step": 24788 + }, + { + "epoch": 0.87, + "learning_rate": 8.554103303339756e-06, + "loss": 0.4454, + "step": 24789 + }, + { + "epoch": 0.87, + "learning_rate": 8.549651778631418e-06, + "loss": 0.3553, + "step": 24790 + }, + { + "epoch": 0.87, + "learning_rate": 8.545201360777155e-06, + "loss": 0.4225, + "step": 24791 + }, + { + "epoch": 0.87, + "learning_rate": 8.540752049830825e-06, + "loss": 0.3721, + "step": 24792 + }, + { + "epoch": 0.87, + "learning_rate": 8.53630384584626e-06, + "loss": 0.426, + "step": 24793 + }, + { + "epoch": 0.87, + "learning_rate": 8.531856748877309e-06, + "loss": 0.3487, + "step": 24794 + }, + { + "epoch": 0.87, + "learning_rate": 8.527410758977772e-06, + "loss": 0.3639, + "step": 24795 + }, + { + "epoch": 0.87, + "learning_rate": 8.522965876201505e-06, + "loss": 0.454, + "step": 24796 + }, + { + "epoch": 0.87, + "learning_rate": 8.518522100602288e-06, + "loss": 0.3657, + "step": 24797 + }, + { + "epoch": 0.87, + "learning_rate": 8.514079432233913e-06, + "loss": 0.3438, + "step": 24798 + }, + { + "epoch": 0.87, + "learning_rate": 8.509637871150122e-06, + "loss": 0.3852, + "step": 24799 + }, + { + "epoch": 0.87, + "learning_rate": 8.505197417404687e-06, + "loss": 0.3576, + "step": 24800 + }, + { + "epoch": 0.87, + "eval_loss": 0.40213853120803833, + "eval_runtime": 846.1675, + "eval_samples_per_second": 28.434, + "eval_steps_per_second": 14.217, + "step": 24800 + }, + { + "epoch": 0.87, + "learning_rate": 8.500758071051362e-06, + "loss": 0.4403, + "step": 24801 + }, + { + "epoch": 0.87, + "learning_rate": 8.496319832143884e-06, + "loss": 0.3533, + "step": 24802 + }, + { + "epoch": 0.87, + "learning_rate": 8.491882700735954e-06, + "loss": 0.4735, + "step": 24803 + }, + { + "epoch": 0.87, + "learning_rate": 8.487446676881282e-06, + "loss": 0.4552, + "step": 24804 + }, + { + "epoch": 0.87, + "learning_rate": 8.483011760633542e-06, + "loss": 0.4295, + "step": 24805 + }, + { + "epoch": 0.87, + "learning_rate": 8.47857795204644e-06, + "loss": 0.4298, + "step": 24806 + }, + { + "epoch": 0.87, + "learning_rate": 8.474145251173626e-06, + "loss": 0.3833, + "step": 24807 + }, + { + "epoch": 0.87, + "learning_rate": 8.469713658068757e-06, + "loss": 0.4714, + "step": 24808 + }, + { + "epoch": 0.87, + "learning_rate": 8.465283172785465e-06, + "loss": 0.408, + "step": 24809 + }, + { + "epoch": 0.87, + "learning_rate": 8.460853795377343e-06, + "loss": 0.4131, + "step": 24810 + }, + { + "epoch": 0.87, + "learning_rate": 8.45642552589806e-06, + "loss": 0.4861, + "step": 24811 + }, + { + "epoch": 0.87, + "learning_rate": 8.451998364401181e-06, + "loss": 0.4073, + "step": 24812 + }, + { + "epoch": 0.87, + "learning_rate": 8.4475723109403e-06, + "loss": 0.3789, + "step": 24813 + }, + { + "epoch": 0.87, + "learning_rate": 8.44314736556897e-06, + "loss": 0.5924, + "step": 24814 + }, + { + "epoch": 0.87, + "learning_rate": 8.438723528340742e-06, + "loss": 0.4621, + "step": 24815 + }, + { + "epoch": 0.87, + "learning_rate": 8.434300799309191e-06, + "loss": 0.3977, + "step": 24816 + }, + { + "epoch": 0.87, + "learning_rate": 8.429879178527833e-06, + "loss": 0.4799, + "step": 24817 + }, + { + "epoch": 0.87, + "learning_rate": 8.425458666050178e-06, + "loss": 0.3617, + "step": 24818 + }, + { + "epoch": 0.87, + "learning_rate": 8.42103926192973e-06, + "loss": 0.4612, + "step": 24819 + }, + { + "epoch": 0.87, + "learning_rate": 8.416620966219968e-06, + "loss": 0.3884, + "step": 24820 + }, + { + "epoch": 0.87, + "learning_rate": 8.412203778974404e-06, + "loss": 0.4048, + "step": 24821 + }, + { + "epoch": 0.87, + "learning_rate": 8.407787700246471e-06, + "loss": 0.394, + "step": 24822 + }, + { + "epoch": 0.87, + "learning_rate": 8.40337273008962e-06, + "loss": 0.5365, + "step": 24823 + }, + { + "epoch": 0.87, + "learning_rate": 8.398958868557305e-06, + "loss": 0.422, + "step": 24824 + }, + { + "epoch": 0.87, + "learning_rate": 8.394546115702928e-06, + "loss": 0.3953, + "step": 24825 + }, + { + "epoch": 0.87, + "learning_rate": 8.39013447157988e-06, + "loss": 0.5007, + "step": 24826 + }, + { + "epoch": 0.87, + "learning_rate": 8.385723936241608e-06, + "loss": 0.3752, + "step": 24827 + }, + { + "epoch": 0.87, + "learning_rate": 8.381314509741467e-06, + "loss": 0.423, + "step": 24828 + }, + { + "epoch": 0.87, + "learning_rate": 8.376906192132828e-06, + "loss": 0.3731, + "step": 24829 + }, + { + "epoch": 0.87, + "learning_rate": 8.372498983469034e-06, + "loss": 0.4828, + "step": 24830 + }, + { + "epoch": 0.87, + "learning_rate": 8.368092883803435e-06, + "loss": 0.4026, + "step": 24831 + }, + { + "epoch": 0.87, + "learning_rate": 8.363687893189375e-06, + "loss": 0.4481, + "step": 24832 + }, + { + "epoch": 0.87, + "learning_rate": 8.359284011680157e-06, + "loss": 0.324, + "step": 24833 + }, + { + "epoch": 0.87, + "learning_rate": 8.354881239329081e-06, + "loss": 0.4608, + "step": 24834 + }, + { + "epoch": 0.87, + "learning_rate": 8.350479576189429e-06, + "loss": 0.3834, + "step": 24835 + }, + { + "epoch": 0.87, + "learning_rate": 8.346079022314479e-06, + "loss": 0.4821, + "step": 24836 + }, + { + "epoch": 0.87, + "learning_rate": 8.34167957775751e-06, + "loss": 0.431, + "step": 24837 + }, + { + "epoch": 0.87, + "learning_rate": 8.337281242571749e-06, + "loss": 0.43, + "step": 24838 + }, + { + "epoch": 0.87, + "learning_rate": 8.332884016810449e-06, + "loss": 0.4086, + "step": 24839 + }, + { + "epoch": 0.87, + "learning_rate": 8.328487900526816e-06, + "loss": 0.4168, + "step": 24840 + }, + { + "epoch": 0.87, + "learning_rate": 8.324092893774038e-06, + "loss": 0.4245, + "step": 24841 + }, + { + "epoch": 0.87, + "learning_rate": 8.319698996605363e-06, + "loss": 0.396, + "step": 24842 + }, + { + "epoch": 0.87, + "learning_rate": 8.315306209073925e-06, + "loss": 0.3993, + "step": 24843 + }, + { + "epoch": 0.87, + "learning_rate": 8.310914531232927e-06, + "loss": 0.4989, + "step": 24844 + }, + { + "epoch": 0.87, + "learning_rate": 8.306523963135493e-06, + "loss": 0.564, + "step": 24845 + }, + { + "epoch": 0.87, + "learning_rate": 8.302134504834758e-06, + "loss": 0.3714, + "step": 24846 + }, + { + "epoch": 0.87, + "learning_rate": 8.297746156383879e-06, + "loss": 0.3847, + "step": 24847 + }, + { + "epoch": 0.87, + "learning_rate": 8.29335891783597e-06, + "loss": 0.4633, + "step": 24848 + }, + { + "epoch": 0.87, + "learning_rate": 8.288972789244109e-06, + "loss": 0.4544, + "step": 24849 + }, + { + "epoch": 0.87, + "learning_rate": 8.28458777066139e-06, + "loss": 0.3709, + "step": 24850 + }, + { + "epoch": 0.87, + "learning_rate": 8.280203862140868e-06, + "loss": 0.5008, + "step": 24851 + }, + { + "epoch": 0.87, + "learning_rate": 8.275821063735645e-06, + "loss": 0.408, + "step": 24852 + }, + { + "epoch": 0.87, + "learning_rate": 8.271439375498747e-06, + "loss": 0.492, + "step": 24853 + }, + { + "epoch": 0.87, + "learning_rate": 8.267058797483196e-06, + "loss": 0.3947, + "step": 24854 + }, + { + "epoch": 0.87, + "learning_rate": 8.26267932974203e-06, + "loss": 0.4362, + "step": 24855 + }, + { + "epoch": 0.87, + "learning_rate": 8.258300972328248e-06, + "loss": 0.5343, + "step": 24856 + }, + { + "epoch": 0.87, + "learning_rate": 8.25392372529481e-06, + "loss": 0.4296, + "step": 24857 + }, + { + "epoch": 0.87, + "learning_rate": 8.24954758869475e-06, + "loss": 0.3454, + "step": 24858 + }, + { + "epoch": 0.87, + "learning_rate": 8.245172562581017e-06, + "loss": 0.3967, + "step": 24859 + }, + { + "epoch": 0.87, + "learning_rate": 8.240798647006554e-06, + "loss": 0.3822, + "step": 24860 + }, + { + "epoch": 0.87, + "learning_rate": 8.236425842024287e-06, + "loss": 0.4781, + "step": 24861 + }, + { + "epoch": 0.87, + "learning_rate": 8.232054147687151e-06, + "loss": 0.4367, + "step": 24862 + }, + { + "epoch": 0.87, + "learning_rate": 8.227683564048084e-06, + "loss": 0.3903, + "step": 24863 + }, + { + "epoch": 0.87, + "learning_rate": 8.223314091159962e-06, + "loss": 0.4963, + "step": 24864 + }, + { + "epoch": 0.87, + "learning_rate": 8.218945729075666e-06, + "loss": 0.4267, + "step": 24865 + }, + { + "epoch": 0.87, + "learning_rate": 8.21457847784809e-06, + "loss": 0.3713, + "step": 24866 + }, + { + "epoch": 0.87, + "learning_rate": 8.210212337530044e-06, + "loss": 0.4645, + "step": 24867 + }, + { + "epoch": 0.87, + "learning_rate": 8.20584730817443e-06, + "loss": 0.3448, + "step": 24868 + }, + { + "epoch": 0.87, + "learning_rate": 8.201483389834052e-06, + "loss": 0.4019, + "step": 24869 + }, + { + "epoch": 0.87, + "learning_rate": 8.197120582561724e-06, + "loss": 0.3977, + "step": 24870 + }, + { + "epoch": 0.87, + "learning_rate": 8.192758886410268e-06, + "loss": 0.464, + "step": 24871 + }, + { + "epoch": 0.87, + "learning_rate": 8.188398301432465e-06, + "loss": 0.4396, + "step": 24872 + }, + { + "epoch": 0.87, + "learning_rate": 8.184038827681084e-06, + "loss": 0.397, + "step": 24873 + }, + { + "epoch": 0.87, + "learning_rate": 8.179680465208895e-06, + "loss": 0.3909, + "step": 24874 + }, + { + "epoch": 0.87, + "learning_rate": 8.175323214068664e-06, + "loss": 0.3994, + "step": 24875 + }, + { + "epoch": 0.87, + "learning_rate": 8.170967074313085e-06, + "loss": 0.4108, + "step": 24876 + }, + { + "epoch": 0.87, + "learning_rate": 8.166612045994936e-06, + "loss": 0.4618, + "step": 24877 + }, + { + "epoch": 0.87, + "learning_rate": 8.1622581291669e-06, + "loss": 0.4758, + "step": 24878 + }, + { + "epoch": 0.87, + "learning_rate": 8.157905323881676e-06, + "loss": 0.364, + "step": 24879 + }, + { + "epoch": 0.87, + "learning_rate": 8.153553630191956e-06, + "loss": 0.4098, + "step": 24880 + }, + { + "epoch": 0.87, + "learning_rate": 8.149203048150377e-06, + "loss": 0.482, + "step": 24881 + }, + { + "epoch": 0.87, + "learning_rate": 8.144853577809641e-06, + "loss": 0.3952, + "step": 24882 + }, + { + "epoch": 0.87, + "learning_rate": 8.140505219222372e-06, + "loss": 0.3721, + "step": 24883 + }, + { + "epoch": 0.87, + "learning_rate": 8.136157972441206e-06, + "loss": 0.374, + "step": 24884 + }, + { + "epoch": 0.87, + "learning_rate": 8.131811837518744e-06, + "loss": 0.4845, + "step": 24885 + }, + { + "epoch": 0.87, + "learning_rate": 8.127466814507578e-06, + "loss": 0.3843, + "step": 24886 + }, + { + "epoch": 0.87, + "learning_rate": 8.123122903460334e-06, + "loss": 0.3811, + "step": 24887 + }, + { + "epoch": 0.87, + "learning_rate": 8.118780104429568e-06, + "loss": 0.4296, + "step": 24888 + }, + { + "epoch": 0.87, + "learning_rate": 8.11443841746785e-06, + "loss": 0.4867, + "step": 24889 + }, + { + "epoch": 0.87, + "learning_rate": 8.110097842627728e-06, + "loss": 0.3952, + "step": 24890 + }, + { + "epoch": 0.87, + "learning_rate": 8.105758379961726e-06, + "loss": 0.4322, + "step": 24891 + }, + { + "epoch": 0.87, + "learning_rate": 8.101420029522356e-06, + "loss": 0.4706, + "step": 24892 + }, + { + "epoch": 0.87, + "learning_rate": 8.097082791362154e-06, + "loss": 0.421, + "step": 24893 + }, + { + "epoch": 0.87, + "learning_rate": 8.092746665533613e-06, + "loss": 0.3535, + "step": 24894 + }, + { + "epoch": 0.87, + "learning_rate": 8.088411652089201e-06, + "loss": 0.3462, + "step": 24895 + }, + { + "epoch": 0.87, + "learning_rate": 8.084077751081387e-06, + "loss": 0.5381, + "step": 24896 + }, + { + "epoch": 0.87, + "learning_rate": 8.079744962562619e-06, + "loss": 0.3924, + "step": 24897 + }, + { + "epoch": 0.87, + "learning_rate": 8.075413286585364e-06, + "loss": 0.4638, + "step": 24898 + }, + { + "epoch": 0.87, + "learning_rate": 8.071082723202028e-06, + "loss": 0.3692, + "step": 24899 + }, + { + "epoch": 0.87, + "learning_rate": 8.066753272465032e-06, + "loss": 0.4905, + "step": 24900 + }, + { + "epoch": 0.87, + "learning_rate": 8.062424934426783e-06, + "loss": 0.439, + "step": 24901 + }, + { + "epoch": 0.87, + "learning_rate": 8.058097709139644e-06, + "loss": 0.4189, + "step": 24902 + }, + { + "epoch": 0.87, + "learning_rate": 8.053771596656023e-06, + "loss": 0.3947, + "step": 24903 + }, + { + "epoch": 0.87, + "learning_rate": 8.049446597028265e-06, + "loss": 0.4025, + "step": 24904 + }, + { + "epoch": 0.87, + "learning_rate": 8.045122710308716e-06, + "loss": 0.4097, + "step": 24905 + }, + { + "epoch": 0.87, + "learning_rate": 8.040799936549703e-06, + "loss": 0.4338, + "step": 24906 + }, + { + "epoch": 0.87, + "learning_rate": 8.036478275803538e-06, + "loss": 0.4389, + "step": 24907 + }, + { + "epoch": 0.87, + "learning_rate": 8.032157728122559e-06, + "loss": 0.4379, + "step": 24908 + }, + { + "epoch": 0.87, + "learning_rate": 8.027838293559043e-06, + "loss": 0.3945, + "step": 24909 + }, + { + "epoch": 0.87, + "learning_rate": 8.023519972165273e-06, + "loss": 0.4482, + "step": 24910 + }, + { + "epoch": 0.87, + "learning_rate": 8.019202763993505e-06, + "loss": 0.3587, + "step": 24911 + }, + { + "epoch": 0.87, + "learning_rate": 8.014886669095977e-06, + "loss": 0.4502, + "step": 24912 + }, + { + "epoch": 0.87, + "learning_rate": 8.010571687524971e-06, + "loss": 0.5079, + "step": 24913 + }, + { + "epoch": 0.87, + "learning_rate": 8.006257819332685e-06, + "loss": 0.3224, + "step": 24914 + }, + { + "epoch": 0.87, + "learning_rate": 8.001945064571336e-06, + "loss": 0.4664, + "step": 24915 + }, + { + "epoch": 0.87, + "learning_rate": 7.997633423293128e-06, + "loss": 0.398, + "step": 24916 + }, + { + "epoch": 0.87, + "learning_rate": 7.993322895550216e-06, + "loss": 0.4017, + "step": 24917 + }, + { + "epoch": 0.87, + "learning_rate": 7.989013481394814e-06, + "loss": 0.4005, + "step": 24918 + }, + { + "epoch": 0.87, + "learning_rate": 7.98470518087907e-06, + "loss": 0.3621, + "step": 24919 + }, + { + "epoch": 0.87, + "learning_rate": 7.980397994055122e-06, + "loss": 0.3424, + "step": 24920 + }, + { + "epoch": 0.87, + "learning_rate": 7.976091920975093e-06, + "loss": 0.4114, + "step": 24921 + }, + { + "epoch": 0.87, + "learning_rate": 7.971786961691097e-06, + "loss": 0.3939, + "step": 24922 + }, + { + "epoch": 0.87, + "learning_rate": 7.96748311625527e-06, + "loss": 0.5262, + "step": 24923 + }, + { + "epoch": 0.87, + "learning_rate": 7.96318038471967e-06, + "loss": 0.5309, + "step": 24924 + }, + { + "epoch": 0.87, + "learning_rate": 7.958878767136401e-06, + "loss": 0.3934, + "step": 24925 + }, + { + "epoch": 0.87, + "learning_rate": 7.95457826355751e-06, + "loss": 0.3434, + "step": 24926 + }, + { + "epoch": 0.87, + "learning_rate": 7.950278874035055e-06, + "loss": 0.3393, + "step": 24927 + }, + { + "epoch": 0.87, + "learning_rate": 7.945980598621039e-06, + "loss": 0.4199, + "step": 24928 + }, + { + "epoch": 0.87, + "learning_rate": 7.941683437367542e-06, + "loss": 0.3986, + "step": 24929 + }, + { + "epoch": 0.87, + "learning_rate": 7.937387390326545e-06, + "loss": 0.4507, + "step": 24930 + }, + { + "epoch": 0.87, + "learning_rate": 7.933092457550051e-06, + "loss": 0.4282, + "step": 24931 + }, + { + "epoch": 0.87, + "learning_rate": 7.928798639090029e-06, + "loss": 0.4288, + "step": 24932 + }, + { + "epoch": 0.87, + "learning_rate": 7.92450593499845e-06, + "loss": 0.484, + "step": 24933 + }, + { + "epoch": 0.87, + "learning_rate": 7.920214345327293e-06, + "loss": 0.4308, + "step": 24934 + }, + { + "epoch": 0.87, + "learning_rate": 7.915923870128482e-06, + "loss": 0.5114, + "step": 24935 + }, + { + "epoch": 0.87, + "learning_rate": 7.911634509453958e-06, + "loss": 0.4591, + "step": 24936 + }, + { + "epoch": 0.87, + "learning_rate": 7.907346263355619e-06, + "loss": 0.4546, + "step": 24937 + }, + { + "epoch": 0.87, + "learning_rate": 7.90305913188536e-06, + "loss": 0.4499, + "step": 24938 + }, + { + "epoch": 0.87, + "learning_rate": 7.898773115095116e-06, + "loss": 0.4123, + "step": 24939 + }, + { + "epoch": 0.87, + "learning_rate": 7.894488213036722e-06, + "loss": 0.428, + "step": 24940 + }, + { + "epoch": 0.87, + "learning_rate": 7.890204425762048e-06, + "loss": 0.4271, + "step": 24941 + }, + { + "epoch": 0.87, + "learning_rate": 7.885921753322944e-06, + "loss": 0.4356, + "step": 24942 + }, + { + "epoch": 0.87, + "learning_rate": 7.881640195771234e-06, + "loss": 0.3914, + "step": 24943 + }, + { + "epoch": 0.87, + "learning_rate": 7.877359753158754e-06, + "loss": 0.4637, + "step": 24944 + }, + { + "epoch": 0.87, + "learning_rate": 7.873080425537316e-06, + "loss": 0.3884, + "step": 24945 + }, + { + "epoch": 0.87, + "learning_rate": 7.868802212958703e-06, + "loss": 0.4116, + "step": 24946 + }, + { + "epoch": 0.87, + "learning_rate": 7.864525115474708e-06, + "loss": 0.3759, + "step": 24947 + }, + { + "epoch": 0.87, + "learning_rate": 7.860249133137054e-06, + "loss": 0.4354, + "step": 24948 + }, + { + "epoch": 0.87, + "learning_rate": 7.855974265997556e-06, + "loss": 0.4042, + "step": 24949 + }, + { + "epoch": 0.87, + "learning_rate": 7.85170051410793e-06, + "loss": 0.4398, + "step": 24950 + }, + { + "epoch": 0.87, + "learning_rate": 7.847427877519897e-06, + "loss": 0.3743, + "step": 24951 + }, + { + "epoch": 0.87, + "learning_rate": 7.843156356285164e-06, + "loss": 0.356, + "step": 24952 + }, + { + "epoch": 0.87, + "learning_rate": 7.838885950455432e-06, + "loss": 0.3649, + "step": 24953 + }, + { + "epoch": 0.87, + "learning_rate": 7.834616660082406e-06, + "loss": 0.4364, + "step": 24954 + }, + { + "epoch": 0.87, + "learning_rate": 7.830348485217753e-06, + "loss": 0.4622, + "step": 24955 + }, + { + "epoch": 0.87, + "learning_rate": 7.826081425913124e-06, + "loss": 0.4788, + "step": 24956 + }, + { + "epoch": 0.87, + "learning_rate": 7.821815482220163e-06, + "loss": 0.3816, + "step": 24957 + }, + { + "epoch": 0.87, + "learning_rate": 7.817550654190509e-06, + "loss": 0.4148, + "step": 24958 + }, + { + "epoch": 0.87, + "learning_rate": 7.813286941875764e-06, + "loss": 0.4437, + "step": 24959 + }, + { + "epoch": 0.87, + "learning_rate": 7.809024345327553e-06, + "loss": 0.4999, + "step": 24960 + }, + { + "epoch": 0.87, + "learning_rate": 7.804762864597471e-06, + "loss": 0.4729, + "step": 24961 + }, + { + "epoch": 0.87, + "learning_rate": 7.800502499737084e-06, + "loss": 0.3668, + "step": 24962 + }, + { + "epoch": 0.87, + "learning_rate": 7.796243250797963e-06, + "loss": 0.449, + "step": 24963 + }, + { + "epoch": 0.87, + "learning_rate": 7.791985117831636e-06, + "loss": 0.364, + "step": 24964 + }, + { + "epoch": 0.87, + "learning_rate": 7.787728100889669e-06, + "loss": 0.3575, + "step": 24965 + }, + { + "epoch": 0.87, + "learning_rate": 7.783472200023589e-06, + "loss": 0.4373, + "step": 24966 + }, + { + "epoch": 0.87, + "learning_rate": 7.77921741528489e-06, + "loss": 0.4174, + "step": 24967 + }, + { + "epoch": 0.87, + "learning_rate": 7.774963746725073e-06, + "loss": 0.4415, + "step": 24968 + }, + { + "epoch": 0.87, + "learning_rate": 7.770711194395596e-06, + "loss": 0.3747, + "step": 24969 + }, + { + "epoch": 0.87, + "learning_rate": 7.766459758347988e-06, + "loss": 0.4322, + "step": 24970 + }, + { + "epoch": 0.87, + "learning_rate": 7.76220943863366e-06, + "loss": 0.4493, + "step": 24971 + }, + { + "epoch": 0.87, + "learning_rate": 7.757960235304074e-06, + "loss": 0.3522, + "step": 24972 + }, + { + "epoch": 0.87, + "learning_rate": 7.753712148410653e-06, + "loss": 0.3798, + "step": 24973 + }, + { + "epoch": 0.87, + "learning_rate": 7.7494651780048e-06, + "loss": 0.4504, + "step": 24974 + }, + { + "epoch": 0.87, + "learning_rate": 7.745219324137942e-06, + "loss": 0.4118, + "step": 24975 + }, + { + "epoch": 0.87, + "learning_rate": 7.74097458686146e-06, + "loss": 0.4621, + "step": 24976 + }, + { + "epoch": 0.87, + "learning_rate": 7.736730966226724e-06, + "loss": 0.4286, + "step": 24977 + }, + { + "epoch": 0.87, + "learning_rate": 7.732488462285104e-06, + "loss": 0.4209, + "step": 24978 + }, + { + "epoch": 0.87, + "learning_rate": 7.728247075087924e-06, + "loss": 0.4907, + "step": 24979 + }, + { + "epoch": 0.87, + "learning_rate": 7.724006804686545e-06, + "loss": 0.4055, + "step": 24980 + }, + { + "epoch": 0.87, + "learning_rate": 7.719767651132292e-06, + "loss": 0.397, + "step": 24981 + }, + { + "epoch": 0.87, + "learning_rate": 7.715529614476457e-06, + "loss": 0.4058, + "step": 24982 + }, + { + "epoch": 0.87, + "learning_rate": 7.711292694770345e-06, + "loss": 0.3672, + "step": 24983 + }, + { + "epoch": 0.87, + "learning_rate": 7.707056892065212e-06, + "loss": 0.5295, + "step": 24984 + }, + { + "epoch": 0.87, + "learning_rate": 7.702822206412353e-06, + "loss": 0.3888, + "step": 24985 + }, + { + "epoch": 0.87, + "learning_rate": 7.698588637863025e-06, + "loss": 0.4224, + "step": 24986 + }, + { + "epoch": 0.87, + "learning_rate": 7.694356186468444e-06, + "loss": 0.4745, + "step": 24987 + }, + { + "epoch": 0.87, + "learning_rate": 7.690124852279856e-06, + "loss": 0.5304, + "step": 24988 + }, + { + "epoch": 0.87, + "learning_rate": 7.68589463534848e-06, + "loss": 0.4404, + "step": 24989 + }, + { + "epoch": 0.87, + "learning_rate": 7.681665535725468e-06, + "loss": 0.455, + "step": 24990 + }, + { + "epoch": 0.87, + "learning_rate": 7.677437553462063e-06, + "loss": 0.3541, + "step": 24991 + }, + { + "epoch": 0.87, + "learning_rate": 7.673210688609423e-06, + "loss": 0.4578, + "step": 24992 + }, + { + "epoch": 0.87, + "learning_rate": 7.668984941218693e-06, + "loss": 0.4492, + "step": 24993 + }, + { + "epoch": 0.87, + "learning_rate": 7.664760311341024e-06, + "loss": 0.3606, + "step": 24994 + }, + { + "epoch": 0.87, + "learning_rate": 7.66053679902754e-06, + "loss": 0.418, + "step": 24995 + }, + { + "epoch": 0.87, + "learning_rate": 7.65631440432939e-06, + "loss": 0.4807, + "step": 24996 + }, + { + "epoch": 0.87, + "learning_rate": 7.652093127297654e-06, + "loss": 0.379, + "step": 24997 + }, + { + "epoch": 0.87, + "learning_rate": 7.647872967983426e-06, + "loss": 0.4522, + "step": 24998 + }, + { + "epoch": 0.87, + "learning_rate": 7.643653926437787e-06, + "loss": 0.3343, + "step": 24999 + }, + { + "epoch": 0.87, + "learning_rate": 7.639436002711786e-06, + "loss": 0.3975, + "step": 25000 + }, + { + "epoch": 0.87, + "eval_loss": 0.4014919400215149, + "eval_runtime": 845.6441, + "eval_samples_per_second": 28.452, + "eval_steps_per_second": 14.226, + "step": 25000 + }, + { + "epoch": 0.87, + "learning_rate": 7.635219196856503e-06, + "loss": 0.415, + "step": 25001 + }, + { + "epoch": 0.87, + "learning_rate": 7.631003508922963e-06, + "loss": 0.4527, + "step": 25002 + }, + { + "epoch": 0.87, + "learning_rate": 7.626788938962193e-06, + "loss": 0.4387, + "step": 25003 + }, + { + "epoch": 0.87, + "learning_rate": 7.622575487025185e-06, + "loss": 0.4192, + "step": 25004 + }, + { + "epoch": 0.88, + "learning_rate": 7.618363153162944e-06, + "loss": 0.4292, + "step": 25005 + }, + { + "epoch": 0.88, + "learning_rate": 7.614151937426472e-06, + "loss": 0.4012, + "step": 25006 + }, + { + "epoch": 0.88, + "learning_rate": 7.609941839866741e-06, + "loss": 0.4288, + "step": 25007 + }, + { + "epoch": 0.88, + "learning_rate": 7.605732860534675e-06, + "loss": 0.3819, + "step": 25008 + }, + { + "epoch": 0.88, + "learning_rate": 7.6015249994812135e-06, + "loss": 0.4055, + "step": 25009 + }, + { + "epoch": 0.88, + "learning_rate": 7.597318256757324e-06, + "loss": 0.3677, + "step": 25010 + }, + { + "epoch": 0.88, + "learning_rate": 7.593112632413901e-06, + "loss": 0.4701, + "step": 25011 + }, + { + "epoch": 0.88, + "learning_rate": 7.588908126501859e-06, + "loss": 0.3751, + "step": 25012 + }, + { + "epoch": 0.88, + "learning_rate": 7.584704739072068e-06, + "loss": 0.3982, + "step": 25013 + }, + { + "epoch": 0.88, + "learning_rate": 7.580502470175399e-06, + "loss": 0.4151, + "step": 25014 + }, + { + "epoch": 0.88, + "learning_rate": 7.576301319862733e-06, + "loss": 0.4467, + "step": 25015 + }, + { + "epoch": 0.88, + "learning_rate": 7.572101288184919e-06, + "loss": 0.3669, + "step": 25016 + }, + { + "epoch": 0.88, + "learning_rate": 7.567902375192781e-06, + "loss": 0.4269, + "step": 25017 + }, + { + "epoch": 0.88, + "learning_rate": 7.563704580937147e-06, + "loss": 0.3891, + "step": 25018 + }, + { + "epoch": 0.88, + "learning_rate": 7.559507905468799e-06, + "loss": 0.428, + "step": 25019 + }, + { + "epoch": 0.88, + "learning_rate": 7.5553123488385616e-06, + "loss": 0.3806, + "step": 25020 + }, + { + "epoch": 0.88, + "learning_rate": 7.551117911097205e-06, + "loss": 0.4179, + "step": 25021 + }, + { + "epoch": 0.88, + "learning_rate": 7.546924592295501e-06, + "loss": 0.415, + "step": 25022 + }, + { + "epoch": 0.88, + "learning_rate": 7.5427323924841975e-06, + "loss": 0.4005, + "step": 25023 + }, + { + "epoch": 0.88, + "learning_rate": 7.53854131171402e-06, + "loss": 0.4078, + "step": 25024 + }, + { + "epoch": 0.88, + "learning_rate": 7.534351350035718e-06, + "loss": 0.4171, + "step": 25025 + }, + { + "epoch": 0.88, + "learning_rate": 7.530162507500005e-06, + "loss": 0.4626, + "step": 25026 + }, + { + "epoch": 0.88, + "learning_rate": 7.525974784157552e-06, + "loss": 0.3457, + "step": 25027 + }, + { + "epoch": 0.88, + "learning_rate": 7.521788180059075e-06, + "loss": 0.4053, + "step": 25028 + }, + { + "epoch": 0.88, + "learning_rate": 7.517602695255232e-06, + "loss": 0.4084, + "step": 25029 + }, + { + "epoch": 0.88, + "learning_rate": 7.513418329796662e-06, + "loss": 0.4874, + "step": 25030 + }, + { + "epoch": 0.88, + "learning_rate": 7.509235083734045e-06, + "loss": 0.4616, + "step": 25031 + }, + { + "epoch": 0.88, + "learning_rate": 7.5050529571179975e-06, + "loss": 0.3894, + "step": 25032 + }, + { + "epoch": 0.88, + "learning_rate": 7.500871949999133e-06, + "loss": 0.3708, + "step": 25033 + }, + { + "epoch": 0.88, + "learning_rate": 7.4966920624280675e-06, + "loss": 0.4244, + "step": 25034 + }, + { + "epoch": 0.88, + "learning_rate": 7.4925132944553615e-06, + "loss": 0.4382, + "step": 25035 + }, + { + "epoch": 0.88, + "learning_rate": 7.488335646131628e-06, + "loss": 0.3596, + "step": 25036 + }, + { + "epoch": 0.88, + "learning_rate": 7.484159117507417e-06, + "loss": 0.5097, + "step": 25037 + }, + { + "epoch": 0.88, + "learning_rate": 7.479983708633287e-06, + "loss": 0.4488, + "step": 25038 + }, + { + "epoch": 0.88, + "learning_rate": 7.475809419559754e-06, + "loss": 0.4564, + "step": 25039 + }, + { + "epoch": 0.88, + "learning_rate": 7.471636250337332e-06, + "loss": 0.3757, + "step": 25040 + }, + { + "epoch": 0.88, + "learning_rate": 7.467464201016583e-06, + "loss": 0.3953, + "step": 25041 + }, + { + "epoch": 0.88, + "learning_rate": 7.463293271647953e-06, + "loss": 0.4352, + "step": 25042 + }, + { + "epoch": 0.88, + "learning_rate": 7.459123462281947e-06, + "loss": 0.3957, + "step": 25043 + }, + { + "epoch": 0.88, + "learning_rate": 7.454954772969036e-06, + "loss": 0.4635, + "step": 25044 + }, + { + "epoch": 0.88, + "learning_rate": 7.4507872037596345e-06, + "loss": 0.3901, + "step": 25045 + }, + { + "epoch": 0.88, + "learning_rate": 7.4466207547042474e-06, + "loss": 0.3379, + "step": 25046 + }, + { + "epoch": 0.88, + "learning_rate": 7.442455425853256e-06, + "loss": 0.3921, + "step": 25047 + }, + { + "epoch": 0.88, + "learning_rate": 7.4382912172570984e-06, + "loss": 0.3189, + "step": 25048 + }, + { + "epoch": 0.88, + "learning_rate": 7.4341281289661665e-06, + "loss": 0.4601, + "step": 25049 + }, + { + "epoch": 0.88, + "learning_rate": 7.429966161030832e-06, + "loss": 0.3728, + "step": 25050 + }, + { + "epoch": 0.88, + "learning_rate": 7.425805313501511e-06, + "loss": 0.4605, + "step": 25051 + }, + { + "epoch": 0.88, + "learning_rate": 7.421645586428516e-06, + "loss": 0.4599, + "step": 25052 + }, + { + "epoch": 0.88, + "learning_rate": 7.417486979862231e-06, + "loss": 0.381, + "step": 25053 + }, + { + "epoch": 0.88, + "learning_rate": 7.4133294938529715e-06, + "loss": 0.4824, + "step": 25054 + }, + { + "epoch": 0.88, + "learning_rate": 7.40917312845103e-06, + "loss": 0.457, + "step": 25055 + }, + { + "epoch": 0.88, + "learning_rate": 7.405017883706766e-06, + "loss": 0.4721, + "step": 25056 + }, + { + "epoch": 0.88, + "learning_rate": 7.400863759670451e-06, + "loss": 0.3605, + "step": 25057 + }, + { + "epoch": 0.88, + "learning_rate": 7.396710756392344e-06, + "loss": 0.3617, + "step": 25058 + }, + { + "epoch": 0.88, + "learning_rate": 7.3925588739227394e-06, + "loss": 0.4763, + "step": 25059 + }, + { + "epoch": 0.88, + "learning_rate": 7.388408112311873e-06, + "loss": 0.5159, + "step": 25060 + }, + { + "epoch": 0.88, + "learning_rate": 7.3842584716099615e-06, + "loss": 0.3759, + "step": 25061 + }, + { + "epoch": 0.88, + "learning_rate": 7.380109951867264e-06, + "loss": 0.3546, + "step": 25062 + }, + { + "epoch": 0.88, + "learning_rate": 7.375962553133997e-06, + "loss": 0.4772, + "step": 25063 + }, + { + "epoch": 0.88, + "learning_rate": 7.37181627546033e-06, + "loss": 0.4066, + "step": 25064 + }, + { + "epoch": 0.88, + "learning_rate": 7.3676711188964576e-06, + "loss": 0.3541, + "step": 25065 + }, + { + "epoch": 0.88, + "learning_rate": 7.363527083492539e-06, + "loss": 0.3675, + "step": 25066 + }, + { + "epoch": 0.88, + "learning_rate": 7.359384169298744e-06, + "loss": 0.355, + "step": 25067 + }, + { + "epoch": 0.88, + "learning_rate": 7.3552423763652235e-06, + "loss": 0.433, + "step": 25068 + }, + { + "epoch": 0.88, + "learning_rate": 7.3511017047421026e-06, + "loss": 0.43, + "step": 25069 + }, + { + "epoch": 0.88, + "learning_rate": 7.3469621544794866e-06, + "loss": 0.3544, + "step": 25070 + }, + { + "epoch": 0.88, + "learning_rate": 7.342823725627468e-06, + "loss": 0.386, + "step": 25071 + }, + { + "epoch": 0.88, + "learning_rate": 7.338686418236162e-06, + "loss": 0.433, + "step": 25072 + }, + { + "epoch": 0.88, + "learning_rate": 7.33455023235563e-06, + "loss": 0.4602, + "step": 25073 + }, + { + "epoch": 0.88, + "learning_rate": 7.330415168035942e-06, + "loss": 0.4624, + "step": 25074 + }, + { + "epoch": 0.88, + "learning_rate": 7.3262812253271364e-06, + "loss": 0.4563, + "step": 25075 + }, + { + "epoch": 0.88, + "learning_rate": 7.322148404279238e-06, + "loss": 0.368, + "step": 25076 + }, + { + "epoch": 0.88, + "learning_rate": 7.318016704942298e-06, + "loss": 0.4483, + "step": 25077 + }, + { + "epoch": 0.88, + "learning_rate": 7.313886127366298e-06, + "loss": 0.4314, + "step": 25078 + }, + { + "epoch": 0.88, + "learning_rate": 7.3097566716012536e-06, + "loss": 0.4887, + "step": 25079 + }, + { + "epoch": 0.88, + "learning_rate": 7.305628337697123e-06, + "loss": 0.3947, + "step": 25080 + }, + { + "epoch": 0.88, + "learning_rate": 7.301501125703869e-06, + "loss": 0.3709, + "step": 25081 + }, + { + "epoch": 0.88, + "learning_rate": 7.297375035671472e-06, + "loss": 0.4127, + "step": 25082 + }, + { + "epoch": 0.88, + "learning_rate": 7.293250067649859e-06, + "loss": 0.4721, + "step": 25083 + }, + { + "epoch": 0.88, + "learning_rate": 7.2891262216889465e-06, + "loss": 0.4409, + "step": 25084 + }, + { + "epoch": 0.88, + "learning_rate": 7.285003497838661e-06, + "loss": 0.3837, + "step": 25085 + }, + { + "epoch": 0.88, + "learning_rate": 7.280881896148872e-06, + "loss": 0.4283, + "step": 25086 + }, + { + "epoch": 0.88, + "learning_rate": 7.2767614166695086e-06, + "loss": 0.4381, + "step": 25087 + }, + { + "epoch": 0.88, + "learning_rate": 7.272642059450419e-06, + "loss": 0.4074, + "step": 25088 + }, + { + "epoch": 0.88, + "learning_rate": 7.268523824541451e-06, + "loss": 0.4521, + "step": 25089 + }, + { + "epoch": 0.88, + "learning_rate": 7.2644067119924776e-06, + "loss": 0.3529, + "step": 25090 + }, + { + "epoch": 0.88, + "learning_rate": 7.260290721853302e-06, + "loss": 0.4431, + "step": 25091 + }, + { + "epoch": 0.88, + "learning_rate": 7.256175854173742e-06, + "loss": 0.3985, + "step": 25092 + }, + { + "epoch": 0.88, + "learning_rate": 7.252062109003621e-06, + "loss": 0.3778, + "step": 25093 + }, + { + "epoch": 0.88, + "learning_rate": 7.247949486392724e-06, + "loss": 0.4749, + "step": 25094 + }, + { + "epoch": 0.88, + "learning_rate": 7.243837986390822e-06, + "loss": 0.3701, + "step": 25095 + }, + { + "epoch": 0.88, + "learning_rate": 7.239727609047675e-06, + "loss": 0.4015, + "step": 25096 + }, + { + "epoch": 0.88, + "learning_rate": 7.235618354413021e-06, + "loss": 0.4395, + "step": 25097 + }, + { + "epoch": 0.88, + "learning_rate": 7.23151022253663e-06, + "loss": 0.4144, + "step": 25098 + }, + { + "epoch": 0.88, + "learning_rate": 7.227403213468198e-06, + "loss": 0.459, + "step": 25099 + }, + { + "epoch": 0.88, + "learning_rate": 7.22329732725745e-06, + "loss": 0.3879, + "step": 25100 + }, + { + "epoch": 0.88, + "learning_rate": 7.219192563954058e-06, + "loss": 0.376, + "step": 25101 + }, + { + "epoch": 0.88, + "learning_rate": 7.215088923607705e-06, + "loss": 0.4129, + "step": 25102 + }, + { + "epoch": 0.88, + "learning_rate": 7.2109864062680945e-06, + "loss": 0.3859, + "step": 25103 + }, + { + "epoch": 0.88, + "learning_rate": 7.206885011984843e-06, + "loss": 0.4144, + "step": 25104 + }, + { + "epoch": 0.88, + "learning_rate": 7.202784740807611e-06, + "loss": 0.4228, + "step": 25105 + }, + { + "epoch": 0.88, + "learning_rate": 7.198685592786014e-06, + "loss": 0.4161, + "step": 25106 + }, + { + "epoch": 0.88, + "learning_rate": 7.194587567969657e-06, + "loss": 0.3936, + "step": 25107 + }, + { + "epoch": 0.88, + "learning_rate": 7.190490666408167e-06, + "loss": 0.3716, + "step": 25108 + }, + { + "epoch": 0.88, + "learning_rate": 7.186394888151126e-06, + "loss": 0.5258, + "step": 25109 + }, + { + "epoch": 0.88, + "learning_rate": 7.182300233248085e-06, + "loss": 0.4374, + "step": 25110 + }, + { + "epoch": 0.88, + "learning_rate": 7.1782067017486134e-06, + "loss": 0.4026, + "step": 25111 + }, + { + "epoch": 0.88, + "learning_rate": 7.17411429370225e-06, + "loss": 0.3755, + "step": 25112 + }, + { + "epoch": 0.88, + "learning_rate": 7.170023009158544e-06, + "loss": 0.42, + "step": 25113 + }, + { + "epoch": 0.88, + "learning_rate": 7.165932848167001e-06, + "loss": 0.4222, + "step": 25114 + }, + { + "epoch": 0.88, + "learning_rate": 7.161843810777136e-06, + "loss": 0.5252, + "step": 25115 + }, + { + "epoch": 0.88, + "learning_rate": 7.1577558970384315e-06, + "loss": 0.3437, + "step": 25116 + }, + { + "epoch": 0.88, + "learning_rate": 7.1536691070003495e-06, + "loss": 0.3856, + "step": 25117 + }, + { + "epoch": 0.88, + "learning_rate": 7.149583440712382e-06, + "loss": 0.4934, + "step": 25118 + }, + { + "epoch": 0.88, + "learning_rate": 7.145498898223968e-06, + "loss": 0.4332, + "step": 25119 + }, + { + "epoch": 0.88, + "learning_rate": 7.141415479584535e-06, + "loss": 0.4083, + "step": 25120 + }, + { + "epoch": 0.88, + "learning_rate": 7.137333184843531e-06, + "loss": 0.5106, + "step": 25121 + }, + { + "epoch": 0.88, + "learning_rate": 7.133252014050318e-06, + "loss": 0.4699, + "step": 25122 + }, + { + "epoch": 0.88, + "learning_rate": 7.1291719672543444e-06, + "loss": 0.3884, + "step": 25123 + }, + { + "epoch": 0.88, + "learning_rate": 7.125093044504971e-06, + "loss": 0.3901, + "step": 25124 + }, + { + "epoch": 0.88, + "learning_rate": 7.12101524585157e-06, + "loss": 0.4287, + "step": 25125 + }, + { + "epoch": 0.88, + "learning_rate": 7.1169385713434785e-06, + "loss": 0.3912, + "step": 25126 + }, + { + "epoch": 0.88, + "learning_rate": 7.112863021030069e-06, + "loss": 0.4359, + "step": 25127 + }, + { + "epoch": 0.88, + "learning_rate": 7.108788594960625e-06, + "loss": 0.3117, + "step": 25128 + }, + { + "epoch": 0.88, + "learning_rate": 7.104715293184505e-06, + "loss": 0.358, + "step": 25129 + }, + { + "epoch": 0.88, + "learning_rate": 7.100643115750982e-06, + "loss": 0.3656, + "step": 25130 + }, + { + "epoch": 0.88, + "learning_rate": 7.096572062709373e-06, + "loss": 0.4076, + "step": 25131 + }, + { + "epoch": 0.88, + "learning_rate": 7.092502134108914e-06, + "loss": 0.4654, + "step": 25132 + }, + { + "epoch": 0.88, + "learning_rate": 7.088433329998867e-06, + "loss": 0.3952, + "step": 25133 + }, + { + "epoch": 0.88, + "learning_rate": 7.084365650428515e-06, + "loss": 0.3774, + "step": 25134 + }, + { + "epoch": 0.88, + "learning_rate": 7.080299095447074e-06, + "loss": 0.431, + "step": 25135 + }, + { + "epoch": 0.88, + "learning_rate": 7.0762336651037486e-06, + "loss": 0.4051, + "step": 25136 + }, + { + "epoch": 0.88, + "learning_rate": 7.072169359447744e-06, + "loss": 0.3872, + "step": 25137 + }, + { + "epoch": 0.88, + "learning_rate": 7.068106178528256e-06, + "loss": 0.421, + "step": 25138 + }, + { + "epoch": 0.88, + "learning_rate": 7.064044122394486e-06, + "loss": 0.4687, + "step": 25139 + }, + { + "epoch": 0.88, + "learning_rate": 7.059983191095576e-06, + "loss": 0.4571, + "step": 25140 + }, + { + "epoch": 0.88, + "learning_rate": 7.055923384680674e-06, + "loss": 0.3682, + "step": 25141 + }, + { + "epoch": 0.88, + "learning_rate": 7.05186470319893e-06, + "loss": 0.3986, + "step": 25142 + }, + { + "epoch": 0.88, + "learning_rate": 7.047807146699459e-06, + "loss": 0.4397, + "step": 25143 + }, + { + "epoch": 0.88, + "learning_rate": 7.043750715231367e-06, + "loss": 0.3646, + "step": 25144 + }, + { + "epoch": 0.88, + "learning_rate": 7.039695408843772e-06, + "loss": 0.5304, + "step": 25145 + }, + { + "epoch": 0.88, + "learning_rate": 7.035641227585732e-06, + "loss": 0.392, + "step": 25146 + }, + { + "epoch": 0.88, + "learning_rate": 7.031588171506309e-06, + "loss": 0.3758, + "step": 25147 + }, + { + "epoch": 0.88, + "learning_rate": 7.0275362406545864e-06, + "loss": 0.3705, + "step": 25148 + }, + { + "epoch": 0.88, + "learning_rate": 7.023485435079602e-06, + "loss": 0.3768, + "step": 25149 + }, + { + "epoch": 0.88, + "learning_rate": 7.019435754830373e-06, + "loss": 0.445, + "step": 25150 + }, + { + "epoch": 0.88, + "learning_rate": 7.0153871999559136e-06, + "loss": 0.3442, + "step": 25151 + }, + { + "epoch": 0.88, + "learning_rate": 7.011339770505221e-06, + "loss": 0.377, + "step": 25152 + }, + { + "epoch": 0.88, + "learning_rate": 7.007293466527298e-06, + "loss": 0.4491, + "step": 25153 + }, + { + "epoch": 0.88, + "learning_rate": 7.003248288071118e-06, + "loss": 0.3857, + "step": 25154 + }, + { + "epoch": 0.88, + "learning_rate": 6.99920423518563e-06, + "loss": 0.4978, + "step": 25155 + }, + { + "epoch": 0.88, + "learning_rate": 6.9951613079197845e-06, + "loss": 0.3901, + "step": 25156 + }, + { + "epoch": 0.88, + "learning_rate": 6.991119506322497e-06, + "loss": 0.3619, + "step": 25157 + }, + { + "epoch": 0.88, + "learning_rate": 6.987078830442717e-06, + "loss": 0.419, + "step": 25158 + }, + { + "epoch": 0.88, + "learning_rate": 6.98303928032934e-06, + "loss": 0.3676, + "step": 25159 + }, + { + "epoch": 0.88, + "learning_rate": 6.979000856031259e-06, + "loss": 0.4611, + "step": 25160 + }, + { + "epoch": 0.88, + "learning_rate": 6.974963557597347e-06, + "loss": 0.397, + "step": 25161 + }, + { + "epoch": 0.88, + "learning_rate": 6.970927385076464e-06, + "loss": 0.3576, + "step": 25162 + }, + { + "epoch": 0.88, + "learning_rate": 6.96689233851745e-06, + "loss": 0.3844, + "step": 25163 + }, + { + "epoch": 0.88, + "learning_rate": 6.962858417969187e-06, + "loss": 0.48, + "step": 25164 + }, + { + "epoch": 0.88, + "learning_rate": 6.95882562348047e-06, + "loss": 0.4288, + "step": 25165 + }, + { + "epoch": 0.88, + "learning_rate": 6.954793955100103e-06, + "loss": 0.4946, + "step": 25166 + }, + { + "epoch": 0.88, + "learning_rate": 6.950763412876893e-06, + "loss": 0.348, + "step": 25167 + }, + { + "epoch": 0.88, + "learning_rate": 6.946733996859611e-06, + "loss": 0.3984, + "step": 25168 + }, + { + "epoch": 0.88, + "learning_rate": 6.942705707097052e-06, + "loss": 0.399, + "step": 25169 + }, + { + "epoch": 0.88, + "learning_rate": 6.9386785436379445e-06, + "loss": 0.3968, + "step": 25170 + }, + { + "epoch": 0.88, + "learning_rate": 6.9346525065310585e-06, + "loss": 0.4188, + "step": 25171 + }, + { + "epoch": 0.88, + "learning_rate": 6.93062759582509e-06, + "loss": 0.4432, + "step": 25172 + }, + { + "epoch": 0.88, + "learning_rate": 6.926603811568766e-06, + "loss": 0.4333, + "step": 25173 + }, + { + "epoch": 0.88, + "learning_rate": 6.922581153810792e-06, + "loss": 0.4541, + "step": 25174 + }, + { + "epoch": 0.88, + "learning_rate": 6.918559622599874e-06, + "loss": 0.3144, + "step": 25175 + }, + { + "epoch": 0.88, + "learning_rate": 6.91453921798465e-06, + "loss": 0.4188, + "step": 25176 + }, + { + "epoch": 0.88, + "learning_rate": 6.910519940013804e-06, + "loss": 0.4527, + "step": 25177 + }, + { + "epoch": 0.88, + "learning_rate": 6.906501788735964e-06, + "loss": 0.3992, + "step": 25178 + }, + { + "epoch": 0.88, + "learning_rate": 6.90248476419979e-06, + "loss": 0.4677, + "step": 25179 + }, + { + "epoch": 0.88, + "learning_rate": 6.898468866453878e-06, + "loss": 0.374, + "step": 25180 + }, + { + "epoch": 0.88, + "learning_rate": 6.894454095546854e-06, + "loss": 0.3444, + "step": 25181 + }, + { + "epoch": 0.88, + "learning_rate": 6.890440451527291e-06, + "loss": 0.4036, + "step": 25182 + }, + { + "epoch": 0.88, + "learning_rate": 6.886427934443762e-06, + "loss": 0.3996, + "step": 25183 + }, + { + "epoch": 0.88, + "learning_rate": 6.882416544344849e-06, + "loss": 0.4041, + "step": 25184 + }, + { + "epoch": 0.88, + "learning_rate": 6.878406281279115e-06, + "loss": 0.4331, + "step": 25185 + }, + { + "epoch": 0.88, + "learning_rate": 6.874397145295075e-06, + "loss": 0.3769, + "step": 25186 + }, + { + "epoch": 0.88, + "learning_rate": 6.8703891364412575e-06, + "loss": 0.3398, + "step": 25187 + }, + { + "epoch": 0.88, + "learning_rate": 6.866382254766157e-06, + "loss": 0.3995, + "step": 25188 + }, + { + "epoch": 0.88, + "learning_rate": 6.862376500318302e-06, + "loss": 0.4205, + "step": 25189 + }, + { + "epoch": 0.88, + "learning_rate": 6.858371873146163e-06, + "loss": 0.4238, + "step": 25190 + }, + { + "epoch": 0.88, + "learning_rate": 6.854368373298214e-06, + "loss": 0.4582, + "step": 25191 + }, + { + "epoch": 0.88, + "learning_rate": 6.850366000822894e-06, + "loss": 0.435, + "step": 25192 + }, + { + "epoch": 0.88, + "learning_rate": 6.846364755768664e-06, + "loss": 0.4333, + "step": 25193 + }, + { + "epoch": 0.88, + "learning_rate": 6.842364638183918e-06, + "loss": 0.4648, + "step": 25194 + }, + { + "epoch": 0.88, + "learning_rate": 6.838365648117118e-06, + "loss": 0.4442, + "step": 25195 + }, + { + "epoch": 0.88, + "learning_rate": 6.834367785616646e-06, + "loss": 0.3347, + "step": 25196 + }, + { + "epoch": 0.88, + "learning_rate": 6.830371050730877e-06, + "loss": 0.4296, + "step": 25197 + }, + { + "epoch": 0.88, + "learning_rate": 6.826375443508204e-06, + "loss": 0.4663, + "step": 25198 + }, + { + "epoch": 0.88, + "learning_rate": 6.822380963996955e-06, + "loss": 0.374, + "step": 25199 + }, + { + "epoch": 0.88, + "learning_rate": 6.8183876122455245e-06, + "loss": 0.3898, + "step": 25200 + }, + { + "epoch": 0.88, + "eval_loss": 0.40058866143226624, + "eval_runtime": 845.477, + "eval_samples_per_second": 28.457, + "eval_steps_per_second": 14.229, + "step": 25200 + }, + { + "epoch": 0.88, + "learning_rate": 6.814395388302208e-06, + "loss": 0.4653, + "step": 25201 + }, + { + "epoch": 0.88, + "learning_rate": 6.8104042922153445e-06, + "loss": 0.3972, + "step": 25202 + }, + { + "epoch": 0.88, + "learning_rate": 6.806414324033228e-06, + "loss": 0.4011, + "step": 25203 + }, + { + "epoch": 0.88, + "learning_rate": 6.802425483804142e-06, + "loss": 0.4361, + "step": 25204 + }, + { + "epoch": 0.88, + "learning_rate": 6.798437771576394e-06, + "loss": 0.3901, + "step": 25205 + }, + { + "epoch": 0.88, + "learning_rate": 6.794451187398232e-06, + "loss": 0.5281, + "step": 25206 + }, + { + "epoch": 0.88, + "learning_rate": 6.7904657313178965e-06, + "loss": 0.3537, + "step": 25207 + }, + { + "epoch": 0.88, + "learning_rate": 6.786481403383649e-06, + "loss": 0.385, + "step": 25208 + }, + { + "epoch": 0.88, + "learning_rate": 6.782498203643672e-06, + "loss": 0.4244, + "step": 25209 + }, + { + "epoch": 0.88, + "learning_rate": 6.7785161321462284e-06, + "loss": 0.4022, + "step": 25210 + }, + { + "epoch": 0.88, + "learning_rate": 6.774535188939479e-06, + "loss": 0.3818, + "step": 25211 + }, + { + "epoch": 0.88, + "learning_rate": 6.7705553740716185e-06, + "loss": 0.4967, + "step": 25212 + }, + { + "epoch": 0.88, + "learning_rate": 6.76657668759082e-06, + "loss": 0.3576, + "step": 25213 + }, + { + "epoch": 0.88, + "learning_rate": 6.7625991295452105e-06, + "loss": 0.3856, + "step": 25214 + }, + { + "epoch": 0.88, + "learning_rate": 6.758622699982975e-06, + "loss": 0.3915, + "step": 25215 + }, + { + "epoch": 0.88, + "learning_rate": 6.754647398952218e-06, + "loss": 0.415, + "step": 25216 + }, + { + "epoch": 0.88, + "learning_rate": 6.750673226501059e-06, + "loss": 0.4128, + "step": 25217 + }, + { + "epoch": 0.88, + "learning_rate": 6.74670018267759e-06, + "loss": 0.4689, + "step": 25218 + }, + { + "epoch": 0.88, + "learning_rate": 6.742728267529885e-06, + "loss": 0.3626, + "step": 25219 + }, + { + "epoch": 0.88, + "learning_rate": 6.738757481106061e-06, + "loss": 0.4386, + "step": 25220 + }, + { + "epoch": 0.88, + "learning_rate": 6.734787823454148e-06, + "loss": 0.3863, + "step": 25221 + }, + { + "epoch": 0.88, + "learning_rate": 6.730819294622204e-06, + "loss": 0.4098, + "step": 25222 + }, + { + "epoch": 0.88, + "learning_rate": 6.726851894658248e-06, + "loss": 0.4369, + "step": 25223 + }, + { + "epoch": 0.88, + "learning_rate": 6.722885623610287e-06, + "loss": 0.3665, + "step": 25224 + }, + { + "epoch": 0.88, + "learning_rate": 6.718920481526369e-06, + "loss": 0.4559, + "step": 25225 + }, + { + "epoch": 0.88, + "learning_rate": 6.714956468454459e-06, + "loss": 0.4169, + "step": 25226 + }, + { + "epoch": 0.88, + "learning_rate": 6.710993584442538e-06, + "loss": 0.4845, + "step": 25227 + }, + { + "epoch": 0.88, + "learning_rate": 6.707031829538557e-06, + "loss": 0.4123, + "step": 25228 + }, + { + "epoch": 0.88, + "learning_rate": 6.703071203790489e-06, + "loss": 0.4051, + "step": 25229 + }, + { + "epoch": 0.88, + "learning_rate": 6.699111707246242e-06, + "loss": 0.4398, + "step": 25230 + }, + { + "epoch": 0.88, + "learning_rate": 6.6951533399537745e-06, + "loss": 0.436, + "step": 25231 + }, + { + "epoch": 0.88, + "learning_rate": 6.691196101960973e-06, + "loss": 0.4068, + "step": 25232 + }, + { + "epoch": 0.88, + "learning_rate": 6.6872399933157415e-06, + "loss": 0.4378, + "step": 25233 + }, + { + "epoch": 0.88, + "learning_rate": 6.683285014065965e-06, + "loss": 0.4548, + "step": 25234 + }, + { + "epoch": 0.88, + "learning_rate": 6.679331164259483e-06, + "loss": 0.4847, + "step": 25235 + }, + { + "epoch": 0.88, + "learning_rate": 6.675378443944202e-06, + "loss": 0.378, + "step": 25236 + }, + { + "epoch": 0.88, + "learning_rate": 6.671426853167917e-06, + "loss": 0.3669, + "step": 25237 + }, + { + "epoch": 0.88, + "learning_rate": 6.667476391978489e-06, + "loss": 0.3747, + "step": 25238 + }, + { + "epoch": 0.88, + "learning_rate": 6.663527060423702e-06, + "loss": 0.3854, + "step": 25239 + }, + { + "epoch": 0.88, + "learning_rate": 6.659578858551363e-06, + "loss": 0.4273, + "step": 25240 + }, + { + "epoch": 0.88, + "learning_rate": 6.655631786409278e-06, + "loss": 0.4034, + "step": 25241 + }, + { + "epoch": 0.88, + "learning_rate": 6.651685844045208e-06, + "loss": 0.3641, + "step": 25242 + }, + { + "epoch": 0.88, + "learning_rate": 6.6477410315069155e-06, + "loss": 0.4322, + "step": 25243 + }, + { + "epoch": 0.88, + "learning_rate": 6.64379734884214e-06, + "loss": 0.4452, + "step": 25244 + }, + { + "epoch": 0.88, + "learning_rate": 6.639854796098599e-06, + "loss": 0.4427, + "step": 25245 + }, + { + "epoch": 0.88, + "learning_rate": 6.635913373324032e-06, + "loss": 0.3467, + "step": 25246 + }, + { + "epoch": 0.88, + "learning_rate": 6.631973080566145e-06, + "loss": 0.5035, + "step": 25247 + }, + { + "epoch": 0.88, + "learning_rate": 6.628033917872623e-06, + "loss": 0.3406, + "step": 25248 + }, + { + "epoch": 0.88, + "learning_rate": 6.624095885291148e-06, + "loss": 0.406, + "step": 25249 + }, + { + "epoch": 0.88, + "learning_rate": 6.620158982869351e-06, + "loss": 0.4472, + "step": 25250 + }, + { + "epoch": 0.88, + "learning_rate": 6.616223210654926e-06, + "loss": 0.3568, + "step": 25251 + }, + { + "epoch": 0.88, + "learning_rate": 6.6122885686954905e-06, + "loss": 0.4213, + "step": 25252 + }, + { + "epoch": 0.88, + "learning_rate": 6.608355057038662e-06, + "loss": 0.3943, + "step": 25253 + }, + { + "epoch": 0.88, + "learning_rate": 6.604422675732058e-06, + "loss": 0.4637, + "step": 25254 + }, + { + "epoch": 0.88, + "learning_rate": 6.600491424823252e-06, + "loss": 0.3836, + "step": 25255 + }, + { + "epoch": 0.88, + "learning_rate": 6.596561304359861e-06, + "loss": 0.4302, + "step": 25256 + }, + { + "epoch": 0.88, + "learning_rate": 6.592632314389436e-06, + "loss": 0.3627, + "step": 25257 + }, + { + "epoch": 0.88, + "learning_rate": 6.588704454959527e-06, + "loss": 0.4246, + "step": 25258 + }, + { + "epoch": 0.88, + "learning_rate": 6.584777726117664e-06, + "loss": 0.4038, + "step": 25259 + }, + { + "epoch": 0.88, + "learning_rate": 6.580852127911397e-06, + "loss": 0.3723, + "step": 25260 + }, + { + "epoch": 0.88, + "learning_rate": 6.57692766038821e-06, + "loss": 0.5283, + "step": 25261 + }, + { + "epoch": 0.88, + "learning_rate": 6.573004323595633e-06, + "loss": 0.3975, + "step": 25262 + }, + { + "epoch": 0.88, + "learning_rate": 6.569082117581149e-06, + "loss": 0.4871, + "step": 25263 + }, + { + "epoch": 0.88, + "learning_rate": 6.5651610423922095e-06, + "loss": 0.4526, + "step": 25264 + }, + { + "epoch": 0.88, + "learning_rate": 6.561241098076276e-06, + "loss": 0.4154, + "step": 25265 + }, + { + "epoch": 0.88, + "learning_rate": 6.557322284680789e-06, + "loss": 0.4495, + "step": 25266 + }, + { + "epoch": 0.88, + "learning_rate": 6.5534046022532105e-06, + "loss": 0.411, + "step": 25267 + }, + { + "epoch": 0.88, + "learning_rate": 6.549488050840924e-06, + "loss": 0.3449, + "step": 25268 + }, + { + "epoch": 0.88, + "learning_rate": 6.545572630491348e-06, + "loss": 0.4649, + "step": 25269 + }, + { + "epoch": 0.88, + "learning_rate": 6.541658341251877e-06, + "loss": 0.3874, + "step": 25270 + }, + { + "epoch": 0.88, + "learning_rate": 6.537745183169852e-06, + "loss": 0.3774, + "step": 25271 + }, + { + "epoch": 0.88, + "learning_rate": 6.533833156292679e-06, + "loss": 0.4119, + "step": 25272 + }, + { + "epoch": 0.88, + "learning_rate": 6.529922260667698e-06, + "loss": 0.553, + "step": 25273 + }, + { + "epoch": 0.88, + "learning_rate": 6.526012496342226e-06, + "loss": 0.4553, + "step": 25274 + }, + { + "epoch": 0.88, + "learning_rate": 6.522103863363604e-06, + "loss": 0.4546, + "step": 25275 + }, + { + "epoch": 0.88, + "learning_rate": 6.5181963617791275e-06, + "loss": 0.5348, + "step": 25276 + }, + { + "epoch": 0.88, + "learning_rate": 6.51428999163608e-06, + "loss": 0.4192, + "step": 25277 + }, + { + "epoch": 0.88, + "learning_rate": 6.510384752981769e-06, + "loss": 0.4311, + "step": 25278 + }, + { + "epoch": 0.88, + "learning_rate": 6.5064806458634335e-06, + "loss": 0.3849, + "step": 25279 + }, + { + "epoch": 0.88, + "learning_rate": 6.502577670328325e-06, + "loss": 0.3262, + "step": 25280 + }, + { + "epoch": 0.88, + "learning_rate": 6.498675826423717e-06, + "loss": 0.3927, + "step": 25281 + }, + { + "epoch": 0.88, + "learning_rate": 6.494775114196816e-06, + "loss": 0.4938, + "step": 25282 + }, + { + "epoch": 0.88, + "learning_rate": 6.490875533694818e-06, + "loss": 0.3779, + "step": 25283 + }, + { + "epoch": 0.88, + "learning_rate": 6.48697708496494e-06, + "loss": 0.4275, + "step": 25284 + }, + { + "epoch": 0.88, + "learning_rate": 6.483079768054346e-06, + "loss": 0.3958, + "step": 25285 + }, + { + "epoch": 0.88, + "learning_rate": 6.47918358301024e-06, + "loss": 0.5076, + "step": 25286 + }, + { + "epoch": 0.88, + "learning_rate": 6.475288529879753e-06, + "loss": 0.3777, + "step": 25287 + }, + { + "epoch": 0.88, + "learning_rate": 6.471394608710035e-06, + "loss": 0.3847, + "step": 25288 + }, + { + "epoch": 0.88, + "learning_rate": 6.467501819548216e-06, + "loss": 0.5072, + "step": 25289 + }, + { + "epoch": 0.88, + "learning_rate": 6.463610162441403e-06, + "loss": 0.3728, + "step": 25290 + }, + { + "epoch": 0.89, + "learning_rate": 6.459719637436712e-06, + "loss": 0.4455, + "step": 25291 + }, + { + "epoch": 0.89, + "learning_rate": 6.455830244581229e-06, + "loss": 0.3998, + "step": 25292 + }, + { + "epoch": 0.89, + "learning_rate": 6.451941983922027e-06, + "loss": 0.4661, + "step": 25293 + }, + { + "epoch": 0.89, + "learning_rate": 6.4480548555061585e-06, + "loss": 0.3789, + "step": 25294 + }, + { + "epoch": 0.89, + "learning_rate": 6.4441688593806836e-06, + "loss": 0.3942, + "step": 25295 + }, + { + "epoch": 0.89, + "learning_rate": 6.440283995592611e-06, + "loss": 0.3682, + "step": 25296 + }, + { + "epoch": 0.89, + "learning_rate": 6.436400264188991e-06, + "loss": 0.3429, + "step": 25297 + }, + { + "epoch": 0.89, + "learning_rate": 6.43251766521682e-06, + "loss": 0.4358, + "step": 25298 + }, + { + "epoch": 0.89, + "learning_rate": 6.4286361987230925e-06, + "loss": 0.3639, + "step": 25299 + }, + { + "epoch": 0.89, + "learning_rate": 6.424755864754772e-06, + "loss": 0.3787, + "step": 25300 + }, + { + "epoch": 0.89, + "learning_rate": 6.420876663358832e-06, + "loss": 0.3763, + "step": 25301 + }, + { + "epoch": 0.89, + "learning_rate": 6.4169985945822355e-06, + "loss": 0.3207, + "step": 25302 + }, + { + "epoch": 0.89, + "learning_rate": 6.413121658471899e-06, + "loss": 0.4506, + "step": 25303 + }, + { + "epoch": 0.89, + "learning_rate": 6.409245855074775e-06, + "loss": 0.35, + "step": 25304 + }, + { + "epoch": 0.89, + "learning_rate": 6.405371184437748e-06, + "loss": 0.3977, + "step": 25305 + }, + { + "epoch": 0.89, + "learning_rate": 6.401497646607702e-06, + "loss": 0.4463, + "step": 25306 + }, + { + "epoch": 0.89, + "learning_rate": 6.397625241631566e-06, + "loss": 0.4282, + "step": 25307 + }, + { + "epoch": 0.89, + "learning_rate": 6.393753969556182e-06, + "loss": 0.4052, + "step": 25308 + }, + { + "epoch": 0.89, + "learning_rate": 6.3898838304284e-06, + "loss": 0.3742, + "step": 25309 + }, + { + "epoch": 0.89, + "learning_rate": 6.386014824295072e-06, + "loss": 0.4325, + "step": 25310 + }, + { + "epoch": 0.89, + "learning_rate": 6.382146951203005e-06, + "loss": 0.4666, + "step": 25311 + }, + { + "epoch": 0.89, + "learning_rate": 6.37828021119905e-06, + "loss": 0.4574, + "step": 25312 + }, + { + "epoch": 0.89, + "learning_rate": 6.3744146043299815e-06, + "loss": 0.4633, + "step": 25313 + }, + { + "epoch": 0.89, + "learning_rate": 6.370550130642594e-06, + "loss": 0.354, + "step": 25314 + }, + { + "epoch": 0.89, + "learning_rate": 6.366686790183662e-06, + "loss": 0.3831, + "step": 25315 + }, + { + "epoch": 0.89, + "learning_rate": 6.3628245829999265e-06, + "loss": 0.4092, + "step": 25316 + }, + { + "epoch": 0.89, + "learning_rate": 6.3589635091381605e-06, + "loss": 0.4352, + "step": 25317 + }, + { + "epoch": 0.89, + "learning_rate": 6.355103568645093e-06, + "loss": 0.4218, + "step": 25318 + }, + { + "epoch": 0.89, + "learning_rate": 6.351244761567421e-06, + "loss": 0.3864, + "step": 25319 + }, + { + "epoch": 0.89, + "learning_rate": 6.347387087951862e-06, + "loss": 0.4055, + "step": 25320 + }, + { + "epoch": 0.89, + "learning_rate": 6.3435305478451e-06, + "loss": 0.4143, + "step": 25321 + }, + { + "epoch": 0.89, + "learning_rate": 6.339675141293821e-06, + "loss": 0.4447, + "step": 25322 + }, + { + "epoch": 0.89, + "learning_rate": 6.3358208683446885e-06, + "loss": 0.4245, + "step": 25323 + }, + { + "epoch": 0.89, + "learning_rate": 6.331967729044352e-06, + "loss": 0.3586, + "step": 25324 + }, + { + "epoch": 0.89, + "learning_rate": 6.328115723439443e-06, + "loss": 0.4244, + "step": 25325 + }, + { + "epoch": 0.89, + "learning_rate": 6.324264851576567e-06, + "loss": 0.4124, + "step": 25326 + }, + { + "epoch": 0.89, + "learning_rate": 6.320415113502365e-06, + "loss": 0.3897, + "step": 25327 + }, + { + "epoch": 0.89, + "learning_rate": 6.3165665092634215e-06, + "loss": 0.3164, + "step": 25328 + }, + { + "epoch": 0.89, + "learning_rate": 6.312719038906312e-06, + "loss": 0.4178, + "step": 25329 + }, + { + "epoch": 0.89, + "learning_rate": 6.308872702477597e-06, + "loss": 0.3982, + "step": 25330 + }, + { + "epoch": 0.89, + "learning_rate": 6.3050275000238414e-06, + "loss": 0.3321, + "step": 25331 + }, + { + "epoch": 0.89, + "learning_rate": 6.3011834315915615e-06, + "loss": 0.4369, + "step": 25332 + }, + { + "epoch": 0.89, + "learning_rate": 6.297340497227322e-06, + "loss": 0.4361, + "step": 25333 + }, + { + "epoch": 0.89, + "learning_rate": 6.293498696977607e-06, + "loss": 0.3891, + "step": 25334 + }, + { + "epoch": 0.89, + "learning_rate": 6.2896580308889345e-06, + "loss": 0.3741, + "step": 25335 + }, + { + "epoch": 0.89, + "learning_rate": 6.285818499007779e-06, + "loss": 0.3696, + "step": 25336 + }, + { + "epoch": 0.89, + "learning_rate": 6.281980101380591e-06, + "loss": 0.438, + "step": 25337 + }, + { + "epoch": 0.89, + "learning_rate": 6.2781428380538576e-06, + "loss": 0.3403, + "step": 25338 + }, + { + "epoch": 0.89, + "learning_rate": 6.274306709074018e-06, + "loss": 0.4804, + "step": 25339 + }, + { + "epoch": 0.89, + "learning_rate": 6.270471714487502e-06, + "loss": 0.4571, + "step": 25340 + }, + { + "epoch": 0.89, + "learning_rate": 6.266637854340718e-06, + "loss": 0.4498, + "step": 25341 + }, + { + "epoch": 0.89, + "learning_rate": 6.262805128680049e-06, + "loss": 0.4175, + "step": 25342 + }, + { + "epoch": 0.89, + "learning_rate": 6.258973537551937e-06, + "loss": 0.3645, + "step": 25343 + }, + { + "epoch": 0.89, + "learning_rate": 6.2551430810027126e-06, + "loss": 0.4437, + "step": 25344 + }, + { + "epoch": 0.89, + "learning_rate": 6.251313759078758e-06, + "loss": 0.4682, + "step": 25345 + }, + { + "epoch": 0.89, + "learning_rate": 6.247485571826406e-06, + "loss": 0.4646, + "step": 25346 + }, + { + "epoch": 0.89, + "learning_rate": 6.243658519291984e-06, + "loss": 0.4347, + "step": 25347 + }, + { + "epoch": 0.89, + "learning_rate": 6.239832601521844e-06, + "loss": 0.4177, + "step": 25348 + }, + { + "epoch": 0.89, + "learning_rate": 6.236007818562284e-06, + "loss": 0.3507, + "step": 25349 + }, + { + "epoch": 0.89, + "learning_rate": 6.2321841704595766e-06, + "loss": 0.3961, + "step": 25350 + }, + { + "epoch": 0.89, + "learning_rate": 6.228361657260007e-06, + "loss": 0.3614, + "step": 25351 + }, + { + "epoch": 0.89, + "learning_rate": 6.224540279009839e-06, + "loss": 0.4514, + "step": 25352 + }, + { + "epoch": 0.89, + "learning_rate": 6.220720035755334e-06, + "loss": 0.3164, + "step": 25353 + }, + { + "epoch": 0.89, + "learning_rate": 6.216900927542735e-06, + "loss": 0.4225, + "step": 25354 + }, + { + "epoch": 0.89, + "learning_rate": 6.2130829544182476e-06, + "loss": 0.3767, + "step": 25355 + }, + { + "epoch": 0.89, + "learning_rate": 6.209266116428103e-06, + "loss": 0.4042, + "step": 25356 + }, + { + "epoch": 0.89, + "learning_rate": 6.205450413618463e-06, + "loss": 0.4243, + "step": 25357 + }, + { + "epoch": 0.89, + "learning_rate": 6.201635846035536e-06, + "loss": 0.4594, + "step": 25358 + }, + { + "epoch": 0.89, + "learning_rate": 6.197822413725507e-06, + "loss": 0.3765, + "step": 25359 + }, + { + "epoch": 0.89, + "learning_rate": 6.194010116734495e-06, + "loss": 0.4064, + "step": 25360 + }, + { + "epoch": 0.89, + "learning_rate": 6.190198955108673e-06, + "loss": 0.3569, + "step": 25361 + }, + { + "epoch": 0.89, + "learning_rate": 6.186388928894149e-06, + "loss": 0.3852, + "step": 25362 + }, + { + "epoch": 0.89, + "learning_rate": 6.18258003813702e-06, + "loss": 0.4409, + "step": 25363 + }, + { + "epoch": 0.89, + "learning_rate": 6.1787722828834275e-06, + "loss": 0.4282, + "step": 25364 + }, + { + "epoch": 0.89, + "learning_rate": 6.174965663179433e-06, + "loss": 0.4221, + "step": 25365 + }, + { + "epoch": 0.89, + "learning_rate": 6.171160179071123e-06, + "loss": 0.419, + "step": 25366 + }, + { + "epoch": 0.89, + "learning_rate": 6.167355830604549e-06, + "loss": 0.4584, + "step": 25367 + }, + { + "epoch": 0.89, + "learning_rate": 6.163552617825741e-06, + "loss": 0.372, + "step": 25368 + }, + { + "epoch": 0.89, + "learning_rate": 6.159750540780751e-06, + "loss": 0.3807, + "step": 25369 + }, + { + "epoch": 0.89, + "learning_rate": 6.155949599515598e-06, + "loss": 0.3763, + "step": 25370 + }, + { + "epoch": 0.89, + "learning_rate": 6.15214979407629e-06, + "loss": 0.3903, + "step": 25371 + }, + { + "epoch": 0.89, + "learning_rate": 6.1483511245087886e-06, + "loss": 0.426, + "step": 25372 + }, + { + "epoch": 0.89, + "learning_rate": 6.144553590859081e-06, + "loss": 0.4305, + "step": 25373 + }, + { + "epoch": 0.89, + "learning_rate": 6.140757193173152e-06, + "loss": 0.4412, + "step": 25374 + }, + { + "epoch": 0.89, + "learning_rate": 6.136961931496943e-06, + "loss": 0.4263, + "step": 25375 + }, + { + "epoch": 0.89, + "learning_rate": 6.133167805876372e-06, + "loss": 0.5039, + "step": 25376 + }, + { + "epoch": 0.89, + "learning_rate": 6.129374816357369e-06, + "loss": 0.3571, + "step": 25377 + }, + { + "epoch": 0.89, + "learning_rate": 6.125582962985843e-06, + "loss": 0.4595, + "step": 25378 + }, + { + "epoch": 0.89, + "learning_rate": 6.121792245807689e-06, + "loss": 0.4004, + "step": 25379 + }, + { + "epoch": 0.89, + "learning_rate": 6.118002664868794e-06, + "loss": 0.4231, + "step": 25380 + }, + { + "epoch": 0.89, + "learning_rate": 6.1142142202150195e-06, + "loss": 0.3818, + "step": 25381 + }, + { + "epoch": 0.89, + "learning_rate": 6.1104269118922085e-06, + "loss": 0.3887, + "step": 25382 + }, + { + "epoch": 0.89, + "learning_rate": 6.106640739946201e-06, + "loss": 0.3998, + "step": 25383 + }, + { + "epoch": 0.89, + "learning_rate": 6.102855704422839e-06, + "loss": 0.3654, + "step": 25384 + }, + { + "epoch": 0.89, + "learning_rate": 6.099071805367929e-06, + "loss": 0.4491, + "step": 25385 + }, + { + "epoch": 0.89, + "learning_rate": 6.095289042827268e-06, + "loss": 0.376, + "step": 25386 + }, + { + "epoch": 0.89, + "learning_rate": 6.091507416846631e-06, + "loss": 0.4245, + "step": 25387 + }, + { + "epoch": 0.89, + "learning_rate": 6.08772692747177e-06, + "loss": 0.4646, + "step": 25388 + }, + { + "epoch": 0.89, + "learning_rate": 6.0839475747484945e-06, + "loss": 0.3901, + "step": 25389 + }, + { + "epoch": 0.89, + "learning_rate": 6.08016935872251e-06, + "loss": 0.3843, + "step": 25390 + }, + { + "epoch": 0.89, + "learning_rate": 6.076392279439558e-06, + "loss": 0.4417, + "step": 25391 + }, + { + "epoch": 0.89, + "learning_rate": 6.072616336945347e-06, + "loss": 0.4979, + "step": 25392 + }, + { + "epoch": 0.89, + "learning_rate": 6.068841531285574e-06, + "loss": 0.3417, + "step": 25393 + }, + { + "epoch": 0.89, + "learning_rate": 6.065067862505925e-06, + "loss": 0.4594, + "step": 25394 + }, + { + "epoch": 0.89, + "learning_rate": 6.061295330652095e-06, + "loss": 0.4393, + "step": 25395 + }, + { + "epoch": 0.89, + "learning_rate": 6.057523935769738e-06, + "loss": 0.4895, + "step": 25396 + }, + { + "epoch": 0.89, + "learning_rate": 6.053753677904484e-06, + "loss": 0.4081, + "step": 25397 + }, + { + "epoch": 0.89, + "learning_rate": 6.049984557101984e-06, + "loss": 0.5156, + "step": 25398 + }, + { + "epoch": 0.89, + "learning_rate": 6.046216573407826e-06, + "loss": 0.4317, + "step": 25399 + }, + { + "epoch": 0.89, + "learning_rate": 6.042449726867661e-06, + "loss": 0.4235, + "step": 25400 + }, + { + "epoch": 0.89, + "eval_loss": 0.3999830186367035, + "eval_runtime": 854.0011, + "eval_samples_per_second": 28.173, + "eval_steps_per_second": 14.087, + "step": 25400 + }, + { + "epoch": 0.89, + "learning_rate": 6.038684017527052e-06, + "loss": 0.3954, + "step": 25401 + }, + { + "epoch": 0.89, + "learning_rate": 6.034919445431575e-06, + "loss": 0.3378, + "step": 25402 + }, + { + "epoch": 0.89, + "learning_rate": 6.031156010626815e-06, + "loss": 0.4704, + "step": 25403 + }, + { + "epoch": 0.89, + "learning_rate": 6.0273937131582804e-06, + "loss": 0.3616, + "step": 25404 + }, + { + "epoch": 0.89, + "learning_rate": 6.0236325530715565e-06, + "loss": 0.4178, + "step": 25405 + }, + { + "epoch": 0.89, + "learning_rate": 6.019872530412141e-06, + "loss": 0.3775, + "step": 25406 + }, + { + "epoch": 0.89, + "learning_rate": 6.0161136452255515e-06, + "loss": 0.3443, + "step": 25407 + }, + { + "epoch": 0.89, + "learning_rate": 6.0123558975572645e-06, + "loss": 0.3732, + "step": 25408 + }, + { + "epoch": 0.89, + "learning_rate": 6.008599287452776e-06, + "loss": 0.4008, + "step": 25409 + }, + { + "epoch": 0.89, + "learning_rate": 6.004843814957562e-06, + "loss": 0.4525, + "step": 25410 + }, + { + "epoch": 0.89, + "learning_rate": 6.001089480117073e-06, + "loss": 0.3706, + "step": 25411 + }, + { + "epoch": 0.89, + "learning_rate": 5.997336282976728e-06, + "loss": 0.4359, + "step": 25412 + }, + { + "epoch": 0.89, + "learning_rate": 5.9935842235819605e-06, + "loss": 0.4753, + "step": 25413 + }, + { + "epoch": 0.89, + "learning_rate": 5.989833301978198e-06, + "loss": 0.4392, + "step": 25414 + }, + { + "epoch": 0.89, + "learning_rate": 5.986083518210839e-06, + "loss": 0.409, + "step": 25415 + }, + { + "epoch": 0.89, + "learning_rate": 5.982334872325246e-06, + "loss": 0.5522, + "step": 25416 + }, + { + "epoch": 0.89, + "learning_rate": 5.978587364366817e-06, + "loss": 0.3451, + "step": 25417 + }, + { + "epoch": 0.89, + "learning_rate": 5.97484099438087e-06, + "loss": 0.3717, + "step": 25418 + }, + { + "epoch": 0.89, + "learning_rate": 5.971095762412804e-06, + "loss": 0.3677, + "step": 25419 + }, + { + "epoch": 0.89, + "learning_rate": 5.967351668507914e-06, + "loss": 0.4029, + "step": 25420 + }, + { + "epoch": 0.89, + "learning_rate": 5.9636087127115214e-06, + "loss": 0.3539, + "step": 25421 + }, + { + "epoch": 0.89, + "learning_rate": 5.9598668950689216e-06, + "loss": 0.4256, + "step": 25422 + }, + { + "epoch": 0.89, + "learning_rate": 5.956126215625401e-06, + "loss": 0.3796, + "step": 25423 + }, + { + "epoch": 0.89, + "learning_rate": 5.952386674426269e-06, + "loss": 0.416, + "step": 25424 + }, + { + "epoch": 0.89, + "learning_rate": 5.948648271516744e-06, + "loss": 0.4346, + "step": 25425 + }, + { + "epoch": 0.89, + "learning_rate": 5.9449110069421e-06, + "loss": 0.429, + "step": 25426 + }, + { + "epoch": 0.89, + "learning_rate": 5.941174880747558e-06, + "loss": 0.3841, + "step": 25427 + }, + { + "epoch": 0.89, + "learning_rate": 5.937439892978325e-06, + "loss": 0.3639, + "step": 25428 + }, + { + "epoch": 0.89, + "learning_rate": 5.933706043679644e-06, + "loss": 0.4132, + "step": 25429 + }, + { + "epoch": 0.89, + "learning_rate": 5.929973332896677e-06, + "loss": 0.4297, + "step": 25430 + }, + { + "epoch": 0.89, + "learning_rate": 5.926241760674611e-06, + "loss": 0.4111, + "step": 25431 + }, + { + "epoch": 0.89, + "learning_rate": 5.922511327058611e-06, + "loss": 0.4333, + "step": 25432 + }, + { + "epoch": 0.89, + "learning_rate": 5.918782032093828e-06, + "loss": 0.4438, + "step": 25433 + }, + { + "epoch": 0.89, + "learning_rate": 5.915053875825383e-06, + "loss": 0.4413, + "step": 25434 + }, + { + "epoch": 0.89, + "learning_rate": 5.911326858298427e-06, + "loss": 0.4057, + "step": 25435 + }, + { + "epoch": 0.89, + "learning_rate": 5.907600979558059e-06, + "loss": 0.459, + "step": 25436 + }, + { + "epoch": 0.89, + "learning_rate": 5.9038762396493755e-06, + "loss": 0.4213, + "step": 25437 + }, + { + "epoch": 0.89, + "learning_rate": 5.90015263861744e-06, + "loss": 0.4477, + "step": 25438 + }, + { + "epoch": 0.89, + "learning_rate": 5.896430176507328e-06, + "loss": 0.3936, + "step": 25439 + }, + { + "epoch": 0.89, + "learning_rate": 5.892708853364115e-06, + "loss": 0.3861, + "step": 25440 + }, + { + "epoch": 0.89, + "learning_rate": 5.888988669232831e-06, + "loss": 0.4102, + "step": 25441 + }, + { + "epoch": 0.89, + "learning_rate": 5.885269624158496e-06, + "loss": 0.3772, + "step": 25442 + }, + { + "epoch": 0.89, + "learning_rate": 5.881551718186118e-06, + "loss": 0.3862, + "step": 25443 + }, + { + "epoch": 0.89, + "learning_rate": 5.877834951360695e-06, + "loss": 0.3834, + "step": 25444 + }, + { + "epoch": 0.89, + "learning_rate": 5.874119323727234e-06, + "loss": 0.4828, + "step": 25445 + }, + { + "epoch": 0.89, + "learning_rate": 5.87040483533069e-06, + "loss": 0.3932, + "step": 25446 + }, + { + "epoch": 0.89, + "learning_rate": 5.866691486216036e-06, + "loss": 0.4933, + "step": 25447 + }, + { + "epoch": 0.89, + "learning_rate": 5.862979276428193e-06, + "loss": 0.4191, + "step": 25448 + }, + { + "epoch": 0.89, + "learning_rate": 5.8592682060120914e-06, + "loss": 0.3919, + "step": 25449 + }, + { + "epoch": 0.89, + "learning_rate": 5.855558275012662e-06, + "loss": 0.4166, + "step": 25450 + }, + { + "epoch": 0.89, + "learning_rate": 5.851849483474814e-06, + "loss": 0.4198, + "step": 25451 + }, + { + "epoch": 0.89, + "learning_rate": 5.8481418314434215e-06, + "loss": 0.4802, + "step": 25452 + }, + { + "epoch": 0.89, + "learning_rate": 5.84443531896337e-06, + "loss": 0.4076, + "step": 25453 + }, + { + "epoch": 0.89, + "learning_rate": 5.840729946079493e-06, + "loss": 0.345, + "step": 25454 + }, + { + "epoch": 0.89, + "learning_rate": 5.837025712836675e-06, + "loss": 0.431, + "step": 25455 + }, + { + "epoch": 0.89, + "learning_rate": 5.833322619279735e-06, + "loss": 0.4098, + "step": 25456 + }, + { + "epoch": 0.89, + "learning_rate": 5.829620665453484e-06, + "loss": 0.3614, + "step": 25457 + }, + { + "epoch": 0.89, + "learning_rate": 5.825919851402739e-06, + "loss": 0.3892, + "step": 25458 + }, + { + "epoch": 0.89, + "learning_rate": 5.822220177172277e-06, + "loss": 0.3663, + "step": 25459 + }, + { + "epoch": 0.89, + "learning_rate": 5.818521642806895e-06, + "loss": 0.4322, + "step": 25460 + }, + { + "epoch": 0.89, + "learning_rate": 5.814824248351358e-06, + "loss": 0.3769, + "step": 25461 + }, + { + "epoch": 0.89, + "learning_rate": 5.811127993850407e-06, + "loss": 0.4417, + "step": 25462 + }, + { + "epoch": 0.89, + "learning_rate": 5.8074328793487845e-06, + "loss": 0.3651, + "step": 25463 + }, + { + "epoch": 0.89, + "learning_rate": 5.80373890489121e-06, + "loss": 0.3873, + "step": 25464 + }, + { + "epoch": 0.89, + "learning_rate": 5.8000460705223694e-06, + "loss": 0.4112, + "step": 25465 + }, + { + "epoch": 0.89, + "learning_rate": 5.796354376287005e-06, + "loss": 0.4615, + "step": 25466 + }, + { + "epoch": 0.89, + "learning_rate": 5.792663822229771e-06, + "loss": 0.4131, + "step": 25467 + }, + { + "epoch": 0.89, + "learning_rate": 5.788974408395354e-06, + "loss": 0.4216, + "step": 25468 + }, + { + "epoch": 0.89, + "learning_rate": 5.785286134828382e-06, + "loss": 0.4323, + "step": 25469 + }, + { + "epoch": 0.89, + "learning_rate": 5.78159900157349e-06, + "loss": 0.4291, + "step": 25470 + }, + { + "epoch": 0.89, + "learning_rate": 5.777913008675339e-06, + "loss": 0.4745, + "step": 25471 + }, + { + "epoch": 0.89, + "learning_rate": 5.77422815617853e-06, + "loss": 0.4611, + "step": 25472 + }, + { + "epoch": 0.89, + "learning_rate": 5.770544444127657e-06, + "loss": 0.4304, + "step": 25473 + }, + { + "epoch": 0.89, + "learning_rate": 5.766861872567297e-06, + "loss": 0.4539, + "step": 25474 + }, + { + "epoch": 0.89, + "learning_rate": 5.763180441542026e-06, + "loss": 0.3359, + "step": 25475 + }, + { + "epoch": 0.89, + "learning_rate": 5.759500151096419e-06, + "loss": 0.4312, + "step": 25476 + }, + { + "epoch": 0.89, + "learning_rate": 5.755821001274997e-06, + "loss": 0.425, + "step": 25477 + }, + { + "epoch": 0.89, + "learning_rate": 5.752142992122311e-06, + "loss": 0.3673, + "step": 25478 + }, + { + "epoch": 0.89, + "learning_rate": 5.748466123682861e-06, + "loss": 0.4746, + "step": 25479 + }, + { + "epoch": 0.89, + "learning_rate": 5.7447903960011316e-06, + "loss": 0.3561, + "step": 25480 + }, + { + "epoch": 0.89, + "learning_rate": 5.741115809121655e-06, + "loss": 0.3975, + "step": 25481 + }, + { + "epoch": 0.89, + "learning_rate": 5.737442363088885e-06, + "loss": 0.4429, + "step": 25482 + }, + { + "epoch": 0.89, + "learning_rate": 5.733770057947274e-06, + "loss": 0.4167, + "step": 25483 + }, + { + "epoch": 0.89, + "learning_rate": 5.730098893741287e-06, + "loss": 0.3545, + "step": 25484 + }, + { + "epoch": 0.89, + "learning_rate": 5.726428870515332e-06, + "loss": 0.4494, + "step": 25485 + }, + { + "epoch": 0.89, + "learning_rate": 5.722759988313853e-06, + "loss": 0.5121, + "step": 25486 + }, + { + "epoch": 0.89, + "learning_rate": 5.719092247181246e-06, + "loss": 0.3954, + "step": 25487 + }, + { + "epoch": 0.89, + "learning_rate": 5.715425647161909e-06, + "loss": 0.428, + "step": 25488 + }, + { + "epoch": 0.89, + "learning_rate": 5.711760188300208e-06, + "loss": 0.4206, + "step": 25489 + }, + { + "epoch": 0.89, + "learning_rate": 5.708095870640506e-06, + "loss": 0.3527, + "step": 25490 + }, + { + "epoch": 0.89, + "learning_rate": 5.7044326942271795e-06, + "loss": 0.3622, + "step": 25491 + }, + { + "epoch": 0.89, + "learning_rate": 5.7007706591045375e-06, + "loss": 0.3732, + "step": 25492 + }, + { + "epoch": 0.89, + "learning_rate": 5.69710976531691e-06, + "loss": 0.4074, + "step": 25493 + }, + { + "epoch": 0.89, + "learning_rate": 5.693450012908619e-06, + "loss": 0.3806, + "step": 25494 + }, + { + "epoch": 0.89, + "learning_rate": 5.689791401923938e-06, + "loss": 0.3978, + "step": 25495 + }, + { + "epoch": 0.89, + "learning_rate": 5.686133932407156e-06, + "loss": 0.4398, + "step": 25496 + }, + { + "epoch": 0.89, + "learning_rate": 5.682477604402547e-06, + "loss": 0.4733, + "step": 25497 + }, + { + "epoch": 0.89, + "learning_rate": 5.678822417954377e-06, + "loss": 0.3635, + "step": 25498 + }, + { + "epoch": 0.89, + "learning_rate": 5.675168373106854e-06, + "loss": 0.4194, + "step": 25499 + }, + { + "epoch": 0.89, + "learning_rate": 5.671515469904231e-06, + "loss": 0.3764, + "step": 25500 + }, + { + "epoch": 0.89, + "learning_rate": 5.667863708390697e-06, + "loss": 0.4597, + "step": 25501 + }, + { + "epoch": 0.89, + "learning_rate": 5.66421308861047e-06, + "loss": 0.4011, + "step": 25502 + }, + { + "epoch": 0.89, + "learning_rate": 5.660563610607739e-06, + "loss": 0.3871, + "step": 25503 + }, + { + "epoch": 0.89, + "learning_rate": 5.656915274426655e-06, + "loss": 0.4225, + "step": 25504 + }, + { + "epoch": 0.89, + "learning_rate": 5.653268080111385e-06, + "loss": 0.351, + "step": 25505 + }, + { + "epoch": 0.89, + "learning_rate": 5.649622027706058e-06, + "loss": 0.4866, + "step": 25506 + }, + { + "epoch": 0.89, + "learning_rate": 5.64597711725483e-06, + "loss": 0.4817, + "step": 25507 + }, + { + "epoch": 0.89, + "learning_rate": 5.6423333488018095e-06, + "loss": 0.5346, + "step": 25508 + }, + { + "epoch": 0.89, + "learning_rate": 5.638690722391083e-06, + "loss": 0.3815, + "step": 25509 + }, + { + "epoch": 0.89, + "learning_rate": 5.635049238066747e-06, + "loss": 0.364, + "step": 25510 + }, + { + "epoch": 0.89, + "learning_rate": 5.63140889587287e-06, + "loss": 0.4391, + "step": 25511 + }, + { + "epoch": 0.89, + "learning_rate": 5.627769695853535e-06, + "loss": 0.3792, + "step": 25512 + }, + { + "epoch": 0.89, + "learning_rate": 5.624131638052765e-06, + "loss": 0.431, + "step": 25513 + }, + { + "epoch": 0.89, + "learning_rate": 5.620494722514602e-06, + "loss": 0.464, + "step": 25514 + }, + { + "epoch": 0.89, + "learning_rate": 5.616858949283055e-06, + "loss": 0.3876, + "step": 25515 + }, + { + "epoch": 0.89, + "learning_rate": 5.6132243184021325e-06, + "loss": 0.3753, + "step": 25516 + }, + { + "epoch": 0.89, + "learning_rate": 5.609590829915834e-06, + "loss": 0.3656, + "step": 25517 + }, + { + "epoch": 0.89, + "learning_rate": 5.605958483868135e-06, + "loss": 0.4263, + "step": 25518 + }, + { + "epoch": 0.89, + "learning_rate": 5.602327280302999e-06, + "loss": 0.4431, + "step": 25519 + }, + { + "epoch": 0.89, + "learning_rate": 5.5986972192643705e-06, + "loss": 0.5063, + "step": 25520 + }, + { + "epoch": 0.89, + "learning_rate": 5.59506830079618e-06, + "loss": 0.3685, + "step": 25521 + }, + { + "epoch": 0.89, + "learning_rate": 5.591440524942359e-06, + "loss": 0.4089, + "step": 25522 + }, + { + "epoch": 0.89, + "learning_rate": 5.5878138917468296e-06, + "loss": 0.4331, + "step": 25523 + }, + { + "epoch": 0.89, + "learning_rate": 5.584188401253454e-06, + "loss": 0.4188, + "step": 25524 + }, + { + "epoch": 0.89, + "learning_rate": 5.580564053506143e-06, + "loss": 0.4052, + "step": 25525 + }, + { + "epoch": 0.89, + "learning_rate": 5.576940848548728e-06, + "loss": 0.4069, + "step": 25526 + }, + { + "epoch": 0.89, + "learning_rate": 5.573318786425097e-06, + "loss": 0.3851, + "step": 25527 + }, + { + "epoch": 0.89, + "learning_rate": 5.56969786717908e-06, + "loss": 0.39, + "step": 25528 + }, + { + "epoch": 0.89, + "learning_rate": 5.5660780908544876e-06, + "loss": 0.3434, + "step": 25529 + }, + { + "epoch": 0.89, + "learning_rate": 5.56245945749515e-06, + "loss": 0.455, + "step": 25530 + }, + { + "epoch": 0.89, + "learning_rate": 5.5588419671448565e-06, + "loss": 0.3893, + "step": 25531 + }, + { + "epoch": 0.89, + "learning_rate": 5.5552256198473705e-06, + "loss": 0.4331, + "step": 25532 + }, + { + "epoch": 0.89, + "learning_rate": 5.551610415646502e-06, + "loss": 0.3979, + "step": 25533 + }, + { + "epoch": 0.89, + "learning_rate": 5.547996354585983e-06, + "loss": 0.4142, + "step": 25534 + }, + { + "epoch": 0.89, + "learning_rate": 5.544383436709555e-06, + "loss": 0.4611, + "step": 25535 + }, + { + "epoch": 0.89, + "learning_rate": 5.540771662060951e-06, + "loss": 0.4317, + "step": 25536 + }, + { + "epoch": 0.89, + "learning_rate": 5.5371610306838796e-06, + "loss": 0.3986, + "step": 25537 + }, + { + "epoch": 0.89, + "learning_rate": 5.5335515426220504e-06, + "loss": 0.3615, + "step": 25538 + }, + { + "epoch": 0.89, + "learning_rate": 5.529943197919152e-06, + "loss": 0.4058, + "step": 25539 + }, + { + "epoch": 0.89, + "learning_rate": 5.526335996618859e-06, + "loss": 0.4473, + "step": 25540 + }, + { + "epoch": 0.89, + "learning_rate": 5.5227299387648145e-06, + "loss": 0.3631, + "step": 25541 + }, + { + "epoch": 0.89, + "learning_rate": 5.519125024400662e-06, + "loss": 0.4461, + "step": 25542 + }, + { + "epoch": 0.89, + "learning_rate": 5.515521253570055e-06, + "loss": 0.4183, + "step": 25543 + }, + { + "epoch": 0.89, + "learning_rate": 5.511918626316603e-06, + "loss": 0.376, + "step": 25544 + }, + { + "epoch": 0.89, + "learning_rate": 5.508317142683905e-06, + "loss": 0.3354, + "step": 25545 + }, + { + "epoch": 0.89, + "learning_rate": 5.504716802715549e-06, + "loss": 0.3884, + "step": 25546 + }, + { + "epoch": 0.89, + "learning_rate": 5.5011176064551196e-06, + "loss": 0.3813, + "step": 25547 + }, + { + "epoch": 0.89, + "learning_rate": 5.4975195539461735e-06, + "loss": 0.3716, + "step": 25548 + }, + { + "epoch": 0.89, + "learning_rate": 5.493922645232263e-06, + "loss": 0.4536, + "step": 25549 + }, + { + "epoch": 0.89, + "learning_rate": 5.490326880356922e-06, + "loss": 0.4105, + "step": 25550 + }, + { + "epoch": 0.89, + "learning_rate": 5.486732259363647e-06, + "loss": 0.407, + "step": 25551 + }, + { + "epoch": 0.89, + "learning_rate": 5.4831387822959825e-06, + "loss": 0.3959, + "step": 25552 + }, + { + "epoch": 0.89, + "learning_rate": 5.479546449197415e-06, + "loss": 0.4355, + "step": 25553 + }, + { + "epoch": 0.89, + "learning_rate": 5.475955260111409e-06, + "loss": 0.4731, + "step": 25554 + }, + { + "epoch": 0.89, + "learning_rate": 5.472365215081432e-06, + "loss": 0.4005, + "step": 25555 + }, + { + "epoch": 0.89, + "learning_rate": 5.4687763141509255e-06, + "loss": 0.4251, + "step": 25556 + }, + { + "epoch": 0.89, + "learning_rate": 5.465188557363354e-06, + "loss": 0.3574, + "step": 25557 + }, + { + "epoch": 0.89, + "learning_rate": 5.4616019447621406e-06, + "loss": 0.4505, + "step": 25558 + }, + { + "epoch": 0.89, + "learning_rate": 5.45801647639067e-06, + "loss": 0.4452, + "step": 25559 + }, + { + "epoch": 0.89, + "learning_rate": 5.454432152292355e-06, + "loss": 0.4431, + "step": 25560 + }, + { + "epoch": 0.89, + "learning_rate": 5.450848972510558e-06, + "loss": 0.4075, + "step": 25561 + }, + { + "epoch": 0.89, + "learning_rate": 5.4472669370886794e-06, + "loss": 0.4418, + "step": 25562 + }, + { + "epoch": 0.89, + "learning_rate": 5.443686046070051e-06, + "loss": 0.3694, + "step": 25563 + }, + { + "epoch": 0.89, + "learning_rate": 5.4401062994980265e-06, + "loss": 0.4003, + "step": 25564 + }, + { + "epoch": 0.89, + "learning_rate": 5.4365276974159274e-06, + "loss": 0.3477, + "step": 25565 + }, + { + "epoch": 0.89, + "learning_rate": 5.432950239867063e-06, + "loss": 0.4021, + "step": 25566 + }, + { + "epoch": 0.89, + "learning_rate": 5.429373926894721e-06, + "loss": 0.3999, + "step": 25567 + }, + { + "epoch": 0.89, + "learning_rate": 5.425798758542222e-06, + "loss": 0.4348, + "step": 25568 + }, + { + "epoch": 0.89, + "learning_rate": 5.42222473485281e-06, + "loss": 0.4157, + "step": 25569 + }, + { + "epoch": 0.89, + "learning_rate": 5.418651855869749e-06, + "loss": 0.4263, + "step": 25570 + }, + { + "epoch": 0.89, + "learning_rate": 5.415080121636274e-06, + "loss": 0.4268, + "step": 25571 + }, + { + "epoch": 0.89, + "learning_rate": 5.411509532195624e-06, + "loss": 0.3712, + "step": 25572 + }, + { + "epoch": 0.89, + "learning_rate": 5.407940087591024e-06, + "loss": 0.4321, + "step": 25573 + }, + { + "epoch": 0.89, + "learning_rate": 5.40437178786567e-06, + "loss": 0.4341, + "step": 25574 + }, + { + "epoch": 0.89, + "learning_rate": 5.400804633062739e-06, + "loss": 0.4097, + "step": 25575 + }, + { + "epoch": 0.89, + "learning_rate": 5.39723862322542e-06, + "loss": 0.3939, + "step": 25576 + }, + { + "epoch": 0.9, + "learning_rate": 5.393673758396845e-06, + "loss": 0.4804, + "step": 25577 + }, + { + "epoch": 0.9, + "learning_rate": 5.390110038620211e-06, + "loss": 0.3497, + "step": 25578 + }, + { + "epoch": 0.9, + "learning_rate": 5.386547463938607e-06, + "loss": 0.3565, + "step": 25579 + }, + { + "epoch": 0.9, + "learning_rate": 5.382986034395176e-06, + "loss": 0.3833, + "step": 25580 + }, + { + "epoch": 0.9, + "learning_rate": 5.379425750033018e-06, + "loss": 0.3659, + "step": 25581 + }, + { + "epoch": 0.9, + "learning_rate": 5.375866610895208e-06, + "loss": 0.4691, + "step": 25582 + }, + { + "epoch": 0.9, + "learning_rate": 5.372308617024846e-06, + "loss": 0.3476, + "step": 25583 + }, + { + "epoch": 0.9, + "learning_rate": 5.368751768464986e-06, + "loss": 0.4484, + "step": 25584 + }, + { + "epoch": 0.9, + "learning_rate": 5.365196065258682e-06, + "loss": 0.4593, + "step": 25585 + }, + { + "epoch": 0.9, + "learning_rate": 5.361641507448967e-06, + "loss": 0.2884, + "step": 25586 + }, + { + "epoch": 0.9, + "learning_rate": 5.358088095078839e-06, + "loss": 0.4039, + "step": 25587 + }, + { + "epoch": 0.9, + "learning_rate": 5.354535828191354e-06, + "loss": 0.392, + "step": 25588 + }, + { + "epoch": 0.9, + "learning_rate": 5.350984706829476e-06, + "loss": 0.434, + "step": 25589 + }, + { + "epoch": 0.9, + "learning_rate": 5.347434731036182e-06, + "loss": 0.3884, + "step": 25590 + }, + { + "epoch": 0.9, + "learning_rate": 5.343885900854462e-06, + "loss": 0.4409, + "step": 25591 + }, + { + "epoch": 0.9, + "learning_rate": 5.340338216327234e-06, + "loss": 0.3928, + "step": 25592 + }, + { + "epoch": 0.9, + "learning_rate": 5.3367916774974655e-06, + "loss": 0.3854, + "step": 25593 + }, + { + "epoch": 0.9, + "learning_rate": 5.333246284408088e-06, + "loss": 0.3688, + "step": 25594 + }, + { + "epoch": 0.9, + "learning_rate": 5.32970203710198e-06, + "loss": 0.442, + "step": 25595 + }, + { + "epoch": 0.9, + "learning_rate": 5.326158935622072e-06, + "loss": 0.4536, + "step": 25596 + }, + { + "epoch": 0.9, + "learning_rate": 5.322616980011219e-06, + "loss": 0.3977, + "step": 25597 + }, + { + "epoch": 0.9, + "learning_rate": 5.319076170312287e-06, + "loss": 0.404, + "step": 25598 + }, + { + "epoch": 0.9, + "learning_rate": 5.315536506568175e-06, + "loss": 0.3778, + "step": 25599 + }, + { + "epoch": 0.9, + "learning_rate": 5.311997988821693e-06, + "loss": 0.3808, + "step": 25600 + }, + { + "epoch": 0.9, + "eval_loss": 0.39919450879096985, + "eval_runtime": 854.1993, + "eval_samples_per_second": 28.167, + "eval_steps_per_second": 14.083, + "step": 25600 + }, + { + "epoch": 0.9, + "learning_rate": 5.308460617115662e-06, + "loss": 0.5306, + "step": 25601 + }, + { + "epoch": 0.9, + "learning_rate": 5.3049243914929155e-06, + "loss": 0.3223, + "step": 25602 + }, + { + "epoch": 0.9, + "learning_rate": 5.30138931199623e-06, + "loss": 0.2896, + "step": 25603 + }, + { + "epoch": 0.9, + "learning_rate": 5.297855378668426e-06, + "loss": 0.4289, + "step": 25604 + }, + { + "epoch": 0.9, + "learning_rate": 5.2943225915522474e-06, + "loss": 0.4389, + "step": 25605 + }, + { + "epoch": 0.9, + "learning_rate": 5.290790950690471e-06, + "loss": 0.4765, + "step": 25606 + }, + { + "epoch": 0.9, + "learning_rate": 5.287260456125831e-06, + "loss": 0.3954, + "step": 25607 + }, + { + "epoch": 0.9, + "learning_rate": 5.283731107901036e-06, + "loss": 0.4747, + "step": 25608 + }, + { + "epoch": 0.9, + "learning_rate": 5.280202906058851e-06, + "loss": 0.3987, + "step": 25609 + }, + { + "epoch": 0.9, + "learning_rate": 5.2766758506419545e-06, + "loss": 0.3867, + "step": 25610 + }, + { + "epoch": 0.9, + "learning_rate": 5.273149941693034e-06, + "loss": 0.3949, + "step": 25611 + }, + { + "epoch": 0.9, + "learning_rate": 5.269625179254756e-06, + "loss": 0.479, + "step": 25612 + }, + { + "epoch": 0.9, + "learning_rate": 5.266101563369785e-06, + "loss": 0.3741, + "step": 25613 + }, + { + "epoch": 0.9, + "learning_rate": 5.262579094080799e-06, + "loss": 0.3416, + "step": 25614 + }, + { + "epoch": 0.9, + "learning_rate": 5.259057771430398e-06, + "loss": 0.4174, + "step": 25615 + }, + { + "epoch": 0.9, + "learning_rate": 5.255537595461213e-06, + "loss": 0.3925, + "step": 25616 + }, + { + "epoch": 0.9, + "learning_rate": 5.252018566215855e-06, + "loss": 0.3878, + "step": 25617 + }, + { + "epoch": 0.9, + "learning_rate": 5.24850068373689e-06, + "loss": 0.3559, + "step": 25618 + }, + { + "epoch": 0.9, + "learning_rate": 5.24498394806694e-06, + "loss": 0.4005, + "step": 25619 + }, + { + "epoch": 0.9, + "learning_rate": 5.241468359248536e-06, + "loss": 0.3716, + "step": 25620 + }, + { + "epoch": 0.9, + "learning_rate": 5.237953917324234e-06, + "loss": 0.3823, + "step": 25621 + }, + { + "epoch": 0.9, + "learning_rate": 5.234440622336578e-06, + "loss": 0.3105, + "step": 25622 + }, + { + "epoch": 0.9, + "learning_rate": 5.230928474328079e-06, + "loss": 0.377, + "step": 25623 + }, + { + "epoch": 0.9, + "learning_rate": 5.227417473341267e-06, + "loss": 0.3957, + "step": 25624 + }, + { + "epoch": 0.9, + "learning_rate": 5.223907619418611e-06, + "loss": 0.4039, + "step": 25625 + }, + { + "epoch": 0.9, + "learning_rate": 5.22039891260262e-06, + "loss": 0.3708, + "step": 25626 + }, + { + "epoch": 0.9, + "learning_rate": 5.2168913529357376e-06, + "loss": 0.3832, + "step": 25627 + }, + { + "epoch": 0.9, + "learning_rate": 5.213384940460408e-06, + "loss": 0.3332, + "step": 25628 + }, + { + "epoch": 0.9, + "learning_rate": 5.2098796752190986e-06, + "loss": 0.4463, + "step": 25629 + }, + { + "epoch": 0.9, + "learning_rate": 5.2063755572542285e-06, + "loss": 0.3749, + "step": 25630 + }, + { + "epoch": 0.9, + "learning_rate": 5.2028725866082095e-06, + "loss": 0.4679, + "step": 25631 + }, + { + "epoch": 0.9, + "learning_rate": 5.199370763323419e-06, + "loss": 0.4201, + "step": 25632 + }, + { + "epoch": 0.9, + "learning_rate": 5.195870087442267e-06, + "loss": 0.3999, + "step": 25633 + }, + { + "epoch": 0.9, + "learning_rate": 5.192370559007098e-06, + "loss": 0.3785, + "step": 25634 + }, + { + "epoch": 0.9, + "learning_rate": 5.1888721780602885e-06, + "loss": 0.4065, + "step": 25635 + }, + { + "epoch": 0.9, + "learning_rate": 5.185374944644184e-06, + "loss": 0.4015, + "step": 25636 + }, + { + "epoch": 0.9, + "learning_rate": 5.181878858801092e-06, + "loss": 0.3855, + "step": 25637 + }, + { + "epoch": 0.9, + "learning_rate": 5.1783839205733375e-06, + "loss": 0.3178, + "step": 25638 + }, + { + "epoch": 0.9, + "learning_rate": 5.1748901300032185e-06, + "loss": 0.3856, + "step": 25639 + }, + { + "epoch": 0.9, + "learning_rate": 5.171397487133023e-06, + "loss": 0.3811, + "step": 25640 + }, + { + "epoch": 0.9, + "learning_rate": 5.16790599200504e-06, + "loss": 0.4319, + "step": 25641 + }, + { + "epoch": 0.9, + "learning_rate": 5.164415644661502e-06, + "loss": 0.3627, + "step": 25642 + }, + { + "epoch": 0.9, + "learning_rate": 5.160926445144665e-06, + "loss": 0.3761, + "step": 25643 + }, + { + "epoch": 0.9, + "learning_rate": 5.15743839349675e-06, + "loss": 0.3707, + "step": 25644 + }, + { + "epoch": 0.9, + "learning_rate": 5.153951489759989e-06, + "loss": 0.3613, + "step": 25645 + }, + { + "epoch": 0.9, + "learning_rate": 5.150465733976583e-06, + "loss": 0.5453, + "step": 25646 + }, + { + "epoch": 0.9, + "learning_rate": 5.146981126188721e-06, + "loss": 0.3332, + "step": 25647 + }, + { + "epoch": 0.9, + "learning_rate": 5.143497666438568e-06, + "loss": 0.4227, + "step": 25648 + }, + { + "epoch": 0.9, + "learning_rate": 5.1400153547682906e-06, + "loss": 0.4722, + "step": 25649 + }, + { + "epoch": 0.9, + "learning_rate": 5.136534191220044e-06, + "loss": 0.4392, + "step": 25650 + }, + { + "epoch": 0.9, + "learning_rate": 5.133054175835961e-06, + "loss": 0.2819, + "step": 25651 + }, + { + "epoch": 0.9, + "learning_rate": 5.129575308658152e-06, + "loss": 0.3968, + "step": 25652 + }, + { + "epoch": 0.9, + "learning_rate": 5.126097589728729e-06, + "loss": 0.4095, + "step": 25653 + }, + { + "epoch": 0.9, + "learning_rate": 5.1226210190897685e-06, + "loss": 0.3792, + "step": 25654 + }, + { + "epoch": 0.9, + "learning_rate": 5.1191455967833814e-06, + "loss": 0.4353, + "step": 25655 + }, + { + "epoch": 0.9, + "learning_rate": 5.115671322851601e-06, + "loss": 0.3777, + "step": 25656 + }, + { + "epoch": 0.9, + "learning_rate": 5.112198197336504e-06, + "loss": 0.3861, + "step": 25657 + }, + { + "epoch": 0.9, + "learning_rate": 5.1087262202801025e-06, + "loss": 0.412, + "step": 25658 + }, + { + "epoch": 0.9, + "learning_rate": 5.105255391724417e-06, + "loss": 0.4023, + "step": 25659 + }, + { + "epoch": 0.9, + "learning_rate": 5.101785711711482e-06, + "loss": 0.4138, + "step": 25660 + }, + { + "epoch": 0.9, + "learning_rate": 5.098317180283285e-06, + "loss": 0.4023, + "step": 25661 + }, + { + "epoch": 0.9, + "learning_rate": 5.094849797481793e-06, + "loss": 0.3855, + "step": 25662 + }, + { + "epoch": 0.9, + "learning_rate": 5.091383563348983e-06, + "loss": 0.4011, + "step": 25663 + }, + { + "epoch": 0.9, + "learning_rate": 5.087918477926801e-06, + "loss": 0.3364, + "step": 25664 + }, + { + "epoch": 0.9, + "learning_rate": 5.084454541257177e-06, + "loss": 0.3755, + "step": 25665 + }, + { + "epoch": 0.9, + "learning_rate": 5.08099175338207e-06, + "loss": 0.4853, + "step": 25666 + }, + { + "epoch": 0.9, + "learning_rate": 5.077530114343365e-06, + "loss": 0.4569, + "step": 25667 + }, + { + "epoch": 0.9, + "learning_rate": 5.074069624182964e-06, + "loss": 0.4613, + "step": 25668 + }, + { + "epoch": 0.9, + "learning_rate": 5.070610282942756e-06, + "loss": 0.3746, + "step": 25669 + }, + { + "epoch": 0.9, + "learning_rate": 5.067152090664596e-06, + "loss": 0.4169, + "step": 25670 + }, + { + "epoch": 0.9, + "learning_rate": 5.063695047390349e-06, + "loss": 0.4459, + "step": 25671 + }, + { + "epoch": 0.9, + "learning_rate": 5.060239153161872e-06, + "loss": 0.3738, + "step": 25672 + }, + { + "epoch": 0.9, + "learning_rate": 5.056784408020965e-06, + "loss": 0.3216, + "step": 25673 + }, + { + "epoch": 0.9, + "learning_rate": 5.0533308120094715e-06, + "loss": 0.4616, + "step": 25674 + }, + { + "epoch": 0.9, + "learning_rate": 5.049878365169147e-06, + "loss": 0.4268, + "step": 25675 + }, + { + "epoch": 0.9, + "learning_rate": 5.0464270675418255e-06, + "loss": 0.4379, + "step": 25676 + }, + { + "epoch": 0.9, + "learning_rate": 5.042976919169251e-06, + "loss": 0.4648, + "step": 25677 + }, + { + "epoch": 0.9, + "learning_rate": 5.039527920093201e-06, + "loss": 0.3595, + "step": 25678 + }, + { + "epoch": 0.9, + "learning_rate": 5.036080070355409e-06, + "loss": 0.453, + "step": 25679 + }, + { + "epoch": 0.9, + "learning_rate": 5.0326333699975966e-06, + "loss": 0.4727, + "step": 25680 + }, + { + "epoch": 0.9, + "learning_rate": 5.029187819061498e-06, + "loss": 0.3931, + "step": 25681 + }, + { + "epoch": 0.9, + "learning_rate": 5.025743417588802e-06, + "loss": 0.3544, + "step": 25682 + }, + { + "epoch": 0.9, + "learning_rate": 5.022300165621208e-06, + "loss": 0.3696, + "step": 25683 + }, + { + "epoch": 0.9, + "learning_rate": 5.018858063200371e-06, + "loss": 0.3484, + "step": 25684 + }, + { + "epoch": 0.9, + "learning_rate": 5.0154171103679705e-06, + "loss": 0.3735, + "step": 25685 + }, + { + "epoch": 0.9, + "learning_rate": 5.0119773071656606e-06, + "loss": 0.3859, + "step": 25686 + }, + { + "epoch": 0.9, + "learning_rate": 5.0085386536350535e-06, + "loss": 0.3831, + "step": 25687 + }, + { + "epoch": 0.9, + "learning_rate": 5.005101149817781e-06, + "loss": 0.3723, + "step": 25688 + }, + { + "epoch": 0.9, + "learning_rate": 5.001664795755434e-06, + "loss": 0.3903, + "step": 25689 + }, + { + "epoch": 0.9, + "learning_rate": 4.9982295914896335e-06, + "loss": 0.4956, + "step": 25690 + }, + { + "epoch": 0.9, + "learning_rate": 4.994795537061936e-06, + "loss": 0.4077, + "step": 25691 + }, + { + "epoch": 0.9, + "learning_rate": 4.991362632513908e-06, + "loss": 0.4061, + "step": 25692 + }, + { + "epoch": 0.9, + "learning_rate": 4.987930877887093e-06, + "loss": 0.3936, + "step": 25693 + }, + { + "epoch": 0.9, + "learning_rate": 4.984500273223025e-06, + "loss": 0.3704, + "step": 25694 + }, + { + "epoch": 0.9, + "learning_rate": 4.981070818563238e-06, + "loss": 0.4076, + "step": 25695 + }, + { + "epoch": 0.9, + "learning_rate": 4.9776425139492435e-06, + "loss": 0.3931, + "step": 25696 + }, + { + "epoch": 0.9, + "learning_rate": 4.974215359422518e-06, + "loss": 0.4654, + "step": 25697 + }, + { + "epoch": 0.9, + "learning_rate": 4.9707893550245635e-06, + "loss": 0.3997, + "step": 25698 + }, + { + "epoch": 0.9, + "learning_rate": 4.967364500796823e-06, + "loss": 0.39, + "step": 25699 + }, + { + "epoch": 0.9, + "learning_rate": 4.963940796780742e-06, + "loss": 0.4067, + "step": 25700 + }, + { + "epoch": 0.9, + "learning_rate": 4.960518243017797e-06, + "loss": 0.3945, + "step": 25701 + }, + { + "epoch": 0.9, + "learning_rate": 4.957096839549391e-06, + "loss": 0.402, + "step": 25702 + }, + { + "epoch": 0.9, + "learning_rate": 4.953676586416933e-06, + "loss": 0.3761, + "step": 25703 + }, + { + "epoch": 0.9, + "learning_rate": 4.950257483661813e-06, + "loss": 0.3559, + "step": 25704 + }, + { + "epoch": 0.9, + "learning_rate": 4.94683953132542e-06, + "loss": 0.3872, + "step": 25705 + }, + { + "epoch": 0.9, + "learning_rate": 4.943422729449121e-06, + "loss": 0.3776, + "step": 25706 + }, + { + "epoch": 0.9, + "learning_rate": 4.940007078074282e-06, + "loss": 0.376, + "step": 25707 + }, + { + "epoch": 0.9, + "learning_rate": 4.936592577242239e-06, + "loss": 0.3206, + "step": 25708 + }, + { + "epoch": 0.9, + "learning_rate": 4.933179226994311e-06, + "loss": 0.4129, + "step": 25709 + }, + { + "epoch": 0.9, + "learning_rate": 4.9297670273718014e-06, + "loss": 0.4225, + "step": 25710 + }, + { + "epoch": 0.9, + "learning_rate": 4.9263559784160416e-06, + "loss": 0.3715, + "step": 25711 + }, + { + "epoch": 0.9, + "learning_rate": 4.9229460801682896e-06, + "loss": 0.406, + "step": 25712 + }, + { + "epoch": 0.9, + "learning_rate": 4.919537332669832e-06, + "loss": 0.4354, + "step": 25713 + }, + { + "epoch": 0.9, + "learning_rate": 4.916129735961905e-06, + "loss": 0.4049, + "step": 25714 + }, + { + "epoch": 0.9, + "learning_rate": 4.912723290085764e-06, + "loss": 0.3692, + "step": 25715 + }, + { + "epoch": 0.9, + "learning_rate": 4.909317995082652e-06, + "loss": 0.4281, + "step": 25716 + }, + { + "epoch": 0.9, + "learning_rate": 4.90591385099377e-06, + "loss": 0.5123, + "step": 25717 + }, + { + "epoch": 0.9, + "learning_rate": 4.90251085786032e-06, + "loss": 0.4159, + "step": 25718 + }, + { + "epoch": 0.9, + "learning_rate": 4.899109015723502e-06, + "loss": 0.4018, + "step": 25719 + }, + { + "epoch": 0.9, + "learning_rate": 4.8957083246244485e-06, + "loss": 0.4193, + "step": 25720 + }, + { + "epoch": 0.9, + "learning_rate": 4.892308784604383e-06, + "loss": 0.4698, + "step": 25721 + }, + { + "epoch": 0.9, + "learning_rate": 4.888910395704405e-06, + "loss": 0.4055, + "step": 25722 + }, + { + "epoch": 0.9, + "learning_rate": 4.88551315796566e-06, + "loss": 0.4432, + "step": 25723 + }, + { + "epoch": 0.9, + "learning_rate": 4.882117071429259e-06, + "loss": 0.4174, + "step": 25724 + }, + { + "epoch": 0.9, + "learning_rate": 4.878722136136316e-06, + "loss": 0.4124, + "step": 25725 + }, + { + "epoch": 0.9, + "learning_rate": 4.875328352127917e-06, + "loss": 0.3926, + "step": 25726 + }, + { + "epoch": 0.9, + "learning_rate": 4.8719357194451425e-06, + "loss": 0.3778, + "step": 25727 + }, + { + "epoch": 0.9, + "learning_rate": 4.868544238129047e-06, + "loss": 0.463, + "step": 25728 + }, + { + "epoch": 0.9, + "learning_rate": 4.865153908220687e-06, + "loss": 0.3285, + "step": 25729 + }, + { + "epoch": 0.9, + "learning_rate": 4.861764729761076e-06, + "loss": 0.3989, + "step": 25730 + }, + { + "epoch": 0.9, + "learning_rate": 4.858376702791267e-06, + "loss": 0.3855, + "step": 25731 + }, + { + "epoch": 0.9, + "learning_rate": 4.854989827352241e-06, + "loss": 0.3459, + "step": 25732 + }, + { + "epoch": 0.9, + "learning_rate": 4.851604103485008e-06, + "loss": 0.4452, + "step": 25733 + }, + { + "epoch": 0.9, + "learning_rate": 4.8482195312305355e-06, + "loss": 0.48, + "step": 25734 + }, + { + "epoch": 0.9, + "learning_rate": 4.8448361106297915e-06, + "loss": 0.4447, + "step": 25735 + }, + { + "epoch": 0.9, + "learning_rate": 4.841453841723709e-06, + "loss": 0.4233, + "step": 25736 + }, + { + "epoch": 0.9, + "learning_rate": 4.838072724553256e-06, + "loss": 0.4134, + "step": 25737 + }, + { + "epoch": 0.9, + "learning_rate": 4.834692759159342e-06, + "loss": 0.4288, + "step": 25738 + }, + { + "epoch": 0.9, + "learning_rate": 4.831313945582871e-06, + "loss": 0.4155, + "step": 25739 + }, + { + "epoch": 0.9, + "learning_rate": 4.827936283864742e-06, + "loss": 0.4053, + "step": 25740 + }, + { + "epoch": 0.9, + "learning_rate": 4.824559774045822e-06, + "loss": 0.3958, + "step": 25741 + }, + { + "epoch": 0.9, + "learning_rate": 4.821184416167013e-06, + "loss": 0.4914, + "step": 25742 + }, + { + "epoch": 0.9, + "learning_rate": 4.817810210269136e-06, + "loss": 0.4129, + "step": 25743 + }, + { + "epoch": 0.9, + "learning_rate": 4.8144371563930476e-06, + "loss": 0.4086, + "step": 25744 + }, + { + "epoch": 0.9, + "learning_rate": 4.811065254579561e-06, + "loss": 0.3852, + "step": 25745 + }, + { + "epoch": 0.9, + "learning_rate": 4.807694504869475e-06, + "loss": 0.4545, + "step": 25746 + }, + { + "epoch": 0.9, + "learning_rate": 4.8043249073036255e-06, + "loss": 0.3964, + "step": 25747 + }, + { + "epoch": 0.9, + "learning_rate": 4.800956461922779e-06, + "loss": 0.4299, + "step": 25748 + }, + { + "epoch": 0.9, + "learning_rate": 4.797589168767691e-06, + "loss": 0.3787, + "step": 25749 + }, + { + "epoch": 0.9, + "learning_rate": 4.79422302787913e-06, + "loss": 0.3937, + "step": 25750 + }, + { + "epoch": 0.9, + "learning_rate": 4.7908580392978186e-06, + "loss": 0.3966, + "step": 25751 + }, + { + "epoch": 0.9, + "learning_rate": 4.787494203064513e-06, + "loss": 0.4318, + "step": 25752 + }, + { + "epoch": 0.9, + "learning_rate": 4.7841315192199145e-06, + "loss": 0.3801, + "step": 25753 + }, + { + "epoch": 0.9, + "learning_rate": 4.780769987804723e-06, + "loss": 0.3784, + "step": 25754 + }, + { + "epoch": 0.9, + "learning_rate": 4.777409608859629e-06, + "loss": 0.4202, + "step": 25755 + }, + { + "epoch": 0.9, + "learning_rate": 4.774050382425277e-06, + "loss": 0.4069, + "step": 25756 + }, + { + "epoch": 0.9, + "learning_rate": 4.770692308542357e-06, + "loss": 0.424, + "step": 25757 + }, + { + "epoch": 0.9, + "learning_rate": 4.767335387251503e-06, + "loss": 0.3936, + "step": 25758 + }, + { + "epoch": 0.9, + "learning_rate": 4.763979618593351e-06, + "loss": 0.4326, + "step": 25759 + }, + { + "epoch": 0.9, + "learning_rate": 4.76062500260851e-06, + "loss": 0.4296, + "step": 25760 + }, + { + "epoch": 0.9, + "learning_rate": 4.757271539337571e-06, + "loss": 0.4867, + "step": 25761 + }, + { + "epoch": 0.9, + "learning_rate": 4.753919228821135e-06, + "loss": 0.4113, + "step": 25762 + }, + { + "epoch": 0.9, + "learning_rate": 4.750568071099781e-06, + "loss": 0.354, + "step": 25763 + }, + { + "epoch": 0.9, + "learning_rate": 4.747218066214066e-06, + "loss": 0.4769, + "step": 25764 + }, + { + "epoch": 0.9, + "learning_rate": 4.743869214204522e-06, + "loss": 0.4019, + "step": 25765 + }, + { + "epoch": 0.9, + "learning_rate": 4.740521515111707e-06, + "loss": 0.4262, + "step": 25766 + }, + { + "epoch": 0.9, + "learning_rate": 4.737174968976099e-06, + "loss": 0.3841, + "step": 25767 + }, + { + "epoch": 0.9, + "learning_rate": 4.733829575838245e-06, + "loss": 0.432, + "step": 25768 + }, + { + "epoch": 0.9, + "learning_rate": 4.730485335738622e-06, + "loss": 0.4368, + "step": 25769 + }, + { + "epoch": 0.9, + "learning_rate": 4.727142248717698e-06, + "loss": 0.4685, + "step": 25770 + }, + { + "epoch": 0.9, + "learning_rate": 4.7238003148159406e-06, + "loss": 0.4877, + "step": 25771 + }, + { + "epoch": 0.9, + "learning_rate": 4.720459534073784e-06, + "loss": 0.3924, + "step": 25772 + }, + { + "epoch": 0.9, + "learning_rate": 4.717119906531686e-06, + "loss": 0.4213, + "step": 25773 + }, + { + "epoch": 0.9, + "learning_rate": 4.713781432230069e-06, + "loss": 0.3994, + "step": 25774 + }, + { + "epoch": 0.9, + "learning_rate": 4.7104441112093225e-06, + "loss": 0.4518, + "step": 25775 + }, + { + "epoch": 0.9, + "learning_rate": 4.707107943509848e-06, + "loss": 0.4545, + "step": 25776 + }, + { + "epoch": 0.9, + "learning_rate": 4.703772929172001e-06, + "loss": 0.4212, + "step": 25777 + }, + { + "epoch": 0.9, + "learning_rate": 4.700439068236184e-06, + "loss": 0.4748, + "step": 25778 + }, + { + "epoch": 0.9, + "learning_rate": 4.6971063607427315e-06, + "loss": 0.4282, + "step": 25779 + }, + { + "epoch": 0.9, + "learning_rate": 4.693774806731976e-06, + "loss": 0.4254, + "step": 25780 + }, + { + "epoch": 0.9, + "learning_rate": 4.690444406244254e-06, + "loss": 0.3489, + "step": 25781 + }, + { + "epoch": 0.9, + "learning_rate": 4.687115159319844e-06, + "loss": 0.4294, + "step": 25782 + }, + { + "epoch": 0.9, + "learning_rate": 4.683787065999068e-06, + "loss": 0.4079, + "step": 25783 + }, + { + "epoch": 0.9, + "learning_rate": 4.680460126322206e-06, + "loss": 0.3955, + "step": 25784 + }, + { + "epoch": 0.9, + "learning_rate": 4.677134340329526e-06, + "loss": 0.4836, + "step": 25785 + }, + { + "epoch": 0.9, + "learning_rate": 4.673809708061261e-06, + "loss": 0.3769, + "step": 25786 + }, + { + "epoch": 0.9, + "learning_rate": 4.670486229557658e-06, + "loss": 0.4172, + "step": 25787 + }, + { + "epoch": 0.9, + "learning_rate": 4.667163904858962e-06, + "loss": 0.3903, + "step": 25788 + }, + { + "epoch": 0.9, + "learning_rate": 4.663842734005375e-06, + "loss": 0.3501, + "step": 25789 + }, + { + "epoch": 0.9, + "learning_rate": 4.6605227170370744e-06, + "loss": 0.4537, + "step": 25790 + }, + { + "epoch": 0.9, + "learning_rate": 4.657203853994274e-06, + "loss": 0.4122, + "step": 25791 + }, + { + "epoch": 0.9, + "learning_rate": 4.653886144917108e-06, + "loss": 0.4651, + "step": 25792 + }, + { + "epoch": 0.9, + "learning_rate": 4.6505695898457655e-06, + "loss": 0.4553, + "step": 25793 + }, + { + "epoch": 0.9, + "learning_rate": 4.6472541888203715e-06, + "loss": 0.4336, + "step": 25794 + }, + { + "epoch": 0.9, + "learning_rate": 4.643939941881048e-06, + "loss": 0.388, + "step": 25795 + }, + { + "epoch": 0.9, + "learning_rate": 4.640626849067931e-06, + "loss": 0.4462, + "step": 25796 + }, + { + "epoch": 0.9, + "learning_rate": 4.637314910421098e-06, + "loss": 0.4227, + "step": 25797 + }, + { + "epoch": 0.9, + "learning_rate": 4.634004125980618e-06, + "loss": 0.3892, + "step": 25798 + }, + { + "epoch": 0.9, + "learning_rate": 4.630694495786614e-06, + "loss": 0.4221, + "step": 25799 + }, + { + "epoch": 0.9, + "learning_rate": 4.627386019879109e-06, + "loss": 0.3811, + "step": 25800 + }, + { + "epoch": 0.9, + "eval_loss": 0.3988822400569916, + "eval_runtime": 844.4889, + "eval_samples_per_second": 28.491, + "eval_steps_per_second": 14.245, + "step": 25800 + }, + { + "epoch": 0.9, + "learning_rate": 4.624078698298151e-06, + "loss": 0.4283, + "step": 25801 + }, + { + "epoch": 0.9, + "learning_rate": 4.620772531083773e-06, + "loss": 0.5094, + "step": 25802 + }, + { + "epoch": 0.9, + "learning_rate": 4.6174675182759756e-06, + "loss": 0.3585, + "step": 25803 + }, + { + "epoch": 0.9, + "learning_rate": 4.614163659914794e-06, + "loss": 0.3656, + "step": 25804 + }, + { + "epoch": 0.9, + "learning_rate": 4.610860956040186e-06, + "loss": 0.4004, + "step": 25805 + }, + { + "epoch": 0.9, + "learning_rate": 4.607559406692141e-06, + "loss": 0.4158, + "step": 25806 + }, + { + "epoch": 0.9, + "learning_rate": 4.604259011910617e-06, + "loss": 0.45, + "step": 25807 + }, + { + "epoch": 0.9, + "learning_rate": 4.600959771735536e-06, + "loss": 0.3924, + "step": 25808 + }, + { + "epoch": 0.9, + "learning_rate": 4.597661686206867e-06, + "loss": 0.4308, + "step": 25809 + }, + { + "epoch": 0.9, + "learning_rate": 4.594364755364511e-06, + "loss": 0.3679, + "step": 25810 + }, + { + "epoch": 0.9, + "learning_rate": 4.59106897924837e-06, + "loss": 0.4541, + "step": 25811 + }, + { + "epoch": 0.9, + "learning_rate": 4.587774357898333e-06, + "loss": 0.3635, + "step": 25812 + }, + { + "epoch": 0.9, + "learning_rate": 4.584480891354259e-06, + "loss": 0.433, + "step": 25813 + }, + { + "epoch": 0.9, + "learning_rate": 4.58118857965606e-06, + "loss": 0.366, + "step": 25814 + }, + { + "epoch": 0.9, + "learning_rate": 4.5778974228435466e-06, + "loss": 0.3689, + "step": 25815 + }, + { + "epoch": 0.9, + "learning_rate": 4.574607420956556e-06, + "loss": 0.4246, + "step": 25816 + }, + { + "epoch": 0.9, + "learning_rate": 4.5713185740349e-06, + "loss": 0.3765, + "step": 25817 + }, + { + "epoch": 0.9, + "learning_rate": 4.568030882118413e-06, + "loss": 0.4121, + "step": 25818 + }, + { + "epoch": 0.9, + "learning_rate": 4.564744345246863e-06, + "loss": 0.3644, + "step": 25819 + }, + { + "epoch": 0.9, + "learning_rate": 4.56145896346003e-06, + "loss": 0.4377, + "step": 25820 + }, + { + "epoch": 0.9, + "learning_rate": 4.558174736797694e-06, + "loss": 0.4194, + "step": 25821 + }, + { + "epoch": 0.9, + "learning_rate": 4.554891665299566e-06, + "loss": 0.3673, + "step": 25822 + }, + { + "epoch": 0.9, + "learning_rate": 4.5516097490054365e-06, + "loss": 0.4467, + "step": 25823 + }, + { + "epoch": 0.9, + "learning_rate": 4.548328987954997e-06, + "loss": 0.5119, + "step": 25824 + }, + { + "epoch": 0.9, + "learning_rate": 4.54504938218796e-06, + "loss": 0.3887, + "step": 25825 + }, + { + "epoch": 0.9, + "learning_rate": 4.541770931744027e-06, + "loss": 0.4787, + "step": 25826 + }, + { + "epoch": 0.9, + "learning_rate": 4.538493636662855e-06, + "loss": 0.3622, + "step": 25827 + }, + { + "epoch": 0.9, + "learning_rate": 4.535217496984135e-06, + "loss": 0.4418, + "step": 25828 + }, + { + "epoch": 0.9, + "learning_rate": 4.5319425127475115e-06, + "loss": 0.4213, + "step": 25829 + }, + { + "epoch": 0.9, + "learning_rate": 4.5286686839926205e-06, + "loss": 0.3714, + "step": 25830 + }, + { + "epoch": 0.9, + "learning_rate": 4.525396010759087e-06, + "loss": 0.423, + "step": 25831 + }, + { + "epoch": 0.9, + "learning_rate": 4.52212449308651e-06, + "loss": 0.4182, + "step": 25832 + }, + { + "epoch": 0.9, + "learning_rate": 4.518854131014505e-06, + "loss": 0.4313, + "step": 25833 + }, + { + "epoch": 0.9, + "learning_rate": 4.515584924582661e-06, + "loss": 0.4058, + "step": 25834 + }, + { + "epoch": 0.9, + "learning_rate": 4.512316873830513e-06, + "loss": 0.363, + "step": 25835 + }, + { + "epoch": 0.9, + "learning_rate": 4.509049978797653e-06, + "loss": 0.4705, + "step": 25836 + }, + { + "epoch": 0.9, + "learning_rate": 4.505784239523592e-06, + "loss": 0.4297, + "step": 25837 + }, + { + "epoch": 0.9, + "learning_rate": 4.502519656047855e-06, + "loss": 0.4009, + "step": 25838 + }, + { + "epoch": 0.9, + "learning_rate": 4.499256228409976e-06, + "loss": 0.429, + "step": 25839 + }, + { + "epoch": 0.9, + "learning_rate": 4.495993956649447e-06, + "loss": 0.3689, + "step": 25840 + }, + { + "epoch": 0.9, + "learning_rate": 4.492732840805758e-06, + "loss": 0.3928, + "step": 25841 + }, + { + "epoch": 0.9, + "learning_rate": 4.489472880918355e-06, + "loss": 0.4358, + "step": 25842 + }, + { + "epoch": 0.9, + "learning_rate": 4.486214077026707e-06, + "loss": 0.4132, + "step": 25843 + }, + { + "epoch": 0.9, + "learning_rate": 4.482956429170271e-06, + "loss": 0.4155, + "step": 25844 + }, + { + "epoch": 0.9, + "learning_rate": 4.479699937388459e-06, + "loss": 0.4468, + "step": 25845 + }, + { + "epoch": 0.9, + "learning_rate": 4.4764446017206865e-06, + "loss": 0.3735, + "step": 25846 + }, + { + "epoch": 0.9, + "learning_rate": 4.4731904222063635e-06, + "loss": 0.4864, + "step": 25847 + }, + { + "epoch": 0.9, + "learning_rate": 4.46993739888486e-06, + "loss": 0.3579, + "step": 25848 + }, + { + "epoch": 0.9, + "learning_rate": 4.466685531795567e-06, + "loss": 0.3827, + "step": 25849 + }, + { + "epoch": 0.9, + "learning_rate": 4.46343482097783e-06, + "loss": 0.3605, + "step": 25850 + }, + { + "epoch": 0.9, + "learning_rate": 4.460185266471006e-06, + "loss": 0.4251, + "step": 25851 + }, + { + "epoch": 0.9, + "learning_rate": 4.456936868314421e-06, + "loss": 0.3874, + "step": 25852 + }, + { + "epoch": 0.9, + "learning_rate": 4.453689626547363e-06, + "loss": 0.4571, + "step": 25853 + }, + { + "epoch": 0.9, + "learning_rate": 4.450443541209182e-06, + "loss": 0.3935, + "step": 25854 + }, + { + "epoch": 0.9, + "learning_rate": 4.447198612339143e-06, + "loss": 0.3896, + "step": 25855 + }, + { + "epoch": 0.9, + "learning_rate": 4.443954839976517e-06, + "loss": 0.4211, + "step": 25856 + }, + { + "epoch": 0.9, + "learning_rate": 4.44071222416057e-06, + "loss": 0.3878, + "step": 25857 + }, + { + "epoch": 0.9, + "learning_rate": 4.437470764930529e-06, + "loss": 0.4052, + "step": 25858 + }, + { + "epoch": 0.9, + "learning_rate": 4.434230462325673e-06, + "loss": 0.4157, + "step": 25859 + }, + { + "epoch": 0.9, + "learning_rate": 4.4309913163851805e-06, + "loss": 0.3365, + "step": 25860 + }, + { + "epoch": 0.9, + "learning_rate": 4.4277533271482655e-06, + "loss": 0.3929, + "step": 25861 + }, + { + "epoch": 0.91, + "learning_rate": 4.424516494654118e-06, + "loss": 0.3453, + "step": 25862 + }, + { + "epoch": 0.91, + "learning_rate": 4.421280818941919e-06, + "loss": 0.4099, + "step": 25863 + }, + { + "epoch": 0.91, + "learning_rate": 4.418046300050827e-06, + "loss": 0.3593, + "step": 25864 + }, + { + "epoch": 0.91, + "learning_rate": 4.4148129380200075e-06, + "loss": 0.3505, + "step": 25865 + }, + { + "epoch": 0.91, + "learning_rate": 4.411580732888565e-06, + "loss": 0.4373, + "step": 25866 + }, + { + "epoch": 0.91, + "learning_rate": 4.408349684695645e-06, + "loss": 0.3704, + "step": 25867 + }, + { + "epoch": 0.91, + "learning_rate": 4.405119793480339e-06, + "loss": 0.4528, + "step": 25868 + }, + { + "epoch": 0.91, + "learning_rate": 4.4018910592817266e-06, + "loss": 0.3367, + "step": 25869 + }, + { + "epoch": 0.91, + "learning_rate": 4.39866348213892e-06, + "loss": 0.3644, + "step": 25870 + }, + { + "epoch": 0.91, + "learning_rate": 4.395437062090979e-06, + "loss": 0.4133, + "step": 25871 + }, + { + "epoch": 0.91, + "learning_rate": 4.392211799176926e-06, + "loss": 0.393, + "step": 25872 + }, + { + "epoch": 0.91, + "learning_rate": 4.38898769343582e-06, + "loss": 0.3977, + "step": 25873 + }, + { + "epoch": 0.91, + "learning_rate": 4.385764744906673e-06, + "loss": 0.3809, + "step": 25874 + }, + { + "epoch": 0.91, + "learning_rate": 4.382542953628499e-06, + "loss": 0.4408, + "step": 25875 + }, + { + "epoch": 0.91, + "learning_rate": 4.3793223196403e-06, + "loss": 0.4366, + "step": 25876 + }, + { + "epoch": 0.91, + "learning_rate": 4.376102842981045e-06, + "loss": 0.4918, + "step": 25877 + }, + { + "epoch": 0.91, + "learning_rate": 4.372884523689702e-06, + "loss": 0.4294, + "step": 25878 + }, + { + "epoch": 0.91, + "learning_rate": 4.369667361805208e-06, + "loss": 0.3444, + "step": 25879 + }, + { + "epoch": 0.91, + "learning_rate": 4.36645135736653e-06, + "loss": 0.4005, + "step": 25880 + }, + { + "epoch": 0.91, + "learning_rate": 4.363236510412583e-06, + "loss": 0.334, + "step": 25881 + }, + { + "epoch": 0.91, + "learning_rate": 4.3600228209822795e-06, + "loss": 0.4259, + "step": 25882 + }, + { + "epoch": 0.91, + "learning_rate": 4.35681028911451e-06, + "loss": 0.3745, + "step": 25883 + }, + { + "epoch": 0.91, + "learning_rate": 4.3535989148481445e-06, + "loss": 0.3086, + "step": 25884 + }, + { + "epoch": 0.91, + "learning_rate": 4.3503886982220744e-06, + "loss": 0.4299, + "step": 25885 + }, + { + "epoch": 0.91, + "learning_rate": 4.347179639275145e-06, + "loss": 0.4174, + "step": 25886 + }, + { + "epoch": 0.91, + "learning_rate": 4.343971738046193e-06, + "loss": 0.3858, + "step": 25887 + }, + { + "epoch": 0.91, + "learning_rate": 4.340764994574054e-06, + "loss": 0.4099, + "step": 25888 + }, + { + "epoch": 0.91, + "learning_rate": 4.337559408897518e-06, + "loss": 0.4681, + "step": 25889 + }, + { + "epoch": 0.91, + "learning_rate": 4.334354981055411e-06, + "loss": 0.3921, + "step": 25890 + }, + { + "epoch": 0.91, + "learning_rate": 4.331151711086501e-06, + "loss": 0.4205, + "step": 25891 + }, + { + "epoch": 0.91, + "learning_rate": 4.327949599029568e-06, + "loss": 0.385, + "step": 25892 + }, + { + "epoch": 0.91, + "learning_rate": 4.32474864492336e-06, + "loss": 0.465, + "step": 25893 + }, + { + "epoch": 0.91, + "learning_rate": 4.321548848806611e-06, + "loss": 0.3766, + "step": 25894 + }, + { + "epoch": 0.91, + "learning_rate": 4.31835021071808e-06, + "loss": 0.3845, + "step": 25895 + }, + { + "epoch": 0.91, + "learning_rate": 4.3151527306964475e-06, + "loss": 0.3812, + "step": 25896 + }, + { + "epoch": 0.91, + "learning_rate": 4.311956408780437e-06, + "loss": 0.3709, + "step": 25897 + }, + { + "epoch": 0.91, + "learning_rate": 4.308761245008719e-06, + "loss": 0.4067, + "step": 25898 + }, + { + "epoch": 0.91, + "learning_rate": 4.305567239419983e-06, + "loss": 0.4191, + "step": 25899 + }, + { + "epoch": 0.91, + "learning_rate": 4.302374392052855e-06, + "loss": 0.4028, + "step": 25900 + }, + { + "epoch": 0.91, + "learning_rate": 4.299182702946014e-06, + "loss": 0.3373, + "step": 25901 + }, + { + "epoch": 0.91, + "learning_rate": 4.295992172138075e-06, + "loss": 0.3436, + "step": 25902 + }, + { + "epoch": 0.91, + "learning_rate": 4.292802799667661e-06, + "loss": 0.4482, + "step": 25903 + }, + { + "epoch": 0.91, + "learning_rate": 4.289614585573365e-06, + "loss": 0.3764, + "step": 25904 + }, + { + "epoch": 0.91, + "learning_rate": 4.286427529893755e-06, + "loss": 0.4425, + "step": 25905 + }, + { + "epoch": 0.91, + "learning_rate": 4.283241632667456e-06, + "loss": 0.3964, + "step": 25906 + }, + { + "epoch": 0.91, + "learning_rate": 4.280056893932993e-06, + "loss": 0.3432, + "step": 25907 + }, + { + "epoch": 0.91, + "learning_rate": 4.276873313728924e-06, + "loss": 0.4751, + "step": 25908 + }, + { + "epoch": 0.91, + "learning_rate": 4.273690892093773e-06, + "loss": 0.3723, + "step": 25909 + }, + { + "epoch": 0.91, + "learning_rate": 4.270509629066044e-06, + "loss": 0.4098, + "step": 25910 + }, + { + "epoch": 0.91, + "learning_rate": 4.267329524684283e-06, + "loss": 0.3583, + "step": 25911 + }, + { + "epoch": 0.91, + "learning_rate": 4.264150578986947e-06, + "loss": 0.4417, + "step": 25912 + }, + { + "epoch": 0.91, + "learning_rate": 4.260972792012518e-06, + "loss": 0.3778, + "step": 25913 + }, + { + "epoch": 0.91, + "learning_rate": 4.257796163799455e-06, + "loss": 0.3713, + "step": 25914 + }, + { + "epoch": 0.91, + "learning_rate": 4.254620694386202e-06, + "loss": 0.3471, + "step": 25915 + }, + { + "epoch": 0.91, + "learning_rate": 4.251446383811219e-06, + "loss": 0.3524, + "step": 25916 + }, + { + "epoch": 0.91, + "learning_rate": 4.2482732321129094e-06, + "loss": 0.4886, + "step": 25917 + }, + { + "epoch": 0.91, + "learning_rate": 4.245101239329663e-06, + "loss": 0.3937, + "step": 25918 + }, + { + "epoch": 0.91, + "learning_rate": 4.241930405499905e-06, + "loss": 0.4155, + "step": 25919 + }, + { + "epoch": 0.91, + "learning_rate": 4.238760730661962e-06, + "loss": 0.456, + "step": 25920 + }, + { + "epoch": 0.91, + "learning_rate": 4.235592214854256e-06, + "loss": 0.4884, + "step": 25921 + }, + { + "epoch": 0.91, + "learning_rate": 4.232424858115103e-06, + "loss": 0.4724, + "step": 25922 + }, + { + "epoch": 0.91, + "learning_rate": 4.2292586604828484e-06, + "loss": 0.4136, + "step": 25923 + }, + { + "epoch": 0.91, + "learning_rate": 4.226093621995808e-06, + "loss": 0.4431, + "step": 25924 + }, + { + "epoch": 0.91, + "learning_rate": 4.222929742692283e-06, + "loss": 0.3971, + "step": 25925 + }, + { + "epoch": 0.91, + "learning_rate": 4.219767022610588e-06, + "loss": 0.4043, + "step": 25926 + }, + { + "epoch": 0.91, + "learning_rate": 4.2166054617889915e-06, + "loss": 0.4209, + "step": 25927 + }, + { + "epoch": 0.91, + "learning_rate": 4.213445060265753e-06, + "loss": 0.3673, + "step": 25928 + }, + { + "epoch": 0.91, + "learning_rate": 4.21028581807914e-06, + "loss": 0.4339, + "step": 25929 + }, + { + "epoch": 0.91, + "learning_rate": 4.207127735267358e-06, + "loss": 0.4396, + "step": 25930 + }, + { + "epoch": 0.91, + "learning_rate": 4.203970811868663e-06, + "loss": 0.4066, + "step": 25931 + }, + { + "epoch": 0.91, + "learning_rate": 4.200815047921258e-06, + "loss": 0.4607, + "step": 25932 + }, + { + "epoch": 0.91, + "learning_rate": 4.197660443463325e-06, + "loss": 0.3973, + "step": 25933 + }, + { + "epoch": 0.91, + "learning_rate": 4.194506998533054e-06, + "loss": 0.3474, + "step": 25934 + }, + { + "epoch": 0.91, + "learning_rate": 4.191354713168616e-06, + "loss": 0.4549, + "step": 25935 + }, + { + "epoch": 0.91, + "learning_rate": 4.188203587408146e-06, + "loss": 0.3625, + "step": 25936 + }, + { + "epoch": 0.91, + "learning_rate": 4.185053621289814e-06, + "loss": 0.4074, + "step": 25937 + }, + { + "epoch": 0.91, + "learning_rate": 4.1819048148517116e-06, + "loss": 0.3979, + "step": 25938 + }, + { + "epoch": 0.91, + "learning_rate": 4.178757168131975e-06, + "loss": 0.4986, + "step": 25939 + }, + { + "epoch": 0.91, + "learning_rate": 4.1756106811686955e-06, + "loss": 0.4141, + "step": 25940 + }, + { + "epoch": 0.91, + "learning_rate": 4.172465353999944e-06, + "loss": 0.4343, + "step": 25941 + }, + { + "epoch": 0.91, + "learning_rate": 4.169321186663799e-06, + "loss": 0.4338, + "step": 25942 + }, + { + "epoch": 0.91, + "learning_rate": 4.1661781791983215e-06, + "loss": 0.4228, + "step": 25943 + }, + { + "epoch": 0.91, + "learning_rate": 4.163036331641546e-06, + "loss": 0.4791, + "step": 25944 + }, + { + "epoch": 0.91, + "learning_rate": 4.159895644031486e-06, + "loss": 0.4242, + "step": 25945 + }, + { + "epoch": 0.91, + "learning_rate": 4.156756116406169e-06, + "loss": 0.4117, + "step": 25946 + }, + { + "epoch": 0.91, + "learning_rate": 4.153617748803595e-06, + "loss": 0.3884, + "step": 25947 + }, + { + "epoch": 0.91, + "learning_rate": 4.1504805412617475e-06, + "loss": 0.3582, + "step": 25948 + }, + { + "epoch": 0.91, + "learning_rate": 4.147344493818605e-06, + "loss": 0.4465, + "step": 25949 + }, + { + "epoch": 0.91, + "learning_rate": 4.144209606512106e-06, + "loss": 0.3294, + "step": 25950 + }, + { + "epoch": 0.91, + "learning_rate": 4.141075879380196e-06, + "loss": 0.3871, + "step": 25951 + }, + { + "epoch": 0.91, + "learning_rate": 4.137943312460812e-06, + "loss": 0.3739, + "step": 25952 + }, + { + "epoch": 0.91, + "learning_rate": 4.134811905791869e-06, + "loss": 0.3806, + "step": 25953 + }, + { + "epoch": 0.91, + "learning_rate": 4.131681659411269e-06, + "loss": 0.36, + "step": 25954 + }, + { + "epoch": 0.91, + "learning_rate": 4.12855257335687e-06, + "loss": 0.4561, + "step": 25955 + }, + { + "epoch": 0.91, + "learning_rate": 4.125424647666576e-06, + "loss": 0.433, + "step": 25956 + }, + { + "epoch": 0.91, + "learning_rate": 4.122297882378245e-06, + "loss": 0.4628, + "step": 25957 + }, + { + "epoch": 0.91, + "learning_rate": 4.1191722775297145e-06, + "loss": 0.4725, + "step": 25958 + }, + { + "epoch": 0.91, + "learning_rate": 4.11604783315881e-06, + "loss": 0.3748, + "step": 25959 + }, + { + "epoch": 0.91, + "learning_rate": 4.112924549303343e-06, + "loss": 0.4122, + "step": 25960 + }, + { + "epoch": 0.91, + "learning_rate": 4.10980242600113e-06, + "loss": 0.4115, + "step": 25961 + }, + { + "epoch": 0.91, + "learning_rate": 4.106681463289963e-06, + "loss": 0.3217, + "step": 25962 + }, + { + "epoch": 0.91, + "learning_rate": 4.1035616612076e-06, + "loss": 0.4023, + "step": 25963 + }, + { + "epoch": 0.91, + "learning_rate": 4.1004430197918e-06, + "loss": 0.4791, + "step": 25964 + }, + { + "epoch": 0.91, + "learning_rate": 4.09732553908031e-06, + "loss": 0.4217, + "step": 25965 + }, + { + "epoch": 0.91, + "learning_rate": 4.0942092191108785e-06, + "loss": 0.4301, + "step": 25966 + }, + { + "epoch": 0.91, + "learning_rate": 4.091094059921219e-06, + "loss": 0.432, + "step": 25967 + }, + { + "epoch": 0.91, + "learning_rate": 4.087980061549024e-06, + "loss": 0.3878, + "step": 25968 + }, + { + "epoch": 0.91, + "learning_rate": 4.084867224031985e-06, + "loss": 0.4707, + "step": 25969 + }, + { + "epoch": 0.91, + "learning_rate": 4.081755547407784e-06, + "loss": 0.3599, + "step": 25970 + }, + { + "epoch": 0.91, + "learning_rate": 4.078645031714068e-06, + "loss": 0.3926, + "step": 25971 + }, + { + "epoch": 0.91, + "learning_rate": 4.0755356769885065e-06, + "loss": 0.4249, + "step": 25972 + }, + { + "epoch": 0.91, + "learning_rate": 4.072427483268726e-06, + "loss": 0.3868, + "step": 25973 + }, + { + "epoch": 0.91, + "learning_rate": 4.06932045059234e-06, + "loss": 0.3738, + "step": 25974 + }, + { + "epoch": 0.91, + "learning_rate": 4.066214578996952e-06, + "loss": 0.4509, + "step": 25975 + }, + { + "epoch": 0.91, + "learning_rate": 4.063109868520154e-06, + "loss": 0.4361, + "step": 25976 + }, + { + "epoch": 0.91, + "learning_rate": 4.060006319199539e-06, + "loss": 0.428, + "step": 25977 + }, + { + "epoch": 0.91, + "learning_rate": 4.0569039310726534e-06, + "loss": 0.3715, + "step": 25978 + }, + { + "epoch": 0.91, + "learning_rate": 4.053802704177057e-06, + "loss": 0.3903, + "step": 25979 + }, + { + "epoch": 0.91, + "learning_rate": 4.050702638550275e-06, + "loss": 0.4111, + "step": 25980 + }, + { + "epoch": 0.91, + "learning_rate": 4.0476037342298214e-06, + "loss": 0.3599, + "step": 25981 + }, + { + "epoch": 0.91, + "learning_rate": 4.044505991253222e-06, + "loss": 0.4403, + "step": 25982 + }, + { + "epoch": 0.91, + "learning_rate": 4.041409409657982e-06, + "loss": 0.5344, + "step": 25983 + }, + { + "epoch": 0.91, + "learning_rate": 4.038313989481546e-06, + "loss": 0.3836, + "step": 25984 + }, + { + "epoch": 0.91, + "learning_rate": 4.035219730761397e-06, + "loss": 0.4459, + "step": 25985 + }, + { + "epoch": 0.91, + "learning_rate": 4.032126633534972e-06, + "loss": 0.3789, + "step": 25986 + }, + { + "epoch": 0.91, + "learning_rate": 4.029034697839729e-06, + "loss": 0.4175, + "step": 25987 + }, + { + "epoch": 0.91, + "learning_rate": 4.025943923713082e-06, + "loss": 0.3641, + "step": 25988 + }, + { + "epoch": 0.91, + "learning_rate": 4.022854311192437e-06, + "loss": 0.3772, + "step": 25989 + }, + { + "epoch": 0.91, + "learning_rate": 4.019765860315195e-06, + "loss": 0.4971, + "step": 25990 + }, + { + "epoch": 0.91, + "learning_rate": 4.0166785711187145e-06, + "loss": 0.379, + "step": 25991 + }, + { + "epoch": 0.91, + "learning_rate": 4.013592443640391e-06, + "loss": 0.4076, + "step": 25992 + }, + { + "epoch": 0.91, + "learning_rate": 4.010507477917558e-06, + "loss": 0.3966, + "step": 25993 + }, + { + "epoch": 0.91, + "learning_rate": 4.007423673987576e-06, + "loss": 0.3989, + "step": 25994 + }, + { + "epoch": 0.91, + "learning_rate": 4.004341031887737e-06, + "loss": 0.3938, + "step": 25995 + }, + { + "epoch": 0.91, + "learning_rate": 4.001259551655368e-06, + "loss": 0.468, + "step": 25996 + }, + { + "epoch": 0.91, + "learning_rate": 3.998179233327781e-06, + "loss": 0.5021, + "step": 25997 + }, + { + "epoch": 0.91, + "learning_rate": 3.995100076942238e-06, + "loss": 0.4003, + "step": 25998 + }, + { + "epoch": 0.91, + "learning_rate": 3.992022082536007e-06, + "loss": 0.3742, + "step": 25999 + }, + { + "epoch": 0.91, + "learning_rate": 3.9889452501463475e-06, + "loss": 0.4011, + "step": 26000 + }, + { + "epoch": 0.91, + "eval_loss": 0.39831990003585815, + "eval_runtime": 844.2736, + "eval_samples_per_second": 28.498, + "eval_steps_per_second": 14.249, + "step": 26000 + }, + { + "epoch": 0.91, + "learning_rate": 3.985869579810497e-06, + "loss": 0.4147, + "step": 26001 + }, + { + "epoch": 0.91, + "learning_rate": 3.9827950715656814e-06, + "loss": 0.4804, + "step": 26002 + }, + { + "epoch": 0.91, + "learning_rate": 3.979721725449115e-06, + "loss": 0.4641, + "step": 26003 + }, + { + "epoch": 0.91, + "learning_rate": 3.976649541498001e-06, + "loss": 0.4577, + "step": 26004 + }, + { + "epoch": 0.91, + "learning_rate": 3.97357851974951e-06, + "loss": 0.4122, + "step": 26005 + }, + { + "epoch": 0.91, + "learning_rate": 3.970508660240823e-06, + "loss": 0.4458, + "step": 26006 + }, + { + "epoch": 0.91, + "learning_rate": 3.967439963009078e-06, + "loss": 0.3873, + "step": 26007 + }, + { + "epoch": 0.91, + "learning_rate": 3.964372428091445e-06, + "loss": 0.3583, + "step": 26008 + }, + { + "epoch": 0.91, + "learning_rate": 3.961306055525027e-06, + "loss": 0.3815, + "step": 26009 + }, + { + "epoch": 0.91, + "learning_rate": 3.95824084534695e-06, + "loss": 0.367, + "step": 26010 + }, + { + "epoch": 0.91, + "learning_rate": 3.9551767975943175e-06, + "loss": 0.428, + "step": 26011 + }, + { + "epoch": 0.91, + "learning_rate": 3.952113912304178e-06, + "loss": 0.3556, + "step": 26012 + }, + { + "epoch": 0.91, + "learning_rate": 3.949052189513658e-06, + "loss": 0.4278, + "step": 26013 + }, + { + "epoch": 0.91, + "learning_rate": 3.945991629259782e-06, + "loss": 0.4446, + "step": 26014 + }, + { + "epoch": 0.91, + "learning_rate": 3.942932231579599e-06, + "loss": 0.3794, + "step": 26015 + }, + { + "epoch": 0.91, + "learning_rate": 3.939873996510135e-06, + "loss": 0.4296, + "step": 26016 + }, + { + "epoch": 0.91, + "learning_rate": 3.936816924088393e-06, + "loss": 0.3298, + "step": 26017 + }, + { + "epoch": 0.91, + "learning_rate": 3.933761014351401e-06, + "loss": 0.3919, + "step": 26018 + }, + { + "epoch": 0.91, + "learning_rate": 3.930706267336137e-06, + "loss": 0.3971, + "step": 26019 + }, + { + "epoch": 0.91, + "learning_rate": 3.927652683079575e-06, + "loss": 0.4276, + "step": 26020 + }, + { + "epoch": 0.91, + "learning_rate": 3.924600261618661e-06, + "loss": 0.3408, + "step": 26021 + }, + { + "epoch": 0.91, + "learning_rate": 3.9215490029903324e-06, + "loss": 0.3514, + "step": 26022 + }, + { + "epoch": 0.91, + "learning_rate": 3.918498907231538e-06, + "loss": 0.3797, + "step": 26023 + }, + { + "epoch": 0.91, + "learning_rate": 3.915449974379204e-06, + "loss": 0.4521, + "step": 26024 + }, + { + "epoch": 0.91, + "learning_rate": 3.912402204470212e-06, + "loss": 0.4035, + "step": 26025 + }, + { + "epoch": 0.91, + "learning_rate": 3.909355597541453e-06, + "loss": 0.4556, + "step": 26026 + }, + { + "epoch": 0.91, + "learning_rate": 3.9063101536297996e-06, + "loss": 0.4358, + "step": 26027 + }, + { + "epoch": 0.91, + "learning_rate": 3.903265872772133e-06, + "loss": 0.3983, + "step": 26028 + }, + { + "epoch": 0.91, + "learning_rate": 3.900222755005267e-06, + "loss": 0.4364, + "step": 26029 + }, + { + "epoch": 0.91, + "learning_rate": 3.897180800366063e-06, + "loss": 0.4335, + "step": 26030 + }, + { + "epoch": 0.91, + "learning_rate": 3.894140008891323e-06, + "loss": 0.4356, + "step": 26031 + }, + { + "epoch": 0.91, + "learning_rate": 3.89110038061784e-06, + "loss": 0.4357, + "step": 26032 + }, + { + "epoch": 0.91, + "learning_rate": 3.88806191558243e-06, + "loss": 0.472, + "step": 26033 + }, + { + "epoch": 0.91, + "learning_rate": 3.885024613821853e-06, + "loss": 0.4407, + "step": 26034 + }, + { + "epoch": 0.91, + "learning_rate": 3.8819884753728665e-06, + "loss": 0.4152, + "step": 26035 + }, + { + "epoch": 0.91, + "learning_rate": 3.878953500272231e-06, + "loss": 0.4125, + "step": 26036 + }, + { + "epoch": 0.91, + "learning_rate": 3.8759196885566725e-06, + "loss": 0.4715, + "step": 26037 + }, + { + "epoch": 0.91, + "learning_rate": 3.8728870402628955e-06, + "loss": 0.42, + "step": 26038 + }, + { + "epoch": 0.91, + "learning_rate": 3.869855555427637e-06, + "loss": 0.3774, + "step": 26039 + }, + { + "epoch": 0.91, + "learning_rate": 3.866825234087568e-06, + "loss": 0.4362, + "step": 26040 + }, + { + "epoch": 0.91, + "learning_rate": 3.863796076279369e-06, + "loss": 0.3545, + "step": 26041 + }, + { + "epoch": 0.91, + "learning_rate": 3.860768082039701e-06, + "loss": 0.3513, + "step": 26042 + }, + { + "epoch": 0.91, + "learning_rate": 3.857741251405211e-06, + "loss": 0.3851, + "step": 26043 + }, + { + "epoch": 0.91, + "learning_rate": 3.854715584412538e-06, + "loss": 0.4123, + "step": 26044 + }, + { + "epoch": 0.91, + "learning_rate": 3.8516910810983075e-06, + "loss": 0.4759, + "step": 26045 + }, + { + "epoch": 0.91, + "learning_rate": 3.848667741499123e-06, + "loss": 0.3565, + "step": 26046 + }, + { + "epoch": 0.91, + "learning_rate": 3.8456455656515675e-06, + "loss": 0.4174, + "step": 26047 + }, + { + "epoch": 0.91, + "learning_rate": 3.8426245535922224e-06, + "loss": 0.4181, + "step": 26048 + }, + { + "epoch": 0.91, + "learning_rate": 3.839604705357669e-06, + "loss": 0.4201, + "step": 26049 + }, + { + "epoch": 0.91, + "learning_rate": 3.836586020984434e-06, + "loss": 0.3553, + "step": 26050 + }, + { + "epoch": 0.91, + "learning_rate": 3.833568500509066e-06, + "loss": 0.4151, + "step": 26051 + }, + { + "epoch": 0.91, + "learning_rate": 3.830552143968092e-06, + "loss": 0.4428, + "step": 26052 + }, + { + "epoch": 0.91, + "learning_rate": 3.827536951398003e-06, + "loss": 0.4339, + "step": 26053 + }, + { + "epoch": 0.91, + "learning_rate": 3.824522922835305e-06, + "loss": 0.4087, + "step": 26054 + }, + { + "epoch": 0.91, + "learning_rate": 3.82151005831648e-06, + "loss": 0.3912, + "step": 26055 + }, + { + "epoch": 0.91, + "learning_rate": 3.818498357877998e-06, + "loss": 0.3133, + "step": 26056 + }, + { + "epoch": 0.91, + "learning_rate": 3.815487821556285e-06, + "loss": 0.4035, + "step": 26057 + }, + { + "epoch": 0.91, + "learning_rate": 3.8124784493878017e-06, + "loss": 0.4325, + "step": 26058 + }, + { + "epoch": 0.91, + "learning_rate": 3.8094702414089632e-06, + "loss": 0.4796, + "step": 26059 + }, + { + "epoch": 0.91, + "learning_rate": 3.8064631976561847e-06, + "loss": 0.3256, + "step": 26060 + }, + { + "epoch": 0.91, + "learning_rate": 3.8034573181658593e-06, + "loss": 0.3483, + "step": 26061 + }, + { + "epoch": 0.91, + "learning_rate": 3.800452602974369e-06, + "loss": 0.4988, + "step": 26062 + }, + { + "epoch": 0.91, + "learning_rate": 3.7974490521180627e-06, + "loss": 0.4988, + "step": 26063 + }, + { + "epoch": 0.91, + "learning_rate": 3.794446665633322e-06, + "loss": 0.3489, + "step": 26064 + }, + { + "epoch": 0.91, + "learning_rate": 3.791445443556474e-06, + "loss": 0.4074, + "step": 26065 + }, + { + "epoch": 0.91, + "learning_rate": 3.7884453859238447e-06, + "loss": 0.3943, + "step": 26066 + }, + { + "epoch": 0.91, + "learning_rate": 3.785446492771738e-06, + "loss": 0.3385, + "step": 26067 + }, + { + "epoch": 0.91, + "learning_rate": 3.7824487641364594e-06, + "loss": 0.417, + "step": 26068 + }, + { + "epoch": 0.91, + "learning_rate": 3.7794522000542785e-06, + "loss": 0.3667, + "step": 26069 + }, + { + "epoch": 0.91, + "learning_rate": 3.776456800561479e-06, + "loss": 0.4558, + "step": 26070 + }, + { + "epoch": 0.91, + "learning_rate": 3.773462565694308e-06, + "loss": 0.5831, + "step": 26071 + }, + { + "epoch": 0.91, + "learning_rate": 3.770469495489004e-06, + "loss": 0.4498, + "step": 26072 + }, + { + "epoch": 0.91, + "learning_rate": 3.767477589981805e-06, + "loss": 0.3422, + "step": 26073 + }, + { + "epoch": 0.91, + "learning_rate": 3.7644868492088925e-06, + "loss": 0.4086, + "step": 26074 + }, + { + "epoch": 0.91, + "learning_rate": 3.7614972732065046e-06, + "loss": 0.4295, + "step": 26075 + }, + { + "epoch": 0.91, + "learning_rate": 3.758508862010801e-06, + "loss": 0.3331, + "step": 26076 + }, + { + "epoch": 0.91, + "learning_rate": 3.755521615657953e-06, + "loss": 0.4031, + "step": 26077 + }, + { + "epoch": 0.91, + "learning_rate": 3.752535534184121e-06, + "loss": 0.3901, + "step": 26078 + }, + { + "epoch": 0.91, + "learning_rate": 3.7495506176254415e-06, + "loss": 0.4875, + "step": 26079 + }, + { + "epoch": 0.91, + "learning_rate": 3.746566866018042e-06, + "loss": 0.37, + "step": 26080 + }, + { + "epoch": 0.91, + "learning_rate": 3.743584279398049e-06, + "loss": 0.3798, + "step": 26081 + }, + { + "epoch": 0.91, + "learning_rate": 3.740602857801556e-06, + "loss": 0.4524, + "step": 26082 + }, + { + "epoch": 0.91, + "learning_rate": 3.7376226012646454e-06, + "loss": 0.3766, + "step": 26083 + }, + { + "epoch": 0.91, + "learning_rate": 3.7346435098233655e-06, + "loss": 0.3795, + "step": 26084 + }, + { + "epoch": 0.91, + "learning_rate": 3.7316655835138216e-06, + "loss": 0.3975, + "step": 26085 + }, + { + "epoch": 0.91, + "learning_rate": 3.7286888223720286e-06, + "loss": 0.4445, + "step": 26086 + }, + { + "epoch": 0.91, + "learning_rate": 3.7257132264340024e-06, + "loss": 0.4524, + "step": 26087 + }, + { + "epoch": 0.91, + "learning_rate": 3.7227387957357694e-06, + "loss": 0.4309, + "step": 26088 + }, + { + "epoch": 0.91, + "learning_rate": 3.719765530313335e-06, + "loss": 0.3532, + "step": 26089 + }, + { + "epoch": 0.91, + "learning_rate": 3.716793430202692e-06, + "loss": 0.474, + "step": 26090 + }, + { + "epoch": 0.91, + "learning_rate": 3.7138224954398006e-06, + "loss": 0.461, + "step": 26091 + }, + { + "epoch": 0.91, + "learning_rate": 3.7108527260606206e-06, + "loss": 0.4343, + "step": 26092 + }, + { + "epoch": 0.91, + "learning_rate": 3.7078841221010797e-06, + "loss": 0.4183, + "step": 26093 + }, + { + "epoch": 0.91, + "learning_rate": 3.7049166835971484e-06, + "loss": 0.4217, + "step": 26094 + }, + { + "epoch": 0.91, + "learning_rate": 3.70195041058472e-06, + "loss": 0.4445, + "step": 26095 + }, + { + "epoch": 0.91, + "learning_rate": 3.6989853030996892e-06, + "loss": 0.5053, + "step": 26096 + }, + { + "epoch": 0.91, + "learning_rate": 3.6960213611779482e-06, + "loss": 0.3863, + "step": 26097 + }, + { + "epoch": 0.91, + "learning_rate": 3.693058584855369e-06, + "loss": 0.4439, + "step": 26098 + }, + { + "epoch": 0.91, + "learning_rate": 3.6900969741678225e-06, + "loss": 0.5021, + "step": 26099 + }, + { + "epoch": 0.91, + "learning_rate": 3.687136529151158e-06, + "loss": 0.5387, + "step": 26100 + }, + { + "epoch": 0.91, + "learning_rate": 3.684177249841181e-06, + "loss": 0.3621, + "step": 26101 + }, + { + "epoch": 0.91, + "learning_rate": 3.681219136273728e-06, + "loss": 0.384, + "step": 26102 + }, + { + "epoch": 0.91, + "learning_rate": 3.6782621884846045e-06, + "loss": 0.4826, + "step": 26103 + }, + { + "epoch": 0.91, + "learning_rate": 3.675306406509571e-06, + "loss": 0.4398, + "step": 26104 + }, + { + "epoch": 0.91, + "learning_rate": 3.672351790384443e-06, + "loss": 0.3655, + "step": 26105 + }, + { + "epoch": 0.91, + "learning_rate": 3.669398340144958e-06, + "loss": 0.4146, + "step": 26106 + }, + { + "epoch": 0.91, + "learning_rate": 3.6664460558268664e-06, + "loss": 0.4477, + "step": 26107 + }, + { + "epoch": 0.91, + "learning_rate": 3.6634949374659057e-06, + "loss": 0.4618, + "step": 26108 + }, + { + "epoch": 0.91, + "learning_rate": 3.660544985097769e-06, + "loss": 0.5243, + "step": 26109 + }, + { + "epoch": 0.91, + "learning_rate": 3.657596198758195e-06, + "loss": 0.4588, + "step": 26110 + }, + { + "epoch": 0.91, + "learning_rate": 3.6546485784828553e-06, + "loss": 0.3624, + "step": 26111 + }, + { + "epoch": 0.91, + "learning_rate": 3.6517021243074435e-06, + "loss": 0.3849, + "step": 26112 + }, + { + "epoch": 0.91, + "learning_rate": 3.6487568362675974e-06, + "loss": 0.3898, + "step": 26113 + }, + { + "epoch": 0.91, + "learning_rate": 3.645812714398966e-06, + "loss": 0.4437, + "step": 26114 + }, + { + "epoch": 0.91, + "learning_rate": 3.6428697587371995e-06, + "loss": 0.431, + "step": 26115 + }, + { + "epoch": 0.91, + "learning_rate": 3.6399279693179133e-06, + "loss": 0.386, + "step": 26116 + }, + { + "epoch": 0.91, + "learning_rate": 3.6369873461767124e-06, + "loss": 0.4676, + "step": 26117 + }, + { + "epoch": 0.91, + "learning_rate": 3.6340478893491904e-06, + "loss": 0.39, + "step": 26118 + }, + { + "epoch": 0.91, + "learning_rate": 3.6311095988709076e-06, + "loss": 0.4357, + "step": 26119 + }, + { + "epoch": 0.91, + "learning_rate": 3.6281724747774472e-06, + "loss": 0.4642, + "step": 26120 + }, + { + "epoch": 0.91, + "learning_rate": 3.6252365171043467e-06, + "loss": 0.4177, + "step": 26121 + }, + { + "epoch": 0.91, + "learning_rate": 3.6223017258871563e-06, + "loss": 0.4004, + "step": 26122 + }, + { + "epoch": 0.91, + "learning_rate": 3.619368101161369e-06, + "loss": 0.3093, + "step": 26123 + }, + { + "epoch": 0.91, + "learning_rate": 3.6164356429625125e-06, + "loss": 0.3864, + "step": 26124 + }, + { + "epoch": 0.91, + "learning_rate": 3.613504351326069e-06, + "loss": 0.4244, + "step": 26125 + }, + { + "epoch": 0.91, + "learning_rate": 3.610574226287533e-06, + "loss": 0.3949, + "step": 26126 + }, + { + "epoch": 0.91, + "learning_rate": 3.6076452678823648e-06, + "loss": 0.4403, + "step": 26127 + }, + { + "epoch": 0.91, + "learning_rate": 3.6047174761460025e-06, + "loss": 0.392, + "step": 26128 + }, + { + "epoch": 0.91, + "learning_rate": 3.6017908511138733e-06, + "loss": 0.4545, + "step": 26129 + }, + { + "epoch": 0.91, + "learning_rate": 3.5988653928214265e-06, + "loss": 0.3872, + "step": 26130 + }, + { + "epoch": 0.91, + "learning_rate": 3.5959411013040455e-06, + "loss": 0.4462, + "step": 26131 + }, + { + "epoch": 0.91, + "learning_rate": 3.593017976597146e-06, + "loss": 0.4082, + "step": 26132 + }, + { + "epoch": 0.91, + "learning_rate": 3.5900960187361e-06, + "loss": 0.4511, + "step": 26133 + }, + { + "epoch": 0.91, + "learning_rate": 3.5871752277562566e-06, + "loss": 0.4063, + "step": 26134 + }, + { + "epoch": 0.91, + "learning_rate": 3.5842556036929874e-06, + "loss": 0.4304, + "step": 26135 + }, + { + "epoch": 0.91, + "learning_rate": 3.5813371465816315e-06, + "loss": 0.4647, + "step": 26136 + }, + { + "epoch": 0.91, + "learning_rate": 3.5784198564574934e-06, + "loss": 0.4292, + "step": 26137 + }, + { + "epoch": 0.91, + "learning_rate": 3.5755037333558896e-06, + "loss": 0.4285, + "step": 26138 + }, + { + "epoch": 0.91, + "learning_rate": 3.5725887773121246e-06, + "loss": 0.3977, + "step": 26139 + }, + { + "epoch": 0.91, + "learning_rate": 3.56967498836146e-06, + "loss": 0.3907, + "step": 26140 + }, + { + "epoch": 0.91, + "learning_rate": 3.566762366539178e-06, + "loss": 0.4714, + "step": 26141 + }, + { + "epoch": 0.91, + "learning_rate": 3.5638509118805287e-06, + "loss": 0.4355, + "step": 26142 + }, + { + "epoch": 0.91, + "learning_rate": 3.56094062442075e-06, + "loss": 0.3326, + "step": 26143 + }, + { + "epoch": 0.91, + "learning_rate": 3.5580315041950696e-06, + "loss": 0.4086, + "step": 26144 + }, + { + "epoch": 0.91, + "learning_rate": 3.5551235512386817e-06, + "loss": 0.4355, + "step": 26145 + }, + { + "epoch": 0.91, + "learning_rate": 3.552216765586791e-06, + "loss": 0.4854, + "step": 26146 + }, + { + "epoch": 0.91, + "learning_rate": 3.549311147274592e-06, + "loss": 0.3884, + "step": 26147 + }, + { + "epoch": 0.92, + "learning_rate": 3.5464066963372455e-06, + "loss": 0.4498, + "step": 26148 + }, + { + "epoch": 0.92, + "learning_rate": 3.54350341280989e-06, + "loss": 0.4023, + "step": 26149 + }, + { + "epoch": 0.92, + "learning_rate": 3.5406012967276746e-06, + "loss": 0.3837, + "step": 26150 + }, + { + "epoch": 0.92, + "learning_rate": 3.5377003481257277e-06, + "loss": 0.5413, + "step": 26151 + }, + { + "epoch": 0.92, + "learning_rate": 3.5348005670391648e-06, + "loss": 0.3628, + "step": 26152 + }, + { + "epoch": 0.92, + "learning_rate": 3.5319019535030696e-06, + "loss": 0.469, + "step": 26153 + }, + { + "epoch": 0.92, + "learning_rate": 3.529004507552547e-06, + "loss": 0.4266, + "step": 26154 + }, + { + "epoch": 0.92, + "learning_rate": 3.5261082292226245e-06, + "loss": 0.4168, + "step": 26155 + }, + { + "epoch": 0.92, + "learning_rate": 3.5232131185484076e-06, + "loss": 0.4129, + "step": 26156 + }, + { + "epoch": 0.92, + "learning_rate": 3.5203191755649013e-06, + "loss": 0.3956, + "step": 26157 + }, + { + "epoch": 0.92, + "learning_rate": 3.5174264003071554e-06, + "loss": 0.3657, + "step": 26158 + }, + { + "epoch": 0.92, + "learning_rate": 3.5145347928101535e-06, + "loss": 0.3626, + "step": 26159 + }, + { + "epoch": 0.92, + "learning_rate": 3.5116443531089117e-06, + "loss": 0.377, + "step": 26160 + }, + { + "epoch": 0.92, + "learning_rate": 3.508755081238424e-06, + "loss": 0.3779, + "step": 26161 + }, + { + "epoch": 0.92, + "learning_rate": 3.5058669772336406e-06, + "loss": 0.3985, + "step": 26162 + }, + { + "epoch": 0.92, + "learning_rate": 3.5029800411295334e-06, + "loss": 0.5006, + "step": 26163 + }, + { + "epoch": 0.92, + "learning_rate": 3.5000942729610297e-06, + "loss": 0.3806, + "step": 26164 + }, + { + "epoch": 0.92, + "learning_rate": 3.4972096727630468e-06, + "loss": 0.3374, + "step": 26165 + }, + { + "epoch": 0.92, + "learning_rate": 3.4943262405705335e-06, + "loss": 0.4452, + "step": 26166 + }, + { + "epoch": 0.92, + "learning_rate": 3.4914439764183737e-06, + "loss": 0.4438, + "step": 26167 + }, + { + "epoch": 0.92, + "learning_rate": 3.4885628803414394e-06, + "loss": 0.3329, + "step": 26168 + }, + { + "epoch": 0.92, + "learning_rate": 3.485682952374614e-06, + "loss": 0.4622, + "step": 26169 + }, + { + "epoch": 0.92, + "learning_rate": 3.4828041925527465e-06, + "loss": 0.4776, + "step": 26170 + }, + { + "epoch": 0.92, + "learning_rate": 3.4799266009106767e-06, + "loss": 0.4152, + "step": 26171 + }, + { + "epoch": 0.92, + "learning_rate": 3.477050177483254e-06, + "loss": 0.3817, + "step": 26172 + }, + { + "epoch": 0.92, + "learning_rate": 3.4741749223052732e-06, + "loss": 0.402, + "step": 26173 + }, + { + "epoch": 0.92, + "learning_rate": 3.4713008354115393e-06, + "loss": 0.5078, + "step": 26174 + }, + { + "epoch": 0.92, + "learning_rate": 3.468427916836847e-06, + "loss": 0.3748, + "step": 26175 + }, + { + "epoch": 0.92, + "learning_rate": 3.465556166615935e-06, + "loss": 0.453, + "step": 26176 + }, + { + "epoch": 0.92, + "learning_rate": 3.4626855847836094e-06, + "loss": 0.3959, + "step": 26177 + }, + { + "epoch": 0.92, + "learning_rate": 3.4598161713745857e-06, + "loss": 0.4463, + "step": 26178 + }, + { + "epoch": 0.92, + "learning_rate": 3.4569479264235926e-06, + "loss": 0.3955, + "step": 26179 + }, + { + "epoch": 0.92, + "learning_rate": 3.4540808499653575e-06, + "loss": 0.451, + "step": 26180 + }, + { + "epoch": 0.92, + "learning_rate": 3.451214942034564e-06, + "loss": 0.4073, + "step": 26181 + }, + { + "epoch": 0.92, + "learning_rate": 3.4483502026659287e-06, + "loss": 0.4196, + "step": 26182 + }, + { + "epoch": 0.92, + "learning_rate": 3.4454866318940905e-06, + "loss": 0.4471, + "step": 26183 + }, + { + "epoch": 0.92, + "learning_rate": 3.4426242297537327e-06, + "loss": 0.3917, + "step": 26184 + }, + { + "epoch": 0.92, + "learning_rate": 3.4397629962794943e-06, + "loss": 0.4301, + "step": 26185 + }, + { + "epoch": 0.92, + "learning_rate": 3.436902931505981e-06, + "loss": 0.4166, + "step": 26186 + }, + { + "epoch": 0.92, + "learning_rate": 3.434044035467854e-06, + "loss": 0.5154, + "step": 26187 + }, + { + "epoch": 0.92, + "learning_rate": 3.4311863081996852e-06, + "loss": 0.3765, + "step": 26188 + }, + { + "epoch": 0.92, + "learning_rate": 3.428329749736059e-06, + "loss": 0.3728, + "step": 26189 + }, + { + "epoch": 0.92, + "learning_rate": 3.4254743601115803e-06, + "loss": 0.4004, + "step": 26190 + }, + { + "epoch": 0.92, + "learning_rate": 3.422620139360766e-06, + "loss": 0.3473, + "step": 26191 + }, + { + "epoch": 0.92, + "learning_rate": 3.4197670875181885e-06, + "loss": 0.3927, + "step": 26192 + }, + { + "epoch": 0.92, + "learning_rate": 3.4169152046183874e-06, + "loss": 0.392, + "step": 26193 + }, + { + "epoch": 0.92, + "learning_rate": 3.4140644906958564e-06, + "loss": 0.4422, + "step": 26194 + }, + { + "epoch": 0.92, + "learning_rate": 3.4112149457851127e-06, + "loss": 0.4137, + "step": 26195 + }, + { + "epoch": 0.92, + "learning_rate": 3.40836656992064e-06, + "loss": 0.346, + "step": 26196 + }, + { + "epoch": 0.92, + "learning_rate": 3.405519363136911e-06, + "loss": 0.3962, + "step": 26197 + }, + { + "epoch": 0.92, + "learning_rate": 3.4026733254684085e-06, + "loss": 0.4038, + "step": 26198 + }, + { + "epoch": 0.92, + "learning_rate": 3.3998284569495497e-06, + "loss": 0.4503, + "step": 26199 + }, + { + "epoch": 0.92, + "learning_rate": 3.396984757614774e-06, + "loss": 0.4219, + "step": 26200 + }, + { + "epoch": 0.92, + "eval_loss": 0.3981442153453827, + "eval_runtime": 848.677, + "eval_samples_per_second": 28.35, + "eval_steps_per_second": 14.175, + "step": 26200 + }, + { + "epoch": 0.92, + "learning_rate": 3.394142227498498e-06, + "loss": 0.3596, + "step": 26201 + }, + { + "epoch": 0.92, + "learning_rate": 3.3913008666351498e-06, + "loss": 0.4678, + "step": 26202 + }, + { + "epoch": 0.92, + "learning_rate": 3.3884606750590907e-06, + "loss": 0.4364, + "step": 26203 + }, + { + "epoch": 0.92, + "learning_rate": 3.3856216528047156e-06, + "loss": 0.4171, + "step": 26204 + }, + { + "epoch": 0.92, + "learning_rate": 3.382783799906375e-06, + "loss": 0.4881, + "step": 26205 + }, + { + "epoch": 0.92, + "learning_rate": 3.3799471163984187e-06, + "loss": 0.3505, + "step": 26206 + }, + { + "epoch": 0.92, + "learning_rate": 3.3771116023151638e-06, + "loss": 0.4845, + "step": 26207 + }, + { + "epoch": 0.92, + "learning_rate": 3.3742772576909608e-06, + "loss": 0.4074, + "step": 26208 + }, + { + "epoch": 0.92, + "learning_rate": 3.3714440825601044e-06, + "loss": 0.3783, + "step": 26209 + }, + { + "epoch": 0.92, + "learning_rate": 3.3686120769568787e-06, + "loss": 0.3684, + "step": 26210 + }, + { + "epoch": 0.92, + "learning_rate": 3.3657812409155665e-06, + "loss": 0.4917, + "step": 26211 + }, + { + "epoch": 0.92, + "learning_rate": 3.3629515744704075e-06, + "loss": 0.393, + "step": 26212 + }, + { + "epoch": 0.92, + "learning_rate": 3.3601230776556856e-06, + "loss": 0.4227, + "step": 26213 + }, + { + "epoch": 0.92, + "learning_rate": 3.3572957505056178e-06, + "loss": 0.3841, + "step": 26214 + }, + { + "epoch": 0.92, + "learning_rate": 3.3544695930544214e-06, + "loss": 0.4059, + "step": 26215 + }, + { + "epoch": 0.92, + "learning_rate": 3.3516446053363015e-06, + "loss": 0.5394, + "step": 26216 + }, + { + "epoch": 0.92, + "learning_rate": 3.348820787385454e-06, + "loss": 0.4173, + "step": 26217 + }, + { + "epoch": 0.92, + "learning_rate": 3.3459981392360617e-06, + "loss": 0.4391, + "step": 26218 + }, + { + "epoch": 0.92, + "learning_rate": 3.3431766609222982e-06, + "loss": 0.4391, + "step": 26219 + }, + { + "epoch": 0.92, + "learning_rate": 3.340356352478291e-06, + "loss": 0.3789, + "step": 26220 + }, + { + "epoch": 0.92, + "learning_rate": 3.3375372139381576e-06, + "loss": 0.4105, + "step": 26221 + }, + { + "epoch": 0.92, + "learning_rate": 3.3347192453360708e-06, + "loss": 0.4083, + "step": 26222 + }, + { + "epoch": 0.92, + "learning_rate": 3.331902446706092e-06, + "loss": 0.427, + "step": 26223 + }, + { + "epoch": 0.92, + "learning_rate": 3.3290868180823497e-06, + "loss": 0.4321, + "step": 26224 + }, + { + "epoch": 0.92, + "learning_rate": 3.3262723594988944e-06, + "loss": 0.3861, + "step": 26225 + }, + { + "epoch": 0.92, + "learning_rate": 3.3234590709897872e-06, + "loss": 0.387, + "step": 26226 + }, + { + "epoch": 0.92, + "learning_rate": 3.3206469525891128e-06, + "loss": 0.3828, + "step": 26227 + }, + { + "epoch": 0.92, + "learning_rate": 3.3178360043308765e-06, + "loss": 0.4125, + "step": 26228 + }, + { + "epoch": 0.92, + "learning_rate": 3.3150262262491184e-06, + "loss": 0.446, + "step": 26229 + }, + { + "epoch": 0.92, + "learning_rate": 3.312217618377822e-06, + "loss": 0.3569, + "step": 26230 + }, + { + "epoch": 0.92, + "learning_rate": 3.309410180751005e-06, + "loss": 0.4119, + "step": 26231 + }, + { + "epoch": 0.92, + "learning_rate": 3.3066039134026396e-06, + "loss": 0.3682, + "step": 26232 + }, + { + "epoch": 0.92, + "learning_rate": 3.3037988163666877e-06, + "loss": 0.3676, + "step": 26233 + }, + { + "epoch": 0.92, + "learning_rate": 3.3009948896771e-06, + "loss": 0.3595, + "step": 26234 + }, + { + "epoch": 0.92, + "learning_rate": 3.2981921333678166e-06, + "loss": 0.4451, + "step": 26235 + }, + { + "epoch": 0.92, + "learning_rate": 3.295390547472754e-06, + "loss": 0.387, + "step": 26236 + }, + { + "epoch": 0.92, + "learning_rate": 3.29259013202583e-06, + "loss": 0.4715, + "step": 26237 + }, + { + "epoch": 0.92, + "learning_rate": 3.2897908870609397e-06, + "loss": 0.4028, + "step": 26238 + }, + { + "epoch": 0.92, + "learning_rate": 3.2869928126119553e-06, + "loss": 0.3819, + "step": 26239 + }, + { + "epoch": 0.92, + "learning_rate": 3.2841959087127505e-06, + "loss": 0.3572, + "step": 26240 + }, + { + "epoch": 0.92, + "learning_rate": 3.281400175397165e-06, + "loss": 0.3987, + "step": 26241 + }, + { + "epoch": 0.92, + "learning_rate": 3.278605612699037e-06, + "loss": 0.4286, + "step": 26242 + }, + { + "epoch": 0.92, + "learning_rate": 3.275812220652208e-06, + "loss": 0.4188, + "step": 26243 + }, + { + "epoch": 0.92, + "learning_rate": 3.2730199992904832e-06, + "loss": 0.4289, + "step": 26244 + }, + { + "epoch": 0.92, + "learning_rate": 3.270228948647647e-06, + "loss": 0.4599, + "step": 26245 + }, + { + "epoch": 0.92, + "learning_rate": 3.267439068757483e-06, + "loss": 0.4366, + "step": 26246 + }, + { + "epoch": 0.92, + "learning_rate": 3.2646503596537424e-06, + "loss": 0.4323, + "step": 26247 + }, + { + "epoch": 0.92, + "learning_rate": 3.2618628213702095e-06, + "loss": 0.3285, + "step": 26248 + }, + { + "epoch": 0.92, + "learning_rate": 3.2590764539406126e-06, + "loss": 0.3498, + "step": 26249 + }, + { + "epoch": 0.92, + "learning_rate": 3.256291257398669e-06, + "loss": 0.4318, + "step": 26250 + }, + { + "epoch": 0.92, + "learning_rate": 3.2535072317780857e-06, + "loss": 0.4784, + "step": 26251 + }, + { + "epoch": 0.92, + "learning_rate": 3.2507243771125574e-06, + "loss": 0.3798, + "step": 26252 + }, + { + "epoch": 0.92, + "learning_rate": 3.2479426934357904e-06, + "loss": 0.3589, + "step": 26253 + }, + { + "epoch": 0.92, + "learning_rate": 3.2451621807814246e-06, + "loss": 0.4269, + "step": 26254 + }, + { + "epoch": 0.92, + "learning_rate": 3.2423828391831334e-06, + "loss": 0.4229, + "step": 26255 + }, + { + "epoch": 0.92, + "learning_rate": 3.239604668674545e-06, + "loss": 0.4757, + "step": 26256 + }, + { + "epoch": 0.92, + "learning_rate": 3.2368276692892664e-06, + "loss": 0.3834, + "step": 26257 + }, + { + "epoch": 0.92, + "learning_rate": 3.2340518410609476e-06, + "loss": 0.4281, + "step": 26258 + }, + { + "epoch": 0.92, + "learning_rate": 3.2312771840231627e-06, + "loss": 0.4286, + "step": 26259 + }, + { + "epoch": 0.92, + "learning_rate": 3.228503698209495e-06, + "loss": 0.4411, + "step": 26260 + }, + { + "epoch": 0.92, + "learning_rate": 3.2257313836535184e-06, + "loss": 0.3909, + "step": 26261 + }, + { + "epoch": 0.92, + "learning_rate": 3.2229602403887725e-06, + "loss": 0.4592, + "step": 26262 + }, + { + "epoch": 0.92, + "learning_rate": 3.2201902684488304e-06, + "loss": 0.4765, + "step": 26263 + }, + { + "epoch": 0.92, + "learning_rate": 3.2174214678671876e-06, + "loss": 0.4332, + "step": 26264 + }, + { + "epoch": 0.92, + "learning_rate": 3.2146538386773616e-06, + "loss": 0.3966, + "step": 26265 + }, + { + "epoch": 0.92, + "learning_rate": 3.211887380912859e-06, + "loss": 0.4219, + "step": 26266 + }, + { + "epoch": 0.92, + "learning_rate": 3.209122094607142e-06, + "loss": 0.3514, + "step": 26267 + }, + { + "epoch": 0.92, + "learning_rate": 3.206357979793706e-06, + "loss": 0.471, + "step": 26268 + }, + { + "epoch": 0.92, + "learning_rate": 3.2035950365060017e-06, + "loss": 0.398, + "step": 26269 + }, + { + "epoch": 0.92, + "learning_rate": 3.2008332647774584e-06, + "loss": 0.3822, + "step": 26270 + }, + { + "epoch": 0.92, + "learning_rate": 3.198072664641505e-06, + "loss": 0.4402, + "step": 26271 + }, + { + "epoch": 0.92, + "learning_rate": 3.1953132361315585e-06, + "loss": 0.3276, + "step": 26272 + }, + { + "epoch": 0.92, + "learning_rate": 3.192554979281004e-06, + "loss": 0.394, + "step": 26273 + }, + { + "epoch": 0.92, + "learning_rate": 3.1897978941232477e-06, + "loss": 0.3993, + "step": 26274 + }, + { + "epoch": 0.92, + "learning_rate": 3.187041980691652e-06, + "loss": 0.3425, + "step": 26275 + }, + { + "epoch": 0.92, + "learning_rate": 3.184287239019568e-06, + "loss": 0.4288, + "step": 26276 + }, + { + "epoch": 0.92, + "learning_rate": 3.181533669140346e-06, + "loss": 0.4027, + "step": 26277 + }, + { + "epoch": 0.92, + "learning_rate": 3.1787812710872832e-06, + "loss": 0.4685, + "step": 26278 + }, + { + "epoch": 0.92, + "learning_rate": 3.1760300448937408e-06, + "loss": 0.4731, + "step": 26279 + }, + { + "epoch": 0.92, + "learning_rate": 3.173279990592981e-06, + "loss": 0.4296, + "step": 26280 + }, + { + "epoch": 0.92, + "learning_rate": 3.1705311082182996e-06, + "loss": 0.3967, + "step": 26281 + }, + { + "epoch": 0.92, + "learning_rate": 3.16778339780297e-06, + "loss": 0.4233, + "step": 26282 + }, + { + "epoch": 0.92, + "learning_rate": 3.165036859380244e-06, + "loss": 0.4275, + "step": 26283 + }, + { + "epoch": 0.92, + "learning_rate": 3.162291492983371e-06, + "loss": 0.3875, + "step": 26284 + }, + { + "epoch": 0.92, + "learning_rate": 3.159547298645571e-06, + "loss": 0.4119, + "step": 26285 + }, + { + "epoch": 0.92, + "learning_rate": 3.1568042764000607e-06, + "loss": 0.4086, + "step": 26286 + }, + { + "epoch": 0.92, + "learning_rate": 3.1540624262800467e-06, + "loss": 0.4672, + "step": 26287 + }, + { + "epoch": 0.92, + "learning_rate": 3.151321748318692e-06, + "loss": 0.4235, + "step": 26288 + }, + { + "epoch": 0.92, + "learning_rate": 3.148582242549203e-06, + "loss": 0.3664, + "step": 26289 + }, + { + "epoch": 0.92, + "learning_rate": 3.1458439090047196e-06, + "loss": 0.4444, + "step": 26290 + }, + { + "epoch": 0.92, + "learning_rate": 3.1431067477183717e-06, + "loss": 0.4129, + "step": 26291 + }, + { + "epoch": 0.92, + "learning_rate": 3.14037075872331e-06, + "loss": 0.4711, + "step": 26292 + }, + { + "epoch": 0.92, + "learning_rate": 3.137635942052619e-06, + "loss": 0.3409, + "step": 26293 + }, + { + "epoch": 0.92, + "learning_rate": 3.1349022977394394e-06, + "loss": 0.4589, + "step": 26294 + }, + { + "epoch": 0.92, + "learning_rate": 3.1321698258168332e-06, + "loss": 0.4052, + "step": 26295 + }, + { + "epoch": 0.92, + "learning_rate": 3.129438526317874e-06, + "loss": 0.4359, + "step": 26296 + }, + { + "epoch": 0.92, + "learning_rate": 3.1267083992756242e-06, + "loss": 0.4282, + "step": 26297 + }, + { + "epoch": 0.92, + "learning_rate": 3.123979444723113e-06, + "loss": 0.3308, + "step": 26298 + }, + { + "epoch": 0.92, + "learning_rate": 3.121251662693392e-06, + "loss": 0.4075, + "step": 26299 + }, + { + "epoch": 0.92, + "learning_rate": 3.1185250532194675e-06, + "loss": 0.3879, + "step": 26300 + }, + { + "epoch": 0.92, + "learning_rate": 3.115799616334336e-06, + "loss": 0.5008, + "step": 26301 + }, + { + "epoch": 0.92, + "learning_rate": 3.113075352070993e-06, + "loss": 0.4064, + "step": 26302 + }, + { + "epoch": 0.92, + "learning_rate": 3.110352260462401e-06, + "loss": 0.3994, + "step": 26303 + }, + { + "epoch": 0.92, + "learning_rate": 3.107630341541512e-06, + "loss": 0.3525, + "step": 26304 + }, + { + "epoch": 0.92, + "learning_rate": 3.1049095953412987e-06, + "loss": 0.3035, + "step": 26305 + }, + { + "epoch": 0.92, + "learning_rate": 3.1021900218946686e-06, + "loss": 0.4631, + "step": 26306 + }, + { + "epoch": 0.92, + "learning_rate": 3.099471621234551e-06, + "loss": 0.4961, + "step": 26307 + }, + { + "epoch": 0.92, + "learning_rate": 3.0967543933938303e-06, + "loss": 0.2975, + "step": 26308 + }, + { + "epoch": 0.92, + "learning_rate": 3.094038338405403e-06, + "loss": 0.4343, + "step": 26309 + }, + { + "epoch": 0.92, + "learning_rate": 3.091323456302142e-06, + "loss": 0.352, + "step": 26310 + }, + { + "epoch": 0.92, + "learning_rate": 3.0886097471169217e-06, + "loss": 0.3402, + "step": 26311 + }, + { + "epoch": 0.92, + "learning_rate": 3.0858972108825603e-06, + "loss": 0.4576, + "step": 26312 + }, + { + "epoch": 0.92, + "learning_rate": 3.0831858476319086e-06, + "loss": 0.3621, + "step": 26313 + }, + { + "epoch": 0.92, + "learning_rate": 3.0804756573977524e-06, + "loss": 0.4046, + "step": 26314 + }, + { + "epoch": 0.92, + "learning_rate": 3.0777666402129425e-06, + "loss": 0.3696, + "step": 26315 + }, + { + "epoch": 0.92, + "learning_rate": 3.0750587961102308e-06, + "loss": 0.4361, + "step": 26316 + }, + { + "epoch": 0.92, + "learning_rate": 3.072352125122413e-06, + "loss": 0.3857, + "step": 26317 + }, + { + "epoch": 0.92, + "learning_rate": 3.06964662728223e-06, + "loss": 0.3932, + "step": 26318 + }, + { + "epoch": 0.92, + "learning_rate": 3.066942302622422e-06, + "loss": 0.4067, + "step": 26319 + }, + { + "epoch": 0.92, + "learning_rate": 3.0642391511757518e-06, + "loss": 0.4032, + "step": 26320 + }, + { + "epoch": 0.92, + "learning_rate": 3.0615371729749154e-06, + "loss": 0.4407, + "step": 26321 + }, + { + "epoch": 0.92, + "learning_rate": 3.05883636805262e-06, + "loss": 0.321, + "step": 26322 + }, + { + "epoch": 0.92, + "learning_rate": 3.0561367364415503e-06, + "loss": 0.3981, + "step": 26323 + }, + { + "epoch": 0.92, + "learning_rate": 3.053438278174381e-06, + "loss": 0.4171, + "step": 26324 + }, + { + "epoch": 0.92, + "learning_rate": 3.0507409932837736e-06, + "loss": 0.3445, + "step": 26325 + }, + { + "epoch": 0.92, + "learning_rate": 3.048044881802381e-06, + "loss": 0.4433, + "step": 26326 + }, + { + "epoch": 0.92, + "learning_rate": 3.045349943762832e-06, + "loss": 0.372, + "step": 26327 + }, + { + "epoch": 0.92, + "learning_rate": 3.042656179197745e-06, + "loss": 0.4534, + "step": 26328 + }, + { + "epoch": 0.92, + "learning_rate": 3.0399635881397047e-06, + "loss": 0.4441, + "step": 26329 + }, + { + "epoch": 0.92, + "learning_rate": 3.03727217062133e-06, + "loss": 0.3781, + "step": 26330 + }, + { + "epoch": 0.92, + "learning_rate": 3.034581926675173e-06, + "loss": 0.4543, + "step": 26331 + }, + { + "epoch": 0.92, + "learning_rate": 3.031892856333818e-06, + "loss": 0.3768, + "step": 26332 + }, + { + "epoch": 0.92, + "learning_rate": 3.0292049596297834e-06, + "loss": 0.5815, + "step": 26333 + }, + { + "epoch": 0.92, + "learning_rate": 3.026518236595621e-06, + "loss": 0.4136, + "step": 26334 + }, + { + "epoch": 0.92, + "learning_rate": 3.0238326872638387e-06, + "loss": 0.396, + "step": 26335 + }, + { + "epoch": 0.92, + "learning_rate": 3.0211483116669548e-06, + "loss": 0.3545, + "step": 26336 + }, + { + "epoch": 0.92, + "learning_rate": 3.018465109837454e-06, + "loss": 0.4008, + "step": 26337 + }, + { + "epoch": 0.92, + "learning_rate": 3.015783081807799e-06, + "loss": 0.4282, + "step": 26338 + }, + { + "epoch": 0.92, + "learning_rate": 3.013102227610476e-06, + "loss": 0.4527, + "step": 26339 + }, + { + "epoch": 0.92, + "learning_rate": 3.0104225472778913e-06, + "loss": 0.4636, + "step": 26340 + }, + { + "epoch": 0.92, + "learning_rate": 3.0077440408425196e-06, + "loss": 0.4081, + "step": 26341 + }, + { + "epoch": 0.92, + "learning_rate": 3.0050667083367678e-06, + "loss": 0.4126, + "step": 26342 + }, + { + "epoch": 0.92, + "learning_rate": 3.0023905497930327e-06, + "loss": 0.4876, + "step": 26343 + }, + { + "epoch": 0.92, + "learning_rate": 2.9997155652437103e-06, + "loss": 0.3797, + "step": 26344 + }, + { + "epoch": 0.92, + "learning_rate": 2.9970417547211527e-06, + "loss": 0.4215, + "step": 26345 + }, + { + "epoch": 0.92, + "learning_rate": 2.994369118257767e-06, + "loss": 0.4117, + "step": 26346 + }, + { + "epoch": 0.92, + "learning_rate": 2.9916976558858835e-06, + "loss": 0.4086, + "step": 26347 + }, + { + "epoch": 0.92, + "learning_rate": 2.98902736763782e-06, + "loss": 0.3689, + "step": 26348 + }, + { + "epoch": 0.92, + "learning_rate": 2.9863582535459068e-06, + "loss": 0.388, + "step": 26349 + }, + { + "epoch": 0.92, + "learning_rate": 2.98369031364244e-06, + "loss": 0.4972, + "step": 26350 + }, + { + "epoch": 0.92, + "learning_rate": 2.981023547959738e-06, + "loss": 0.4311, + "step": 26351 + }, + { + "epoch": 0.92, + "learning_rate": 2.9783579565300534e-06, + "loss": 0.42, + "step": 26352 + }, + { + "epoch": 0.92, + "learning_rate": 2.9756935393856487e-06, + "loss": 0.4602, + "step": 26353 + }, + { + "epoch": 0.92, + "learning_rate": 2.9730302965587876e-06, + "loss": 0.4311, + "step": 26354 + }, + { + "epoch": 0.92, + "learning_rate": 2.970368228081688e-06, + "loss": 0.3921, + "step": 26355 + }, + { + "epoch": 0.92, + "learning_rate": 2.96770733398658e-06, + "loss": 0.3512, + "step": 26356 + }, + { + "epoch": 0.92, + "learning_rate": 2.9650476143056604e-06, + "loss": 0.3938, + "step": 26357 + }, + { + "epoch": 0.92, + "learning_rate": 2.962389069071125e-06, + "loss": 0.4977, + "step": 26358 + }, + { + "epoch": 0.92, + "learning_rate": 2.959731698315149e-06, + "loss": 0.4214, + "step": 26359 + }, + { + "epoch": 0.92, + "learning_rate": 2.957075502069906e-06, + "loss": 0.4147, + "step": 26360 + }, + { + "epoch": 0.92, + "learning_rate": 2.9544204803675367e-06, + "loss": 0.449, + "step": 26361 + }, + { + "epoch": 0.92, + "learning_rate": 2.9517666332401718e-06, + "loss": 0.5277, + "step": 26362 + }, + { + "epoch": 0.92, + "learning_rate": 2.9491139607199404e-06, + "loss": 0.3468, + "step": 26363 + }, + { + "epoch": 0.92, + "learning_rate": 2.946462462838939e-06, + "loss": 0.4496, + "step": 26364 + }, + { + "epoch": 0.92, + "learning_rate": 2.943812139629265e-06, + "loss": 0.3872, + "step": 26365 + }, + { + "epoch": 0.92, + "learning_rate": 2.941162991123003e-06, + "loss": 0.3378, + "step": 26366 + }, + { + "epoch": 0.92, + "learning_rate": 2.9385150173522057e-06, + "loss": 0.433, + "step": 26367 + }, + { + "epoch": 0.92, + "learning_rate": 2.935868218348925e-06, + "loss": 0.4057, + "step": 26368 + }, + { + "epoch": 0.92, + "learning_rate": 2.933222594145191e-06, + "loss": 0.4438, + "step": 26369 + }, + { + "epoch": 0.92, + "learning_rate": 2.930578144773044e-06, + "loss": 0.3637, + "step": 26370 + }, + { + "epoch": 0.92, + "learning_rate": 2.9279348702644704e-06, + "loss": 0.4184, + "step": 26371 + }, + { + "epoch": 0.92, + "learning_rate": 2.9252927706514776e-06, + "loss": 0.398, + "step": 26372 + }, + { + "epoch": 0.92, + "learning_rate": 2.922651845966029e-06, + "loss": 0.3357, + "step": 26373 + }, + { + "epoch": 0.92, + "learning_rate": 2.920012096240099e-06, + "loss": 0.4205, + "step": 26374 + }, + { + "epoch": 0.92, + "learning_rate": 2.9173735215056175e-06, + "loss": 0.4226, + "step": 26375 + }, + { + "epoch": 0.92, + "learning_rate": 2.914736121794559e-06, + "loss": 0.4929, + "step": 26376 + }, + { + "epoch": 0.92, + "learning_rate": 2.912099897138809e-06, + "loss": 0.4145, + "step": 26377 + }, + { + "epoch": 0.92, + "learning_rate": 2.909464847570298e-06, + "loss": 0.381, + "step": 26378 + }, + { + "epoch": 0.92, + "learning_rate": 2.9068309731209e-06, + "loss": 0.3589, + "step": 26379 + }, + { + "epoch": 0.92, + "learning_rate": 2.9041982738225004e-06, + "loss": 0.3921, + "step": 26380 + }, + { + "epoch": 0.92, + "learning_rate": 2.9015667497069742e-06, + "loss": 0.3502, + "step": 26381 + }, + { + "epoch": 0.92, + "learning_rate": 2.8989364008061515e-06, + "loss": 0.4711, + "step": 26382 + }, + { + "epoch": 0.92, + "learning_rate": 2.8963072271518952e-06, + "loss": 0.3606, + "step": 26383 + }, + { + "epoch": 0.92, + "learning_rate": 2.893679228776003e-06, + "loss": 0.3716, + "step": 26384 + }, + { + "epoch": 0.92, + "learning_rate": 2.8910524057102818e-06, + "loss": 0.5263, + "step": 26385 + }, + { + "epoch": 0.92, + "learning_rate": 2.888426757986551e-06, + "loss": 0.5222, + "step": 26386 + }, + { + "epoch": 0.92, + "learning_rate": 2.885802285636574e-06, + "loss": 0.4098, + "step": 26387 + }, + { + "epoch": 0.92, + "learning_rate": 2.8831789886921036e-06, + "loss": 0.4098, + "step": 26388 + }, + { + "epoch": 0.92, + "learning_rate": 2.8805568671849136e-06, + "loss": 0.3949, + "step": 26389 + }, + { + "epoch": 0.92, + "learning_rate": 2.8779359211467126e-06, + "loss": 0.2961, + "step": 26390 + }, + { + "epoch": 0.92, + "learning_rate": 2.8753161506092417e-06, + "loss": 0.3963, + "step": 26391 + }, + { + "epoch": 0.92, + "learning_rate": 2.872697555604209e-06, + "loss": 0.4285, + "step": 26392 + }, + { + "epoch": 0.92, + "learning_rate": 2.870080136163311e-06, + "loss": 0.4436, + "step": 26393 + }, + { + "epoch": 0.92, + "learning_rate": 2.867463892318223e-06, + "loss": 0.3989, + "step": 26394 + }, + { + "epoch": 0.92, + "learning_rate": 2.8648488241005853e-06, + "loss": 0.4428, + "step": 26395 + }, + { + "epoch": 0.92, + "learning_rate": 2.862234931542096e-06, + "loss": 0.4548, + "step": 26396 + }, + { + "epoch": 0.92, + "learning_rate": 2.8596222146743623e-06, + "loss": 0.4354, + "step": 26397 + }, + { + "epoch": 0.92, + "learning_rate": 2.857010673529015e-06, + "loss": 0.392, + "step": 26398 + }, + { + "epoch": 0.92, + "learning_rate": 2.85440030813765e-06, + "loss": 0.39, + "step": 26399 + }, + { + "epoch": 0.92, + "learning_rate": 2.8517911185318657e-06, + "loss": 0.3764, + "step": 26400 + }, + { + "epoch": 0.92, + "eval_loss": 0.39770928025245667, + "eval_runtime": 853.6387, + "eval_samples_per_second": 28.185, + "eval_steps_per_second": 14.093, + "step": 26400 + }, + { + "epoch": 0.92, + "learning_rate": 2.849183104743258e-06, + "loss": 0.4153, + "step": 26401 + }, + { + "epoch": 0.92, + "learning_rate": 2.8465762668033913e-06, + "loss": 0.4171, + "step": 26402 + }, + { + "epoch": 0.92, + "learning_rate": 2.843970604743795e-06, + "loss": 0.393, + "step": 26403 + }, + { + "epoch": 0.92, + "learning_rate": 2.841366118596034e-06, + "loss": 0.3888, + "step": 26404 + }, + { + "epoch": 0.92, + "learning_rate": 2.838762808391604e-06, + "loss": 0.4674, + "step": 26405 + }, + { + "epoch": 0.92, + "learning_rate": 2.836160674162014e-06, + "loss": 0.4612, + "step": 26406 + }, + { + "epoch": 0.92, + "learning_rate": 2.8335597159387827e-06, + "loss": 0.4035, + "step": 26407 + }, + { + "epoch": 0.92, + "learning_rate": 2.8309599337533853e-06, + "loss": 0.4699, + "step": 26408 + }, + { + "epoch": 0.92, + "learning_rate": 2.8283613276372744e-06, + "loss": 0.413, + "step": 26409 + }, + { + "epoch": 0.92, + "learning_rate": 2.8257638976219135e-06, + "loss": 0.4315, + "step": 26410 + }, + { + "epoch": 0.92, + "learning_rate": 2.8231676437387224e-06, + "loss": 0.4049, + "step": 26411 + }, + { + "epoch": 0.92, + "learning_rate": 2.820572566019153e-06, + "loss": 0.3853, + "step": 26412 + }, + { + "epoch": 0.92, + "learning_rate": 2.8179786644945915e-06, + "loss": 0.3588, + "step": 26413 + }, + { + "epoch": 0.92, + "learning_rate": 2.8153859391964355e-06, + "loss": 0.39, + "step": 26414 + }, + { + "epoch": 0.92, + "learning_rate": 2.8127943901560707e-06, + "loss": 0.3889, + "step": 26415 + }, + { + "epoch": 0.92, + "learning_rate": 2.8102040174048604e-06, + "loss": 0.34, + "step": 26416 + }, + { + "epoch": 0.92, + "learning_rate": 2.807614820974169e-06, + "loss": 0.3747, + "step": 26417 + }, + { + "epoch": 0.92, + "learning_rate": 2.8050268008953164e-06, + "loss": 0.4578, + "step": 26418 + }, + { + "epoch": 0.92, + "learning_rate": 2.8024399571996317e-06, + "loss": 0.4581, + "step": 26419 + }, + { + "epoch": 0.92, + "learning_rate": 2.7998542899184355e-06, + "loss": 0.4113, + "step": 26420 + }, + { + "epoch": 0.92, + "learning_rate": 2.797269799083002e-06, + "loss": 0.3742, + "step": 26421 + }, + { + "epoch": 0.92, + "learning_rate": 2.794686484724629e-06, + "loss": 0.5044, + "step": 26422 + }, + { + "epoch": 0.92, + "learning_rate": 2.792104346874591e-06, + "loss": 0.4194, + "step": 26423 + }, + { + "epoch": 0.92, + "learning_rate": 2.789523385564119e-06, + "loss": 0.3302, + "step": 26424 + }, + { + "epoch": 0.92, + "learning_rate": 2.786943600824454e-06, + "loss": 0.4326, + "step": 26425 + }, + { + "epoch": 0.92, + "learning_rate": 2.7843649926868277e-06, + "loss": 0.3674, + "step": 26426 + }, + { + "epoch": 0.92, + "learning_rate": 2.7817875611824584e-06, + "loss": 0.395, + "step": 26427 + }, + { + "epoch": 0.92, + "learning_rate": 2.7792113063425216e-06, + "loss": 0.3967, + "step": 26428 + }, + { + "epoch": 0.92, + "learning_rate": 2.776636228198215e-06, + "loss": 0.4488, + "step": 26429 + }, + { + "epoch": 0.92, + "learning_rate": 2.774062326780702e-06, + "loss": 0.3294, + "step": 26430 + }, + { + "epoch": 0.92, + "learning_rate": 2.7714896021211133e-06, + "loss": 0.4637, + "step": 26431 + }, + { + "epoch": 0.92, + "learning_rate": 2.7689180542506243e-06, + "loss": 0.4017, + "step": 26432 + }, + { + "epoch": 0.92, + "learning_rate": 2.766347683200343e-06, + "loss": 0.4347, + "step": 26433 + }, + { + "epoch": 0.93, + "learning_rate": 2.7637784890013785e-06, + "loss": 0.4663, + "step": 26434 + }, + { + "epoch": 0.93, + "learning_rate": 2.7612104716848273e-06, + "loss": 0.3963, + "step": 26435 + }, + { + "epoch": 0.93, + "learning_rate": 2.758643631281754e-06, + "loss": 0.4709, + "step": 26436 + }, + { + "epoch": 0.93, + "learning_rate": 2.7560779678232563e-06, + "loss": 0.4056, + "step": 26437 + }, + { + "epoch": 0.93, + "learning_rate": 2.753513481340364e-06, + "loss": 0.4744, + "step": 26438 + }, + { + "epoch": 0.93, + "learning_rate": 2.7509501718641305e-06, + "loss": 0.451, + "step": 26439 + }, + { + "epoch": 0.93, + "learning_rate": 2.7483880394255758e-06, + "loss": 0.3601, + "step": 26440 + }, + { + "epoch": 0.93, + "learning_rate": 2.7458270840557187e-06, + "loss": 0.396, + "step": 26441 + }, + { + "epoch": 0.93, + "learning_rate": 2.743267305785524e-06, + "loss": 0.4031, + "step": 26442 + }, + { + "epoch": 0.93, + "learning_rate": 2.740708704646011e-06, + "loss": 0.3812, + "step": 26443 + }, + { + "epoch": 0.93, + "learning_rate": 2.738151280668122e-06, + "loss": 0.447, + "step": 26444 + }, + { + "epoch": 0.93, + "learning_rate": 2.7355950338828317e-06, + "loss": 0.4019, + "step": 26445 + }, + { + "epoch": 0.93, + "learning_rate": 2.7330399643210603e-06, + "loss": 0.55, + "step": 26446 + }, + { + "epoch": 0.93, + "learning_rate": 2.7304860720137273e-06, + "loss": 0.3671, + "step": 26447 + }, + { + "epoch": 0.93, + "learning_rate": 2.7279333569917744e-06, + "loss": 0.4228, + "step": 26448 + }, + { + "epoch": 0.93, + "learning_rate": 2.725381819286077e-06, + "loss": 0.4229, + "step": 26449 + }, + { + "epoch": 0.93, + "learning_rate": 2.722831458927522e-06, + "loss": 0.416, + "step": 26450 + }, + { + "epoch": 0.93, + "learning_rate": 2.7202822759469614e-06, + "loss": 0.3872, + "step": 26451 + }, + { + "epoch": 0.93, + "learning_rate": 2.717734270375272e-06, + "loss": 0.4523, + "step": 26452 + }, + { + "epoch": 0.93, + "learning_rate": 2.7151874422432834e-06, + "loss": 0.4192, + "step": 26453 + }, + { + "epoch": 0.93, + "learning_rate": 2.7126417915818157e-06, + "loss": 0.3888, + "step": 26454 + }, + { + "epoch": 0.93, + "learning_rate": 2.7100973184216893e-06, + "loss": 0.4115, + "step": 26455 + }, + { + "epoch": 0.93, + "learning_rate": 2.7075540227937012e-06, + "loss": 0.3793, + "step": 26456 + }, + { + "epoch": 0.93, + "learning_rate": 2.705011904728616e-06, + "loss": 0.4033, + "step": 26457 + }, + { + "epoch": 0.93, + "learning_rate": 2.70247096425722e-06, + "loss": 0.4569, + "step": 26458 + }, + { + "epoch": 0.93, + "learning_rate": 2.699931201410266e-06, + "loss": 0.4626, + "step": 26459 + }, + { + "epoch": 0.93, + "learning_rate": 2.697392616218486e-06, + "loss": 0.4383, + "step": 26460 + }, + { + "epoch": 0.93, + "learning_rate": 2.69485520871261e-06, + "loss": 0.3735, + "step": 26461 + }, + { + "epoch": 0.93, + "learning_rate": 2.6923189789233473e-06, + "loss": 0.3765, + "step": 26462 + }, + { + "epoch": 0.93, + "learning_rate": 2.689783926881395e-06, + "loss": 0.417, + "step": 26463 + }, + { + "epoch": 0.93, + "learning_rate": 2.6872500526174406e-06, + "loss": 0.444, + "step": 26464 + }, + { + "epoch": 0.93, + "learning_rate": 2.6847173561621363e-06, + "loss": 0.5035, + "step": 26465 + }, + { + "epoch": 0.93, + "learning_rate": 2.6821858375461585e-06, + "loss": 0.3591, + "step": 26466 + }, + { + "epoch": 0.93, + "learning_rate": 2.6796554968001262e-06, + "loss": 0.363, + "step": 26467 + }, + { + "epoch": 0.93, + "learning_rate": 2.6771263339546827e-06, + "loss": 0.3904, + "step": 26468 + }, + { + "epoch": 0.93, + "learning_rate": 2.6745983490404357e-06, + "loss": 0.3994, + "step": 26469 + }, + { + "epoch": 0.93, + "learning_rate": 2.6720715420879725e-06, + "loss": 0.4369, + "step": 26470 + }, + { + "epoch": 0.93, + "learning_rate": 2.66954591312788e-06, + "loss": 0.3968, + "step": 26471 + }, + { + "epoch": 0.93, + "learning_rate": 2.667021462190733e-06, + "loss": 0.4443, + "step": 26472 + }, + { + "epoch": 0.93, + "learning_rate": 2.664498189307074e-06, + "loss": 0.4771, + "step": 26473 + }, + { + "epoch": 0.93, + "learning_rate": 2.6619760945074456e-06, + "loss": 0.3299, + "step": 26474 + }, + { + "epoch": 0.93, + "learning_rate": 2.65945517782239e-06, + "loss": 0.4108, + "step": 26475 + }, + { + "epoch": 0.93, + "learning_rate": 2.656935439282404e-06, + "loss": 0.4313, + "step": 26476 + }, + { + "epoch": 0.93, + "learning_rate": 2.6544168789179868e-06, + "loss": 0.3838, + "step": 26477 + }, + { + "epoch": 0.93, + "learning_rate": 2.6518994967596135e-06, + "loss": 0.4936, + "step": 26478 + }, + { + "epoch": 0.93, + "learning_rate": 2.6493832928377706e-06, + "loss": 0.4159, + "step": 26479 + }, + { + "epoch": 0.93, + "learning_rate": 2.6468682671829005e-06, + "loss": 0.458, + "step": 26480 + }, + { + "epoch": 0.93, + "learning_rate": 2.6443544198254565e-06, + "loss": 0.3535, + "step": 26481 + }, + { + "epoch": 0.93, + "learning_rate": 2.641841750795837e-06, + "loss": 0.3813, + "step": 26482 + }, + { + "epoch": 0.93, + "learning_rate": 2.639330260124473e-06, + "loss": 0.4261, + "step": 26483 + }, + { + "epoch": 0.93, + "learning_rate": 2.6368199478417732e-06, + "loss": 0.3322, + "step": 26484 + }, + { + "epoch": 0.93, + "learning_rate": 2.6343108139780915e-06, + "loss": 0.4384, + "step": 26485 + }, + { + "epoch": 0.93, + "learning_rate": 2.6318028585638253e-06, + "loss": 0.3215, + "step": 26486 + }, + { + "epoch": 0.93, + "learning_rate": 2.6292960816293176e-06, + "loss": 0.4806, + "step": 26487 + }, + { + "epoch": 0.93, + "learning_rate": 2.6267904832048883e-06, + "loss": 0.3677, + "step": 26488 + }, + { + "epoch": 0.93, + "learning_rate": 2.6242860633209132e-06, + "loss": 0.4052, + "step": 26489 + }, + { + "epoch": 0.93, + "learning_rate": 2.621782822007657e-06, + "loss": 0.3407, + "step": 26490 + }, + { + "epoch": 0.93, + "learning_rate": 2.6192807592954394e-06, + "loss": 0.3721, + "step": 26491 + }, + { + "epoch": 0.93, + "learning_rate": 2.6167798752145255e-06, + "loss": 0.3991, + "step": 26492 + }, + { + "epoch": 0.93, + "learning_rate": 2.6142801697952022e-06, + "loss": 0.378, + "step": 26493 + }, + { + "epoch": 0.93, + "learning_rate": 2.6117816430677234e-06, + "loss": 0.3737, + "step": 26494 + }, + { + "epoch": 0.93, + "learning_rate": 2.6092842950623196e-06, + "loss": 0.4745, + "step": 26495 + }, + { + "epoch": 0.93, + "learning_rate": 2.6067881258092343e-06, + "loss": 0.3786, + "step": 26496 + }, + { + "epoch": 0.93, + "learning_rate": 2.6042931353386535e-06, + "loss": 0.3814, + "step": 26497 + }, + { + "epoch": 0.93, + "learning_rate": 2.601799323680798e-06, + "loss": 0.3514, + "step": 26498 + }, + { + "epoch": 0.93, + "learning_rate": 2.5993066908658436e-06, + "loss": 0.3651, + "step": 26499 + }, + { + "epoch": 0.93, + "learning_rate": 2.596815236923955e-06, + "loss": 0.3482, + "step": 26500 + }, + { + "epoch": 0.93, + "learning_rate": 2.5943249618852973e-06, + "loss": 0.354, + "step": 26501 + }, + { + "epoch": 0.93, + "learning_rate": 2.59183586577999e-06, + "loss": 0.4731, + "step": 26502 + }, + { + "epoch": 0.93, + "learning_rate": 2.589347948638188e-06, + "loss": 0.357, + "step": 26503 + }, + { + "epoch": 0.93, + "learning_rate": 2.586861210489988e-06, + "loss": 0.4243, + "step": 26504 + }, + { + "epoch": 0.93, + "learning_rate": 2.5843756513654783e-06, + "loss": 0.473, + "step": 26505 + }, + { + "epoch": 0.93, + "learning_rate": 2.5818912712947675e-06, + "loss": 0.3732, + "step": 26506 + }, + { + "epoch": 0.93, + "learning_rate": 2.5794080703079093e-06, + "loss": 0.4101, + "step": 26507 + }, + { + "epoch": 0.93, + "learning_rate": 2.5769260484349466e-06, + "loss": 0.4552, + "step": 26508 + }, + { + "epoch": 0.93, + "learning_rate": 2.574445205705944e-06, + "loss": 0.327, + "step": 26509 + }, + { + "epoch": 0.93, + "learning_rate": 2.5719655421509115e-06, + "loss": 0.5254, + "step": 26510 + }, + { + "epoch": 0.93, + "learning_rate": 2.5694870577998796e-06, + "loss": 0.3251, + "step": 26511 + }, + { + "epoch": 0.93, + "learning_rate": 2.567009752682825e-06, + "loss": 0.4424, + "step": 26512 + }, + { + "epoch": 0.93, + "learning_rate": 2.564533626829735e-06, + "loss": 0.4182, + "step": 26513 + }, + { + "epoch": 0.93, + "learning_rate": 2.5620586802705847e-06, + "loss": 0.3623, + "step": 26514 + }, + { + "epoch": 0.93, + "learning_rate": 2.55958491303534e-06, + "loss": 0.3277, + "step": 26515 + }, + { + "epoch": 0.93, + "learning_rate": 2.557112325153932e-06, + "loss": 0.3637, + "step": 26516 + }, + { + "epoch": 0.93, + "learning_rate": 2.5546409166562814e-06, + "loss": 0.4747, + "step": 26517 + }, + { + "epoch": 0.93, + "learning_rate": 2.5521706875722863e-06, + "loss": 0.3546, + "step": 26518 + }, + { + "epoch": 0.93, + "learning_rate": 2.5497016379318894e-06, + "loss": 0.3281, + "step": 26519 + }, + { + "epoch": 0.93, + "learning_rate": 2.547233767764934e-06, + "loss": 0.4681, + "step": 26520 + }, + { + "epoch": 0.93, + "learning_rate": 2.5447670771013175e-06, + "loss": 0.4127, + "step": 26521 + }, + { + "epoch": 0.93, + "learning_rate": 2.542301565970873e-06, + "loss": 0.4241, + "step": 26522 + }, + { + "epoch": 0.93, + "learning_rate": 2.5398372344034418e-06, + "loss": 0.3834, + "step": 26523 + }, + { + "epoch": 0.93, + "learning_rate": 2.537374082428867e-06, + "loss": 0.4821, + "step": 26524 + }, + { + "epoch": 0.93, + "learning_rate": 2.534912110076948e-06, + "loss": 0.3842, + "step": 26525 + }, + { + "epoch": 0.93, + "learning_rate": 2.532451317377493e-06, + "loss": 0.4505, + "step": 26526 + }, + { + "epoch": 0.93, + "learning_rate": 2.5299917043602794e-06, + "loss": 0.3953, + "step": 26527 + }, + { + "epoch": 0.93, + "learning_rate": 2.5275332710550716e-06, + "loss": 0.4044, + "step": 26528 + }, + { + "epoch": 0.93, + "learning_rate": 2.5250760174916454e-06, + "loss": 0.4291, + "step": 26529 + }, + { + "epoch": 0.93, + "learning_rate": 2.5226199436997113e-06, + "loss": 0.4204, + "step": 26530 + }, + { + "epoch": 0.93, + "learning_rate": 2.5201650497090223e-06, + "loss": 0.4246, + "step": 26531 + }, + { + "epoch": 0.93, + "learning_rate": 2.5177113355492778e-06, + "loss": 0.4762, + "step": 26532 + }, + { + "epoch": 0.93, + "learning_rate": 2.5152588012501752e-06, + "loss": 0.356, + "step": 26533 + }, + { + "epoch": 0.93, + "learning_rate": 2.512807446841403e-06, + "loss": 0.4145, + "step": 26534 + }, + { + "epoch": 0.93, + "learning_rate": 2.510357272352626e-06, + "loss": 0.3962, + "step": 26535 + }, + { + "epoch": 0.93, + "learning_rate": 2.5079082778135087e-06, + "loss": 0.5014, + "step": 26536 + }, + { + "epoch": 0.93, + "learning_rate": 2.5054604632536836e-06, + "loss": 0.4011, + "step": 26537 + }, + { + "epoch": 0.93, + "learning_rate": 2.5030138287027826e-06, + "loss": 0.4234, + "step": 26538 + }, + { + "epoch": 0.93, + "learning_rate": 2.5005683741904152e-06, + "loss": 0.4576, + "step": 26539 + }, + { + "epoch": 0.93, + "learning_rate": 2.49812409974618e-06, + "loss": 0.4172, + "step": 26540 + }, + { + "epoch": 0.93, + "learning_rate": 2.4956810053996527e-06, + "loss": 0.3966, + "step": 26541 + }, + { + "epoch": 0.93, + "learning_rate": 2.4932390911804216e-06, + "loss": 0.489, + "step": 26542 + }, + { + "epoch": 0.93, + "learning_rate": 2.490798357118029e-06, + "loss": 0.3628, + "step": 26543 + }, + { + "epoch": 0.93, + "learning_rate": 2.488358803242008e-06, + "loss": 0.3937, + "step": 26544 + }, + { + "epoch": 0.93, + "learning_rate": 2.4859204295819117e-06, + "loss": 0.3493, + "step": 26545 + }, + { + "epoch": 0.93, + "learning_rate": 2.483483236167228e-06, + "loss": 0.3785, + "step": 26546 + }, + { + "epoch": 0.93, + "learning_rate": 2.4810472230274662e-06, + "loss": 0.3722, + "step": 26547 + }, + { + "epoch": 0.93, + "learning_rate": 2.4786123901921144e-06, + "loss": 0.4341, + "step": 26548 + }, + { + "epoch": 0.93, + "learning_rate": 2.4761787376906156e-06, + "loss": 0.4145, + "step": 26549 + }, + { + "epoch": 0.93, + "learning_rate": 2.4737462655524566e-06, + "loss": 0.3836, + "step": 26550 + }, + { + "epoch": 0.93, + "learning_rate": 2.4713149738070707e-06, + "loss": 0.4039, + "step": 26551 + }, + { + "epoch": 0.93, + "learning_rate": 2.468884862483878e-06, + "loss": 0.4483, + "step": 26552 + }, + { + "epoch": 0.93, + "learning_rate": 2.4664559316122883e-06, + "loss": 0.4167, + "step": 26553 + }, + { + "epoch": 0.93, + "learning_rate": 2.4640281812217004e-06, + "loss": 0.4488, + "step": 26554 + }, + { + "epoch": 0.93, + "learning_rate": 2.461601611341513e-06, + "loss": 0.3821, + "step": 26555 + }, + { + "epoch": 0.93, + "learning_rate": 2.459176222001092e-06, + "loss": 0.4139, + "step": 26556 + }, + { + "epoch": 0.93, + "learning_rate": 2.4567520132297795e-06, + "loss": 0.3964, + "step": 26557 + }, + { + "epoch": 0.93, + "learning_rate": 2.4543289850569197e-06, + "loss": 0.4321, + "step": 26558 + }, + { + "epoch": 0.93, + "learning_rate": 2.451907137511833e-06, + "loss": 0.4349, + "step": 26559 + }, + { + "epoch": 0.93, + "learning_rate": 2.449486470623863e-06, + "loss": 0.4506, + "step": 26560 + }, + { + "epoch": 0.93, + "learning_rate": 2.447066984422275e-06, + "loss": 0.4331, + "step": 26561 + }, + { + "epoch": 0.93, + "learning_rate": 2.4446486789363674e-06, + "loss": 0.397, + "step": 26562 + }, + { + "epoch": 0.93, + "learning_rate": 2.4422315541954067e-06, + "loss": 0.3915, + "step": 26563 + }, + { + "epoch": 0.93, + "learning_rate": 2.439815610228635e-06, + "loss": 0.335, + "step": 26564 + }, + { + "epoch": 0.93, + "learning_rate": 2.4374008470653185e-06, + "loss": 0.3754, + "step": 26565 + }, + { + "epoch": 0.93, + "learning_rate": 2.434987264734678e-06, + "loss": 0.4316, + "step": 26566 + }, + { + "epoch": 0.93, + "learning_rate": 2.432574863265913e-06, + "loss": 0.4956, + "step": 26567 + }, + { + "epoch": 0.93, + "learning_rate": 2.4301636426882326e-06, + "loss": 0.3822, + "step": 26568 + }, + { + "epoch": 0.93, + "learning_rate": 2.427753603030802e-06, + "loss": 0.3822, + "step": 26569 + }, + { + "epoch": 0.93, + "learning_rate": 2.4253447443228106e-06, + "loss": 0.4602, + "step": 26570 + }, + { + "epoch": 0.93, + "learning_rate": 2.4229370665934225e-06, + "loss": 0.4367, + "step": 26571 + }, + { + "epoch": 0.93, + "learning_rate": 2.4205305698717483e-06, + "loss": 0.4075, + "step": 26572 + }, + { + "epoch": 0.93, + "learning_rate": 2.4181252541869424e-06, + "loss": 0.3973, + "step": 26573 + }, + { + "epoch": 0.93, + "learning_rate": 2.415721119568104e-06, + "loss": 0.3687, + "step": 26574 + }, + { + "epoch": 0.93, + "learning_rate": 2.4133181660443094e-06, + "loss": 0.4202, + "step": 26575 + }, + { + "epoch": 0.93, + "learning_rate": 2.410916393644691e-06, + "loss": 0.4632, + "step": 26576 + }, + { + "epoch": 0.93, + "learning_rate": 2.408515802398281e-06, + "loss": 0.4234, + "step": 26577 + }, + { + "epoch": 0.93, + "learning_rate": 2.406116392334157e-06, + "loss": 0.4514, + "step": 26578 + }, + { + "epoch": 0.93, + "learning_rate": 2.4037181634813386e-06, + "loss": 0.5041, + "step": 26579 + }, + { + "epoch": 0.93, + "learning_rate": 2.40132111586886e-06, + "loss": 0.4226, + "step": 26580 + }, + { + "epoch": 0.93, + "learning_rate": 2.3989252495257407e-06, + "loss": 0.4087, + "step": 26581 + }, + { + "epoch": 0.93, + "learning_rate": 2.396530564480981e-06, + "loss": 0.3743, + "step": 26582 + }, + { + "epoch": 0.93, + "learning_rate": 2.3941370607635573e-06, + "loss": 0.4558, + "step": 26583 + }, + { + "epoch": 0.93, + "learning_rate": 2.391744738402435e-06, + "loss": 0.3823, + "step": 26584 + }, + { + "epoch": 0.93, + "learning_rate": 2.3893535974265692e-06, + "loss": 0.3318, + "step": 26585 + }, + { + "epoch": 0.93, + "learning_rate": 2.386963637864903e-06, + "loss": 0.3608, + "step": 26586 + }, + { + "epoch": 0.93, + "learning_rate": 2.38457485974638e-06, + "loss": 0.39, + "step": 26587 + }, + { + "epoch": 0.93, + "learning_rate": 2.382187263099889e-06, + "loss": 0.4969, + "step": 26588 + }, + { + "epoch": 0.93, + "learning_rate": 2.3798008479543388e-06, + "loss": 0.4235, + "step": 26589 + }, + { + "epoch": 0.93, + "learning_rate": 2.3774156143385963e-06, + "loss": 0.4662, + "step": 26590 + }, + { + "epoch": 0.93, + "learning_rate": 2.37503156228156e-06, + "loss": 0.3823, + "step": 26591 + }, + { + "epoch": 0.93, + "learning_rate": 2.372648691812063e-06, + "loss": 0.3971, + "step": 26592 + }, + { + "epoch": 0.93, + "learning_rate": 2.370267002958959e-06, + "loss": 0.4267, + "step": 26593 + }, + { + "epoch": 0.93, + "learning_rate": 2.3678864957510595e-06, + "loss": 0.3683, + "step": 26594 + }, + { + "epoch": 0.93, + "learning_rate": 2.3655071702171848e-06, + "loss": 0.4279, + "step": 26595 + }, + { + "epoch": 0.93, + "learning_rate": 2.363129026386146e-06, + "loss": 0.3894, + "step": 26596 + }, + { + "epoch": 0.93, + "learning_rate": 2.3607520642866974e-06, + "loss": 0.4093, + "step": 26597 + }, + { + "epoch": 0.93, + "learning_rate": 2.3583762839476386e-06, + "loss": 0.3959, + "step": 26598 + }, + { + "epoch": 0.93, + "learning_rate": 2.356001685397702e-06, + "loss": 0.4873, + "step": 26599 + }, + { + "epoch": 0.93, + "learning_rate": 2.353628268665631e-06, + "loss": 0.4046, + "step": 26600 + }, + { + "epoch": 0.93, + "eval_loss": 0.39736002683639526, + "eval_runtime": 846.0117, + "eval_samples_per_second": 28.439, + "eval_steps_per_second": 14.22, + "step": 26600 + }, + { + "epoch": 0.93, + "learning_rate": 2.3512560337801693e-06, + "loss": 0.3718, + "step": 26601 + }, + { + "epoch": 0.93, + "learning_rate": 2.3488849807700163e-06, + "loss": 0.3609, + "step": 26602 + }, + { + "epoch": 0.93, + "learning_rate": 2.3465151096638714e-06, + "loss": 0.4513, + "step": 26603 + }, + { + "epoch": 0.93, + "learning_rate": 2.3441464204904117e-06, + "loss": 0.3825, + "step": 26604 + }, + { + "epoch": 0.93, + "learning_rate": 2.341778913278303e-06, + "loss": 0.3611, + "step": 26605 + }, + { + "epoch": 0.93, + "learning_rate": 2.339412588056211e-06, + "loss": 0.3506, + "step": 26606 + }, + { + "epoch": 0.93, + "learning_rate": 2.33704744485278e-06, + "loss": 0.4149, + "step": 26607 + }, + { + "epoch": 0.93, + "learning_rate": 2.3346834836966314e-06, + "loss": 0.4398, + "step": 26608 + }, + { + "epoch": 0.93, + "learning_rate": 2.332320704616375e-06, + "loss": 0.414, + "step": 26609 + }, + { + "epoch": 0.93, + "learning_rate": 2.329959107640611e-06, + "loss": 0.4997, + "step": 26610 + }, + { + "epoch": 0.93, + "learning_rate": 2.3275986927979053e-06, + "loss": 0.3789, + "step": 26611 + }, + { + "epoch": 0.93, + "learning_rate": 2.325239460116846e-06, + "loss": 0.3999, + "step": 26612 + }, + { + "epoch": 0.93, + "learning_rate": 2.322881409625999e-06, + "loss": 0.38, + "step": 26613 + }, + { + "epoch": 0.93, + "learning_rate": 2.3205245413538747e-06, + "loss": 0.3922, + "step": 26614 + }, + { + "epoch": 0.93, + "learning_rate": 2.318168855329017e-06, + "loss": 0.3235, + "step": 26615 + }, + { + "epoch": 0.93, + "learning_rate": 2.3158143515799258e-06, + "loss": 0.4574, + "step": 26616 + }, + { + "epoch": 0.93, + "learning_rate": 2.3134610301351113e-06, + "loss": 0.4735, + "step": 26617 + }, + { + "epoch": 0.93, + "learning_rate": 2.3111088910230507e-06, + "loss": 0.4451, + "step": 26618 + }, + { + "epoch": 0.93, + "learning_rate": 2.308757934272221e-06, + "loss": 0.359, + "step": 26619 + }, + { + "epoch": 0.93, + "learning_rate": 2.3064081599110666e-06, + "loss": 0.4623, + "step": 26620 + }, + { + "epoch": 0.93, + "learning_rate": 2.30405956796802e-06, + "loss": 0.4554, + "step": 26621 + }, + { + "epoch": 0.93, + "learning_rate": 2.3017121584715252e-06, + "loss": 0.458, + "step": 26622 + }, + { + "epoch": 0.93, + "learning_rate": 2.2993659314499928e-06, + "loss": 0.4118, + "step": 26623 + }, + { + "epoch": 0.93, + "learning_rate": 2.297020886931811e-06, + "loss": 0.4296, + "step": 26624 + }, + { + "epoch": 0.93, + "learning_rate": 2.2946770249453463e-06, + "loss": 0.4322, + "step": 26625 + }, + { + "epoch": 0.93, + "learning_rate": 2.2923343455190093e-06, + "loss": 0.4008, + "step": 26626 + }, + { + "epoch": 0.93, + "learning_rate": 2.2899928486811106e-06, + "loss": 0.3958, + "step": 26627 + }, + { + "epoch": 0.93, + "learning_rate": 2.2876525344600275e-06, + "loss": 0.4307, + "step": 26628 + }, + { + "epoch": 0.93, + "learning_rate": 2.2853134028840594e-06, + "loss": 0.4527, + "step": 26629 + }, + { + "epoch": 0.93, + "learning_rate": 2.2829754539815174e-06, + "loss": 0.4007, + "step": 26630 + }, + { + "epoch": 0.93, + "learning_rate": 2.2806386877807116e-06, + "loss": 0.3767, + "step": 26631 + }, + { + "epoch": 0.93, + "learning_rate": 2.278303104309931e-06, + "loss": 0.3745, + "step": 26632 + }, + { + "epoch": 0.93, + "learning_rate": 2.27596870359742e-06, + "loss": 0.4037, + "step": 26633 + }, + { + "epoch": 0.93, + "learning_rate": 2.273635485671455e-06, + "loss": 0.4382, + "step": 26634 + }, + { + "epoch": 0.93, + "learning_rate": 2.2713034505602583e-06, + "loss": 0.3276, + "step": 26635 + }, + { + "epoch": 0.93, + "learning_rate": 2.268972598292074e-06, + "loss": 0.3536, + "step": 26636 + }, + { + "epoch": 0.93, + "learning_rate": 2.266642928895091e-06, + "loss": 0.4157, + "step": 26637 + }, + { + "epoch": 0.93, + "learning_rate": 2.2643144423975305e-06, + "loss": 0.4266, + "step": 26638 + }, + { + "epoch": 0.93, + "learning_rate": 2.2619871388275595e-06, + "loss": 0.4084, + "step": 26639 + }, + { + "epoch": 0.93, + "learning_rate": 2.259661018213333e-06, + "loss": 0.4138, + "step": 26640 + }, + { + "epoch": 0.93, + "learning_rate": 2.257336080583039e-06, + "loss": 0.4651, + "step": 26641 + }, + { + "epoch": 0.93, + "learning_rate": 2.2550123259647893e-06, + "loss": 0.3666, + "step": 26642 + }, + { + "epoch": 0.93, + "learning_rate": 2.2526897543867277e-06, + "loss": 0.3743, + "step": 26643 + }, + { + "epoch": 0.93, + "learning_rate": 2.2503683658769535e-06, + "loss": 0.3866, + "step": 26644 + }, + { + "epoch": 0.93, + "learning_rate": 2.2480481604635563e-06, + "loss": 0.4155, + "step": 26645 + }, + { + "epoch": 0.93, + "learning_rate": 2.245729138174635e-06, + "loss": 0.3649, + "step": 26646 + }, + { + "epoch": 0.93, + "learning_rate": 2.243411299038245e-06, + "loss": 0.4902, + "step": 26647 + }, + { + "epoch": 0.93, + "learning_rate": 2.241094643082453e-06, + "loss": 0.3654, + "step": 26648 + }, + { + "epoch": 0.93, + "learning_rate": 2.238779170335281e-06, + "loss": 0.3845, + "step": 26649 + }, + { + "epoch": 0.93, + "learning_rate": 2.2364648808247735e-06, + "loss": 0.4385, + "step": 26650 + }, + { + "epoch": 0.93, + "learning_rate": 2.2341517745789185e-06, + "loss": 0.3831, + "step": 26651 + }, + { + "epoch": 0.93, + "learning_rate": 2.2318398516257276e-06, + "loss": 0.3595, + "step": 26652 + }, + { + "epoch": 0.93, + "learning_rate": 2.2295291119931896e-06, + "loss": 0.4161, + "step": 26653 + }, + { + "epoch": 0.93, + "learning_rate": 2.227219555709259e-06, + "loss": 0.4488, + "step": 26654 + }, + { + "epoch": 0.93, + "learning_rate": 2.2249111828018922e-06, + "loss": 0.3583, + "step": 26655 + }, + { + "epoch": 0.93, + "learning_rate": 2.2226039932990108e-06, + "loss": 0.3918, + "step": 26656 + }, + { + "epoch": 0.93, + "learning_rate": 2.2202979872285813e-06, + "loss": 0.4177, + "step": 26657 + }, + { + "epoch": 0.93, + "learning_rate": 2.2179931646184814e-06, + "loss": 0.3334, + "step": 26658 + }, + { + "epoch": 0.93, + "learning_rate": 2.2156895254966114e-06, + "loss": 0.4255, + "step": 26659 + }, + { + "epoch": 0.93, + "learning_rate": 2.213387069890871e-06, + "loss": 0.4274, + "step": 26660 + }, + { + "epoch": 0.93, + "learning_rate": 2.211085797829093e-06, + "loss": 0.3328, + "step": 26661 + }, + { + "epoch": 0.93, + "learning_rate": 2.2087857093391563e-06, + "loss": 0.375, + "step": 26662 + }, + { + "epoch": 0.93, + "learning_rate": 2.206486804448904e-06, + "loss": 0.3737, + "step": 26663 + }, + { + "epoch": 0.93, + "learning_rate": 2.2041890831861477e-06, + "loss": 0.3701, + "step": 26664 + }, + { + "epoch": 0.93, + "learning_rate": 2.20189254557871e-06, + "loss": 0.3878, + "step": 26665 + }, + { + "epoch": 0.93, + "learning_rate": 2.199597191654357e-06, + "loss": 0.5248, + "step": 26666 + }, + { + "epoch": 0.93, + "learning_rate": 2.1973030214408997e-06, + "loss": 0.4126, + "step": 26667 + }, + { + "epoch": 0.93, + "learning_rate": 2.195010034966105e-06, + "loss": 0.362, + "step": 26668 + }, + { + "epoch": 0.93, + "learning_rate": 2.1927182322577067e-06, + "loss": 0.4137, + "step": 26669 + }, + { + "epoch": 0.93, + "learning_rate": 2.19042761334346e-06, + "loss": 0.4464, + "step": 26670 + }, + { + "epoch": 0.93, + "learning_rate": 2.188138178251076e-06, + "loss": 0.3937, + "step": 26671 + }, + { + "epoch": 0.93, + "learning_rate": 2.1858499270082766e-06, + "loss": 0.3157, + "step": 26672 + }, + { + "epoch": 0.93, + "learning_rate": 2.1835628596427517e-06, + "loss": 0.462, + "step": 26673 + }, + { + "epoch": 0.93, + "learning_rate": 2.1812769761821783e-06, + "loss": 0.429, + "step": 26674 + }, + { + "epoch": 0.93, + "learning_rate": 2.178992276654235e-06, + "loss": 0.3916, + "step": 26675 + }, + { + "epoch": 0.93, + "learning_rate": 2.1767087610865657e-06, + "loss": 0.399, + "step": 26676 + }, + { + "epoch": 0.93, + "learning_rate": 2.174426429506793e-06, + "loss": 0.404, + "step": 26677 + }, + { + "epoch": 0.93, + "learning_rate": 2.1721452819425725e-06, + "loss": 0.4003, + "step": 26678 + }, + { + "epoch": 0.93, + "learning_rate": 2.1698653184214933e-06, + "loss": 0.3712, + "step": 26679 + }, + { + "epoch": 0.93, + "learning_rate": 2.1675865389711558e-06, + "loss": 0.4531, + "step": 26680 + }, + { + "epoch": 0.93, + "learning_rate": 2.1653089436191487e-06, + "loss": 0.3393, + "step": 26681 + }, + { + "epoch": 0.93, + "learning_rate": 2.1630325323930167e-06, + "loss": 0.3987, + "step": 26682 + }, + { + "epoch": 0.93, + "learning_rate": 2.160757305320338e-06, + "loss": 0.4442, + "step": 26683 + }, + { + "epoch": 0.93, + "learning_rate": 2.1584832624286345e-06, + "loss": 0.3994, + "step": 26684 + }, + { + "epoch": 0.93, + "learning_rate": 2.1562104037454287e-06, + "loss": 0.3929, + "step": 26685 + }, + { + "epoch": 0.93, + "learning_rate": 2.1539387292982327e-06, + "loss": 0.4077, + "step": 26686 + }, + { + "epoch": 0.93, + "learning_rate": 2.151668239114546e-06, + "loss": 0.4717, + "step": 26687 + }, + { + "epoch": 0.93, + "learning_rate": 2.1493989332218468e-06, + "loss": 0.3732, + "step": 26688 + }, + { + "epoch": 0.93, + "learning_rate": 2.147130811647602e-06, + "loss": 0.4113, + "step": 26689 + }, + { + "epoch": 0.93, + "learning_rate": 2.1448638744192674e-06, + "loss": 0.4122, + "step": 26690 + }, + { + "epoch": 0.93, + "learning_rate": 2.1425981215642653e-06, + "loss": 0.3526, + "step": 26691 + }, + { + "epoch": 0.93, + "learning_rate": 2.1403335531100297e-06, + "loss": 0.4069, + "step": 26692 + }, + { + "epoch": 0.93, + "learning_rate": 2.1380701690839723e-06, + "loss": 0.4853, + "step": 26693 + }, + { + "epoch": 0.93, + "learning_rate": 2.1358079695134815e-06, + "loss": 0.49, + "step": 26694 + }, + { + "epoch": 0.93, + "learning_rate": 2.133546954425947e-06, + "loss": 0.4099, + "step": 26695 + }, + { + "epoch": 0.93, + "learning_rate": 2.1312871238487243e-06, + "loss": 0.4032, + "step": 26696 + }, + { + "epoch": 0.93, + "learning_rate": 2.1290284778091584e-06, + "loss": 0.5276, + "step": 26697 + }, + { + "epoch": 0.93, + "learning_rate": 2.1267710163345945e-06, + "loss": 0.3536, + "step": 26698 + }, + { + "epoch": 0.93, + "learning_rate": 2.1245147394523655e-06, + "loss": 0.4075, + "step": 26699 + }, + { + "epoch": 0.93, + "learning_rate": 2.1222596471897725e-06, + "loss": 0.4163, + "step": 26700 + }, + { + "epoch": 0.93, + "learning_rate": 2.1200057395741157e-06, + "loss": 0.4204, + "step": 26701 + }, + { + "epoch": 0.93, + "learning_rate": 2.1177530166326507e-06, + "loss": 0.3539, + "step": 26702 + }, + { + "epoch": 0.93, + "learning_rate": 2.1155014783926675e-06, + "loss": 0.4381, + "step": 26703 + }, + { + "epoch": 0.93, + "learning_rate": 2.11325112488141e-06, + "loss": 0.4169, + "step": 26704 + }, + { + "epoch": 0.93, + "learning_rate": 2.111001956126113e-06, + "loss": 0.4724, + "step": 26705 + }, + { + "epoch": 0.93, + "learning_rate": 2.1087539721539986e-06, + "loss": 0.4173, + "step": 26706 + }, + { + "epoch": 0.93, + "learning_rate": 2.106507172992278e-06, + "loss": 0.4153, + "step": 26707 + }, + { + "epoch": 0.93, + "learning_rate": 2.1042615586681413e-06, + "loss": 0.3883, + "step": 26708 + }, + { + "epoch": 0.93, + "learning_rate": 2.1020171292087777e-06, + "loss": 0.4244, + "step": 26709 + }, + { + "epoch": 0.93, + "learning_rate": 2.0997738846413428e-06, + "loss": 0.4433, + "step": 26710 + }, + { + "epoch": 0.93, + "learning_rate": 2.097531824992982e-06, + "loss": 0.4004, + "step": 26711 + }, + { + "epoch": 0.93, + "learning_rate": 2.0952909502908513e-06, + "loss": 0.4318, + "step": 26712 + }, + { + "epoch": 0.93, + "learning_rate": 2.09305126056204e-06, + "loss": 0.3733, + "step": 26713 + }, + { + "epoch": 0.93, + "learning_rate": 2.090812755833693e-06, + "loss": 0.3931, + "step": 26714 + }, + { + "epoch": 0.93, + "learning_rate": 2.088575436132889e-06, + "loss": 0.4804, + "step": 26715 + }, + { + "epoch": 0.93, + "learning_rate": 2.086339301486706e-06, + "loss": 0.3694, + "step": 26716 + }, + { + "epoch": 0.93, + "learning_rate": 2.0841043519222002e-06, + "loss": 0.4828, + "step": 26717 + }, + { + "epoch": 0.93, + "learning_rate": 2.081870587466428e-06, + "loss": 0.4121, + "step": 26718 + }, + { + "epoch": 0.93, + "learning_rate": 2.079638008146423e-06, + "loss": 0.4026, + "step": 26719 + }, + { + "epoch": 0.94, + "learning_rate": 2.077406613989219e-06, + "loss": 0.342, + "step": 26720 + }, + { + "epoch": 0.94, + "learning_rate": 2.075176405021817e-06, + "loss": 0.4415, + "step": 26721 + }, + { + "epoch": 0.94, + "learning_rate": 2.0729473812712063e-06, + "loss": 0.3808, + "step": 26722 + }, + { + "epoch": 0.94, + "learning_rate": 2.0707195427643544e-06, + "loss": 0.4575, + "step": 26723 + }, + { + "epoch": 0.94, + "learning_rate": 2.068492889528262e-06, + "loss": 0.4188, + "step": 26724 + }, + { + "epoch": 0.94, + "learning_rate": 2.06626742158984e-06, + "loss": 0.4005, + "step": 26725 + }, + { + "epoch": 0.94, + "learning_rate": 2.0640431389760463e-06, + "loss": 0.4435, + "step": 26726 + }, + { + "epoch": 0.94, + "learning_rate": 2.0618200417137913e-06, + "loss": 0.4254, + "step": 26727 + }, + { + "epoch": 0.94, + "learning_rate": 2.059598129829976e-06, + "loss": 0.4307, + "step": 26728 + }, + { + "epoch": 0.94, + "learning_rate": 2.0573774033515126e-06, + "loss": 0.4026, + "step": 26729 + }, + { + "epoch": 0.94, + "learning_rate": 2.055157862305268e-06, + "loss": 0.3846, + "step": 26730 + }, + { + "epoch": 0.94, + "learning_rate": 2.052939506718121e-06, + "loss": 0.4527, + "step": 26731 + }, + { + "epoch": 0.94, + "learning_rate": 2.0507223366168948e-06, + "loss": 0.3889, + "step": 26732 + }, + { + "epoch": 0.94, + "learning_rate": 2.048506352028423e-06, + "loss": 0.3859, + "step": 26733 + }, + { + "epoch": 0.94, + "learning_rate": 2.0462915529795623e-06, + "loss": 0.4164, + "step": 26734 + }, + { + "epoch": 0.94, + "learning_rate": 2.044077939497091e-06, + "loss": 0.4322, + "step": 26735 + }, + { + "epoch": 0.94, + "learning_rate": 2.04186551160781e-06, + "loss": 0.4521, + "step": 26736 + }, + { + "epoch": 0.94, + "learning_rate": 2.039654269338498e-06, + "loss": 0.5636, + "step": 26737 + }, + { + "epoch": 0.94, + "learning_rate": 2.0374442127159e-06, + "loss": 0.3841, + "step": 26738 + }, + { + "epoch": 0.94, + "learning_rate": 2.0352353417667946e-06, + "loss": 0.399, + "step": 26739 + }, + { + "epoch": 0.94, + "learning_rate": 2.033027656517894e-06, + "loss": 0.3855, + "step": 26740 + }, + { + "epoch": 0.94, + "learning_rate": 2.0308211569959322e-06, + "loss": 0.4162, + "step": 26741 + }, + { + "epoch": 0.94, + "learning_rate": 2.0286158432276104e-06, + "loss": 0.3993, + "step": 26742 + }, + { + "epoch": 0.94, + "learning_rate": 2.026411715239618e-06, + "loss": 0.3681, + "step": 26743 + }, + { + "epoch": 0.94, + "learning_rate": 2.0242087730586333e-06, + "loss": 0.3442, + "step": 26744 + }, + { + "epoch": 0.94, + "learning_rate": 2.0220070167113136e-06, + "loss": 0.3663, + "step": 26745 + }, + { + "epoch": 0.94, + "learning_rate": 2.019806446224326e-06, + "loss": 0.3279, + "step": 26746 + }, + { + "epoch": 0.94, + "learning_rate": 2.0176070616242824e-06, + "loss": 0.3945, + "step": 26747 + }, + { + "epoch": 0.94, + "learning_rate": 2.0154088629378175e-06, + "loss": 0.456, + "step": 26748 + }, + { + "epoch": 0.94, + "learning_rate": 2.013211850191532e-06, + "loss": 0.4394, + "step": 26749 + }, + { + "epoch": 0.94, + "learning_rate": 2.0110160234120156e-06, + "loss": 0.3256, + "step": 26750 + }, + { + "epoch": 0.94, + "learning_rate": 2.0088213826258472e-06, + "loss": 0.3855, + "step": 26751 + }, + { + "epoch": 0.94, + "learning_rate": 2.0066279278595946e-06, + "loss": 0.3802, + "step": 26752 + }, + { + "epoch": 0.94, + "learning_rate": 2.004435659139792e-06, + "loss": 0.5087, + "step": 26753 + }, + { + "epoch": 0.94, + "learning_rate": 2.002244576492973e-06, + "loss": 0.349, + "step": 26754 + }, + { + "epoch": 0.94, + "learning_rate": 2.0000546799456845e-06, + "loss": 0.3834, + "step": 26755 + }, + { + "epoch": 0.94, + "learning_rate": 1.997865969524404e-06, + "loss": 0.4098, + "step": 26756 + }, + { + "epoch": 0.94, + "learning_rate": 1.995678445255633e-06, + "loss": 0.4392, + "step": 26757 + }, + { + "epoch": 0.94, + "learning_rate": 1.9934921071658396e-06, + "loss": 0.425, + "step": 26758 + }, + { + "epoch": 0.94, + "learning_rate": 1.9913069552815023e-06, + "loss": 0.3574, + "step": 26759 + }, + { + "epoch": 0.94, + "learning_rate": 1.9891229896290444e-06, + "loss": 0.3661, + "step": 26760 + }, + { + "epoch": 0.94, + "learning_rate": 1.986940210234922e-06, + "loss": 0.4168, + "step": 26761 + }, + { + "epoch": 0.94, + "learning_rate": 1.9847586171255482e-06, + "loss": 0.4018, + "step": 26762 + }, + { + "epoch": 0.94, + "learning_rate": 1.982578210327302e-06, + "loss": 0.3818, + "step": 26763 + }, + { + "epoch": 0.94, + "learning_rate": 1.9803989898666165e-06, + "loss": 0.3304, + "step": 26764 + }, + { + "epoch": 0.94, + "learning_rate": 1.9782209557698385e-06, + "loss": 0.4217, + "step": 26765 + }, + { + "epoch": 0.94, + "learning_rate": 1.9760441080633463e-06, + "loss": 0.47, + "step": 26766 + }, + { + "epoch": 0.94, + "learning_rate": 1.973868446773475e-06, + "loss": 0.3395, + "step": 26767 + }, + { + "epoch": 0.94, + "learning_rate": 1.971693971926547e-06, + "loss": 0.3801, + "step": 26768 + }, + { + "epoch": 0.94, + "learning_rate": 1.969520683548909e-06, + "loss": 0.4786, + "step": 26769 + }, + { + "epoch": 0.94, + "learning_rate": 1.96734858166685e-06, + "loss": 0.3702, + "step": 26770 + }, + { + "epoch": 0.94, + "learning_rate": 1.96517766630665e-06, + "loss": 0.4124, + "step": 26771 + }, + { + "epoch": 0.94, + "learning_rate": 1.9630079374946096e-06, + "loss": 0.3967, + "step": 26772 + }, + { + "epoch": 0.94, + "learning_rate": 1.9608393952569527e-06, + "loss": 0.4102, + "step": 26773 + }, + { + "epoch": 0.94, + "learning_rate": 1.9586720396199687e-06, + "loss": 0.3674, + "step": 26774 + }, + { + "epoch": 0.94, + "learning_rate": 1.956505870609859e-06, + "loss": 0.4162, + "step": 26775 + }, + { + "epoch": 0.94, + "learning_rate": 1.954340888252859e-06, + "loss": 0.4314, + "step": 26776 + }, + { + "epoch": 0.94, + "learning_rate": 1.9521770925751583e-06, + "loss": 0.3341, + "step": 26777 + }, + { + "epoch": 0.94, + "learning_rate": 1.9500144836029575e-06, + "loss": 0.3765, + "step": 26778 + }, + { + "epoch": 0.94, + "learning_rate": 1.947853061362415e-06, + "loss": 0.5038, + "step": 26779 + }, + { + "epoch": 0.94, + "learning_rate": 1.945692825879708e-06, + "loss": 0.462, + "step": 26780 + }, + { + "epoch": 0.94, + "learning_rate": 1.9435337771809725e-06, + "loss": 0.4049, + "step": 26781 + }, + { + "epoch": 0.94, + "learning_rate": 1.941375915292354e-06, + "loss": 0.3645, + "step": 26782 + }, + { + "epoch": 0.94, + "learning_rate": 1.9392192402399643e-06, + "loss": 0.4203, + "step": 26783 + }, + { + "epoch": 0.94, + "learning_rate": 1.9370637520498837e-06, + "loss": 0.3937, + "step": 26784 + }, + { + "epoch": 0.94, + "learning_rate": 1.9349094507482347e-06, + "loss": 0.4933, + "step": 26785 + }, + { + "epoch": 0.94, + "learning_rate": 1.9327563363610744e-06, + "loss": 0.3832, + "step": 26786 + }, + { + "epoch": 0.94, + "learning_rate": 1.9306044089144603e-06, + "loss": 0.4336, + "step": 26787 + }, + { + "epoch": 0.94, + "learning_rate": 1.928453668434449e-06, + "loss": 0.3379, + "step": 26788 + }, + { + "epoch": 0.94, + "learning_rate": 1.9263041149470527e-06, + "loss": 0.4327, + "step": 26789 + }, + { + "epoch": 0.94, + "learning_rate": 1.924155748478307e-06, + "loss": 0.3563, + "step": 26790 + }, + { + "epoch": 0.94, + "learning_rate": 1.9220085690542123e-06, + "loss": 0.3978, + "step": 26791 + }, + { + "epoch": 0.94, + "learning_rate": 1.9198625767007485e-06, + "loss": 0.4124, + "step": 26792 + }, + { + "epoch": 0.94, + "learning_rate": 1.9177177714438945e-06, + "loss": 0.4488, + "step": 26793 + }, + { + "epoch": 0.94, + "learning_rate": 1.915574153309596e-06, + "loss": 0.5099, + "step": 26794 + }, + { + "epoch": 0.94, + "learning_rate": 1.913431722323822e-06, + "loss": 0.4152, + "step": 26795 + }, + { + "epoch": 0.94, + "learning_rate": 1.9112904785124954e-06, + "loss": 0.4366, + "step": 26796 + }, + { + "epoch": 0.94, + "learning_rate": 1.909150421901518e-06, + "loss": 0.4381, + "step": 26797 + }, + { + "epoch": 0.94, + "learning_rate": 1.907011552516813e-06, + "loss": 0.3459, + "step": 26798 + }, + { + "epoch": 0.94, + "learning_rate": 1.9048738703842383e-06, + "loss": 0.5306, + "step": 26799 + }, + { + "epoch": 0.94, + "learning_rate": 1.9027373755296952e-06, + "loss": 0.4342, + "step": 26800 + }, + { + "epoch": 0.94, + "eval_loss": 0.3971897065639496, + "eval_runtime": 853.8203, + "eval_samples_per_second": 28.179, + "eval_steps_per_second": 14.09, + "step": 26800 + }, + { + "epoch": 0.94, + "learning_rate": 1.9006020679790293e-06, + "loss": 0.4637, + "step": 26801 + }, + { + "epoch": 0.94, + "learning_rate": 1.898467947758098e-06, + "loss": 0.4236, + "step": 26802 + }, + { + "epoch": 0.94, + "learning_rate": 1.896335014892714e-06, + "loss": 0.3987, + "step": 26803 + }, + { + "epoch": 0.94, + "learning_rate": 1.8942032694086897e-06, + "loss": 0.3362, + "step": 26804 + }, + { + "epoch": 0.94, + "learning_rate": 1.8920727113318494e-06, + "loss": 0.4442, + "step": 26805 + }, + { + "epoch": 0.94, + "learning_rate": 1.8899433406879608e-06, + "loss": 0.4574, + "step": 26806 + }, + { + "epoch": 0.94, + "learning_rate": 1.8878151575028036e-06, + "loss": 0.421, + "step": 26807 + }, + { + "epoch": 0.94, + "learning_rate": 1.885688161802146e-06, + "loss": 0.3953, + "step": 26808 + }, + { + "epoch": 0.94, + "learning_rate": 1.883562353611712e-06, + "loss": 0.4263, + "step": 26809 + }, + { + "epoch": 0.94, + "learning_rate": 1.8814377329572364e-06, + "loss": 0.459, + "step": 26810 + }, + { + "epoch": 0.94, + "learning_rate": 1.8793142998644319e-06, + "loss": 0.3759, + "step": 26811 + }, + { + "epoch": 0.94, + "learning_rate": 1.8771920543590227e-06, + "loss": 0.3888, + "step": 26812 + }, + { + "epoch": 0.94, + "learning_rate": 1.8750709964666657e-06, + "loss": 0.3997, + "step": 26813 + }, + { + "epoch": 0.94, + "learning_rate": 1.8729511262130517e-06, + "loss": 0.4283, + "step": 26814 + }, + { + "epoch": 0.94, + "learning_rate": 1.8708324436238156e-06, + "loss": 0.3541, + "step": 26815 + }, + { + "epoch": 0.94, + "learning_rate": 1.868714948724626e-06, + "loss": 0.4791, + "step": 26816 + }, + { + "epoch": 0.94, + "learning_rate": 1.8665986415411063e-06, + "loss": 0.3631, + "step": 26817 + }, + { + "epoch": 0.94, + "learning_rate": 1.8644835220988587e-06, + "loss": 0.4688, + "step": 26818 + }, + { + "epoch": 0.94, + "learning_rate": 1.8623695904234961e-06, + "loss": 0.467, + "step": 26819 + }, + { + "epoch": 0.94, + "learning_rate": 1.8602568465405868e-06, + "loss": 0.4419, + "step": 26820 + }, + { + "epoch": 0.94, + "learning_rate": 1.8581452904757212e-06, + "loss": 0.3622, + "step": 26821 + }, + { + "epoch": 0.94, + "learning_rate": 1.8560349222544459e-06, + "loss": 0.4367, + "step": 26822 + }, + { + "epoch": 0.94, + "learning_rate": 1.853925741902307e-06, + "loss": 0.3974, + "step": 26823 + }, + { + "epoch": 0.94, + "learning_rate": 1.8518177494448396e-06, + "loss": 0.3346, + "step": 26824 + }, + { + "epoch": 0.94, + "learning_rate": 1.8497109449075345e-06, + "loss": 0.4048, + "step": 26825 + }, + { + "epoch": 0.94, + "learning_rate": 1.8476053283159155e-06, + "loss": 0.3834, + "step": 26826 + }, + { + "epoch": 0.94, + "learning_rate": 1.8455008996954627e-06, + "loss": 0.3765, + "step": 26827 + }, + { + "epoch": 0.94, + "learning_rate": 1.8433976590716328e-06, + "loss": 0.3252, + "step": 26828 + }, + { + "epoch": 0.94, + "learning_rate": 1.841295606469895e-06, + "loss": 0.388, + "step": 26829 + }, + { + "epoch": 0.94, + "learning_rate": 1.8391947419156841e-06, + "loss": 0.4653, + "step": 26830 + }, + { + "epoch": 0.94, + "learning_rate": 1.8370950654344355e-06, + "loss": 0.3053, + "step": 26831 + }, + { + "epoch": 0.94, + "learning_rate": 1.834996577051562e-06, + "loss": 0.3695, + "step": 26832 + }, + { + "epoch": 0.94, + "learning_rate": 1.8328992767924546e-06, + "loss": 0.4076, + "step": 26833 + }, + { + "epoch": 0.94, + "learning_rate": 1.830803164682493e-06, + "loss": 0.3335, + "step": 26834 + }, + { + "epoch": 0.94, + "learning_rate": 1.8287082407470568e-06, + "loss": 0.4693, + "step": 26835 + }, + { + "epoch": 0.94, + "learning_rate": 1.8266145050115036e-06, + "loss": 0.3855, + "step": 26836 + }, + { + "epoch": 0.94, + "learning_rate": 1.8245219575011796e-06, + "loss": 0.3886, + "step": 26837 + }, + { + "epoch": 0.94, + "learning_rate": 1.822430598241398e-06, + "loss": 0.3891, + "step": 26838 + }, + { + "epoch": 0.94, + "learning_rate": 1.820340427257472e-06, + "loss": 0.403, + "step": 26839 + }, + { + "epoch": 0.94, + "learning_rate": 1.8182514445746922e-06, + "loss": 0.3799, + "step": 26840 + }, + { + "epoch": 0.94, + "learning_rate": 1.816163650218372e-06, + "loss": 0.4427, + "step": 26841 + }, + { + "epoch": 0.94, + "learning_rate": 1.8140770442137577e-06, + "loss": 0.4821, + "step": 26842 + }, + { + "epoch": 0.94, + "learning_rate": 1.811991626586118e-06, + "loss": 0.4217, + "step": 26843 + }, + { + "epoch": 0.94, + "learning_rate": 1.8099073973606773e-06, + "loss": 0.459, + "step": 26844 + }, + { + "epoch": 0.94, + "learning_rate": 1.8078243565626596e-06, + "loss": 0.4041, + "step": 26845 + }, + { + "epoch": 0.94, + "learning_rate": 1.8057425042172893e-06, + "loss": 0.4839, + "step": 26846 + }, + { + "epoch": 0.94, + "learning_rate": 1.8036618403497685e-06, + "loss": 0.3338, + "step": 26847 + }, + { + "epoch": 0.94, + "learning_rate": 1.801582364985266e-06, + "loss": 0.4409, + "step": 26848 + }, + { + "epoch": 0.94, + "learning_rate": 1.7995040781489614e-06, + "loss": 0.4743, + "step": 26849 + }, + { + "epoch": 0.94, + "learning_rate": 1.7974269798660015e-06, + "loss": 0.4259, + "step": 26850 + }, + { + "epoch": 0.94, + "learning_rate": 1.7953510701615217e-06, + "loss": 0.4746, + "step": 26851 + }, + { + "epoch": 0.94, + "learning_rate": 1.7932763490606574e-06, + "loss": 0.3977, + "step": 26852 + }, + { + "epoch": 0.94, + "learning_rate": 1.791202816588522e-06, + "loss": 0.4784, + "step": 26853 + }, + { + "epoch": 0.94, + "learning_rate": 1.7891304727702064e-06, + "loss": 0.5273, + "step": 26854 + }, + { + "epoch": 0.94, + "learning_rate": 1.7870593176307904e-06, + "loss": 0.3658, + "step": 26855 + }, + { + "epoch": 0.94, + "learning_rate": 1.784989351195332e-06, + "loss": 0.3889, + "step": 26856 + }, + { + "epoch": 0.94, + "learning_rate": 1.782920573488911e-06, + "loss": 0.3118, + "step": 26857 + }, + { + "epoch": 0.94, + "learning_rate": 1.7808529845365629e-06, + "loss": 0.3691, + "step": 26858 + }, + { + "epoch": 0.94, + "learning_rate": 1.77878658436329e-06, + "loss": 0.4474, + "step": 26859 + }, + { + "epoch": 0.94, + "learning_rate": 1.7767213729941167e-06, + "loss": 0.4414, + "step": 26860 + }, + { + "epoch": 0.94, + "learning_rate": 1.7746573504540232e-06, + "loss": 0.4668, + "step": 26861 + }, + { + "epoch": 0.94, + "learning_rate": 1.7725945167680226e-06, + "loss": 0.4423, + "step": 26862 + }, + { + "epoch": 0.94, + "learning_rate": 1.7705328719610615e-06, + "loss": 0.3574, + "step": 26863 + }, + { + "epoch": 0.94, + "learning_rate": 1.768472416058098e-06, + "loss": 0.4273, + "step": 26864 + }, + { + "epoch": 0.94, + "learning_rate": 1.7664131490840675e-06, + "loss": 0.4913, + "step": 26865 + }, + { + "epoch": 0.94, + "learning_rate": 1.7643550710638834e-06, + "loss": 0.3985, + "step": 26866 + }, + { + "epoch": 0.94, + "learning_rate": 1.7622981820224705e-06, + "loss": 0.401, + "step": 26867 + }, + { + "epoch": 0.94, + "learning_rate": 1.7602424819847308e-06, + "loss": 0.3498, + "step": 26868 + }, + { + "epoch": 0.94, + "learning_rate": 1.7581879709755333e-06, + "loss": 0.4666, + "step": 26869 + }, + { + "epoch": 0.94, + "learning_rate": 1.756134649019736e-06, + "loss": 0.4113, + "step": 26870 + }, + { + "epoch": 0.94, + "learning_rate": 1.7540825161421969e-06, + "loss": 0.4025, + "step": 26871 + }, + { + "epoch": 0.94, + "learning_rate": 1.7520315723677627e-06, + "loss": 0.4085, + "step": 26872 + }, + { + "epoch": 0.94, + "learning_rate": 1.7499818177212578e-06, + "loss": 0.4021, + "step": 26873 + }, + { + "epoch": 0.94, + "learning_rate": 1.747933252227485e-06, + "loss": 0.409, + "step": 26874 + }, + { + "epoch": 0.94, + "learning_rate": 1.745885875911235e-06, + "loss": 0.4326, + "step": 26875 + }, + { + "epoch": 0.94, + "learning_rate": 1.7438396887972885e-06, + "loss": 0.5001, + "step": 26876 + }, + { + "epoch": 0.94, + "learning_rate": 1.7417946909104033e-06, + "loss": 0.3904, + "step": 26877 + }, + { + "epoch": 0.94, + "learning_rate": 1.7397508822753594e-06, + "loss": 0.3815, + "step": 26878 + }, + { + "epoch": 0.94, + "learning_rate": 1.7377082629168706e-06, + "loss": 0.3651, + "step": 26879 + }, + { + "epoch": 0.94, + "learning_rate": 1.7356668328596615e-06, + "loss": 0.4828, + "step": 26880 + }, + { + "epoch": 0.94, + "learning_rate": 1.7336265921284457e-06, + "loss": 0.4319, + "step": 26881 + }, + { + "epoch": 0.94, + "learning_rate": 1.7315875407479032e-06, + "loss": 0.3513, + "step": 26882 + }, + { + "epoch": 0.94, + "learning_rate": 1.7295496787427368e-06, + "loss": 0.469, + "step": 26883 + }, + { + "epoch": 0.94, + "learning_rate": 1.7275130061375932e-06, + "loss": 0.4348, + "step": 26884 + }, + { + "epoch": 0.94, + "learning_rate": 1.7254775229571307e-06, + "loss": 0.4146, + "step": 26885 + }, + { + "epoch": 0.94, + "learning_rate": 1.723443229225985e-06, + "loss": 0.4639, + "step": 26886 + }, + { + "epoch": 0.94, + "learning_rate": 1.7214101249687698e-06, + "loss": 0.4052, + "step": 26887 + }, + { + "epoch": 0.94, + "learning_rate": 1.7193782102100986e-06, + "loss": 0.5223, + "step": 26888 + }, + { + "epoch": 0.94, + "learning_rate": 1.717347484974574e-06, + "loss": 0.402, + "step": 26889 + }, + { + "epoch": 0.94, + "learning_rate": 1.7153179492867654e-06, + "loss": 0.381, + "step": 26890 + }, + { + "epoch": 0.94, + "learning_rate": 1.713289603171231e-06, + "loss": 0.3762, + "step": 26891 + }, + { + "epoch": 0.94, + "learning_rate": 1.7112624466525173e-06, + "loss": 0.3934, + "step": 26892 + }, + { + "epoch": 0.94, + "learning_rate": 1.709236479755194e-06, + "loss": 0.4631, + "step": 26893 + }, + { + "epoch": 0.94, + "learning_rate": 1.7072117025037415e-06, + "loss": 0.3926, + "step": 26894 + }, + { + "epoch": 0.94, + "learning_rate": 1.7051881149226845e-06, + "loss": 0.4059, + "step": 26895 + }, + { + "epoch": 0.94, + "learning_rate": 1.7031657170364924e-06, + "loss": 0.458, + "step": 26896 + }, + { + "epoch": 0.94, + "learning_rate": 1.7011445088696898e-06, + "loss": 0.3665, + "step": 26897 + }, + { + "epoch": 0.94, + "learning_rate": 1.699124490446702e-06, + "loss": 0.4257, + "step": 26898 + }, + { + "epoch": 0.94, + "learning_rate": 1.6971056617919867e-06, + "loss": 0.4652, + "step": 26899 + }, + { + "epoch": 0.94, + "learning_rate": 1.6950880229299804e-06, + "loss": 0.3736, + "step": 26900 + }, + { + "epoch": 0.94, + "learning_rate": 1.6930715738851078e-06, + "loss": 0.3702, + "step": 26901 + }, + { + "epoch": 0.94, + "learning_rate": 1.6910563146817714e-06, + "loss": 0.4008, + "step": 26902 + }, + { + "epoch": 0.94, + "learning_rate": 1.6890422453443522e-06, + "loss": 0.4197, + "step": 26903 + }, + { + "epoch": 0.94, + "learning_rate": 1.6870293658972525e-06, + "loss": 0.453, + "step": 26904 + }, + { + "epoch": 0.94, + "learning_rate": 1.6850176763648085e-06, + "loss": 0.3736, + "step": 26905 + }, + { + "epoch": 0.94, + "learning_rate": 1.6830071767713673e-06, + "loss": 0.4024, + "step": 26906 + }, + { + "epoch": 0.94, + "learning_rate": 1.6809978671412873e-06, + "loss": 0.4214, + "step": 26907 + }, + { + "epoch": 0.94, + "learning_rate": 1.6789897474988824e-06, + "loss": 0.4236, + "step": 26908 + }, + { + "epoch": 0.94, + "learning_rate": 1.6769828178684333e-06, + "loss": 0.3446, + "step": 26909 + }, + { + "epoch": 0.94, + "learning_rate": 1.6749770782742647e-06, + "loss": 0.4129, + "step": 26910 + }, + { + "epoch": 0.94, + "learning_rate": 1.672972528740624e-06, + "loss": 0.3829, + "step": 26911 + }, + { + "epoch": 0.94, + "learning_rate": 1.6709691692917807e-06, + "loss": 0.4532, + "step": 26912 + }, + { + "epoch": 0.94, + "learning_rate": 1.6689669999519819e-06, + "loss": 0.4552, + "step": 26913 + }, + { + "epoch": 0.94, + "learning_rate": 1.666966020745475e-06, + "loss": 0.3713, + "step": 26914 + }, + { + "epoch": 0.94, + "learning_rate": 1.6649662316964633e-06, + "loss": 0.4264, + "step": 26915 + }, + { + "epoch": 0.94, + "learning_rate": 1.6629676328291598e-06, + "loss": 0.3772, + "step": 26916 + }, + { + "epoch": 0.94, + "learning_rate": 1.660970224167746e-06, + "loss": 0.4567, + "step": 26917 + }, + { + "epoch": 0.94, + "learning_rate": 1.6589740057363911e-06, + "loss": 0.3948, + "step": 26918 + }, + { + "epoch": 0.94, + "learning_rate": 1.6569789775592758e-06, + "loss": 0.3937, + "step": 26919 + }, + { + "epoch": 0.94, + "learning_rate": 1.6549851396605477e-06, + "loss": 0.3966, + "step": 26920 + }, + { + "epoch": 0.94, + "learning_rate": 1.6529924920643093e-06, + "loss": 0.4272, + "step": 26921 + }, + { + "epoch": 0.94, + "learning_rate": 1.651001034794697e-06, + "loss": 0.382, + "step": 26922 + }, + { + "epoch": 0.94, + "learning_rate": 1.6490107678758249e-06, + "loss": 0.3774, + "step": 26923 + }, + { + "epoch": 0.94, + "learning_rate": 1.6470216913317626e-06, + "loss": 0.3466, + "step": 26924 + }, + { + "epoch": 0.94, + "learning_rate": 1.645033805186591e-06, + "loss": 0.4552, + "step": 26925 + }, + { + "epoch": 0.94, + "learning_rate": 1.6430471094643795e-06, + "loss": 0.4397, + "step": 26926 + }, + { + "epoch": 0.94, + "learning_rate": 1.6410616041891536e-06, + "loss": 0.4445, + "step": 26927 + }, + { + "epoch": 0.94, + "learning_rate": 1.6390772893849716e-06, + "loss": 0.4009, + "step": 26928 + }, + { + "epoch": 0.94, + "learning_rate": 1.6370941650758254e-06, + "loss": 0.4212, + "step": 26929 + }, + { + "epoch": 0.94, + "learning_rate": 1.6351122312857402e-06, + "loss": 0.4385, + "step": 26930 + }, + { + "epoch": 0.94, + "learning_rate": 1.633131488038686e-06, + "loss": 0.3647, + "step": 26931 + }, + { + "epoch": 0.94, + "learning_rate": 1.6311519353586324e-06, + "loss": 0.3242, + "step": 26932 + }, + { + "epoch": 0.94, + "learning_rate": 1.629173573269549e-06, + "loss": 0.3748, + "step": 26933 + }, + { + "epoch": 0.94, + "learning_rate": 1.6271964017953835e-06, + "loss": 0.4187, + "step": 26934 + }, + { + "epoch": 0.94, + "learning_rate": 1.625220420960072e-06, + "loss": 0.4411, + "step": 26935 + }, + { + "epoch": 0.94, + "learning_rate": 1.6232456307875066e-06, + "loss": 0.4055, + "step": 26936 + }, + { + "epoch": 0.94, + "learning_rate": 1.6212720313016127e-06, + "loss": 0.427, + "step": 26937 + }, + { + "epoch": 0.94, + "learning_rate": 1.6192996225262603e-06, + "loss": 0.3943, + "step": 26938 + }, + { + "epoch": 0.94, + "learning_rate": 1.6173284044853298e-06, + "loss": 0.4396, + "step": 26939 + }, + { + "epoch": 0.94, + "learning_rate": 1.6153583772026915e-06, + "loss": 0.3641, + "step": 26940 + }, + { + "epoch": 0.94, + "learning_rate": 1.6133895407021705e-06, + "loss": 0.4134, + "step": 26941 + }, + { + "epoch": 0.94, + "learning_rate": 1.611421895007592e-06, + "loss": 0.4489, + "step": 26942 + }, + { + "epoch": 0.94, + "learning_rate": 1.609455440142793e-06, + "loss": 0.3901, + "step": 26943 + }, + { + "epoch": 0.94, + "learning_rate": 1.6074901761315652e-06, + "loss": 0.4045, + "step": 26944 + }, + { + "epoch": 0.94, + "learning_rate": 1.6055261029976898e-06, + "loss": 0.4112, + "step": 26945 + }, + { + "epoch": 0.94, + "learning_rate": 1.6035632207649366e-06, + "loss": 0.3901, + "step": 26946 + }, + { + "epoch": 0.94, + "learning_rate": 1.6016015294570753e-06, + "loss": 0.3721, + "step": 26947 + }, + { + "epoch": 0.94, + "learning_rate": 1.5996410290978314e-06, + "loss": 0.3255, + "step": 26948 + }, + { + "epoch": 0.94, + "learning_rate": 1.597681719710953e-06, + "loss": 0.4446, + "step": 26949 + }, + { + "epoch": 0.94, + "learning_rate": 1.5957236013201427e-06, + "loss": 0.3904, + "step": 26950 + }, + { + "epoch": 0.94, + "learning_rate": 1.5937666739491042e-06, + "loss": 0.3854, + "step": 26951 + }, + { + "epoch": 0.94, + "learning_rate": 1.5918109376215184e-06, + "loss": 0.4504, + "step": 26952 + }, + { + "epoch": 0.94, + "learning_rate": 1.5898563923610554e-06, + "loss": 0.3336, + "step": 26953 + }, + { + "epoch": 0.94, + "learning_rate": 1.587903038191374e-06, + "loss": 0.4351, + "step": 26954 + }, + { + "epoch": 0.94, + "learning_rate": 1.585950875136133e-06, + "loss": 0.4047, + "step": 26955 + }, + { + "epoch": 0.94, + "learning_rate": 1.5839999032189357e-06, + "loss": 0.405, + "step": 26956 + }, + { + "epoch": 0.94, + "learning_rate": 1.5820501224634077e-06, + "loss": 0.3564, + "step": 26957 + }, + { + "epoch": 0.94, + "learning_rate": 1.5801015328931301e-06, + "loss": 0.3185, + "step": 26958 + }, + { + "epoch": 0.94, + "learning_rate": 1.5781541345317174e-06, + "loss": 0.4117, + "step": 26959 + }, + { + "epoch": 0.94, + "learning_rate": 1.5762079274027175e-06, + "loss": 0.3693, + "step": 26960 + }, + { + "epoch": 0.94, + "learning_rate": 1.5742629115296892e-06, + "loss": 0.4043, + "step": 26961 + }, + { + "epoch": 0.94, + "learning_rate": 1.5723190869361914e-06, + "loss": 0.4505, + "step": 26962 + }, + { + "epoch": 0.94, + "learning_rate": 1.5703764536457166e-06, + "loss": 0.466, + "step": 26963 + }, + { + "epoch": 0.94, + "learning_rate": 1.5684350116818013e-06, + "loss": 0.397, + "step": 26964 + }, + { + "epoch": 0.94, + "learning_rate": 1.5664947610679493e-06, + "loss": 0.3823, + "step": 26965 + }, + { + "epoch": 0.94, + "learning_rate": 1.5645557018276303e-06, + "loss": 0.4353, + "step": 26966 + }, + { + "epoch": 0.94, + "learning_rate": 1.5626178339843144e-06, + "loss": 0.4552, + "step": 26967 + }, + { + "epoch": 0.94, + "learning_rate": 1.560681157561461e-06, + "loss": 0.4546, + "step": 26968 + }, + { + "epoch": 0.94, + "learning_rate": 1.5587456725825068e-06, + "loss": 0.3698, + "step": 26969 + }, + { + "epoch": 0.94, + "learning_rate": 1.5568113790708771e-06, + "loss": 0.38, + "step": 26970 + }, + { + "epoch": 0.94, + "learning_rate": 1.554878277049987e-06, + "loss": 0.3512, + "step": 26971 + }, + { + "epoch": 0.94, + "learning_rate": 1.5529463665432398e-06, + "loss": 0.3687, + "step": 26972 + }, + { + "epoch": 0.94, + "learning_rate": 1.5510156475739946e-06, + "loss": 0.5283, + "step": 26973 + }, + { + "epoch": 0.94, + "learning_rate": 1.5490861201656436e-06, + "loss": 0.4317, + "step": 26974 + }, + { + "epoch": 0.94, + "learning_rate": 1.5471577843415353e-06, + "loss": 0.3459, + "step": 26975 + }, + { + "epoch": 0.94, + "learning_rate": 1.545230640124995e-06, + "loss": 0.5018, + "step": 26976 + }, + { + "epoch": 0.94, + "learning_rate": 1.543304687539371e-06, + "loss": 0.4503, + "step": 26977 + }, + { + "epoch": 0.94, + "learning_rate": 1.5413799266079554e-06, + "loss": 0.4054, + "step": 26978 + }, + { + "epoch": 0.94, + "learning_rate": 1.539456357354041e-06, + "loss": 0.478, + "step": 26979 + }, + { + "epoch": 0.94, + "learning_rate": 1.5375339798009203e-06, + "loss": 0.4164, + "step": 26980 + }, + { + "epoch": 0.94, + "learning_rate": 1.5356127939718635e-06, + "loss": 0.4137, + "step": 26981 + }, + { + "epoch": 0.94, + "learning_rate": 1.5336927998901184e-06, + "loss": 0.4696, + "step": 26982 + }, + { + "epoch": 0.94, + "learning_rate": 1.5317739975789226e-06, + "loss": 0.4095, + "step": 26983 + }, + { + "epoch": 0.94, + "learning_rate": 1.5298563870615012e-06, + "loss": 0.4747, + "step": 26984 + }, + { + "epoch": 0.94, + "learning_rate": 1.5279399683610585e-06, + "loss": 0.3894, + "step": 26985 + }, + { + "epoch": 0.94, + "learning_rate": 1.5260247415007978e-06, + "loss": 0.4318, + "step": 26986 + }, + { + "epoch": 0.94, + "learning_rate": 1.5241107065039006e-06, + "loss": 0.4177, + "step": 26987 + }, + { + "epoch": 0.94, + "learning_rate": 1.5221978633935152e-06, + "loss": 0.4277, + "step": 26988 + }, + { + "epoch": 0.94, + "learning_rate": 1.5202862121928118e-06, + "loss": 0.387, + "step": 26989 + }, + { + "epoch": 0.94, + "learning_rate": 1.5183757529249276e-06, + "loss": 0.39, + "step": 26990 + }, + { + "epoch": 0.94, + "learning_rate": 1.5164664856129773e-06, + "loss": 0.436, + "step": 26991 + }, + { + "epoch": 0.94, + "learning_rate": 1.5145584102800646e-06, + "loss": 0.4162, + "step": 26992 + }, + { + "epoch": 0.94, + "learning_rate": 1.5126515269493046e-06, + "loss": 0.4131, + "step": 26993 + }, + { + "epoch": 0.94, + "learning_rate": 1.5107458356437564e-06, + "loss": 0.4404, + "step": 26994 + }, + { + "epoch": 0.94, + "learning_rate": 1.5088413363864906e-06, + "loss": 0.4509, + "step": 26995 + }, + { + "epoch": 0.94, + "learning_rate": 1.5069380292005663e-06, + "loss": 0.397, + "step": 26996 + }, + { + "epoch": 0.94, + "learning_rate": 1.5050359141090098e-06, + "loss": 0.3995, + "step": 26997 + }, + { + "epoch": 0.94, + "learning_rate": 1.5031349911348468e-06, + "loss": 0.434, + "step": 26998 + }, + { + "epoch": 0.94, + "learning_rate": 1.5012352603010816e-06, + "loss": 0.5158, + "step": 26999 + }, + { + "epoch": 0.94, + "learning_rate": 1.4993367216307176e-06, + "loss": 0.4209, + "step": 27000 + }, + { + "epoch": 0.94, + "eval_loss": 0.3968821167945862, + "eval_runtime": 844.9311, + "eval_samples_per_second": 28.476, + "eval_steps_per_second": 14.238, + "step": 27000 + }, + { + "epoch": 0.94, + "learning_rate": 1.4974393751467252e-06, + "loss": 0.413, + "step": 27001 + }, + { + "epoch": 0.94, + "learning_rate": 1.4955432208720642e-06, + "loss": 0.422, + "step": 27002 + }, + { + "epoch": 0.94, + "learning_rate": 1.493648258829694e-06, + "loss": 0.3675, + "step": 27003 + }, + { + "epoch": 0.94, + "learning_rate": 1.4917544890425406e-06, + "loss": 0.4044, + "step": 27004 + }, + { + "epoch": 0.95, + "learning_rate": 1.489861911533541e-06, + "loss": 0.4135, + "step": 27005 + }, + { + "epoch": 0.95, + "learning_rate": 1.4879705263255772e-06, + "loss": 0.4393, + "step": 27006 + }, + { + "epoch": 0.95, + "learning_rate": 1.486080333441564e-06, + "loss": 0.3751, + "step": 27007 + }, + { + "epoch": 0.95, + "learning_rate": 1.4841913329043722e-06, + "loss": 0.4493, + "step": 27008 + }, + { + "epoch": 0.95, + "learning_rate": 1.48230352473685e-06, + "loss": 0.4853, + "step": 27009 + }, + { + "epoch": 0.95, + "learning_rate": 1.480416908961868e-06, + "loss": 0.3949, + "step": 27010 + }, + { + "epoch": 0.95, + "learning_rate": 1.4785314856022526e-06, + "loss": 0.3719, + "step": 27011 + }, + { + "epoch": 0.95, + "learning_rate": 1.4766472546808297e-06, + "loss": 0.4611, + "step": 27012 + }, + { + "epoch": 0.95, + "learning_rate": 1.4747642162203923e-06, + "loss": 0.4369, + "step": 27013 + }, + { + "epoch": 0.95, + "learning_rate": 1.4728823702437334e-06, + "loss": 0.3331, + "step": 27014 + }, + { + "epoch": 0.95, + "learning_rate": 1.4710017167736234e-06, + "loss": 0.3737, + "step": 27015 + }, + { + "epoch": 0.95, + "learning_rate": 1.4691222558328443e-06, + "loss": 0.3333, + "step": 27016 + }, + { + "epoch": 0.95, + "learning_rate": 1.4672439874441336e-06, + "loss": 0.3875, + "step": 27017 + }, + { + "epoch": 0.95, + "learning_rate": 1.4653669116302282e-06, + "loss": 0.4035, + "step": 27018 + }, + { + "epoch": 0.95, + "learning_rate": 1.4634910284138437e-06, + "loss": 0.4043, + "step": 27019 + }, + { + "epoch": 0.95, + "learning_rate": 1.4616163378176729e-06, + "loss": 0.4024, + "step": 27020 + }, + { + "epoch": 0.95, + "learning_rate": 1.4597428398644308e-06, + "loss": 0.3676, + "step": 27021 + }, + { + "epoch": 0.95, + "learning_rate": 1.4578705345767662e-06, + "loss": 0.4522, + "step": 27022 + }, + { + "epoch": 0.95, + "learning_rate": 1.4559994219773609e-06, + "loss": 0.3963, + "step": 27023 + }, + { + "epoch": 0.95, + "learning_rate": 1.4541295020888633e-06, + "loss": 0.3881, + "step": 27024 + }, + { + "epoch": 0.95, + "learning_rate": 1.4522607749338778e-06, + "loss": 0.3737, + "step": 27025 + }, + { + "epoch": 0.95, + "learning_rate": 1.4503932405350529e-06, + "loss": 0.3904, + "step": 27026 + }, + { + "epoch": 0.95, + "learning_rate": 1.4485268989149814e-06, + "loss": 0.3684, + "step": 27027 + }, + { + "epoch": 0.95, + "learning_rate": 1.4466617500962454e-06, + "loss": 0.415, + "step": 27028 + }, + { + "epoch": 0.95, + "learning_rate": 1.4447977941014269e-06, + "loss": 0.3902, + "step": 27029 + }, + { + "epoch": 0.95, + "learning_rate": 1.4429350309530853e-06, + "loss": 0.3841, + "step": 27030 + }, + { + "epoch": 0.95, + "learning_rate": 1.4410734606737585e-06, + "loss": 0.4142, + "step": 27031 + }, + { + "epoch": 0.95, + "learning_rate": 1.4392130832859952e-06, + "loss": 0.3511, + "step": 27032 + }, + { + "epoch": 0.95, + "learning_rate": 1.4373538988122881e-06, + "loss": 0.3928, + "step": 27033 + }, + { + "epoch": 0.95, + "learning_rate": 1.4354959072751529e-06, + "loss": 0.4286, + "step": 27034 + }, + { + "epoch": 0.95, + "learning_rate": 1.4336391086970824e-06, + "loss": 0.4038, + "step": 27035 + }, + { + "epoch": 0.95, + "learning_rate": 1.4317835031005479e-06, + "loss": 0.4515, + "step": 27036 + }, + { + "epoch": 0.95, + "learning_rate": 1.4299290905080088e-06, + "loss": 0.3262, + "step": 27037 + }, + { + "epoch": 0.95, + "learning_rate": 1.4280758709418918e-06, + "loss": 0.4824, + "step": 27038 + }, + { + "epoch": 0.95, + "learning_rate": 1.4262238444246457e-06, + "loss": 0.4419, + "step": 27039 + }, + { + "epoch": 0.95, + "learning_rate": 1.4243730109786858e-06, + "loss": 0.3839, + "step": 27040 + }, + { + "epoch": 0.95, + "learning_rate": 1.4225233706264052e-06, + "loss": 0.4052, + "step": 27041 + }, + { + "epoch": 0.95, + "learning_rate": 1.4206749233902084e-06, + "loss": 0.4279, + "step": 27042 + }, + { + "epoch": 0.95, + "learning_rate": 1.418827669292444e-06, + "loss": 0.3585, + "step": 27043 + }, + { + "epoch": 0.95, + "learning_rate": 1.4169816083554721e-06, + "loss": 0.4005, + "step": 27044 + }, + { + "epoch": 0.95, + "learning_rate": 1.4151367406016525e-06, + "loss": 0.4125, + "step": 27045 + }, + { + "epoch": 0.95, + "learning_rate": 1.4132930660533118e-06, + "loss": 0.3829, + "step": 27046 + }, + { + "epoch": 0.95, + "learning_rate": 1.411450584732754e-06, + "loss": 0.3714, + "step": 27047 + }, + { + "epoch": 0.95, + "learning_rate": 1.4096092966622843e-06, + "loss": 0.5235, + "step": 27048 + }, + { + "epoch": 0.95, + "learning_rate": 1.4077692018641842e-06, + "loss": 0.3987, + "step": 27049 + }, + { + "epoch": 0.95, + "learning_rate": 1.4059303003607248e-06, + "loss": 0.4304, + "step": 27050 + }, + { + "epoch": 0.95, + "learning_rate": 1.4040925921741776e-06, + "loss": 0.3647, + "step": 27051 + }, + { + "epoch": 0.95, + "learning_rate": 1.402256077326769e-06, + "loss": 0.3982, + "step": 27052 + }, + { + "epoch": 0.95, + "learning_rate": 1.4004207558407367e-06, + "loss": 0.447, + "step": 27053 + }, + { + "epoch": 0.95, + "learning_rate": 1.3985866277382965e-06, + "loss": 0.3906, + "step": 27054 + }, + { + "epoch": 0.95, + "learning_rate": 1.3967536930416191e-06, + "loss": 0.4055, + "step": 27055 + }, + { + "epoch": 0.95, + "learning_rate": 1.3949219517729316e-06, + "loss": 0.4584, + "step": 27056 + }, + { + "epoch": 0.95, + "learning_rate": 1.3930914039543718e-06, + "loss": 0.4496, + "step": 27057 + }, + { + "epoch": 0.95, + "learning_rate": 1.3912620496081218e-06, + "loss": 0.4065, + "step": 27058 + }, + { + "epoch": 0.95, + "learning_rate": 1.3894338887562974e-06, + "loss": 0.3565, + "step": 27059 + }, + { + "epoch": 0.95, + "learning_rate": 1.3876069214210252e-06, + "loss": 0.4169, + "step": 27060 + }, + { + "epoch": 0.95, + "learning_rate": 1.3857811476244431e-06, + "loss": 0.4189, + "step": 27061 + }, + { + "epoch": 0.95, + "learning_rate": 1.3839565673886334e-06, + "loss": 0.4613, + "step": 27062 + }, + { + "epoch": 0.95, + "learning_rate": 1.3821331807356786e-06, + "loss": 0.417, + "step": 27063 + }, + { + "epoch": 0.95, + "learning_rate": 1.3803109876876608e-06, + "loss": 0.4044, + "step": 27064 + }, + { + "epoch": 0.95, + "learning_rate": 1.378489988266607e-06, + "loss": 0.376, + "step": 27065 + }, + { + "epoch": 0.95, + "learning_rate": 1.3766701824945772e-06, + "loss": 0.3169, + "step": 27066 + }, + { + "epoch": 0.95, + "learning_rate": 1.3748515703935982e-06, + "loss": 0.3775, + "step": 27067 + }, + { + "epoch": 0.95, + "learning_rate": 1.373034151985686e-06, + "loss": 0.4154, + "step": 27068 + }, + { + "epoch": 0.95, + "learning_rate": 1.3712179272928227e-06, + "loss": 0.3925, + "step": 27069 + }, + { + "epoch": 0.95, + "learning_rate": 1.3694028963369799e-06, + "loss": 0.4283, + "step": 27070 + }, + { + "epoch": 0.95, + "learning_rate": 1.367589059140162e-06, + "loss": 0.3371, + "step": 27071 + }, + { + "epoch": 0.95, + "learning_rate": 1.3657764157242958e-06, + "loss": 0.5294, + "step": 27072 + }, + { + "epoch": 0.95, + "learning_rate": 1.3639649661113308e-06, + "loss": 0.402, + "step": 27073 + }, + { + "epoch": 0.95, + "learning_rate": 1.3621547103231936e-06, + "loss": 0.338, + "step": 27074 + }, + { + "epoch": 0.95, + "learning_rate": 1.3603456483817668e-06, + "loss": 0.4179, + "step": 27075 + }, + { + "epoch": 0.95, + "learning_rate": 1.3585377803089883e-06, + "loss": 0.4505, + "step": 27076 + }, + { + "epoch": 0.95, + "learning_rate": 1.3567311061267075e-06, + "loss": 0.3784, + "step": 27077 + }, + { + "epoch": 0.95, + "learning_rate": 1.3549256258568177e-06, + "loss": 0.4063, + "step": 27078 + }, + { + "epoch": 0.95, + "learning_rate": 1.3531213395211461e-06, + "loss": 0.3714, + "step": 27079 + }, + { + "epoch": 0.95, + "learning_rate": 1.351318247141542e-06, + "loss": 0.4097, + "step": 27080 + }, + { + "epoch": 0.95, + "learning_rate": 1.349516348739821e-06, + "loss": 0.4176, + "step": 27081 + }, + { + "epoch": 0.95, + "learning_rate": 1.347715644337799e-06, + "loss": 0.4423, + "step": 27082 + }, + { + "epoch": 0.95, + "learning_rate": 1.3459161339572811e-06, + "loss": 0.4107, + "step": 27083 + }, + { + "epoch": 0.95, + "learning_rate": 1.3441178176200276e-06, + "loss": 0.3887, + "step": 27084 + }, + { + "epoch": 0.95, + "learning_rate": 1.3423206953478206e-06, + "loss": 0.4067, + "step": 27085 + }, + { + "epoch": 0.95, + "learning_rate": 1.3405247671623877e-06, + "loss": 0.3583, + "step": 27086 + }, + { + "epoch": 0.95, + "learning_rate": 1.3387300330855001e-06, + "loss": 0.4892, + "step": 27087 + }, + { + "epoch": 0.95, + "learning_rate": 1.3369364931388518e-06, + "loss": 0.3718, + "step": 27088 + }, + { + "epoch": 0.95, + "learning_rate": 1.3351441473441695e-06, + "loss": 0.409, + "step": 27089 + }, + { + "epoch": 0.95, + "learning_rate": 1.333352995723125e-06, + "loss": 0.4789, + "step": 27090 + }, + { + "epoch": 0.95, + "learning_rate": 1.331563038297412e-06, + "loss": 0.4342, + "step": 27091 + }, + { + "epoch": 0.95, + "learning_rate": 1.329774275088702e-06, + "loss": 0.2999, + "step": 27092 + }, + { + "epoch": 0.95, + "learning_rate": 1.3279867061186224e-06, + "loss": 0.4006, + "step": 27093 + }, + { + "epoch": 0.95, + "learning_rate": 1.3262003314088333e-06, + "loss": 0.441, + "step": 27094 + }, + { + "epoch": 0.95, + "learning_rate": 1.3244151509809398e-06, + "loss": 0.4933, + "step": 27095 + }, + { + "epoch": 0.95, + "learning_rate": 1.322631164856547e-06, + "loss": 0.4179, + "step": 27096 + }, + { + "epoch": 0.95, + "learning_rate": 1.3208483730572596e-06, + "loss": 0.4464, + "step": 27097 + }, + { + "epoch": 0.95, + "learning_rate": 1.3190667756046492e-06, + "loss": 0.4521, + "step": 27098 + }, + { + "epoch": 0.95, + "learning_rate": 1.3172863725202879e-06, + "loss": 0.4688, + "step": 27099 + }, + { + "epoch": 0.95, + "learning_rate": 1.315507163825702e-06, + "loss": 0.4071, + "step": 27100 + }, + { + "epoch": 0.95, + "learning_rate": 1.313729149542442e-06, + "loss": 0.3975, + "step": 27101 + }, + { + "epoch": 0.95, + "learning_rate": 1.3119523296920232e-06, + "loss": 0.3843, + "step": 27102 + }, + { + "epoch": 0.95, + "learning_rate": 1.3101767042959624e-06, + "loss": 0.4339, + "step": 27103 + }, + { + "epoch": 0.95, + "learning_rate": 1.3084022733757306e-06, + "loss": 0.4046, + "step": 27104 + }, + { + "epoch": 0.95, + "learning_rate": 1.3066290369528223e-06, + "loss": 0.372, + "step": 27105 + }, + { + "epoch": 0.95, + "learning_rate": 1.3048569950486755e-06, + "loss": 0.3987, + "step": 27106 + }, + { + "epoch": 0.95, + "learning_rate": 1.3030861476847733e-06, + "loss": 0.3876, + "step": 27107 + }, + { + "epoch": 0.95, + "learning_rate": 1.3013164948825207e-06, + "loss": 0.4541, + "step": 27108 + }, + { + "epoch": 0.95, + "learning_rate": 1.2995480366633562e-06, + "loss": 0.4692, + "step": 27109 + }, + { + "epoch": 0.95, + "learning_rate": 1.2977807730486624e-06, + "loss": 0.4435, + "step": 27110 + }, + { + "epoch": 0.95, + "learning_rate": 1.2960147040598447e-06, + "loss": 0.4972, + "step": 27111 + }, + { + "epoch": 0.95, + "learning_rate": 1.2942498297182749e-06, + "loss": 0.39, + "step": 27112 + }, + { + "epoch": 0.95, + "learning_rate": 1.2924861500453024e-06, + "loss": 0.4528, + "step": 27113 + }, + { + "epoch": 0.95, + "learning_rate": 1.2907236650622988e-06, + "loss": 0.3415, + "step": 27114 + }, + { + "epoch": 0.95, + "learning_rate": 1.28896237479057e-06, + "loss": 0.4431, + "step": 27115 + }, + { + "epoch": 0.95, + "learning_rate": 1.2872022792514538e-06, + "loss": 0.3967, + "step": 27116 + }, + { + "epoch": 0.95, + "learning_rate": 1.2854433784662334e-06, + "loss": 0.4156, + "step": 27117 + }, + { + "epoch": 0.95, + "learning_rate": 1.283685672456214e-06, + "loss": 0.4001, + "step": 27118 + }, + { + "epoch": 0.95, + "learning_rate": 1.2819291612426675e-06, + "loss": 0.361, + "step": 27119 + }, + { + "epoch": 0.95, + "learning_rate": 1.2801738448468547e-06, + "loss": 0.3786, + "step": 27120 + }, + { + "epoch": 0.95, + "learning_rate": 1.278419723290003e-06, + "loss": 0.4494, + "step": 27121 + }, + { + "epoch": 0.95, + "learning_rate": 1.276666796593362e-06, + "loss": 0.3772, + "step": 27122 + }, + { + "epoch": 0.95, + "learning_rate": 1.274915064778137e-06, + "loss": 0.4233, + "step": 27123 + }, + { + "epoch": 0.95, + "learning_rate": 1.2731645278655445e-06, + "loss": 0.3178, + "step": 27124 + }, + { + "epoch": 0.95, + "learning_rate": 1.2714151858767565e-06, + "loss": 0.41, + "step": 27125 + }, + { + "epoch": 0.95, + "learning_rate": 1.2696670388329556e-06, + "loss": 0.3757, + "step": 27126 + }, + { + "epoch": 0.95, + "learning_rate": 1.267920086755281e-06, + "loss": 0.3794, + "step": 27127 + }, + { + "epoch": 0.95, + "learning_rate": 1.2661743296649041e-06, + "loss": 0.3437, + "step": 27128 + }, + { + "epoch": 0.95, + "learning_rate": 1.264429767582953e-06, + "loss": 0.3674, + "step": 27129 + }, + { + "epoch": 0.95, + "learning_rate": 1.2626864005305217e-06, + "loss": 0.3524, + "step": 27130 + }, + { + "epoch": 0.95, + "learning_rate": 1.2609442285287154e-06, + "loss": 0.4362, + "step": 27131 + }, + { + "epoch": 0.95, + "learning_rate": 1.2592032515986285e-06, + "loss": 0.3715, + "step": 27132 + }, + { + "epoch": 0.95, + "learning_rate": 1.2574634697613219e-06, + "loss": 0.424, + "step": 27133 + }, + { + "epoch": 0.95, + "learning_rate": 1.2557248830378787e-06, + "loss": 0.3699, + "step": 27134 + }, + { + "epoch": 0.95, + "learning_rate": 1.2539874914493154e-06, + "loss": 0.4117, + "step": 27135 + }, + { + "epoch": 0.95, + "learning_rate": 1.252251295016671e-06, + "loss": 0.472, + "step": 27136 + }, + { + "epoch": 0.95, + "learning_rate": 1.2505162937609393e-06, + "loss": 0.4278, + "step": 27137 + }, + { + "epoch": 0.95, + "learning_rate": 1.2487824877031594e-06, + "loss": 0.4068, + "step": 27138 + }, + { + "epoch": 0.95, + "learning_rate": 1.2470498768642813e-06, + "loss": 0.305, + "step": 27139 + }, + { + "epoch": 0.95, + "learning_rate": 1.2453184612652879e-06, + "loss": 0.3672, + "step": 27140 + }, + { + "epoch": 0.95, + "learning_rate": 1.2435882409271404e-06, + "loss": 0.4377, + "step": 27141 + }, + { + "epoch": 0.95, + "learning_rate": 1.2418592158707665e-06, + "loss": 0.4077, + "step": 27142 + }, + { + "epoch": 0.95, + "learning_rate": 1.240131386117116e-06, + "loss": 0.4363, + "step": 27143 + }, + { + "epoch": 0.95, + "learning_rate": 1.2384047516870723e-06, + "loss": 0.5078, + "step": 27144 + }, + { + "epoch": 0.95, + "learning_rate": 1.236679312601563e-06, + "loss": 0.3977, + "step": 27145 + }, + { + "epoch": 0.95, + "learning_rate": 1.2349550688814493e-06, + "loss": 0.4058, + "step": 27146 + }, + { + "epoch": 0.95, + "learning_rate": 1.2332320205476034e-06, + "loss": 0.3617, + "step": 27147 + }, + { + "epoch": 0.95, + "learning_rate": 1.231510167620875e-06, + "loss": 0.3854, + "step": 27148 + }, + { + "epoch": 0.95, + "learning_rate": 1.2297895101221258e-06, + "loss": 0.4818, + "step": 27149 + }, + { + "epoch": 0.95, + "learning_rate": 1.2280700480721718e-06, + "loss": 0.4556, + "step": 27150 + }, + { + "epoch": 0.95, + "learning_rate": 1.226351781491819e-06, + "loss": 0.438, + "step": 27151 + }, + { + "epoch": 0.95, + "learning_rate": 1.2246347104018729e-06, + "loss": 0.3476, + "step": 27152 + }, + { + "epoch": 0.95, + "learning_rate": 1.2229188348230946e-06, + "loss": 0.4028, + "step": 27153 + }, + { + "epoch": 0.95, + "learning_rate": 1.2212041547762677e-06, + "loss": 0.4163, + "step": 27154 + }, + { + "epoch": 0.95, + "learning_rate": 1.219490670282153e-06, + "loss": 0.3941, + "step": 27155 + }, + { + "epoch": 0.95, + "learning_rate": 1.2177783813614896e-06, + "loss": 0.4276, + "step": 27156 + }, + { + "epoch": 0.95, + "learning_rate": 1.2160672880349833e-06, + "loss": 0.4258, + "step": 27157 + }, + { + "epoch": 0.95, + "learning_rate": 1.2143573903233508e-06, + "loss": 0.3875, + "step": 27158 + }, + { + "epoch": 0.95, + "learning_rate": 1.2126486882472865e-06, + "loss": 0.3821, + "step": 27159 + }, + { + "epoch": 0.95, + "learning_rate": 1.2109411818274852e-06, + "loss": 0.3675, + "step": 27160 + }, + { + "epoch": 0.95, + "learning_rate": 1.209234871084608e-06, + "loss": 0.3635, + "step": 27161 + }, + { + "epoch": 0.95, + "learning_rate": 1.2075297560392939e-06, + "loss": 0.3422, + "step": 27162 + }, + { + "epoch": 0.95, + "learning_rate": 1.2058258367121932e-06, + "loss": 0.3493, + "step": 27163 + }, + { + "epoch": 0.95, + "learning_rate": 1.204123113123934e-06, + "loss": 0.4889, + "step": 27164 + }, + { + "epoch": 0.95, + "learning_rate": 1.2024215852950993e-06, + "loss": 0.5068, + "step": 27165 + }, + { + "epoch": 0.95, + "learning_rate": 1.2007212532463175e-06, + "loss": 0.3296, + "step": 27166 + }, + { + "epoch": 0.95, + "learning_rate": 1.1990221169981276e-06, + "loss": 0.3669, + "step": 27167 + }, + { + "epoch": 0.95, + "learning_rate": 1.1973241765711352e-06, + "loss": 0.4525, + "step": 27168 + }, + { + "epoch": 0.95, + "learning_rate": 1.1956274319858796e-06, + "loss": 0.3844, + "step": 27169 + }, + { + "epoch": 0.95, + "learning_rate": 1.1939318832628776e-06, + "loss": 0.4012, + "step": 27170 + }, + { + "epoch": 0.95, + "learning_rate": 1.1922375304226686e-06, + "loss": 0.3566, + "step": 27171 + }, + { + "epoch": 0.95, + "learning_rate": 1.190544373485758e-06, + "loss": 0.4707, + "step": 27172 + }, + { + "epoch": 0.95, + "learning_rate": 1.1888524124726297e-06, + "loss": 0.4147, + "step": 27173 + }, + { + "epoch": 0.95, + "learning_rate": 1.1871616474037784e-06, + "loss": 0.5104, + "step": 27174 + }, + { + "epoch": 0.95, + "learning_rate": 1.1854720782996653e-06, + "loss": 0.4001, + "step": 27175 + }, + { + "epoch": 0.95, + "learning_rate": 1.1837837051807188e-06, + "loss": 0.3941, + "step": 27176 + }, + { + "epoch": 0.95, + "learning_rate": 1.182096528067389e-06, + "loss": 0.5019, + "step": 27177 + }, + { + "epoch": 0.95, + "learning_rate": 1.180410546980104e-06, + "loss": 0.3698, + "step": 27178 + }, + { + "epoch": 0.95, + "learning_rate": 1.178725761939259e-06, + "loss": 0.3259, + "step": 27179 + }, + { + "epoch": 0.95, + "learning_rate": 1.177042172965248e-06, + "loss": 0.4149, + "step": 27180 + }, + { + "epoch": 0.95, + "learning_rate": 1.1753597800784556e-06, + "loss": 0.3257, + "step": 27181 + }, + { + "epoch": 0.95, + "learning_rate": 1.1736785832992203e-06, + "loss": 0.4483, + "step": 27182 + }, + { + "epoch": 0.95, + "learning_rate": 1.171998582647915e-06, + "loss": 0.3594, + "step": 27183 + }, + { + "epoch": 0.95, + "learning_rate": 1.1703197781448683e-06, + "loss": 0.4048, + "step": 27184 + }, + { + "epoch": 0.95, + "learning_rate": 1.1686421698103965e-06, + "loss": 0.4272, + "step": 27185 + }, + { + "epoch": 0.95, + "learning_rate": 1.1669657576647953e-06, + "loss": 0.4665, + "step": 27186 + }, + { + "epoch": 0.95, + "learning_rate": 1.16529054172837e-06, + "loss": 0.4097, + "step": 27187 + }, + { + "epoch": 0.95, + "learning_rate": 1.1636165220213825e-06, + "loss": 0.4652, + "step": 27188 + }, + { + "epoch": 0.95, + "learning_rate": 1.1619436985641053e-06, + "loss": 0.3809, + "step": 27189 + }, + { + "epoch": 0.95, + "learning_rate": 1.160272071376789e-06, + "loss": 0.3659, + "step": 27190 + }, + { + "epoch": 0.95, + "learning_rate": 1.1586016404796506e-06, + "loss": 0.4542, + "step": 27191 + }, + { + "epoch": 0.95, + "learning_rate": 1.1569324058929186e-06, + "loss": 0.3894, + "step": 27192 + }, + { + "epoch": 0.95, + "learning_rate": 1.155264367636788e-06, + "loss": 0.3359, + "step": 27193 + }, + { + "epoch": 0.95, + "learning_rate": 1.1535975257314535e-06, + "loss": 0.5168, + "step": 27194 + }, + { + "epoch": 0.95, + "learning_rate": 1.151931880197088e-06, + "loss": 0.4198, + "step": 27195 + }, + { + "epoch": 0.95, + "learning_rate": 1.150267431053853e-06, + "loss": 0.4147, + "step": 27196 + }, + { + "epoch": 0.95, + "learning_rate": 1.1486041783218992e-06, + "loss": 0.4489, + "step": 27197 + }, + { + "epoch": 0.95, + "learning_rate": 1.1469421220213438e-06, + "loss": 0.3523, + "step": 27198 + }, + { + "epoch": 0.95, + "learning_rate": 1.1452812621723042e-06, + "loss": 0.4608, + "step": 27199 + }, + { + "epoch": 0.95, + "learning_rate": 1.1436215987948974e-06, + "loss": 0.4549, + "step": 27200 + }, + { + "epoch": 0.95, + "eval_loss": 0.39672136306762695, + "eval_runtime": 854.184, + "eval_samples_per_second": 28.167, + "eval_steps_per_second": 14.084, + "step": 27200 + }, + { + "epoch": 0.95, + "learning_rate": 1.1419631319092073e-06, + "loss": 0.4339, + "step": 27201 + }, + { + "epoch": 0.95, + "learning_rate": 1.1403058615352957e-06, + "loss": 0.409, + "step": 27202 + }, + { + "epoch": 0.95, + "learning_rate": 1.1386497876932245e-06, + "loss": 0.3843, + "step": 27203 + }, + { + "epoch": 0.95, + "learning_rate": 1.1369949104030442e-06, + "loss": 0.3224, + "step": 27204 + }, + { + "epoch": 0.95, + "learning_rate": 1.135341229684772e-06, + "loss": 0.3727, + "step": 27205 + }, + { + "epoch": 0.95, + "learning_rate": 1.1336887455584477e-06, + "loss": 0.3572, + "step": 27206 + }, + { + "epoch": 0.95, + "learning_rate": 1.132037458044044e-06, + "loss": 0.3683, + "step": 27207 + }, + { + "epoch": 0.95, + "learning_rate": 1.1303873671615561e-06, + "loss": 0.3799, + "step": 27208 + }, + { + "epoch": 0.95, + "learning_rate": 1.1287384729309569e-06, + "loss": 0.3955, + "step": 27209 + }, + { + "epoch": 0.95, + "learning_rate": 1.1270907753722082e-06, + "loss": 0.4257, + "step": 27210 + }, + { + "epoch": 0.95, + "learning_rate": 1.1254442745052606e-06, + "loss": 0.3911, + "step": 27211 + }, + { + "epoch": 0.95, + "learning_rate": 1.1237989703500207e-06, + "loss": 0.5291, + "step": 27212 + }, + { + "epoch": 0.95, + "learning_rate": 1.1221548629264056e-06, + "loss": 0.4235, + "step": 27213 + }, + { + "epoch": 0.95, + "learning_rate": 1.1205119522543217e-06, + "loss": 0.3898, + "step": 27214 + }, + { + "epoch": 0.95, + "learning_rate": 1.1188702383536642e-06, + "loss": 0.486, + "step": 27215 + }, + { + "epoch": 0.95, + "learning_rate": 1.1172297212442839e-06, + "loss": 0.5193, + "step": 27216 + }, + { + "epoch": 0.95, + "learning_rate": 1.115590400946054e-06, + "loss": 0.357, + "step": 27217 + }, + { + "epoch": 0.95, + "learning_rate": 1.1139522774788026e-06, + "loss": 0.4537, + "step": 27218 + }, + { + "epoch": 0.95, + "learning_rate": 1.1123153508623474e-06, + "loss": 0.3997, + "step": 27219 + }, + { + "epoch": 0.95, + "learning_rate": 1.1106796211165283e-06, + "loss": 0.4353, + "step": 27220 + }, + { + "epoch": 0.95, + "learning_rate": 1.109045088261118e-06, + "loss": 0.4372, + "step": 27221 + }, + { + "epoch": 0.95, + "learning_rate": 1.1074117523159232e-06, + "loss": 0.4535, + "step": 27222 + }, + { + "epoch": 0.95, + "learning_rate": 1.1057796133006947e-06, + "loss": 0.3482, + "step": 27223 + }, + { + "epoch": 0.95, + "learning_rate": 1.1041486712351834e-06, + "loss": 0.4059, + "step": 27224 + }, + { + "epoch": 0.95, + "learning_rate": 1.10251892613914e-06, + "loss": 0.3693, + "step": 27225 + }, + { + "epoch": 0.95, + "learning_rate": 1.1008903780322933e-06, + "loss": 0.4074, + "step": 27226 + }, + { + "epoch": 0.95, + "learning_rate": 1.0992630269343495e-06, + "loss": 0.4281, + "step": 27227 + }, + { + "epoch": 0.95, + "learning_rate": 1.0976368728650045e-06, + "loss": 0.3617, + "step": 27228 + }, + { + "epoch": 0.95, + "learning_rate": 1.0960119158439308e-06, + "loss": 0.3461, + "step": 27229 + }, + { + "epoch": 0.95, + "learning_rate": 1.094388155890802e-06, + "loss": 0.4901, + "step": 27230 + }, + { + "epoch": 0.95, + "learning_rate": 1.092765593025291e-06, + "loss": 0.3834, + "step": 27231 + }, + { + "epoch": 0.95, + "learning_rate": 1.0911442272670047e-06, + "loss": 0.4117, + "step": 27232 + }, + { + "epoch": 0.95, + "learning_rate": 1.0895240586355825e-06, + "loss": 0.3527, + "step": 27233 + }, + { + "epoch": 0.95, + "learning_rate": 1.0879050871506314e-06, + "loss": 0.3999, + "step": 27234 + }, + { + "epoch": 0.95, + "learning_rate": 1.0862873128317463e-06, + "loss": 0.404, + "step": 27235 + }, + { + "epoch": 0.95, + "learning_rate": 1.0846707356985119e-06, + "loss": 0.4523, + "step": 27236 + }, + { + "epoch": 0.95, + "learning_rate": 1.0830553557705014e-06, + "loss": 0.405, + "step": 27237 + }, + { + "epoch": 0.95, + "learning_rate": 1.0814411730672435e-06, + "loss": 0.4568, + "step": 27238 + }, + { + "epoch": 0.95, + "learning_rate": 1.0798281876082784e-06, + "loss": 0.4406, + "step": 27239 + }, + { + "epoch": 0.95, + "learning_rate": 1.0782163994131566e-06, + "loss": 0.4321, + "step": 27240 + }, + { + "epoch": 0.95, + "learning_rate": 1.0766058085013631e-06, + "loss": 0.3506, + "step": 27241 + }, + { + "epoch": 0.95, + "learning_rate": 1.074996414892393e-06, + "loss": 0.3974, + "step": 27242 + }, + { + "epoch": 0.95, + "learning_rate": 1.0733882186057198e-06, + "loss": 0.4174, + "step": 27243 + }, + { + "epoch": 0.95, + "learning_rate": 1.0717812196608168e-06, + "loss": 0.352, + "step": 27244 + }, + { + "epoch": 0.95, + "learning_rate": 1.0701754180771462e-06, + "loss": 0.3871, + "step": 27245 + }, + { + "epoch": 0.95, + "learning_rate": 1.0685708138741256e-06, + "loss": 0.383, + "step": 27246 + }, + { + "epoch": 0.95, + "learning_rate": 1.0669674070711844e-06, + "loss": 0.3904, + "step": 27247 + }, + { + "epoch": 0.95, + "learning_rate": 1.0653651976877178e-06, + "loss": 0.3339, + "step": 27248 + }, + { + "epoch": 0.95, + "learning_rate": 1.0637641857431324e-06, + "loss": 0.4302, + "step": 27249 + }, + { + "epoch": 0.95, + "learning_rate": 1.0621643712567907e-06, + "loss": 0.3717, + "step": 27250 + }, + { + "epoch": 0.95, + "learning_rate": 1.0605657542480662e-06, + "loss": 0.3605, + "step": 27251 + }, + { + "epoch": 0.95, + "learning_rate": 1.05896833473631e-06, + "loss": 0.3934, + "step": 27252 + }, + { + "epoch": 0.95, + "learning_rate": 1.0573721127408509e-06, + "loss": 0.4555, + "step": 27253 + }, + { + "epoch": 0.95, + "learning_rate": 1.055777088281018e-06, + "loss": 0.3623, + "step": 27254 + }, + { + "epoch": 0.95, + "learning_rate": 1.054183261376085e-06, + "loss": 0.4324, + "step": 27255 + }, + { + "epoch": 0.95, + "learning_rate": 1.0525906320453916e-06, + "loss": 0.4924, + "step": 27256 + }, + { + "epoch": 0.95, + "learning_rate": 1.050999200308167e-06, + "loss": 0.4024, + "step": 27257 + }, + { + "epoch": 0.95, + "learning_rate": 1.049408966183707e-06, + "loss": 0.4581, + "step": 27258 + }, + { + "epoch": 0.95, + "learning_rate": 1.0478199296912406e-06, + "loss": 0.3537, + "step": 27259 + }, + { + "epoch": 0.95, + "learning_rate": 1.046232090850008e-06, + "loss": 0.3797, + "step": 27260 + }, + { + "epoch": 0.95, + "learning_rate": 1.0446454496792157e-06, + "loss": 0.4789, + "step": 27261 + }, + { + "epoch": 0.95, + "learning_rate": 1.0430600061980933e-06, + "loss": 0.3799, + "step": 27262 + }, + { + "epoch": 0.95, + "learning_rate": 1.0414757604258029e-06, + "loss": 0.3955, + "step": 27263 + }, + { + "epoch": 0.95, + "learning_rate": 1.0398927123815295e-06, + "loss": 0.4155, + "step": 27264 + }, + { + "epoch": 0.95, + "learning_rate": 1.0383108620844239e-06, + "loss": 0.3984, + "step": 27265 + }, + { + "epoch": 0.95, + "learning_rate": 1.036730209553649e-06, + "loss": 0.3641, + "step": 27266 + }, + { + "epoch": 0.95, + "learning_rate": 1.0351507548083228e-06, + "loss": 0.4752, + "step": 27267 + }, + { + "epoch": 0.95, + "learning_rate": 1.0335724978675744e-06, + "loss": 0.3802, + "step": 27268 + }, + { + "epoch": 0.95, + "learning_rate": 1.0319954387504994e-06, + "loss": 0.4004, + "step": 27269 + }, + { + "epoch": 0.95, + "learning_rate": 1.0304195774761715e-06, + "loss": 0.434, + "step": 27270 + }, + { + "epoch": 0.95, + "learning_rate": 1.0288449140636868e-06, + "loss": 0.3575, + "step": 27271 + }, + { + "epoch": 0.95, + "learning_rate": 1.0272714485320966e-06, + "loss": 0.3916, + "step": 27272 + }, + { + "epoch": 0.95, + "learning_rate": 1.0256991809004413e-06, + "loss": 0.459, + "step": 27273 + }, + { + "epoch": 0.95, + "learning_rate": 1.0241281111877498e-06, + "loss": 0.4348, + "step": 27274 + }, + { + "epoch": 0.95, + "learning_rate": 1.0225582394130406e-06, + "loss": 0.3466, + "step": 27275 + }, + { + "epoch": 0.95, + "learning_rate": 1.0209895655953094e-06, + "loss": 0.4458, + "step": 27276 + }, + { + "epoch": 0.95, + "learning_rate": 1.0194220897535522e-06, + "loss": 0.3677, + "step": 27277 + }, + { + "epoch": 0.95, + "learning_rate": 1.0178558119067315e-06, + "loss": 0.3737, + "step": 27278 + }, + { + "epoch": 0.95, + "learning_rate": 1.0162907320737992e-06, + "loss": 0.4246, + "step": 27279 + }, + { + "epoch": 0.95, + "learning_rate": 1.0147268502737172e-06, + "loss": 0.4007, + "step": 27280 + }, + { + "epoch": 0.95, + "learning_rate": 1.0131641665253933e-06, + "loss": 0.4464, + "step": 27281 + }, + { + "epoch": 0.95, + "learning_rate": 1.0116026808477563e-06, + "loss": 0.3762, + "step": 27282 + }, + { + "epoch": 0.95, + "learning_rate": 1.0100423932597024e-06, + "loss": 0.347, + "step": 27283 + }, + { + "epoch": 0.95, + "learning_rate": 1.0084833037801168e-06, + "loss": 0.3831, + "step": 27284 + }, + { + "epoch": 0.95, + "learning_rate": 1.0069254124278614e-06, + "loss": 0.3777, + "step": 27285 + }, + { + "epoch": 0.95, + "learning_rate": 1.0053687192217887e-06, + "loss": 0.3495, + "step": 27286 + }, + { + "epoch": 0.95, + "learning_rate": 1.0038132241807608e-06, + "loss": 0.4199, + "step": 27287 + }, + { + "epoch": 0.95, + "learning_rate": 1.002258927323585e-06, + "loss": 0.3959, + "step": 27288 + }, + { + "epoch": 0.95, + "learning_rate": 1.0007058286690796e-06, + "loss": 0.4313, + "step": 27289 + }, + { + "epoch": 0.95, + "learning_rate": 9.991539282360518e-07, + "loss": 0.3981, + "step": 27290 + }, + { + "epoch": 0.96, + "learning_rate": 9.976032260432644e-07, + "loss": 0.3528, + "step": 27291 + }, + { + "epoch": 0.96, + "learning_rate": 9.960537221095022e-07, + "loss": 0.3343, + "step": 27292 + }, + { + "epoch": 0.96, + "learning_rate": 9.945054164535172e-07, + "loss": 0.3543, + "step": 27293 + }, + { + "epoch": 0.96, + "learning_rate": 9.929583090940386e-07, + "loss": 0.3754, + "step": 27294 + }, + { + "epoch": 0.96, + "learning_rate": 9.91412400049807e-07, + "loss": 0.4704, + "step": 27295 + }, + { + "epoch": 0.96, + "learning_rate": 9.898676893395186e-07, + "loss": 0.3997, + "step": 27296 + }, + { + "epoch": 0.96, + "learning_rate": 9.883241769818918e-07, + "loss": 0.366, + "step": 27297 + }, + { + "epoch": 0.96, + "learning_rate": 9.867818629955783e-07, + "loss": 0.3693, + "step": 27298 + }, + { + "epoch": 0.96, + "learning_rate": 9.852407473992632e-07, + "loss": 0.4165, + "step": 27299 + }, + { + "epoch": 0.96, + "learning_rate": 9.83700830211598e-07, + "loss": 0.6024, + "step": 27300 + }, + { + "epoch": 0.96, + "learning_rate": 9.821621114512125e-07, + "loss": 0.4648, + "step": 27301 + }, + { + "epoch": 0.96, + "learning_rate": 9.806245911367473e-07, + "loss": 0.4239, + "step": 27302 + }, + { + "epoch": 0.96, + "learning_rate": 9.790882692867986e-07, + "loss": 0.4538, + "step": 27303 + }, + { + "epoch": 0.96, + "learning_rate": 9.775531459199516e-07, + "loss": 0.4231, + "step": 27304 + }, + { + "epoch": 0.96, + "learning_rate": 9.760192210548024e-07, + "loss": 0.3957, + "step": 27305 + }, + { + "epoch": 0.96, + "learning_rate": 9.74486494709914e-07, + "loss": 0.444, + "step": 27306 + }, + { + "epoch": 0.96, + "learning_rate": 9.729549669038385e-07, + "loss": 0.434, + "step": 27307 + }, + { + "epoch": 0.96, + "learning_rate": 9.71424637655116e-07, + "loss": 0.3663, + "step": 27308 + }, + { + "epoch": 0.96, + "learning_rate": 9.698955069822546e-07, + "loss": 0.4235, + "step": 27309 + }, + { + "epoch": 0.96, + "learning_rate": 9.683675749037613e-07, + "loss": 0.3859, + "step": 27310 + }, + { + "epoch": 0.96, + "learning_rate": 9.668408414381435e-07, + "loss": 0.3718, + "step": 27311 + }, + { + "epoch": 0.96, + "learning_rate": 9.653153066038756e-07, + "loss": 0.3913, + "step": 27312 + }, + { + "epoch": 0.96, + "learning_rate": 9.637909704194203e-07, + "loss": 0.416, + "step": 27313 + }, + { + "epoch": 0.96, + "learning_rate": 9.622678329032298e-07, + "loss": 0.4027, + "step": 27314 + }, + { + "epoch": 0.96, + "learning_rate": 9.607458940737336e-07, + "loss": 0.4393, + "step": 27315 + }, + { + "epoch": 0.96, + "learning_rate": 9.592251539493502e-07, + "loss": 0.3805, + "step": 27316 + }, + { + "epoch": 0.96, + "learning_rate": 9.577056125484873e-07, + "loss": 0.4337, + "step": 27317 + }, + { + "epoch": 0.96, + "learning_rate": 9.561872698895412e-07, + "loss": 0.394, + "step": 27318 + }, + { + "epoch": 0.96, + "learning_rate": 9.546701259908974e-07, + "loss": 0.4541, + "step": 27319 + }, + { + "epoch": 0.96, + "learning_rate": 9.531541808708966e-07, + "loss": 0.4681, + "step": 27320 + }, + { + "epoch": 0.96, + "learning_rate": 9.516394345478907e-07, + "loss": 0.397, + "step": 27321 + }, + { + "epoch": 0.96, + "learning_rate": 9.501258870402318e-07, + "loss": 0.3764, + "step": 27322 + }, + { + "epoch": 0.96, + "learning_rate": 9.486135383662276e-07, + "loss": 0.4698, + "step": 27323 + }, + { + "epoch": 0.96, + "learning_rate": 9.471023885441854e-07, + "loss": 0.4253, + "step": 27324 + }, + { + "epoch": 0.96, + "learning_rate": 9.455924375923908e-07, + "loss": 0.3691, + "step": 27325 + }, + { + "epoch": 0.96, + "learning_rate": 9.440836855291069e-07, + "loss": 0.3892, + "step": 27326 + }, + { + "epoch": 0.96, + "learning_rate": 9.42576132372619e-07, + "loss": 0.4523, + "step": 27327 + }, + { + "epoch": 0.96, + "learning_rate": 9.410697781411681e-07, + "loss": 0.3782, + "step": 27328 + }, + { + "epoch": 0.96, + "learning_rate": 9.39564622852973e-07, + "loss": 0.3801, + "step": 27329 + }, + { + "epoch": 0.96, + "learning_rate": 9.380606665262637e-07, + "loss": 0.3614, + "step": 27330 + }, + { + "epoch": 0.96, + "learning_rate": 9.365579091792365e-07, + "loss": 0.463, + "step": 27331 + }, + { + "epoch": 0.96, + "learning_rate": 9.350563508300769e-07, + "loss": 0.4008, + "step": 27332 + }, + { + "epoch": 0.96, + "learning_rate": 9.335559914969705e-07, + "loss": 0.3678, + "step": 27333 + }, + { + "epoch": 0.96, + "learning_rate": 9.320568311980693e-07, + "loss": 0.479, + "step": 27334 + }, + { + "epoch": 0.96, + "learning_rate": 9.305588699515144e-07, + "loss": 0.4108, + "step": 27335 + }, + { + "epoch": 0.96, + "learning_rate": 9.290621077754358e-07, + "loss": 0.4312, + "step": 27336 + }, + { + "epoch": 0.96, + "learning_rate": 9.275665446879633e-07, + "loss": 0.4631, + "step": 27337 + }, + { + "epoch": 0.96, + "learning_rate": 9.260721807071937e-07, + "loss": 0.4899, + "step": 27338 + }, + { + "epoch": 0.96, + "learning_rate": 9.245790158512013e-07, + "loss": 0.341, + "step": 27339 + }, + { + "epoch": 0.96, + "learning_rate": 9.230870501380606e-07, + "loss": 0.3893, + "step": 27340 + }, + { + "epoch": 0.96, + "learning_rate": 9.215962835858349e-07, + "loss": 0.4086, + "step": 27341 + }, + { + "epoch": 0.96, + "learning_rate": 9.201067162125654e-07, + "loss": 0.4044, + "step": 27342 + }, + { + "epoch": 0.96, + "learning_rate": 9.186183480362931e-07, + "loss": 0.3926, + "step": 27343 + }, + { + "epoch": 0.96, + "learning_rate": 9.171311790750148e-07, + "loss": 0.3854, + "step": 27344 + }, + { + "epoch": 0.96, + "learning_rate": 9.156452093467383e-07, + "loss": 0.3297, + "step": 27345 + }, + { + "epoch": 0.96, + "learning_rate": 9.141604388694492e-07, + "loss": 0.4429, + "step": 27346 + }, + { + "epoch": 0.96, + "learning_rate": 9.126768676611108e-07, + "loss": 0.4153, + "step": 27347 + }, + { + "epoch": 0.96, + "learning_rate": 9.111944957396979e-07, + "loss": 0.3531, + "step": 27348 + }, + { + "epoch": 0.96, + "learning_rate": 9.097133231231292e-07, + "loss": 0.4395, + "step": 27349 + }, + { + "epoch": 0.96, + "learning_rate": 9.08233349829346e-07, + "loss": 0.4267, + "step": 27350 + }, + { + "epoch": 0.96, + "learning_rate": 9.067545758762563e-07, + "loss": 0.4053, + "step": 27351 + }, + { + "epoch": 0.96, + "learning_rate": 9.052770012817458e-07, + "loss": 0.431, + "step": 27352 + }, + { + "epoch": 0.96, + "learning_rate": 9.038006260637222e-07, + "loss": 0.4295, + "step": 27353 + }, + { + "epoch": 0.96, + "learning_rate": 9.02325450240038e-07, + "loss": 0.3514, + "step": 27354 + }, + { + "epoch": 0.96, + "learning_rate": 9.008514738285678e-07, + "loss": 0.4118, + "step": 27355 + }, + { + "epoch": 0.96, + "learning_rate": 8.993786968471196e-07, + "loss": 0.4044, + "step": 27356 + }, + { + "epoch": 0.96, + "learning_rate": 8.979071193135458e-07, + "loss": 0.5135, + "step": 27357 + }, + { + "epoch": 0.96, + "learning_rate": 8.964367412456431e-07, + "loss": 0.4489, + "step": 27358 + }, + { + "epoch": 0.96, + "learning_rate": 8.949675626612086e-07, + "loss": 0.4204, + "step": 27359 + }, + { + "epoch": 0.96, + "learning_rate": 8.934995835780391e-07, + "loss": 0.4724, + "step": 27360 + }, + { + "epoch": 0.96, + "learning_rate": 8.92032804013887e-07, + "loss": 0.3431, + "step": 27361 + }, + { + "epoch": 0.96, + "learning_rate": 8.905672239865049e-07, + "loss": 0.3876, + "step": 27362 + }, + { + "epoch": 0.96, + "learning_rate": 8.891028435136339e-07, + "loss": 0.3829, + "step": 27363 + }, + { + "epoch": 0.96, + "learning_rate": 8.876396626130157e-07, + "loss": 0.4708, + "step": 27364 + }, + { + "epoch": 0.96, + "learning_rate": 8.861776813023248e-07, + "loss": 0.4174, + "step": 27365 + }, + { + "epoch": 0.96, + "learning_rate": 8.847168995992916e-07, + "loss": 0.4221, + "step": 27366 + }, + { + "epoch": 0.96, + "learning_rate": 8.832573175215575e-07, + "loss": 0.4053, + "step": 27367 + }, + { + "epoch": 0.96, + "learning_rate": 8.817989350868305e-07, + "loss": 0.4023, + "step": 27368 + }, + { + "epoch": 0.96, + "learning_rate": 8.803417523127411e-07, + "loss": 0.3939, + "step": 27369 + }, + { + "epoch": 0.96, + "learning_rate": 8.788857692169194e-07, + "loss": 0.332, + "step": 27370 + }, + { + "epoch": 0.96, + "learning_rate": 8.77430985816996e-07, + "loss": 0.4607, + "step": 27371 + }, + { + "epoch": 0.96, + "learning_rate": 8.759774021305788e-07, + "loss": 0.4642, + "step": 27372 + }, + { + "epoch": 0.96, + "learning_rate": 8.74525018175254e-07, + "loss": 0.446, + "step": 27373 + }, + { + "epoch": 0.96, + "learning_rate": 8.730738339686184e-07, + "loss": 0.3728, + "step": 27374 + }, + { + "epoch": 0.96, + "learning_rate": 8.716238495282136e-07, + "loss": 0.4653, + "step": 27375 + }, + { + "epoch": 0.96, + "learning_rate": 8.701750648716145e-07, + "loss": 0.4361, + "step": 27376 + }, + { + "epoch": 0.96, + "learning_rate": 8.687274800163181e-07, + "loss": 0.4122, + "step": 27377 + }, + { + "epoch": 0.96, + "learning_rate": 8.672810949798882e-07, + "loss": 0.4115, + "step": 27378 + }, + { + "epoch": 0.96, + "learning_rate": 8.658359097797997e-07, + "loss": 0.3779, + "step": 27379 + }, + { + "epoch": 0.96, + "learning_rate": 8.643919244335608e-07, + "loss": 0.4567, + "step": 27380 + }, + { + "epoch": 0.96, + "learning_rate": 8.629491389586464e-07, + "loss": 0.4315, + "step": 27381 + }, + { + "epoch": 0.96, + "learning_rate": 8.615075533725092e-07, + "loss": 0.4391, + "step": 27382 + }, + { + "epoch": 0.96, + "learning_rate": 8.600671676926019e-07, + "loss": 0.3948, + "step": 27383 + }, + { + "epoch": 0.96, + "learning_rate": 8.586279819363663e-07, + "loss": 0.4531, + "step": 27384 + }, + { + "epoch": 0.96, + "learning_rate": 8.571899961212215e-07, + "loss": 0.3728, + "step": 27385 + }, + { + "epoch": 0.96, + "learning_rate": 8.557532102645538e-07, + "loss": 0.3495, + "step": 27386 + }, + { + "epoch": 0.96, + "learning_rate": 8.543176243837714e-07, + "loss": 0.4124, + "step": 27387 + }, + { + "epoch": 0.96, + "learning_rate": 8.52883238496227e-07, + "loss": 0.4332, + "step": 27388 + }, + { + "epoch": 0.96, + "learning_rate": 8.514500526193181e-07, + "loss": 0.4305, + "step": 27389 + }, + { + "epoch": 0.96, + "learning_rate": 8.500180667703639e-07, + "loss": 0.4041, + "step": 27390 + }, + { + "epoch": 0.96, + "learning_rate": 8.48587280966695e-07, + "loss": 0.4821, + "step": 27391 + }, + { + "epoch": 0.96, + "learning_rate": 8.471576952256421e-07, + "loss": 0.448, + "step": 27392 + }, + { + "epoch": 0.96, + "learning_rate": 8.457293095645025e-07, + "loss": 0.4138, + "step": 27393 + }, + { + "epoch": 0.96, + "learning_rate": 8.443021240005622e-07, + "loss": 0.4522, + "step": 27394 + }, + { + "epoch": 0.96, + "learning_rate": 8.428761385510964e-07, + "loss": 0.3653, + "step": 27395 + }, + { + "epoch": 0.96, + "learning_rate": 8.41451353233369e-07, + "loss": 0.4394, + "step": 27396 + }, + { + "epoch": 0.96, + "learning_rate": 8.400277680646218e-07, + "loss": 0.4055, + "step": 27397 + }, + { + "epoch": 0.96, + "learning_rate": 8.386053830620743e-07, + "loss": 0.3765, + "step": 27398 + }, + { + "epoch": 0.96, + "learning_rate": 8.371841982429574e-07, + "loss": 0.3887, + "step": 27399 + }, + { + "epoch": 0.96, + "learning_rate": 8.35764213624457e-07, + "loss": 0.3316, + "step": 27400 + }, + { + "epoch": 0.96, + "eval_loss": 0.3967449367046356, + "eval_runtime": 844.3903, + "eval_samples_per_second": 28.494, + "eval_steps_per_second": 14.247, + "step": 27400 + }, + { + "epoch": 0.96, + "learning_rate": 8.343454292237818e-07, + "loss": 0.4224, + "step": 27401 + }, + { + "epoch": 0.96, + "learning_rate": 8.329278450580846e-07, + "loss": 0.3613, + "step": 27402 + }, + { + "epoch": 0.96, + "learning_rate": 8.315114611445296e-07, + "loss": 0.4495, + "step": 27403 + }, + { + "epoch": 0.96, + "learning_rate": 8.300962775002586e-07, + "loss": 0.4127, + "step": 27404 + }, + { + "epoch": 0.96, + "learning_rate": 8.286822941424022e-07, + "loss": 0.4376, + "step": 27405 + }, + { + "epoch": 0.96, + "learning_rate": 8.27269511088069e-07, + "loss": 0.4526, + "step": 27406 + }, + { + "epoch": 0.96, + "learning_rate": 8.258579283543677e-07, + "loss": 0.4702, + "step": 27407 + }, + { + "epoch": 0.96, + "learning_rate": 8.244475459583623e-07, + "loss": 0.4463, + "step": 27408 + }, + { + "epoch": 0.96, + "learning_rate": 8.230383639171502e-07, + "loss": 0.3756, + "step": 27409 + }, + { + "epoch": 0.96, + "learning_rate": 8.216303822477844e-07, + "loss": 0.3895, + "step": 27410 + }, + { + "epoch": 0.96, + "learning_rate": 8.202236009672848e-07, + "loss": 0.3922, + "step": 27411 + }, + { + "epoch": 0.96, + "learning_rate": 8.188180200926932e-07, + "loss": 0.3939, + "step": 27412 + }, + { + "epoch": 0.96, + "learning_rate": 8.174136396410182e-07, + "loss": 0.456, + "step": 27413 + }, + { + "epoch": 0.96, + "learning_rate": 8.160104596292572e-07, + "loss": 0.4786, + "step": 27414 + }, + { + "epoch": 0.96, + "learning_rate": 8.14608480074397e-07, + "loss": 0.3665, + "step": 27415 + }, + { + "epoch": 0.96, + "learning_rate": 8.132077009934125e-07, + "loss": 0.3793, + "step": 27416 + }, + { + "epoch": 0.96, + "learning_rate": 8.118081224032348e-07, + "loss": 0.4077, + "step": 27417 + }, + { + "epoch": 0.96, + "learning_rate": 8.10409744320828e-07, + "loss": 0.3664, + "step": 27418 + }, + { + "epoch": 0.96, + "learning_rate": 8.090125667630899e-07, + "loss": 0.4286, + "step": 27419 + }, + { + "epoch": 0.96, + "learning_rate": 8.076165897469623e-07, + "loss": 0.3052, + "step": 27420 + }, + { + "epoch": 0.96, + "learning_rate": 8.062218132893318e-07, + "loss": 0.4513, + "step": 27421 + }, + { + "epoch": 0.96, + "learning_rate": 8.048282374070626e-07, + "loss": 0.421, + "step": 27422 + }, + { + "epoch": 0.96, + "learning_rate": 8.034358621170413e-07, + "loss": 0.3786, + "step": 27423 + }, + { + "epoch": 0.96, + "learning_rate": 8.020446874361099e-07, + "loss": 0.3718, + "step": 27424 + }, + { + "epoch": 0.96, + "learning_rate": 8.006547133811105e-07, + "loss": 0.3809, + "step": 27425 + }, + { + "epoch": 0.96, + "learning_rate": 7.992659399688629e-07, + "loss": 0.3798, + "step": 27426 + }, + { + "epoch": 0.96, + "learning_rate": 7.97878367216176e-07, + "loss": 0.3566, + "step": 27427 + }, + { + "epoch": 0.96, + "learning_rate": 7.964919951398586e-07, + "loss": 0.4732, + "step": 27428 + }, + { + "epoch": 0.96, + "learning_rate": 7.95106823756664e-07, + "loss": 0.3696, + "step": 27429 + }, + { + "epoch": 0.96, + "learning_rate": 7.937228530833784e-07, + "loss": 0.3672, + "step": 27430 + }, + { + "epoch": 0.96, + "learning_rate": 7.923400831367444e-07, + "loss": 0.3821, + "step": 27431 + }, + { + "epoch": 0.96, + "learning_rate": 7.909585139335041e-07, + "loss": 0.4687, + "step": 27432 + }, + { + "epoch": 0.96, + "learning_rate": 7.89578145490355e-07, + "loss": 0.4136, + "step": 27433 + }, + { + "epoch": 0.96, + "learning_rate": 7.881989778240395e-07, + "loss": 0.3768, + "step": 27434 + }, + { + "epoch": 0.96, + "learning_rate": 7.86821010951233e-07, + "loss": 0.5, + "step": 27435 + }, + { + "epoch": 0.96, + "learning_rate": 7.854442448886113e-07, + "loss": 0.4048, + "step": 27436 + }, + { + "epoch": 0.96, + "learning_rate": 7.840686796528496e-07, + "loss": 0.3723, + "step": 27437 + }, + { + "epoch": 0.96, + "learning_rate": 7.826943152605682e-07, + "loss": 0.3446, + "step": 27438 + }, + { + "epoch": 0.96, + "learning_rate": 7.813211517284424e-07, + "loss": 0.3714, + "step": 27439 + }, + { + "epoch": 0.96, + "learning_rate": 7.799491890730592e-07, + "loss": 0.4317, + "step": 27440 + }, + { + "epoch": 0.96, + "learning_rate": 7.785784273110386e-07, + "loss": 0.3721, + "step": 27441 + }, + { + "epoch": 0.96, + "learning_rate": 7.772088664589783e-07, + "loss": 0.4792, + "step": 27442 + }, + { + "epoch": 0.96, + "learning_rate": 7.758405065334317e-07, + "loss": 0.4571, + "step": 27443 + }, + { + "epoch": 0.96, + "learning_rate": 7.744733475509746e-07, + "loss": 0.4293, + "step": 27444 + }, + { + "epoch": 0.96, + "learning_rate": 7.731073895281604e-07, + "loss": 0.4594, + "step": 27445 + }, + { + "epoch": 0.96, + "learning_rate": 7.717426324815091e-07, + "loss": 0.4377, + "step": 27446 + }, + { + "epoch": 0.96, + "learning_rate": 7.70379076427552e-07, + "loss": 0.4109, + "step": 27447 + }, + { + "epoch": 0.96, + "learning_rate": 7.690167213827759e-07, + "loss": 0.424, + "step": 27448 + }, + { + "epoch": 0.96, + "learning_rate": 7.676555673636787e-07, + "loss": 0.4474, + "step": 27449 + }, + { + "epoch": 0.96, + "learning_rate": 7.662956143867361e-07, + "loss": 0.3753, + "step": 27450 + }, + { + "epoch": 0.96, + "learning_rate": 7.649368624684128e-07, + "loss": 0.4469, + "step": 27451 + }, + { + "epoch": 0.96, + "learning_rate": 7.635793116251511e-07, + "loss": 0.4286, + "step": 27452 + }, + { + "epoch": 0.96, + "learning_rate": 7.622229618733712e-07, + "loss": 0.4295, + "step": 27453 + }, + { + "epoch": 0.96, + "learning_rate": 7.608678132294933e-07, + "loss": 0.5136, + "step": 27454 + }, + { + "epoch": 0.96, + "learning_rate": 7.595138657099377e-07, + "loss": 0.4458, + "step": 27455 + }, + { + "epoch": 0.96, + "learning_rate": 7.58161119331069e-07, + "loss": 0.4068, + "step": 27456 + }, + { + "epoch": 0.96, + "learning_rate": 7.56809574109274e-07, + "loss": 0.4445, + "step": 27457 + }, + { + "epoch": 0.96, + "learning_rate": 7.554592300608953e-07, + "loss": 0.427, + "step": 27458 + }, + { + "epoch": 0.96, + "learning_rate": 7.541100872022977e-07, + "loss": 0.3955, + "step": 27459 + }, + { + "epoch": 0.96, + "learning_rate": 7.527621455497902e-07, + "loss": 0.4375, + "step": 27460 + }, + { + "epoch": 0.96, + "learning_rate": 7.514154051197042e-07, + "loss": 0.3852, + "step": 27461 + }, + { + "epoch": 0.96, + "learning_rate": 7.500698659283267e-07, + "loss": 0.3638, + "step": 27462 + }, + { + "epoch": 0.96, + "learning_rate": 7.487255279919558e-07, + "loss": 0.3638, + "step": 27463 + }, + { + "epoch": 0.96, + "learning_rate": 7.473823913268451e-07, + "loss": 0.4573, + "step": 27464 + }, + { + "epoch": 0.96, + "learning_rate": 7.460404559492595e-07, + "loss": 0.41, + "step": 27465 + }, + { + "epoch": 0.96, + "learning_rate": 7.446997218754526e-07, + "loss": 0.5155, + "step": 27466 + }, + { + "epoch": 0.96, + "learning_rate": 7.433601891216336e-07, + "loss": 0.4307, + "step": 27467 + }, + { + "epoch": 0.96, + "learning_rate": 7.420218577040339e-07, + "loss": 0.4207, + "step": 27468 + }, + { + "epoch": 0.96, + "learning_rate": 7.406847276388295e-07, + "loss": 0.4158, + "step": 27469 + }, + { + "epoch": 0.96, + "learning_rate": 7.393487989422187e-07, + "loss": 0.3957, + "step": 27470 + }, + { + "epoch": 0.96, + "learning_rate": 7.380140716303774e-07, + "loss": 0.3891, + "step": 27471 + }, + { + "epoch": 0.96, + "learning_rate": 7.36680545719437e-07, + "loss": 0.5355, + "step": 27472 + }, + { + "epoch": 0.96, + "learning_rate": 7.353482212255624e-07, + "loss": 0.4728, + "step": 27473 + }, + { + "epoch": 0.96, + "learning_rate": 7.340170981648631e-07, + "loss": 0.3809, + "step": 27474 + }, + { + "epoch": 0.96, + "learning_rate": 7.326871765534482e-07, + "loss": 0.4148, + "step": 27475 + }, + { + "epoch": 0.96, + "learning_rate": 7.313584564074272e-07, + "loss": 0.4292, + "step": 27476 + }, + { + "epoch": 0.96, + "learning_rate": 7.300309377428871e-07, + "loss": 0.4454, + "step": 27477 + }, + { + "epoch": 0.96, + "learning_rate": 7.287046205758707e-07, + "loss": 0.4494, + "step": 27478 + }, + { + "epoch": 0.96, + "learning_rate": 7.27379504922443e-07, + "loss": 0.3986, + "step": 27479 + }, + { + "epoch": 0.96, + "learning_rate": 7.260555907986466e-07, + "loss": 0.3705, + "step": 27480 + }, + { + "epoch": 0.96, + "learning_rate": 7.247328782205131e-07, + "loss": 0.5592, + "step": 27481 + }, + { + "epoch": 0.96, + "learning_rate": 7.234113672040299e-07, + "loss": 0.455, + "step": 27482 + }, + { + "epoch": 0.96, + "learning_rate": 7.220910577652063e-07, + "loss": 0.4451, + "step": 27483 + }, + { + "epoch": 0.96, + "learning_rate": 7.207719499200183e-07, + "loss": 0.5089, + "step": 27484 + }, + { + "epoch": 0.96, + "learning_rate": 7.194540436844199e-07, + "loss": 0.3996, + "step": 27485 + }, + { + "epoch": 0.96, + "learning_rate": 7.181373390743873e-07, + "loss": 0.4583, + "step": 27486 + }, + { + "epoch": 0.96, + "learning_rate": 7.16821836105841e-07, + "loss": 0.4662, + "step": 27487 + }, + { + "epoch": 0.96, + "learning_rate": 7.155075347947127e-07, + "loss": 0.4086, + "step": 27488 + }, + { + "epoch": 0.96, + "learning_rate": 7.141944351569008e-07, + "loss": 0.4051, + "step": 27489 + }, + { + "epoch": 0.96, + "learning_rate": 7.128825372082926e-07, + "loss": 0.3853, + "step": 27490 + }, + { + "epoch": 0.96, + "learning_rate": 7.115718409647753e-07, + "loss": 0.401, + "step": 27491 + }, + { + "epoch": 0.96, + "learning_rate": 7.102623464422142e-07, + "loss": 0.4789, + "step": 27492 + }, + { + "epoch": 0.96, + "learning_rate": 7.089540536564631e-07, + "loss": 0.4288, + "step": 27493 + }, + { + "epoch": 0.96, + "learning_rate": 7.076469626233429e-07, + "loss": 0.4164, + "step": 27494 + }, + { + "epoch": 0.96, + "learning_rate": 7.063410733586739e-07, + "loss": 0.4003, + "step": 27495 + }, + { + "epoch": 0.96, + "learning_rate": 7.050363858782771e-07, + "loss": 0.4829, + "step": 27496 + }, + { + "epoch": 0.96, + "learning_rate": 7.037329001979398e-07, + "loss": 0.408, + "step": 27497 + }, + { + "epoch": 0.96, + "learning_rate": 7.024306163334271e-07, + "loss": 0.4392, + "step": 27498 + }, + { + "epoch": 0.96, + "learning_rate": 7.011295343005042e-07, + "loss": 0.4002, + "step": 27499 + }, + { + "epoch": 0.96, + "learning_rate": 6.998296541149252e-07, + "loss": 0.4978, + "step": 27500 + }, + { + "epoch": 0.96, + "learning_rate": 6.985309757924107e-07, + "loss": 0.4256, + "step": 27501 + }, + { + "epoch": 0.96, + "learning_rate": 6.972334993487039e-07, + "loss": 0.3799, + "step": 27502 + }, + { + "epoch": 0.96, + "learning_rate": 6.959372247994811e-07, + "loss": 0.4554, + "step": 27503 + }, + { + "epoch": 0.96, + "learning_rate": 6.946421521604518e-07, + "loss": 0.5293, + "step": 27504 + }, + { + "epoch": 0.96, + "learning_rate": 6.933482814472703e-07, + "loss": 0.4115, + "step": 27505 + }, + { + "epoch": 0.96, + "learning_rate": 6.920556126756128e-07, + "loss": 0.3552, + "step": 27506 + }, + { + "epoch": 0.96, + "learning_rate": 6.907641458611336e-07, + "loss": 0.4487, + "step": 27507 + }, + { + "epoch": 0.96, + "learning_rate": 6.894738810194312e-07, + "loss": 0.335, + "step": 27508 + }, + { + "epoch": 0.96, + "learning_rate": 6.881848181661598e-07, + "loss": 0.4648, + "step": 27509 + }, + { + "epoch": 0.96, + "learning_rate": 6.868969573168849e-07, + "loss": 0.3968, + "step": 27510 + }, + { + "epoch": 0.96, + "learning_rate": 6.85610298487227e-07, + "loss": 0.3875, + "step": 27511 + }, + { + "epoch": 0.96, + "learning_rate": 6.843248416927294e-07, + "loss": 0.4682, + "step": 27512 + }, + { + "epoch": 0.96, + "learning_rate": 6.830405869489797e-07, + "loss": 0.4578, + "step": 27513 + }, + { + "epoch": 0.96, + "learning_rate": 6.817575342714988e-07, + "loss": 0.3794, + "step": 27514 + }, + { + "epoch": 0.96, + "learning_rate": 6.804756836758297e-07, + "loss": 0.3002, + "step": 27515 + }, + { + "epoch": 0.96, + "learning_rate": 6.791950351774712e-07, + "loss": 0.4306, + "step": 27516 + }, + { + "epoch": 0.96, + "learning_rate": 6.779155887919442e-07, + "loss": 0.3998, + "step": 27517 + }, + { + "epoch": 0.96, + "learning_rate": 6.766373445347141e-07, + "loss": 0.3903, + "step": 27518 + }, + { + "epoch": 0.96, + "learning_rate": 6.753603024212685e-07, + "loss": 0.4169, + "step": 27519 + }, + { + "epoch": 0.96, + "learning_rate": 6.740844624670617e-07, + "loss": 0.428, + "step": 27520 + }, + { + "epoch": 0.96, + "learning_rate": 6.728098246875147e-07, + "loss": 0.3246, + "step": 27521 + }, + { + "epoch": 0.96, + "learning_rate": 6.715363890980819e-07, + "loss": 0.3832, + "step": 27522 + }, + { + "epoch": 0.96, + "learning_rate": 6.702641557141731e-07, + "loss": 0.378, + "step": 27523 + }, + { + "epoch": 0.96, + "learning_rate": 6.689931245511649e-07, + "loss": 0.4888, + "step": 27524 + }, + { + "epoch": 0.96, + "learning_rate": 6.677232956244672e-07, + "loss": 0.3861, + "step": 27525 + }, + { + "epoch": 0.96, + "learning_rate": 6.664546689494233e-07, + "loss": 0.4718, + "step": 27526 + }, + { + "epoch": 0.96, + "learning_rate": 6.651872445414098e-07, + "loss": 0.4143, + "step": 27527 + }, + { + "epoch": 0.96, + "learning_rate": 6.639210224157588e-07, + "loss": 0.3927, + "step": 27528 + }, + { + "epoch": 0.96, + "learning_rate": 6.626560025877915e-07, + "loss": 0.4206, + "step": 27529 + }, + { + "epoch": 0.96, + "learning_rate": 6.613921850728178e-07, + "loss": 0.3694, + "step": 27530 + }, + { + "epoch": 0.96, + "learning_rate": 6.601295698861476e-07, + "loss": 0.3719, + "step": 27531 + }, + { + "epoch": 0.96, + "learning_rate": 6.588681570430466e-07, + "loss": 0.396, + "step": 27532 + }, + { + "epoch": 0.96, + "learning_rate": 6.576079465588025e-07, + "loss": 0.4503, + "step": 27533 + }, + { + "epoch": 0.96, + "learning_rate": 6.563489384486477e-07, + "loss": 0.2961, + "step": 27534 + }, + { + "epoch": 0.96, + "learning_rate": 6.550911327278253e-07, + "loss": 0.4656, + "step": 27535 + }, + { + "epoch": 0.96, + "learning_rate": 6.538345294115567e-07, + "loss": 0.5002, + "step": 27536 + }, + { + "epoch": 0.96, + "learning_rate": 6.525791285150628e-07, + "loss": 0.4712, + "step": 27537 + }, + { + "epoch": 0.96, + "learning_rate": 6.513249300535318e-07, + "loss": 0.3905, + "step": 27538 + }, + { + "epoch": 0.96, + "learning_rate": 6.500719340421402e-07, + "loss": 0.3556, + "step": 27539 + }, + { + "epoch": 0.96, + "learning_rate": 6.488201404960648e-07, + "loss": 0.3944, + "step": 27540 + }, + { + "epoch": 0.96, + "learning_rate": 6.475695494304379e-07, + "loss": 0.4406, + "step": 27541 + }, + { + "epoch": 0.96, + "learning_rate": 6.463201608604031e-07, + "loss": 0.451, + "step": 27542 + }, + { + "epoch": 0.96, + "learning_rate": 6.450719748010925e-07, + "loss": 0.3975, + "step": 27543 + }, + { + "epoch": 0.96, + "learning_rate": 6.438249912676053e-07, + "loss": 0.488, + "step": 27544 + }, + { + "epoch": 0.96, + "learning_rate": 6.425792102750406e-07, + "loss": 0.3628, + "step": 27545 + }, + { + "epoch": 0.96, + "learning_rate": 6.413346318384528e-07, + "loss": 0.4534, + "step": 27546 + }, + { + "epoch": 0.96, + "learning_rate": 6.400912559729411e-07, + "loss": 0.4776, + "step": 27547 + }, + { + "epoch": 0.96, + "learning_rate": 6.388490826935267e-07, + "loss": 0.3767, + "step": 27548 + }, + { + "epoch": 0.96, + "learning_rate": 6.376081120152533e-07, + "loss": 0.4404, + "step": 27549 + }, + { + "epoch": 0.96, + "learning_rate": 6.36368343953142e-07, + "loss": 0.4013, + "step": 27550 + }, + { + "epoch": 0.96, + "learning_rate": 6.351297785222032e-07, + "loss": 0.422, + "step": 27551 + }, + { + "epoch": 0.96, + "learning_rate": 6.338924157374137e-07, + "loss": 0.3966, + "step": 27552 + }, + { + "epoch": 0.96, + "learning_rate": 6.326562556137616e-07, + "loss": 0.4012, + "step": 27553 + }, + { + "epoch": 0.96, + "learning_rate": 6.314212981662126e-07, + "loss": 0.3986, + "step": 27554 + }, + { + "epoch": 0.96, + "learning_rate": 6.301875434096993e-07, + "loss": 0.4561, + "step": 27555 + }, + { + "epoch": 0.96, + "learning_rate": 6.289549913591542e-07, + "loss": 0.332, + "step": 27556 + }, + { + "epoch": 0.96, + "learning_rate": 6.277236420295096e-07, + "loss": 0.4039, + "step": 27557 + }, + { + "epoch": 0.96, + "learning_rate": 6.264934954356538e-07, + "loss": 0.3471, + "step": 27558 + }, + { + "epoch": 0.96, + "learning_rate": 6.252645515924971e-07, + "loss": 0.3502, + "step": 27559 + }, + { + "epoch": 0.96, + "learning_rate": 6.240368105148942e-07, + "loss": 0.4265, + "step": 27560 + }, + { + "epoch": 0.96, + "learning_rate": 6.22810272217711e-07, + "loss": 0.3674, + "step": 27561 + }, + { + "epoch": 0.96, + "learning_rate": 6.2158493671578e-07, + "loss": 0.4365, + "step": 27562 + }, + { + "epoch": 0.96, + "learning_rate": 6.203608040239561e-07, + "loss": 0.4529, + "step": 27563 + }, + { + "epoch": 0.96, + "learning_rate": 6.191378741570497e-07, + "loss": 0.3896, + "step": 27564 + }, + { + "epoch": 0.96, + "learning_rate": 6.17916147129849e-07, + "loss": 0.3892, + "step": 27565 + }, + { + "epoch": 0.96, + "learning_rate": 6.166956229571419e-07, + "loss": 0.4704, + "step": 27566 + }, + { + "epoch": 0.96, + "learning_rate": 6.154763016537168e-07, + "loss": 0.396, + "step": 27567 + }, + { + "epoch": 0.96, + "learning_rate": 6.142581832343175e-07, + "loss": 0.3977, + "step": 27568 + }, + { + "epoch": 0.96, + "learning_rate": 6.130412677136987e-07, + "loss": 0.318, + "step": 27569 + }, + { + "epoch": 0.96, + "learning_rate": 6.11825555106571e-07, + "loss": 0.3565, + "step": 27570 + }, + { + "epoch": 0.96, + "learning_rate": 6.106110454276559e-07, + "loss": 0.443, + "step": 27571 + }, + { + "epoch": 0.96, + "learning_rate": 6.093977386916749e-07, + "loss": 0.5002, + "step": 27572 + }, + { + "epoch": 0.96, + "learning_rate": 6.08185634913283e-07, + "loss": 0.3874, + "step": 27573 + }, + { + "epoch": 0.96, + "learning_rate": 6.069747341071685e-07, + "loss": 0.4072, + "step": 27574 + }, + { + "epoch": 0.96, + "learning_rate": 6.057650362879752e-07, + "loss": 0.3946, + "step": 27575 + }, + { + "epoch": 0.96, + "learning_rate": 6.045565414703469e-07, + "loss": 0.355, + "step": 27576 + }, + { + "epoch": 0.97, + "learning_rate": 6.033492496689164e-07, + "loss": 0.48, + "step": 27577 + }, + { + "epoch": 0.97, + "learning_rate": 6.021431608983052e-07, + "loss": 0.3965, + "step": 27578 + }, + { + "epoch": 0.97, + "learning_rate": 6.009382751730907e-07, + "loss": 0.4034, + "step": 27579 + }, + { + "epoch": 0.97, + "learning_rate": 5.997345925078612e-07, + "loss": 0.4024, + "step": 27580 + }, + { + "epoch": 0.97, + "learning_rate": 5.985321129171939e-07, + "loss": 0.3902, + "step": 27581 + }, + { + "epoch": 0.97, + "learning_rate": 5.973308364156327e-07, + "loss": 0.4105, + "step": 27582 + }, + { + "epoch": 0.97, + "learning_rate": 5.961307630177326e-07, + "loss": 0.4869, + "step": 27583 + }, + { + "epoch": 0.97, + "learning_rate": 5.949318927380043e-07, + "loss": 0.4207, + "step": 27584 + }, + { + "epoch": 0.97, + "learning_rate": 5.937342255909584e-07, + "loss": 0.3969, + "step": 27585 + }, + { + "epoch": 0.97, + "learning_rate": 5.925377615910943e-07, + "loss": 0.4683, + "step": 27586 + }, + { + "epoch": 0.97, + "learning_rate": 5.913425007528894e-07, + "loss": 0.409, + "step": 27587 + }, + { + "epoch": 0.97, + "learning_rate": 5.90148443090821e-07, + "loss": 0.395, + "step": 27588 + }, + { + "epoch": 0.97, + "learning_rate": 5.889555886193332e-07, + "loss": 0.4324, + "step": 27589 + }, + { + "epoch": 0.97, + "learning_rate": 5.877639373528699e-07, + "loss": 0.5236, + "step": 27590 + }, + { + "epoch": 0.97, + "learning_rate": 5.865734893058417e-07, + "loss": 0.327, + "step": 27591 + }, + { + "epoch": 0.97, + "learning_rate": 5.853842444926594e-07, + "loss": 0.4279, + "step": 27592 + }, + { + "epoch": 0.97, + "learning_rate": 5.841962029277337e-07, + "loss": 0.4231, + "step": 27593 + }, + { + "epoch": 0.97, + "learning_rate": 5.830093646254197e-07, + "loss": 0.4292, + "step": 27594 + }, + { + "epoch": 0.97, + "learning_rate": 5.81823729600095e-07, + "loss": 0.4076, + "step": 27595 + }, + { + "epoch": 0.97, + "learning_rate": 5.806392978661146e-07, + "loss": 0.4677, + "step": 27596 + }, + { + "epoch": 0.97, + "learning_rate": 5.794560694378115e-07, + "loss": 0.3794, + "step": 27597 + }, + { + "epoch": 0.97, + "learning_rate": 5.782740443294965e-07, + "loss": 0.404, + "step": 27598 + }, + { + "epoch": 0.97, + "learning_rate": 5.770932225554804e-07, + "loss": 0.4626, + "step": 27599 + }, + { + "epoch": 0.97, + "learning_rate": 5.759136041300628e-07, + "loss": 0.4648, + "step": 27600 + }, + { + "epoch": 0.97, + "eval_loss": 0.39674118161201477, + "eval_runtime": 844.1679, + "eval_samples_per_second": 28.501, + "eval_steps_per_second": 14.251, + "step": 27600 + }, + { + "epoch": 0.97, + "learning_rate": 5.747351890675212e-07, + "loss": 0.3918, + "step": 27601 + }, + { + "epoch": 0.97, + "learning_rate": 5.735579773820998e-07, + "loss": 0.3348, + "step": 27602 + }, + { + "epoch": 0.97, + "learning_rate": 5.72381969088065e-07, + "loss": 0.3672, + "step": 27603 + }, + { + "epoch": 0.97, + "learning_rate": 5.712071641996497e-07, + "loss": 0.4094, + "step": 27604 + }, + { + "epoch": 0.97, + "learning_rate": 5.700335627310649e-07, + "loss": 0.4405, + "step": 27605 + }, + { + "epoch": 0.97, + "learning_rate": 5.688611646965213e-07, + "loss": 0.2845, + "step": 27606 + }, + { + "epoch": 0.97, + "learning_rate": 5.676899701101968e-07, + "loss": 0.4127, + "step": 27607 + }, + { + "epoch": 0.97, + "learning_rate": 5.665199789862907e-07, + "loss": 0.4472, + "step": 27608 + }, + { + "epoch": 0.97, + "learning_rate": 5.653511913389364e-07, + "loss": 0.3814, + "step": 27609 + }, + { + "epoch": 0.97, + "learning_rate": 5.641836071823003e-07, + "loss": 0.396, + "step": 27610 + }, + { + "epoch": 0.97, + "learning_rate": 5.630172265305155e-07, + "loss": 0.5084, + "step": 27611 + }, + { + "epoch": 0.97, + "learning_rate": 5.618520493976708e-07, + "loss": 0.4283, + "step": 27612 + }, + { + "epoch": 0.97, + "learning_rate": 5.606880757978994e-07, + "loss": 0.3464, + "step": 27613 + }, + { + "epoch": 0.97, + "learning_rate": 5.595253057452788e-07, + "loss": 0.4456, + "step": 27614 + }, + { + "epoch": 0.97, + "learning_rate": 5.583637392538865e-07, + "loss": 0.4078, + "step": 27615 + }, + { + "epoch": 0.97, + "learning_rate": 5.572033763377671e-07, + "loss": 0.5032, + "step": 27616 + }, + { + "epoch": 0.97, + "learning_rate": 5.560442170109759e-07, + "loss": 0.3712, + "step": 27617 + }, + { + "epoch": 0.97, + "learning_rate": 5.548862612875461e-07, + "loss": 0.4035, + "step": 27618 + }, + { + "epoch": 0.97, + "learning_rate": 5.537295091814775e-07, + "loss": 0.5179, + "step": 27619 + }, + { + "epoch": 0.97, + "learning_rate": 5.525739607067926e-07, + "loss": 0.3568, + "step": 27620 + }, + { + "epoch": 0.97, + "learning_rate": 5.514196158774687e-07, + "loss": 0.3911, + "step": 27621 + }, + { + "epoch": 0.97, + "learning_rate": 5.502664747074615e-07, + "loss": 0.3785, + "step": 27622 + }, + { + "epoch": 0.97, + "learning_rate": 5.491145372107486e-07, + "loss": 0.4027, + "step": 27623 + }, + { + "epoch": 0.97, + "learning_rate": 5.479638034012635e-07, + "loss": 0.3967, + "step": 27624 + }, + { + "epoch": 0.97, + "learning_rate": 5.468142732929282e-07, + "loss": 0.4286, + "step": 27625 + }, + { + "epoch": 0.97, + "learning_rate": 5.456659468996761e-07, + "loss": 0.3827, + "step": 27626 + }, + { + "epoch": 0.97, + "learning_rate": 5.445188242353739e-07, + "loss": 0.453, + "step": 27627 + }, + { + "epoch": 0.97, + "learning_rate": 5.433729053139325e-07, + "loss": 0.3426, + "step": 27628 + }, + { + "epoch": 0.97, + "learning_rate": 5.422281901492188e-07, + "loss": 0.3762, + "step": 27629 + }, + { + "epoch": 0.97, + "learning_rate": 5.410846787550771e-07, + "loss": 0.3527, + "step": 27630 + }, + { + "epoch": 0.97, + "learning_rate": 5.399423711453522e-07, + "loss": 0.4198, + "step": 27631 + }, + { + "epoch": 0.97, + "learning_rate": 5.388012673338661e-07, + "loss": 0.3635, + "step": 27632 + }, + { + "epoch": 0.97, + "learning_rate": 5.3766136733443e-07, + "loss": 0.3581, + "step": 27633 + }, + { + "epoch": 0.97, + "learning_rate": 5.365226711608551e-07, + "loss": 0.533, + "step": 27634 + }, + { + "epoch": 0.97, + "learning_rate": 5.353851788269082e-07, + "loss": 0.3588, + "step": 27635 + }, + { + "epoch": 0.97, + "learning_rate": 5.342488903463671e-07, + "loss": 0.4287, + "step": 27636 + }, + { + "epoch": 0.97, + "learning_rate": 5.331138057329655e-07, + "loss": 0.4914, + "step": 27637 + }, + { + "epoch": 0.97, + "learning_rate": 5.319799250004586e-07, + "loss": 0.3828, + "step": 27638 + }, + { + "epoch": 0.97, + "learning_rate": 5.308472481625693e-07, + "loss": 0.4712, + "step": 27639 + }, + { + "epoch": 0.97, + "learning_rate": 5.297157752330084e-07, + "loss": 0.3278, + "step": 27640 + }, + { + "epoch": 0.97, + "learning_rate": 5.285855062254541e-07, + "loss": 0.4135, + "step": 27641 + }, + { + "epoch": 0.97, + "learning_rate": 5.274564411536065e-07, + "loss": 0.359, + "step": 27642 + }, + { + "epoch": 0.97, + "learning_rate": 5.263285800311213e-07, + "loss": 0.4672, + "step": 27643 + }, + { + "epoch": 0.97, + "learning_rate": 5.252019228716542e-07, + "loss": 0.3896, + "step": 27644 + }, + { + "epoch": 0.97, + "learning_rate": 5.240764696888278e-07, + "loss": 0.3677, + "step": 27645 + }, + { + "epoch": 0.97, + "learning_rate": 5.229522204962867e-07, + "loss": 0.4203, + "step": 27646 + }, + { + "epoch": 0.97, + "learning_rate": 5.218291753076199e-07, + "loss": 0.4026, + "step": 27647 + }, + { + "epoch": 0.97, + "learning_rate": 5.207073341364166e-07, + "loss": 0.3722, + "step": 27648 + }, + { + "epoch": 0.97, + "learning_rate": 5.195866969962771e-07, + "loss": 0.4824, + "step": 27649 + }, + { + "epoch": 0.97, + "learning_rate": 5.18467263900746e-07, + "loss": 0.4414, + "step": 27650 + }, + { + "epoch": 0.97, + "learning_rate": 5.173490348633792e-07, + "loss": 0.4548, + "step": 27651 + }, + { + "epoch": 0.97, + "learning_rate": 5.162320098977103e-07, + "loss": 0.3884, + "step": 27652 + }, + { + "epoch": 0.97, + "learning_rate": 5.151161890172618e-07, + "loss": 0.4156, + "step": 27653 + }, + { + "epoch": 0.97, + "learning_rate": 5.14001572235523e-07, + "loss": 0.522, + "step": 27654 + }, + { + "epoch": 0.97, + "learning_rate": 5.128881595660051e-07, + "loss": 0.3796, + "step": 27655 + }, + { + "epoch": 0.97, + "learning_rate": 5.117759510221753e-07, + "loss": 0.4859, + "step": 27656 + }, + { + "epoch": 0.97, + "learning_rate": 5.106649466175006e-07, + "loss": 0.4175, + "step": 27657 + }, + { + "epoch": 0.97, + "learning_rate": 5.095551463654147e-07, + "loss": 0.4273, + "step": 27658 + }, + { + "epoch": 0.97, + "learning_rate": 5.084465502793512e-07, + "loss": 0.3949, + "step": 27659 + }, + { + "epoch": 0.97, + "learning_rate": 5.073391583727549e-07, + "loss": 0.4314, + "step": 27660 + }, + { + "epoch": 0.97, + "learning_rate": 5.06232970658993e-07, + "loss": 0.3364, + "step": 27661 + }, + { + "epoch": 0.97, + "learning_rate": 5.051279871514769e-07, + "loss": 0.4284, + "step": 27662 + }, + { + "epoch": 0.97, + "learning_rate": 5.040242078635737e-07, + "loss": 0.4822, + "step": 27663 + }, + { + "epoch": 0.97, + "learning_rate": 5.029216328086284e-07, + "loss": 0.4444, + "step": 27664 + }, + { + "epoch": 0.97, + "learning_rate": 5.01820262000019e-07, + "loss": 0.4603, + "step": 27665 + }, + { + "epoch": 0.97, + "learning_rate": 5.007200954510461e-07, + "loss": 0.3957, + "step": 27666 + }, + { + "epoch": 0.97, + "learning_rate": 4.996211331750322e-07, + "loss": 0.4414, + "step": 27667 + }, + { + "epoch": 0.97, + "learning_rate": 4.985233751852892e-07, + "loss": 0.3921, + "step": 27668 + }, + { + "epoch": 0.97, + "learning_rate": 4.97426821495095e-07, + "loss": 0.411, + "step": 27669 + }, + { + "epoch": 0.97, + "learning_rate": 4.963314721177281e-07, + "loss": 0.4242, + "step": 27670 + }, + { + "epoch": 0.97, + "learning_rate": 4.952373270664335e-07, + "loss": 0.4662, + "step": 27671 + }, + { + "epoch": 0.97, + "learning_rate": 4.94144386354467e-07, + "loss": 0.3269, + "step": 27672 + }, + { + "epoch": 0.97, + "learning_rate": 4.930526499950516e-07, + "loss": 0.4443, + "step": 27673 + }, + { + "epoch": 0.97, + "learning_rate": 4.919621180013878e-07, + "loss": 0.3948, + "step": 27674 + }, + { + "epoch": 0.97, + "learning_rate": 4.908727903866983e-07, + "loss": 0.4016, + "step": 27675 + }, + { + "epoch": 0.97, + "learning_rate": 4.897846671641615e-07, + "loss": 0.4764, + "step": 27676 + }, + { + "epoch": 0.97, + "learning_rate": 4.886977483469335e-07, + "loss": 0.3337, + "step": 27677 + }, + { + "epoch": 0.97, + "learning_rate": 4.876120339481815e-07, + "loss": 0.3741, + "step": 27678 + }, + { + "epoch": 0.97, + "learning_rate": 4.865275239810396e-07, + "loss": 0.427, + "step": 27679 + }, + { + "epoch": 0.97, + "learning_rate": 4.854442184586416e-07, + "loss": 0.4388, + "step": 27680 + }, + { + "epoch": 0.97, + "learning_rate": 4.843621173940993e-07, + "loss": 0.3891, + "step": 27681 + }, + { + "epoch": 0.97, + "learning_rate": 4.832812208005022e-07, + "loss": 0.3905, + "step": 27682 + }, + { + "epoch": 0.97, + "learning_rate": 4.822015286909399e-07, + "loss": 0.395, + "step": 27683 + }, + { + "epoch": 0.97, + "learning_rate": 4.811230410784684e-07, + "loss": 0.4152, + "step": 27684 + }, + { + "epoch": 0.97, + "learning_rate": 4.800457579761552e-07, + "loss": 0.3965, + "step": 27685 + }, + { + "epoch": 0.97, + "learning_rate": 4.789696793970344e-07, + "loss": 0.4439, + "step": 27686 + }, + { + "epoch": 0.97, + "learning_rate": 4.778948053541177e-07, + "loss": 0.4241, + "step": 27687 + }, + { + "epoch": 0.97, + "learning_rate": 4.768211358604391e-07, + "loss": 0.4343, + "step": 27688 + }, + { + "epoch": 0.97, + "learning_rate": 4.7574867092897714e-07, + "loss": 0.4271, + "step": 27689 + }, + { + "epoch": 0.97, + "learning_rate": 4.746774105727103e-07, + "loss": 0.427, + "step": 27690 + }, + { + "epoch": 0.97, + "learning_rate": 4.7360735480461714e-07, + "loss": 0.4416, + "step": 27691 + }, + { + "epoch": 0.97, + "learning_rate": 4.7253850363763173e-07, + "loss": 0.463, + "step": 27692 + }, + { + "epoch": 0.97, + "learning_rate": 4.714708570847104e-07, + "loss": 0.3747, + "step": 27693 + }, + { + "epoch": 0.97, + "learning_rate": 4.70404415158765e-07, + "loss": 0.403, + "step": 27694 + }, + { + "epoch": 0.97, + "learning_rate": 4.693391778726852e-07, + "loss": 0.3451, + "step": 27695 + }, + { + "epoch": 0.97, + "learning_rate": 4.682751452394052e-07, + "loss": 0.3535, + "step": 27696 + }, + { + "epoch": 0.97, + "learning_rate": 4.6721231727177015e-07, + "loss": 0.3474, + "step": 27697 + }, + { + "epoch": 0.97, + "learning_rate": 4.6615069398264763e-07, + "loss": 0.5262, + "step": 27698 + }, + { + "epoch": 0.97, + "learning_rate": 4.6509027538490515e-07, + "loss": 0.3831, + "step": 27699 + }, + { + "epoch": 0.97, + "learning_rate": 4.6403106149135454e-07, + "loss": 0.4907, + "step": 27700 + }, + { + "epoch": 0.97, + "learning_rate": 4.629730523148301e-07, + "loss": 0.3389, + "step": 27701 + }, + { + "epoch": 0.97, + "learning_rate": 4.619162478681327e-07, + "loss": 0.3715, + "step": 27702 + }, + { + "epoch": 0.97, + "learning_rate": 4.6086064816405205e-07, + "loss": 0.3705, + "step": 27703 + }, + { + "epoch": 0.97, + "learning_rate": 4.5980625321536686e-07, + "loss": 0.3899, + "step": 27704 + }, + { + "epoch": 0.97, + "learning_rate": 4.5875306303484465e-07, + "loss": 0.3957, + "step": 27705 + }, + { + "epoch": 0.97, + "learning_rate": 4.577010776352197e-07, + "loss": 0.3466, + "step": 27706 + }, + { + "epoch": 0.97, + "learning_rate": 4.5665029702923743e-07, + "loss": 0.4856, + "step": 27707 + }, + { + "epoch": 0.97, + "learning_rate": 4.5560072122959876e-07, + "loss": 0.3312, + "step": 27708 + }, + { + "epoch": 0.97, + "learning_rate": 4.5455235024902674e-07, + "loss": 0.4432, + "step": 27709 + }, + { + "epoch": 0.97, + "learning_rate": 4.535051841002003e-07, + "loss": 0.3807, + "step": 27710 + }, + { + "epoch": 0.97, + "learning_rate": 4.5245922279578687e-07, + "loss": 0.4585, + "step": 27711 + }, + { + "epoch": 0.97, + "learning_rate": 4.5141446634846543e-07, + "loss": 0.3496, + "step": 27712 + }, + { + "epoch": 0.97, + "learning_rate": 4.50370914770859e-07, + "loss": 0.4191, + "step": 27713 + }, + { + "epoch": 0.97, + "learning_rate": 4.493285680756132e-07, + "loss": 0.3661, + "step": 27714 + }, + { + "epoch": 0.97, + "learning_rate": 4.4828742627532894e-07, + "loss": 0.4171, + "step": 27715 + }, + { + "epoch": 0.97, + "learning_rate": 4.472474893826295e-07, + "loss": 0.3834, + "step": 27716 + }, + { + "epoch": 0.97, + "learning_rate": 4.462087574100937e-07, + "loss": 0.4628, + "step": 27717 + }, + { + "epoch": 0.97, + "learning_rate": 4.451712303702782e-07, + "loss": 0.4521, + "step": 27718 + }, + { + "epoch": 0.97, + "learning_rate": 4.4413490827576175e-07, + "loss": 0.4174, + "step": 27719 + }, + { + "epoch": 0.97, + "learning_rate": 4.4309979113906775e-07, + "loss": 0.3686, + "step": 27720 + }, + { + "epoch": 0.97, + "learning_rate": 4.4206587897273054e-07, + "loss": 0.3106, + "step": 27721 + }, + { + "epoch": 0.97, + "learning_rate": 4.410331717892735e-07, + "loss": 0.3496, + "step": 27722 + }, + { + "epoch": 0.97, + "learning_rate": 4.400016696011977e-07, + "loss": 0.3544, + "step": 27723 + }, + { + "epoch": 0.97, + "learning_rate": 4.3897137242097095e-07, + "loss": 0.4101, + "step": 27724 + }, + { + "epoch": 0.97, + "learning_rate": 4.379422802610722e-07, + "loss": 0.4523, + "step": 27725 + }, + { + "epoch": 0.97, + "learning_rate": 4.369143931339581e-07, + "loss": 0.492, + "step": 27726 + }, + { + "epoch": 0.97, + "learning_rate": 4.358877110520743e-07, + "loss": 0.4033, + "step": 27727 + }, + { + "epoch": 0.97, + "learning_rate": 4.34862234027833e-07, + "loss": 0.3853, + "step": 27728 + }, + { + "epoch": 0.97, + "learning_rate": 4.3383796207365766e-07, + "loss": 0.3365, + "step": 27729 + }, + { + "epoch": 0.97, + "learning_rate": 4.328148952019384e-07, + "loss": 0.3889, + "step": 27730 + }, + { + "epoch": 0.97, + "learning_rate": 4.317930334250653e-07, + "loss": 0.362, + "step": 27731 + }, + { + "epoch": 0.97, + "learning_rate": 4.3077237675540614e-07, + "loss": 0.4761, + "step": 27732 + }, + { + "epoch": 0.97, + "learning_rate": 4.297529252053067e-07, + "loss": 0.3671, + "step": 27733 + }, + { + "epoch": 0.97, + "learning_rate": 4.287346787871127e-07, + "loss": 0.4164, + "step": 27734 + }, + { + "epoch": 0.97, + "learning_rate": 4.2771763751313645e-07, + "loss": 0.4126, + "step": 27735 + }, + { + "epoch": 0.97, + "learning_rate": 4.267018013957014e-07, + "loss": 0.3957, + "step": 27736 + }, + { + "epoch": 0.97, + "learning_rate": 4.256871704470866e-07, + "loss": 0.3644, + "step": 27737 + }, + { + "epoch": 0.97, + "learning_rate": 4.246737446795934e-07, + "loss": 0.4412, + "step": 27738 + }, + { + "epoch": 0.97, + "learning_rate": 4.236615241054787e-07, + "loss": 0.4546, + "step": 27739 + }, + { + "epoch": 0.97, + "learning_rate": 4.226505087369881e-07, + "loss": 0.3884, + "step": 27740 + }, + { + "epoch": 0.97, + "learning_rate": 4.2164069858636745e-07, + "loss": 0.3849, + "step": 27741 + }, + { + "epoch": 0.97, + "learning_rate": 4.2063209366582925e-07, + "loss": 0.3195, + "step": 27742 + }, + { + "epoch": 0.97, + "learning_rate": 4.1962469398758586e-07, + "loss": 0.3426, + "step": 27743 + }, + { + "epoch": 0.97, + "learning_rate": 4.1861849956382757e-07, + "loss": 0.3824, + "step": 27744 + }, + { + "epoch": 0.97, + "learning_rate": 4.176135104067336e-07, + "loss": 0.3768, + "step": 27745 + }, + { + "epoch": 0.97, + "learning_rate": 4.1660972652848295e-07, + "loss": 0.454, + "step": 27746 + }, + { + "epoch": 0.97, + "learning_rate": 4.156071479411994e-07, + "loss": 0.3689, + "step": 27747 + }, + { + "epoch": 0.97, + "learning_rate": 4.1460577465702864e-07, + "loss": 0.4805, + "step": 27748 + }, + { + "epoch": 0.97, + "learning_rate": 4.1360560668809447e-07, + "loss": 0.4196, + "step": 27749 + }, + { + "epoch": 0.97, + "learning_rate": 4.126066440464982e-07, + "loss": 0.4005, + "step": 27750 + }, + { + "epoch": 0.97, + "learning_rate": 4.116088867443302e-07, + "loss": 0.3788, + "step": 27751 + }, + { + "epoch": 0.97, + "learning_rate": 4.1061233479366965e-07, + "loss": 0.3827, + "step": 27752 + }, + { + "epoch": 0.97, + "learning_rate": 4.0961698820657367e-07, + "loss": 0.3974, + "step": 27753 + }, + { + "epoch": 0.97, + "learning_rate": 4.0862284699508813e-07, + "loss": 0.4263, + "step": 27754 + }, + { + "epoch": 0.97, + "learning_rate": 4.0762991117125894e-07, + "loss": 0.3858, + "step": 27755 + }, + { + "epoch": 0.97, + "learning_rate": 4.0663818074708757e-07, + "loss": 0.5026, + "step": 27756 + }, + { + "epoch": 0.97, + "learning_rate": 4.056476557345756e-07, + "loss": 0.3539, + "step": 27757 + }, + { + "epoch": 0.97, + "learning_rate": 4.046583361457357e-07, + "loss": 0.4318, + "step": 27758 + }, + { + "epoch": 0.97, + "learning_rate": 4.036702219925137e-07, + "loss": 0.5248, + "step": 27759 + }, + { + "epoch": 0.97, + "learning_rate": 4.02683313286889e-07, + "loss": 0.3747, + "step": 27760 + }, + { + "epoch": 0.97, + "learning_rate": 4.016976100407965e-07, + "loss": 0.4743, + "step": 27761 + }, + { + "epoch": 0.97, + "learning_rate": 4.0071311226617116e-07, + "loss": 0.4319, + "step": 27762 + }, + { + "epoch": 0.97, + "learning_rate": 3.997298199749255e-07, + "loss": 0.3662, + "step": 27763 + }, + { + "epoch": 0.97, + "learning_rate": 3.987477331789613e-07, + "loss": 0.3884, + "step": 27764 + }, + { + "epoch": 0.97, + "learning_rate": 3.9776685189015784e-07, + "loss": 0.4468, + "step": 27765 + }, + { + "epoch": 0.97, + "learning_rate": 3.9678717612039453e-07, + "loss": 0.4329, + "step": 27766 + }, + { + "epoch": 0.97, + "learning_rate": 3.958087058815396e-07, + "loss": 0.3779, + "step": 27767 + }, + { + "epoch": 0.97, + "learning_rate": 3.9483144118541703e-07, + "loss": 0.4076, + "step": 27768 + }, + { + "epoch": 0.97, + "learning_rate": 3.9385538204387285e-07, + "loss": 0.4134, + "step": 27769 + }, + { + "epoch": 0.97, + "learning_rate": 3.928805284687087e-07, + "loss": 0.3879, + "step": 27770 + }, + { + "epoch": 0.97, + "learning_rate": 3.919068804717152e-07, + "loss": 0.4589, + "step": 27771 + }, + { + "epoch": 0.97, + "learning_rate": 3.9093443806469397e-07, + "loss": 0.3906, + "step": 27772 + }, + { + "epoch": 0.97, + "learning_rate": 3.8996320125940235e-07, + "loss": 0.3619, + "step": 27773 + }, + { + "epoch": 0.97, + "learning_rate": 3.889931700676086e-07, + "loss": 0.3968, + "step": 27774 + }, + { + "epoch": 0.97, + "learning_rate": 3.8802434450103675e-07, + "loss": 0.4635, + "step": 27775 + }, + { + "epoch": 0.97, + "learning_rate": 3.8705672457143294e-07, + "loss": 0.3737, + "step": 27776 + }, + { + "epoch": 0.97, + "learning_rate": 3.8609031029048783e-07, + "loss": 0.3653, + "step": 27777 + }, + { + "epoch": 0.97, + "learning_rate": 3.851251016699142e-07, + "loss": 0.447, + "step": 27778 + }, + { + "epoch": 0.97, + "learning_rate": 3.841610987213806e-07, + "loss": 0.4542, + "step": 27779 + }, + { + "epoch": 0.97, + "learning_rate": 3.831983014565776e-07, + "loss": 0.4434, + "step": 27780 + }, + { + "epoch": 0.97, + "learning_rate": 3.8223670988712936e-07, + "loss": 0.3472, + "step": 27781 + }, + { + "epoch": 0.97, + "learning_rate": 3.8127632402468195e-07, + "loss": 0.4632, + "step": 27782 + }, + { + "epoch": 0.97, + "learning_rate": 3.803171438808817e-07, + "loss": 0.3874, + "step": 27783 + }, + { + "epoch": 0.97, + "learning_rate": 3.793591694673082e-07, + "loss": 0.3543, + "step": 27784 + }, + { + "epoch": 0.97, + "learning_rate": 3.7840240079557445e-07, + "loss": 0.4731, + "step": 27785 + }, + { + "epoch": 0.97, + "learning_rate": 3.7744683787726e-07, + "loss": 0.4027, + "step": 27786 + }, + { + "epoch": 0.97, + "learning_rate": 3.7649248072392227e-07, + "loss": 0.4013, + "step": 27787 + }, + { + "epoch": 0.97, + "learning_rate": 3.755393293471077e-07, + "loss": 0.3452, + "step": 27788 + }, + { + "epoch": 0.97, + "learning_rate": 3.7458738375837354e-07, + "loss": 0.3747, + "step": 27789 + }, + { + "epoch": 0.97, + "learning_rate": 3.7363664396922185e-07, + "loss": 0.3835, + "step": 27790 + }, + { + "epoch": 0.97, + "learning_rate": 3.7268710999116553e-07, + "loss": 0.3922, + "step": 27791 + }, + { + "epoch": 0.97, + "learning_rate": 3.7173878183569545e-07, + "loss": 0.3777, + "step": 27792 + }, + { + "epoch": 0.97, + "learning_rate": 3.707916595142913e-07, + "loss": 0.4476, + "step": 27793 + }, + { + "epoch": 0.97, + "learning_rate": 3.698457430384217e-07, + "loss": 0.4308, + "step": 27794 + }, + { + "epoch": 0.97, + "learning_rate": 3.68901032419533e-07, + "loss": 0.4106, + "step": 27795 + }, + { + "epoch": 0.97, + "learning_rate": 3.679575276690606e-07, + "loss": 0.4788, + "step": 27796 + }, + { + "epoch": 0.97, + "learning_rate": 3.6701522879840634e-07, + "loss": 0.4468, + "step": 27797 + }, + { + "epoch": 0.97, + "learning_rate": 3.6607413581899453e-07, + "loss": 0.3309, + "step": 27798 + }, + { + "epoch": 0.97, + "learning_rate": 3.65134248742216e-07, + "loss": 0.427, + "step": 27799 + }, + { + "epoch": 0.97, + "learning_rate": 3.641955675794395e-07, + "loss": 0.4657, + "step": 27800 + }, + { + "epoch": 0.97, + "eval_loss": 0.3964925706386566, + "eval_runtime": 846.09, + "eval_samples_per_second": 28.437, + "eval_steps_per_second": 14.218, + "step": 27800 + }, + { + "epoch": 0.97, + "learning_rate": 3.632580923420226e-07, + "loss": 0.4975, + "step": 27801 + }, + { + "epoch": 0.97, + "learning_rate": 3.623218230413228e-07, + "loss": 0.3964, + "step": 27802 + }, + { + "epoch": 0.97, + "learning_rate": 3.6138675968866445e-07, + "loss": 0.3876, + "step": 27803 + }, + { + "epoch": 0.97, + "learning_rate": 3.6045290229536067e-07, + "loss": 0.3867, + "step": 27804 + }, + { + "epoch": 0.97, + "learning_rate": 3.5952025087272466e-07, + "loss": 0.4221, + "step": 27805 + }, + { + "epoch": 0.97, + "learning_rate": 3.585888054320474e-07, + "loss": 0.4014, + "step": 27806 + }, + { + "epoch": 0.97, + "learning_rate": 3.5765856598458657e-07, + "loss": 0.3566, + "step": 27807 + }, + { + "epoch": 0.97, + "learning_rate": 3.567295325416109e-07, + "loss": 0.4409, + "step": 27808 + }, + { + "epoch": 0.97, + "learning_rate": 3.5580170511435584e-07, + "loss": 0.404, + "step": 27809 + }, + { + "epoch": 0.97, + "learning_rate": 3.5487508371407907e-07, + "loss": 0.3526, + "step": 27810 + }, + { + "epoch": 0.97, + "learning_rate": 3.5394966835196054e-07, + "loss": 0.3942, + "step": 27811 + }, + { + "epoch": 0.97, + "learning_rate": 3.5302545903921347e-07, + "loss": 0.401, + "step": 27812 + }, + { + "epoch": 0.97, + "learning_rate": 3.5210245578704003e-07, + "loss": 0.3891, + "step": 27813 + }, + { + "epoch": 0.97, + "learning_rate": 3.5118065860658687e-07, + "loss": 0.4161, + "step": 27814 + }, + { + "epoch": 0.97, + "learning_rate": 3.5026006750903397e-07, + "loss": 0.4753, + "step": 27815 + }, + { + "epoch": 0.97, + "learning_rate": 3.4934068250549456e-07, + "loss": 0.359, + "step": 27816 + }, + { + "epoch": 0.97, + "learning_rate": 3.4842250360712645e-07, + "loss": 0.4252, + "step": 27817 + }, + { + "epoch": 0.97, + "learning_rate": 3.475055308250208e-07, + "loss": 0.4563, + "step": 27818 + }, + { + "epoch": 0.97, + "learning_rate": 3.4658976417029086e-07, + "loss": 0.3961, + "step": 27819 + }, + { + "epoch": 0.97, + "learning_rate": 3.456752036540167e-07, + "loss": 0.5171, + "step": 27820 + }, + { + "epoch": 0.97, + "learning_rate": 3.447618492872673e-07, + "loss": 0.4863, + "step": 27821 + }, + { + "epoch": 0.97, + "learning_rate": 3.438497010810893e-07, + "loss": 0.4365, + "step": 27822 + }, + { + "epoch": 0.97, + "learning_rate": 3.429387590465294e-07, + "loss": 0.4284, + "step": 27823 + }, + { + "epoch": 0.97, + "learning_rate": 3.420290231946122e-07, + "loss": 0.4548, + "step": 27824 + }, + { + "epoch": 0.97, + "learning_rate": 3.41120493536351e-07, + "loss": 0.3918, + "step": 27825 + }, + { + "epoch": 0.97, + "learning_rate": 3.4021317008273713e-07, + "loss": 0.3738, + "step": 27826 + }, + { + "epoch": 0.97, + "learning_rate": 3.393070528447506e-07, + "loss": 0.4056, + "step": 27827 + }, + { + "epoch": 0.97, + "learning_rate": 3.3840214183337157e-07, + "loss": 0.4692, + "step": 27828 + }, + { + "epoch": 0.97, + "learning_rate": 3.3749843705953577e-07, + "loss": 0.4143, + "step": 27829 + }, + { + "epoch": 0.97, + "learning_rate": 3.365959385341899e-07, + "loss": 0.4053, + "step": 27830 + }, + { + "epoch": 0.97, + "learning_rate": 3.3569464626826976e-07, + "loss": 0.3962, + "step": 27831 + }, + { + "epoch": 0.97, + "learning_rate": 3.347945602726554e-07, + "loss": 0.3917, + "step": 27832 + }, + { + "epoch": 0.97, + "learning_rate": 3.338956805582605e-07, + "loss": 0.3553, + "step": 27833 + }, + { + "epoch": 0.97, + "learning_rate": 3.32998007135954e-07, + "loss": 0.3999, + "step": 27834 + }, + { + "epoch": 0.97, + "learning_rate": 3.321015400166161e-07, + "loss": 0.4037, + "step": 27835 + }, + { + "epoch": 0.97, + "learning_rate": 3.312062792110826e-07, + "loss": 0.4229, + "step": 27836 + }, + { + "epoch": 0.97, + "learning_rate": 3.303122247302004e-07, + "loss": 0.4505, + "step": 27837 + }, + { + "epoch": 0.97, + "learning_rate": 3.2941937658477197e-07, + "loss": 0.4016, + "step": 27838 + }, + { + "epoch": 0.97, + "learning_rate": 3.285277347856219e-07, + "loss": 0.4356, + "step": 27839 + }, + { + "epoch": 0.97, + "learning_rate": 3.276372993435417e-07, + "loss": 0.4034, + "step": 27840 + }, + { + "epoch": 0.97, + "learning_rate": 3.2674807026930044e-07, + "loss": 0.4008, + "step": 27841 + }, + { + "epoch": 0.97, + "learning_rate": 3.258600475736562e-07, + "loss": 0.3723, + "step": 27842 + }, + { + "epoch": 0.97, + "learning_rate": 3.24973231267367e-07, + "loss": 0.4461, + "step": 27843 + }, + { + "epoch": 0.97, + "learning_rate": 3.2408762136116875e-07, + "loss": 0.362, + "step": 27844 + }, + { + "epoch": 0.97, + "learning_rate": 3.2320321786577514e-07, + "loss": 0.352, + "step": 27845 + }, + { + "epoch": 0.97, + "learning_rate": 3.223200207918775e-07, + "loss": 0.341, + "step": 27846 + }, + { + "epoch": 0.97, + "learning_rate": 3.214380301501896e-07, + "loss": 0.4745, + "step": 27847 + }, + { + "epoch": 0.97, + "learning_rate": 3.205572459513695e-07, + "loss": 0.4402, + "step": 27848 + }, + { + "epoch": 0.97, + "learning_rate": 3.196776682060865e-07, + "loss": 0.4236, + "step": 27849 + }, + { + "epoch": 0.97, + "learning_rate": 3.1879929692498757e-07, + "loss": 0.4291, + "step": 27850 + }, + { + "epoch": 0.97, + "learning_rate": 3.1792213211869757e-07, + "loss": 0.4613, + "step": 27851 + }, + { + "epoch": 0.97, + "learning_rate": 3.170461737978303e-07, + "loss": 0.4526, + "step": 27852 + }, + { + "epoch": 0.97, + "learning_rate": 3.161714219729883e-07, + "loss": 0.4686, + "step": 27853 + }, + { + "epoch": 0.97, + "learning_rate": 3.152978766547743e-07, + "loss": 0.4141, + "step": 27854 + }, + { + "epoch": 0.97, + "learning_rate": 3.144255378537464e-07, + "loss": 0.4502, + "step": 27855 + }, + { + "epoch": 0.97, + "learning_rate": 3.135544055804629e-07, + "loss": 0.5132, + "step": 27856 + }, + { + "epoch": 0.97, + "learning_rate": 3.1268447984547087e-07, + "loss": 0.4097, + "step": 27857 + }, + { + "epoch": 0.97, + "learning_rate": 3.118157606593064e-07, + "loss": 0.4589, + "step": 27858 + }, + { + "epoch": 0.97, + "learning_rate": 3.1094824803247213e-07, + "loss": 0.4327, + "step": 27859 + }, + { + "epoch": 0.97, + "learning_rate": 3.100819419754708e-07, + "loss": 0.3616, + "step": 27860 + }, + { + "epoch": 0.97, + "learning_rate": 3.092168424987829e-07, + "loss": 0.4711, + "step": 27861 + }, + { + "epoch": 0.97, + "learning_rate": 3.0835294961290005e-07, + "loss": 0.4158, + "step": 27862 + }, + { + "epoch": 0.98, + "learning_rate": 3.0749026332824725e-07, + "loss": 0.3873, + "step": 27863 + }, + { + "epoch": 0.98, + "learning_rate": 3.0662878365529393e-07, + "loss": 0.3859, + "step": 27864 + }, + { + "epoch": 0.98, + "learning_rate": 3.057685106044539e-07, + "loss": 0.3931, + "step": 27865 + }, + { + "epoch": 0.98, + "learning_rate": 3.049094441861411e-07, + "loss": 0.4814, + "step": 27866 + }, + { + "epoch": 0.98, + "learning_rate": 3.040515844107583e-07, + "loss": 0.4629, + "step": 27867 + }, + { + "epoch": 0.98, + "learning_rate": 3.0319493128866396e-07, + "loss": 0.3827, + "step": 27868 + }, + { + "epoch": 0.98, + "learning_rate": 3.0233948483026077e-07, + "loss": 0.3493, + "step": 27869 + }, + { + "epoch": 0.98, + "learning_rate": 3.0148524504588493e-07, + "loss": 0.41, + "step": 27870 + }, + { + "epoch": 0.98, + "learning_rate": 3.006322119458727e-07, + "loss": 0.4599, + "step": 27871 + }, + { + "epoch": 0.98, + "learning_rate": 2.997803855405601e-07, + "loss": 0.3754, + "step": 27872 + }, + { + "epoch": 0.98, + "learning_rate": 2.989297658402501e-07, + "loss": 0.3694, + "step": 27873 + }, + { + "epoch": 0.98, + "learning_rate": 2.980803528552345e-07, + "loss": 0.3962, + "step": 27874 + }, + { + "epoch": 0.98, + "learning_rate": 2.972321465957939e-07, + "loss": 0.383, + "step": 27875 + }, + { + "epoch": 0.98, + "learning_rate": 2.9638514707220897e-07, + "loss": 0.4358, + "step": 27876 + }, + { + "epoch": 0.98, + "learning_rate": 2.95539354294716e-07, + "loss": 0.4742, + "step": 27877 + }, + { + "epoch": 0.98, + "learning_rate": 2.9469476827355123e-07, + "loss": 0.4315, + "step": 27878 + }, + { + "epoch": 0.98, + "learning_rate": 2.9385138901895094e-07, + "loss": 0.4401, + "step": 27879 + }, + { + "epoch": 0.98, + "learning_rate": 2.930092165411069e-07, + "loss": 0.3965, + "step": 27880 + }, + { + "epoch": 0.98, + "learning_rate": 2.9216825085022214e-07, + "loss": 0.4369, + "step": 27881 + }, + { + "epoch": 0.98, + "learning_rate": 2.9132849195647737e-07, + "loss": 0.3962, + "step": 27882 + }, + { + "epoch": 0.98, + "learning_rate": 2.9048993987002004e-07, + "loss": 0.3742, + "step": 27883 + }, + { + "epoch": 0.98, + "learning_rate": 2.896525946010198e-07, + "loss": 0.4047, + "step": 27884 + }, + { + "epoch": 0.98, + "learning_rate": 2.8881645615960184e-07, + "loss": 0.3428, + "step": 27885 + }, + { + "epoch": 0.98, + "learning_rate": 2.8798152455589146e-07, + "loss": 0.4644, + "step": 27886 + }, + { + "epoch": 0.98, + "learning_rate": 2.8714779979999163e-07, + "loss": 0.4248, + "step": 27887 + }, + { + "epoch": 0.98, + "learning_rate": 2.863152819019832e-07, + "loss": 0.4229, + "step": 27888 + }, + { + "epoch": 0.98, + "learning_rate": 2.85483970871947e-07, + "loss": 0.4083, + "step": 27889 + }, + { + "epoch": 0.98, + "learning_rate": 2.8465386671995275e-07, + "loss": 0.3634, + "step": 27890 + }, + { + "epoch": 0.98, + "learning_rate": 2.83824969456048e-07, + "loss": 0.3887, + "step": 27891 + }, + { + "epoch": 0.98, + "learning_rate": 2.82997279090258e-07, + "loss": 0.3741, + "step": 27892 + }, + { + "epoch": 0.98, + "learning_rate": 2.8217079563259694e-07, + "loss": 0.3575, + "step": 27893 + }, + { + "epoch": 0.98, + "learning_rate": 2.813455190930681e-07, + "loss": 0.4335, + "step": 27894 + }, + { + "epoch": 0.98, + "learning_rate": 2.805214494816744e-07, + "loss": 0.4129, + "step": 27895 + }, + { + "epoch": 0.98, + "learning_rate": 2.796985868083857e-07, + "loss": 0.3854, + "step": 27896 + }, + { + "epoch": 0.98, + "learning_rate": 2.7887693108314963e-07, + "loss": 0.3957, + "step": 27897 + }, + { + "epoch": 0.98, + "learning_rate": 2.7805648231592485e-07, + "loss": 0.4773, + "step": 27898 + }, + { + "epoch": 0.98, + "learning_rate": 2.772372405166257e-07, + "loss": 0.3998, + "step": 27899 + }, + { + "epoch": 0.98, + "learning_rate": 2.7641920569517753e-07, + "loss": 0.4176, + "step": 27900 + }, + { + "epoch": 0.98, + "learning_rate": 2.756023778614836e-07, + "loss": 0.4144, + "step": 27901 + }, + { + "epoch": 0.98, + "learning_rate": 2.747867570254359e-07, + "loss": 0.3498, + "step": 27902 + }, + { + "epoch": 0.98, + "learning_rate": 2.7397234319688215e-07, + "loss": 0.3957, + "step": 27903 + }, + { + "epoch": 0.98, + "learning_rate": 2.731591363857033e-07, + "loss": 0.401, + "step": 27904 + }, + { + "epoch": 0.98, + "learning_rate": 2.7234713660173603e-07, + "loss": 0.5813, + "step": 27905 + }, + { + "epoch": 0.98, + "learning_rate": 2.7153634385479466e-07, + "loss": 0.3991, + "step": 27906 + }, + { + "epoch": 0.98, + "learning_rate": 2.707267581547157e-07, + "loss": 0.4247, + "step": 27907 + }, + { + "epoch": 0.98, + "learning_rate": 2.699183795112803e-07, + "loss": 0.4691, + "step": 27908 + }, + { + "epoch": 0.98, + "learning_rate": 2.6911120793428056e-07, + "loss": 0.3716, + "step": 27909 + }, + { + "epoch": 0.98, + "learning_rate": 2.683052434334754e-07, + "loss": 0.5392, + "step": 27910 + }, + { + "epoch": 0.98, + "learning_rate": 2.675004860186348e-07, + "loss": 0.4601, + "step": 27911 + }, + { + "epoch": 0.98, + "learning_rate": 2.666969356994842e-07, + "loss": 0.4051, + "step": 27912 + }, + { + "epoch": 0.98, + "learning_rate": 2.658945924857603e-07, + "loss": 0.3774, + "step": 27913 + }, + { + "epoch": 0.98, + "learning_rate": 2.6509345638717764e-07, + "loss": 0.4141, + "step": 27914 + }, + { + "epoch": 0.98, + "learning_rate": 2.642935274134173e-07, + "loss": 0.3904, + "step": 27915 + }, + { + "epoch": 0.98, + "learning_rate": 2.634948055741715e-07, + "loss": 0.4032, + "step": 27916 + }, + { + "epoch": 0.98, + "learning_rate": 2.6269729087909924e-07, + "loss": 0.4657, + "step": 27917 + }, + { + "epoch": 0.98, + "learning_rate": 2.619009833378705e-07, + "loss": 0.4373, + "step": 27918 + }, + { + "epoch": 0.98, + "learning_rate": 2.6110588296009986e-07, + "loss": 0.3351, + "step": 27919 + }, + { + "epoch": 0.98, + "learning_rate": 2.603119897554351e-07, + "loss": 0.4671, + "step": 27920 + }, + { + "epoch": 0.98, + "learning_rate": 2.5951930373346864e-07, + "loss": 0.3347, + "step": 27921 + }, + { + "epoch": 0.98, + "learning_rate": 2.5872782490379277e-07, + "loss": 0.4295, + "step": 27922 + }, + { + "epoch": 0.98, + "learning_rate": 2.5793755327599977e-07, + "loss": 0.4749, + "step": 27923 + }, + { + "epoch": 0.98, + "learning_rate": 2.571484888596376e-07, + "loss": 0.3779, + "step": 27924 + }, + { + "epoch": 0.98, + "learning_rate": 2.563606316642764e-07, + "loss": 0.4037, + "step": 27925 + }, + { + "epoch": 0.98, + "learning_rate": 2.5557398169943067e-07, + "loss": 0.3978, + "step": 27926 + }, + { + "epoch": 0.98, + "learning_rate": 2.547885389746485e-07, + "loss": 0.3729, + "step": 27927 + }, + { + "epoch": 0.98, + "learning_rate": 2.5400430349941107e-07, + "loss": 0.4451, + "step": 27928 + }, + { + "epoch": 0.98, + "learning_rate": 2.5322127528322194e-07, + "loss": 0.3476, + "step": 27929 + }, + { + "epoch": 0.98, + "learning_rate": 2.524394543355513e-07, + "loss": 0.3459, + "step": 27930 + }, + { + "epoch": 0.98, + "learning_rate": 2.516588406658693e-07, + "loss": 0.3723, + "step": 27931 + }, + { + "epoch": 0.98, + "learning_rate": 2.5087943428362405e-07, + "loss": 0.396, + "step": 27932 + }, + { + "epoch": 0.98, + "learning_rate": 2.501012351982523e-07, + "loss": 0.4007, + "step": 27933 + }, + { + "epoch": 0.98, + "learning_rate": 2.4932424341915785e-07, + "loss": 0.4036, + "step": 27934 + }, + { + "epoch": 0.98, + "learning_rate": 2.485484589557552e-07, + "loss": 0.3824, + "step": 27935 + }, + { + "epoch": 0.98, + "learning_rate": 2.4777388181743687e-07, + "loss": 0.4931, + "step": 27936 + }, + { + "epoch": 0.98, + "learning_rate": 2.470005120135732e-07, + "loss": 0.3842, + "step": 27937 + }, + { + "epoch": 0.98, + "learning_rate": 2.462283495535234e-07, + "loss": 0.3901, + "step": 27938 + }, + { + "epoch": 0.98, + "learning_rate": 2.454573944466243e-07, + "loss": 0.4421, + "step": 27939 + }, + { + "epoch": 0.98, + "learning_rate": 2.446876467022352e-07, + "loss": 0.4296, + "step": 27940 + }, + { + "epoch": 0.98, + "learning_rate": 2.4391910632963755e-07, + "loss": 0.3775, + "step": 27941 + }, + { + "epoch": 0.98, + "learning_rate": 2.431517733381683e-07, + "loss": 0.4216, + "step": 27942 + }, + { + "epoch": 0.98, + "learning_rate": 2.423856477370867e-07, + "loss": 0.43, + "step": 27943 + }, + { + "epoch": 0.98, + "learning_rate": 2.416207295356743e-07, + "loss": 0.3955, + "step": 27944 + }, + { + "epoch": 0.98, + "learning_rate": 2.4085701874319024e-07, + "loss": 0.4934, + "step": 27945 + }, + { + "epoch": 0.98, + "learning_rate": 2.4009451536888274e-07, + "loss": 0.4351, + "step": 27946 + }, + { + "epoch": 0.98, + "learning_rate": 2.393332194219777e-07, + "loss": 0.3718, + "step": 27947 + }, + { + "epoch": 0.98, + "learning_rate": 2.3857313091169007e-07, + "loss": 0.4266, + "step": 27948 + }, + { + "epoch": 0.98, + "learning_rate": 2.3781424984721246e-07, + "loss": 0.3736, + "step": 27949 + }, + { + "epoch": 0.98, + "learning_rate": 2.3705657623772636e-07, + "loss": 0.3894, + "step": 27950 + }, + { + "epoch": 0.98, + "learning_rate": 2.3630011009242447e-07, + "loss": 0.4623, + "step": 27951 + }, + { + "epoch": 0.98, + "learning_rate": 2.355448514204439e-07, + "loss": 0.3498, + "step": 27952 + }, + { + "epoch": 0.98, + "learning_rate": 2.347908002309329e-07, + "loss": 0.3862, + "step": 27953 + }, + { + "epoch": 0.98, + "learning_rate": 2.340379565330064e-07, + "loss": 0.3571, + "step": 27954 + }, + { + "epoch": 0.98, + "learning_rate": 2.3328632033580156e-07, + "loss": 0.4546, + "step": 27955 + }, + { + "epoch": 0.98, + "learning_rate": 2.3253589164837774e-07, + "loss": 0.3546, + "step": 27956 + }, + { + "epoch": 0.98, + "learning_rate": 2.3178667047986103e-07, + "loss": 0.4033, + "step": 27957 + }, + { + "epoch": 0.98, + "learning_rate": 2.310386568392886e-07, + "loss": 0.3902, + "step": 27958 + }, + { + "epoch": 0.98, + "learning_rate": 2.302918507357199e-07, + "loss": 0.402, + "step": 27959 + }, + { + "epoch": 0.98, + "learning_rate": 2.2954625217820324e-07, + "loss": 0.4439, + "step": 27960 + }, + { + "epoch": 0.98, + "learning_rate": 2.2880186117575363e-07, + "loss": 0.4295, + "step": 27961 + }, + { + "epoch": 0.98, + "learning_rate": 2.28058677737375e-07, + "loss": 0.4615, + "step": 27962 + }, + { + "epoch": 0.98, + "learning_rate": 2.2731670187208233e-07, + "loss": 0.4005, + "step": 27963 + }, + { + "epoch": 0.98, + "learning_rate": 2.265759335888462e-07, + "loss": 0.4126, + "step": 27964 + }, + { + "epoch": 0.98, + "learning_rate": 2.2583637289662618e-07, + "loss": 0.445, + "step": 27965 + }, + { + "epoch": 0.98, + "learning_rate": 2.2509801980438173e-07, + "loss": 0.3226, + "step": 27966 + }, + { + "epoch": 0.98, + "learning_rate": 2.2436087432103904e-07, + "loss": 0.4312, + "step": 27967 + }, + { + "epoch": 0.98, + "learning_rate": 2.236249364555354e-07, + "loss": 0.4151, + "step": 27968 + }, + { + "epoch": 0.98, + "learning_rate": 2.228902062167637e-07, + "loss": 0.4157, + "step": 27969 + }, + { + "epoch": 0.98, + "learning_rate": 2.2215668361362795e-07, + "loss": 0.4091, + "step": 27970 + }, + { + "epoch": 0.98, + "learning_rate": 2.2142436865499882e-07, + "loss": 0.392, + "step": 27971 + }, + { + "epoch": 0.98, + "learning_rate": 2.206932613497359e-07, + "loss": 0.3907, + "step": 27972 + }, + { + "epoch": 0.98, + "learning_rate": 2.1996336170669873e-07, + "loss": 0.4087, + "step": 27973 + }, + { + "epoch": 0.98, + "learning_rate": 2.1923466973471363e-07, + "loss": 0.4011, + "step": 27974 + }, + { + "epoch": 0.98, + "learning_rate": 2.1850718544260684e-07, + "loss": 0.3822, + "step": 27975 + }, + { + "epoch": 0.98, + "learning_rate": 2.1778090883917134e-07, + "loss": 0.3529, + "step": 27976 + }, + { + "epoch": 0.98, + "learning_rate": 2.1705583993322231e-07, + "loss": 0.4131, + "step": 27977 + }, + { + "epoch": 0.98, + "learning_rate": 2.163319787335083e-07, + "loss": 0.4869, + "step": 27978 + }, + { + "epoch": 0.98, + "learning_rate": 2.1560932524880007e-07, + "loss": 0.4367, + "step": 27979 + }, + { + "epoch": 0.98, + "learning_rate": 2.1488787948784616e-07, + "loss": 0.4213, + "step": 27980 + }, + { + "epoch": 0.98, + "learning_rate": 2.1416764145938407e-07, + "loss": 0.3828, + "step": 27981 + }, + { + "epoch": 0.98, + "learning_rate": 2.134486111721179e-07, + "loss": 0.4443, + "step": 27982 + }, + { + "epoch": 0.98, + "learning_rate": 2.1273078863476292e-07, + "loss": 0.4477, + "step": 27983 + }, + { + "epoch": 0.98, + "learning_rate": 2.1201417385598998e-07, + "loss": 0.3552, + "step": 27984 + }, + { + "epoch": 0.98, + "learning_rate": 2.1129876684449213e-07, + "loss": 0.4903, + "step": 27985 + }, + { + "epoch": 0.98, + "learning_rate": 2.1058456760891798e-07, + "loss": 0.4526, + "step": 27986 + }, + { + "epoch": 0.98, + "learning_rate": 2.098715761579162e-07, + "loss": 0.3762, + "step": 27987 + }, + { + "epoch": 0.98, + "learning_rate": 2.091597925001132e-07, + "loss": 0.4862, + "step": 27988 + }, + { + "epoch": 0.98, + "learning_rate": 2.084492166441243e-07, + "loss": 0.4031, + "step": 27989 + }, + { + "epoch": 0.98, + "learning_rate": 2.077398485985427e-07, + "loss": 0.4073, + "step": 27990 + }, + { + "epoch": 0.98, + "learning_rate": 2.070316883719725e-07, + "loss": 0.3731, + "step": 27991 + }, + { + "epoch": 0.98, + "learning_rate": 2.0632473597296253e-07, + "loss": 0.4715, + "step": 27992 + }, + { + "epoch": 0.98, + "learning_rate": 2.0561899141009476e-07, + "loss": 0.4416, + "step": 27993 + }, + { + "epoch": 0.98, + "learning_rate": 2.0491445469188463e-07, + "loss": 0.4478, + "step": 27994 + }, + { + "epoch": 0.98, + "learning_rate": 2.0421112582688085e-07, + "loss": 0.475, + "step": 27995 + }, + { + "epoch": 0.98, + "learning_rate": 2.035090048235766e-07, + "loss": 0.3817, + "step": 27996 + }, + { + "epoch": 0.98, + "learning_rate": 2.0280809169048732e-07, + "loss": 0.4568, + "step": 27997 + }, + { + "epoch": 0.98, + "learning_rate": 2.0210838643608398e-07, + "loss": 0.449, + "step": 27998 + }, + { + "epoch": 0.98, + "learning_rate": 2.0140988906883762e-07, + "loss": 0.4619, + "step": 27999 + }, + { + "epoch": 0.98, + "learning_rate": 2.0071259959721922e-07, + "loss": 0.3959, + "step": 28000 + }, + { + "epoch": 0.98, + "eval_loss": 0.3964395821094513, + "eval_runtime": 848.064, + "eval_samples_per_second": 28.371, + "eval_steps_per_second": 14.185, + "step": 28000 + }, + { + "epoch": 0.98, + "learning_rate": 2.0001651802964428e-07, + "loss": 0.4097, + "step": 28001 + }, + { + "epoch": 0.98, + "learning_rate": 1.9932164437455047e-07, + "loss": 0.3799, + "step": 28002 + }, + { + "epoch": 0.98, + "learning_rate": 1.9862797864034221e-07, + "loss": 0.4018, + "step": 28003 + }, + { + "epoch": 0.98, + "learning_rate": 1.9793552083541278e-07, + "loss": 0.4298, + "step": 28004 + }, + { + "epoch": 0.98, + "learning_rate": 1.9724427096816656e-07, + "loss": 0.3656, + "step": 28005 + }, + { + "epoch": 0.98, + "learning_rate": 1.9655422904693022e-07, + "loss": 0.4754, + "step": 28006 + }, + { + "epoch": 0.98, + "learning_rate": 1.9586539508009704e-07, + "loss": 0.4215, + "step": 28007 + }, + { + "epoch": 0.98, + "learning_rate": 1.951777690759715e-07, + "loss": 0.424, + "step": 28008 + }, + { + "epoch": 0.98, + "learning_rate": 1.944913510428914e-07, + "loss": 0.3461, + "step": 28009 + }, + { + "epoch": 0.98, + "learning_rate": 1.9380614098917226e-07, + "loss": 0.401, + "step": 28010 + }, + { + "epoch": 0.98, + "learning_rate": 1.9312213892308528e-07, + "loss": 0.4471, + "step": 28011 + }, + { + "epoch": 0.98, + "learning_rate": 1.924393448529349e-07, + "loss": 0.4103, + "step": 28012 + }, + { + "epoch": 0.98, + "learning_rate": 1.91757758786959e-07, + "loss": 0.3795, + "step": 28013 + }, + { + "epoch": 0.98, + "learning_rate": 1.9107738073342874e-07, + "loss": 0.3583, + "step": 28014 + }, + { + "epoch": 0.98, + "learning_rate": 1.9039821070057084e-07, + "loss": 0.4066, + "step": 28015 + }, + { + "epoch": 0.98, + "learning_rate": 1.897202486965899e-07, + "loss": 0.4839, + "step": 28016 + }, + { + "epoch": 0.98, + "learning_rate": 1.890434947297237e-07, + "loss": 0.41, + "step": 28017 + }, + { + "epoch": 0.98, + "learning_rate": 1.8836794880814358e-07, + "loss": 0.4334, + "step": 28018 + }, + { + "epoch": 0.98, + "learning_rate": 1.876936109400207e-07, + "loss": 0.3907, + "step": 28019 + }, + { + "epoch": 0.98, + "learning_rate": 1.8702048113352631e-07, + "loss": 0.4977, + "step": 28020 + }, + { + "epoch": 0.98, + "learning_rate": 1.863485593968095e-07, + "loss": 0.4466, + "step": 28021 + }, + { + "epoch": 0.98, + "learning_rate": 1.8567784573799707e-07, + "loss": 0.3515, + "step": 28022 + }, + { + "epoch": 0.98, + "learning_rate": 1.8500834016520475e-07, + "loss": 0.3773, + "step": 28023 + }, + { + "epoch": 0.98, + "learning_rate": 1.8434004268654825e-07, + "loss": 0.4091, + "step": 28024 + }, + { + "epoch": 0.98, + "learning_rate": 1.8367295331011003e-07, + "loss": 0.4809, + "step": 28025 + }, + { + "epoch": 0.98, + "learning_rate": 1.8300707204395028e-07, + "loss": 0.4348, + "step": 28026 + }, + { + "epoch": 0.98, + "learning_rate": 1.8234239889614036e-07, + "loss": 0.4576, + "step": 28027 + }, + { + "epoch": 0.98, + "learning_rate": 1.8167893387472935e-07, + "loss": 0.3438, + "step": 28028 + }, + { + "epoch": 0.98, + "learning_rate": 1.8101667698774415e-07, + "loss": 0.4248, + "step": 28029 + }, + { + "epoch": 0.98, + "learning_rate": 1.8035562824320063e-07, + "loss": 0.4252, + "step": 28030 + }, + { + "epoch": 0.98, + "learning_rate": 1.7969578764909235e-07, + "loss": 0.3799, + "step": 28031 + }, + { + "epoch": 0.98, + "learning_rate": 1.790371552134129e-07, + "loss": 0.3976, + "step": 28032 + }, + { + "epoch": 0.98, + "learning_rate": 1.7837973094413375e-07, + "loss": 0.4164, + "step": 28033 + }, + { + "epoch": 0.98, + "learning_rate": 1.7772351484920402e-07, + "loss": 0.4071, + "step": 28034 + }, + { + "epoch": 0.98, + "learning_rate": 1.7706850693658407e-07, + "loss": 0.3659, + "step": 28035 + }, + { + "epoch": 0.98, + "learning_rate": 1.7641470721417864e-07, + "loss": 0.3795, + "step": 28036 + }, + { + "epoch": 0.98, + "learning_rate": 1.7576211568991474e-07, + "loss": 0.4452, + "step": 28037 + }, + { + "epoch": 0.98, + "learning_rate": 1.7511073237168607e-07, + "loss": 0.466, + "step": 28038 + }, + { + "epoch": 0.98, + "learning_rate": 1.744605572673863e-07, + "loss": 0.4391, + "step": 28039 + }, + { + "epoch": 0.98, + "learning_rate": 1.7381159038487583e-07, + "loss": 0.4762, + "step": 28040 + }, + { + "epoch": 0.98, + "learning_rate": 1.731638317320039e-07, + "loss": 0.3273, + "step": 28041 + }, + { + "epoch": 0.98, + "learning_rate": 1.7251728131661983e-07, + "loss": 0.4092, + "step": 28042 + }, + { + "epoch": 0.98, + "learning_rate": 1.7187193914655063e-07, + "loss": 0.5011, + "step": 28043 + }, + { + "epoch": 0.98, + "learning_rate": 1.7122780522960123e-07, + "loss": 0.4494, + "step": 28044 + }, + { + "epoch": 0.98, + "learning_rate": 1.705848795735654e-07, + "loss": 0.3844, + "step": 28045 + }, + { + "epoch": 0.98, + "learning_rate": 1.6994316218623685e-07, + "loss": 0.3742, + "step": 28046 + }, + { + "epoch": 0.98, + "learning_rate": 1.6930265307536497e-07, + "loss": 0.4016, + "step": 28047 + }, + { + "epoch": 0.98, + "learning_rate": 1.686633522487213e-07, + "loss": 0.4516, + "step": 28048 + }, + { + "epoch": 0.98, + "learning_rate": 1.6802525971403304e-07, + "loss": 0.3729, + "step": 28049 + }, + { + "epoch": 0.98, + "learning_rate": 1.673883754790162e-07, + "loss": 0.4141, + "step": 28050 + }, + { + "epoch": 0.98, + "learning_rate": 1.6675269955139794e-07, + "loss": 0.423, + "step": 28051 + }, + { + "epoch": 0.98, + "learning_rate": 1.661182319388499e-07, + "loss": 0.4865, + "step": 28052 + }, + { + "epoch": 0.98, + "learning_rate": 1.6548497264906592e-07, + "loss": 0.3916, + "step": 28053 + }, + { + "epoch": 0.98, + "learning_rate": 1.6485292168970656e-07, + "loss": 0.3229, + "step": 28054 + }, + { + "epoch": 0.98, + "learning_rate": 1.6422207906843234e-07, + "loss": 0.3666, + "step": 28055 + }, + { + "epoch": 0.98, + "learning_rate": 1.635924447928594e-07, + "loss": 0.3741, + "step": 28056 + }, + { + "epoch": 0.98, + "learning_rate": 1.6296401887061497e-07, + "loss": 0.4941, + "step": 28057 + }, + { + "epoch": 0.98, + "learning_rate": 1.6233680130931518e-07, + "loss": 0.4338, + "step": 28058 + }, + { + "epoch": 0.98, + "learning_rate": 1.6171079211653172e-07, + "loss": 0.3361, + "step": 28059 + }, + { + "epoch": 0.98, + "learning_rate": 1.6108599129986969e-07, + "loss": 0.4224, + "step": 28060 + }, + { + "epoch": 0.98, + "learning_rate": 1.6046239886686743e-07, + "loss": 0.3989, + "step": 28061 + }, + { + "epoch": 0.98, + "learning_rate": 1.598400148250745e-07, + "loss": 0.4911, + "step": 28062 + }, + { + "epoch": 0.98, + "learning_rate": 1.592188391820404e-07, + "loss": 0.4042, + "step": 28063 + }, + { + "epoch": 0.98, + "learning_rate": 1.5859887194527023e-07, + "loss": 0.3916, + "step": 28064 + }, + { + "epoch": 0.98, + "learning_rate": 1.57980113122258e-07, + "loss": 0.4345, + "step": 28065 + }, + { + "epoch": 0.98, + "learning_rate": 1.5736256272051998e-07, + "loss": 0.4013, + "step": 28066 + }, + { + "epoch": 0.98, + "learning_rate": 1.5674622074750567e-07, + "loss": 0.4556, + "step": 28067 + }, + { + "epoch": 0.98, + "learning_rate": 1.5613108721068693e-07, + "loss": 0.4107, + "step": 28068 + }, + { + "epoch": 0.98, + "learning_rate": 1.5551716211751334e-07, + "loss": 0.4532, + "step": 28069 + }, + { + "epoch": 0.98, + "learning_rate": 1.5490444547540118e-07, + "loss": 0.4418, + "step": 28070 + }, + { + "epoch": 0.98, + "learning_rate": 1.5429293729177786e-07, + "loss": 0.3854, + "step": 28071 + }, + { + "epoch": 0.98, + "learning_rate": 1.5368263757403745e-07, + "loss": 0.4028, + "step": 28072 + }, + { + "epoch": 0.98, + "learning_rate": 1.5307354632957404e-07, + "loss": 0.4159, + "step": 28073 + }, + { + "epoch": 0.98, + "learning_rate": 1.5246566356574842e-07, + "loss": 0.4069, + "step": 28074 + }, + { + "epoch": 0.98, + "learning_rate": 1.5185898928993247e-07, + "loss": 0.5097, + "step": 28075 + }, + { + "epoch": 0.98, + "learning_rate": 1.5125352350945366e-07, + "loss": 0.4206, + "step": 28076 + }, + { + "epoch": 0.98, + "learning_rate": 1.5064926623166166e-07, + "loss": 0.374, + "step": 28077 + }, + { + "epoch": 0.98, + "learning_rate": 1.5004621746383952e-07, + "loss": 0.3991, + "step": 28078 + }, + { + "epoch": 0.98, + "learning_rate": 1.4944437721331473e-07, + "loss": 0.4027, + "step": 28079 + }, + { + "epoch": 0.98, + "learning_rate": 1.4884374548734814e-07, + "loss": 0.4483, + "step": 28080 + }, + { + "epoch": 0.98, + "learning_rate": 1.4824432229323393e-07, + "loss": 0.4148, + "step": 28081 + }, + { + "epoch": 0.98, + "learning_rate": 1.4764610763821073e-07, + "loss": 0.3957, + "step": 28082 + }, + { + "epoch": 0.98, + "learning_rate": 1.4704910152951723e-07, + "loss": 0.3905, + "step": 28083 + }, + { + "epoch": 0.98, + "learning_rate": 1.4645330397439206e-07, + "loss": 0.4614, + "step": 28084 + }, + { + "epoch": 0.98, + "learning_rate": 1.4585871498002946e-07, + "loss": 0.3574, + "step": 28085 + }, + { + "epoch": 0.98, + "learning_rate": 1.4526533455364587e-07, + "loss": 0.3672, + "step": 28086 + }, + { + "epoch": 0.98, + "learning_rate": 1.4467316270240228e-07, + "loss": 0.4519, + "step": 28087 + }, + { + "epoch": 0.98, + "learning_rate": 1.4408219943348178e-07, + "loss": 0.3777, + "step": 28088 + }, + { + "epoch": 0.98, + "learning_rate": 1.4349244475403423e-07, + "loss": 0.4033, + "step": 28089 + }, + { + "epoch": 0.98, + "learning_rate": 1.4290389867118726e-07, + "loss": 0.393, + "step": 28090 + }, + { + "epoch": 0.98, + "learning_rate": 1.4231656119207958e-07, + "loss": 0.4387, + "step": 28091 + }, + { + "epoch": 0.98, + "learning_rate": 1.4173043232380557e-07, + "loss": 0.3707, + "step": 28092 + }, + { + "epoch": 0.98, + "learning_rate": 1.411455120734706e-07, + "loss": 0.4334, + "step": 28093 + }, + { + "epoch": 0.98, + "learning_rate": 1.4056180044814682e-07, + "loss": 0.3626, + "step": 28094 + }, + { + "epoch": 0.98, + "learning_rate": 1.3997929745489524e-07, + "loss": 0.5072, + "step": 28095 + }, + { + "epoch": 0.98, + "learning_rate": 1.39398003100788e-07, + "loss": 0.3995, + "step": 28096 + }, + { + "epoch": 0.98, + "learning_rate": 1.3881791739283057e-07, + "loss": 0.4293, + "step": 28097 + }, + { + "epoch": 0.98, + "learning_rate": 1.382390403380618e-07, + "loss": 0.3348, + "step": 28098 + }, + { + "epoch": 0.98, + "learning_rate": 1.3766137194348716e-07, + "loss": 0.3869, + "step": 28099 + }, + { + "epoch": 0.98, + "learning_rate": 1.370849122161011e-07, + "loss": 0.4057, + "step": 28100 + }, + { + "epoch": 0.98, + "learning_rate": 1.365096611628758e-07, + "loss": 0.4662, + "step": 28101 + }, + { + "epoch": 0.98, + "learning_rate": 1.359356187907612e-07, + "loss": 0.3755, + "step": 28102 + }, + { + "epoch": 0.98, + "learning_rate": 1.3536278510672963e-07, + "loss": 0.3609, + "step": 28103 + }, + { + "epoch": 0.98, + "learning_rate": 1.3479116011769767e-07, + "loss": 0.3853, + "step": 28104 + }, + { + "epoch": 0.98, + "learning_rate": 1.3422074383059314e-07, + "loss": 0.4025, + "step": 28105 + }, + { + "epoch": 0.98, + "learning_rate": 1.3365153625231052e-07, + "loss": 0.4048, + "step": 28106 + }, + { + "epoch": 0.98, + "learning_rate": 1.3308353738973322e-07, + "loss": 0.3884, + "step": 28107 + }, + { + "epoch": 0.98, + "learning_rate": 1.3251674724975571e-07, + "loss": 0.4289, + "step": 28108 + }, + { + "epoch": 0.98, + "learning_rate": 1.3195116583923916e-07, + "loss": 0.4493, + "step": 28109 + }, + { + "epoch": 0.98, + "learning_rate": 1.3138679316500035e-07, + "loss": 0.4214, + "step": 28110 + }, + { + "epoch": 0.98, + "learning_rate": 1.3082362923390046e-07, + "loss": 0.3712, + "step": 28111 + }, + { + "epoch": 0.98, + "learning_rate": 1.3026167405274515e-07, + "loss": 0.4262, + "step": 28112 + }, + { + "epoch": 0.98, + "learning_rate": 1.2970092762832897e-07, + "loss": 0.3486, + "step": 28113 + }, + { + "epoch": 0.98, + "learning_rate": 1.291413899674465e-07, + "loss": 0.4299, + "step": 28114 + }, + { + "epoch": 0.98, + "learning_rate": 1.2858306107685902e-07, + "loss": 0.4356, + "step": 28115 + }, + { + "epoch": 0.98, + "learning_rate": 1.2802594096333886e-07, + "loss": 0.425, + "step": 28116 + }, + { + "epoch": 0.98, + "learning_rate": 1.2747002963362508e-07, + "loss": 0.3814, + "step": 28117 + }, + { + "epoch": 0.98, + "learning_rate": 1.2691532709444565e-07, + "loss": 0.4089, + "step": 28118 + }, + { + "epoch": 0.98, + "learning_rate": 1.263618333525063e-07, + "loss": 0.4214, + "step": 28119 + }, + { + "epoch": 0.98, + "learning_rate": 1.2580954841452386e-07, + "loss": 0.4251, + "step": 28120 + }, + { + "epoch": 0.98, + "learning_rate": 1.252584722871597e-07, + "loss": 0.4531, + "step": 28121 + }, + { + "epoch": 0.98, + "learning_rate": 1.2470860497709735e-07, + "loss": 0.4966, + "step": 28122 + }, + { + "epoch": 0.98, + "learning_rate": 1.2415994649099817e-07, + "loss": 0.3474, + "step": 28123 + }, + { + "epoch": 0.98, + "learning_rate": 1.2361249683549015e-07, + "loss": 0.4473, + "step": 28124 + }, + { + "epoch": 0.98, + "learning_rate": 1.2306625601720133e-07, + "loss": 0.3909, + "step": 28125 + }, + { + "epoch": 0.98, + "learning_rate": 1.2252122404274868e-07, + "loss": 0.4195, + "step": 28126 + }, + { + "epoch": 0.98, + "learning_rate": 1.219774009187269e-07, + "loss": 0.4758, + "step": 28127 + }, + { + "epoch": 0.98, + "learning_rate": 1.214347866517085e-07, + "loss": 0.4237, + "step": 28128 + }, + { + "epoch": 0.98, + "learning_rate": 1.2089338124827708e-07, + "loss": 0.4077, + "step": 28129 + }, + { + "epoch": 0.98, + "learning_rate": 1.2035318471497193e-07, + "loss": 0.4492, + "step": 28130 + }, + { + "epoch": 0.98, + "learning_rate": 1.198141970583433e-07, + "loss": 0.4045, + "step": 28131 + }, + { + "epoch": 0.98, + "learning_rate": 1.192764182849082e-07, + "loss": 0.4023, + "step": 28132 + }, + { + "epoch": 0.98, + "learning_rate": 1.1873984840117259e-07, + "loss": 0.4553, + "step": 28133 + }, + { + "epoch": 0.98, + "learning_rate": 1.1820448741363121e-07, + "loss": 0.5205, + "step": 28134 + }, + { + "epoch": 0.98, + "learning_rate": 1.1767033532876781e-07, + "loss": 0.4659, + "step": 28135 + }, + { + "epoch": 0.98, + "learning_rate": 1.1713739215305497e-07, + "loss": 0.4307, + "step": 28136 + }, + { + "epoch": 0.98, + "learning_rate": 1.1660565789293199e-07, + "loss": 0.4141, + "step": 28137 + }, + { + "epoch": 0.98, + "learning_rate": 1.1607513255482704e-07, + "loss": 0.3532, + "step": 28138 + }, + { + "epoch": 0.98, + "learning_rate": 1.1554581614517945e-07, + "loss": 0.3873, + "step": 28139 + }, + { + "epoch": 0.98, + "learning_rate": 1.1501770867038408e-07, + "loss": 0.4149, + "step": 28140 + }, + { + "epoch": 0.98, + "learning_rate": 1.1449081013683582e-07, + "loss": 0.3553, + "step": 28141 + }, + { + "epoch": 0.98, + "learning_rate": 1.1396512055090736e-07, + "loss": 0.4728, + "step": 28142 + }, + { + "epoch": 0.98, + "learning_rate": 1.1344063991897135e-07, + "loss": 0.4467, + "step": 28143 + }, + { + "epoch": 0.98, + "learning_rate": 1.129173682473783e-07, + "loss": 0.4394, + "step": 28144 + }, + { + "epoch": 0.98, + "learning_rate": 1.1239530554244537e-07, + "loss": 0.4773, + "step": 28145 + }, + { + "epoch": 0.98, + "learning_rate": 1.1187445181050082e-07, + "loss": 0.3236, + "step": 28146 + }, + { + "epoch": 0.98, + "learning_rate": 1.1135480705783963e-07, + "loss": 0.3786, + "step": 28147 + }, + { + "epoch": 0.98, + "learning_rate": 1.1083637129076785e-07, + "loss": 0.4161, + "step": 28148 + }, + { + "epoch": 0.99, + "learning_rate": 1.1031914451554715e-07, + "loss": 0.3935, + "step": 28149 + }, + { + "epoch": 0.99, + "learning_rate": 1.0980312673845027e-07, + "loss": 0.4294, + "step": 28150 + }, + { + "epoch": 0.99, + "learning_rate": 1.092883179657056e-07, + "loss": 0.4543, + "step": 28151 + }, + { + "epoch": 0.99, + "learning_rate": 1.0877471820356366e-07, + "loss": 0.4698, + "step": 28152 + }, + { + "epoch": 0.99, + "learning_rate": 1.0826232745821951e-07, + "loss": 0.5098, + "step": 28153 + }, + { + "epoch": 0.99, + "learning_rate": 1.077511457358904e-07, + "loss": 0.3842, + "step": 28154 + }, + { + "epoch": 0.99, + "learning_rate": 1.0724117304274916e-07, + "loss": 0.4439, + "step": 28155 + }, + { + "epoch": 0.99, + "learning_rate": 1.0673240938499085e-07, + "loss": 0.4171, + "step": 28156 + }, + { + "epoch": 0.99, + "learning_rate": 1.0622485476875499e-07, + "loss": 0.3952, + "step": 28157 + }, + { + "epoch": 0.99, + "learning_rate": 1.0571850920018111e-07, + "loss": 0.3637, + "step": 28158 + }, + { + "epoch": 0.99, + "learning_rate": 1.0521337268541986e-07, + "loss": 0.3351, + "step": 28159 + }, + { + "epoch": 0.99, + "learning_rate": 1.0470944523055526e-07, + "loss": 0.3674, + "step": 28160 + }, + { + "epoch": 0.99, + "learning_rate": 1.0420672684171572e-07, + "loss": 0.391, + "step": 28161 + }, + { + "epoch": 0.99, + "learning_rate": 1.0370521752496309e-07, + "loss": 0.3457, + "step": 28162 + }, + { + "epoch": 0.99, + "learning_rate": 1.0320491728638137e-07, + "loss": 0.4072, + "step": 28163 + }, + { + "epoch": 0.99, + "learning_rate": 1.0270582613202129e-07, + "loss": 0.3438, + "step": 28164 + }, + { + "epoch": 0.99, + "learning_rate": 1.0220794406792244e-07, + "loss": 0.3731, + "step": 28165 + }, + { + "epoch": 0.99, + "learning_rate": 1.0171127110011336e-07, + "loss": 0.4011, + "step": 28166 + }, + { + "epoch": 0.99, + "learning_rate": 1.0121580723460033e-07, + "loss": 0.3881, + "step": 28167 + }, + { + "epoch": 0.99, + "learning_rate": 1.0072155247738968e-07, + "loss": 0.3276, + "step": 28168 + }, + { + "epoch": 0.99, + "learning_rate": 1.002285068344544e-07, + "loss": 0.3959, + "step": 28169 + }, + { + "epoch": 0.99, + "learning_rate": 9.973667031176748e-08, + "loss": 0.4042, + "step": 28170 + }, + { + "epoch": 0.99, + "learning_rate": 9.924604291526862e-08, + "loss": 0.3839, + "step": 28171 + }, + { + "epoch": 0.99, + "learning_rate": 9.875662465091973e-08, + "loss": 0.4574, + "step": 28172 + }, + { + "epoch": 0.99, + "learning_rate": 9.826841552462718e-08, + "loss": 0.4008, + "step": 28173 + }, + { + "epoch": 0.99, + "learning_rate": 9.778141554229736e-08, + "loss": 0.394, + "step": 28174 + }, + { + "epoch": 0.99, + "learning_rate": 9.729562470983666e-08, + "loss": 0.3768, + "step": 28175 + }, + { + "epoch": 0.99, + "learning_rate": 9.681104303311817e-08, + "loss": 0.3802, + "step": 28176 + }, + { + "epoch": 0.99, + "learning_rate": 9.632767051801494e-08, + "loss": 0.452, + "step": 28177 + }, + { + "epoch": 0.99, + "learning_rate": 9.584550717036678e-08, + "loss": 0.3931, + "step": 28178 + }, + { + "epoch": 0.99, + "learning_rate": 9.536455299601344e-08, + "loss": 0.4217, + "step": 28179 + }, + { + "epoch": 0.99, + "learning_rate": 9.488480800077249e-08, + "loss": 0.5675, + "step": 28180 + }, + { + "epoch": 0.99, + "learning_rate": 9.44062721904615e-08, + "loss": 0.4111, + "step": 28181 + }, + { + "epoch": 0.99, + "learning_rate": 9.392894557085364e-08, + "loss": 0.3301, + "step": 28182 + }, + { + "epoch": 0.99, + "learning_rate": 9.345282814774426e-08, + "loss": 0.3737, + "step": 28183 + }, + { + "epoch": 0.99, + "learning_rate": 9.297791992689542e-08, + "loss": 0.5173, + "step": 28184 + }, + { + "epoch": 0.99, + "learning_rate": 9.250422091403588e-08, + "loss": 0.3891, + "step": 28185 + }, + { + "epoch": 0.99, + "learning_rate": 9.203173111492768e-08, + "loss": 0.4124, + "step": 28186 + }, + { + "epoch": 0.99, + "learning_rate": 9.156045053525519e-08, + "loss": 0.3543, + "step": 28187 + }, + { + "epoch": 0.99, + "learning_rate": 9.109037918075825e-08, + "loss": 0.3511, + "step": 28188 + }, + { + "epoch": 0.99, + "learning_rate": 9.062151705709898e-08, + "loss": 0.4026, + "step": 28189 + }, + { + "epoch": 0.99, + "learning_rate": 9.015386416996174e-08, + "loss": 0.4244, + "step": 28190 + }, + { + "epoch": 0.99, + "learning_rate": 8.968742052500867e-08, + "loss": 0.3221, + "step": 28191 + }, + { + "epoch": 0.99, + "learning_rate": 8.92221861278908e-08, + "loss": 0.3527, + "step": 28192 + }, + { + "epoch": 0.99, + "learning_rate": 8.875816098422585e-08, + "loss": 0.3614, + "step": 28193 + }, + { + "epoch": 0.99, + "learning_rate": 8.829534509963155e-08, + "loss": 0.4543, + "step": 28194 + }, + { + "epoch": 0.99, + "learning_rate": 8.783373847972565e-08, + "loss": 0.3263, + "step": 28195 + }, + { + "epoch": 0.99, + "learning_rate": 8.737334113007034e-08, + "loss": 0.3406, + "step": 28196 + }, + { + "epoch": 0.99, + "learning_rate": 8.691415305626116e-08, + "loss": 0.4705, + "step": 28197 + }, + { + "epoch": 0.99, + "learning_rate": 8.645617426384923e-08, + "loss": 0.3684, + "step": 28198 + }, + { + "epoch": 0.99, + "learning_rate": 8.599940475836343e-08, + "loss": 0.4627, + "step": 28199 + }, + { + "epoch": 0.99, + "learning_rate": 8.554384454535492e-08, + "loss": 0.3666, + "step": 28200 + }, + { + "epoch": 0.99, + "eval_loss": 0.3963852822780609, + "eval_runtime": 853.5974, + "eval_samples_per_second": 28.187, + "eval_steps_per_second": 14.093, + "step": 28200 + }, + { + "epoch": 0.99, + "learning_rate": 8.508949363031927e-08, + "loss": 0.3751, + "step": 28201 + }, + { + "epoch": 0.99, + "learning_rate": 8.463635201876319e-08, + "loss": 0.3674, + "step": 28202 + }, + { + "epoch": 0.99, + "learning_rate": 8.418441971616009e-08, + "loss": 0.4495, + "step": 28203 + }, + { + "epoch": 0.99, + "learning_rate": 8.373369672800557e-08, + "loss": 0.3992, + "step": 28204 + }, + { + "epoch": 0.99, + "learning_rate": 8.328418305972863e-08, + "loss": 0.4202, + "step": 28205 + }, + { + "epoch": 0.99, + "learning_rate": 8.283587871678045e-08, + "loss": 0.3994, + "step": 28206 + }, + { + "epoch": 0.99, + "learning_rate": 8.238878370459003e-08, + "loss": 0.3817, + "step": 28207 + }, + { + "epoch": 0.99, + "learning_rate": 8.194289802857525e-08, + "loss": 0.3644, + "step": 28208 + }, + { + "epoch": 0.99, + "learning_rate": 8.149822169410959e-08, + "loss": 0.4196, + "step": 28209 + }, + { + "epoch": 0.99, + "learning_rate": 8.105475470659985e-08, + "loss": 0.4413, + "step": 28210 + }, + { + "epoch": 0.99, + "learning_rate": 8.061249707138619e-08, + "loss": 0.4265, + "step": 28211 + }, + { + "epoch": 0.99, + "learning_rate": 8.017144879385318e-08, + "loss": 0.366, + "step": 28212 + }, + { + "epoch": 0.99, + "learning_rate": 7.973160987931883e-08, + "loss": 0.3932, + "step": 28213 + }, + { + "epoch": 0.99, + "learning_rate": 7.929298033311217e-08, + "loss": 0.4293, + "step": 28214 + }, + { + "epoch": 0.99, + "learning_rate": 7.885556016054008e-08, + "loss": 0.3134, + "step": 28215 + }, + { + "epoch": 0.99, + "learning_rate": 7.841934936688722e-08, + "loss": 0.4031, + "step": 28216 + }, + { + "epoch": 0.99, + "learning_rate": 7.798434795746045e-08, + "loss": 0.4231, + "step": 28217 + }, + { + "epoch": 0.99, + "learning_rate": 7.755055593750004e-08, + "loss": 0.4302, + "step": 28218 + }, + { + "epoch": 0.99, + "learning_rate": 7.711797331226845e-08, + "loss": 0.4061, + "step": 28219 + }, + { + "epoch": 0.99, + "learning_rate": 7.66866000869837e-08, + "loss": 0.3764, + "step": 28220 + }, + { + "epoch": 0.99, + "learning_rate": 7.625643626689715e-08, + "loss": 0.3994, + "step": 28221 + }, + { + "epoch": 0.99, + "learning_rate": 7.582748185719358e-08, + "loss": 0.4586, + "step": 28222 + }, + { + "epoch": 0.99, + "learning_rate": 7.539973686306879e-08, + "loss": 0.3776, + "step": 28223 + }, + { + "epoch": 0.99, + "learning_rate": 7.497320128969643e-08, + "loss": 0.3742, + "step": 28224 + }, + { + "epoch": 0.99, + "learning_rate": 7.454787514225014e-08, + "loss": 0.4354, + "step": 28225 + }, + { + "epoch": 0.99, + "learning_rate": 7.412375842587028e-08, + "loss": 0.4491, + "step": 28226 + }, + { + "epoch": 0.99, + "learning_rate": 7.370085114568604e-08, + "loss": 0.3789, + "step": 28227 + }, + { + "epoch": 0.99, + "learning_rate": 7.327915330682666e-08, + "loss": 0.4292, + "step": 28228 + }, + { + "epoch": 0.99, + "learning_rate": 7.285866491438808e-08, + "loss": 0.3767, + "step": 28229 + }, + { + "epoch": 0.99, + "learning_rate": 7.243938597345511e-08, + "loss": 0.3816, + "step": 28230 + }, + { + "epoch": 0.99, + "learning_rate": 7.202131648911259e-08, + "loss": 0.4573, + "step": 28231 + }, + { + "epoch": 0.99, + "learning_rate": 7.160445646642311e-08, + "loss": 0.3181, + "step": 28232 + }, + { + "epoch": 0.99, + "learning_rate": 7.118880591042709e-08, + "loss": 0.4566, + "step": 28233 + }, + { + "epoch": 0.99, + "learning_rate": 7.077436482614275e-08, + "loss": 0.38, + "step": 28234 + }, + { + "epoch": 0.99, + "learning_rate": 7.036113321861049e-08, + "loss": 0.4336, + "step": 28235 + }, + { + "epoch": 0.99, + "learning_rate": 6.994911109281522e-08, + "loss": 0.416, + "step": 28236 + }, + { + "epoch": 0.99, + "learning_rate": 6.953829845374182e-08, + "loss": 0.4138, + "step": 28237 + }, + { + "epoch": 0.99, + "learning_rate": 6.912869530636412e-08, + "loss": 0.3981, + "step": 28238 + }, + { + "epoch": 0.99, + "learning_rate": 6.87203016556559e-08, + "loss": 0.435, + "step": 28239 + }, + { + "epoch": 0.99, + "learning_rate": 6.831311750654656e-08, + "loss": 0.4097, + "step": 28240 + }, + { + "epoch": 0.99, + "learning_rate": 6.790714286396549e-08, + "loss": 0.515, + "step": 28241 + }, + { + "epoch": 0.99, + "learning_rate": 6.750237773281987e-08, + "loss": 0.3825, + "step": 28242 + }, + { + "epoch": 0.99, + "learning_rate": 6.709882211801688e-08, + "loss": 0.426, + "step": 28243 + }, + { + "epoch": 0.99, + "learning_rate": 6.669647602444152e-08, + "loss": 0.4073, + "step": 28244 + }, + { + "epoch": 0.99, + "learning_rate": 6.629533945696764e-08, + "loss": 0.3453, + "step": 28245 + }, + { + "epoch": 0.99, + "learning_rate": 6.589541242043585e-08, + "loss": 0.4561, + "step": 28246 + }, + { + "epoch": 0.99, + "learning_rate": 6.549669491969778e-08, + "loss": 0.3242, + "step": 28247 + }, + { + "epoch": 0.99, + "learning_rate": 6.509918695957184e-08, + "loss": 0.3994, + "step": 28248 + }, + { + "epoch": 0.99, + "learning_rate": 6.470288854487639e-08, + "loss": 0.4276, + "step": 28249 + }, + { + "epoch": 0.99, + "learning_rate": 6.430779968040757e-08, + "loss": 0.4447, + "step": 28250 + }, + { + "epoch": 0.99, + "learning_rate": 6.391392037095046e-08, + "loss": 0.3694, + "step": 28251 + }, + { + "epoch": 0.99, + "learning_rate": 6.35212506212568e-08, + "loss": 0.3859, + "step": 28252 + }, + { + "epoch": 0.99, + "learning_rate": 6.312979043608946e-08, + "loss": 0.4539, + "step": 28253 + }, + { + "epoch": 0.99, + "learning_rate": 6.27395398201891e-08, + "loss": 0.4585, + "step": 28254 + }, + { + "epoch": 0.99, + "learning_rate": 6.235049877828524e-08, + "loss": 0.3843, + "step": 28255 + }, + { + "epoch": 0.99, + "learning_rate": 6.196266731506306e-08, + "loss": 0.4464, + "step": 28256 + }, + { + "epoch": 0.99, + "learning_rate": 6.157604543524098e-08, + "loss": 0.4617, + "step": 28257 + }, + { + "epoch": 0.99, + "learning_rate": 6.119063314348194e-08, + "loss": 0.3693, + "step": 28258 + }, + { + "epoch": 0.99, + "learning_rate": 6.080643044445999e-08, + "loss": 0.4042, + "step": 28259 + }, + { + "epoch": 0.99, + "learning_rate": 6.042343734282696e-08, + "loss": 0.4933, + "step": 28260 + }, + { + "epoch": 0.99, + "learning_rate": 6.004165384320137e-08, + "loss": 0.4029, + "step": 28261 + }, + { + "epoch": 0.99, + "learning_rate": 5.966107995022397e-08, + "loss": 0.4033, + "step": 28262 + }, + { + "epoch": 0.99, + "learning_rate": 5.928171566850216e-08, + "loss": 0.4706, + "step": 28263 + }, + { + "epoch": 0.99, + "learning_rate": 5.890356100261008e-08, + "loss": 0.3619, + "step": 28264 + }, + { + "epoch": 0.99, + "learning_rate": 5.8526615957132935e-08, + "loss": 0.4432, + "step": 28265 + }, + { + "epoch": 0.99, + "learning_rate": 5.815088053663376e-08, + "loss": 0.3843, + "step": 28266 + }, + { + "epoch": 0.99, + "learning_rate": 5.777635474566445e-08, + "loss": 0.3753, + "step": 28267 + }, + { + "epoch": 0.99, + "learning_rate": 5.740303858874363e-08, + "loss": 0.3796, + "step": 28268 + }, + { + "epoch": 0.99, + "learning_rate": 5.70309320704121e-08, + "loss": 0.3218, + "step": 28269 + }, + { + "epoch": 0.99, + "learning_rate": 5.666003519515517e-08, + "loss": 0.38, + "step": 28270 + }, + { + "epoch": 0.99, + "learning_rate": 5.629034796746924e-08, + "loss": 0.4195, + "step": 28271 + }, + { + "epoch": 0.99, + "learning_rate": 5.59218703918285e-08, + "loss": 0.4135, + "step": 28272 + }, + { + "epoch": 0.99, + "learning_rate": 5.555460247268496e-08, + "loss": 0.3968, + "step": 28273 + }, + { + "epoch": 0.99, + "learning_rate": 5.51885442145017e-08, + "loss": 0.4541, + "step": 28274 + }, + { + "epoch": 0.99, + "learning_rate": 5.4823695621686324e-08, + "loss": 0.3961, + "step": 28275 + }, + { + "epoch": 0.99, + "learning_rate": 5.4460056698668606e-08, + "loss": 0.4224, + "step": 28276 + }, + { + "epoch": 0.99, + "learning_rate": 5.409762744985614e-08, + "loss": 0.3695, + "step": 28277 + }, + { + "epoch": 0.99, + "learning_rate": 5.3736407879623195e-08, + "loss": 0.4468, + "step": 28278 + }, + { + "epoch": 0.99, + "learning_rate": 5.337639799234406e-08, + "loss": 0.3639, + "step": 28279 + }, + { + "epoch": 0.99, + "learning_rate": 5.301759779238191e-08, + "loss": 0.4209, + "step": 28280 + }, + { + "epoch": 0.99, + "learning_rate": 5.2660007284066616e-08, + "loss": 0.4154, + "step": 28281 + }, + { + "epoch": 0.99, + "learning_rate": 5.230362647173914e-08, + "loss": 0.3888, + "step": 28282 + }, + { + "epoch": 0.99, + "learning_rate": 5.194845535970716e-08, + "loss": 0.3784, + "step": 28283 + }, + { + "epoch": 0.99, + "learning_rate": 5.159449395226723e-08, + "loss": 0.3836, + "step": 28284 + }, + { + "epoch": 0.99, + "learning_rate": 5.124174225371592e-08, + "loss": 0.4729, + "step": 28285 + }, + { + "epoch": 0.99, + "learning_rate": 5.089020026831648e-08, + "loss": 0.3216, + "step": 28286 + }, + { + "epoch": 0.99, + "learning_rate": 5.0539868000309967e-08, + "loss": 0.4208, + "step": 28287 + }, + { + "epoch": 0.99, + "learning_rate": 5.019074545394853e-08, + "loss": 0.3968, + "step": 28288 + }, + { + "epoch": 0.99, + "learning_rate": 4.9842832633462124e-08, + "loss": 0.3903, + "step": 28289 + }, + { + "epoch": 0.99, + "learning_rate": 4.949612954305849e-08, + "loss": 0.4056, + "step": 28290 + }, + { + "epoch": 0.99, + "learning_rate": 4.915063618692317e-08, + "loss": 0.4138, + "step": 28291 + }, + { + "epoch": 0.99, + "learning_rate": 4.8806352569252814e-08, + "loss": 0.4236, + "step": 28292 + }, + { + "epoch": 0.99, + "learning_rate": 4.846327869419964e-08, + "loss": 0.4287, + "step": 28293 + }, + { + "epoch": 0.99, + "learning_rate": 4.8121414565927e-08, + "loss": 0.393, + "step": 28294 + }, + { + "epoch": 0.99, + "learning_rate": 4.778076018857602e-08, + "loss": 0.4337, + "step": 28295 + }, + { + "epoch": 0.99, + "learning_rate": 4.744131556626563e-08, + "loss": 0.4229, + "step": 28296 + }, + { + "epoch": 0.99, + "learning_rate": 4.710308070309255e-08, + "loss": 0.3755, + "step": 28297 + }, + { + "epoch": 0.99, + "learning_rate": 4.67660556031646e-08, + "loss": 0.3722, + "step": 28298 + }, + { + "epoch": 0.99, + "learning_rate": 4.6430240270556316e-08, + "loss": 0.4214, + "step": 28299 + }, + { + "epoch": 0.99, + "learning_rate": 4.609563470933109e-08, + "loss": 0.3915, + "step": 28300 + }, + { + "epoch": 0.99, + "learning_rate": 4.576223892354126e-08, + "loss": 0.3504, + "step": 28301 + }, + { + "epoch": 0.99, + "learning_rate": 4.543005291722802e-08, + "loss": 0.364, + "step": 28302 + }, + { + "epoch": 0.99, + "learning_rate": 4.509907669438818e-08, + "loss": 0.4164, + "step": 28303 + }, + { + "epoch": 0.99, + "learning_rate": 4.4769310259062944e-08, + "loss": 0.4321, + "step": 28304 + }, + { + "epoch": 0.99, + "learning_rate": 4.4440753615215823e-08, + "loss": 0.4672, + "step": 28305 + }, + { + "epoch": 0.99, + "learning_rate": 4.411340676683251e-08, + "loss": 0.3726, + "step": 28306 + }, + { + "epoch": 0.99, + "learning_rate": 4.3787269717865396e-08, + "loss": 0.4286, + "step": 28307 + }, + { + "epoch": 0.99, + "learning_rate": 4.3462342472289086e-08, + "loss": 0.3862, + "step": 28308 + }, + { + "epoch": 0.99, + "learning_rate": 4.3138625034000455e-08, + "loss": 0.375, + "step": 28309 + }, + { + "epoch": 0.99, + "learning_rate": 4.28161174069519e-08, + "loss": 0.3476, + "step": 28310 + }, + { + "epoch": 0.99, + "learning_rate": 4.249481959501811e-08, + "loss": 0.3745, + "step": 28311 + }, + { + "epoch": 0.99, + "learning_rate": 4.217473160210705e-08, + "loss": 0.4293, + "step": 28312 + }, + { + "epoch": 0.99, + "learning_rate": 4.1855853432082316e-08, + "loss": 0.3765, + "step": 28313 + }, + { + "epoch": 0.99, + "learning_rate": 4.153818508881857e-08, + "loss": 0.4986, + "step": 28314 + }, + { + "epoch": 0.99, + "learning_rate": 4.122172657613499e-08, + "loss": 0.3511, + "step": 28315 + }, + { + "epoch": 0.99, + "learning_rate": 4.0906477897884046e-08, + "loss": 0.37, + "step": 28316 + }, + { + "epoch": 0.99, + "learning_rate": 4.05924390578738e-08, + "loss": 0.3875, + "step": 28317 + }, + { + "epoch": 0.99, + "learning_rate": 4.027961005990122e-08, + "loss": 0.3756, + "step": 28318 + }, + { + "epoch": 0.99, + "learning_rate": 3.996799090775216e-08, + "loss": 0.3682, + "step": 28319 + }, + { + "epoch": 0.99, + "learning_rate": 3.965758160521249e-08, + "loss": 0.3972, + "step": 28320 + }, + { + "epoch": 0.99, + "learning_rate": 3.934838215602365e-08, + "loss": 0.3814, + "step": 28321 + }, + { + "epoch": 0.99, + "learning_rate": 3.904039256392711e-08, + "loss": 0.3795, + "step": 28322 + }, + { + "epoch": 0.99, + "learning_rate": 3.87336128326643e-08, + "loss": 0.437, + "step": 28323 + }, + { + "epoch": 0.99, + "learning_rate": 3.842804296594338e-08, + "loss": 0.502, + "step": 28324 + }, + { + "epoch": 0.99, + "learning_rate": 3.8123682967450283e-08, + "loss": 0.3586, + "step": 28325 + }, + { + "epoch": 0.99, + "learning_rate": 3.7820532840882053e-08, + "loss": 0.3273, + "step": 28326 + }, + { + "epoch": 0.99, + "learning_rate": 3.7518592589913524e-08, + "loss": 0.444, + "step": 28327 + }, + { + "epoch": 0.99, + "learning_rate": 3.721786221817514e-08, + "loss": 0.3738, + "step": 28328 + }, + { + "epoch": 0.99, + "learning_rate": 3.691834172933062e-08, + "loss": 0.3032, + "step": 28329 + }, + { + "epoch": 0.99, + "learning_rate": 3.66200311269993e-08, + "loss": 0.409, + "step": 28330 + }, + { + "epoch": 0.99, + "learning_rate": 3.63229304147783e-08, + "loss": 0.345, + "step": 28331 + }, + { + "epoch": 0.99, + "learning_rate": 3.6027039596286947e-08, + "loss": 0.4915, + "step": 28332 + }, + { + "epoch": 0.99, + "learning_rate": 3.573235867507796e-08, + "loss": 0.3859, + "step": 28333 + }, + { + "epoch": 0.99, + "learning_rate": 3.5438887654737355e-08, + "loss": 0.3774, + "step": 28334 + }, + { + "epoch": 0.99, + "learning_rate": 3.514662653881784e-08, + "loss": 0.4609, + "step": 28335 + }, + { + "epoch": 0.99, + "learning_rate": 3.485557533084993e-08, + "loss": 0.4291, + "step": 28336 + }, + { + "epoch": 0.99, + "learning_rate": 3.456573403436414e-08, + "loss": 0.3929, + "step": 28337 + }, + { + "epoch": 0.99, + "learning_rate": 3.427710265285766e-08, + "loss": 0.4324, + "step": 28338 + }, + { + "epoch": 0.99, + "learning_rate": 3.39896811898277e-08, + "loss": 0.3773, + "step": 28339 + }, + { + "epoch": 0.99, + "learning_rate": 3.370346964876036e-08, + "loss": 0.4477, + "step": 28340 + }, + { + "epoch": 0.99, + "learning_rate": 3.341846803310844e-08, + "loss": 0.3478, + "step": 28341 + }, + { + "epoch": 0.99, + "learning_rate": 3.313467634632472e-08, + "loss": 0.384, + "step": 28342 + }, + { + "epoch": 0.99, + "learning_rate": 3.2852094591850903e-08, + "loss": 0.4951, + "step": 28343 + }, + { + "epoch": 0.99, + "learning_rate": 3.257072277309536e-08, + "loss": 0.3715, + "step": 28344 + }, + { + "epoch": 0.99, + "learning_rate": 3.2290560893477597e-08, + "loss": 0.3701, + "step": 28345 + }, + { + "epoch": 0.99, + "learning_rate": 3.2011608956372675e-08, + "loss": 0.4146, + "step": 28346 + }, + { + "epoch": 0.99, + "learning_rate": 3.1733866965177885e-08, + "loss": 0.337, + "step": 28347 + }, + { + "epoch": 0.99, + "learning_rate": 3.145733492323499e-08, + "loss": 0.4093, + "step": 28348 + }, + { + "epoch": 0.99, + "learning_rate": 3.118201283389688e-08, + "loss": 0.419, + "step": 28349 + }, + { + "epoch": 0.99, + "learning_rate": 3.0907900700494205e-08, + "loss": 0.3696, + "step": 28350 + }, + { + "epoch": 0.99, + "learning_rate": 3.063499852635765e-08, + "loss": 0.4213, + "step": 28351 + }, + { + "epoch": 0.99, + "learning_rate": 3.036330631477347e-08, + "loss": 0.5459, + "step": 28352 + }, + { + "epoch": 0.99, + "learning_rate": 3.009282406905012e-08, + "loss": 0.4621, + "step": 28353 + }, + { + "epoch": 0.99, + "learning_rate": 2.982355179242946e-08, + "loss": 0.3806, + "step": 28354 + }, + { + "epoch": 0.99, + "learning_rate": 2.9555489488197752e-08, + "loss": 0.3716, + "step": 28355 + }, + { + "epoch": 0.99, + "learning_rate": 2.9288637159596845e-08, + "loss": 0.368, + "step": 28356 + }, + { + "epoch": 0.99, + "learning_rate": 2.9022994809846384e-08, + "loss": 0.3598, + "step": 28357 + }, + { + "epoch": 0.99, + "learning_rate": 2.8758562442166014e-08, + "loss": 0.4418, + "step": 28358 + }, + { + "epoch": 0.99, + "learning_rate": 2.8495340059753185e-08, + "loss": 0.3642, + "step": 28359 + }, + { + "epoch": 0.99, + "learning_rate": 2.8233327665794228e-08, + "loss": 0.4369, + "step": 28360 + }, + { + "epoch": 0.99, + "learning_rate": 2.797252526347549e-08, + "loss": 0.4854, + "step": 28361 + }, + { + "epoch": 0.99, + "learning_rate": 2.77129328559278e-08, + "loss": 0.3878, + "step": 28362 + }, + { + "epoch": 0.99, + "learning_rate": 2.7454550446315287e-08, + "loss": 0.4999, + "step": 28363 + }, + { + "epoch": 0.99, + "learning_rate": 2.719737803774658e-08, + "loss": 0.4155, + "step": 28364 + }, + { + "epoch": 0.99, + "learning_rate": 2.6941415633352508e-08, + "loss": 0.3379, + "step": 28365 + }, + { + "epoch": 0.99, + "learning_rate": 2.668666323621949e-08, + "loss": 0.4005, + "step": 28366 + }, + { + "epoch": 0.99, + "learning_rate": 2.6433120849433946e-08, + "loss": 0.4201, + "step": 28367 + }, + { + "epoch": 0.99, + "learning_rate": 2.6180788476071195e-08, + "loss": 0.4279, + "step": 28368 + }, + { + "epoch": 0.99, + "learning_rate": 2.5929666119162144e-08, + "loss": 0.4106, + "step": 28369 + }, + { + "epoch": 0.99, + "learning_rate": 2.567975378178211e-08, + "loss": 0.3721, + "step": 28370 + }, + { + "epoch": 0.99, + "learning_rate": 2.54310514669176e-08, + "loss": 0.4738, + "step": 28371 + }, + { + "epoch": 0.99, + "learning_rate": 2.5183559177610617e-08, + "loss": 0.3846, + "step": 28372 + }, + { + "epoch": 0.99, + "learning_rate": 2.493727691683656e-08, + "loss": 0.4492, + "step": 28373 + }, + { + "epoch": 0.99, + "learning_rate": 2.4692204687593033e-08, + "loss": 0.3831, + "step": 28374 + }, + { + "epoch": 0.99, + "learning_rate": 2.444834249283323e-08, + "loss": 0.3838, + "step": 28375 + }, + { + "epoch": 0.99, + "learning_rate": 2.4205690335499244e-08, + "loss": 0.4909, + "step": 28376 + }, + { + "epoch": 0.99, + "learning_rate": 2.3964248218555364e-08, + "loss": 0.4283, + "step": 28377 + }, + { + "epoch": 0.99, + "learning_rate": 2.3724016144910376e-08, + "loss": 0.4045, + "step": 28378 + }, + { + "epoch": 0.99, + "learning_rate": 2.3484994117461966e-08, + "loss": 0.3175, + "step": 28379 + }, + { + "epoch": 0.99, + "learning_rate": 2.3247182139107815e-08, + "loss": 0.4345, + "step": 28380 + }, + { + "epoch": 0.99, + "learning_rate": 2.30105802127456e-08, + "loss": 0.356, + "step": 28381 + }, + { + "epoch": 0.99, + "learning_rate": 2.27751883412064e-08, + "loss": 0.3689, + "step": 28382 + }, + { + "epoch": 0.99, + "learning_rate": 2.2541006527365683e-08, + "loss": 0.3665, + "step": 28383 + }, + { + "epoch": 0.99, + "learning_rate": 2.230803477405452e-08, + "loss": 0.3874, + "step": 28384 + }, + { + "epoch": 0.99, + "learning_rate": 2.2076273084070677e-08, + "loss": 0.4043, + "step": 28385 + }, + { + "epoch": 0.99, + "learning_rate": 2.1845721460245218e-08, + "loss": 0.4233, + "step": 28386 + }, + { + "epoch": 0.99, + "learning_rate": 2.1616379905364802e-08, + "loss": 0.3653, + "step": 28387 + }, + { + "epoch": 0.99, + "learning_rate": 2.138824842219389e-08, + "loss": 0.4363, + "step": 28388 + }, + { + "epoch": 0.99, + "learning_rate": 2.1161327013496936e-08, + "loss": 0.4178, + "step": 28389 + }, + { + "epoch": 0.99, + "learning_rate": 2.0935615682016185e-08, + "loss": 0.4369, + "step": 28390 + }, + { + "epoch": 0.99, + "learning_rate": 2.0711114430504998e-08, + "loss": 0.4232, + "step": 28391 + }, + { + "epoch": 0.99, + "learning_rate": 2.0487823261650106e-08, + "loss": 0.365, + "step": 28392 + }, + { + "epoch": 0.99, + "learning_rate": 2.0265742178182666e-08, + "loss": 0.395, + "step": 28393 + }, + { + "epoch": 0.99, + "learning_rate": 2.004487118276721e-08, + "loss": 0.3835, + "step": 28394 + }, + { + "epoch": 0.99, + "learning_rate": 1.9825210278090477e-08, + "loss": 0.489, + "step": 28395 + }, + { + "epoch": 0.99, + "learning_rate": 1.9606759466805903e-08, + "loss": 0.4689, + "step": 28396 + }, + { + "epoch": 0.99, + "learning_rate": 1.9389518751566917e-08, + "loss": 0.3643, + "step": 28397 + }, + { + "epoch": 0.99, + "learning_rate": 1.917348813498254e-08, + "loss": 0.3753, + "step": 28398 + }, + { + "epoch": 0.99, + "learning_rate": 1.895866761968401e-08, + "loss": 0.501, + "step": 28399 + }, + { + "epoch": 0.99, + "learning_rate": 1.8745057208269247e-08, + "loss": 0.3973, + "step": 28400 + }, + { + "epoch": 0.99, + "eval_loss": 0.3963080644607544, + "eval_runtime": 851.0338, + "eval_samples_per_second": 28.271, + "eval_steps_per_second": 14.136, + "step": 28400 + }, + { + "epoch": 0.99, + "learning_rate": 1.8532656903325064e-08, + "loss": 0.3962, + "step": 28401 + }, + { + "epoch": 0.99, + "learning_rate": 1.832146670741608e-08, + "loss": 0.4174, + "step": 28402 + }, + { + "epoch": 0.99, + "learning_rate": 1.811148662310691e-08, + "loss": 0.4523, + "step": 28403 + }, + { + "epoch": 0.99, + "learning_rate": 1.7902716652928863e-08, + "loss": 0.3672, + "step": 28404 + }, + { + "epoch": 0.99, + "learning_rate": 1.7695156799402145e-08, + "loss": 0.4229, + "step": 28405 + }, + { + "epoch": 0.99, + "learning_rate": 1.7488807065069167e-08, + "loss": 0.3762, + "step": 28406 + }, + { + "epoch": 0.99, + "learning_rate": 1.7283667452394624e-08, + "loss": 0.4722, + "step": 28407 + }, + { + "epoch": 0.99, + "learning_rate": 1.707973796387652e-08, + "loss": 0.456, + "step": 28408 + }, + { + "epoch": 0.99, + "learning_rate": 1.6877018601990645e-08, + "loss": 0.3896, + "step": 28409 + }, + { + "epoch": 0.99, + "learning_rate": 1.6675509369179498e-08, + "loss": 0.4397, + "step": 28410 + }, + { + "epoch": 0.99, + "learning_rate": 1.6475210267874465e-08, + "loss": 0.3749, + "step": 28411 + }, + { + "epoch": 0.99, + "learning_rate": 1.6276121300518034e-08, + "loss": 0.4978, + "step": 28412 + }, + { + "epoch": 0.99, + "learning_rate": 1.6078242469508286e-08, + "loss": 0.3893, + "step": 28413 + }, + { + "epoch": 0.99, + "learning_rate": 1.5881573777243308e-08, + "loss": 0.4245, + "step": 28414 + }, + { + "epoch": 0.99, + "learning_rate": 1.5686115226098974e-08, + "loss": 0.3968, + "step": 28415 + }, + { + "epoch": 0.99, + "learning_rate": 1.549186681845116e-08, + "loss": 0.4995, + "step": 28416 + }, + { + "epoch": 0.99, + "learning_rate": 1.5298828556642443e-08, + "loss": 0.3712, + "step": 28417 + }, + { + "epoch": 0.99, + "learning_rate": 1.5107000443015385e-08, + "loss": 0.3942, + "step": 28418 + }, + { + "epoch": 0.99, + "learning_rate": 1.4916382479890356e-08, + "loss": 0.4036, + "step": 28419 + }, + { + "epoch": 0.99, + "learning_rate": 1.472697466956552e-08, + "loss": 0.4552, + "step": 28420 + }, + { + "epoch": 0.99, + "learning_rate": 1.4538777014339034e-08, + "loss": 0.3783, + "step": 28421 + }, + { + "epoch": 0.99, + "learning_rate": 1.435178951649796e-08, + "loss": 0.4252, + "step": 28422 + }, + { + "epoch": 0.99, + "learning_rate": 1.4166012178296051e-08, + "loss": 0.3485, + "step": 28423 + }, + { + "epoch": 0.99, + "learning_rate": 1.3981445001975957e-08, + "loss": 0.3971, + "step": 28424 + }, + { + "epoch": 0.99, + "learning_rate": 1.3798087989780328e-08, + "loss": 0.4368, + "step": 28425 + }, + { + "epoch": 0.99, + "learning_rate": 1.3615941143929612e-08, + "loss": 0.3439, + "step": 28426 + }, + { + "epoch": 0.99, + "learning_rate": 1.343500446663315e-08, + "loss": 0.3992, + "step": 28427 + }, + { + "epoch": 0.99, + "learning_rate": 1.325527796006698e-08, + "loss": 0.3813, + "step": 28428 + }, + { + "epoch": 0.99, + "learning_rate": 1.3076761626407141e-08, + "loss": 0.4092, + "step": 28429 + }, + { + "epoch": 0.99, + "learning_rate": 1.2899455467829669e-08, + "loss": 0.4047, + "step": 28430 + }, + { + "epoch": 0.99, + "learning_rate": 1.2723359486455089e-08, + "loss": 0.3474, + "step": 28431 + }, + { + "epoch": 0.99, + "learning_rate": 1.2548473684448336e-08, + "loss": 0.3588, + "step": 28432 + }, + { + "epoch": 0.99, + "learning_rate": 1.237479806389663e-08, + "loss": 0.3605, + "step": 28433 + }, + { + "epoch": 1.0, + "learning_rate": 1.2202332626920498e-08, + "loss": 0.4038, + "step": 28434 + }, + { + "epoch": 1.0, + "learning_rate": 1.2031077375596056e-08, + "loss": 0.4576, + "step": 28435 + }, + { + "epoch": 1.0, + "learning_rate": 1.1861032311999421e-08, + "loss": 0.4275, + "step": 28436 + }, + { + "epoch": 1.0, + "learning_rate": 1.1692197438195607e-08, + "loss": 0.356, + "step": 28437 + }, + { + "epoch": 1.0, + "learning_rate": 1.1524572756216323e-08, + "loss": 0.3988, + "step": 28438 + }, + { + "epoch": 1.0, + "learning_rate": 1.135815826810438e-08, + "loss": 0.3701, + "step": 28439 + }, + { + "epoch": 1.0, + "learning_rate": 1.1192953975858178e-08, + "loss": 0.3737, + "step": 28440 + }, + { + "epoch": 1.0, + "learning_rate": 1.1028959881487223e-08, + "loss": 0.3892, + "step": 28441 + }, + { + "epoch": 1.0, + "learning_rate": 1.086617598697881e-08, + "loss": 0.3456, + "step": 28442 + }, + { + "epoch": 1.0, + "learning_rate": 1.0704602294286936e-08, + "loss": 0.356, + "step": 28443 + }, + { + "epoch": 1.0, + "learning_rate": 1.0544238805387796e-08, + "loss": 0.4202, + "step": 28444 + }, + { + "epoch": 1.0, + "learning_rate": 1.0385085522213178e-08, + "loss": 0.5276, + "step": 28445 + }, + { + "epoch": 1.0, + "learning_rate": 1.0227142446683768e-08, + "loss": 0.4417, + "step": 28446 + }, + { + "epoch": 1.0, + "learning_rate": 1.0070409580720253e-08, + "loss": 0.3673, + "step": 28447 + }, + { + "epoch": 1.0, + "learning_rate": 9.914886926221113e-09, + "loss": 0.4756, + "step": 28448 + }, + { + "epoch": 1.0, + "learning_rate": 9.760574485051522e-09, + "loss": 0.3789, + "step": 28449 + }, + { + "epoch": 1.0, + "learning_rate": 9.60747225909886e-09, + "loss": 0.4546, + "step": 28450 + }, + { + "epoch": 1.0, + "learning_rate": 9.455580250206097e-09, + "loss": 0.432, + "step": 28451 + }, + { + "epoch": 1.0, + "learning_rate": 9.304898460216204e-09, + "loss": 0.3833, + "step": 28452 + }, + { + "epoch": 1.0, + "learning_rate": 9.15542689096105e-09, + "loss": 0.4434, + "step": 28453 + }, + { + "epoch": 1.0, + "learning_rate": 9.00716554422809e-09, + "loss": 0.4035, + "step": 28454 + }, + { + "epoch": 1.0, + "learning_rate": 8.860114421826993e-09, + "loss": 0.4213, + "step": 28455 + }, + { + "epoch": 1.0, + "learning_rate": 8.714273525534112e-09, + "loss": 0.3837, + "step": 28456 + }, + { + "epoch": 1.0, + "learning_rate": 8.5696428571036e-09, + "loss": 0.3849, + "step": 28457 + }, + { + "epoch": 1.0, + "learning_rate": 8.426222418311814e-09, + "loss": 0.3845, + "step": 28458 + }, + { + "epoch": 1.0, + "learning_rate": 8.284012210868497e-09, + "loss": 0.3362, + "step": 28459 + }, + { + "epoch": 1.0, + "learning_rate": 8.1430122365167e-09, + "loss": 0.4963, + "step": 28460 + }, + { + "epoch": 1.0, + "learning_rate": 8.003222496943963e-09, + "loss": 0.3309, + "step": 28461 + }, + { + "epoch": 1.0, + "learning_rate": 7.864642993860027e-09, + "loss": 0.4274, + "step": 28462 + }, + { + "epoch": 1.0, + "learning_rate": 7.727273728919126e-09, + "loss": 0.382, + "step": 28463 + }, + { + "epoch": 1.0, + "learning_rate": 7.5911147038088e-09, + "loss": 0.3988, + "step": 28464 + }, + { + "epoch": 1.0, + "learning_rate": 7.456165920161074e-09, + "loss": 0.4408, + "step": 28465 + }, + { + "epoch": 1.0, + "learning_rate": 7.322427379607977e-09, + "loss": 0.3852, + "step": 28466 + }, + { + "epoch": 1.0, + "learning_rate": 7.189899083781537e-09, + "loss": 0.3546, + "step": 28467 + }, + { + "epoch": 1.0, + "learning_rate": 7.058581034280476e-09, + "loss": 0.3996, + "step": 28468 + }, + { + "epoch": 1.0, + "learning_rate": 6.9284732326924116e-09, + "loss": 0.4265, + "step": 28469 + }, + { + "epoch": 1.0, + "learning_rate": 6.799575680582759e-09, + "loss": 0.4523, + "step": 28470 + }, + { + "epoch": 1.0, + "learning_rate": 6.671888379528035e-09, + "loss": 0.3742, + "step": 28471 + }, + { + "epoch": 1.0, + "learning_rate": 6.545411331060347e-09, + "loss": 0.3725, + "step": 28472 + }, + { + "epoch": 1.0, + "learning_rate": 6.420144536722905e-09, + "loss": 0.4188, + "step": 28473 + }, + { + "epoch": 1.0, + "learning_rate": 6.296087998025613e-09, + "loss": 0.4964, + "step": 28474 + }, + { + "epoch": 1.0, + "learning_rate": 6.17324171646727e-09, + "loss": 0.3428, + "step": 28475 + }, + { + "epoch": 1.0, + "learning_rate": 6.051605693535578e-09, + "loss": 0.4072, + "step": 28476 + }, + { + "epoch": 1.0, + "learning_rate": 5.931179930707131e-09, + "loss": 0.4361, + "step": 28477 + }, + { + "epoch": 1.0, + "learning_rate": 5.811964429425221e-09, + "loss": 0.3906, + "step": 28478 + }, + { + "epoch": 1.0, + "learning_rate": 5.6939591911553405e-09, + "loss": 0.4242, + "step": 28479 + }, + { + "epoch": 1.0, + "learning_rate": 5.577164217318576e-09, + "loss": 0.4167, + "step": 28480 + }, + { + "epoch": 1.0, + "learning_rate": 5.4615795093138075e-09, + "loss": 0.4732, + "step": 28481 + }, + { + "epoch": 1.0, + "learning_rate": 5.347205068562122e-09, + "loss": 0.4765, + "step": 28482 + }, + { + "epoch": 1.0, + "learning_rate": 5.234040896429093e-09, + "loss": 0.4261, + "step": 28483 + }, + { + "epoch": 1.0, + "learning_rate": 5.122086994291397e-09, + "loss": 0.422, + "step": 28484 + }, + { + "epoch": 1.0, + "learning_rate": 5.011343363503506e-09, + "loss": 0.4943, + "step": 28485 + }, + { + "epoch": 1.0, + "learning_rate": 4.901810005408791e-09, + "loss": 0.3761, + "step": 28486 + }, + { + "epoch": 1.0, + "learning_rate": 4.793486921328416e-09, + "loss": 0.4159, + "step": 28487 + }, + { + "epoch": 1.0, + "learning_rate": 4.686374112583547e-09, + "loss": 0.4142, + "step": 28488 + }, + { + "epoch": 1.0, + "learning_rate": 4.5804715804509404e-09, + "loss": 0.346, + "step": 28489 + }, + { + "epoch": 1.0, + "learning_rate": 4.475779326229557e-09, + "loss": 0.4073, + "step": 28490 + }, + { + "epoch": 1.0, + "learning_rate": 4.372297351185051e-09, + "loss": 0.4042, + "step": 28491 + }, + { + "epoch": 1.0, + "learning_rate": 4.270025656560872e-09, + "loss": 0.3536, + "step": 28492 + }, + { + "epoch": 1.0, + "learning_rate": 4.168964243611573e-09, + "loss": 0.35, + "step": 28493 + }, + { + "epoch": 1.0, + "learning_rate": 4.069113113536194e-09, + "loss": 0.3765, + "step": 28494 + }, + { + "epoch": 1.0, + "learning_rate": 3.9704722675559805e-09, + "loss": 0.3886, + "step": 28495 + }, + { + "epoch": 1.0, + "learning_rate": 3.8730417068699734e-09, + "loss": 0.4716, + "step": 28496 + }, + { + "epoch": 1.0, + "learning_rate": 3.776821432655009e-09, + "loss": 0.4125, + "step": 28497 + }, + { + "epoch": 1.0, + "learning_rate": 3.6818114460657195e-09, + "loss": 0.5065, + "step": 28498 + }, + { + "epoch": 1.0, + "learning_rate": 3.5880117482678388e-09, + "loss": 0.3922, + "step": 28499 + }, + { + "epoch": 1.0, + "learning_rate": 3.4954223403826926e-09, + "loss": 0.3817, + "step": 28500 + }, + { + "epoch": 1.0, + "learning_rate": 3.4040432235316055e-09, + "loss": 0.4148, + "step": 28501 + }, + { + "epoch": 1.0, + "learning_rate": 3.3138743988359034e-09, + "loss": 0.5068, + "step": 28502 + }, + { + "epoch": 1.0, + "learning_rate": 3.2249158673725022e-09, + "loss": 0.3637, + "step": 28503 + }, + { + "epoch": 1.0, + "learning_rate": 3.1371676302183184e-09, + "loss": 0.3357, + "step": 28504 + }, + { + "epoch": 1.0, + "learning_rate": 3.050629688439166e-09, + "loss": 0.4162, + "step": 28505 + }, + { + "epoch": 1.0, + "learning_rate": 2.965302043078655e-09, + "loss": 0.4393, + "step": 28506 + }, + { + "epoch": 1.0, + "learning_rate": 2.8811846951803945e-09, + "loss": 0.4675, + "step": 28507 + }, + { + "epoch": 1.0, + "learning_rate": 2.798277645754688e-09, + "loss": 0.3313, + "step": 28508 + }, + { + "epoch": 1.0, + "learning_rate": 2.7165808958007353e-09, + "loss": 0.4385, + "step": 28509 + }, + { + "epoch": 1.0, + "learning_rate": 2.6360944463177384e-09, + "loss": 0.4432, + "step": 28510 + }, + { + "epoch": 1.0, + "learning_rate": 2.5568182982715905e-09, + "loss": 0.3404, + "step": 28511 + }, + { + "epoch": 1.0, + "learning_rate": 2.478752452628186e-09, + "loss": 0.3601, + "step": 28512 + }, + { + "epoch": 1.0, + "learning_rate": 2.4018969103201117e-09, + "loss": 0.3643, + "step": 28513 + }, + { + "epoch": 1.0, + "learning_rate": 2.3262516722910575e-09, + "loss": 0.4873, + "step": 28514 + }, + { + "epoch": 1.0, + "learning_rate": 2.2518167394514065e-09, + "loss": 0.383, + "step": 28515 + }, + { + "epoch": 1.0, + "learning_rate": 2.1785921127004396e-09, + "loss": 0.3477, + "step": 28516 + }, + { + "epoch": 1.0, + "learning_rate": 2.106577792926334e-09, + "loss": 0.4118, + "step": 28517 + }, + { + "epoch": 1.0, + "learning_rate": 2.0357737810061674e-09, + "loss": 0.4262, + "step": 28518 + }, + { + "epoch": 1.0, + "learning_rate": 1.966180077783708e-09, + "loss": 0.4123, + "step": 28519 + }, + { + "epoch": 1.0, + "learning_rate": 1.8977966841138284e-09, + "loss": 0.4239, + "step": 28520 + }, + { + "epoch": 1.0, + "learning_rate": 1.8306236008180934e-09, + "loss": 0.395, + "step": 28521 + }, + { + "epoch": 1.0, + "learning_rate": 1.7646608287069655e-09, + "loss": 0.4477, + "step": 28522 + }, + { + "epoch": 1.0, + "learning_rate": 1.699908368590908e-09, + "loss": 0.4197, + "step": 28523 + }, + { + "epoch": 1.0, + "learning_rate": 1.6363662212359742e-09, + "loss": 0.3608, + "step": 28524 + }, + { + "epoch": 1.0, + "learning_rate": 1.574034387430423e-09, + "loss": 0.3523, + "step": 28525 + }, + { + "epoch": 1.0, + "learning_rate": 1.5129128679070015e-09, + "loss": 0.4141, + "step": 28526 + }, + { + "epoch": 1.0, + "learning_rate": 1.4530016634317633e-09, + "loss": 0.5187, + "step": 28527 + }, + { + "epoch": 1.0, + "learning_rate": 1.3943007747041492e-09, + "loss": 0.4281, + "step": 28528 + }, + { + "epoch": 1.0, + "learning_rate": 1.336810202445804e-09, + "loss": 0.4407, + "step": 28529 + }, + { + "epoch": 1.0, + "learning_rate": 1.2805299473561683e-09, + "loss": 0.4462, + "step": 28530 + }, + { + "epoch": 1.0, + "learning_rate": 1.225460010112478e-09, + "loss": 0.4579, + "step": 28531 + }, + { + "epoch": 1.0, + "learning_rate": 1.171600391380867e-09, + "loss": 0.3735, + "step": 28532 + }, + { + "epoch": 1.0, + "learning_rate": 1.118951091816367e-09, + "loss": 0.4174, + "step": 28533 + }, + { + "epoch": 1.0, + "learning_rate": 1.067512112051805e-09, + "loss": 0.3486, + "step": 28534 + }, + { + "epoch": 1.0, + "learning_rate": 1.017283452708906e-09, + "loss": 0.4149, + "step": 28535 + }, + { + "epoch": 1.0, + "learning_rate": 9.682651144093946e-10, + "loss": 0.43, + "step": 28536 + }, + { + "epoch": 1.0, + "learning_rate": 9.204570977194848e-10, + "loss": 0.474, + "step": 28537 + }, + { + "epoch": 1.0, + "learning_rate": 8.738594032497993e-10, + "loss": 0.3397, + "step": 28538 + }, + { + "epoch": 1.0, + "learning_rate": 8.28472031533245e-10, + "loss": 0.4553, + "step": 28539 + }, + { + "epoch": 1.0, + "learning_rate": 7.84294983147138e-10, + "loss": 0.4766, + "step": 28540 + }, + { + "epoch": 1.0, + "learning_rate": 7.413282586132831e-10, + "loss": 0.4215, + "step": 28541 + }, + { + "epoch": 1.0, + "learning_rate": 6.995718584423827e-10, + "loss": 0.3451, + "step": 28542 + }, + { + "epoch": 1.0, + "learning_rate": 6.590257831562419e-10, + "loss": 0.3845, + "step": 28543 + }, + { + "epoch": 1.0, + "learning_rate": 6.196900332322564e-10, + "loss": 0.379, + "step": 28544 + }, + { + "epoch": 1.0, + "learning_rate": 5.815646091589244e-10, + "loss": 0.3927, + "step": 28545 + }, + { + "epoch": 1.0, + "learning_rate": 5.446495113914374e-10, + "loss": 0.4438, + "step": 28546 + }, + { + "epoch": 1.0, + "learning_rate": 5.089447403738845e-10, + "loss": 0.37, + "step": 28547 + }, + { + "epoch": 1.0, + "learning_rate": 4.744502965392528e-10, + "loss": 0.4062, + "step": 28548 + }, + { + "epoch": 1.0, + "learning_rate": 4.4116618032052916e-10, + "loss": 0.417, + "step": 28549 + }, + { + "epoch": 1.0, + "learning_rate": 4.090923920951895e-10, + "loss": 0.3917, + "step": 28550 + }, + { + "epoch": 1.0, + "learning_rate": 3.78228932262914e-10, + "loss": 0.3623, + "step": 28551 + }, + { + "epoch": 1.0, + "learning_rate": 3.485758012011786e-10, + "loss": 0.4304, + "step": 28552 + }, + { + "epoch": 1.0, + "learning_rate": 3.2013299926525463e-10, + "loss": 0.4665, + "step": 28553 + }, + { + "epoch": 1.0, + "learning_rate": 2.9290052679931124e-10, + "loss": 0.4551, + "step": 28554 + }, + { + "epoch": 1.0, + "learning_rate": 2.6687838413641533e-10, + "loss": 0.4735, + "step": 28555 + }, + { + "epoch": 1.0, + "learning_rate": 2.420665715874293e-10, + "loss": 0.36, + "step": 28556 + }, + { + "epoch": 1.0, + "learning_rate": 2.1846508945211342e-10, + "loss": 0.3995, + "step": 28557 + }, + { + "epoch": 1.0, + "learning_rate": 1.9607393800802343e-10, + "loss": 0.3255, + "step": 28558 + }, + { + "epoch": 1.0, + "learning_rate": 1.7489311754381732e-10, + "loss": 0.436, + "step": 28559 + }, + { + "epoch": 1.0, + "learning_rate": 1.5492262831484638e-10, + "loss": 0.379, + "step": 28560 + }, + { + "epoch": 1.0, + "learning_rate": 1.3616247055425745e-10, + "loss": 0.4143, + "step": 28561 + }, + { + "epoch": 1.0, + "learning_rate": 1.1861264448409514e-10, + "loss": 0.3755, + "step": 28562 + }, + { + "epoch": 1.0, + "learning_rate": 1.0227315032640406e-10, + "loss": 0.4294, + "step": 28563 + }, + { + "epoch": 1.0, + "learning_rate": 8.71439882699221e-11, + "loss": 0.4325, + "step": 28564 + }, + { + "epoch": 1.0, + "learning_rate": 7.322515851448941e-11, + "loss": 0.4234, + "step": 28565 + }, + { + "epoch": 1.0, + "learning_rate": 6.051666120443499e-11, + "loss": 0.4007, + "step": 28566 + }, + { + "epoch": 1.0, + "learning_rate": 4.901849651739454e-11, + "loss": 0.3894, + "step": 28567 + }, + { + "epoch": 1.0, + "learning_rate": 3.873066457549257e-11, + "loss": 0.402, + "step": 28568 + }, + { + "epoch": 1.0, + "learning_rate": 2.9653165511955846e-11, + "loss": 0.4283, + "step": 28569 + }, + { + "epoch": 1.0, + "learning_rate": 2.178599943780668e-11, + "loss": 0.378, + "step": 28570 + }, + { + "epoch": 1.0, + "learning_rate": 1.5129166441862907e-11, + "loss": 0.4071, + "step": 28571 + }, + { + "epoch": 1.0, + "learning_rate": 9.68266661294237e-12, + "loss": 0.4696, + "step": 28572 + }, + { + "epoch": 1.0, + "learning_rate": 5.446500006556221e-12, + "loss": 0.4218, + "step": 28573 + }, + { + "epoch": 1.0, + "learning_rate": 2.4206666782156106e-12, + "loss": 0.401, + "step": 28574 + }, + { + "epoch": 1.0, + "learning_rate": 6.051666723294603e-13, + "loss": 0.4331, + "step": 28575 + }, + { + "epoch": 1.0, + "learning_rate": 0.0, + "loss": 0.402, + "step": 28576 + } + ], + "logging_steps": 1, + "max_steps": 28576, + "num_train_epochs": 1, + "save_steps": 500, + "total_flos": 2.734103779564585e+19, + "trial_name": null, + "trial_params": null +}