diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,24032 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.0, + "eval_steps": 4000, + "global_step": 4000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 4.99875e-05, + "loss": 1.4697, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 4.9975e-05, + "loss": 1.0811, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 4.99625e-05, + "loss": 1.3613, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 4.995e-05, + "loss": 1.1719, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 4.99375e-05, + "loss": 1.1777, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 4.992500000000001e-05, + "loss": 1.3584, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 4.99125e-05, + "loss": 1.0566, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 4.99e-05, + "loss": 1.4434, + "step": 8 + }, + { + "epoch": 0.0, + "learning_rate": 4.9887500000000006e-05, + "loss": 1.2295, + "step": 9 + }, + { + "epoch": 0.0, + "learning_rate": 4.9875000000000006e-05, + "loss": 1.3047, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 4.98625e-05, + "loss": 1.2568, + "step": 11 + }, + { + "epoch": 0.0, + "learning_rate": 4.9850000000000006e-05, + "loss": 1.2852, + "step": 12 + }, + { + "epoch": 0.0, + "learning_rate": 4.9837500000000005e-05, + "loss": 1.3584, + "step": 13 + }, + { + "epoch": 0.0, + "learning_rate": 4.9825000000000005e-05, + "loss": 1.3174, + "step": 14 + }, + { + "epoch": 0.0, + "learning_rate": 4.98125e-05, + "loss": 1.2148, + "step": 15 + }, + { + "epoch": 0.0, + "learning_rate": 4.9800000000000004e-05, + "loss": 1.3477, + "step": 16 + }, + { + "epoch": 0.0, + "learning_rate": 4.9787500000000004e-05, + "loss": 1.6338, + "step": 17 + }, + { + "epoch": 0.0, + "learning_rate": 4.9775000000000004e-05, + "loss": 1.4756, + "step": 18 + }, + { + "epoch": 0.0, + "learning_rate": 4.9762500000000003e-05, + "loss": 1.1299, + "step": 19 + }, + { + "epoch": 0.01, + "learning_rate": 4.975e-05, + "loss": 1.2607, + "step": 20 + }, + { + "epoch": 0.01, + "learning_rate": 4.97375e-05, + "loss": 1.2324, + "step": 21 + }, + { + "epoch": 0.01, + "learning_rate": 4.9725e-05, + "loss": 1.5986, + "step": 22 + }, + { + "epoch": 0.01, + "learning_rate": 4.97125e-05, + "loss": 1.2881, + "step": 23 + }, + { + "epoch": 0.01, + "learning_rate": 4.97e-05, + "loss": 1.2285, + "step": 24 + }, + { + "epoch": 0.01, + "learning_rate": 4.96875e-05, + "loss": 1.2188, + "step": 25 + }, + { + "epoch": 0.01, + "learning_rate": 4.967500000000001e-05, + "loss": 1.3916, + "step": 26 + }, + { + "epoch": 0.01, + "learning_rate": 4.96625e-05, + "loss": 1.2383, + "step": 27 + }, + { + "epoch": 0.01, + "learning_rate": 4.965e-05, + "loss": 1.3721, + "step": 28 + }, + { + "epoch": 0.01, + "learning_rate": 4.96375e-05, + "loss": 1.2656, + "step": 29 + }, + { + "epoch": 0.01, + "learning_rate": 4.962500000000001e-05, + "loss": 0.9907, + "step": 30 + }, + { + "epoch": 0.01, + "learning_rate": 4.96125e-05, + "loss": 1.4502, + "step": 31 + }, + { + "epoch": 0.01, + "learning_rate": 4.96e-05, + "loss": 1.3096, + "step": 32 + }, + { + "epoch": 0.01, + "learning_rate": 4.9587500000000006e-05, + "loss": 1.3252, + "step": 33 + }, + { + "epoch": 0.01, + "learning_rate": 4.9575000000000006e-05, + "loss": 1.1709, + "step": 34 + }, + { + "epoch": 0.01, + "learning_rate": 4.95625e-05, + "loss": 1.4229, + "step": 35 + }, + { + "epoch": 0.01, + "learning_rate": 4.9550000000000005e-05, + "loss": 1.3633, + "step": 36 + }, + { + "epoch": 0.01, + "learning_rate": 4.9537500000000005e-05, + "loss": 1.0879, + "step": 37 + }, + { + "epoch": 0.01, + "learning_rate": 4.9525000000000004e-05, + "loss": 1.2695, + "step": 38 + }, + { + "epoch": 0.01, + "learning_rate": 4.95125e-05, + "loss": 1.0879, + "step": 39 + }, + { + "epoch": 0.01, + "learning_rate": 4.9500000000000004e-05, + "loss": 1.1084, + "step": 40 + }, + { + "epoch": 0.01, + "learning_rate": 4.9487500000000003e-05, + "loss": 1.2812, + "step": 41 + }, + { + "epoch": 0.01, + "learning_rate": 4.9475e-05, + "loss": 1.2246, + "step": 42 + }, + { + "epoch": 0.01, + "learning_rate": 4.94625e-05, + "loss": 1.2803, + "step": 43 + }, + { + "epoch": 0.01, + "learning_rate": 4.945e-05, + "loss": 1.4619, + "step": 44 + }, + { + "epoch": 0.01, + "learning_rate": 4.94375e-05, + "loss": 1.25, + "step": 45 + }, + { + "epoch": 0.01, + "learning_rate": 4.9425e-05, + "loss": 1.4443, + "step": 46 + }, + { + "epoch": 0.01, + "learning_rate": 4.94125e-05, + "loss": 1.2559, + "step": 47 + }, + { + "epoch": 0.01, + "learning_rate": 4.94e-05, + "loss": 1.2451, + "step": 48 + }, + { + "epoch": 0.01, + "learning_rate": 4.93875e-05, + "loss": 1.209, + "step": 49 + }, + { + "epoch": 0.01, + "learning_rate": 4.937500000000001e-05, + "loss": 1.3916, + "step": 50 + }, + { + "epoch": 0.01, + "learning_rate": 4.93625e-05, + "loss": 1.4688, + "step": 51 + }, + { + "epoch": 0.01, + "learning_rate": 4.935e-05, + "loss": 1.2725, + "step": 52 + }, + { + "epoch": 0.01, + "learning_rate": 4.93375e-05, + "loss": 1.3896, + "step": 53 + }, + { + "epoch": 0.01, + "learning_rate": 4.9325000000000006e-05, + "loss": 1.3613, + "step": 54 + }, + { + "epoch": 0.01, + "learning_rate": 4.93125e-05, + "loss": 1.292, + "step": 55 + }, + { + "epoch": 0.01, + "learning_rate": 4.93e-05, + "loss": 1.3525, + "step": 56 + }, + { + "epoch": 0.01, + "learning_rate": 4.9287500000000005e-05, + "loss": 1.4473, + "step": 57 + }, + { + "epoch": 0.01, + "learning_rate": 4.9275000000000005e-05, + "loss": 1.1826, + "step": 58 + }, + { + "epoch": 0.01, + "learning_rate": 4.92625e-05, + "loss": 1.2129, + "step": 59 + }, + { + "epoch": 0.01, + "learning_rate": 4.9250000000000004e-05, + "loss": 1.3174, + "step": 60 + }, + { + "epoch": 0.02, + "learning_rate": 4.9237500000000004e-05, + "loss": 1.4639, + "step": 61 + }, + { + "epoch": 0.02, + "learning_rate": 4.9225000000000004e-05, + "loss": 1.3818, + "step": 62 + }, + { + "epoch": 0.02, + "learning_rate": 4.9212500000000004e-05, + "loss": 1.3838, + "step": 63 + }, + { + "epoch": 0.02, + "learning_rate": 4.92e-05, + "loss": 1.1934, + "step": 64 + }, + { + "epoch": 0.02, + "learning_rate": 4.91875e-05, + "loss": 1.2314, + "step": 65 + }, + { + "epoch": 0.02, + "learning_rate": 4.9175e-05, + "loss": 1.2461, + "step": 66 + }, + { + "epoch": 0.02, + "learning_rate": 4.91625e-05, + "loss": 1.1143, + "step": 67 + }, + { + "epoch": 0.02, + "learning_rate": 4.915e-05, + "loss": 1.3955, + "step": 68 + }, + { + "epoch": 0.02, + "learning_rate": 4.91375e-05, + "loss": 1.3193, + "step": 69 + }, + { + "epoch": 0.02, + "learning_rate": 4.9125e-05, + "loss": 1.2363, + "step": 70 + }, + { + "epoch": 0.02, + "learning_rate": 4.91125e-05, + "loss": 1.4629, + "step": 71 + }, + { + "epoch": 0.02, + "learning_rate": 4.91e-05, + "loss": 1.0479, + "step": 72 + }, + { + "epoch": 0.02, + "learning_rate": 4.90875e-05, + "loss": 1.3818, + "step": 73 + }, + { + "epoch": 0.02, + "learning_rate": 4.907500000000001e-05, + "loss": 1.2168, + "step": 74 + }, + { + "epoch": 0.02, + "learning_rate": 4.90625e-05, + "loss": 1.3486, + "step": 75 + }, + { + "epoch": 0.02, + "learning_rate": 4.905e-05, + "loss": 1.0703, + "step": 76 + }, + { + "epoch": 0.02, + "learning_rate": 4.9037500000000006e-05, + "loss": 1.2959, + "step": 77 + }, + { + "epoch": 0.02, + "learning_rate": 4.9025000000000006e-05, + "loss": 1.3691, + "step": 78 + }, + { + "epoch": 0.02, + "learning_rate": 4.90125e-05, + "loss": 1.0488, + "step": 79 + }, + { + "epoch": 0.02, + "learning_rate": 4.9e-05, + "loss": 1.3555, + "step": 80 + }, + { + "epoch": 0.02, + "learning_rate": 4.8987500000000005e-05, + "loss": 1.1963, + "step": 81 + }, + { + "epoch": 0.02, + "learning_rate": 4.8975000000000005e-05, + "loss": 1.1504, + "step": 82 + }, + { + "epoch": 0.02, + "learning_rate": 4.89625e-05, + "loss": 1.4912, + "step": 83 + }, + { + "epoch": 0.02, + "learning_rate": 4.8950000000000004e-05, + "loss": 1.2725, + "step": 84 + }, + { + "epoch": 0.02, + "learning_rate": 4.8937500000000004e-05, + "loss": 1.4023, + "step": 85 + }, + { + "epoch": 0.02, + "learning_rate": 4.8925e-05, + "loss": 1.5596, + "step": 86 + }, + { + "epoch": 0.02, + "learning_rate": 4.89125e-05, + "loss": 1.2705, + "step": 87 + }, + { + "epoch": 0.02, + "learning_rate": 4.89e-05, + "loss": 1.0928, + "step": 88 + }, + { + "epoch": 0.02, + "learning_rate": 4.88875e-05, + "loss": 1.2275, + "step": 89 + }, + { + "epoch": 0.02, + "learning_rate": 4.8875e-05, + "loss": 1.2451, + "step": 90 + }, + { + "epoch": 0.02, + "learning_rate": 4.88625e-05, + "loss": 1.3652, + "step": 91 + }, + { + "epoch": 0.02, + "learning_rate": 4.885e-05, + "loss": 1.4785, + "step": 92 + }, + { + "epoch": 0.02, + "learning_rate": 4.88375e-05, + "loss": 1.6387, + "step": 93 + }, + { + "epoch": 0.02, + "learning_rate": 4.8825e-05, + "loss": 1.166, + "step": 94 + }, + { + "epoch": 0.02, + "learning_rate": 4.88125e-05, + "loss": 1.1338, + "step": 95 + }, + { + "epoch": 0.02, + "learning_rate": 4.88e-05, + "loss": 1.1611, + "step": 96 + }, + { + "epoch": 0.02, + "learning_rate": 4.87875e-05, + "loss": 1.3193, + "step": 97 + }, + { + "epoch": 0.02, + "learning_rate": 4.8775000000000007e-05, + "loss": 1.4756, + "step": 98 + }, + { + "epoch": 0.02, + "learning_rate": 4.87625e-05, + "loss": 1.5615, + "step": 99 + }, + { + "epoch": 0.03, + "learning_rate": 4.875e-05, + "loss": 1.0479, + "step": 100 + }, + { + "epoch": 0.03, + "learning_rate": 4.8737500000000006e-05, + "loss": 1.1396, + "step": 101 + }, + { + "epoch": 0.03, + "learning_rate": 4.8725000000000005e-05, + "loss": 1.2549, + "step": 102 + }, + { + "epoch": 0.03, + "learning_rate": 4.87125e-05, + "loss": 1.2256, + "step": 103 + }, + { + "epoch": 0.03, + "learning_rate": 4.87e-05, + "loss": 1.2373, + "step": 104 + }, + { + "epoch": 0.03, + "learning_rate": 4.8687500000000004e-05, + "loss": 1.4336, + "step": 105 + }, + { + "epoch": 0.03, + "learning_rate": 4.8675000000000004e-05, + "loss": 1.2549, + "step": 106 + }, + { + "epoch": 0.03, + "learning_rate": 4.86625e-05, + "loss": 1.1465, + "step": 107 + }, + { + "epoch": 0.03, + "learning_rate": 4.8650000000000003e-05, + "loss": 1.5664, + "step": 108 + }, + { + "epoch": 0.03, + "learning_rate": 4.86375e-05, + "loss": 1.2871, + "step": 109 + }, + { + "epoch": 0.03, + "learning_rate": 4.8625e-05, + "loss": 1.4307, + "step": 110 + }, + { + "epoch": 0.03, + "learning_rate": 4.86125e-05, + "loss": 1.5811, + "step": 111 + }, + { + "epoch": 0.03, + "learning_rate": 4.86e-05, + "loss": 1.3457, + "step": 112 + }, + { + "epoch": 0.03, + "learning_rate": 4.85875e-05, + "loss": 1.0977, + "step": 113 + }, + { + "epoch": 0.03, + "learning_rate": 4.8575e-05, + "loss": 1.252, + "step": 114 + }, + { + "epoch": 0.03, + "learning_rate": 4.85625e-05, + "loss": 1.4561, + "step": 115 + }, + { + "epoch": 0.03, + "learning_rate": 4.855e-05, + "loss": 0.9707, + "step": 116 + }, + { + "epoch": 0.03, + "learning_rate": 4.85375e-05, + "loss": 1.4014, + "step": 117 + }, + { + "epoch": 0.03, + "learning_rate": 4.8525e-05, + "loss": 1.1699, + "step": 118 + }, + { + "epoch": 0.03, + "learning_rate": 4.85125e-05, + "loss": 1.1719, + "step": 119 + }, + { + "epoch": 0.03, + "learning_rate": 4.85e-05, + "loss": 1.123, + "step": 120 + }, + { + "epoch": 0.03, + "learning_rate": 4.84875e-05, + "loss": 1.1445, + "step": 121 + }, + { + "epoch": 0.03, + "learning_rate": 4.8475000000000006e-05, + "loss": 1.2402, + "step": 122 + }, + { + "epoch": 0.03, + "learning_rate": 4.84625e-05, + "loss": 1.5352, + "step": 123 + }, + { + "epoch": 0.03, + "learning_rate": 4.845e-05, + "loss": 1.377, + "step": 124 + }, + { + "epoch": 0.03, + "learning_rate": 4.8437500000000005e-05, + "loss": 1.3467, + "step": 125 + }, + { + "epoch": 0.03, + "learning_rate": 4.8425000000000005e-05, + "loss": 1.2383, + "step": 126 + }, + { + "epoch": 0.03, + "learning_rate": 4.8412500000000004e-05, + "loss": 1.5068, + "step": 127 + }, + { + "epoch": 0.03, + "learning_rate": 4.8400000000000004e-05, + "loss": 1.5156, + "step": 128 + }, + { + "epoch": 0.03, + "learning_rate": 4.8387500000000004e-05, + "loss": 1.2002, + "step": 129 + }, + { + "epoch": 0.03, + "learning_rate": 4.8375000000000004e-05, + "loss": 1.2275, + "step": 130 + }, + { + "epoch": 0.03, + "learning_rate": 4.83625e-05, + "loss": 1.2041, + "step": 131 + }, + { + "epoch": 0.03, + "learning_rate": 4.835e-05, + "loss": 1.1094, + "step": 132 + }, + { + "epoch": 0.03, + "learning_rate": 4.83375e-05, + "loss": 1.3887, + "step": 133 + }, + { + "epoch": 0.03, + "learning_rate": 4.8325e-05, + "loss": 1.3037, + "step": 134 + }, + { + "epoch": 0.03, + "learning_rate": 4.83125e-05, + "loss": 0.9478, + "step": 135 + }, + { + "epoch": 0.03, + "learning_rate": 4.83e-05, + "loss": 1.1729, + "step": 136 + }, + { + "epoch": 0.03, + "learning_rate": 4.82875e-05, + "loss": 1.2959, + "step": 137 + }, + { + "epoch": 0.03, + "learning_rate": 4.8275e-05, + "loss": 1.251, + "step": 138 + }, + { + "epoch": 0.03, + "learning_rate": 4.826250000000001e-05, + "loss": 1.3135, + "step": 139 + }, + { + "epoch": 0.04, + "learning_rate": 4.825e-05, + "loss": 0.8872, + "step": 140 + }, + { + "epoch": 0.04, + "learning_rate": 4.82375e-05, + "loss": 1.1777, + "step": 141 + }, + { + "epoch": 0.04, + "learning_rate": 4.822500000000001e-05, + "loss": 1.0889, + "step": 142 + }, + { + "epoch": 0.04, + "learning_rate": 4.8212500000000006e-05, + "loss": 1.2588, + "step": 143 + }, + { + "epoch": 0.04, + "learning_rate": 4.82e-05, + "loss": 1.3223, + "step": 144 + }, + { + "epoch": 0.04, + "learning_rate": 4.81875e-05, + "loss": 1.3848, + "step": 145 + }, + { + "epoch": 0.04, + "learning_rate": 4.8175000000000005e-05, + "loss": 1.5635, + "step": 146 + }, + { + "epoch": 0.04, + "learning_rate": 4.8162500000000005e-05, + "loss": 0.9692, + "step": 147 + }, + { + "epoch": 0.04, + "learning_rate": 4.815e-05, + "loss": 1.166, + "step": 148 + }, + { + "epoch": 0.04, + "learning_rate": 4.8137500000000005e-05, + "loss": 1.0859, + "step": 149 + }, + { + "epoch": 0.04, + "learning_rate": 4.8125000000000004e-05, + "loss": 1.1338, + "step": 150 + }, + { + "epoch": 0.04, + "learning_rate": 4.8112500000000004e-05, + "loss": 1.3945, + "step": 151 + }, + { + "epoch": 0.04, + "learning_rate": 4.8100000000000004e-05, + "loss": 1.3887, + "step": 152 + }, + { + "epoch": 0.04, + "learning_rate": 4.80875e-05, + "loss": 1.2529, + "step": 153 + }, + { + "epoch": 0.04, + "learning_rate": 4.8075e-05, + "loss": 1.2939, + "step": 154 + }, + { + "epoch": 0.04, + "learning_rate": 4.80625e-05, + "loss": 1.1787, + "step": 155 + }, + { + "epoch": 0.04, + "learning_rate": 4.805e-05, + "loss": 1.4326, + "step": 156 + }, + { + "epoch": 0.04, + "learning_rate": 4.80375e-05, + "loss": 1.3193, + "step": 157 + }, + { + "epoch": 0.04, + "learning_rate": 4.8025e-05, + "loss": 1.3359, + "step": 158 + }, + { + "epoch": 0.04, + "learning_rate": 4.80125e-05, + "loss": 1.4834, + "step": 159 + }, + { + "epoch": 0.04, + "learning_rate": 4.8e-05, + "loss": 1.3623, + "step": 160 + }, + { + "epoch": 0.04, + "learning_rate": 4.79875e-05, + "loss": 1.3428, + "step": 161 + }, + { + "epoch": 0.04, + "learning_rate": 4.7975e-05, + "loss": 1.1758, + "step": 162 + }, + { + "epoch": 0.04, + "learning_rate": 4.796250000000001e-05, + "loss": 1.1289, + "step": 163 + }, + { + "epoch": 0.04, + "learning_rate": 4.795e-05, + "loss": 0.9331, + "step": 164 + }, + { + "epoch": 0.04, + "learning_rate": 4.79375e-05, + "loss": 1.3311, + "step": 165 + }, + { + "epoch": 0.04, + "learning_rate": 4.7925000000000006e-05, + "loss": 1.3555, + "step": 166 + }, + { + "epoch": 0.04, + "learning_rate": 4.7912500000000006e-05, + "loss": 1.3799, + "step": 167 + }, + { + "epoch": 0.04, + "learning_rate": 4.79e-05, + "loss": 1.2207, + "step": 168 + }, + { + "epoch": 0.04, + "learning_rate": 4.78875e-05, + "loss": 1.2969, + "step": 169 + }, + { + "epoch": 0.04, + "learning_rate": 4.7875000000000005e-05, + "loss": 1.3379, + "step": 170 + }, + { + "epoch": 0.04, + "learning_rate": 4.7862500000000005e-05, + "loss": 1.3076, + "step": 171 + }, + { + "epoch": 0.04, + "learning_rate": 4.785e-05, + "loss": 1.2881, + "step": 172 + }, + { + "epoch": 0.04, + "learning_rate": 4.7837500000000004e-05, + "loss": 1.1455, + "step": 173 + }, + { + "epoch": 0.04, + "learning_rate": 4.7825000000000004e-05, + "loss": 1.3721, + "step": 174 + }, + { + "epoch": 0.04, + "learning_rate": 4.7812500000000003e-05, + "loss": 1.2178, + "step": 175 + }, + { + "epoch": 0.04, + "learning_rate": 4.78e-05, + "loss": 1.0518, + "step": 176 + }, + { + "epoch": 0.04, + "learning_rate": 4.77875e-05, + "loss": 1.5059, + "step": 177 + }, + { + "epoch": 0.04, + "learning_rate": 4.7775e-05, + "loss": 1.3643, + "step": 178 + }, + { + "epoch": 0.04, + "learning_rate": 4.77625e-05, + "loss": 1.1416, + "step": 179 + }, + { + "epoch": 0.04, + "learning_rate": 4.775e-05, + "loss": 1.3154, + "step": 180 + }, + { + "epoch": 0.05, + "learning_rate": 4.77375e-05, + "loss": 1.21, + "step": 181 + }, + { + "epoch": 0.05, + "learning_rate": 4.7725e-05, + "loss": 1.334, + "step": 182 + }, + { + "epoch": 0.05, + "learning_rate": 4.771250000000001e-05, + "loss": 1.3164, + "step": 183 + }, + { + "epoch": 0.05, + "learning_rate": 4.77e-05, + "loss": 1.1533, + "step": 184 + }, + { + "epoch": 0.05, + "learning_rate": 4.76875e-05, + "loss": 1.3809, + "step": 185 + }, + { + "epoch": 0.05, + "learning_rate": 4.7675e-05, + "loss": 1.2109, + "step": 186 + }, + { + "epoch": 0.05, + "learning_rate": 4.7662500000000007e-05, + "loss": 1.1982, + "step": 187 + }, + { + "epoch": 0.05, + "learning_rate": 4.765e-05, + "loss": 1.1748, + "step": 188 + }, + { + "epoch": 0.05, + "learning_rate": 4.76375e-05, + "loss": 1.292, + "step": 189 + }, + { + "epoch": 0.05, + "learning_rate": 4.7625000000000006e-05, + "loss": 1.374, + "step": 190 + }, + { + "epoch": 0.05, + "learning_rate": 4.7612500000000005e-05, + "loss": 1.1572, + "step": 191 + }, + { + "epoch": 0.05, + "learning_rate": 4.76e-05, + "loss": 1.4795, + "step": 192 + }, + { + "epoch": 0.05, + "learning_rate": 4.7587500000000005e-05, + "loss": 1.1904, + "step": 193 + }, + { + "epoch": 0.05, + "learning_rate": 4.7575000000000004e-05, + "loss": 1.2695, + "step": 194 + }, + { + "epoch": 0.05, + "learning_rate": 4.7562500000000004e-05, + "loss": 1.4336, + "step": 195 + }, + { + "epoch": 0.05, + "learning_rate": 4.755e-05, + "loss": 1.6367, + "step": 196 + }, + { + "epoch": 0.05, + "learning_rate": 4.7537500000000004e-05, + "loss": 1.2051, + "step": 197 + }, + { + "epoch": 0.05, + "learning_rate": 4.7525e-05, + "loss": 1.2051, + "step": 198 + }, + { + "epoch": 0.05, + "learning_rate": 4.75125e-05, + "loss": 1.1826, + "step": 199 + }, + { + "epoch": 0.05, + "learning_rate": 4.75e-05, + "loss": 1.4717, + "step": 200 + }, + { + "epoch": 0.05, + "learning_rate": 4.74875e-05, + "loss": 1.2285, + "step": 201 + }, + { + "epoch": 0.05, + "learning_rate": 4.7475e-05, + "loss": 1.1729, + "step": 202 + }, + { + "epoch": 0.05, + "learning_rate": 4.74625e-05, + "loss": 1.4365, + "step": 203 + }, + { + "epoch": 0.05, + "learning_rate": 4.745e-05, + "loss": 1.3457, + "step": 204 + }, + { + "epoch": 0.05, + "learning_rate": 4.74375e-05, + "loss": 1.2188, + "step": 205 + }, + { + "epoch": 0.05, + "learning_rate": 4.7425e-05, + "loss": 1.3076, + "step": 206 + }, + { + "epoch": 0.05, + "learning_rate": 4.741250000000001e-05, + "loss": 1.3574, + "step": 207 + }, + { + "epoch": 0.05, + "learning_rate": 4.74e-05, + "loss": 1.3506, + "step": 208 + }, + { + "epoch": 0.05, + "learning_rate": 4.73875e-05, + "loss": 1.1006, + "step": 209 + }, + { + "epoch": 0.05, + "learning_rate": 4.7375e-05, + "loss": 1.2354, + "step": 210 + }, + { + "epoch": 0.05, + "learning_rate": 4.7362500000000006e-05, + "loss": 1.6055, + "step": 211 + }, + { + "epoch": 0.05, + "learning_rate": 4.735e-05, + "loss": 1.3994, + "step": 212 + }, + { + "epoch": 0.05, + "learning_rate": 4.73375e-05, + "loss": 1.1934, + "step": 213 + }, + { + "epoch": 0.05, + "learning_rate": 4.7325000000000005e-05, + "loss": 1.2441, + "step": 214 + }, + { + "epoch": 0.05, + "learning_rate": 4.7312500000000005e-05, + "loss": 1.3662, + "step": 215 + }, + { + "epoch": 0.05, + "learning_rate": 4.73e-05, + "loss": 1.0879, + "step": 216 + }, + { + "epoch": 0.05, + "learning_rate": 4.7287500000000004e-05, + "loss": 1.2012, + "step": 217 + }, + { + "epoch": 0.05, + "learning_rate": 4.7275000000000004e-05, + "loss": 1.4014, + "step": 218 + }, + { + "epoch": 0.05, + "learning_rate": 4.7262500000000004e-05, + "loss": 1.2744, + "step": 219 + }, + { + "epoch": 0.06, + "learning_rate": 4.7249999999999997e-05, + "loss": 1.4756, + "step": 220 + }, + { + "epoch": 0.06, + "learning_rate": 4.72375e-05, + "loss": 1.2383, + "step": 221 + }, + { + "epoch": 0.06, + "learning_rate": 4.7225e-05, + "loss": 1.2773, + "step": 222 + }, + { + "epoch": 0.06, + "learning_rate": 4.72125e-05, + "loss": 1.4775, + "step": 223 + }, + { + "epoch": 0.06, + "learning_rate": 4.72e-05, + "loss": 1.2236, + "step": 224 + }, + { + "epoch": 0.06, + "learning_rate": 4.71875e-05, + "loss": 1.3848, + "step": 225 + }, + { + "epoch": 0.06, + "learning_rate": 4.7175e-05, + "loss": 1.3799, + "step": 226 + }, + { + "epoch": 0.06, + "learning_rate": 4.71625e-05, + "loss": 1.583, + "step": 227 + }, + { + "epoch": 0.06, + "learning_rate": 4.715e-05, + "loss": 1.2686, + "step": 228 + }, + { + "epoch": 0.06, + "learning_rate": 4.71375e-05, + "loss": 1.2754, + "step": 229 + }, + { + "epoch": 0.06, + "learning_rate": 4.7125e-05, + "loss": 1.3945, + "step": 230 + }, + { + "epoch": 0.06, + "learning_rate": 4.711250000000001e-05, + "loss": 1.5869, + "step": 231 + }, + { + "epoch": 0.06, + "learning_rate": 4.71e-05, + "loss": 1.2168, + "step": 232 + }, + { + "epoch": 0.06, + "learning_rate": 4.70875e-05, + "loss": 1.4951, + "step": 233 + }, + { + "epoch": 0.06, + "learning_rate": 4.7075e-05, + "loss": 1.3994, + "step": 234 + }, + { + "epoch": 0.06, + "learning_rate": 4.7062500000000006e-05, + "loss": 1.0771, + "step": 235 + }, + { + "epoch": 0.06, + "learning_rate": 4.705e-05, + "loss": 1.543, + "step": 236 + }, + { + "epoch": 0.06, + "learning_rate": 4.70375e-05, + "loss": 1.3281, + "step": 237 + }, + { + "epoch": 0.06, + "learning_rate": 4.7025000000000005e-05, + "loss": 1.4795, + "step": 238 + }, + { + "epoch": 0.06, + "learning_rate": 4.7012500000000004e-05, + "loss": 1.5107, + "step": 239 + }, + { + "epoch": 0.06, + "learning_rate": 4.7e-05, + "loss": 1.168, + "step": 240 + }, + { + "epoch": 0.06, + "learning_rate": 4.6987500000000004e-05, + "loss": 1.042, + "step": 241 + }, + { + "epoch": 0.06, + "learning_rate": 4.6975000000000003e-05, + "loss": 1.3467, + "step": 242 + }, + { + "epoch": 0.06, + "learning_rate": 4.69625e-05, + "loss": 1.3809, + "step": 243 + }, + { + "epoch": 0.06, + "learning_rate": 4.695e-05, + "loss": 1.2803, + "step": 244 + }, + { + "epoch": 0.06, + "learning_rate": 4.69375e-05, + "loss": 1.5029, + "step": 245 + }, + { + "epoch": 0.06, + "learning_rate": 4.6925e-05, + "loss": 1.3438, + "step": 246 + }, + { + "epoch": 0.06, + "learning_rate": 4.69125e-05, + "loss": 1.2627, + "step": 247 + }, + { + "epoch": 0.06, + "learning_rate": 4.69e-05, + "loss": 1.2676, + "step": 248 + }, + { + "epoch": 0.06, + "learning_rate": 4.68875e-05, + "loss": 1.5713, + "step": 249 + }, + { + "epoch": 0.06, + "learning_rate": 4.6875e-05, + "loss": 1.4014, + "step": 250 + }, + { + "epoch": 0.06, + "learning_rate": 4.68625e-05, + "loss": 1.4834, + "step": 251 + }, + { + "epoch": 0.06, + "learning_rate": 4.685000000000001e-05, + "loss": 1.0732, + "step": 252 + }, + { + "epoch": 0.06, + "learning_rate": 4.68375e-05, + "loss": 1.3906, + "step": 253 + }, + { + "epoch": 0.06, + "learning_rate": 4.6825e-05, + "loss": 1.1523, + "step": 254 + }, + { + "epoch": 0.06, + "learning_rate": 4.6812500000000006e-05, + "loss": 1.2881, + "step": 255 + }, + { + "epoch": 0.06, + "learning_rate": 4.6800000000000006e-05, + "loss": 1.3252, + "step": 256 + }, + { + "epoch": 0.06, + "learning_rate": 4.67875e-05, + "loss": 1.2266, + "step": 257 + }, + { + "epoch": 0.06, + "learning_rate": 4.6775000000000005e-05, + "loss": 1.1689, + "step": 258 + }, + { + "epoch": 0.06, + "learning_rate": 4.6762500000000005e-05, + "loss": 1.3545, + "step": 259 + }, + { + "epoch": 0.07, + "learning_rate": 4.6750000000000005e-05, + "loss": 1.2266, + "step": 260 + }, + { + "epoch": 0.07, + "learning_rate": 4.67375e-05, + "loss": 1.2725, + "step": 261 + }, + { + "epoch": 0.07, + "learning_rate": 4.6725000000000004e-05, + "loss": 1.5791, + "step": 262 + }, + { + "epoch": 0.07, + "learning_rate": 4.6712500000000004e-05, + "loss": 1.1914, + "step": 263 + }, + { + "epoch": 0.07, + "learning_rate": 4.6700000000000003e-05, + "loss": 1.2676, + "step": 264 + }, + { + "epoch": 0.07, + "learning_rate": 4.66875e-05, + "loss": 1.5557, + "step": 265 + }, + { + "epoch": 0.07, + "learning_rate": 4.6675e-05, + "loss": 1.4473, + "step": 266 + }, + { + "epoch": 0.07, + "learning_rate": 4.66625e-05, + "loss": 1.3516, + "step": 267 + }, + { + "epoch": 0.07, + "learning_rate": 4.665e-05, + "loss": 1.4951, + "step": 268 + }, + { + "epoch": 0.07, + "learning_rate": 4.66375e-05, + "loss": 1.3242, + "step": 269 + }, + { + "epoch": 0.07, + "learning_rate": 4.6625e-05, + "loss": 1.3662, + "step": 270 + }, + { + "epoch": 0.07, + "learning_rate": 4.66125e-05, + "loss": 1.4111, + "step": 271 + }, + { + "epoch": 0.07, + "learning_rate": 4.660000000000001e-05, + "loss": 1.3701, + "step": 272 + }, + { + "epoch": 0.07, + "learning_rate": 4.65875e-05, + "loss": 1.1309, + "step": 273 + }, + { + "epoch": 0.07, + "learning_rate": 4.6575e-05, + "loss": 1.3066, + "step": 274 + }, + { + "epoch": 0.07, + "learning_rate": 4.65625e-05, + "loss": 1.7031, + "step": 275 + }, + { + "epoch": 0.07, + "learning_rate": 4.655000000000001e-05, + "loss": 1.2695, + "step": 276 + }, + { + "epoch": 0.07, + "learning_rate": 4.65375e-05, + "loss": 1.542, + "step": 277 + }, + { + "epoch": 0.07, + "learning_rate": 4.6525e-05, + "loss": 1.1553, + "step": 278 + }, + { + "epoch": 0.07, + "learning_rate": 4.6512500000000006e-05, + "loss": 1.0557, + "step": 279 + }, + { + "epoch": 0.07, + "learning_rate": 4.6500000000000005e-05, + "loss": 1.2744, + "step": 280 + }, + { + "epoch": 0.07, + "learning_rate": 4.64875e-05, + "loss": 1.3486, + "step": 281 + }, + { + "epoch": 0.07, + "learning_rate": 4.6475000000000005e-05, + "loss": 1.2207, + "step": 282 + }, + { + "epoch": 0.07, + "learning_rate": 4.6462500000000005e-05, + "loss": 1.3057, + "step": 283 + }, + { + "epoch": 0.07, + "learning_rate": 4.6450000000000004e-05, + "loss": 1.3584, + "step": 284 + }, + { + "epoch": 0.07, + "learning_rate": 4.64375e-05, + "loss": 1.3965, + "step": 285 + }, + { + "epoch": 0.07, + "learning_rate": 4.6425000000000004e-05, + "loss": 1.5166, + "step": 286 + }, + { + "epoch": 0.07, + "learning_rate": 4.64125e-05, + "loss": 1.3701, + "step": 287 + }, + { + "epoch": 0.07, + "learning_rate": 4.64e-05, + "loss": 1.417, + "step": 288 + }, + { + "epoch": 0.07, + "learning_rate": 4.63875e-05, + "loss": 1.3125, + "step": 289 + }, + { + "epoch": 0.07, + "learning_rate": 4.6375e-05, + "loss": 1.1885, + "step": 290 + }, + { + "epoch": 0.07, + "learning_rate": 4.63625e-05, + "loss": 1.2764, + "step": 291 + }, + { + "epoch": 0.07, + "learning_rate": 4.635e-05, + "loss": 1.333, + "step": 292 + }, + { + "epoch": 0.07, + "learning_rate": 4.63375e-05, + "loss": 1.6396, + "step": 293 + }, + { + "epoch": 0.07, + "learning_rate": 4.6325e-05, + "loss": 1.3408, + "step": 294 + }, + { + "epoch": 0.07, + "learning_rate": 4.63125e-05, + "loss": 1.3779, + "step": 295 + }, + { + "epoch": 0.07, + "learning_rate": 4.630000000000001e-05, + "loss": 1.54, + "step": 296 + }, + { + "epoch": 0.07, + "learning_rate": 4.62875e-05, + "loss": 1.1768, + "step": 297 + }, + { + "epoch": 0.07, + "learning_rate": 4.6275e-05, + "loss": 1.25, + "step": 298 + }, + { + "epoch": 0.07, + "learning_rate": 4.6262500000000006e-05, + "loss": 1.2793, + "step": 299 + }, + { + "epoch": 0.07, + "learning_rate": 4.6250000000000006e-05, + "loss": 1.332, + "step": 300 + }, + { + "epoch": 0.08, + "learning_rate": 4.62375e-05, + "loss": 1.0869, + "step": 301 + }, + { + "epoch": 0.08, + "learning_rate": 4.6225e-05, + "loss": 1.4512, + "step": 302 + }, + { + "epoch": 0.08, + "learning_rate": 4.6212500000000005e-05, + "loss": 1.2168, + "step": 303 + }, + { + "epoch": 0.08, + "learning_rate": 4.6200000000000005e-05, + "loss": 1.2324, + "step": 304 + }, + { + "epoch": 0.08, + "learning_rate": 4.61875e-05, + "loss": 1.3076, + "step": 305 + }, + { + "epoch": 0.08, + "learning_rate": 4.6175000000000004e-05, + "loss": 1.1533, + "step": 306 + }, + { + "epoch": 0.08, + "learning_rate": 4.6162500000000004e-05, + "loss": 1.1777, + "step": 307 + }, + { + "epoch": 0.08, + "learning_rate": 4.6150000000000004e-05, + "loss": 1.3359, + "step": 308 + }, + { + "epoch": 0.08, + "learning_rate": 4.61375e-05, + "loss": 1.2051, + "step": 309 + }, + { + "epoch": 0.08, + "learning_rate": 4.6125e-05, + "loss": 1.2773, + "step": 310 + }, + { + "epoch": 0.08, + "learning_rate": 4.61125e-05, + "loss": 1.04, + "step": 311 + }, + { + "epoch": 0.08, + "learning_rate": 4.61e-05, + "loss": 1.1514, + "step": 312 + }, + { + "epoch": 0.08, + "learning_rate": 4.60875e-05, + "loss": 1.1631, + "step": 313 + }, + { + "epoch": 0.08, + "learning_rate": 4.6075e-05, + "loss": 1.3125, + "step": 314 + }, + { + "epoch": 0.08, + "learning_rate": 4.60625e-05, + "loss": 1.4102, + "step": 315 + }, + { + "epoch": 0.08, + "learning_rate": 4.605e-05, + "loss": 1.043, + "step": 316 + }, + { + "epoch": 0.08, + "learning_rate": 4.60375e-05, + "loss": 1.1963, + "step": 317 + }, + { + "epoch": 0.08, + "learning_rate": 4.6025e-05, + "loss": 1.208, + "step": 318 + }, + { + "epoch": 0.08, + "learning_rate": 4.60125e-05, + "loss": 1.4785, + "step": 319 + }, + { + "epoch": 0.08, + "learning_rate": 4.600000000000001e-05, + "loss": 1.1035, + "step": 320 + }, + { + "epoch": 0.08, + "learning_rate": 4.59875e-05, + "loss": 1.2012, + "step": 321 + }, + { + "epoch": 0.08, + "learning_rate": 4.5975e-05, + "loss": 1.3223, + "step": 322 + }, + { + "epoch": 0.08, + "learning_rate": 4.5962500000000006e-05, + "loss": 1.3545, + "step": 323 + }, + { + "epoch": 0.08, + "learning_rate": 4.5950000000000006e-05, + "loss": 1.1611, + "step": 324 + }, + { + "epoch": 0.08, + "learning_rate": 4.59375e-05, + "loss": 1.0781, + "step": 325 + }, + { + "epoch": 0.08, + "learning_rate": 4.5925e-05, + "loss": 1.3135, + "step": 326 + }, + { + "epoch": 0.08, + "learning_rate": 4.5912500000000005e-05, + "loss": 1.1562, + "step": 327 + }, + { + "epoch": 0.08, + "learning_rate": 4.5900000000000004e-05, + "loss": 1.4414, + "step": 328 + }, + { + "epoch": 0.08, + "learning_rate": 4.58875e-05, + "loss": 1.1416, + "step": 329 + }, + { + "epoch": 0.08, + "learning_rate": 4.5875000000000004e-05, + "loss": 1.4316, + "step": 330 + }, + { + "epoch": 0.08, + "learning_rate": 4.5862500000000003e-05, + "loss": 1.1533, + "step": 331 + }, + { + "epoch": 0.08, + "learning_rate": 4.585e-05, + "loss": 1.3535, + "step": 332 + }, + { + "epoch": 0.08, + "learning_rate": 4.58375e-05, + "loss": 1.0029, + "step": 333 + }, + { + "epoch": 0.08, + "learning_rate": 4.5825e-05, + "loss": 1.459, + "step": 334 + }, + { + "epoch": 0.08, + "learning_rate": 4.58125e-05, + "loss": 1.2197, + "step": 335 + }, + { + "epoch": 0.08, + "learning_rate": 4.58e-05, + "loss": 1.3389, + "step": 336 + }, + { + "epoch": 0.08, + "learning_rate": 4.57875e-05, + "loss": 1.0547, + "step": 337 + }, + { + "epoch": 0.08, + "learning_rate": 4.5775e-05, + "loss": 1.1631, + "step": 338 + }, + { + "epoch": 0.08, + "learning_rate": 4.57625e-05, + "loss": 1.3916, + "step": 339 + }, + { + "epoch": 0.09, + "learning_rate": 4.575e-05, + "loss": 1.1836, + "step": 340 + }, + { + "epoch": 0.09, + "learning_rate": 4.57375e-05, + "loss": 1.3574, + "step": 341 + }, + { + "epoch": 0.09, + "learning_rate": 4.5725e-05, + "loss": 1.2012, + "step": 342 + }, + { + "epoch": 0.09, + "learning_rate": 4.57125e-05, + "loss": 1.4775, + "step": 343 + }, + { + "epoch": 0.09, + "learning_rate": 4.5700000000000006e-05, + "loss": 1.1055, + "step": 344 + }, + { + "epoch": 0.09, + "learning_rate": 4.56875e-05, + "loss": 1.2266, + "step": 345 + }, + { + "epoch": 0.09, + "learning_rate": 4.5675e-05, + "loss": 1.4209, + "step": 346 + }, + { + "epoch": 0.09, + "learning_rate": 4.5662500000000005e-05, + "loss": 1.2461, + "step": 347 + }, + { + "epoch": 0.09, + "learning_rate": 4.5650000000000005e-05, + "loss": 1.1318, + "step": 348 + }, + { + "epoch": 0.09, + "learning_rate": 4.56375e-05, + "loss": 1.2803, + "step": 349 + }, + { + "epoch": 0.09, + "learning_rate": 4.5625e-05, + "loss": 1.5684, + "step": 350 + }, + { + "epoch": 0.09, + "learning_rate": 4.5612500000000004e-05, + "loss": 1.0918, + "step": 351 + }, + { + "epoch": 0.09, + "learning_rate": 4.5600000000000004e-05, + "loss": 1.293, + "step": 352 + }, + { + "epoch": 0.09, + "learning_rate": 4.55875e-05, + "loss": 1.4717, + "step": 353 + }, + { + "epoch": 0.09, + "learning_rate": 4.5575e-05, + "loss": 1.0234, + "step": 354 + }, + { + "epoch": 0.09, + "learning_rate": 4.55625e-05, + "loss": 1.2119, + "step": 355 + }, + { + "epoch": 0.09, + "learning_rate": 4.555e-05, + "loss": 1.0752, + "step": 356 + }, + { + "epoch": 0.09, + "learning_rate": 4.55375e-05, + "loss": 1.0225, + "step": 357 + }, + { + "epoch": 0.09, + "learning_rate": 4.5525e-05, + "loss": 1.2529, + "step": 358 + }, + { + "epoch": 0.09, + "learning_rate": 4.55125e-05, + "loss": 1.2646, + "step": 359 + }, + { + "epoch": 0.09, + "learning_rate": 4.55e-05, + "loss": 1.5488, + "step": 360 + }, + { + "epoch": 0.09, + "learning_rate": 4.54875e-05, + "loss": 1.0527, + "step": 361 + }, + { + "epoch": 0.09, + "learning_rate": 4.5475e-05, + "loss": 1.5684, + "step": 362 + }, + { + "epoch": 0.09, + "learning_rate": 4.54625e-05, + "loss": 1.4316, + "step": 363 + }, + { + "epoch": 0.09, + "learning_rate": 4.545000000000001e-05, + "loss": 1.2217, + "step": 364 + }, + { + "epoch": 0.09, + "learning_rate": 4.54375e-05, + "loss": 1.2725, + "step": 365 + }, + { + "epoch": 0.09, + "learning_rate": 4.5425e-05, + "loss": 1.3457, + "step": 366 + }, + { + "epoch": 0.09, + "learning_rate": 4.54125e-05, + "loss": 1.2158, + "step": 367 + }, + { + "epoch": 0.09, + "learning_rate": 4.5400000000000006e-05, + "loss": 1.3408, + "step": 368 + }, + { + "epoch": 0.09, + "learning_rate": 4.53875e-05, + "loss": 1.2266, + "step": 369 + }, + { + "epoch": 0.09, + "learning_rate": 4.5375e-05, + "loss": 1.1924, + "step": 370 + }, + { + "epoch": 0.09, + "learning_rate": 4.5362500000000005e-05, + "loss": 1.4707, + "step": 371 + }, + { + "epoch": 0.09, + "learning_rate": 4.5350000000000005e-05, + "loss": 1.376, + "step": 372 + }, + { + "epoch": 0.09, + "learning_rate": 4.53375e-05, + "loss": 1.3232, + "step": 373 + }, + { + "epoch": 0.09, + "learning_rate": 4.5325000000000004e-05, + "loss": 1.2373, + "step": 374 + }, + { + "epoch": 0.09, + "learning_rate": 4.5312500000000004e-05, + "loss": 1.5205, + "step": 375 + }, + { + "epoch": 0.09, + "learning_rate": 4.53e-05, + "loss": 1.4629, + "step": 376 + }, + { + "epoch": 0.09, + "learning_rate": 4.52875e-05, + "loss": 1.3467, + "step": 377 + }, + { + "epoch": 0.09, + "learning_rate": 4.5275e-05, + "loss": 1.5684, + "step": 378 + }, + { + "epoch": 0.09, + "learning_rate": 4.52625e-05, + "loss": 1.0811, + "step": 379 + }, + { + "epoch": 0.1, + "learning_rate": 4.525e-05, + "loss": 1.5781, + "step": 380 + }, + { + "epoch": 0.1, + "learning_rate": 4.52375e-05, + "loss": 1.4307, + "step": 381 + }, + { + "epoch": 0.1, + "learning_rate": 4.5225e-05, + "loss": 1.1064, + "step": 382 + }, + { + "epoch": 0.1, + "learning_rate": 4.52125e-05, + "loss": 1.2891, + "step": 383 + }, + { + "epoch": 0.1, + "learning_rate": 4.52e-05, + "loss": 1.4316, + "step": 384 + }, + { + "epoch": 0.1, + "learning_rate": 4.518750000000001e-05, + "loss": 1.127, + "step": 385 + }, + { + "epoch": 0.1, + "learning_rate": 4.5175e-05, + "loss": 1.1426, + "step": 386 + }, + { + "epoch": 0.1, + "learning_rate": 4.51625e-05, + "loss": 0.9878, + "step": 387 + }, + { + "epoch": 0.1, + "learning_rate": 4.5150000000000006e-05, + "loss": 1.292, + "step": 388 + }, + { + "epoch": 0.1, + "learning_rate": 4.5137500000000006e-05, + "loss": 1.3682, + "step": 389 + }, + { + "epoch": 0.1, + "learning_rate": 4.5125e-05, + "loss": 1.4287, + "step": 390 + }, + { + "epoch": 0.1, + "learning_rate": 4.51125e-05, + "loss": 1.2559, + "step": 391 + }, + { + "epoch": 0.1, + "learning_rate": 4.5100000000000005e-05, + "loss": 1.0283, + "step": 392 + }, + { + "epoch": 0.1, + "learning_rate": 4.5087500000000005e-05, + "loss": 1.2031, + "step": 393 + }, + { + "epoch": 0.1, + "learning_rate": 4.5075e-05, + "loss": 1.2061, + "step": 394 + }, + { + "epoch": 0.1, + "learning_rate": 4.5062500000000004e-05, + "loss": 1.0732, + "step": 395 + }, + { + "epoch": 0.1, + "learning_rate": 4.5050000000000004e-05, + "loss": 1.4512, + "step": 396 + }, + { + "epoch": 0.1, + "learning_rate": 4.5037500000000004e-05, + "loss": 1.4785, + "step": 397 + }, + { + "epoch": 0.1, + "learning_rate": 4.5025000000000003e-05, + "loss": 1.2822, + "step": 398 + }, + { + "epoch": 0.1, + "learning_rate": 4.50125e-05, + "loss": 1.3174, + "step": 399 + }, + { + "epoch": 0.1, + "learning_rate": 4.5e-05, + "loss": 1.2061, + "step": 400 + }, + { + "epoch": 0.1, + "learning_rate": 4.49875e-05, + "loss": 1.3193, + "step": 401 + }, + { + "epoch": 0.1, + "learning_rate": 4.4975e-05, + "loss": 1.2627, + "step": 402 + }, + { + "epoch": 0.1, + "learning_rate": 4.49625e-05, + "loss": 1.249, + "step": 403 + }, + { + "epoch": 0.1, + "learning_rate": 4.495e-05, + "loss": 1.2891, + "step": 404 + }, + { + "epoch": 0.1, + "learning_rate": 4.49375e-05, + "loss": 1.4824, + "step": 405 + }, + { + "epoch": 0.1, + "learning_rate": 4.4925e-05, + "loss": 1.1689, + "step": 406 + }, + { + "epoch": 0.1, + "learning_rate": 4.49125e-05, + "loss": 1.1357, + "step": 407 + }, + { + "epoch": 0.1, + "learning_rate": 4.49e-05, + "loss": 1.5459, + "step": 408 + }, + { + "epoch": 0.1, + "learning_rate": 4.488750000000001e-05, + "loss": 1.2158, + "step": 409 + }, + { + "epoch": 0.1, + "learning_rate": 4.4875e-05, + "loss": 1.1572, + "step": 410 + }, + { + "epoch": 0.1, + "learning_rate": 4.48625e-05, + "loss": 1.5752, + "step": 411 + }, + { + "epoch": 0.1, + "learning_rate": 4.4850000000000006e-05, + "loss": 1.2451, + "step": 412 + }, + { + "epoch": 0.1, + "learning_rate": 4.4837500000000006e-05, + "loss": 0.9365, + "step": 413 + }, + { + "epoch": 0.1, + "learning_rate": 4.4825e-05, + "loss": 1.1738, + "step": 414 + }, + { + "epoch": 0.1, + "learning_rate": 4.4812500000000005e-05, + "loss": 1.252, + "step": 415 + }, + { + "epoch": 0.1, + "learning_rate": 4.4800000000000005e-05, + "loss": 1.3584, + "step": 416 + }, + { + "epoch": 0.1, + "learning_rate": 4.4787500000000004e-05, + "loss": 1.2285, + "step": 417 + }, + { + "epoch": 0.1, + "learning_rate": 4.4775e-05, + "loss": 1.4404, + "step": 418 + }, + { + "epoch": 0.1, + "learning_rate": 4.4762500000000004e-05, + "loss": 1.1992, + "step": 419 + }, + { + "epoch": 0.1, + "learning_rate": 4.4750000000000004e-05, + "loss": 1.2236, + "step": 420 + }, + { + "epoch": 0.11, + "learning_rate": 4.47375e-05, + "loss": 1.209, + "step": 421 + }, + { + "epoch": 0.11, + "learning_rate": 4.4725e-05, + "loss": 1.209, + "step": 422 + }, + { + "epoch": 0.11, + "learning_rate": 4.47125e-05, + "loss": 1.4463, + "step": 423 + }, + { + "epoch": 0.11, + "learning_rate": 4.47e-05, + "loss": 1.4355, + "step": 424 + }, + { + "epoch": 0.11, + "learning_rate": 4.46875e-05, + "loss": 1.4053, + "step": 425 + }, + { + "epoch": 0.11, + "learning_rate": 4.4675e-05, + "loss": 1.1777, + "step": 426 + }, + { + "epoch": 0.11, + "learning_rate": 4.46625e-05, + "loss": 1.4658, + "step": 427 + }, + { + "epoch": 0.11, + "learning_rate": 4.465e-05, + "loss": 1.1074, + "step": 428 + }, + { + "epoch": 0.11, + "learning_rate": 4.463750000000001e-05, + "loss": 1.3467, + "step": 429 + }, + { + "epoch": 0.11, + "learning_rate": 4.4625e-05, + "loss": 1.0342, + "step": 430 + }, + { + "epoch": 0.11, + "learning_rate": 4.46125e-05, + "loss": 1.2686, + "step": 431 + }, + { + "epoch": 0.11, + "learning_rate": 4.46e-05, + "loss": 1.3926, + "step": 432 + }, + { + "epoch": 0.11, + "learning_rate": 4.4587500000000006e-05, + "loss": 1.126, + "step": 433 + }, + { + "epoch": 0.11, + "learning_rate": 4.4575e-05, + "loss": 1.3516, + "step": 434 + }, + { + "epoch": 0.11, + "learning_rate": 4.45625e-05, + "loss": 1.3867, + "step": 435 + }, + { + "epoch": 0.11, + "learning_rate": 4.4550000000000005e-05, + "loss": 1.3232, + "step": 436 + }, + { + "epoch": 0.11, + "learning_rate": 4.4537500000000005e-05, + "loss": 1.2852, + "step": 437 + }, + { + "epoch": 0.11, + "learning_rate": 4.4525e-05, + "loss": 1.1914, + "step": 438 + }, + { + "epoch": 0.11, + "learning_rate": 4.4512500000000005e-05, + "loss": 1.5039, + "step": 439 + }, + { + "epoch": 0.11, + "learning_rate": 4.4500000000000004e-05, + "loss": 1.3691, + "step": 440 + }, + { + "epoch": 0.11, + "learning_rate": 4.4487500000000004e-05, + "loss": 1.0654, + "step": 441 + }, + { + "epoch": 0.11, + "learning_rate": 4.4475e-05, + "loss": 1.3164, + "step": 442 + }, + { + "epoch": 0.11, + "learning_rate": 4.44625e-05, + "loss": 1.0352, + "step": 443 + }, + { + "epoch": 0.11, + "learning_rate": 4.445e-05, + "loss": 1.376, + "step": 444 + }, + { + "epoch": 0.11, + "learning_rate": 4.44375e-05, + "loss": 1.5088, + "step": 445 + }, + { + "epoch": 0.11, + "learning_rate": 4.4425e-05, + "loss": 1.1826, + "step": 446 + }, + { + "epoch": 0.11, + "learning_rate": 4.44125e-05, + "loss": 1.4941, + "step": 447 + }, + { + "epoch": 0.11, + "learning_rate": 4.44e-05, + "loss": 1.1572, + "step": 448 + }, + { + "epoch": 0.11, + "learning_rate": 4.43875e-05, + "loss": 1.2783, + "step": 449 + }, + { + "epoch": 0.11, + "learning_rate": 4.4375e-05, + "loss": 1.4111, + "step": 450 + }, + { + "epoch": 0.11, + "learning_rate": 4.43625e-05, + "loss": 1.3936, + "step": 451 + }, + { + "epoch": 0.11, + "learning_rate": 4.435e-05, + "loss": 1.1445, + "step": 452 + }, + { + "epoch": 0.11, + "learning_rate": 4.433750000000001e-05, + "loss": 1.4277, + "step": 453 + }, + { + "epoch": 0.11, + "learning_rate": 4.4325e-05, + "loss": 1.3135, + "step": 454 + }, + { + "epoch": 0.11, + "learning_rate": 4.43125e-05, + "loss": 1.3232, + "step": 455 + }, + { + "epoch": 0.11, + "learning_rate": 4.43e-05, + "loss": 1.2715, + "step": 456 + }, + { + "epoch": 0.11, + "learning_rate": 4.4287500000000006e-05, + "loss": 1.2764, + "step": 457 + }, + { + "epoch": 0.11, + "learning_rate": 4.4275e-05, + "loss": 1.2959, + "step": 458 + }, + { + "epoch": 0.11, + "learning_rate": 4.42625e-05, + "loss": 1.4072, + "step": 459 + }, + { + "epoch": 0.12, + "learning_rate": 4.4250000000000005e-05, + "loss": 1.2031, + "step": 460 + }, + { + "epoch": 0.12, + "learning_rate": 4.4237500000000005e-05, + "loss": 1.4219, + "step": 461 + }, + { + "epoch": 0.12, + "learning_rate": 4.4225e-05, + "loss": 1.583, + "step": 462 + }, + { + "epoch": 0.12, + "learning_rate": 4.4212500000000004e-05, + "loss": 1.2705, + "step": 463 + }, + { + "epoch": 0.12, + "learning_rate": 4.4200000000000004e-05, + "loss": 1.4443, + "step": 464 + }, + { + "epoch": 0.12, + "learning_rate": 4.4187500000000003e-05, + "loss": 1.1699, + "step": 465 + }, + { + "epoch": 0.12, + "learning_rate": 4.4174999999999996e-05, + "loss": 1.541, + "step": 466 + }, + { + "epoch": 0.12, + "learning_rate": 4.41625e-05, + "loss": 1.3848, + "step": 467 + }, + { + "epoch": 0.12, + "learning_rate": 4.415e-05, + "loss": 1.292, + "step": 468 + }, + { + "epoch": 0.12, + "learning_rate": 4.41375e-05, + "loss": 1.0996, + "step": 469 + }, + { + "epoch": 0.12, + "learning_rate": 4.4125e-05, + "loss": 1.4707, + "step": 470 + }, + { + "epoch": 0.12, + "learning_rate": 4.41125e-05, + "loss": 1.5186, + "step": 471 + }, + { + "epoch": 0.12, + "learning_rate": 4.41e-05, + "loss": 1.1777, + "step": 472 + }, + { + "epoch": 0.12, + "learning_rate": 4.40875e-05, + "loss": 1.5342, + "step": 473 + }, + { + "epoch": 0.12, + "learning_rate": 4.4075e-05, + "loss": 1.2832, + "step": 474 + }, + { + "epoch": 0.12, + "learning_rate": 4.40625e-05, + "loss": 1.3271, + "step": 475 + }, + { + "epoch": 0.12, + "learning_rate": 4.405e-05, + "loss": 1.2939, + "step": 476 + }, + { + "epoch": 0.12, + "learning_rate": 4.4037500000000007e-05, + "loss": 1.3086, + "step": 477 + }, + { + "epoch": 0.12, + "learning_rate": 4.4025e-05, + "loss": 1.2793, + "step": 478 + }, + { + "epoch": 0.12, + "learning_rate": 4.40125e-05, + "loss": 1.2842, + "step": 479 + }, + { + "epoch": 0.12, + "learning_rate": 4.4000000000000006e-05, + "loss": 1.4668, + "step": 480 + }, + { + "epoch": 0.12, + "learning_rate": 4.3987500000000005e-05, + "loss": 1.1406, + "step": 481 + }, + { + "epoch": 0.12, + "learning_rate": 4.3975e-05, + "loss": 1.4277, + "step": 482 + }, + { + "epoch": 0.12, + "learning_rate": 4.39625e-05, + "loss": 1.2314, + "step": 483 + }, + { + "epoch": 0.12, + "learning_rate": 4.3950000000000004e-05, + "loss": 1.3584, + "step": 484 + }, + { + "epoch": 0.12, + "learning_rate": 4.3937500000000004e-05, + "loss": 1.1367, + "step": 485 + }, + { + "epoch": 0.12, + "learning_rate": 4.3925e-05, + "loss": 1.2666, + "step": 486 + }, + { + "epoch": 0.12, + "learning_rate": 4.3912500000000004e-05, + "loss": 1.1221, + "step": 487 + }, + { + "epoch": 0.12, + "learning_rate": 4.39e-05, + "loss": 1.4053, + "step": 488 + }, + { + "epoch": 0.12, + "learning_rate": 4.38875e-05, + "loss": 1.6719, + "step": 489 + }, + { + "epoch": 0.12, + "learning_rate": 4.3875e-05, + "loss": 1.001, + "step": 490 + }, + { + "epoch": 0.12, + "learning_rate": 4.38625e-05, + "loss": 1.3086, + "step": 491 + }, + { + "epoch": 0.12, + "learning_rate": 4.385e-05, + "loss": 1.2441, + "step": 492 + }, + { + "epoch": 0.12, + "learning_rate": 4.38375e-05, + "loss": 1.3564, + "step": 493 + }, + { + "epoch": 0.12, + "learning_rate": 4.3825e-05, + "loss": 1.207, + "step": 494 + }, + { + "epoch": 0.12, + "learning_rate": 4.38125e-05, + "loss": 1.1133, + "step": 495 + }, + { + "epoch": 0.12, + "learning_rate": 4.38e-05, + "loss": 1.1826, + "step": 496 + }, + { + "epoch": 0.12, + "learning_rate": 4.37875e-05, + "loss": 1.0186, + "step": 497 + }, + { + "epoch": 0.12, + "learning_rate": 4.3775e-05, + "loss": 1.457, + "step": 498 + }, + { + "epoch": 0.12, + "learning_rate": 4.37625e-05, + "loss": 1.2441, + "step": 499 + }, + { + "epoch": 0.12, + "learning_rate": 4.375e-05, + "loss": 1.4072, + "step": 500 + }, + { + "epoch": 0.13, + "learning_rate": 4.3737500000000006e-05, + "loss": 1.5332, + "step": 501 + }, + { + "epoch": 0.13, + "learning_rate": 4.3725000000000006e-05, + "loss": 1.3984, + "step": 502 + }, + { + "epoch": 0.13, + "learning_rate": 4.37125e-05, + "loss": 1.6494, + "step": 503 + }, + { + "epoch": 0.13, + "learning_rate": 4.3700000000000005e-05, + "loss": 1.4189, + "step": 504 + }, + { + "epoch": 0.13, + "learning_rate": 4.3687500000000005e-05, + "loss": 1.4746, + "step": 505 + }, + { + "epoch": 0.13, + "learning_rate": 4.3675000000000005e-05, + "loss": 1.3496, + "step": 506 + }, + { + "epoch": 0.13, + "learning_rate": 4.36625e-05, + "loss": 1.3467, + "step": 507 + }, + { + "epoch": 0.13, + "learning_rate": 4.3650000000000004e-05, + "loss": 1.2197, + "step": 508 + }, + { + "epoch": 0.13, + "learning_rate": 4.3637500000000004e-05, + "loss": 1.2158, + "step": 509 + }, + { + "epoch": 0.13, + "learning_rate": 4.3625e-05, + "loss": 1.4854, + "step": 510 + }, + { + "epoch": 0.13, + "learning_rate": 4.36125e-05, + "loss": 1.3701, + "step": 511 + }, + { + "epoch": 0.13, + "learning_rate": 4.36e-05, + "loss": 1.1279, + "step": 512 + }, + { + "epoch": 0.13, + "learning_rate": 4.35875e-05, + "loss": 1.1768, + "step": 513 + }, + { + "epoch": 0.13, + "learning_rate": 4.3575e-05, + "loss": 1.1729, + "step": 514 + }, + { + "epoch": 0.13, + "learning_rate": 4.35625e-05, + "loss": 1.126, + "step": 515 + }, + { + "epoch": 0.13, + "learning_rate": 4.355e-05, + "loss": 1.0459, + "step": 516 + }, + { + "epoch": 0.13, + "learning_rate": 4.35375e-05, + "loss": 1.4668, + "step": 517 + }, + { + "epoch": 0.13, + "learning_rate": 4.352500000000001e-05, + "loss": 1.3389, + "step": 518 + }, + { + "epoch": 0.13, + "learning_rate": 4.35125e-05, + "loss": 1.2412, + "step": 519 + }, + { + "epoch": 0.13, + "learning_rate": 4.35e-05, + "loss": 1.4082, + "step": 520 + }, + { + "epoch": 0.13, + "learning_rate": 4.34875e-05, + "loss": 1.2871, + "step": 521 + }, + { + "epoch": 0.13, + "learning_rate": 4.3475000000000006e-05, + "loss": 1.207, + "step": 522 + }, + { + "epoch": 0.13, + "learning_rate": 4.34625e-05, + "loss": 1.3369, + "step": 523 + }, + { + "epoch": 0.13, + "learning_rate": 4.345e-05, + "loss": 1.4238, + "step": 524 + }, + { + "epoch": 0.13, + "learning_rate": 4.3437500000000006e-05, + "loss": 1.1016, + "step": 525 + }, + { + "epoch": 0.13, + "learning_rate": 4.3425000000000005e-05, + "loss": 1.458, + "step": 526 + }, + { + "epoch": 0.13, + "learning_rate": 4.34125e-05, + "loss": 1.3125, + "step": 527 + }, + { + "epoch": 0.13, + "learning_rate": 4.3400000000000005e-05, + "loss": 1.1562, + "step": 528 + }, + { + "epoch": 0.13, + "learning_rate": 4.3387500000000004e-05, + "loss": 1.2529, + "step": 529 + }, + { + "epoch": 0.13, + "learning_rate": 4.3375000000000004e-05, + "loss": 1.3555, + "step": 530 + }, + { + "epoch": 0.13, + "learning_rate": 4.3362500000000004e-05, + "loss": 1.501, + "step": 531 + }, + { + "epoch": 0.13, + "learning_rate": 4.335e-05, + "loss": 1.4688, + "step": 532 + }, + { + "epoch": 0.13, + "learning_rate": 4.33375e-05, + "loss": 1.1377, + "step": 533 + }, + { + "epoch": 0.13, + "learning_rate": 4.3325e-05, + "loss": 1.3271, + "step": 534 + }, + { + "epoch": 0.13, + "learning_rate": 4.33125e-05, + "loss": 1.2324, + "step": 535 + }, + { + "epoch": 0.13, + "learning_rate": 4.33e-05, + "loss": 1.374, + "step": 536 + }, + { + "epoch": 0.13, + "learning_rate": 4.32875e-05, + "loss": 1.1279, + "step": 537 + }, + { + "epoch": 0.13, + "learning_rate": 4.3275e-05, + "loss": 1.2637, + "step": 538 + }, + { + "epoch": 0.13, + "learning_rate": 4.32625e-05, + "loss": 1.3164, + "step": 539 + }, + { + "epoch": 0.14, + "learning_rate": 4.325e-05, + "loss": 1.416, + "step": 540 + }, + { + "epoch": 0.14, + "learning_rate": 4.32375e-05, + "loss": 1.1104, + "step": 541 + }, + { + "epoch": 0.14, + "learning_rate": 4.322500000000001e-05, + "loss": 1.2178, + "step": 542 + }, + { + "epoch": 0.14, + "learning_rate": 4.32125e-05, + "loss": 1.6201, + "step": 543 + }, + { + "epoch": 0.14, + "learning_rate": 4.32e-05, + "loss": 0.8984, + "step": 544 + }, + { + "epoch": 0.14, + "learning_rate": 4.3187500000000006e-05, + "loss": 1.2275, + "step": 545 + }, + { + "epoch": 0.14, + "learning_rate": 4.3175000000000006e-05, + "loss": 1.2236, + "step": 546 + }, + { + "epoch": 0.14, + "learning_rate": 4.31625e-05, + "loss": 1.3203, + "step": 547 + }, + { + "epoch": 0.14, + "learning_rate": 4.315e-05, + "loss": 1.417, + "step": 548 + }, + { + "epoch": 0.14, + "learning_rate": 4.3137500000000005e-05, + "loss": 1.2295, + "step": 549 + }, + { + "epoch": 0.14, + "learning_rate": 4.3125000000000005e-05, + "loss": 1.3818, + "step": 550 + }, + { + "epoch": 0.14, + "learning_rate": 4.31125e-05, + "loss": 1.165, + "step": 551 + }, + { + "epoch": 0.14, + "learning_rate": 4.3100000000000004e-05, + "loss": 1.1357, + "step": 552 + }, + { + "epoch": 0.14, + "learning_rate": 4.3087500000000004e-05, + "loss": 1.3281, + "step": 553 + }, + { + "epoch": 0.14, + "learning_rate": 4.3075000000000003e-05, + "loss": 0.978, + "step": 554 + }, + { + "epoch": 0.14, + "learning_rate": 4.30625e-05, + "loss": 1.1201, + "step": 555 + }, + { + "epoch": 0.14, + "learning_rate": 4.305e-05, + "loss": 1.0879, + "step": 556 + }, + { + "epoch": 0.14, + "learning_rate": 4.30375e-05, + "loss": 1.3799, + "step": 557 + }, + { + "epoch": 0.14, + "learning_rate": 4.3025e-05, + "loss": 1.1758, + "step": 558 + }, + { + "epoch": 0.14, + "learning_rate": 4.30125e-05, + "loss": 1.1475, + "step": 559 + }, + { + "epoch": 0.14, + "learning_rate": 4.3e-05, + "loss": 1.5498, + "step": 560 + }, + { + "epoch": 0.14, + "learning_rate": 4.29875e-05, + "loss": 1.542, + "step": 561 + }, + { + "epoch": 0.14, + "learning_rate": 4.2975e-05, + "loss": 1.4219, + "step": 562 + }, + { + "epoch": 0.14, + "learning_rate": 4.29625e-05, + "loss": 0.9238, + "step": 563 + }, + { + "epoch": 0.14, + "learning_rate": 4.295e-05, + "loss": 1.376, + "step": 564 + }, + { + "epoch": 0.14, + "learning_rate": 4.29375e-05, + "loss": 1.168, + "step": 565 + }, + { + "epoch": 0.14, + "learning_rate": 4.2925000000000007e-05, + "loss": 1.3701, + "step": 566 + }, + { + "epoch": 0.14, + "learning_rate": 4.29125e-05, + "loss": 1.4023, + "step": 567 + }, + { + "epoch": 0.14, + "learning_rate": 4.29e-05, + "loss": 1.166, + "step": 568 + }, + { + "epoch": 0.14, + "learning_rate": 4.2887500000000006e-05, + "loss": 1.4551, + "step": 569 + }, + { + "epoch": 0.14, + "learning_rate": 4.2875000000000005e-05, + "loss": 1.1826, + "step": 570 + }, + { + "epoch": 0.14, + "learning_rate": 4.28625e-05, + "loss": 1.2969, + "step": 571 + }, + { + "epoch": 0.14, + "learning_rate": 4.285e-05, + "loss": 1.3623, + "step": 572 + }, + { + "epoch": 0.14, + "learning_rate": 4.2837500000000004e-05, + "loss": 1.501, + "step": 573 + }, + { + "epoch": 0.14, + "learning_rate": 4.2825000000000004e-05, + "loss": 1.4375, + "step": 574 + }, + { + "epoch": 0.14, + "learning_rate": 4.28125e-05, + "loss": 1.1934, + "step": 575 + }, + { + "epoch": 0.14, + "learning_rate": 4.2800000000000004e-05, + "loss": 1.5117, + "step": 576 + }, + { + "epoch": 0.14, + "learning_rate": 4.27875e-05, + "loss": 1.2471, + "step": 577 + }, + { + "epoch": 0.14, + "learning_rate": 4.2775e-05, + "loss": 1.3838, + "step": 578 + }, + { + "epoch": 0.14, + "learning_rate": 4.27625e-05, + "loss": 1.0117, + "step": 579 + }, + { + "epoch": 0.14, + "learning_rate": 4.275e-05, + "loss": 1.3994, + "step": 580 + }, + { + "epoch": 0.15, + "learning_rate": 4.27375e-05, + "loss": 1.2607, + "step": 581 + }, + { + "epoch": 0.15, + "learning_rate": 4.2725e-05, + "loss": 1.4033, + "step": 582 + }, + { + "epoch": 0.15, + "learning_rate": 4.27125e-05, + "loss": 1.2227, + "step": 583 + }, + { + "epoch": 0.15, + "learning_rate": 4.27e-05, + "loss": 1.3828, + "step": 584 + }, + { + "epoch": 0.15, + "learning_rate": 4.26875e-05, + "loss": 1.4297, + "step": 585 + }, + { + "epoch": 0.15, + "learning_rate": 4.2675e-05, + "loss": 1.3857, + "step": 586 + }, + { + "epoch": 0.15, + "learning_rate": 4.26625e-05, + "loss": 1.4033, + "step": 587 + }, + { + "epoch": 0.15, + "learning_rate": 4.265e-05, + "loss": 1.4385, + "step": 588 + }, + { + "epoch": 0.15, + "learning_rate": 4.26375e-05, + "loss": 1.2217, + "step": 589 + }, + { + "epoch": 0.15, + "learning_rate": 4.2625000000000006e-05, + "loss": 1.2363, + "step": 590 + }, + { + "epoch": 0.15, + "learning_rate": 4.26125e-05, + "loss": 1.1133, + "step": 591 + }, + { + "epoch": 0.15, + "learning_rate": 4.26e-05, + "loss": 1.2666, + "step": 592 + }, + { + "epoch": 0.15, + "learning_rate": 4.2587500000000005e-05, + "loss": 1.1016, + "step": 593 + }, + { + "epoch": 0.15, + "learning_rate": 4.2575000000000005e-05, + "loss": 1.3369, + "step": 594 + }, + { + "epoch": 0.15, + "learning_rate": 4.25625e-05, + "loss": 1.2334, + "step": 595 + }, + { + "epoch": 0.15, + "learning_rate": 4.2550000000000004e-05, + "loss": 1.1436, + "step": 596 + }, + { + "epoch": 0.15, + "learning_rate": 4.2537500000000004e-05, + "loss": 1.4053, + "step": 597 + }, + { + "epoch": 0.15, + "learning_rate": 4.2525000000000004e-05, + "loss": 1.3672, + "step": 598 + }, + { + "epoch": 0.15, + "learning_rate": 4.2512499999999997e-05, + "loss": 1.1807, + "step": 599 + }, + { + "epoch": 0.15, + "learning_rate": 4.25e-05, + "loss": 1.29, + "step": 600 + }, + { + "epoch": 0.15, + "learning_rate": 4.24875e-05, + "loss": 1.2959, + "step": 601 + }, + { + "epoch": 0.15, + "learning_rate": 4.2475e-05, + "loss": 1.3135, + "step": 602 + }, + { + "epoch": 0.15, + "learning_rate": 4.24625e-05, + "loss": 1.0537, + "step": 603 + }, + { + "epoch": 0.15, + "learning_rate": 4.245e-05, + "loss": 1.3936, + "step": 604 + }, + { + "epoch": 0.15, + "learning_rate": 4.24375e-05, + "loss": 1.4893, + "step": 605 + }, + { + "epoch": 0.15, + "learning_rate": 4.2425e-05, + "loss": 1.3486, + "step": 606 + }, + { + "epoch": 0.15, + "learning_rate": 4.24125e-05, + "loss": 1.3818, + "step": 607 + }, + { + "epoch": 0.15, + "learning_rate": 4.24e-05, + "loss": 1.1475, + "step": 608 + }, + { + "epoch": 0.15, + "learning_rate": 4.23875e-05, + "loss": 1.5996, + "step": 609 + }, + { + "epoch": 0.15, + "learning_rate": 4.237500000000001e-05, + "loss": 1.2461, + "step": 610 + }, + { + "epoch": 0.15, + "learning_rate": 4.23625e-05, + "loss": 1.2969, + "step": 611 + }, + { + "epoch": 0.15, + "learning_rate": 4.235e-05, + "loss": 1.3809, + "step": 612 + }, + { + "epoch": 0.15, + "learning_rate": 4.23375e-05, + "loss": 1.3838, + "step": 613 + }, + { + "epoch": 0.15, + "learning_rate": 4.2325000000000006e-05, + "loss": 1.4326, + "step": 614 + }, + { + "epoch": 0.15, + "learning_rate": 4.23125e-05, + "loss": 1.3594, + "step": 615 + }, + { + "epoch": 0.15, + "learning_rate": 4.23e-05, + "loss": 1.4141, + "step": 616 + }, + { + "epoch": 0.15, + "learning_rate": 4.2287500000000005e-05, + "loss": 1.4209, + "step": 617 + }, + { + "epoch": 0.15, + "learning_rate": 4.2275000000000004e-05, + "loss": 0.9873, + "step": 618 + }, + { + "epoch": 0.15, + "learning_rate": 4.22625e-05, + "loss": 1.2969, + "step": 619 + }, + { + "epoch": 0.15, + "learning_rate": 4.2250000000000004e-05, + "loss": 1.335, + "step": 620 + }, + { + "epoch": 0.16, + "learning_rate": 4.2237500000000003e-05, + "loss": 1.4209, + "step": 621 + }, + { + "epoch": 0.16, + "learning_rate": 4.2225e-05, + "loss": 1.3428, + "step": 622 + }, + { + "epoch": 0.16, + "learning_rate": 4.2212499999999996e-05, + "loss": 1.3164, + "step": 623 + }, + { + "epoch": 0.16, + "learning_rate": 4.22e-05, + "loss": 1.3496, + "step": 624 + }, + { + "epoch": 0.16, + "learning_rate": 4.21875e-05, + "loss": 1.5195, + "step": 625 + }, + { + "epoch": 0.16, + "learning_rate": 4.2175e-05, + "loss": 1.1328, + "step": 626 + }, + { + "epoch": 0.16, + "learning_rate": 4.21625e-05, + "loss": 1.1055, + "step": 627 + }, + { + "epoch": 0.16, + "learning_rate": 4.215e-05, + "loss": 1.2881, + "step": 628 + }, + { + "epoch": 0.16, + "learning_rate": 4.21375e-05, + "loss": 1.4551, + "step": 629 + }, + { + "epoch": 0.16, + "learning_rate": 4.2125e-05, + "loss": 1.252, + "step": 630 + }, + { + "epoch": 0.16, + "learning_rate": 4.211250000000001e-05, + "loss": 1.3984, + "step": 631 + }, + { + "epoch": 0.16, + "learning_rate": 4.21e-05, + "loss": 1.2285, + "step": 632 + }, + { + "epoch": 0.16, + "learning_rate": 4.20875e-05, + "loss": 1.1992, + "step": 633 + }, + { + "epoch": 0.16, + "learning_rate": 4.2075000000000006e-05, + "loss": 1.2168, + "step": 634 + }, + { + "epoch": 0.16, + "learning_rate": 4.2062500000000006e-05, + "loss": 1.0996, + "step": 635 + }, + { + "epoch": 0.16, + "learning_rate": 4.205e-05, + "loss": 1.2461, + "step": 636 + }, + { + "epoch": 0.16, + "learning_rate": 4.20375e-05, + "loss": 1.1836, + "step": 637 + }, + { + "epoch": 0.16, + "learning_rate": 4.2025000000000005e-05, + "loss": 1.3779, + "step": 638 + }, + { + "epoch": 0.16, + "learning_rate": 4.2012500000000005e-05, + "loss": 1.0488, + "step": 639 + }, + { + "epoch": 0.16, + "learning_rate": 4.2e-05, + "loss": 1.1758, + "step": 640 + }, + { + "epoch": 0.16, + "learning_rate": 4.1987500000000004e-05, + "loss": 1.2461, + "step": 641 + }, + { + "epoch": 0.16, + "learning_rate": 4.1975000000000004e-05, + "loss": 1.501, + "step": 642 + }, + { + "epoch": 0.16, + "learning_rate": 4.1962500000000004e-05, + "loss": 1.3477, + "step": 643 + }, + { + "epoch": 0.16, + "learning_rate": 4.195e-05, + "loss": 0.9019, + "step": 644 + }, + { + "epoch": 0.16, + "learning_rate": 4.19375e-05, + "loss": 0.9839, + "step": 645 + }, + { + "epoch": 0.16, + "learning_rate": 4.1925e-05, + "loss": 1.0068, + "step": 646 + }, + { + "epoch": 0.16, + "learning_rate": 4.19125e-05, + "loss": 1.3271, + "step": 647 + }, + { + "epoch": 0.16, + "learning_rate": 4.19e-05, + "loss": 1.4053, + "step": 648 + }, + { + "epoch": 0.16, + "learning_rate": 4.18875e-05, + "loss": 1.2344, + "step": 649 + }, + { + "epoch": 0.16, + "learning_rate": 4.1875e-05, + "loss": 1.2715, + "step": 650 + }, + { + "epoch": 0.16, + "learning_rate": 4.18625e-05, + "loss": 1.4316, + "step": 651 + }, + { + "epoch": 0.16, + "learning_rate": 4.185e-05, + "loss": 1.416, + "step": 652 + }, + { + "epoch": 0.16, + "learning_rate": 4.18375e-05, + "loss": 1.4365, + "step": 653 + }, + { + "epoch": 0.16, + "learning_rate": 4.1825e-05, + "loss": 1.1396, + "step": 654 + }, + { + "epoch": 0.16, + "learning_rate": 4.181250000000001e-05, + "loss": 1.1924, + "step": 655 + }, + { + "epoch": 0.16, + "learning_rate": 4.18e-05, + "loss": 1.3936, + "step": 656 + }, + { + "epoch": 0.16, + "learning_rate": 4.17875e-05, + "loss": 1.3506, + "step": 657 + }, + { + "epoch": 0.16, + "learning_rate": 4.1775000000000006e-05, + "loss": 1.0088, + "step": 658 + }, + { + "epoch": 0.16, + "learning_rate": 4.1762500000000005e-05, + "loss": 1.1816, + "step": 659 + }, + { + "epoch": 0.17, + "learning_rate": 4.175e-05, + "loss": 1.6641, + "step": 660 + }, + { + "epoch": 0.17, + "learning_rate": 4.1737500000000005e-05, + "loss": 1.2246, + "step": 661 + }, + { + "epoch": 0.17, + "learning_rate": 4.1725000000000005e-05, + "loss": 0.9917, + "step": 662 + }, + { + "epoch": 0.17, + "learning_rate": 4.1712500000000004e-05, + "loss": 1.5635, + "step": 663 + }, + { + "epoch": 0.17, + "learning_rate": 4.17e-05, + "loss": 1.458, + "step": 664 + }, + { + "epoch": 0.17, + "learning_rate": 4.1687500000000004e-05, + "loss": 1.3379, + "step": 665 + }, + { + "epoch": 0.17, + "learning_rate": 4.1675e-05, + "loss": 1.1113, + "step": 666 + }, + { + "epoch": 0.17, + "learning_rate": 4.16625e-05, + "loss": 1.5508, + "step": 667 + }, + { + "epoch": 0.17, + "learning_rate": 4.165e-05, + "loss": 1.2432, + "step": 668 + }, + { + "epoch": 0.17, + "learning_rate": 4.16375e-05, + "loss": 1.3447, + "step": 669 + }, + { + "epoch": 0.17, + "learning_rate": 4.1625e-05, + "loss": 1.4277, + "step": 670 + }, + { + "epoch": 0.17, + "learning_rate": 4.16125e-05, + "loss": 1.2617, + "step": 671 + }, + { + "epoch": 0.17, + "learning_rate": 4.16e-05, + "loss": 1.3252, + "step": 672 + }, + { + "epoch": 0.17, + "learning_rate": 4.15875e-05, + "loss": 1.5605, + "step": 673 + }, + { + "epoch": 0.17, + "learning_rate": 4.1575e-05, + "loss": 0.9463, + "step": 674 + }, + { + "epoch": 0.17, + "learning_rate": 4.156250000000001e-05, + "loss": 1.3691, + "step": 675 + }, + { + "epoch": 0.17, + "learning_rate": 4.155e-05, + "loss": 1.5068, + "step": 676 + }, + { + "epoch": 0.17, + "learning_rate": 4.15375e-05, + "loss": 1.3721, + "step": 677 + }, + { + "epoch": 0.17, + "learning_rate": 4.1525e-05, + "loss": 1.4199, + "step": 678 + }, + { + "epoch": 0.17, + "learning_rate": 4.1512500000000006e-05, + "loss": 1.502, + "step": 679 + }, + { + "epoch": 0.17, + "learning_rate": 4.15e-05, + "loss": 1.2637, + "step": 680 + }, + { + "epoch": 0.17, + "learning_rate": 4.14875e-05, + "loss": 1.0732, + "step": 681 + }, + { + "epoch": 0.17, + "learning_rate": 4.1475000000000005e-05, + "loss": 1.3799, + "step": 682 + }, + { + "epoch": 0.17, + "learning_rate": 4.1462500000000005e-05, + "loss": 1.0322, + "step": 683 + }, + { + "epoch": 0.17, + "learning_rate": 4.145e-05, + "loss": 1.5371, + "step": 684 + }, + { + "epoch": 0.17, + "learning_rate": 4.1437500000000004e-05, + "loss": 1.5928, + "step": 685 + }, + { + "epoch": 0.17, + "learning_rate": 4.1425000000000004e-05, + "loss": 1.373, + "step": 686 + }, + { + "epoch": 0.17, + "learning_rate": 4.1412500000000004e-05, + "loss": 1.4736, + "step": 687 + }, + { + "epoch": 0.17, + "learning_rate": 4.14e-05, + "loss": 1.1123, + "step": 688 + }, + { + "epoch": 0.17, + "learning_rate": 4.13875e-05, + "loss": 1.2568, + "step": 689 + }, + { + "epoch": 0.17, + "learning_rate": 4.1375e-05, + "loss": 1.6328, + "step": 690 + }, + { + "epoch": 0.17, + "learning_rate": 4.13625e-05, + "loss": 1.1602, + "step": 691 + }, + { + "epoch": 0.17, + "learning_rate": 4.135e-05, + "loss": 1.25, + "step": 692 + }, + { + "epoch": 0.17, + "learning_rate": 4.13375e-05, + "loss": 1.1611, + "step": 693 + }, + { + "epoch": 0.17, + "learning_rate": 4.1325e-05, + "loss": 1.208, + "step": 694 + }, + { + "epoch": 0.17, + "learning_rate": 4.13125e-05, + "loss": 1.4609, + "step": 695 + }, + { + "epoch": 0.17, + "learning_rate": 4.13e-05, + "loss": 1.1875, + "step": 696 + }, + { + "epoch": 0.17, + "learning_rate": 4.12875e-05, + "loss": 1.2285, + "step": 697 + }, + { + "epoch": 0.17, + "learning_rate": 4.1275e-05, + "loss": 1.3574, + "step": 698 + }, + { + "epoch": 0.17, + "learning_rate": 4.126250000000001e-05, + "loss": 1.1133, + "step": 699 + }, + { + "epoch": 0.17, + "learning_rate": 4.125e-05, + "loss": 1.1914, + "step": 700 + }, + { + "epoch": 0.18, + "learning_rate": 4.12375e-05, + "loss": 1.3809, + "step": 701 + }, + { + "epoch": 0.18, + "learning_rate": 4.1225e-05, + "loss": 1.4746, + "step": 702 + }, + { + "epoch": 0.18, + "learning_rate": 4.1212500000000006e-05, + "loss": 1.4023, + "step": 703 + }, + { + "epoch": 0.18, + "learning_rate": 4.12e-05, + "loss": 1.0762, + "step": 704 + }, + { + "epoch": 0.18, + "learning_rate": 4.11875e-05, + "loss": 1.4287, + "step": 705 + }, + { + "epoch": 0.18, + "learning_rate": 4.1175000000000005e-05, + "loss": 1.3496, + "step": 706 + }, + { + "epoch": 0.18, + "learning_rate": 4.1162500000000004e-05, + "loss": 1.1621, + "step": 707 + }, + { + "epoch": 0.18, + "learning_rate": 4.115e-05, + "loss": 1.1758, + "step": 708 + }, + { + "epoch": 0.18, + "learning_rate": 4.1137500000000004e-05, + "loss": 0.918, + "step": 709 + }, + { + "epoch": 0.18, + "learning_rate": 4.1125000000000004e-05, + "loss": 1.2559, + "step": 710 + }, + { + "epoch": 0.18, + "learning_rate": 4.11125e-05, + "loss": 1.2812, + "step": 711 + }, + { + "epoch": 0.18, + "learning_rate": 4.11e-05, + "loss": 1.3105, + "step": 712 + }, + { + "epoch": 0.18, + "learning_rate": 4.10875e-05, + "loss": 1.5576, + "step": 713 + }, + { + "epoch": 0.18, + "learning_rate": 4.1075e-05, + "loss": 1.123, + "step": 714 + }, + { + "epoch": 0.18, + "learning_rate": 4.10625e-05, + "loss": 1.1084, + "step": 715 + }, + { + "epoch": 0.18, + "learning_rate": 4.105e-05, + "loss": 1.4131, + "step": 716 + }, + { + "epoch": 0.18, + "learning_rate": 4.10375e-05, + "loss": 1.1846, + "step": 717 + }, + { + "epoch": 0.18, + "learning_rate": 4.1025e-05, + "loss": 1.2266, + "step": 718 + }, + { + "epoch": 0.18, + "learning_rate": 4.10125e-05, + "loss": 1.1758, + "step": 719 + }, + { + "epoch": 0.18, + "learning_rate": 4.1e-05, + "loss": 1.4951, + "step": 720 + }, + { + "epoch": 0.18, + "learning_rate": 4.09875e-05, + "loss": 1.1445, + "step": 721 + }, + { + "epoch": 0.18, + "learning_rate": 4.0975e-05, + "loss": 1.2363, + "step": 722 + }, + { + "epoch": 0.18, + "learning_rate": 4.0962500000000006e-05, + "loss": 1.4482, + "step": 723 + }, + { + "epoch": 0.18, + "learning_rate": 4.095e-05, + "loss": 1.1211, + "step": 724 + }, + { + "epoch": 0.18, + "learning_rate": 4.09375e-05, + "loss": 1.5625, + "step": 725 + }, + { + "epoch": 0.18, + "learning_rate": 4.0925000000000005e-05, + "loss": 1.375, + "step": 726 + }, + { + "epoch": 0.18, + "learning_rate": 4.0912500000000005e-05, + "loss": 1.1699, + "step": 727 + }, + { + "epoch": 0.18, + "learning_rate": 4.09e-05, + "loss": 1.5117, + "step": 728 + }, + { + "epoch": 0.18, + "learning_rate": 4.08875e-05, + "loss": 1.167, + "step": 729 + }, + { + "epoch": 0.18, + "learning_rate": 4.0875000000000004e-05, + "loss": 1.1299, + "step": 730 + }, + { + "epoch": 0.18, + "learning_rate": 4.0862500000000004e-05, + "loss": 1.4971, + "step": 731 + }, + { + "epoch": 0.18, + "learning_rate": 4.085e-05, + "loss": 1.2285, + "step": 732 + }, + { + "epoch": 0.18, + "learning_rate": 4.08375e-05, + "loss": 1.1797, + "step": 733 + }, + { + "epoch": 0.18, + "learning_rate": 4.0825e-05, + "loss": 1.1592, + "step": 734 + }, + { + "epoch": 0.18, + "learning_rate": 4.08125e-05, + "loss": 1.209, + "step": 735 + }, + { + "epoch": 0.18, + "learning_rate": 4.08e-05, + "loss": 1.3438, + "step": 736 + }, + { + "epoch": 0.18, + "learning_rate": 4.07875e-05, + "loss": 1.3096, + "step": 737 + }, + { + "epoch": 0.18, + "learning_rate": 4.0775e-05, + "loss": 1.2148, + "step": 738 + }, + { + "epoch": 0.18, + "learning_rate": 4.07625e-05, + "loss": 1.4014, + "step": 739 + }, + { + "epoch": 0.18, + "learning_rate": 4.075e-05, + "loss": 1.458, + "step": 740 + }, + { + "epoch": 0.19, + "learning_rate": 4.07375e-05, + "loss": 1.0186, + "step": 741 + }, + { + "epoch": 0.19, + "learning_rate": 4.0725e-05, + "loss": 1.3369, + "step": 742 + }, + { + "epoch": 0.19, + "learning_rate": 4.07125e-05, + "loss": 1.5264, + "step": 743 + }, + { + "epoch": 0.19, + "learning_rate": 4.07e-05, + "loss": 1.3477, + "step": 744 + }, + { + "epoch": 0.19, + "learning_rate": 4.06875e-05, + "loss": 1.3721, + "step": 745 + }, + { + "epoch": 0.19, + "learning_rate": 4.0675e-05, + "loss": 1.2207, + "step": 746 + }, + { + "epoch": 0.19, + "learning_rate": 4.0662500000000006e-05, + "loss": 1.3633, + "step": 747 + }, + { + "epoch": 0.19, + "learning_rate": 4.065e-05, + "loss": 1.2295, + "step": 748 + }, + { + "epoch": 0.19, + "learning_rate": 4.06375e-05, + "loss": 1.4932, + "step": 749 + }, + { + "epoch": 0.19, + "learning_rate": 4.0625000000000005e-05, + "loss": 1.2959, + "step": 750 + }, + { + "epoch": 0.19, + "learning_rate": 4.0612500000000005e-05, + "loss": 1.5557, + "step": 751 + }, + { + "epoch": 0.19, + "learning_rate": 4.0600000000000004e-05, + "loss": 1.1582, + "step": 752 + }, + { + "epoch": 0.19, + "learning_rate": 4.05875e-05, + "loss": 1.2197, + "step": 753 + }, + { + "epoch": 0.19, + "learning_rate": 4.0575000000000004e-05, + "loss": 1.2529, + "step": 754 + }, + { + "epoch": 0.19, + "learning_rate": 4.0562500000000003e-05, + "loss": 1.3789, + "step": 755 + }, + { + "epoch": 0.19, + "learning_rate": 4.055e-05, + "loss": 1.166, + "step": 756 + }, + { + "epoch": 0.19, + "learning_rate": 4.05375e-05, + "loss": 1.2803, + "step": 757 + }, + { + "epoch": 0.19, + "learning_rate": 4.0525e-05, + "loss": 1.2871, + "step": 758 + }, + { + "epoch": 0.19, + "learning_rate": 4.05125e-05, + "loss": 1.4541, + "step": 759 + }, + { + "epoch": 0.19, + "learning_rate": 4.05e-05, + "loss": 1.1025, + "step": 760 + }, + { + "epoch": 0.19, + "learning_rate": 4.04875e-05, + "loss": 1.1543, + "step": 761 + }, + { + "epoch": 0.19, + "learning_rate": 4.0475e-05, + "loss": 1.2422, + "step": 762 + }, + { + "epoch": 0.19, + "learning_rate": 4.04625e-05, + "loss": 1.3203, + "step": 763 + }, + { + "epoch": 0.19, + "learning_rate": 4.045000000000001e-05, + "loss": 0.9521, + "step": 764 + }, + { + "epoch": 0.19, + "learning_rate": 4.04375e-05, + "loss": 1.1641, + "step": 765 + }, + { + "epoch": 0.19, + "learning_rate": 4.0425e-05, + "loss": 1.4248, + "step": 766 + }, + { + "epoch": 0.19, + "learning_rate": 4.0412500000000007e-05, + "loss": 1.5068, + "step": 767 + }, + { + "epoch": 0.19, + "learning_rate": 4.0400000000000006e-05, + "loss": 1.1973, + "step": 768 + }, + { + "epoch": 0.19, + "learning_rate": 4.03875e-05, + "loss": 1.2461, + "step": 769 + }, + { + "epoch": 0.19, + "learning_rate": 4.0375e-05, + "loss": 1.3662, + "step": 770 + }, + { + "epoch": 0.19, + "learning_rate": 4.0362500000000005e-05, + "loss": 1.374, + "step": 771 + }, + { + "epoch": 0.19, + "learning_rate": 4.0350000000000005e-05, + "loss": 1.4375, + "step": 772 + }, + { + "epoch": 0.19, + "learning_rate": 4.03375e-05, + "loss": 1.0625, + "step": 773 + }, + { + "epoch": 0.19, + "learning_rate": 4.0325000000000004e-05, + "loss": 1.4922, + "step": 774 + }, + { + "epoch": 0.19, + "learning_rate": 4.0312500000000004e-05, + "loss": 1.0986, + "step": 775 + }, + { + "epoch": 0.19, + "learning_rate": 4.0300000000000004e-05, + "loss": 1.4023, + "step": 776 + }, + { + "epoch": 0.19, + "learning_rate": 4.0287500000000003e-05, + "loss": 1.0986, + "step": 777 + }, + { + "epoch": 0.19, + "learning_rate": 4.0275e-05, + "loss": 1.4121, + "step": 778 + }, + { + "epoch": 0.19, + "learning_rate": 4.02625e-05, + "loss": 1.2002, + "step": 779 + }, + { + "epoch": 0.2, + "learning_rate": 4.025e-05, + "loss": 1.2021, + "step": 780 + }, + { + "epoch": 0.2, + "learning_rate": 4.02375e-05, + "loss": 1.3281, + "step": 781 + }, + { + "epoch": 0.2, + "learning_rate": 4.0225e-05, + "loss": 1.1572, + "step": 782 + }, + { + "epoch": 0.2, + "learning_rate": 4.02125e-05, + "loss": 1.5605, + "step": 783 + }, + { + "epoch": 0.2, + "learning_rate": 4.02e-05, + "loss": 1.1787, + "step": 784 + }, + { + "epoch": 0.2, + "learning_rate": 4.01875e-05, + "loss": 0.9858, + "step": 785 + }, + { + "epoch": 0.2, + "learning_rate": 4.0175e-05, + "loss": 1.3232, + "step": 786 + }, + { + "epoch": 0.2, + "learning_rate": 4.01625e-05, + "loss": 1.0088, + "step": 787 + }, + { + "epoch": 0.2, + "learning_rate": 4.015000000000001e-05, + "loss": 1.332, + "step": 788 + }, + { + "epoch": 0.2, + "learning_rate": 4.01375e-05, + "loss": 1.2041, + "step": 789 + }, + { + "epoch": 0.2, + "learning_rate": 4.0125e-05, + "loss": 1.1553, + "step": 790 + }, + { + "epoch": 0.2, + "learning_rate": 4.0112500000000006e-05, + "loss": 1.375, + "step": 791 + }, + { + "epoch": 0.2, + "learning_rate": 4.0100000000000006e-05, + "loss": 1.4023, + "step": 792 + }, + { + "epoch": 0.2, + "learning_rate": 4.00875e-05, + "loss": 1.1025, + "step": 793 + }, + { + "epoch": 0.2, + "learning_rate": 4.0075e-05, + "loss": 1.3975, + "step": 794 + }, + { + "epoch": 0.2, + "learning_rate": 4.0062500000000005e-05, + "loss": 1.3955, + "step": 795 + }, + { + "epoch": 0.2, + "learning_rate": 4.0050000000000004e-05, + "loss": 1.2715, + "step": 796 + }, + { + "epoch": 0.2, + "learning_rate": 4.00375e-05, + "loss": 1.4873, + "step": 797 + }, + { + "epoch": 0.2, + "learning_rate": 4.0025000000000004e-05, + "loss": 1.249, + "step": 798 + }, + { + "epoch": 0.2, + "learning_rate": 4.0012500000000004e-05, + "loss": 1.2549, + "step": 799 + }, + { + "epoch": 0.2, + "learning_rate": 4e-05, + "loss": 1.3174, + "step": 800 + }, + { + "epoch": 0.2, + "learning_rate": 3.99875e-05, + "loss": 1.292, + "step": 801 + }, + { + "epoch": 0.2, + "learning_rate": 3.9975e-05, + "loss": 1.2256, + "step": 802 + }, + { + "epoch": 0.2, + "learning_rate": 3.99625e-05, + "loss": 1.5977, + "step": 803 + }, + { + "epoch": 0.2, + "learning_rate": 3.995e-05, + "loss": 1.3779, + "step": 804 + }, + { + "epoch": 0.2, + "learning_rate": 3.99375e-05, + "loss": 1.4854, + "step": 805 + }, + { + "epoch": 0.2, + "learning_rate": 3.9925e-05, + "loss": 0.9644, + "step": 806 + }, + { + "epoch": 0.2, + "learning_rate": 3.99125e-05, + "loss": 1.3379, + "step": 807 + }, + { + "epoch": 0.2, + "learning_rate": 3.99e-05, + "loss": 1.2783, + "step": 808 + }, + { + "epoch": 0.2, + "learning_rate": 3.98875e-05, + "loss": 1.1953, + "step": 809 + }, + { + "epoch": 0.2, + "learning_rate": 3.9875e-05, + "loss": 1.5205, + "step": 810 + }, + { + "epoch": 0.2, + "learning_rate": 3.98625e-05, + "loss": 1.1602, + "step": 811 + }, + { + "epoch": 0.2, + "learning_rate": 3.9850000000000006e-05, + "loss": 1.2871, + "step": 812 + }, + { + "epoch": 0.2, + "learning_rate": 3.98375e-05, + "loss": 1.1621, + "step": 813 + }, + { + "epoch": 0.2, + "learning_rate": 3.9825e-05, + "loss": 1.5674, + "step": 814 + }, + { + "epoch": 0.2, + "learning_rate": 3.9812500000000005e-05, + "loss": 1.1426, + "step": 815 + }, + { + "epoch": 0.2, + "learning_rate": 3.9800000000000005e-05, + "loss": 1.3682, + "step": 816 + }, + { + "epoch": 0.2, + "learning_rate": 3.97875e-05, + "loss": 1.2705, + "step": 817 + }, + { + "epoch": 0.2, + "learning_rate": 3.9775e-05, + "loss": 1.1943, + "step": 818 + }, + { + "epoch": 0.2, + "learning_rate": 3.9762500000000004e-05, + "loss": 1.4277, + "step": 819 + }, + { + "epoch": 0.2, + "learning_rate": 3.9750000000000004e-05, + "loss": 1.3457, + "step": 820 + }, + { + "epoch": 0.21, + "learning_rate": 3.97375e-05, + "loss": 1.1816, + "step": 821 + }, + { + "epoch": 0.21, + "learning_rate": 3.9725e-05, + "loss": 1.2783, + "step": 822 + }, + { + "epoch": 0.21, + "learning_rate": 3.97125e-05, + "loss": 1.293, + "step": 823 + }, + { + "epoch": 0.21, + "learning_rate": 3.97e-05, + "loss": 1.1768, + "step": 824 + }, + { + "epoch": 0.21, + "learning_rate": 3.96875e-05, + "loss": 1.1641, + "step": 825 + }, + { + "epoch": 0.21, + "learning_rate": 3.9675e-05, + "loss": 1.2686, + "step": 826 + }, + { + "epoch": 0.21, + "learning_rate": 3.96625e-05, + "loss": 1.4355, + "step": 827 + }, + { + "epoch": 0.21, + "learning_rate": 3.965e-05, + "loss": 1.291, + "step": 828 + }, + { + "epoch": 0.21, + "learning_rate": 3.96375e-05, + "loss": 1.3135, + "step": 829 + }, + { + "epoch": 0.21, + "learning_rate": 3.9625e-05, + "loss": 1.5332, + "step": 830 + }, + { + "epoch": 0.21, + "learning_rate": 3.96125e-05, + "loss": 1.374, + "step": 831 + }, + { + "epoch": 0.21, + "learning_rate": 3.960000000000001e-05, + "loss": 1.3359, + "step": 832 + }, + { + "epoch": 0.21, + "learning_rate": 3.95875e-05, + "loss": 1.3896, + "step": 833 + }, + { + "epoch": 0.21, + "learning_rate": 3.9575e-05, + "loss": 1.4287, + "step": 834 + }, + { + "epoch": 0.21, + "learning_rate": 3.95625e-05, + "loss": 1.251, + "step": 835 + }, + { + "epoch": 0.21, + "learning_rate": 3.9550000000000006e-05, + "loss": 1.082, + "step": 836 + }, + { + "epoch": 0.21, + "learning_rate": 3.95375e-05, + "loss": 1.2666, + "step": 837 + }, + { + "epoch": 0.21, + "learning_rate": 3.9525e-05, + "loss": 1.1162, + "step": 838 + }, + { + "epoch": 0.21, + "learning_rate": 3.9512500000000005e-05, + "loss": 1.5312, + "step": 839 + }, + { + "epoch": 0.21, + "learning_rate": 3.9500000000000005e-05, + "loss": 1.1943, + "step": 840 + }, + { + "epoch": 0.21, + "learning_rate": 3.94875e-05, + "loss": 1.458, + "step": 841 + }, + { + "epoch": 0.21, + "learning_rate": 3.9475000000000004e-05, + "loss": 1.4961, + "step": 842 + }, + { + "epoch": 0.21, + "learning_rate": 3.9462500000000004e-05, + "loss": 1.1055, + "step": 843 + }, + { + "epoch": 0.21, + "learning_rate": 3.9450000000000003e-05, + "loss": 1.3672, + "step": 844 + }, + { + "epoch": 0.21, + "learning_rate": 3.9437499999999996e-05, + "loss": 1.1396, + "step": 845 + }, + { + "epoch": 0.21, + "learning_rate": 3.9425e-05, + "loss": 1.3252, + "step": 846 + }, + { + "epoch": 0.21, + "learning_rate": 3.94125e-05, + "loss": 1.0371, + "step": 847 + }, + { + "epoch": 0.21, + "learning_rate": 3.94e-05, + "loss": 1.0215, + "step": 848 + }, + { + "epoch": 0.21, + "learning_rate": 3.93875e-05, + "loss": 1.127, + "step": 849 + }, + { + "epoch": 0.21, + "learning_rate": 3.9375e-05, + "loss": 1.3994, + "step": 850 + }, + { + "epoch": 0.21, + "learning_rate": 3.93625e-05, + "loss": 1.1406, + "step": 851 + }, + { + "epoch": 0.21, + "learning_rate": 3.935e-05, + "loss": 1.2197, + "step": 852 + }, + { + "epoch": 0.21, + "learning_rate": 3.93375e-05, + "loss": 1.1094, + "step": 853 + }, + { + "epoch": 0.21, + "learning_rate": 3.9325e-05, + "loss": 1.2803, + "step": 854 + }, + { + "epoch": 0.21, + "learning_rate": 3.93125e-05, + "loss": 1.3066, + "step": 855 + }, + { + "epoch": 0.21, + "learning_rate": 3.9300000000000007e-05, + "loss": 1.0352, + "step": 856 + }, + { + "epoch": 0.21, + "learning_rate": 3.92875e-05, + "loss": 1.2617, + "step": 857 + }, + { + "epoch": 0.21, + "learning_rate": 3.9275e-05, + "loss": 1.5791, + "step": 858 + }, + { + "epoch": 0.21, + "learning_rate": 3.92625e-05, + "loss": 1.2324, + "step": 859 + }, + { + "epoch": 0.21, + "learning_rate": 3.9250000000000005e-05, + "loss": 1.3047, + "step": 860 + }, + { + "epoch": 0.22, + "learning_rate": 3.92375e-05, + "loss": 1.3955, + "step": 861 + }, + { + "epoch": 0.22, + "learning_rate": 3.9225e-05, + "loss": 1.2402, + "step": 862 + }, + { + "epoch": 0.22, + "learning_rate": 3.9212500000000004e-05, + "loss": 1.2021, + "step": 863 + }, + { + "epoch": 0.22, + "learning_rate": 3.9200000000000004e-05, + "loss": 1.3643, + "step": 864 + }, + { + "epoch": 0.22, + "learning_rate": 3.91875e-05, + "loss": 1.2568, + "step": 865 + }, + { + "epoch": 0.22, + "learning_rate": 3.9175000000000004e-05, + "loss": 1.2119, + "step": 866 + }, + { + "epoch": 0.22, + "learning_rate": 3.91625e-05, + "loss": 1.5898, + "step": 867 + }, + { + "epoch": 0.22, + "learning_rate": 3.915e-05, + "loss": 1.123, + "step": 868 + }, + { + "epoch": 0.22, + "learning_rate": 3.9137499999999996e-05, + "loss": 1.3604, + "step": 869 + }, + { + "epoch": 0.22, + "learning_rate": 3.9125e-05, + "loss": 1.4951, + "step": 870 + }, + { + "epoch": 0.22, + "learning_rate": 3.91125e-05, + "loss": 1.3623, + "step": 871 + }, + { + "epoch": 0.22, + "learning_rate": 3.91e-05, + "loss": 1.1826, + "step": 872 + }, + { + "epoch": 0.22, + "learning_rate": 3.90875e-05, + "loss": 1.1748, + "step": 873 + }, + { + "epoch": 0.22, + "learning_rate": 3.9075e-05, + "loss": 1.3809, + "step": 874 + }, + { + "epoch": 0.22, + "learning_rate": 3.90625e-05, + "loss": 0.939, + "step": 875 + }, + { + "epoch": 0.22, + "learning_rate": 3.905e-05, + "loss": 1.5186, + "step": 876 + }, + { + "epoch": 0.22, + "learning_rate": 3.903750000000001e-05, + "loss": 1.0059, + "step": 877 + }, + { + "epoch": 0.22, + "learning_rate": 3.9025e-05, + "loss": 1.3555, + "step": 878 + }, + { + "epoch": 0.22, + "learning_rate": 3.90125e-05, + "loss": 1.1816, + "step": 879 + }, + { + "epoch": 0.22, + "learning_rate": 3.9000000000000006e-05, + "loss": 1.2344, + "step": 880 + }, + { + "epoch": 0.22, + "learning_rate": 3.8987500000000006e-05, + "loss": 1.3164, + "step": 881 + }, + { + "epoch": 0.22, + "learning_rate": 3.8975e-05, + "loss": 1.3145, + "step": 882 + }, + { + "epoch": 0.22, + "learning_rate": 3.8962500000000005e-05, + "loss": 1.374, + "step": 883 + }, + { + "epoch": 0.22, + "learning_rate": 3.8950000000000005e-05, + "loss": 1.2471, + "step": 884 + }, + { + "epoch": 0.22, + "learning_rate": 3.8937500000000005e-05, + "loss": 1.3438, + "step": 885 + }, + { + "epoch": 0.22, + "learning_rate": 3.8925e-05, + "loss": 1.4355, + "step": 886 + }, + { + "epoch": 0.22, + "learning_rate": 3.8912500000000004e-05, + "loss": 1.3486, + "step": 887 + }, + { + "epoch": 0.22, + "learning_rate": 3.8900000000000004e-05, + "loss": 1.5176, + "step": 888 + }, + { + "epoch": 0.22, + "learning_rate": 3.88875e-05, + "loss": 1.3564, + "step": 889 + }, + { + "epoch": 0.22, + "learning_rate": 3.8875e-05, + "loss": 1.248, + "step": 890 + }, + { + "epoch": 0.22, + "learning_rate": 3.88625e-05, + "loss": 1.2598, + "step": 891 + }, + { + "epoch": 0.22, + "learning_rate": 3.885e-05, + "loss": 1.4619, + "step": 892 + }, + { + "epoch": 0.22, + "learning_rate": 3.88375e-05, + "loss": 1.3936, + "step": 893 + }, + { + "epoch": 0.22, + "learning_rate": 3.8825e-05, + "loss": 1.5, + "step": 894 + }, + { + "epoch": 0.22, + "learning_rate": 3.88125e-05, + "loss": 1.4307, + "step": 895 + }, + { + "epoch": 0.22, + "learning_rate": 3.88e-05, + "loss": 1.2354, + "step": 896 + }, + { + "epoch": 0.22, + "learning_rate": 3.878750000000001e-05, + "loss": 1.376, + "step": 897 + }, + { + "epoch": 0.22, + "learning_rate": 3.8775e-05, + "loss": 1.0195, + "step": 898 + }, + { + "epoch": 0.22, + "learning_rate": 3.87625e-05, + "loss": 1.3574, + "step": 899 + }, + { + "epoch": 0.23, + "learning_rate": 3.875e-05, + "loss": 1.251, + "step": 900 + }, + { + "epoch": 0.23, + "learning_rate": 3.8737500000000006e-05, + "loss": 1.2549, + "step": 901 + }, + { + "epoch": 0.23, + "learning_rate": 3.8725e-05, + "loss": 1.3887, + "step": 902 + }, + { + "epoch": 0.23, + "learning_rate": 3.87125e-05, + "loss": 1.3408, + "step": 903 + }, + { + "epoch": 0.23, + "learning_rate": 3.8700000000000006e-05, + "loss": 1.2666, + "step": 904 + }, + { + "epoch": 0.23, + "learning_rate": 3.8687500000000005e-05, + "loss": 1.2754, + "step": 905 + }, + { + "epoch": 0.23, + "learning_rate": 3.8675e-05, + "loss": 1.6475, + "step": 906 + }, + { + "epoch": 0.23, + "learning_rate": 3.8662500000000005e-05, + "loss": 1.127, + "step": 907 + }, + { + "epoch": 0.23, + "learning_rate": 3.8650000000000004e-05, + "loss": 1.3506, + "step": 908 + }, + { + "epoch": 0.23, + "learning_rate": 3.8637500000000004e-05, + "loss": 1.3965, + "step": 909 + }, + { + "epoch": 0.23, + "learning_rate": 3.8625e-05, + "loss": 1.2754, + "step": 910 + }, + { + "epoch": 0.23, + "learning_rate": 3.8612500000000003e-05, + "loss": 1.0889, + "step": 911 + }, + { + "epoch": 0.23, + "learning_rate": 3.86e-05, + "loss": 1.3887, + "step": 912 + }, + { + "epoch": 0.23, + "learning_rate": 3.85875e-05, + "loss": 1.2588, + "step": 913 + }, + { + "epoch": 0.23, + "learning_rate": 3.8575e-05, + "loss": 1.0518, + "step": 914 + }, + { + "epoch": 0.23, + "learning_rate": 3.85625e-05, + "loss": 1.1377, + "step": 915 + }, + { + "epoch": 0.23, + "learning_rate": 3.855e-05, + "loss": 1.0254, + "step": 916 + }, + { + "epoch": 0.23, + "learning_rate": 3.85375e-05, + "loss": 1.2764, + "step": 917 + }, + { + "epoch": 0.23, + "learning_rate": 3.8525e-05, + "loss": 1.1592, + "step": 918 + }, + { + "epoch": 0.23, + "learning_rate": 3.85125e-05, + "loss": 1.1914, + "step": 919 + }, + { + "epoch": 0.23, + "learning_rate": 3.85e-05, + "loss": 1.333, + "step": 920 + }, + { + "epoch": 0.23, + "learning_rate": 3.848750000000001e-05, + "loss": 1.4053, + "step": 921 + }, + { + "epoch": 0.23, + "learning_rate": 3.8475e-05, + "loss": 1.6387, + "step": 922 + }, + { + "epoch": 0.23, + "learning_rate": 3.84625e-05, + "loss": 1.2471, + "step": 923 + }, + { + "epoch": 0.23, + "learning_rate": 3.845e-05, + "loss": 1.4365, + "step": 924 + }, + { + "epoch": 0.23, + "learning_rate": 3.8437500000000006e-05, + "loss": 1.2227, + "step": 925 + }, + { + "epoch": 0.23, + "learning_rate": 3.8425e-05, + "loss": 1.2432, + "step": 926 + }, + { + "epoch": 0.23, + "learning_rate": 3.84125e-05, + "loss": 1.2246, + "step": 927 + }, + { + "epoch": 0.23, + "learning_rate": 3.8400000000000005e-05, + "loss": 1.1934, + "step": 928 + }, + { + "epoch": 0.23, + "learning_rate": 3.8387500000000005e-05, + "loss": 1.584, + "step": 929 + }, + { + "epoch": 0.23, + "learning_rate": 3.8375e-05, + "loss": 1.1484, + "step": 930 + }, + { + "epoch": 0.23, + "learning_rate": 3.8362500000000004e-05, + "loss": 1.3975, + "step": 931 + }, + { + "epoch": 0.23, + "learning_rate": 3.8350000000000004e-05, + "loss": 1.2852, + "step": 932 + }, + { + "epoch": 0.23, + "learning_rate": 3.8337500000000004e-05, + "loss": 1.1152, + "step": 933 + }, + { + "epoch": 0.23, + "learning_rate": 3.8324999999999996e-05, + "loss": 1.3564, + "step": 934 + }, + { + "epoch": 0.23, + "learning_rate": 3.83125e-05, + "loss": 1.1904, + "step": 935 + }, + { + "epoch": 0.23, + "learning_rate": 3.83e-05, + "loss": 1.4736, + "step": 936 + }, + { + "epoch": 0.23, + "learning_rate": 3.82875e-05, + "loss": 1.0049, + "step": 937 + }, + { + "epoch": 0.23, + "learning_rate": 3.8275e-05, + "loss": 1.1719, + "step": 938 + }, + { + "epoch": 0.23, + "learning_rate": 3.82625e-05, + "loss": 1.5039, + "step": 939 + }, + { + "epoch": 0.23, + "learning_rate": 3.825e-05, + "loss": 1.2793, + "step": 940 + }, + { + "epoch": 0.24, + "learning_rate": 3.82375e-05, + "loss": 1.3203, + "step": 941 + }, + { + "epoch": 0.24, + "learning_rate": 3.8225e-05, + "loss": 1.1084, + "step": 942 + }, + { + "epoch": 0.24, + "learning_rate": 3.82125e-05, + "loss": 1.2969, + "step": 943 + }, + { + "epoch": 0.24, + "learning_rate": 3.82e-05, + "loss": 0.9868, + "step": 944 + }, + { + "epoch": 0.24, + "learning_rate": 3.818750000000001e-05, + "loss": 1.3506, + "step": 945 + }, + { + "epoch": 0.24, + "learning_rate": 3.8175e-05, + "loss": 1.3828, + "step": 946 + }, + { + "epoch": 0.24, + "learning_rate": 3.81625e-05, + "loss": 1.3701, + "step": 947 + }, + { + "epoch": 0.24, + "learning_rate": 3.8150000000000006e-05, + "loss": 1.4082, + "step": 948 + }, + { + "epoch": 0.24, + "learning_rate": 3.8137500000000005e-05, + "loss": 1.5078, + "step": 949 + }, + { + "epoch": 0.24, + "learning_rate": 3.8125e-05, + "loss": 1.3682, + "step": 950 + }, + { + "epoch": 0.24, + "learning_rate": 3.81125e-05, + "loss": 1.3926, + "step": 951 + }, + { + "epoch": 0.24, + "learning_rate": 3.8100000000000005e-05, + "loss": 1.1982, + "step": 952 + }, + { + "epoch": 0.24, + "learning_rate": 3.8087500000000004e-05, + "loss": 1.0508, + "step": 953 + }, + { + "epoch": 0.24, + "learning_rate": 3.8075e-05, + "loss": 1.624, + "step": 954 + }, + { + "epoch": 0.24, + "learning_rate": 3.8062500000000004e-05, + "loss": 1.501, + "step": 955 + }, + { + "epoch": 0.24, + "learning_rate": 3.805e-05, + "loss": 1.2305, + "step": 956 + }, + { + "epoch": 0.24, + "learning_rate": 3.80375e-05, + "loss": 1.1494, + "step": 957 + }, + { + "epoch": 0.24, + "learning_rate": 3.8025e-05, + "loss": 1.5332, + "step": 958 + }, + { + "epoch": 0.24, + "learning_rate": 3.80125e-05, + "loss": 1.2236, + "step": 959 + }, + { + "epoch": 0.24, + "learning_rate": 3.8e-05, + "loss": 1.1191, + "step": 960 + }, + { + "epoch": 0.24, + "learning_rate": 3.79875e-05, + "loss": 1.1709, + "step": 961 + }, + { + "epoch": 0.24, + "learning_rate": 3.7975e-05, + "loss": 1.1953, + "step": 962 + }, + { + "epoch": 0.24, + "learning_rate": 3.79625e-05, + "loss": 1.2744, + "step": 963 + }, + { + "epoch": 0.24, + "learning_rate": 3.795e-05, + "loss": 1.2168, + "step": 964 + }, + { + "epoch": 0.24, + "learning_rate": 3.79375e-05, + "loss": 1.1836, + "step": 965 + }, + { + "epoch": 0.24, + "learning_rate": 3.7925e-05, + "loss": 1.3926, + "step": 966 + }, + { + "epoch": 0.24, + "learning_rate": 3.79125e-05, + "loss": 1.3389, + "step": 967 + }, + { + "epoch": 0.24, + "learning_rate": 3.79e-05, + "loss": 1.3604, + "step": 968 + }, + { + "epoch": 0.24, + "learning_rate": 3.7887500000000006e-05, + "loss": 1.3701, + "step": 969 + }, + { + "epoch": 0.24, + "learning_rate": 3.7875e-05, + "loss": 1.0205, + "step": 970 + }, + { + "epoch": 0.24, + "learning_rate": 3.78625e-05, + "loss": 1.2266, + "step": 971 + }, + { + "epoch": 0.24, + "learning_rate": 3.7850000000000005e-05, + "loss": 1.3154, + "step": 972 + }, + { + "epoch": 0.24, + "learning_rate": 3.7837500000000005e-05, + "loss": 1.2275, + "step": 973 + }, + { + "epoch": 0.24, + "learning_rate": 3.7825e-05, + "loss": 1.252, + "step": 974 + }, + { + "epoch": 0.24, + "learning_rate": 3.78125e-05, + "loss": 1.4424, + "step": 975 + }, + { + "epoch": 0.24, + "learning_rate": 3.7800000000000004e-05, + "loss": 1.4238, + "step": 976 + }, + { + "epoch": 0.24, + "learning_rate": 3.7787500000000004e-05, + "loss": 1.3125, + "step": 977 + }, + { + "epoch": 0.24, + "learning_rate": 3.7775e-05, + "loss": 1.375, + "step": 978 + }, + { + "epoch": 0.24, + "learning_rate": 3.77625e-05, + "loss": 1.4473, + "step": 979 + }, + { + "epoch": 0.24, + "learning_rate": 3.775e-05, + "loss": 1.3359, + "step": 980 + }, + { + "epoch": 0.25, + "learning_rate": 3.77375e-05, + "loss": 1.0459, + "step": 981 + }, + { + "epoch": 0.25, + "learning_rate": 3.7725e-05, + "loss": 1.2871, + "step": 982 + }, + { + "epoch": 0.25, + "learning_rate": 3.77125e-05, + "loss": 1.3369, + "step": 983 + }, + { + "epoch": 0.25, + "learning_rate": 3.77e-05, + "loss": 1.1621, + "step": 984 + }, + { + "epoch": 0.25, + "learning_rate": 3.76875e-05, + "loss": 1.4043, + "step": 985 + }, + { + "epoch": 0.25, + "learning_rate": 3.7675e-05, + "loss": 1.5332, + "step": 986 + }, + { + "epoch": 0.25, + "learning_rate": 3.76625e-05, + "loss": 1.2207, + "step": 987 + }, + { + "epoch": 0.25, + "learning_rate": 3.765e-05, + "loss": 1.3369, + "step": 988 + }, + { + "epoch": 0.25, + "learning_rate": 3.76375e-05, + "loss": 1.4971, + "step": 989 + }, + { + "epoch": 0.25, + "learning_rate": 3.7625e-05, + "loss": 1.1133, + "step": 990 + }, + { + "epoch": 0.25, + "learning_rate": 3.76125e-05, + "loss": 1.124, + "step": 991 + }, + { + "epoch": 0.25, + "learning_rate": 3.76e-05, + "loss": 1.3652, + "step": 992 + }, + { + "epoch": 0.25, + "learning_rate": 3.7587500000000006e-05, + "loss": 1.3516, + "step": 993 + }, + { + "epoch": 0.25, + "learning_rate": 3.7575e-05, + "loss": 1.1934, + "step": 994 + }, + { + "epoch": 0.25, + "learning_rate": 3.75625e-05, + "loss": 1.0791, + "step": 995 + }, + { + "epoch": 0.25, + "learning_rate": 3.7550000000000005e-05, + "loss": 1.502, + "step": 996 + }, + { + "epoch": 0.25, + "learning_rate": 3.7537500000000004e-05, + "loss": 1.2354, + "step": 997 + }, + { + "epoch": 0.25, + "learning_rate": 3.7525e-05, + "loss": 1.0391, + "step": 998 + }, + { + "epoch": 0.25, + "learning_rate": 3.7512500000000004e-05, + "loss": 1.3535, + "step": 999 + }, + { + "epoch": 0.25, + "learning_rate": 3.7500000000000003e-05, + "loss": 1.2197, + "step": 1000 + }, + { + "epoch": 0.25, + "learning_rate": 3.74875e-05, + "loss": 1.2812, + "step": 1001 + }, + { + "epoch": 0.25, + "learning_rate": 3.7475e-05, + "loss": 1.4512, + "step": 1002 + }, + { + "epoch": 0.25, + "learning_rate": 3.74625e-05, + "loss": 1.1377, + "step": 1003 + }, + { + "epoch": 0.25, + "learning_rate": 3.745e-05, + "loss": 1.4092, + "step": 1004 + }, + { + "epoch": 0.25, + "learning_rate": 3.74375e-05, + "loss": 1.1562, + "step": 1005 + }, + { + "epoch": 0.25, + "learning_rate": 3.7425e-05, + "loss": 1.4639, + "step": 1006 + }, + { + "epoch": 0.25, + "learning_rate": 3.74125e-05, + "loss": 1.2744, + "step": 1007 + }, + { + "epoch": 0.25, + "learning_rate": 3.74e-05, + "loss": 1.3574, + "step": 1008 + }, + { + "epoch": 0.25, + "learning_rate": 3.73875e-05, + "loss": 1.2168, + "step": 1009 + }, + { + "epoch": 0.25, + "learning_rate": 3.737500000000001e-05, + "loss": 1.4785, + "step": 1010 + }, + { + "epoch": 0.25, + "learning_rate": 3.73625e-05, + "loss": 1.2695, + "step": 1011 + }, + { + "epoch": 0.25, + "learning_rate": 3.735e-05, + "loss": 1.085, + "step": 1012 + }, + { + "epoch": 0.25, + "learning_rate": 3.7337500000000006e-05, + "loss": 1.0508, + "step": 1013 + }, + { + "epoch": 0.25, + "learning_rate": 3.7325000000000006e-05, + "loss": 1.3018, + "step": 1014 + }, + { + "epoch": 0.25, + "learning_rate": 3.73125e-05, + "loss": 1.4287, + "step": 1015 + }, + { + "epoch": 0.25, + "learning_rate": 3.73e-05, + "loss": 1.3848, + "step": 1016 + }, + { + "epoch": 0.25, + "learning_rate": 3.7287500000000005e-05, + "loss": 1.2256, + "step": 1017 + }, + { + "epoch": 0.25, + "learning_rate": 3.7275000000000005e-05, + "loss": 1.1953, + "step": 1018 + }, + { + "epoch": 0.25, + "learning_rate": 3.72625e-05, + "loss": 1.3906, + "step": 1019 + }, + { + "epoch": 0.26, + "learning_rate": 3.7250000000000004e-05, + "loss": 1.1787, + "step": 1020 + }, + { + "epoch": 0.26, + "learning_rate": 3.7237500000000004e-05, + "loss": 1.4307, + "step": 1021 + }, + { + "epoch": 0.26, + "learning_rate": 3.7225000000000004e-05, + "loss": 1.1855, + "step": 1022 + }, + { + "epoch": 0.26, + "learning_rate": 3.72125e-05, + "loss": 1.3223, + "step": 1023 + }, + { + "epoch": 0.26, + "learning_rate": 3.72e-05, + "loss": 1.1582, + "step": 1024 + }, + { + "epoch": 0.26, + "learning_rate": 3.71875e-05, + "loss": 1.4531, + "step": 1025 + }, + { + "epoch": 0.26, + "learning_rate": 3.7175e-05, + "loss": 1.1982, + "step": 1026 + }, + { + "epoch": 0.26, + "learning_rate": 3.71625e-05, + "loss": 1.2109, + "step": 1027 + }, + { + "epoch": 0.26, + "learning_rate": 3.715e-05, + "loss": 1.2783, + "step": 1028 + }, + { + "epoch": 0.26, + "learning_rate": 3.71375e-05, + "loss": 1.2783, + "step": 1029 + }, + { + "epoch": 0.26, + "learning_rate": 3.7125e-05, + "loss": 1.3389, + "step": 1030 + }, + { + "epoch": 0.26, + "learning_rate": 3.71125e-05, + "loss": 1.0391, + "step": 1031 + }, + { + "epoch": 0.26, + "learning_rate": 3.71e-05, + "loss": 1.3242, + "step": 1032 + }, + { + "epoch": 0.26, + "learning_rate": 3.70875e-05, + "loss": 1.4072, + "step": 1033 + }, + { + "epoch": 0.26, + "learning_rate": 3.707500000000001e-05, + "loss": 1.3311, + "step": 1034 + }, + { + "epoch": 0.26, + "learning_rate": 3.70625e-05, + "loss": 1.1104, + "step": 1035 + }, + { + "epoch": 0.26, + "learning_rate": 3.705e-05, + "loss": 1.3896, + "step": 1036 + }, + { + "epoch": 0.26, + "learning_rate": 3.7037500000000006e-05, + "loss": 1.4521, + "step": 1037 + }, + { + "epoch": 0.26, + "learning_rate": 3.7025000000000005e-05, + "loss": 1.3955, + "step": 1038 + }, + { + "epoch": 0.26, + "learning_rate": 3.70125e-05, + "loss": 1.4727, + "step": 1039 + }, + { + "epoch": 0.26, + "learning_rate": 3.7e-05, + "loss": 1.2686, + "step": 1040 + }, + { + "epoch": 0.26, + "learning_rate": 3.6987500000000005e-05, + "loss": 1.2793, + "step": 1041 + }, + { + "epoch": 0.26, + "learning_rate": 3.6975000000000004e-05, + "loss": 1.0898, + "step": 1042 + }, + { + "epoch": 0.26, + "learning_rate": 3.69625e-05, + "loss": 1.2764, + "step": 1043 + }, + { + "epoch": 0.26, + "learning_rate": 3.6950000000000004e-05, + "loss": 1.3643, + "step": 1044 + }, + { + "epoch": 0.26, + "learning_rate": 3.69375e-05, + "loss": 1.1055, + "step": 1045 + }, + { + "epoch": 0.26, + "learning_rate": 3.6925e-05, + "loss": 1.1992, + "step": 1046 + }, + { + "epoch": 0.26, + "learning_rate": 3.69125e-05, + "loss": 1.2285, + "step": 1047 + }, + { + "epoch": 0.26, + "learning_rate": 3.69e-05, + "loss": 1.2432, + "step": 1048 + }, + { + "epoch": 0.26, + "learning_rate": 3.68875e-05, + "loss": 1.3779, + "step": 1049 + }, + { + "epoch": 0.26, + "learning_rate": 3.6875e-05, + "loss": 1.5156, + "step": 1050 + }, + { + "epoch": 0.26, + "learning_rate": 3.68625e-05, + "loss": 1.2217, + "step": 1051 + }, + { + "epoch": 0.26, + "learning_rate": 3.685e-05, + "loss": 1.375, + "step": 1052 + }, + { + "epoch": 0.26, + "learning_rate": 3.68375e-05, + "loss": 1.3506, + "step": 1053 + }, + { + "epoch": 0.26, + "learning_rate": 3.6825e-05, + "loss": 1.2012, + "step": 1054 + }, + { + "epoch": 0.26, + "learning_rate": 3.68125e-05, + "loss": 1.0918, + "step": 1055 + }, + { + "epoch": 0.26, + "learning_rate": 3.68e-05, + "loss": 1.2852, + "step": 1056 + }, + { + "epoch": 0.26, + "learning_rate": 3.67875e-05, + "loss": 1.3252, + "step": 1057 + }, + { + "epoch": 0.26, + "learning_rate": 3.6775000000000006e-05, + "loss": 1.4424, + "step": 1058 + }, + { + "epoch": 0.26, + "learning_rate": 3.67625e-05, + "loss": 1.0098, + "step": 1059 + }, + { + "epoch": 0.27, + "learning_rate": 3.675e-05, + "loss": 1.3145, + "step": 1060 + }, + { + "epoch": 0.27, + "learning_rate": 3.6737500000000005e-05, + "loss": 1.3613, + "step": 1061 + }, + { + "epoch": 0.27, + "learning_rate": 3.6725000000000005e-05, + "loss": 1.25, + "step": 1062 + }, + { + "epoch": 0.27, + "learning_rate": 3.67125e-05, + "loss": 1.2168, + "step": 1063 + }, + { + "epoch": 0.27, + "learning_rate": 3.6700000000000004e-05, + "loss": 1.3916, + "step": 1064 + }, + { + "epoch": 0.27, + "learning_rate": 3.6687500000000004e-05, + "loss": 1.2998, + "step": 1065 + }, + { + "epoch": 0.27, + "learning_rate": 3.6675000000000004e-05, + "loss": 1.2207, + "step": 1066 + }, + { + "epoch": 0.27, + "learning_rate": 3.66625e-05, + "loss": 1.1035, + "step": 1067 + }, + { + "epoch": 0.27, + "learning_rate": 3.665e-05, + "loss": 1.2275, + "step": 1068 + }, + { + "epoch": 0.27, + "learning_rate": 3.66375e-05, + "loss": 0.9653, + "step": 1069 + }, + { + "epoch": 0.27, + "learning_rate": 3.6625e-05, + "loss": 1.5322, + "step": 1070 + }, + { + "epoch": 0.27, + "learning_rate": 3.66125e-05, + "loss": 1.1826, + "step": 1071 + }, + { + "epoch": 0.27, + "learning_rate": 3.66e-05, + "loss": 1.3877, + "step": 1072 + }, + { + "epoch": 0.27, + "learning_rate": 3.65875e-05, + "loss": 1.4268, + "step": 1073 + }, + { + "epoch": 0.27, + "learning_rate": 3.6575e-05, + "loss": 1.5703, + "step": 1074 + }, + { + "epoch": 0.27, + "learning_rate": 3.65625e-05, + "loss": 1.1982, + "step": 1075 + }, + { + "epoch": 0.27, + "learning_rate": 3.655e-05, + "loss": 1.1094, + "step": 1076 + }, + { + "epoch": 0.27, + "learning_rate": 3.65375e-05, + "loss": 1.1924, + "step": 1077 + }, + { + "epoch": 0.27, + "learning_rate": 3.652500000000001e-05, + "loss": 1.0469, + "step": 1078 + }, + { + "epoch": 0.27, + "learning_rate": 3.65125e-05, + "loss": 1.3115, + "step": 1079 + }, + { + "epoch": 0.27, + "learning_rate": 3.65e-05, + "loss": 1.3916, + "step": 1080 + }, + { + "epoch": 0.27, + "learning_rate": 3.64875e-05, + "loss": 1.1943, + "step": 1081 + }, + { + "epoch": 0.27, + "learning_rate": 3.6475000000000006e-05, + "loss": 1.3232, + "step": 1082 + }, + { + "epoch": 0.27, + "learning_rate": 3.64625e-05, + "loss": 1.1318, + "step": 1083 + }, + { + "epoch": 0.27, + "learning_rate": 3.645e-05, + "loss": 1.3672, + "step": 1084 + }, + { + "epoch": 0.27, + "learning_rate": 3.6437500000000005e-05, + "loss": 1.1924, + "step": 1085 + }, + { + "epoch": 0.27, + "learning_rate": 3.6425000000000004e-05, + "loss": 0.9907, + "step": 1086 + }, + { + "epoch": 0.27, + "learning_rate": 3.64125e-05, + "loss": 1.2354, + "step": 1087 + }, + { + "epoch": 0.27, + "learning_rate": 3.6400000000000004e-05, + "loss": 1.1055, + "step": 1088 + }, + { + "epoch": 0.27, + "learning_rate": 3.6387500000000004e-05, + "loss": 1.1699, + "step": 1089 + }, + { + "epoch": 0.27, + "learning_rate": 3.6375e-05, + "loss": 1.3926, + "step": 1090 + }, + { + "epoch": 0.27, + "learning_rate": 3.6362499999999996e-05, + "loss": 1.2627, + "step": 1091 + }, + { + "epoch": 0.27, + "learning_rate": 3.635e-05, + "loss": 1.3018, + "step": 1092 + }, + { + "epoch": 0.27, + "learning_rate": 3.63375e-05, + "loss": 1.1504, + "step": 1093 + }, + { + "epoch": 0.27, + "learning_rate": 3.6325e-05, + "loss": 1.29, + "step": 1094 + }, + { + "epoch": 0.27, + "learning_rate": 3.63125e-05, + "loss": 1.3232, + "step": 1095 + }, + { + "epoch": 0.27, + "learning_rate": 3.63e-05, + "loss": 1.2324, + "step": 1096 + }, + { + "epoch": 0.27, + "learning_rate": 3.62875e-05, + "loss": 1.0781, + "step": 1097 + }, + { + "epoch": 0.27, + "learning_rate": 3.6275e-05, + "loss": 1.0801, + "step": 1098 + }, + { + "epoch": 0.27, + "learning_rate": 3.62625e-05, + "loss": 1.4609, + "step": 1099 + }, + { + "epoch": 0.28, + "learning_rate": 3.625e-05, + "loss": 1.0732, + "step": 1100 + }, + { + "epoch": 0.28, + "learning_rate": 3.62375e-05, + "loss": 1.248, + "step": 1101 + }, + { + "epoch": 0.28, + "learning_rate": 3.6225000000000006e-05, + "loss": 1.0537, + "step": 1102 + }, + { + "epoch": 0.28, + "learning_rate": 3.62125e-05, + "loss": 1.3418, + "step": 1103 + }, + { + "epoch": 0.28, + "learning_rate": 3.62e-05, + "loss": 1.457, + "step": 1104 + }, + { + "epoch": 0.28, + "learning_rate": 3.61875e-05, + "loss": 1.166, + "step": 1105 + }, + { + "epoch": 0.28, + "learning_rate": 3.6175000000000005e-05, + "loss": 1.3857, + "step": 1106 + }, + { + "epoch": 0.28, + "learning_rate": 3.61625e-05, + "loss": 1.0391, + "step": 1107 + }, + { + "epoch": 0.28, + "learning_rate": 3.615e-05, + "loss": 1.5898, + "step": 1108 + }, + { + "epoch": 0.28, + "learning_rate": 3.6137500000000004e-05, + "loss": 1.498, + "step": 1109 + }, + { + "epoch": 0.28, + "learning_rate": 3.6125000000000004e-05, + "loss": 1.3594, + "step": 1110 + }, + { + "epoch": 0.28, + "learning_rate": 3.61125e-05, + "loss": 1.2568, + "step": 1111 + }, + { + "epoch": 0.28, + "learning_rate": 3.61e-05, + "loss": 1.1445, + "step": 1112 + }, + { + "epoch": 0.28, + "learning_rate": 3.60875e-05, + "loss": 1.2266, + "step": 1113 + }, + { + "epoch": 0.28, + "learning_rate": 3.6075e-05, + "loss": 1.2451, + "step": 1114 + }, + { + "epoch": 0.28, + "learning_rate": 3.60625e-05, + "loss": 1.0137, + "step": 1115 + }, + { + "epoch": 0.28, + "learning_rate": 3.605e-05, + "loss": 1.4746, + "step": 1116 + }, + { + "epoch": 0.28, + "learning_rate": 3.60375e-05, + "loss": 1.2393, + "step": 1117 + }, + { + "epoch": 0.28, + "learning_rate": 3.6025e-05, + "loss": 1.8584, + "step": 1118 + }, + { + "epoch": 0.28, + "learning_rate": 3.60125e-05, + "loss": 1.252, + "step": 1119 + }, + { + "epoch": 0.28, + "learning_rate": 3.6e-05, + "loss": 1.4043, + "step": 1120 + }, + { + "epoch": 0.28, + "learning_rate": 3.59875e-05, + "loss": 1.4785, + "step": 1121 + }, + { + "epoch": 0.28, + "learning_rate": 3.5975e-05, + "loss": 1.1904, + "step": 1122 + }, + { + "epoch": 0.28, + "learning_rate": 3.59625e-05, + "loss": 1.2168, + "step": 1123 + }, + { + "epoch": 0.28, + "learning_rate": 3.595e-05, + "loss": 1.293, + "step": 1124 + }, + { + "epoch": 0.28, + "learning_rate": 3.59375e-05, + "loss": 1.3711, + "step": 1125 + }, + { + "epoch": 0.28, + "learning_rate": 3.5925000000000006e-05, + "loss": 1.2607, + "step": 1126 + }, + { + "epoch": 0.28, + "learning_rate": 3.5912500000000006e-05, + "loss": 1.1016, + "step": 1127 + }, + { + "epoch": 0.28, + "learning_rate": 3.59e-05, + "loss": 1.208, + "step": 1128 + }, + { + "epoch": 0.28, + "learning_rate": 3.5887500000000005e-05, + "loss": 1.2686, + "step": 1129 + }, + { + "epoch": 0.28, + "learning_rate": 3.5875000000000005e-05, + "loss": 1.0693, + "step": 1130 + }, + { + "epoch": 0.28, + "learning_rate": 3.5862500000000004e-05, + "loss": 1.1738, + "step": 1131 + }, + { + "epoch": 0.28, + "learning_rate": 3.585e-05, + "loss": 1.2383, + "step": 1132 + }, + { + "epoch": 0.28, + "learning_rate": 3.5837500000000004e-05, + "loss": 1.373, + "step": 1133 + }, + { + "epoch": 0.28, + "learning_rate": 3.5825000000000003e-05, + "loss": 1.0381, + "step": 1134 + }, + { + "epoch": 0.28, + "learning_rate": 3.58125e-05, + "loss": 1.4277, + "step": 1135 + }, + { + "epoch": 0.28, + "learning_rate": 3.58e-05, + "loss": 1.2695, + "step": 1136 + }, + { + "epoch": 0.28, + "learning_rate": 3.57875e-05, + "loss": 1.1982, + "step": 1137 + }, + { + "epoch": 0.28, + "learning_rate": 3.5775e-05, + "loss": 1.5889, + "step": 1138 + }, + { + "epoch": 0.28, + "learning_rate": 3.57625e-05, + "loss": 1.084, + "step": 1139 + }, + { + "epoch": 0.28, + "learning_rate": 3.575e-05, + "loss": 1.2432, + "step": 1140 + }, + { + "epoch": 0.29, + "learning_rate": 3.57375e-05, + "loss": 1.1885, + "step": 1141 + }, + { + "epoch": 0.29, + "learning_rate": 3.5725e-05, + "loss": 1.3057, + "step": 1142 + }, + { + "epoch": 0.29, + "learning_rate": 3.571250000000001e-05, + "loss": 1.3643, + "step": 1143 + }, + { + "epoch": 0.29, + "learning_rate": 3.57e-05, + "loss": 1.1201, + "step": 1144 + }, + { + "epoch": 0.29, + "learning_rate": 3.56875e-05, + "loss": 1.3076, + "step": 1145 + }, + { + "epoch": 0.29, + "learning_rate": 3.5675e-05, + "loss": 1.6758, + "step": 1146 + }, + { + "epoch": 0.29, + "learning_rate": 3.5662500000000006e-05, + "loss": 1.3701, + "step": 1147 + }, + { + "epoch": 0.29, + "learning_rate": 3.565e-05, + "loss": 1.3486, + "step": 1148 + }, + { + "epoch": 0.29, + "learning_rate": 3.56375e-05, + "loss": 1.2627, + "step": 1149 + }, + { + "epoch": 0.29, + "learning_rate": 3.5625000000000005e-05, + "loss": 1.3076, + "step": 1150 + }, + { + "epoch": 0.29, + "learning_rate": 3.5612500000000005e-05, + "loss": 1.0928, + "step": 1151 + }, + { + "epoch": 0.29, + "learning_rate": 3.56e-05, + "loss": 1.2246, + "step": 1152 + }, + { + "epoch": 0.29, + "learning_rate": 3.5587500000000004e-05, + "loss": 1.2949, + "step": 1153 + }, + { + "epoch": 0.29, + "learning_rate": 3.5575000000000004e-05, + "loss": 1.0293, + "step": 1154 + }, + { + "epoch": 0.29, + "learning_rate": 3.5562500000000004e-05, + "loss": 1.3213, + "step": 1155 + }, + { + "epoch": 0.29, + "learning_rate": 3.555e-05, + "loss": 1.1367, + "step": 1156 + }, + { + "epoch": 0.29, + "learning_rate": 3.55375e-05, + "loss": 1.1465, + "step": 1157 + }, + { + "epoch": 0.29, + "learning_rate": 3.5525e-05, + "loss": 1.2266, + "step": 1158 + }, + { + "epoch": 0.29, + "learning_rate": 3.55125e-05, + "loss": 1.2197, + "step": 1159 + }, + { + "epoch": 0.29, + "learning_rate": 3.55e-05, + "loss": 1.0557, + "step": 1160 + }, + { + "epoch": 0.29, + "learning_rate": 3.54875e-05, + "loss": 1.0645, + "step": 1161 + }, + { + "epoch": 0.29, + "learning_rate": 3.5475e-05, + "loss": 1.6475, + "step": 1162 + }, + { + "epoch": 0.29, + "learning_rate": 3.54625e-05, + "loss": 1.1816, + "step": 1163 + }, + { + "epoch": 0.29, + "learning_rate": 3.545e-05, + "loss": 1.1074, + "step": 1164 + }, + { + "epoch": 0.29, + "learning_rate": 3.54375e-05, + "loss": 1.2773, + "step": 1165 + }, + { + "epoch": 0.29, + "learning_rate": 3.5425e-05, + "loss": 1.1895, + "step": 1166 + }, + { + "epoch": 0.29, + "learning_rate": 3.541250000000001e-05, + "loss": 1.1396, + "step": 1167 + }, + { + "epoch": 0.29, + "learning_rate": 3.54e-05, + "loss": 1.1953, + "step": 1168 + }, + { + "epoch": 0.29, + "learning_rate": 3.53875e-05, + "loss": 0.8403, + "step": 1169 + }, + { + "epoch": 0.29, + "learning_rate": 3.5375e-05, + "loss": 1.3359, + "step": 1170 + }, + { + "epoch": 0.29, + "learning_rate": 3.5362500000000006e-05, + "loss": 1.4443, + "step": 1171 + }, + { + "epoch": 0.29, + "learning_rate": 3.535e-05, + "loss": 1.1865, + "step": 1172 + }, + { + "epoch": 0.29, + "learning_rate": 3.53375e-05, + "loss": 1.2529, + "step": 1173 + }, + { + "epoch": 0.29, + "learning_rate": 3.5325000000000005e-05, + "loss": 1.293, + "step": 1174 + }, + { + "epoch": 0.29, + "learning_rate": 3.5312500000000005e-05, + "loss": 1.2588, + "step": 1175 + }, + { + "epoch": 0.29, + "learning_rate": 3.53e-05, + "loss": 1.0117, + "step": 1176 + }, + { + "epoch": 0.29, + "learning_rate": 3.5287500000000004e-05, + "loss": 1.2246, + "step": 1177 + }, + { + "epoch": 0.29, + "learning_rate": 3.5275000000000004e-05, + "loss": 1.2227, + "step": 1178 + }, + { + "epoch": 0.29, + "learning_rate": 3.52625e-05, + "loss": 1.3555, + "step": 1179 + }, + { + "epoch": 0.29, + "learning_rate": 3.525e-05, + "loss": 1.3086, + "step": 1180 + }, + { + "epoch": 0.3, + "learning_rate": 3.52375e-05, + "loss": 1.1807, + "step": 1181 + }, + { + "epoch": 0.3, + "learning_rate": 3.5225e-05, + "loss": 1.3203, + "step": 1182 + }, + { + "epoch": 0.3, + "learning_rate": 3.52125e-05, + "loss": 1.2793, + "step": 1183 + }, + { + "epoch": 0.3, + "learning_rate": 3.52e-05, + "loss": 1.0938, + "step": 1184 + }, + { + "epoch": 0.3, + "learning_rate": 3.51875e-05, + "loss": 1.3486, + "step": 1185 + }, + { + "epoch": 0.3, + "learning_rate": 3.5175e-05, + "loss": 1.1914, + "step": 1186 + }, + { + "epoch": 0.3, + "learning_rate": 3.51625e-05, + "loss": 1.208, + "step": 1187 + }, + { + "epoch": 0.3, + "learning_rate": 3.515e-05, + "loss": 1.2754, + "step": 1188 + }, + { + "epoch": 0.3, + "learning_rate": 3.51375e-05, + "loss": 1.1104, + "step": 1189 + }, + { + "epoch": 0.3, + "learning_rate": 3.5125e-05, + "loss": 1.2646, + "step": 1190 + }, + { + "epoch": 0.3, + "learning_rate": 3.5112500000000006e-05, + "loss": 1.4062, + "step": 1191 + }, + { + "epoch": 0.3, + "learning_rate": 3.51e-05, + "loss": 1.6143, + "step": 1192 + }, + { + "epoch": 0.3, + "learning_rate": 3.50875e-05, + "loss": 1.2139, + "step": 1193 + }, + { + "epoch": 0.3, + "learning_rate": 3.5075000000000006e-05, + "loss": 1.3545, + "step": 1194 + }, + { + "epoch": 0.3, + "learning_rate": 3.5062500000000005e-05, + "loss": 1.3096, + "step": 1195 + }, + { + "epoch": 0.3, + "learning_rate": 3.505e-05, + "loss": 1.2559, + "step": 1196 + }, + { + "epoch": 0.3, + "learning_rate": 3.50375e-05, + "loss": 1.542, + "step": 1197 + }, + { + "epoch": 0.3, + "learning_rate": 3.5025000000000004e-05, + "loss": 1.3379, + "step": 1198 + }, + { + "epoch": 0.3, + "learning_rate": 3.5012500000000004e-05, + "loss": 1.2793, + "step": 1199 + }, + { + "epoch": 0.3, + "learning_rate": 3.5e-05, + "loss": 1.3584, + "step": 1200 + }, + { + "epoch": 0.3, + "learning_rate": 3.4987500000000003e-05, + "loss": 1.248, + "step": 1201 + }, + { + "epoch": 0.3, + "learning_rate": 3.4975e-05, + "loss": 1.3799, + "step": 1202 + }, + { + "epoch": 0.3, + "learning_rate": 3.49625e-05, + "loss": 1.2178, + "step": 1203 + }, + { + "epoch": 0.3, + "learning_rate": 3.495e-05, + "loss": 1.2158, + "step": 1204 + }, + { + "epoch": 0.3, + "learning_rate": 3.49375e-05, + "loss": 1.4082, + "step": 1205 + }, + { + "epoch": 0.3, + "learning_rate": 3.4925e-05, + "loss": 1.2969, + "step": 1206 + }, + { + "epoch": 0.3, + "learning_rate": 3.49125e-05, + "loss": 1.4219, + "step": 1207 + }, + { + "epoch": 0.3, + "learning_rate": 3.49e-05, + "loss": 1.2041, + "step": 1208 + }, + { + "epoch": 0.3, + "learning_rate": 3.48875e-05, + "loss": 1.2998, + "step": 1209 + }, + { + "epoch": 0.3, + "learning_rate": 3.4875e-05, + "loss": 1.1992, + "step": 1210 + }, + { + "epoch": 0.3, + "learning_rate": 3.48625e-05, + "loss": 1.1016, + "step": 1211 + }, + { + "epoch": 0.3, + "learning_rate": 3.485e-05, + "loss": 1.3154, + "step": 1212 + }, + { + "epoch": 0.3, + "learning_rate": 3.48375e-05, + "loss": 1.2705, + "step": 1213 + }, + { + "epoch": 0.3, + "learning_rate": 3.4825e-05, + "loss": 1.3193, + "step": 1214 + }, + { + "epoch": 0.3, + "learning_rate": 3.4812500000000006e-05, + "loss": 1.1455, + "step": 1215 + }, + { + "epoch": 0.3, + "learning_rate": 3.48e-05, + "loss": 1.4912, + "step": 1216 + }, + { + "epoch": 0.3, + "learning_rate": 3.47875e-05, + "loss": 1.4463, + "step": 1217 + }, + { + "epoch": 0.3, + "learning_rate": 3.4775000000000005e-05, + "loss": 1.3506, + "step": 1218 + }, + { + "epoch": 0.3, + "learning_rate": 3.4762500000000005e-05, + "loss": 1.4941, + "step": 1219 + }, + { + "epoch": 0.3, + "learning_rate": 3.475e-05, + "loss": 1.4258, + "step": 1220 + }, + { + "epoch": 0.31, + "learning_rate": 3.47375e-05, + "loss": 1.0801, + "step": 1221 + }, + { + "epoch": 0.31, + "learning_rate": 3.4725000000000004e-05, + "loss": 1.3447, + "step": 1222 + }, + { + "epoch": 0.31, + "learning_rate": 3.4712500000000003e-05, + "loss": 1.0938, + "step": 1223 + }, + { + "epoch": 0.31, + "learning_rate": 3.4699999999999996e-05, + "loss": 1.3096, + "step": 1224 + }, + { + "epoch": 0.31, + "learning_rate": 3.46875e-05, + "loss": 1.1729, + "step": 1225 + }, + { + "epoch": 0.31, + "learning_rate": 3.4675e-05, + "loss": 1.4648, + "step": 1226 + }, + { + "epoch": 0.31, + "learning_rate": 3.46625e-05, + "loss": 1.2432, + "step": 1227 + }, + { + "epoch": 0.31, + "learning_rate": 3.465e-05, + "loss": 1.2061, + "step": 1228 + }, + { + "epoch": 0.31, + "learning_rate": 3.46375e-05, + "loss": 1.126, + "step": 1229 + }, + { + "epoch": 0.31, + "learning_rate": 3.4625e-05, + "loss": 1.085, + "step": 1230 + }, + { + "epoch": 0.31, + "learning_rate": 3.46125e-05, + "loss": 1.0498, + "step": 1231 + }, + { + "epoch": 0.31, + "learning_rate": 3.46e-05, + "loss": 0.9463, + "step": 1232 + }, + { + "epoch": 0.31, + "learning_rate": 3.45875e-05, + "loss": 1.3916, + "step": 1233 + }, + { + "epoch": 0.31, + "learning_rate": 3.4575e-05, + "loss": 1.0703, + "step": 1234 + }, + { + "epoch": 0.31, + "learning_rate": 3.45625e-05, + "loss": 1.3281, + "step": 1235 + }, + { + "epoch": 0.31, + "learning_rate": 3.455e-05, + "loss": 1.5742, + "step": 1236 + }, + { + "epoch": 0.31, + "learning_rate": 3.45375e-05, + "loss": 1.2344, + "step": 1237 + }, + { + "epoch": 0.31, + "learning_rate": 3.4525e-05, + "loss": 1.3252, + "step": 1238 + }, + { + "epoch": 0.31, + "learning_rate": 3.4512500000000005e-05, + "loss": 1.3076, + "step": 1239 + }, + { + "epoch": 0.31, + "learning_rate": 3.45e-05, + "loss": 1.3262, + "step": 1240 + }, + { + "epoch": 0.31, + "learning_rate": 3.44875e-05, + "loss": 1.2783, + "step": 1241 + }, + { + "epoch": 0.31, + "learning_rate": 3.4475000000000005e-05, + "loss": 1.1035, + "step": 1242 + }, + { + "epoch": 0.31, + "learning_rate": 3.4462500000000004e-05, + "loss": 1.3584, + "step": 1243 + }, + { + "epoch": 0.31, + "learning_rate": 3.445e-05, + "loss": 1.2373, + "step": 1244 + }, + { + "epoch": 0.31, + "learning_rate": 3.4437500000000004e-05, + "loss": 1.335, + "step": 1245 + }, + { + "epoch": 0.31, + "learning_rate": 3.4425e-05, + "loss": 1.3457, + "step": 1246 + }, + { + "epoch": 0.31, + "learning_rate": 3.44125e-05, + "loss": 1.0176, + "step": 1247 + }, + { + "epoch": 0.31, + "learning_rate": 3.4399999999999996e-05, + "loss": 1.5439, + "step": 1248 + }, + { + "epoch": 0.31, + "learning_rate": 3.43875e-05, + "loss": 1.2422, + "step": 1249 + }, + { + "epoch": 0.31, + "learning_rate": 3.4375e-05, + "loss": 1.498, + "step": 1250 + }, + { + "epoch": 0.31, + "learning_rate": 3.43625e-05, + "loss": 1.4229, + "step": 1251 + }, + { + "epoch": 0.31, + "learning_rate": 3.435e-05, + "loss": 1.498, + "step": 1252 + }, + { + "epoch": 0.31, + "learning_rate": 3.43375e-05, + "loss": 1.4043, + "step": 1253 + }, + { + "epoch": 0.31, + "learning_rate": 3.4325e-05, + "loss": 1.2324, + "step": 1254 + }, + { + "epoch": 0.31, + "learning_rate": 3.43125e-05, + "loss": 1.3486, + "step": 1255 + }, + { + "epoch": 0.31, + "learning_rate": 3.430000000000001e-05, + "loss": 1.1729, + "step": 1256 + }, + { + "epoch": 0.31, + "learning_rate": 3.42875e-05, + "loss": 1.2363, + "step": 1257 + }, + { + "epoch": 0.31, + "learning_rate": 3.4275e-05, + "loss": 1.4473, + "step": 1258 + }, + { + "epoch": 0.31, + "learning_rate": 3.4262500000000006e-05, + "loss": 1.3438, + "step": 1259 + }, + { + "epoch": 0.32, + "learning_rate": 3.4250000000000006e-05, + "loss": 1.2549, + "step": 1260 + }, + { + "epoch": 0.32, + "learning_rate": 3.42375e-05, + "loss": 1.3105, + "step": 1261 + }, + { + "epoch": 0.32, + "learning_rate": 3.4225e-05, + "loss": 1.2568, + "step": 1262 + }, + { + "epoch": 0.32, + "learning_rate": 3.4212500000000005e-05, + "loss": 1.2285, + "step": 1263 + }, + { + "epoch": 0.32, + "learning_rate": 3.4200000000000005e-05, + "loss": 1.458, + "step": 1264 + }, + { + "epoch": 0.32, + "learning_rate": 3.41875e-05, + "loss": 1.6045, + "step": 1265 + }, + { + "epoch": 0.32, + "learning_rate": 3.4175000000000004e-05, + "loss": 1.3115, + "step": 1266 + }, + { + "epoch": 0.32, + "learning_rate": 3.4162500000000004e-05, + "loss": 1.3838, + "step": 1267 + }, + { + "epoch": 0.32, + "learning_rate": 3.415e-05, + "loss": 1.2646, + "step": 1268 + }, + { + "epoch": 0.32, + "learning_rate": 3.41375e-05, + "loss": 1.3936, + "step": 1269 + }, + { + "epoch": 0.32, + "learning_rate": 3.4125e-05, + "loss": 1.2324, + "step": 1270 + }, + { + "epoch": 0.32, + "learning_rate": 3.41125e-05, + "loss": 0.9497, + "step": 1271 + }, + { + "epoch": 0.32, + "learning_rate": 3.41e-05, + "loss": 0.8579, + "step": 1272 + }, + { + "epoch": 0.32, + "learning_rate": 3.40875e-05, + "loss": 1.3271, + "step": 1273 + }, + { + "epoch": 0.32, + "learning_rate": 3.4075e-05, + "loss": 1.4785, + "step": 1274 + }, + { + "epoch": 0.32, + "learning_rate": 3.40625e-05, + "loss": 1.168, + "step": 1275 + }, + { + "epoch": 0.32, + "learning_rate": 3.405e-05, + "loss": 1.3164, + "step": 1276 + }, + { + "epoch": 0.32, + "learning_rate": 3.40375e-05, + "loss": 1.3291, + "step": 1277 + }, + { + "epoch": 0.32, + "learning_rate": 3.4025e-05, + "loss": 1.2637, + "step": 1278 + }, + { + "epoch": 0.32, + "learning_rate": 3.40125e-05, + "loss": 1.2568, + "step": 1279 + }, + { + "epoch": 0.32, + "learning_rate": 3.4000000000000007e-05, + "loss": 1.2607, + "step": 1280 + }, + { + "epoch": 0.32, + "learning_rate": 3.39875e-05, + "loss": 1.3164, + "step": 1281 + }, + { + "epoch": 0.32, + "learning_rate": 3.3975e-05, + "loss": 1.2266, + "step": 1282 + }, + { + "epoch": 0.32, + "learning_rate": 3.3962500000000006e-05, + "loss": 1.3506, + "step": 1283 + }, + { + "epoch": 0.32, + "learning_rate": 3.3950000000000005e-05, + "loss": 1.3555, + "step": 1284 + }, + { + "epoch": 0.32, + "learning_rate": 3.39375e-05, + "loss": 1.3594, + "step": 1285 + }, + { + "epoch": 0.32, + "learning_rate": 3.3925e-05, + "loss": 1.2793, + "step": 1286 + }, + { + "epoch": 0.32, + "learning_rate": 3.3912500000000004e-05, + "loss": 1.4092, + "step": 1287 + }, + { + "epoch": 0.32, + "learning_rate": 3.3900000000000004e-05, + "loss": 1.0908, + "step": 1288 + }, + { + "epoch": 0.32, + "learning_rate": 3.38875e-05, + "loss": 1.4971, + "step": 1289 + }, + { + "epoch": 0.32, + "learning_rate": 3.3875000000000003e-05, + "loss": 1.4951, + "step": 1290 + }, + { + "epoch": 0.32, + "learning_rate": 3.38625e-05, + "loss": 1.1885, + "step": 1291 + }, + { + "epoch": 0.32, + "learning_rate": 3.385e-05, + "loss": 1.251, + "step": 1292 + }, + { + "epoch": 0.32, + "learning_rate": 3.38375e-05, + "loss": 1.5693, + "step": 1293 + }, + { + "epoch": 0.32, + "learning_rate": 3.3825e-05, + "loss": 1.4561, + "step": 1294 + }, + { + "epoch": 0.32, + "learning_rate": 3.38125e-05, + "loss": 1.251, + "step": 1295 + }, + { + "epoch": 0.32, + "learning_rate": 3.38e-05, + "loss": 1.2754, + "step": 1296 + }, + { + "epoch": 0.32, + "learning_rate": 3.37875e-05, + "loss": 1.4287, + "step": 1297 + }, + { + "epoch": 0.32, + "learning_rate": 3.3775e-05, + "loss": 1.0977, + "step": 1298 + }, + { + "epoch": 0.32, + "learning_rate": 3.37625e-05, + "loss": 1.1836, + "step": 1299 + }, + { + "epoch": 0.33, + "learning_rate": 3.375000000000001e-05, + "loss": 1.335, + "step": 1300 + }, + { + "epoch": 0.33, + "learning_rate": 3.37375e-05, + "loss": 1.3125, + "step": 1301 + }, + { + "epoch": 0.33, + "learning_rate": 3.3725e-05, + "loss": 1.5264, + "step": 1302 + }, + { + "epoch": 0.33, + "learning_rate": 3.37125e-05, + "loss": 1.1992, + "step": 1303 + }, + { + "epoch": 0.33, + "learning_rate": 3.3700000000000006e-05, + "loss": 1.1211, + "step": 1304 + }, + { + "epoch": 0.33, + "learning_rate": 3.36875e-05, + "loss": 1.3701, + "step": 1305 + }, + { + "epoch": 0.33, + "learning_rate": 3.3675e-05, + "loss": 1.3584, + "step": 1306 + }, + { + "epoch": 0.33, + "learning_rate": 3.3662500000000005e-05, + "loss": 1.1543, + "step": 1307 + }, + { + "epoch": 0.33, + "learning_rate": 3.3650000000000005e-05, + "loss": 1.3994, + "step": 1308 + }, + { + "epoch": 0.33, + "learning_rate": 3.36375e-05, + "loss": 1.2881, + "step": 1309 + }, + { + "epoch": 0.33, + "learning_rate": 3.3625000000000004e-05, + "loss": 1.0586, + "step": 1310 + }, + { + "epoch": 0.33, + "learning_rate": 3.3612500000000004e-05, + "loss": 1.2305, + "step": 1311 + }, + { + "epoch": 0.33, + "learning_rate": 3.3600000000000004e-05, + "loss": 1.1982, + "step": 1312 + }, + { + "epoch": 0.33, + "learning_rate": 3.3587499999999996e-05, + "loss": 1.084, + "step": 1313 + }, + { + "epoch": 0.33, + "learning_rate": 3.3575e-05, + "loss": 1.2324, + "step": 1314 + }, + { + "epoch": 0.33, + "learning_rate": 3.35625e-05, + "loss": 1.4414, + "step": 1315 + }, + { + "epoch": 0.33, + "learning_rate": 3.355e-05, + "loss": 1.2803, + "step": 1316 + }, + { + "epoch": 0.33, + "learning_rate": 3.35375e-05, + "loss": 1.2393, + "step": 1317 + }, + { + "epoch": 0.33, + "learning_rate": 3.3525e-05, + "loss": 1.2148, + "step": 1318 + }, + { + "epoch": 0.33, + "learning_rate": 3.35125e-05, + "loss": 1.4492, + "step": 1319 + }, + { + "epoch": 0.33, + "learning_rate": 3.35e-05, + "loss": 1.2227, + "step": 1320 + }, + { + "epoch": 0.33, + "learning_rate": 3.34875e-05, + "loss": 1.5527, + "step": 1321 + }, + { + "epoch": 0.33, + "learning_rate": 3.3475e-05, + "loss": 1.0098, + "step": 1322 + }, + { + "epoch": 0.33, + "learning_rate": 3.34625e-05, + "loss": 1.5029, + "step": 1323 + }, + { + "epoch": 0.33, + "learning_rate": 3.345000000000001e-05, + "loss": 1.248, + "step": 1324 + }, + { + "epoch": 0.33, + "learning_rate": 3.34375e-05, + "loss": 1.2939, + "step": 1325 + }, + { + "epoch": 0.33, + "learning_rate": 3.3425e-05, + "loss": 1.4971, + "step": 1326 + }, + { + "epoch": 0.33, + "learning_rate": 3.34125e-05, + "loss": 1.2881, + "step": 1327 + }, + { + "epoch": 0.33, + "learning_rate": 3.3400000000000005e-05, + "loss": 1.4365, + "step": 1328 + }, + { + "epoch": 0.33, + "learning_rate": 3.33875e-05, + "loss": 1.3535, + "step": 1329 + }, + { + "epoch": 0.33, + "learning_rate": 3.3375e-05, + "loss": 1.417, + "step": 1330 + }, + { + "epoch": 0.33, + "learning_rate": 3.3362500000000005e-05, + "loss": 1.5557, + "step": 1331 + }, + { + "epoch": 0.33, + "learning_rate": 3.3350000000000004e-05, + "loss": 1.3154, + "step": 1332 + }, + { + "epoch": 0.33, + "learning_rate": 3.33375e-05, + "loss": 1.2412, + "step": 1333 + }, + { + "epoch": 0.33, + "learning_rate": 3.3325000000000004e-05, + "loss": 1.3467, + "step": 1334 + }, + { + "epoch": 0.33, + "learning_rate": 3.33125e-05, + "loss": 1.1523, + "step": 1335 + }, + { + "epoch": 0.33, + "learning_rate": 3.33e-05, + "loss": 1.2891, + "step": 1336 + }, + { + "epoch": 0.33, + "learning_rate": 3.3287499999999996e-05, + "loss": 1.4531, + "step": 1337 + }, + { + "epoch": 0.33, + "learning_rate": 3.3275e-05, + "loss": 1.4043, + "step": 1338 + }, + { + "epoch": 0.33, + "learning_rate": 3.32625e-05, + "loss": 1.2266, + "step": 1339 + }, + { + "epoch": 0.34, + "learning_rate": 3.325e-05, + "loss": 1.4219, + "step": 1340 + }, + { + "epoch": 0.34, + "learning_rate": 3.32375e-05, + "loss": 1.2637, + "step": 1341 + }, + { + "epoch": 0.34, + "learning_rate": 3.3225e-05, + "loss": 1.3193, + "step": 1342 + }, + { + "epoch": 0.34, + "learning_rate": 3.32125e-05, + "loss": 1.2754, + "step": 1343 + }, + { + "epoch": 0.34, + "learning_rate": 3.32e-05, + "loss": 1.2891, + "step": 1344 + }, + { + "epoch": 0.34, + "learning_rate": 3.31875e-05, + "loss": 1.4824, + "step": 1345 + }, + { + "epoch": 0.34, + "learning_rate": 3.3175e-05, + "loss": 1.2432, + "step": 1346 + }, + { + "epoch": 0.34, + "learning_rate": 3.31625e-05, + "loss": 1.1191, + "step": 1347 + }, + { + "epoch": 0.34, + "learning_rate": 3.3150000000000006e-05, + "loss": 1.0879, + "step": 1348 + }, + { + "epoch": 0.34, + "learning_rate": 3.31375e-05, + "loss": 1.1689, + "step": 1349 + }, + { + "epoch": 0.34, + "learning_rate": 3.3125e-05, + "loss": 1.1328, + "step": 1350 + }, + { + "epoch": 0.34, + "learning_rate": 3.31125e-05, + "loss": 1.2676, + "step": 1351 + }, + { + "epoch": 0.34, + "learning_rate": 3.3100000000000005e-05, + "loss": 1.1895, + "step": 1352 + }, + { + "epoch": 0.34, + "learning_rate": 3.30875e-05, + "loss": 1.4727, + "step": 1353 + }, + { + "epoch": 0.34, + "learning_rate": 3.3075e-05, + "loss": 1.3643, + "step": 1354 + }, + { + "epoch": 0.34, + "learning_rate": 3.3062500000000004e-05, + "loss": 1.082, + "step": 1355 + }, + { + "epoch": 0.34, + "learning_rate": 3.3050000000000004e-05, + "loss": 1.2725, + "step": 1356 + }, + { + "epoch": 0.34, + "learning_rate": 3.30375e-05, + "loss": 1.0879, + "step": 1357 + }, + { + "epoch": 0.34, + "learning_rate": 3.3025e-05, + "loss": 1.4346, + "step": 1358 + }, + { + "epoch": 0.34, + "learning_rate": 3.30125e-05, + "loss": 1.1455, + "step": 1359 + }, + { + "epoch": 0.34, + "learning_rate": 3.3e-05, + "loss": 1.3105, + "step": 1360 + }, + { + "epoch": 0.34, + "learning_rate": 3.29875e-05, + "loss": 1.2744, + "step": 1361 + }, + { + "epoch": 0.34, + "learning_rate": 3.2975e-05, + "loss": 1.2441, + "step": 1362 + }, + { + "epoch": 0.34, + "learning_rate": 3.29625e-05, + "loss": 1.4414, + "step": 1363 + }, + { + "epoch": 0.34, + "learning_rate": 3.295e-05, + "loss": 0.9292, + "step": 1364 + }, + { + "epoch": 0.34, + "learning_rate": 3.29375e-05, + "loss": 1.0918, + "step": 1365 + }, + { + "epoch": 0.34, + "learning_rate": 3.2925e-05, + "loss": 1.0869, + "step": 1366 + }, + { + "epoch": 0.34, + "learning_rate": 3.29125e-05, + "loss": 1.2061, + "step": 1367 + }, + { + "epoch": 0.34, + "learning_rate": 3.29e-05, + "loss": 1.332, + "step": 1368 + }, + { + "epoch": 0.34, + "learning_rate": 3.28875e-05, + "loss": 1.252, + "step": 1369 + }, + { + "epoch": 0.34, + "learning_rate": 3.2875e-05, + "loss": 1.1064, + "step": 1370 + }, + { + "epoch": 0.34, + "learning_rate": 3.28625e-05, + "loss": 1.1572, + "step": 1371 + }, + { + "epoch": 0.34, + "learning_rate": 3.2850000000000006e-05, + "loss": 1.4609, + "step": 1372 + }, + { + "epoch": 0.34, + "learning_rate": 3.28375e-05, + "loss": 1.4668, + "step": 1373 + }, + { + "epoch": 0.34, + "learning_rate": 3.2825e-05, + "loss": 1.1318, + "step": 1374 + }, + { + "epoch": 0.34, + "learning_rate": 3.2812500000000005e-05, + "loss": 1.2207, + "step": 1375 + }, + { + "epoch": 0.34, + "learning_rate": 3.2800000000000004e-05, + "loss": 1.2959, + "step": 1376 + }, + { + "epoch": 0.34, + "learning_rate": 3.2787500000000004e-05, + "loss": 1.1318, + "step": 1377 + }, + { + "epoch": 0.34, + "learning_rate": 3.2775e-05, + "loss": 1.0918, + "step": 1378 + }, + { + "epoch": 0.34, + "learning_rate": 3.2762500000000004e-05, + "loss": 1.1631, + "step": 1379 + }, + { + "epoch": 0.34, + "learning_rate": 3.275e-05, + "loss": 1.3369, + "step": 1380 + }, + { + "epoch": 0.35, + "learning_rate": 3.27375e-05, + "loss": 1.2891, + "step": 1381 + }, + { + "epoch": 0.35, + "learning_rate": 3.2725e-05, + "loss": 1.0879, + "step": 1382 + }, + { + "epoch": 0.35, + "learning_rate": 3.27125e-05, + "loss": 0.9976, + "step": 1383 + }, + { + "epoch": 0.35, + "learning_rate": 3.27e-05, + "loss": 1.1064, + "step": 1384 + }, + { + "epoch": 0.35, + "learning_rate": 3.26875e-05, + "loss": 1.6338, + "step": 1385 + }, + { + "epoch": 0.35, + "learning_rate": 3.2675e-05, + "loss": 1.2725, + "step": 1386 + }, + { + "epoch": 0.35, + "learning_rate": 3.26625e-05, + "loss": 1.0498, + "step": 1387 + }, + { + "epoch": 0.35, + "learning_rate": 3.265e-05, + "loss": 1.0576, + "step": 1388 + }, + { + "epoch": 0.35, + "learning_rate": 3.263750000000001e-05, + "loss": 1.3457, + "step": 1389 + }, + { + "epoch": 0.35, + "learning_rate": 3.2625e-05, + "loss": 1.4082, + "step": 1390 + }, + { + "epoch": 0.35, + "learning_rate": 3.26125e-05, + "loss": 1.1846, + "step": 1391 + }, + { + "epoch": 0.35, + "learning_rate": 3.26e-05, + "loss": 1.5312, + "step": 1392 + }, + { + "epoch": 0.35, + "learning_rate": 3.2587500000000006e-05, + "loss": 1.2881, + "step": 1393 + }, + { + "epoch": 0.35, + "learning_rate": 3.2575e-05, + "loss": 1.0508, + "step": 1394 + }, + { + "epoch": 0.35, + "learning_rate": 3.25625e-05, + "loss": 1.4756, + "step": 1395 + }, + { + "epoch": 0.35, + "learning_rate": 3.2550000000000005e-05, + "loss": 1.1729, + "step": 1396 + }, + { + "epoch": 0.35, + "learning_rate": 3.2537500000000005e-05, + "loss": 1.3506, + "step": 1397 + }, + { + "epoch": 0.35, + "learning_rate": 3.2525e-05, + "loss": 1.0508, + "step": 1398 + }, + { + "epoch": 0.35, + "learning_rate": 3.2512500000000004e-05, + "loss": 1.3262, + "step": 1399 + }, + { + "epoch": 0.35, + "learning_rate": 3.2500000000000004e-05, + "loss": 1.4307, + "step": 1400 + }, + { + "epoch": 0.35, + "learning_rate": 3.2487500000000004e-05, + "loss": 1.376, + "step": 1401 + }, + { + "epoch": 0.35, + "learning_rate": 3.2474999999999997e-05, + "loss": 1.3711, + "step": 1402 + }, + { + "epoch": 0.35, + "learning_rate": 3.24625e-05, + "loss": 1.3867, + "step": 1403 + }, + { + "epoch": 0.35, + "learning_rate": 3.245e-05, + "loss": 1.4453, + "step": 1404 + }, + { + "epoch": 0.35, + "learning_rate": 3.24375e-05, + "loss": 1.0645, + "step": 1405 + }, + { + "epoch": 0.35, + "learning_rate": 3.2425e-05, + "loss": 1.4248, + "step": 1406 + }, + { + "epoch": 0.35, + "learning_rate": 3.24125e-05, + "loss": 1.2725, + "step": 1407 + }, + { + "epoch": 0.35, + "learning_rate": 3.24e-05, + "loss": 1.3105, + "step": 1408 + }, + { + "epoch": 0.35, + "learning_rate": 3.23875e-05, + "loss": 1.0283, + "step": 1409 + }, + { + "epoch": 0.35, + "learning_rate": 3.2375e-05, + "loss": 0.8887, + "step": 1410 + }, + { + "epoch": 0.35, + "learning_rate": 3.23625e-05, + "loss": 1.3027, + "step": 1411 + }, + { + "epoch": 0.35, + "learning_rate": 3.235e-05, + "loss": 1.3184, + "step": 1412 + }, + { + "epoch": 0.35, + "learning_rate": 3.233750000000001e-05, + "loss": 1.2373, + "step": 1413 + }, + { + "epoch": 0.35, + "learning_rate": 3.2325e-05, + "loss": 1.0898, + "step": 1414 + }, + { + "epoch": 0.35, + "learning_rate": 3.23125e-05, + "loss": 1.0283, + "step": 1415 + }, + { + "epoch": 0.35, + "learning_rate": 3.2300000000000006e-05, + "loss": 1.3369, + "step": 1416 + }, + { + "epoch": 0.35, + "learning_rate": 3.2287500000000006e-05, + "loss": 1.1943, + "step": 1417 + }, + { + "epoch": 0.35, + "learning_rate": 3.2275e-05, + "loss": 1.251, + "step": 1418 + }, + { + "epoch": 0.35, + "learning_rate": 3.22625e-05, + "loss": 1.3359, + "step": 1419 + }, + { + "epoch": 0.35, + "learning_rate": 3.2250000000000005e-05, + "loss": 1.1748, + "step": 1420 + }, + { + "epoch": 0.36, + "learning_rate": 3.2237500000000004e-05, + "loss": 0.979, + "step": 1421 + }, + { + "epoch": 0.36, + "learning_rate": 3.2225e-05, + "loss": 1.3594, + "step": 1422 + }, + { + "epoch": 0.36, + "learning_rate": 3.2212500000000004e-05, + "loss": 1.2715, + "step": 1423 + }, + { + "epoch": 0.36, + "learning_rate": 3.2200000000000003e-05, + "loss": 1.249, + "step": 1424 + }, + { + "epoch": 0.36, + "learning_rate": 3.21875e-05, + "loss": 1.2686, + "step": 1425 + }, + { + "epoch": 0.36, + "learning_rate": 3.2175e-05, + "loss": 1.1328, + "step": 1426 + }, + { + "epoch": 0.36, + "learning_rate": 3.21625e-05, + "loss": 1.46, + "step": 1427 + }, + { + "epoch": 0.36, + "learning_rate": 3.215e-05, + "loss": 1.2178, + "step": 1428 + }, + { + "epoch": 0.36, + "learning_rate": 3.21375e-05, + "loss": 1.3438, + "step": 1429 + }, + { + "epoch": 0.36, + "learning_rate": 3.2125e-05, + "loss": 1.666, + "step": 1430 + }, + { + "epoch": 0.36, + "learning_rate": 3.21125e-05, + "loss": 1.2178, + "step": 1431 + }, + { + "epoch": 0.36, + "learning_rate": 3.21e-05, + "loss": 1.1406, + "step": 1432 + }, + { + "epoch": 0.36, + "learning_rate": 3.20875e-05, + "loss": 1.2627, + "step": 1433 + }, + { + "epoch": 0.36, + "learning_rate": 3.2075e-05, + "loss": 1.3887, + "step": 1434 + }, + { + "epoch": 0.36, + "learning_rate": 3.20625e-05, + "loss": 1.1943, + "step": 1435 + }, + { + "epoch": 0.36, + "learning_rate": 3.205e-05, + "loss": 1.5547, + "step": 1436 + }, + { + "epoch": 0.36, + "learning_rate": 3.2037500000000006e-05, + "loss": 1.0479, + "step": 1437 + }, + { + "epoch": 0.36, + "learning_rate": 3.2025e-05, + "loss": 1.29, + "step": 1438 + }, + { + "epoch": 0.36, + "learning_rate": 3.20125e-05, + "loss": 1.3008, + "step": 1439 + }, + { + "epoch": 0.36, + "learning_rate": 3.2000000000000005e-05, + "loss": 1.4775, + "step": 1440 + }, + { + "epoch": 0.36, + "learning_rate": 3.1987500000000005e-05, + "loss": 1.4639, + "step": 1441 + }, + { + "epoch": 0.36, + "learning_rate": 3.1975e-05, + "loss": 1.0547, + "step": 1442 + }, + { + "epoch": 0.36, + "learning_rate": 3.19625e-05, + "loss": 1.4414, + "step": 1443 + }, + { + "epoch": 0.36, + "learning_rate": 3.1950000000000004e-05, + "loss": 1.3252, + "step": 1444 + }, + { + "epoch": 0.36, + "learning_rate": 3.1937500000000004e-05, + "loss": 1.2832, + "step": 1445 + }, + { + "epoch": 0.36, + "learning_rate": 3.1925e-05, + "loss": 1.3672, + "step": 1446 + }, + { + "epoch": 0.36, + "learning_rate": 3.19125e-05, + "loss": 1.3545, + "step": 1447 + }, + { + "epoch": 0.36, + "learning_rate": 3.19e-05, + "loss": 1.1006, + "step": 1448 + }, + { + "epoch": 0.36, + "learning_rate": 3.18875e-05, + "loss": 1.2559, + "step": 1449 + }, + { + "epoch": 0.36, + "learning_rate": 3.1875e-05, + "loss": 1.3945, + "step": 1450 + }, + { + "epoch": 0.36, + "learning_rate": 3.18625e-05, + "loss": 1.3105, + "step": 1451 + }, + { + "epoch": 0.36, + "learning_rate": 3.185e-05, + "loss": 1.2461, + "step": 1452 + }, + { + "epoch": 0.36, + "learning_rate": 3.18375e-05, + "loss": 1.1504, + "step": 1453 + }, + { + "epoch": 0.36, + "learning_rate": 3.1825e-05, + "loss": 1.6436, + "step": 1454 + }, + { + "epoch": 0.36, + "learning_rate": 3.18125e-05, + "loss": 1.1611, + "step": 1455 + }, + { + "epoch": 0.36, + "learning_rate": 3.18e-05, + "loss": 1.2119, + "step": 1456 + }, + { + "epoch": 0.36, + "learning_rate": 3.17875e-05, + "loss": 1.2656, + "step": 1457 + }, + { + "epoch": 0.36, + "learning_rate": 3.1775e-05, + "loss": 1.542, + "step": 1458 + }, + { + "epoch": 0.36, + "learning_rate": 3.17625e-05, + "loss": 1.3623, + "step": 1459 + }, + { + "epoch": 0.36, + "learning_rate": 3.175e-05, + "loss": 1.125, + "step": 1460 + }, + { + "epoch": 0.37, + "learning_rate": 3.1737500000000006e-05, + "loss": 1.0186, + "step": 1461 + }, + { + "epoch": 0.37, + "learning_rate": 3.1725e-05, + "loss": 1.3447, + "step": 1462 + }, + { + "epoch": 0.37, + "learning_rate": 3.17125e-05, + "loss": 1.4268, + "step": 1463 + }, + { + "epoch": 0.37, + "learning_rate": 3.1700000000000005e-05, + "loss": 1.1885, + "step": 1464 + }, + { + "epoch": 0.37, + "learning_rate": 3.1687500000000005e-05, + "loss": 1.2012, + "step": 1465 + }, + { + "epoch": 0.37, + "learning_rate": 3.1675e-05, + "loss": 1.1943, + "step": 1466 + }, + { + "epoch": 0.37, + "learning_rate": 3.16625e-05, + "loss": 1.1689, + "step": 1467 + }, + { + "epoch": 0.37, + "learning_rate": 3.1650000000000004e-05, + "loss": 1.0049, + "step": 1468 + }, + { + "epoch": 0.37, + "learning_rate": 3.16375e-05, + "loss": 1.2061, + "step": 1469 + }, + { + "epoch": 0.37, + "learning_rate": 3.1624999999999996e-05, + "loss": 1.2256, + "step": 1470 + }, + { + "epoch": 0.37, + "learning_rate": 3.16125e-05, + "loss": 1.3232, + "step": 1471 + }, + { + "epoch": 0.37, + "learning_rate": 3.16e-05, + "loss": 1.3203, + "step": 1472 + }, + { + "epoch": 0.37, + "learning_rate": 3.15875e-05, + "loss": 1.3027, + "step": 1473 + }, + { + "epoch": 0.37, + "learning_rate": 3.1575e-05, + "loss": 1.2002, + "step": 1474 + }, + { + "epoch": 0.37, + "learning_rate": 3.15625e-05, + "loss": 1.2373, + "step": 1475 + }, + { + "epoch": 0.37, + "learning_rate": 3.155e-05, + "loss": 1.0684, + "step": 1476 + }, + { + "epoch": 0.37, + "learning_rate": 3.15375e-05, + "loss": 1.2471, + "step": 1477 + }, + { + "epoch": 0.37, + "learning_rate": 3.1525e-05, + "loss": 1.25, + "step": 1478 + }, + { + "epoch": 0.37, + "learning_rate": 3.15125e-05, + "loss": 1.2461, + "step": 1479 + }, + { + "epoch": 0.37, + "learning_rate": 3.15e-05, + "loss": 1.3096, + "step": 1480 + }, + { + "epoch": 0.37, + "learning_rate": 3.1487500000000006e-05, + "loss": 1.207, + "step": 1481 + }, + { + "epoch": 0.37, + "learning_rate": 3.1475e-05, + "loss": 1.168, + "step": 1482 + }, + { + "epoch": 0.37, + "learning_rate": 3.14625e-05, + "loss": 1.1729, + "step": 1483 + }, + { + "epoch": 0.37, + "learning_rate": 3.145e-05, + "loss": 1.4189, + "step": 1484 + }, + { + "epoch": 0.37, + "learning_rate": 3.1437500000000005e-05, + "loss": 1.3213, + "step": 1485 + }, + { + "epoch": 0.37, + "learning_rate": 3.1425e-05, + "loss": 1.3584, + "step": 1486 + }, + { + "epoch": 0.37, + "learning_rate": 3.14125e-05, + "loss": 1.3311, + "step": 1487 + }, + { + "epoch": 0.37, + "learning_rate": 3.1400000000000004e-05, + "loss": 1.1914, + "step": 1488 + }, + { + "epoch": 0.37, + "learning_rate": 3.1387500000000004e-05, + "loss": 1.2715, + "step": 1489 + }, + { + "epoch": 0.37, + "learning_rate": 3.1375e-05, + "loss": 1.1299, + "step": 1490 + }, + { + "epoch": 0.37, + "learning_rate": 3.13625e-05, + "loss": 1.5498, + "step": 1491 + }, + { + "epoch": 0.37, + "learning_rate": 3.135e-05, + "loss": 1.2441, + "step": 1492 + }, + { + "epoch": 0.37, + "learning_rate": 3.13375e-05, + "loss": 1.4102, + "step": 1493 + }, + { + "epoch": 0.37, + "learning_rate": 3.1324999999999996e-05, + "loss": 1.4072, + "step": 1494 + }, + { + "epoch": 0.37, + "learning_rate": 3.13125e-05, + "loss": 1.4434, + "step": 1495 + }, + { + "epoch": 0.37, + "learning_rate": 3.13e-05, + "loss": 1.3252, + "step": 1496 + }, + { + "epoch": 0.37, + "learning_rate": 3.12875e-05, + "loss": 1.3496, + "step": 1497 + }, + { + "epoch": 0.37, + "learning_rate": 3.1275e-05, + "loss": 1.208, + "step": 1498 + }, + { + "epoch": 0.37, + "learning_rate": 3.12625e-05, + "loss": 1.5273, + "step": 1499 + }, + { + "epoch": 0.38, + "learning_rate": 3.125e-05, + "loss": 1.4863, + "step": 1500 + }, + { + "epoch": 0.38, + "learning_rate": 3.12375e-05, + "loss": 1.2764, + "step": 1501 + }, + { + "epoch": 0.38, + "learning_rate": 3.122500000000001e-05, + "loss": 1.0059, + "step": 1502 + }, + { + "epoch": 0.38, + "learning_rate": 3.12125e-05, + "loss": 1.2568, + "step": 1503 + }, + { + "epoch": 0.38, + "learning_rate": 3.12e-05, + "loss": 1.2119, + "step": 1504 + }, + { + "epoch": 0.38, + "learning_rate": 3.1187500000000006e-05, + "loss": 1.1816, + "step": 1505 + }, + { + "epoch": 0.38, + "learning_rate": 3.1175000000000006e-05, + "loss": 1.1943, + "step": 1506 + }, + { + "epoch": 0.38, + "learning_rate": 3.11625e-05, + "loss": 0.8667, + "step": 1507 + }, + { + "epoch": 0.38, + "learning_rate": 3.115e-05, + "loss": 1.2979, + "step": 1508 + }, + { + "epoch": 0.38, + "learning_rate": 3.1137500000000005e-05, + "loss": 1.1182, + "step": 1509 + }, + { + "epoch": 0.38, + "learning_rate": 3.1125000000000004e-05, + "loss": 1.0293, + "step": 1510 + }, + { + "epoch": 0.38, + "learning_rate": 3.11125e-05, + "loss": 1.3057, + "step": 1511 + }, + { + "epoch": 0.38, + "learning_rate": 3.1100000000000004e-05, + "loss": 1.1123, + "step": 1512 + }, + { + "epoch": 0.38, + "learning_rate": 3.1087500000000003e-05, + "loss": 1.1914, + "step": 1513 + }, + { + "epoch": 0.38, + "learning_rate": 3.1075e-05, + "loss": 1.3799, + "step": 1514 + }, + { + "epoch": 0.38, + "learning_rate": 3.10625e-05, + "loss": 1.4736, + "step": 1515 + }, + { + "epoch": 0.38, + "learning_rate": 3.105e-05, + "loss": 1.2646, + "step": 1516 + }, + { + "epoch": 0.38, + "learning_rate": 3.10375e-05, + "loss": 1.3818, + "step": 1517 + }, + { + "epoch": 0.38, + "learning_rate": 3.1025e-05, + "loss": 1.0898, + "step": 1518 + }, + { + "epoch": 0.38, + "learning_rate": 3.10125e-05, + "loss": 1.2568, + "step": 1519 + }, + { + "epoch": 0.38, + "learning_rate": 3.1e-05, + "loss": 1.1348, + "step": 1520 + }, + { + "epoch": 0.38, + "learning_rate": 3.09875e-05, + "loss": 1.4785, + "step": 1521 + }, + { + "epoch": 0.38, + "learning_rate": 3.0975e-05, + "loss": 1.291, + "step": 1522 + }, + { + "epoch": 0.38, + "learning_rate": 3.09625e-05, + "loss": 0.9766, + "step": 1523 + }, + { + "epoch": 0.38, + "learning_rate": 3.095e-05, + "loss": 1.3779, + "step": 1524 + }, + { + "epoch": 0.38, + "learning_rate": 3.09375e-05, + "loss": 1.2949, + "step": 1525 + }, + { + "epoch": 0.38, + "learning_rate": 3.0925000000000006e-05, + "loss": 1.3965, + "step": 1526 + }, + { + "epoch": 0.38, + "learning_rate": 3.09125e-05, + "loss": 1.3711, + "step": 1527 + }, + { + "epoch": 0.38, + "learning_rate": 3.09e-05, + "loss": 1.4717, + "step": 1528 + }, + { + "epoch": 0.38, + "learning_rate": 3.0887500000000005e-05, + "loss": 0.8662, + "step": 1529 + }, + { + "epoch": 0.38, + "learning_rate": 3.0875000000000005e-05, + "loss": 1.1465, + "step": 1530 + }, + { + "epoch": 0.38, + "learning_rate": 3.08625e-05, + "loss": 1.2754, + "step": 1531 + }, + { + "epoch": 0.38, + "learning_rate": 3.0850000000000004e-05, + "loss": 1.3926, + "step": 1532 + }, + { + "epoch": 0.38, + "learning_rate": 3.0837500000000004e-05, + "loss": 1.1953, + "step": 1533 + }, + { + "epoch": 0.38, + "learning_rate": 3.0825000000000004e-05, + "loss": 1.4141, + "step": 1534 + }, + { + "epoch": 0.38, + "learning_rate": 3.08125e-05, + "loss": 1.3281, + "step": 1535 + }, + { + "epoch": 0.38, + "learning_rate": 3.08e-05, + "loss": 1.1963, + "step": 1536 + }, + { + "epoch": 0.38, + "learning_rate": 3.07875e-05, + "loss": 1.2715, + "step": 1537 + }, + { + "epoch": 0.38, + "learning_rate": 3.0775e-05, + "loss": 1.4609, + "step": 1538 + }, + { + "epoch": 0.38, + "learning_rate": 3.07625e-05, + "loss": 1.3545, + "step": 1539 + }, + { + "epoch": 0.39, + "learning_rate": 3.075e-05, + "loss": 1.4775, + "step": 1540 + }, + { + "epoch": 0.39, + "learning_rate": 3.07375e-05, + "loss": 1.1377, + "step": 1541 + }, + { + "epoch": 0.39, + "learning_rate": 3.0725e-05, + "loss": 1.3535, + "step": 1542 + }, + { + "epoch": 0.39, + "learning_rate": 3.07125e-05, + "loss": 1.4141, + "step": 1543 + }, + { + "epoch": 0.39, + "learning_rate": 3.07e-05, + "loss": 1.0811, + "step": 1544 + }, + { + "epoch": 0.39, + "learning_rate": 3.06875e-05, + "loss": 0.9536, + "step": 1545 + }, + { + "epoch": 0.39, + "learning_rate": 3.067500000000001e-05, + "loss": 1.2568, + "step": 1546 + }, + { + "epoch": 0.39, + "learning_rate": 3.06625e-05, + "loss": 1.1855, + "step": 1547 + }, + { + "epoch": 0.39, + "learning_rate": 3.065e-05, + "loss": 1.2666, + "step": 1548 + }, + { + "epoch": 0.39, + "learning_rate": 3.06375e-05, + "loss": 1.3457, + "step": 1549 + }, + { + "epoch": 0.39, + "learning_rate": 3.0625000000000006e-05, + "loss": 1.4102, + "step": 1550 + }, + { + "epoch": 0.39, + "learning_rate": 3.06125e-05, + "loss": 1.3125, + "step": 1551 + }, + { + "epoch": 0.39, + "learning_rate": 3.06e-05, + "loss": 1.2148, + "step": 1552 + }, + { + "epoch": 0.39, + "learning_rate": 3.0587500000000005e-05, + "loss": 1.2871, + "step": 1553 + }, + { + "epoch": 0.39, + "learning_rate": 3.0575000000000005e-05, + "loss": 1.2646, + "step": 1554 + }, + { + "epoch": 0.39, + "learning_rate": 3.05625e-05, + "loss": 1.2393, + "step": 1555 + }, + { + "epoch": 0.39, + "learning_rate": 3.0550000000000004e-05, + "loss": 1.1348, + "step": 1556 + }, + { + "epoch": 0.39, + "learning_rate": 3.0537500000000004e-05, + "loss": 1.2793, + "step": 1557 + }, + { + "epoch": 0.39, + "learning_rate": 3.0525e-05, + "loss": 1.1709, + "step": 1558 + }, + { + "epoch": 0.39, + "learning_rate": 3.05125e-05, + "loss": 1.374, + "step": 1559 + }, + { + "epoch": 0.39, + "learning_rate": 3.05e-05, + "loss": 1.3232, + "step": 1560 + }, + { + "epoch": 0.39, + "learning_rate": 3.0487500000000002e-05, + "loss": 1.2529, + "step": 1561 + }, + { + "epoch": 0.39, + "learning_rate": 3.0475000000000002e-05, + "loss": 1.3037, + "step": 1562 + }, + { + "epoch": 0.39, + "learning_rate": 3.04625e-05, + "loss": 1.3252, + "step": 1563 + }, + { + "epoch": 0.39, + "learning_rate": 3.045e-05, + "loss": 1.2754, + "step": 1564 + }, + { + "epoch": 0.39, + "learning_rate": 3.04375e-05, + "loss": 1.4697, + "step": 1565 + }, + { + "epoch": 0.39, + "learning_rate": 3.0425000000000004e-05, + "loss": 1.2637, + "step": 1566 + }, + { + "epoch": 0.39, + "learning_rate": 3.04125e-05, + "loss": 1.3057, + "step": 1567 + }, + { + "epoch": 0.39, + "learning_rate": 3.04e-05, + "loss": 1.3232, + "step": 1568 + }, + { + "epoch": 0.39, + "learning_rate": 3.0387500000000003e-05, + "loss": 1.2803, + "step": 1569 + }, + { + "epoch": 0.39, + "learning_rate": 3.0375000000000003e-05, + "loss": 1.4551, + "step": 1570 + }, + { + "epoch": 0.39, + "learning_rate": 3.03625e-05, + "loss": 1.2129, + "step": 1571 + }, + { + "epoch": 0.39, + "learning_rate": 3.035e-05, + "loss": 1.3301, + "step": 1572 + }, + { + "epoch": 0.39, + "learning_rate": 3.0337500000000002e-05, + "loss": 1.1367, + "step": 1573 + }, + { + "epoch": 0.39, + "learning_rate": 3.0325000000000002e-05, + "loss": 1.4189, + "step": 1574 + }, + { + "epoch": 0.39, + "learning_rate": 3.0312499999999998e-05, + "loss": 1.4287, + "step": 1575 + }, + { + "epoch": 0.39, + "learning_rate": 3.03e-05, + "loss": 1.0947, + "step": 1576 + }, + { + "epoch": 0.39, + "learning_rate": 3.02875e-05, + "loss": 1.2764, + "step": 1577 + }, + { + "epoch": 0.39, + "learning_rate": 3.0275000000000004e-05, + "loss": 1.2432, + "step": 1578 + }, + { + "epoch": 0.39, + "learning_rate": 3.02625e-05, + "loss": 1.1133, + "step": 1579 + }, + { + "epoch": 0.4, + "learning_rate": 3.025e-05, + "loss": 1.0732, + "step": 1580 + }, + { + "epoch": 0.4, + "learning_rate": 3.0237500000000003e-05, + "loss": 1.3018, + "step": 1581 + }, + { + "epoch": 0.4, + "learning_rate": 3.0225000000000003e-05, + "loss": 1.4414, + "step": 1582 + }, + { + "epoch": 0.4, + "learning_rate": 3.02125e-05, + "loss": 1.3701, + "step": 1583 + }, + { + "epoch": 0.4, + "learning_rate": 3.02e-05, + "loss": 1.3135, + "step": 1584 + }, + { + "epoch": 0.4, + "learning_rate": 3.0187500000000002e-05, + "loss": 1.0068, + "step": 1585 + }, + { + "epoch": 0.4, + "learning_rate": 3.0175e-05, + "loss": 0.9097, + "step": 1586 + }, + { + "epoch": 0.4, + "learning_rate": 3.0162499999999998e-05, + "loss": 1.2061, + "step": 1587 + }, + { + "epoch": 0.4, + "learning_rate": 3.015e-05, + "loss": 1.1377, + "step": 1588 + }, + { + "epoch": 0.4, + "learning_rate": 3.01375e-05, + "loss": 1.2725, + "step": 1589 + }, + { + "epoch": 0.4, + "learning_rate": 3.0125000000000004e-05, + "loss": 1.2842, + "step": 1590 + }, + { + "epoch": 0.4, + "learning_rate": 3.01125e-05, + "loss": 1.1221, + "step": 1591 + }, + { + "epoch": 0.4, + "learning_rate": 3.01e-05, + "loss": 1.2246, + "step": 1592 + }, + { + "epoch": 0.4, + "learning_rate": 3.0087500000000003e-05, + "loss": 1.1611, + "step": 1593 + }, + { + "epoch": 0.4, + "learning_rate": 3.0075000000000003e-05, + "loss": 1.3584, + "step": 1594 + }, + { + "epoch": 0.4, + "learning_rate": 3.00625e-05, + "loss": 1.54, + "step": 1595 + }, + { + "epoch": 0.4, + "learning_rate": 3.0050000000000002e-05, + "loss": 1.3818, + "step": 1596 + }, + { + "epoch": 0.4, + "learning_rate": 3.00375e-05, + "loss": 1.4404, + "step": 1597 + }, + { + "epoch": 0.4, + "learning_rate": 3.0025000000000005e-05, + "loss": 1.0508, + "step": 1598 + }, + { + "epoch": 0.4, + "learning_rate": 3.0012499999999998e-05, + "loss": 1.4141, + "step": 1599 + }, + { + "epoch": 0.4, + "learning_rate": 3e-05, + "loss": 1.1309, + "step": 1600 + }, + { + "epoch": 0.4, + "learning_rate": 2.99875e-05, + "loss": 1.082, + "step": 1601 + }, + { + "epoch": 0.4, + "learning_rate": 2.9975000000000004e-05, + "loss": 1.3789, + "step": 1602 + }, + { + "epoch": 0.4, + "learning_rate": 2.99625e-05, + "loss": 1.2129, + "step": 1603 + }, + { + "epoch": 0.4, + "learning_rate": 2.995e-05, + "loss": 1.2021, + "step": 1604 + }, + { + "epoch": 0.4, + "learning_rate": 2.9937500000000003e-05, + "loss": 1.1006, + "step": 1605 + }, + { + "epoch": 0.4, + "learning_rate": 2.9925000000000002e-05, + "loss": 1.2061, + "step": 1606 + }, + { + "epoch": 0.4, + "learning_rate": 2.99125e-05, + "loss": 1.124, + "step": 1607 + }, + { + "epoch": 0.4, + "learning_rate": 2.9900000000000002e-05, + "loss": 1.6035, + "step": 1608 + }, + { + "epoch": 0.4, + "learning_rate": 2.98875e-05, + "loss": 1.1455, + "step": 1609 + }, + { + "epoch": 0.4, + "learning_rate": 2.9875000000000004e-05, + "loss": 1.3486, + "step": 1610 + }, + { + "epoch": 0.4, + "learning_rate": 2.9862499999999997e-05, + "loss": 1.2529, + "step": 1611 + }, + { + "epoch": 0.4, + "learning_rate": 2.985e-05, + "loss": 1.2188, + "step": 1612 + }, + { + "epoch": 0.4, + "learning_rate": 2.98375e-05, + "loss": 1.2236, + "step": 1613 + }, + { + "epoch": 0.4, + "learning_rate": 2.9825000000000003e-05, + "loss": 1.2773, + "step": 1614 + }, + { + "epoch": 0.4, + "learning_rate": 2.98125e-05, + "loss": 1.2949, + "step": 1615 + }, + { + "epoch": 0.4, + "learning_rate": 2.98e-05, + "loss": 1.3809, + "step": 1616 + }, + { + "epoch": 0.4, + "learning_rate": 2.9787500000000002e-05, + "loss": 1.3115, + "step": 1617 + }, + { + "epoch": 0.4, + "learning_rate": 2.9775000000000002e-05, + "loss": 0.8994, + "step": 1618 + }, + { + "epoch": 0.4, + "learning_rate": 2.97625e-05, + "loss": 1.168, + "step": 1619 + }, + { + "epoch": 0.41, + "learning_rate": 2.975e-05, + "loss": 1.4424, + "step": 1620 + }, + { + "epoch": 0.41, + "learning_rate": 2.97375e-05, + "loss": 1.5215, + "step": 1621 + }, + { + "epoch": 0.41, + "learning_rate": 2.9725000000000004e-05, + "loss": 1.1514, + "step": 1622 + }, + { + "epoch": 0.41, + "learning_rate": 2.9712499999999997e-05, + "loss": 1.1387, + "step": 1623 + }, + { + "epoch": 0.41, + "learning_rate": 2.97e-05, + "loss": 1.3037, + "step": 1624 + }, + { + "epoch": 0.41, + "learning_rate": 2.96875e-05, + "loss": 1.543, + "step": 1625 + }, + { + "epoch": 0.41, + "learning_rate": 2.9675000000000003e-05, + "loss": 1.5391, + "step": 1626 + }, + { + "epoch": 0.41, + "learning_rate": 2.9662500000000003e-05, + "loss": 1.4121, + "step": 1627 + }, + { + "epoch": 0.41, + "learning_rate": 2.965e-05, + "loss": 1.1865, + "step": 1628 + }, + { + "epoch": 0.41, + "learning_rate": 2.9637500000000002e-05, + "loss": 1.4648, + "step": 1629 + }, + { + "epoch": 0.41, + "learning_rate": 2.9625000000000002e-05, + "loss": 1.2002, + "step": 1630 + }, + { + "epoch": 0.41, + "learning_rate": 2.9612500000000005e-05, + "loss": 1.3477, + "step": 1631 + }, + { + "epoch": 0.41, + "learning_rate": 2.96e-05, + "loss": 1.2383, + "step": 1632 + }, + { + "epoch": 0.41, + "learning_rate": 2.95875e-05, + "loss": 1.4541, + "step": 1633 + }, + { + "epoch": 0.41, + "learning_rate": 2.9575000000000004e-05, + "loss": 1.1016, + "step": 1634 + }, + { + "epoch": 0.41, + "learning_rate": 2.9562500000000004e-05, + "loss": 1.4229, + "step": 1635 + }, + { + "epoch": 0.41, + "learning_rate": 2.955e-05, + "loss": 1.4551, + "step": 1636 + }, + { + "epoch": 0.41, + "learning_rate": 2.95375e-05, + "loss": 1.1631, + "step": 1637 + }, + { + "epoch": 0.41, + "learning_rate": 2.9525000000000003e-05, + "loss": 1.208, + "step": 1638 + }, + { + "epoch": 0.41, + "learning_rate": 2.9512500000000002e-05, + "loss": 1.1729, + "step": 1639 + }, + { + "epoch": 0.41, + "learning_rate": 2.95e-05, + "loss": 1.2285, + "step": 1640 + }, + { + "epoch": 0.41, + "learning_rate": 2.9487500000000002e-05, + "loss": 0.978, + "step": 1641 + }, + { + "epoch": 0.41, + "learning_rate": 2.9475e-05, + "loss": 1.3906, + "step": 1642 + }, + { + "epoch": 0.41, + "learning_rate": 2.9462500000000005e-05, + "loss": 1.5371, + "step": 1643 + }, + { + "epoch": 0.41, + "learning_rate": 2.945e-05, + "loss": 1.3916, + "step": 1644 + }, + { + "epoch": 0.41, + "learning_rate": 2.94375e-05, + "loss": 1.2686, + "step": 1645 + }, + { + "epoch": 0.41, + "learning_rate": 2.9425000000000004e-05, + "loss": 0.9917, + "step": 1646 + }, + { + "epoch": 0.41, + "learning_rate": 2.9412500000000003e-05, + "loss": 1.1689, + "step": 1647 + }, + { + "epoch": 0.41, + "learning_rate": 2.94e-05, + "loss": 1.3965, + "step": 1648 + }, + { + "epoch": 0.41, + "learning_rate": 2.9387500000000003e-05, + "loss": 1.2627, + "step": 1649 + }, + { + "epoch": 0.41, + "learning_rate": 2.9375000000000003e-05, + "loss": 1.4766, + "step": 1650 + }, + { + "epoch": 0.41, + "learning_rate": 2.9362500000000002e-05, + "loss": 1.2158, + "step": 1651 + }, + { + "epoch": 0.41, + "learning_rate": 2.935e-05, + "loss": 1.1758, + "step": 1652 + }, + { + "epoch": 0.41, + "learning_rate": 2.93375e-05, + "loss": 1.3076, + "step": 1653 + }, + { + "epoch": 0.41, + "learning_rate": 2.9325e-05, + "loss": 1.0146, + "step": 1654 + }, + { + "epoch": 0.41, + "learning_rate": 2.9312500000000004e-05, + "loss": 1.3262, + "step": 1655 + }, + { + "epoch": 0.41, + "learning_rate": 2.93e-05, + "loss": 1.1084, + "step": 1656 + }, + { + "epoch": 0.41, + "learning_rate": 2.92875e-05, + "loss": 1.2158, + "step": 1657 + }, + { + "epoch": 0.41, + "learning_rate": 2.9275000000000003e-05, + "loss": 1.293, + "step": 1658 + }, + { + "epoch": 0.41, + "learning_rate": 2.9262500000000003e-05, + "loss": 1.1807, + "step": 1659 + }, + { + "epoch": 0.41, + "learning_rate": 2.925e-05, + "loss": 0.9556, + "step": 1660 + }, + { + "epoch": 0.42, + "learning_rate": 2.9237500000000003e-05, + "loss": 1.3984, + "step": 1661 + }, + { + "epoch": 0.42, + "learning_rate": 2.9225000000000002e-05, + "loss": 1.458, + "step": 1662 + }, + { + "epoch": 0.42, + "learning_rate": 2.9212500000000005e-05, + "loss": 1.3164, + "step": 1663 + }, + { + "epoch": 0.42, + "learning_rate": 2.9199999999999998e-05, + "loss": 1.3955, + "step": 1664 + }, + { + "epoch": 0.42, + "learning_rate": 2.91875e-05, + "loss": 1.1465, + "step": 1665 + }, + { + "epoch": 0.42, + "learning_rate": 2.9175e-05, + "loss": 1.1953, + "step": 1666 + }, + { + "epoch": 0.42, + "learning_rate": 2.9162500000000004e-05, + "loss": 1.5879, + "step": 1667 + }, + { + "epoch": 0.42, + "learning_rate": 2.915e-05, + "loss": 1.1846, + "step": 1668 + }, + { + "epoch": 0.42, + "learning_rate": 2.91375e-05, + "loss": 1.25, + "step": 1669 + }, + { + "epoch": 0.42, + "learning_rate": 2.9125000000000003e-05, + "loss": 1.3564, + "step": 1670 + }, + { + "epoch": 0.42, + "learning_rate": 2.9112500000000003e-05, + "loss": 1.3164, + "step": 1671 + }, + { + "epoch": 0.42, + "learning_rate": 2.91e-05, + "loss": 1.249, + "step": 1672 + }, + { + "epoch": 0.42, + "learning_rate": 2.9087500000000002e-05, + "loss": 1.2715, + "step": 1673 + }, + { + "epoch": 0.42, + "learning_rate": 2.9075000000000002e-05, + "loss": 1.0967, + "step": 1674 + }, + { + "epoch": 0.42, + "learning_rate": 2.9062500000000005e-05, + "loss": 1.3467, + "step": 1675 + }, + { + "epoch": 0.42, + "learning_rate": 2.9049999999999998e-05, + "loss": 1.1611, + "step": 1676 + }, + { + "epoch": 0.42, + "learning_rate": 2.90375e-05, + "loss": 1.2773, + "step": 1677 + }, + { + "epoch": 0.42, + "learning_rate": 2.9025e-05, + "loss": 1.1904, + "step": 1678 + }, + { + "epoch": 0.42, + "learning_rate": 2.9012500000000004e-05, + "loss": 1.3096, + "step": 1679 + }, + { + "epoch": 0.42, + "learning_rate": 2.9e-05, + "loss": 1.3877, + "step": 1680 + }, + { + "epoch": 0.42, + "learning_rate": 2.89875e-05, + "loss": 0.9272, + "step": 1681 + }, + { + "epoch": 0.42, + "learning_rate": 2.8975000000000003e-05, + "loss": 1.2822, + "step": 1682 + }, + { + "epoch": 0.42, + "learning_rate": 2.8962500000000003e-05, + "loss": 1.0537, + "step": 1683 + }, + { + "epoch": 0.42, + "learning_rate": 2.895e-05, + "loss": 1.3184, + "step": 1684 + }, + { + "epoch": 0.42, + "learning_rate": 2.8937500000000002e-05, + "loss": 1.3125, + "step": 1685 + }, + { + "epoch": 0.42, + "learning_rate": 2.8925000000000002e-05, + "loss": 1.4189, + "step": 1686 + }, + { + "epoch": 0.42, + "learning_rate": 2.8912500000000005e-05, + "loss": 1.0537, + "step": 1687 + }, + { + "epoch": 0.42, + "learning_rate": 2.8899999999999998e-05, + "loss": 1.4492, + "step": 1688 + }, + { + "epoch": 0.42, + "learning_rate": 2.88875e-05, + "loss": 1.2305, + "step": 1689 + }, + { + "epoch": 0.42, + "learning_rate": 2.8875e-05, + "loss": 1.3672, + "step": 1690 + }, + { + "epoch": 0.42, + "learning_rate": 2.8862500000000004e-05, + "loss": 1.0762, + "step": 1691 + }, + { + "epoch": 0.42, + "learning_rate": 2.885e-05, + "loss": 1.4023, + "step": 1692 + }, + { + "epoch": 0.42, + "learning_rate": 2.88375e-05, + "loss": 1.0703, + "step": 1693 + }, + { + "epoch": 0.42, + "learning_rate": 2.8825000000000003e-05, + "loss": 1.5312, + "step": 1694 + }, + { + "epoch": 0.42, + "learning_rate": 2.8812500000000002e-05, + "loss": 1.248, + "step": 1695 + }, + { + "epoch": 0.42, + "learning_rate": 2.88e-05, + "loss": 1.5654, + "step": 1696 + }, + { + "epoch": 0.42, + "learning_rate": 2.8787500000000002e-05, + "loss": 1.1475, + "step": 1697 + }, + { + "epoch": 0.42, + "learning_rate": 2.8775e-05, + "loss": 1.4336, + "step": 1698 + }, + { + "epoch": 0.42, + "learning_rate": 2.8762500000000005e-05, + "loss": 1.2275, + "step": 1699 + }, + { + "epoch": 0.42, + "learning_rate": 2.8749999999999997e-05, + "loss": 1.1504, + "step": 1700 + }, + { + "epoch": 0.43, + "learning_rate": 2.87375e-05, + "loss": 1.3906, + "step": 1701 + }, + { + "epoch": 0.43, + "learning_rate": 2.8725e-05, + "loss": 1.1484, + "step": 1702 + }, + { + "epoch": 0.43, + "learning_rate": 2.8712500000000003e-05, + "loss": 1.2041, + "step": 1703 + }, + { + "epoch": 0.43, + "learning_rate": 2.87e-05, + "loss": 1.3027, + "step": 1704 + }, + { + "epoch": 0.43, + "learning_rate": 2.86875e-05, + "loss": 1.0781, + "step": 1705 + }, + { + "epoch": 0.43, + "learning_rate": 2.8675000000000002e-05, + "loss": 1.666, + "step": 1706 + }, + { + "epoch": 0.43, + "learning_rate": 2.8662500000000002e-05, + "loss": 1.0518, + "step": 1707 + }, + { + "epoch": 0.43, + "learning_rate": 2.865e-05, + "loss": 1.2334, + "step": 1708 + }, + { + "epoch": 0.43, + "learning_rate": 2.86375e-05, + "loss": 1.3975, + "step": 1709 + }, + { + "epoch": 0.43, + "learning_rate": 2.8625e-05, + "loss": 1.2051, + "step": 1710 + }, + { + "epoch": 0.43, + "learning_rate": 2.8612500000000004e-05, + "loss": 1.1943, + "step": 1711 + }, + { + "epoch": 0.43, + "learning_rate": 2.86e-05, + "loss": 1.2129, + "step": 1712 + }, + { + "epoch": 0.43, + "learning_rate": 2.85875e-05, + "loss": 1.1182, + "step": 1713 + }, + { + "epoch": 0.43, + "learning_rate": 2.8575000000000003e-05, + "loss": 1.1914, + "step": 1714 + }, + { + "epoch": 0.43, + "learning_rate": 2.8562500000000003e-05, + "loss": 1.3281, + "step": 1715 + }, + { + "epoch": 0.43, + "learning_rate": 2.855e-05, + "loss": 1.0088, + "step": 1716 + }, + { + "epoch": 0.43, + "learning_rate": 2.85375e-05, + "loss": 1.3564, + "step": 1717 + }, + { + "epoch": 0.43, + "learning_rate": 2.8525000000000002e-05, + "loss": 1.1055, + "step": 1718 + }, + { + "epoch": 0.43, + "learning_rate": 2.8512500000000002e-05, + "loss": 1.7266, + "step": 1719 + }, + { + "epoch": 0.43, + "learning_rate": 2.8499999999999998e-05, + "loss": 1.1768, + "step": 1720 + }, + { + "epoch": 0.43, + "learning_rate": 2.84875e-05, + "loss": 1.4541, + "step": 1721 + }, + { + "epoch": 0.43, + "learning_rate": 2.8475e-05, + "loss": 1.1484, + "step": 1722 + }, + { + "epoch": 0.43, + "learning_rate": 2.8462500000000004e-05, + "loss": 1.0469, + "step": 1723 + }, + { + "epoch": 0.43, + "learning_rate": 2.845e-05, + "loss": 1.0107, + "step": 1724 + }, + { + "epoch": 0.43, + "learning_rate": 2.84375e-05, + "loss": 1.3311, + "step": 1725 + }, + { + "epoch": 0.43, + "learning_rate": 2.8425000000000003e-05, + "loss": 1.5527, + "step": 1726 + }, + { + "epoch": 0.43, + "learning_rate": 2.8412500000000003e-05, + "loss": 1.1211, + "step": 1727 + }, + { + "epoch": 0.43, + "learning_rate": 2.84e-05, + "loss": 1.4092, + "step": 1728 + }, + { + "epoch": 0.43, + "learning_rate": 2.83875e-05, + "loss": 1.4316, + "step": 1729 + }, + { + "epoch": 0.43, + "learning_rate": 2.8375000000000002e-05, + "loss": 1.0146, + "step": 1730 + }, + { + "epoch": 0.43, + "learning_rate": 2.83625e-05, + "loss": 1.127, + "step": 1731 + }, + { + "epoch": 0.43, + "learning_rate": 2.8349999999999998e-05, + "loss": 1.665, + "step": 1732 + }, + { + "epoch": 0.43, + "learning_rate": 2.83375e-05, + "loss": 1.0225, + "step": 1733 + }, + { + "epoch": 0.43, + "learning_rate": 2.8325e-05, + "loss": 1.5898, + "step": 1734 + }, + { + "epoch": 0.43, + "learning_rate": 2.8312500000000004e-05, + "loss": 1.4336, + "step": 1735 + }, + { + "epoch": 0.43, + "learning_rate": 2.83e-05, + "loss": 1.1475, + "step": 1736 + }, + { + "epoch": 0.43, + "learning_rate": 2.82875e-05, + "loss": 1.0869, + "step": 1737 + }, + { + "epoch": 0.43, + "learning_rate": 2.8275000000000003e-05, + "loss": 1.3291, + "step": 1738 + }, + { + "epoch": 0.43, + "learning_rate": 2.8262500000000003e-05, + "loss": 1.5645, + "step": 1739 + }, + { + "epoch": 0.43, + "learning_rate": 2.825e-05, + "loss": 1.1758, + "step": 1740 + }, + { + "epoch": 0.44, + "learning_rate": 2.82375e-05, + "loss": 1.2822, + "step": 1741 + }, + { + "epoch": 0.44, + "learning_rate": 2.8225e-05, + "loss": 1.2871, + "step": 1742 + }, + { + "epoch": 0.44, + "learning_rate": 2.82125e-05, + "loss": 1.3008, + "step": 1743 + }, + { + "epoch": 0.44, + "learning_rate": 2.8199999999999998e-05, + "loss": 1.165, + "step": 1744 + }, + { + "epoch": 0.44, + "learning_rate": 2.81875e-05, + "loss": 1.1387, + "step": 1745 + }, + { + "epoch": 0.44, + "learning_rate": 2.8175e-05, + "loss": 1.3135, + "step": 1746 + }, + { + "epoch": 0.44, + "learning_rate": 2.8162500000000004e-05, + "loss": 1.375, + "step": 1747 + }, + { + "epoch": 0.44, + "learning_rate": 2.815e-05, + "loss": 1.3223, + "step": 1748 + }, + { + "epoch": 0.44, + "learning_rate": 2.81375e-05, + "loss": 1.4072, + "step": 1749 + }, + { + "epoch": 0.44, + "learning_rate": 2.8125000000000003e-05, + "loss": 1.208, + "step": 1750 + }, + { + "epoch": 0.44, + "learning_rate": 2.8112500000000002e-05, + "loss": 1.1689, + "step": 1751 + }, + { + "epoch": 0.44, + "learning_rate": 2.8100000000000005e-05, + "loss": 1.25, + "step": 1752 + }, + { + "epoch": 0.44, + "learning_rate": 2.80875e-05, + "loss": 1.2148, + "step": 1753 + }, + { + "epoch": 0.44, + "learning_rate": 2.8075e-05, + "loss": 1.4756, + "step": 1754 + }, + { + "epoch": 0.44, + "learning_rate": 2.80625e-05, + "loss": 1.2852, + "step": 1755 + }, + { + "epoch": 0.44, + "learning_rate": 2.8050000000000004e-05, + "loss": 1.3145, + "step": 1756 + }, + { + "epoch": 0.44, + "learning_rate": 2.80375e-05, + "loss": 0.9722, + "step": 1757 + }, + { + "epoch": 0.44, + "learning_rate": 2.8025e-05, + "loss": 1.4541, + "step": 1758 + }, + { + "epoch": 0.44, + "learning_rate": 2.8012500000000003e-05, + "loss": 1.4609, + "step": 1759 + }, + { + "epoch": 0.44, + "learning_rate": 2.8000000000000003e-05, + "loss": 1.3779, + "step": 1760 + }, + { + "epoch": 0.44, + "learning_rate": 2.79875e-05, + "loss": 1.1064, + "step": 1761 + }, + { + "epoch": 0.44, + "learning_rate": 2.7975000000000002e-05, + "loss": 1.2656, + "step": 1762 + }, + { + "epoch": 0.44, + "learning_rate": 2.7962500000000002e-05, + "loss": 1.3828, + "step": 1763 + }, + { + "epoch": 0.44, + "learning_rate": 2.7950000000000005e-05, + "loss": 1.2871, + "step": 1764 + }, + { + "epoch": 0.44, + "learning_rate": 2.79375e-05, + "loss": 1.3066, + "step": 1765 + }, + { + "epoch": 0.44, + "learning_rate": 2.7925e-05, + "loss": 1.3145, + "step": 1766 + }, + { + "epoch": 0.44, + "learning_rate": 2.7912500000000004e-05, + "loss": 1.3574, + "step": 1767 + }, + { + "epoch": 0.44, + "learning_rate": 2.7900000000000004e-05, + "loss": 1.3555, + "step": 1768 + }, + { + "epoch": 0.44, + "learning_rate": 2.78875e-05, + "loss": 1.4229, + "step": 1769 + }, + { + "epoch": 0.44, + "learning_rate": 2.7875e-05, + "loss": 1.1484, + "step": 1770 + }, + { + "epoch": 0.44, + "learning_rate": 2.7862500000000003e-05, + "loss": 1.0088, + "step": 1771 + }, + { + "epoch": 0.44, + "learning_rate": 2.7850000000000003e-05, + "loss": 1.1104, + "step": 1772 + }, + { + "epoch": 0.44, + "learning_rate": 2.78375e-05, + "loss": 1.0088, + "step": 1773 + }, + { + "epoch": 0.44, + "learning_rate": 2.7825000000000002e-05, + "loss": 1.3115, + "step": 1774 + }, + { + "epoch": 0.44, + "learning_rate": 2.7812500000000002e-05, + "loss": 1.3906, + "step": 1775 + }, + { + "epoch": 0.44, + "learning_rate": 2.7800000000000005e-05, + "loss": 1.209, + "step": 1776 + }, + { + "epoch": 0.44, + "learning_rate": 2.77875e-05, + "loss": 1.2471, + "step": 1777 + }, + { + "epoch": 0.44, + "learning_rate": 2.7775e-05, + "loss": 1.2646, + "step": 1778 + }, + { + "epoch": 0.44, + "learning_rate": 2.7762500000000004e-05, + "loss": 1.2939, + "step": 1779 + }, + { + "epoch": 0.45, + "learning_rate": 2.7750000000000004e-05, + "loss": 1.2549, + "step": 1780 + }, + { + "epoch": 0.45, + "learning_rate": 2.77375e-05, + "loss": 1.4199, + "step": 1781 + }, + { + "epoch": 0.45, + "learning_rate": 2.7725e-05, + "loss": 1.2988, + "step": 1782 + }, + { + "epoch": 0.45, + "learning_rate": 2.7712500000000003e-05, + "loss": 1.3203, + "step": 1783 + }, + { + "epoch": 0.45, + "learning_rate": 2.7700000000000002e-05, + "loss": 1.1621, + "step": 1784 + }, + { + "epoch": 0.45, + "learning_rate": 2.76875e-05, + "loss": 1.3037, + "step": 1785 + }, + { + "epoch": 0.45, + "learning_rate": 2.7675000000000002e-05, + "loss": 1.3291, + "step": 1786 + }, + { + "epoch": 0.45, + "learning_rate": 2.76625e-05, + "loss": 1.4072, + "step": 1787 + }, + { + "epoch": 0.45, + "learning_rate": 2.7650000000000005e-05, + "loss": 1.5225, + "step": 1788 + }, + { + "epoch": 0.45, + "learning_rate": 2.76375e-05, + "loss": 1.1602, + "step": 1789 + }, + { + "epoch": 0.45, + "learning_rate": 2.7625e-05, + "loss": 1.3799, + "step": 1790 + }, + { + "epoch": 0.45, + "learning_rate": 2.7612500000000004e-05, + "loss": 1.2041, + "step": 1791 + }, + { + "epoch": 0.45, + "learning_rate": 2.7600000000000003e-05, + "loss": 1.1855, + "step": 1792 + }, + { + "epoch": 0.45, + "learning_rate": 2.75875e-05, + "loss": 1.1699, + "step": 1793 + }, + { + "epoch": 0.45, + "learning_rate": 2.7575e-05, + "loss": 1.2324, + "step": 1794 + }, + { + "epoch": 0.45, + "learning_rate": 2.7562500000000002e-05, + "loss": 1.0869, + "step": 1795 + }, + { + "epoch": 0.45, + "learning_rate": 2.7550000000000002e-05, + "loss": 1.0654, + "step": 1796 + }, + { + "epoch": 0.45, + "learning_rate": 2.75375e-05, + "loss": 1.1895, + "step": 1797 + }, + { + "epoch": 0.45, + "learning_rate": 2.7525e-05, + "loss": 1.0576, + "step": 1798 + }, + { + "epoch": 0.45, + "learning_rate": 2.75125e-05, + "loss": 1.1475, + "step": 1799 + }, + { + "epoch": 0.45, + "learning_rate": 2.7500000000000004e-05, + "loss": 1.0566, + "step": 1800 + }, + { + "epoch": 0.45, + "learning_rate": 2.74875e-05, + "loss": 1.1445, + "step": 1801 + }, + { + "epoch": 0.45, + "learning_rate": 2.7475e-05, + "loss": 1.4756, + "step": 1802 + }, + { + "epoch": 0.45, + "learning_rate": 2.7462500000000003e-05, + "loss": 1.5527, + "step": 1803 + }, + { + "epoch": 0.45, + "learning_rate": 2.7450000000000003e-05, + "loss": 1.2939, + "step": 1804 + }, + { + "epoch": 0.45, + "learning_rate": 2.74375e-05, + "loss": 1.3252, + "step": 1805 + }, + { + "epoch": 0.45, + "learning_rate": 2.7425e-05, + "loss": 1.6338, + "step": 1806 + }, + { + "epoch": 0.45, + "learning_rate": 2.7412500000000002e-05, + "loss": 1.2861, + "step": 1807 + }, + { + "epoch": 0.45, + "learning_rate": 2.7400000000000002e-05, + "loss": 0.9116, + "step": 1808 + }, + { + "epoch": 0.45, + "learning_rate": 2.7387499999999998e-05, + "loss": 1.0986, + "step": 1809 + }, + { + "epoch": 0.45, + "learning_rate": 2.7375e-05, + "loss": 1.1172, + "step": 1810 + }, + { + "epoch": 0.45, + "learning_rate": 2.73625e-05, + "loss": 1.2988, + "step": 1811 + }, + { + "epoch": 0.45, + "learning_rate": 2.7350000000000004e-05, + "loss": 1.1338, + "step": 1812 + }, + { + "epoch": 0.45, + "learning_rate": 2.73375e-05, + "loss": 1.2451, + "step": 1813 + }, + { + "epoch": 0.45, + "learning_rate": 2.7325e-05, + "loss": 1.1055, + "step": 1814 + }, + { + "epoch": 0.45, + "learning_rate": 2.7312500000000003e-05, + "loss": 1.1484, + "step": 1815 + }, + { + "epoch": 0.45, + "learning_rate": 2.7300000000000003e-05, + "loss": 1.4248, + "step": 1816 + }, + { + "epoch": 0.45, + "learning_rate": 2.72875e-05, + "loss": 1.4502, + "step": 1817 + }, + { + "epoch": 0.45, + "learning_rate": 2.7275e-05, + "loss": 1.2715, + "step": 1818 + }, + { + "epoch": 0.45, + "learning_rate": 2.7262500000000002e-05, + "loss": 1.4385, + "step": 1819 + }, + { + "epoch": 0.46, + "learning_rate": 2.725e-05, + "loss": 1.4893, + "step": 1820 + }, + { + "epoch": 0.46, + "learning_rate": 2.7237499999999998e-05, + "loss": 1.1621, + "step": 1821 + }, + { + "epoch": 0.46, + "learning_rate": 2.7225e-05, + "loss": 1.3643, + "step": 1822 + }, + { + "epoch": 0.46, + "learning_rate": 2.72125e-05, + "loss": 1.3184, + "step": 1823 + }, + { + "epoch": 0.46, + "learning_rate": 2.7200000000000004e-05, + "loss": 1.2295, + "step": 1824 + }, + { + "epoch": 0.46, + "learning_rate": 2.71875e-05, + "loss": 1.165, + "step": 1825 + }, + { + "epoch": 0.46, + "learning_rate": 2.7175e-05, + "loss": 1.1094, + "step": 1826 + }, + { + "epoch": 0.46, + "learning_rate": 2.7162500000000003e-05, + "loss": 1.4385, + "step": 1827 + }, + { + "epoch": 0.46, + "learning_rate": 2.7150000000000003e-05, + "loss": 1.4219, + "step": 1828 + }, + { + "epoch": 0.46, + "learning_rate": 2.71375e-05, + "loss": 1.4102, + "step": 1829 + }, + { + "epoch": 0.46, + "learning_rate": 2.7125000000000002e-05, + "loss": 0.9448, + "step": 1830 + }, + { + "epoch": 0.46, + "learning_rate": 2.7112500000000002e-05, + "loss": 1.2217, + "step": 1831 + }, + { + "epoch": 0.46, + "learning_rate": 2.7100000000000005e-05, + "loss": 1.0977, + "step": 1832 + }, + { + "epoch": 0.46, + "learning_rate": 2.7087499999999998e-05, + "loss": 1.1377, + "step": 1833 + }, + { + "epoch": 0.46, + "learning_rate": 2.7075e-05, + "loss": 1.2373, + "step": 1834 + }, + { + "epoch": 0.46, + "learning_rate": 2.70625e-05, + "loss": 1.4795, + "step": 1835 + }, + { + "epoch": 0.46, + "learning_rate": 2.7050000000000004e-05, + "loss": 1.127, + "step": 1836 + }, + { + "epoch": 0.46, + "learning_rate": 2.70375e-05, + "loss": 1.4404, + "step": 1837 + }, + { + "epoch": 0.46, + "learning_rate": 2.7025e-05, + "loss": 1.374, + "step": 1838 + }, + { + "epoch": 0.46, + "learning_rate": 2.7012500000000003e-05, + "loss": 1.5361, + "step": 1839 + }, + { + "epoch": 0.46, + "learning_rate": 2.7000000000000002e-05, + "loss": 1.3311, + "step": 1840 + }, + { + "epoch": 0.46, + "learning_rate": 2.69875e-05, + "loss": 1.2881, + "step": 1841 + }, + { + "epoch": 0.46, + "learning_rate": 2.6975000000000002e-05, + "loss": 1.0156, + "step": 1842 + }, + { + "epoch": 0.46, + "learning_rate": 2.69625e-05, + "loss": 1.2139, + "step": 1843 + }, + { + "epoch": 0.46, + "learning_rate": 2.6950000000000005e-05, + "loss": 0.9971, + "step": 1844 + }, + { + "epoch": 0.46, + "learning_rate": 2.6937499999999997e-05, + "loss": 1.2119, + "step": 1845 + }, + { + "epoch": 0.46, + "learning_rate": 2.6925e-05, + "loss": 1.334, + "step": 1846 + }, + { + "epoch": 0.46, + "learning_rate": 2.69125e-05, + "loss": 1.4404, + "step": 1847 + }, + { + "epoch": 0.46, + "learning_rate": 2.6900000000000003e-05, + "loss": 1.2393, + "step": 1848 + }, + { + "epoch": 0.46, + "learning_rate": 2.68875e-05, + "loss": 1.3857, + "step": 1849 + }, + { + "epoch": 0.46, + "learning_rate": 2.6875e-05, + "loss": 1.2021, + "step": 1850 + }, + { + "epoch": 0.46, + "learning_rate": 2.6862500000000002e-05, + "loss": 1.0098, + "step": 1851 + }, + { + "epoch": 0.46, + "learning_rate": 2.6850000000000002e-05, + "loss": 1.1631, + "step": 1852 + }, + { + "epoch": 0.46, + "learning_rate": 2.68375e-05, + "loss": 1.3164, + "step": 1853 + }, + { + "epoch": 0.46, + "learning_rate": 2.6825e-05, + "loss": 1.1396, + "step": 1854 + }, + { + "epoch": 0.46, + "learning_rate": 2.68125e-05, + "loss": 1.7607, + "step": 1855 + }, + { + "epoch": 0.46, + "learning_rate": 2.6800000000000004e-05, + "loss": 1.4092, + "step": 1856 + }, + { + "epoch": 0.46, + "learning_rate": 2.6787499999999997e-05, + "loss": 1.4297, + "step": 1857 + }, + { + "epoch": 0.46, + "learning_rate": 2.6775e-05, + "loss": 1.2715, + "step": 1858 + }, + { + "epoch": 0.46, + "learning_rate": 2.67625e-05, + "loss": 1.3486, + "step": 1859 + }, + { + "epoch": 0.47, + "learning_rate": 2.6750000000000003e-05, + "loss": 1.6211, + "step": 1860 + }, + { + "epoch": 0.47, + "learning_rate": 2.67375e-05, + "loss": 1.0928, + "step": 1861 + }, + { + "epoch": 0.47, + "learning_rate": 2.6725e-05, + "loss": 1.1953, + "step": 1862 + }, + { + "epoch": 0.47, + "learning_rate": 2.6712500000000002e-05, + "loss": 1.1455, + "step": 1863 + }, + { + "epoch": 0.47, + "learning_rate": 2.6700000000000002e-05, + "loss": 1.3398, + "step": 1864 + }, + { + "epoch": 0.47, + "learning_rate": 2.6687499999999998e-05, + "loss": 1.0947, + "step": 1865 + }, + { + "epoch": 0.47, + "learning_rate": 2.6675e-05, + "loss": 1.5049, + "step": 1866 + }, + { + "epoch": 0.47, + "learning_rate": 2.66625e-05, + "loss": 1.3828, + "step": 1867 + }, + { + "epoch": 0.47, + "learning_rate": 2.6650000000000004e-05, + "loss": 1.3799, + "step": 1868 + }, + { + "epoch": 0.47, + "learning_rate": 2.6637499999999997e-05, + "loss": 1.1943, + "step": 1869 + }, + { + "epoch": 0.47, + "learning_rate": 2.6625e-05, + "loss": 1.4678, + "step": 1870 + }, + { + "epoch": 0.47, + "learning_rate": 2.66125e-05, + "loss": 0.9907, + "step": 1871 + }, + { + "epoch": 0.47, + "learning_rate": 2.6600000000000003e-05, + "loss": 1.418, + "step": 1872 + }, + { + "epoch": 0.47, + "learning_rate": 2.65875e-05, + "loss": 1.377, + "step": 1873 + }, + { + "epoch": 0.47, + "learning_rate": 2.6575e-05, + "loss": 1.1602, + "step": 1874 + }, + { + "epoch": 0.47, + "learning_rate": 2.6562500000000002e-05, + "loss": 1.4834, + "step": 1875 + }, + { + "epoch": 0.47, + "learning_rate": 2.655e-05, + "loss": 1.2256, + "step": 1876 + }, + { + "epoch": 0.47, + "learning_rate": 2.6537500000000005e-05, + "loss": 1.1309, + "step": 1877 + }, + { + "epoch": 0.47, + "learning_rate": 2.6525e-05, + "loss": 1.2451, + "step": 1878 + }, + { + "epoch": 0.47, + "learning_rate": 2.65125e-05, + "loss": 1.5303, + "step": 1879 + }, + { + "epoch": 0.47, + "learning_rate": 2.6500000000000004e-05, + "loss": 1.3066, + "step": 1880 + }, + { + "epoch": 0.47, + "learning_rate": 2.6487500000000003e-05, + "loss": 1.3008, + "step": 1881 + }, + { + "epoch": 0.47, + "learning_rate": 2.6475e-05, + "loss": 1.3428, + "step": 1882 + }, + { + "epoch": 0.47, + "learning_rate": 2.6462500000000003e-05, + "loss": 1.291, + "step": 1883 + }, + { + "epoch": 0.47, + "learning_rate": 2.6450000000000003e-05, + "loss": 1.502, + "step": 1884 + }, + { + "epoch": 0.47, + "learning_rate": 2.6437500000000002e-05, + "loss": 1.2881, + "step": 1885 + }, + { + "epoch": 0.47, + "learning_rate": 2.6425e-05, + "loss": 1.3555, + "step": 1886 + }, + { + "epoch": 0.47, + "learning_rate": 2.64125e-05, + "loss": 1.0488, + "step": 1887 + }, + { + "epoch": 0.47, + "learning_rate": 2.64e-05, + "loss": 1.3896, + "step": 1888 + }, + { + "epoch": 0.47, + "learning_rate": 2.6387500000000004e-05, + "loss": 1.3467, + "step": 1889 + }, + { + "epoch": 0.47, + "learning_rate": 2.6375e-05, + "loss": 1.4736, + "step": 1890 + }, + { + "epoch": 0.47, + "learning_rate": 2.63625e-05, + "loss": 1.1826, + "step": 1891 + }, + { + "epoch": 0.47, + "learning_rate": 2.6350000000000004e-05, + "loss": 1.1602, + "step": 1892 + }, + { + "epoch": 0.47, + "learning_rate": 2.6337500000000003e-05, + "loss": 1.0684, + "step": 1893 + }, + { + "epoch": 0.47, + "learning_rate": 2.6325e-05, + "loss": 1.0742, + "step": 1894 + }, + { + "epoch": 0.47, + "learning_rate": 2.6312500000000003e-05, + "loss": 1.2998, + "step": 1895 + }, + { + "epoch": 0.47, + "learning_rate": 2.6300000000000002e-05, + "loss": 1.1514, + "step": 1896 + }, + { + "epoch": 0.47, + "learning_rate": 2.6287500000000005e-05, + "loss": 0.9907, + "step": 1897 + }, + { + "epoch": 0.47, + "learning_rate": 2.6275e-05, + "loss": 1.1709, + "step": 1898 + }, + { + "epoch": 0.47, + "learning_rate": 2.62625e-05, + "loss": 1.0703, + "step": 1899 + }, + { + "epoch": 0.47, + "learning_rate": 2.625e-05, + "loss": 1.1055, + "step": 1900 + }, + { + "epoch": 0.48, + "learning_rate": 2.6237500000000004e-05, + "loss": 1.1816, + "step": 1901 + }, + { + "epoch": 0.48, + "learning_rate": 2.6225e-05, + "loss": 1.376, + "step": 1902 + }, + { + "epoch": 0.48, + "learning_rate": 2.62125e-05, + "loss": 1.1943, + "step": 1903 + }, + { + "epoch": 0.48, + "learning_rate": 2.6200000000000003e-05, + "loss": 1.1445, + "step": 1904 + }, + { + "epoch": 0.48, + "learning_rate": 2.6187500000000003e-05, + "loss": 1.2725, + "step": 1905 + }, + { + "epoch": 0.48, + "learning_rate": 2.6175e-05, + "loss": 1.4775, + "step": 1906 + }, + { + "epoch": 0.48, + "learning_rate": 2.6162500000000002e-05, + "loss": 1.0928, + "step": 1907 + }, + { + "epoch": 0.48, + "learning_rate": 2.6150000000000002e-05, + "loss": 1.4082, + "step": 1908 + }, + { + "epoch": 0.48, + "learning_rate": 2.6137500000000005e-05, + "loss": 1.1387, + "step": 1909 + }, + { + "epoch": 0.48, + "learning_rate": 2.6124999999999998e-05, + "loss": 1.4648, + "step": 1910 + }, + { + "epoch": 0.48, + "learning_rate": 2.61125e-05, + "loss": 1.3438, + "step": 1911 + }, + { + "epoch": 0.48, + "learning_rate": 2.61e-05, + "loss": 1.1016, + "step": 1912 + }, + { + "epoch": 0.48, + "learning_rate": 2.6087500000000004e-05, + "loss": 1.1289, + "step": 1913 + }, + { + "epoch": 0.48, + "learning_rate": 2.6075e-05, + "loss": 1.0908, + "step": 1914 + }, + { + "epoch": 0.48, + "learning_rate": 2.60625e-05, + "loss": 1.2354, + "step": 1915 + }, + { + "epoch": 0.48, + "learning_rate": 2.6050000000000003e-05, + "loss": 1.3955, + "step": 1916 + }, + { + "epoch": 0.48, + "learning_rate": 2.6037500000000003e-05, + "loss": 1.2549, + "step": 1917 + }, + { + "epoch": 0.48, + "learning_rate": 2.6025e-05, + "loss": 1.3115, + "step": 1918 + }, + { + "epoch": 0.48, + "learning_rate": 2.6012500000000002e-05, + "loss": 1.4502, + "step": 1919 + }, + { + "epoch": 0.48, + "learning_rate": 2.6000000000000002e-05, + "loss": 1.2227, + "step": 1920 + }, + { + "epoch": 0.48, + "learning_rate": 2.5987500000000005e-05, + "loss": 1.4863, + "step": 1921 + }, + { + "epoch": 0.48, + "learning_rate": 2.5974999999999998e-05, + "loss": 1.3076, + "step": 1922 + }, + { + "epoch": 0.48, + "learning_rate": 2.59625e-05, + "loss": 1.0967, + "step": 1923 + }, + { + "epoch": 0.48, + "learning_rate": 2.595e-05, + "loss": 1.4668, + "step": 1924 + }, + { + "epoch": 0.48, + "learning_rate": 2.5937500000000004e-05, + "loss": 1.3008, + "step": 1925 + }, + { + "epoch": 0.48, + "learning_rate": 2.5925e-05, + "loss": 1.4375, + "step": 1926 + }, + { + "epoch": 0.48, + "learning_rate": 2.59125e-05, + "loss": 1.207, + "step": 1927 + }, + { + "epoch": 0.48, + "learning_rate": 2.5900000000000003e-05, + "loss": 1.1094, + "step": 1928 + }, + { + "epoch": 0.48, + "learning_rate": 2.5887500000000002e-05, + "loss": 1.1865, + "step": 1929 + }, + { + "epoch": 0.48, + "learning_rate": 2.5875e-05, + "loss": 1.3438, + "step": 1930 + }, + { + "epoch": 0.48, + "learning_rate": 2.5862500000000002e-05, + "loss": 1.2051, + "step": 1931 + }, + { + "epoch": 0.48, + "learning_rate": 2.585e-05, + "loss": 1.2148, + "step": 1932 + }, + { + "epoch": 0.48, + "learning_rate": 2.5837500000000005e-05, + "loss": 1.3379, + "step": 1933 + }, + { + "epoch": 0.48, + "learning_rate": 2.5824999999999998e-05, + "loss": 1.251, + "step": 1934 + }, + { + "epoch": 0.48, + "learning_rate": 2.58125e-05, + "loss": 1.1357, + "step": 1935 + }, + { + "epoch": 0.48, + "learning_rate": 2.58e-05, + "loss": 1.3076, + "step": 1936 + }, + { + "epoch": 0.48, + "learning_rate": 2.5787500000000003e-05, + "loss": 1.1133, + "step": 1937 + }, + { + "epoch": 0.48, + "learning_rate": 2.5775e-05, + "loss": 1.1162, + "step": 1938 + }, + { + "epoch": 0.48, + "learning_rate": 2.57625e-05, + "loss": 1.3125, + "step": 1939 + }, + { + "epoch": 0.48, + "learning_rate": 2.5750000000000002e-05, + "loss": 1.2471, + "step": 1940 + }, + { + "epoch": 0.49, + "learning_rate": 2.5737500000000002e-05, + "loss": 0.9346, + "step": 1941 + }, + { + "epoch": 0.49, + "learning_rate": 2.5725e-05, + "loss": 1.2158, + "step": 1942 + }, + { + "epoch": 0.49, + "learning_rate": 2.57125e-05, + "loss": 1.3389, + "step": 1943 + }, + { + "epoch": 0.49, + "learning_rate": 2.57e-05, + "loss": 1.3066, + "step": 1944 + }, + { + "epoch": 0.49, + "learning_rate": 2.5687500000000004e-05, + "loss": 1.3994, + "step": 1945 + }, + { + "epoch": 0.49, + "learning_rate": 2.5675e-05, + "loss": 1.0752, + "step": 1946 + }, + { + "epoch": 0.49, + "learning_rate": 2.56625e-05, + "loss": 1.4482, + "step": 1947 + }, + { + "epoch": 0.49, + "learning_rate": 2.5650000000000003e-05, + "loss": 1.3711, + "step": 1948 + }, + { + "epoch": 0.49, + "learning_rate": 2.5637500000000003e-05, + "loss": 1.334, + "step": 1949 + }, + { + "epoch": 0.49, + "learning_rate": 2.5625e-05, + "loss": 1.2207, + "step": 1950 + }, + { + "epoch": 0.49, + "learning_rate": 2.56125e-05, + "loss": 1.2695, + "step": 1951 + }, + { + "epoch": 0.49, + "learning_rate": 2.5600000000000002e-05, + "loss": 1.3232, + "step": 1952 + }, + { + "epoch": 0.49, + "learning_rate": 2.5587500000000002e-05, + "loss": 0.9185, + "step": 1953 + }, + { + "epoch": 0.49, + "learning_rate": 2.5574999999999998e-05, + "loss": 1.4551, + "step": 1954 + }, + { + "epoch": 0.49, + "learning_rate": 2.55625e-05, + "loss": 1.0967, + "step": 1955 + }, + { + "epoch": 0.49, + "learning_rate": 2.555e-05, + "loss": 1.167, + "step": 1956 + }, + { + "epoch": 0.49, + "learning_rate": 2.5537500000000004e-05, + "loss": 1.2549, + "step": 1957 + }, + { + "epoch": 0.49, + "learning_rate": 2.5525e-05, + "loss": 1.5566, + "step": 1958 + }, + { + "epoch": 0.49, + "learning_rate": 2.55125e-05, + "loss": 1.1953, + "step": 1959 + }, + { + "epoch": 0.49, + "learning_rate": 2.5500000000000003e-05, + "loss": 1.4326, + "step": 1960 + }, + { + "epoch": 0.49, + "learning_rate": 2.5487500000000003e-05, + "loss": 1.4883, + "step": 1961 + }, + { + "epoch": 0.49, + "learning_rate": 2.5475e-05, + "loss": 1.1963, + "step": 1962 + }, + { + "epoch": 0.49, + "learning_rate": 2.54625e-05, + "loss": 1.3447, + "step": 1963 + }, + { + "epoch": 0.49, + "learning_rate": 2.5450000000000002e-05, + "loss": 1.0713, + "step": 1964 + }, + { + "epoch": 0.49, + "learning_rate": 2.54375e-05, + "loss": 1.3262, + "step": 1965 + }, + { + "epoch": 0.49, + "learning_rate": 2.5424999999999998e-05, + "loss": 1.3301, + "step": 1966 + }, + { + "epoch": 0.49, + "learning_rate": 2.54125e-05, + "loss": 1.4658, + "step": 1967 + }, + { + "epoch": 0.49, + "learning_rate": 2.54e-05, + "loss": 1.29, + "step": 1968 + }, + { + "epoch": 0.49, + "learning_rate": 2.5387500000000004e-05, + "loss": 1.4902, + "step": 1969 + }, + { + "epoch": 0.49, + "learning_rate": 2.5375e-05, + "loss": 1.4775, + "step": 1970 + }, + { + "epoch": 0.49, + "learning_rate": 2.53625e-05, + "loss": 0.9277, + "step": 1971 + }, + { + "epoch": 0.49, + "learning_rate": 2.5350000000000003e-05, + "loss": 1.2246, + "step": 1972 + }, + { + "epoch": 0.49, + "learning_rate": 2.5337500000000003e-05, + "loss": 1.2207, + "step": 1973 + }, + { + "epoch": 0.49, + "learning_rate": 2.5325e-05, + "loss": 1.3555, + "step": 1974 + }, + { + "epoch": 0.49, + "learning_rate": 2.53125e-05, + "loss": 1.5615, + "step": 1975 + }, + { + "epoch": 0.49, + "learning_rate": 2.5300000000000002e-05, + "loss": 1.332, + "step": 1976 + }, + { + "epoch": 0.49, + "learning_rate": 2.52875e-05, + "loss": 1.2051, + "step": 1977 + }, + { + "epoch": 0.49, + "learning_rate": 2.5274999999999998e-05, + "loss": 1.4277, + "step": 1978 + }, + { + "epoch": 0.49, + "learning_rate": 2.52625e-05, + "loss": 1.332, + "step": 1979 + }, + { + "epoch": 0.49, + "learning_rate": 2.525e-05, + "loss": 1.2695, + "step": 1980 + }, + { + "epoch": 0.5, + "learning_rate": 2.5237500000000004e-05, + "loss": 1.3916, + "step": 1981 + }, + { + "epoch": 0.5, + "learning_rate": 2.5225e-05, + "loss": 1.3027, + "step": 1982 + }, + { + "epoch": 0.5, + "learning_rate": 2.52125e-05, + "loss": 1.2588, + "step": 1983 + }, + { + "epoch": 0.5, + "learning_rate": 2.5200000000000003e-05, + "loss": 1.2578, + "step": 1984 + }, + { + "epoch": 0.5, + "learning_rate": 2.5187500000000002e-05, + "loss": 1.1699, + "step": 1985 + }, + { + "epoch": 0.5, + "learning_rate": 2.5175e-05, + "loss": 1.3955, + "step": 1986 + }, + { + "epoch": 0.5, + "learning_rate": 2.51625e-05, + "loss": 1.3682, + "step": 1987 + }, + { + "epoch": 0.5, + "learning_rate": 2.515e-05, + "loss": 1.1758, + "step": 1988 + }, + { + "epoch": 0.5, + "learning_rate": 2.51375e-05, + "loss": 1.4287, + "step": 1989 + }, + { + "epoch": 0.5, + "learning_rate": 2.5124999999999997e-05, + "loss": 1.415, + "step": 1990 + }, + { + "epoch": 0.5, + "learning_rate": 2.51125e-05, + "loss": 1.2275, + "step": 1991 + }, + { + "epoch": 0.5, + "learning_rate": 2.51e-05, + "loss": 1.3594, + "step": 1992 + }, + { + "epoch": 0.5, + "learning_rate": 2.5087500000000003e-05, + "loss": 1.2637, + "step": 1993 + }, + { + "epoch": 0.5, + "learning_rate": 2.5075e-05, + "loss": 1.249, + "step": 1994 + }, + { + "epoch": 0.5, + "learning_rate": 2.50625e-05, + "loss": 1.3301, + "step": 1995 + }, + { + "epoch": 0.5, + "learning_rate": 2.5050000000000002e-05, + "loss": 1.5488, + "step": 1996 + }, + { + "epoch": 0.5, + "learning_rate": 2.5037500000000002e-05, + "loss": 1.4238, + "step": 1997 + }, + { + "epoch": 0.5, + "learning_rate": 2.5025e-05, + "loss": 1.1572, + "step": 1998 + }, + { + "epoch": 0.5, + "learning_rate": 2.50125e-05, + "loss": 1.4131, + "step": 1999 + }, + { + "epoch": 0.5, + "learning_rate": 2.5e-05, + "loss": 1.1191, + "step": 2000 + }, + { + "epoch": 0.5, + "learning_rate": 2.49875e-05, + "loss": 1.335, + "step": 2001 + }, + { + "epoch": 0.5, + "learning_rate": 2.4975e-05, + "loss": 1.1143, + "step": 2002 + }, + { + "epoch": 0.5, + "learning_rate": 2.4962500000000004e-05, + "loss": 1.2988, + "step": 2003 + }, + { + "epoch": 0.5, + "learning_rate": 2.495e-05, + "loss": 1.1709, + "step": 2004 + }, + { + "epoch": 0.5, + "learning_rate": 2.4937500000000003e-05, + "loss": 1.0752, + "step": 2005 + }, + { + "epoch": 0.5, + "learning_rate": 2.4925000000000003e-05, + "loss": 1.3711, + "step": 2006 + }, + { + "epoch": 0.5, + "learning_rate": 2.4912500000000002e-05, + "loss": 1.0137, + "step": 2007 + }, + { + "epoch": 0.5, + "learning_rate": 2.4900000000000002e-05, + "loss": 1.292, + "step": 2008 + }, + { + "epoch": 0.5, + "learning_rate": 2.4887500000000002e-05, + "loss": 1.3887, + "step": 2009 + }, + { + "epoch": 0.5, + "learning_rate": 2.4875e-05, + "loss": 1.1348, + "step": 2010 + }, + { + "epoch": 0.5, + "learning_rate": 2.48625e-05, + "loss": 1.4004, + "step": 2011 + }, + { + "epoch": 0.5, + "learning_rate": 2.485e-05, + "loss": 1.2676, + "step": 2012 + }, + { + "epoch": 0.5, + "learning_rate": 2.4837500000000004e-05, + "loss": 1.3096, + "step": 2013 + }, + { + "epoch": 0.5, + "learning_rate": 2.4825e-05, + "loss": 1.123, + "step": 2014 + }, + { + "epoch": 0.5, + "learning_rate": 2.4812500000000003e-05, + "loss": 1.5586, + "step": 2015 + }, + { + "epoch": 0.5, + "learning_rate": 2.48e-05, + "loss": 1.2471, + "step": 2016 + }, + { + "epoch": 0.5, + "learning_rate": 2.4787500000000003e-05, + "loss": 1.3037, + "step": 2017 + }, + { + "epoch": 0.5, + "learning_rate": 2.4775000000000003e-05, + "loss": 1.2021, + "step": 2018 + }, + { + "epoch": 0.5, + "learning_rate": 2.4762500000000002e-05, + "loss": 1.2676, + "step": 2019 + }, + { + "epoch": 0.51, + "learning_rate": 2.4750000000000002e-05, + "loss": 1.3584, + "step": 2020 + }, + { + "epoch": 0.51, + "learning_rate": 2.47375e-05, + "loss": 1.2598, + "step": 2021 + }, + { + "epoch": 0.51, + "learning_rate": 2.4725e-05, + "loss": 1.1895, + "step": 2022 + }, + { + "epoch": 0.51, + "learning_rate": 2.47125e-05, + "loss": 1.4346, + "step": 2023 + }, + { + "epoch": 0.51, + "learning_rate": 2.47e-05, + "loss": 1.3193, + "step": 2024 + }, + { + "epoch": 0.51, + "learning_rate": 2.4687500000000004e-05, + "loss": 1.3574, + "step": 2025 + }, + { + "epoch": 0.51, + "learning_rate": 2.4675e-05, + "loss": 1.2559, + "step": 2026 + }, + { + "epoch": 0.51, + "learning_rate": 2.4662500000000003e-05, + "loss": 1.4121, + "step": 2027 + }, + { + "epoch": 0.51, + "learning_rate": 2.465e-05, + "loss": 1.2783, + "step": 2028 + }, + { + "epoch": 0.51, + "learning_rate": 2.4637500000000003e-05, + "loss": 1.1621, + "step": 2029 + }, + { + "epoch": 0.51, + "learning_rate": 2.4625000000000002e-05, + "loss": 1.2607, + "step": 2030 + }, + { + "epoch": 0.51, + "learning_rate": 2.4612500000000002e-05, + "loss": 1.2939, + "step": 2031 + }, + { + "epoch": 0.51, + "learning_rate": 2.46e-05, + "loss": 1.0459, + "step": 2032 + }, + { + "epoch": 0.51, + "learning_rate": 2.45875e-05, + "loss": 1.3184, + "step": 2033 + }, + { + "epoch": 0.51, + "learning_rate": 2.4575e-05, + "loss": 1.2949, + "step": 2034 + }, + { + "epoch": 0.51, + "learning_rate": 2.45625e-05, + "loss": 1.3584, + "step": 2035 + }, + { + "epoch": 0.51, + "learning_rate": 2.455e-05, + "loss": 1.4209, + "step": 2036 + }, + { + "epoch": 0.51, + "learning_rate": 2.4537500000000004e-05, + "loss": 1.1982, + "step": 2037 + }, + { + "epoch": 0.51, + "learning_rate": 2.4525e-05, + "loss": 1.3506, + "step": 2038 + }, + { + "epoch": 0.51, + "learning_rate": 2.4512500000000003e-05, + "loss": 0.9731, + "step": 2039 + }, + { + "epoch": 0.51, + "learning_rate": 2.45e-05, + "loss": 1.2197, + "step": 2040 + }, + { + "epoch": 0.51, + "learning_rate": 2.4487500000000002e-05, + "loss": 1.5684, + "step": 2041 + }, + { + "epoch": 0.51, + "learning_rate": 2.4475000000000002e-05, + "loss": 1.0664, + "step": 2042 + }, + { + "epoch": 0.51, + "learning_rate": 2.44625e-05, + "loss": 1.3408, + "step": 2043 + }, + { + "epoch": 0.51, + "learning_rate": 2.445e-05, + "loss": 1.3613, + "step": 2044 + }, + { + "epoch": 0.51, + "learning_rate": 2.44375e-05, + "loss": 1.4141, + "step": 2045 + }, + { + "epoch": 0.51, + "learning_rate": 2.4425e-05, + "loss": 1.2383, + "step": 2046 + }, + { + "epoch": 0.51, + "learning_rate": 2.44125e-05, + "loss": 1.0498, + "step": 2047 + }, + { + "epoch": 0.51, + "learning_rate": 2.44e-05, + "loss": 0.9482, + "step": 2048 + }, + { + "epoch": 0.51, + "learning_rate": 2.4387500000000003e-05, + "loss": 1.2168, + "step": 2049 + }, + { + "epoch": 0.51, + "learning_rate": 2.4375e-05, + "loss": 1.1475, + "step": 2050 + }, + { + "epoch": 0.51, + "learning_rate": 2.4362500000000003e-05, + "loss": 1.5293, + "step": 2051 + }, + { + "epoch": 0.51, + "learning_rate": 2.435e-05, + "loss": 1.4912, + "step": 2052 + }, + { + "epoch": 0.51, + "learning_rate": 2.4337500000000002e-05, + "loss": 1.3691, + "step": 2053 + }, + { + "epoch": 0.51, + "learning_rate": 2.4325000000000002e-05, + "loss": 1.2129, + "step": 2054 + }, + { + "epoch": 0.51, + "learning_rate": 2.43125e-05, + "loss": 1.4619, + "step": 2055 + }, + { + "epoch": 0.51, + "learning_rate": 2.43e-05, + "loss": 1.5059, + "step": 2056 + }, + { + "epoch": 0.51, + "learning_rate": 2.42875e-05, + "loss": 1.1699, + "step": 2057 + }, + { + "epoch": 0.51, + "learning_rate": 2.4275e-05, + "loss": 1.3838, + "step": 2058 + }, + { + "epoch": 0.51, + "learning_rate": 2.42625e-05, + "loss": 1.084, + "step": 2059 + }, + { + "epoch": 0.52, + "learning_rate": 2.425e-05, + "loss": 1.3379, + "step": 2060 + }, + { + "epoch": 0.52, + "learning_rate": 2.4237500000000003e-05, + "loss": 1.1064, + "step": 2061 + }, + { + "epoch": 0.52, + "learning_rate": 2.4225e-05, + "loss": 1.1055, + "step": 2062 + }, + { + "epoch": 0.52, + "learning_rate": 2.4212500000000002e-05, + "loss": 0.9912, + "step": 2063 + }, + { + "epoch": 0.52, + "learning_rate": 2.4200000000000002e-05, + "loss": 1.2412, + "step": 2064 + }, + { + "epoch": 0.52, + "learning_rate": 2.4187500000000002e-05, + "loss": 1.498, + "step": 2065 + }, + { + "epoch": 0.52, + "learning_rate": 2.4175e-05, + "loss": 1.3672, + "step": 2066 + }, + { + "epoch": 0.52, + "learning_rate": 2.41625e-05, + "loss": 1.2188, + "step": 2067 + }, + { + "epoch": 0.52, + "learning_rate": 2.415e-05, + "loss": 1.2715, + "step": 2068 + }, + { + "epoch": 0.52, + "learning_rate": 2.41375e-05, + "loss": 1.1143, + "step": 2069 + }, + { + "epoch": 0.52, + "learning_rate": 2.4125e-05, + "loss": 1.4531, + "step": 2070 + }, + { + "epoch": 0.52, + "learning_rate": 2.4112500000000003e-05, + "loss": 1.2451, + "step": 2071 + }, + { + "epoch": 0.52, + "learning_rate": 2.41e-05, + "loss": 1.1836, + "step": 2072 + }, + { + "epoch": 0.52, + "learning_rate": 2.4087500000000003e-05, + "loss": 1.1064, + "step": 2073 + }, + { + "epoch": 0.52, + "learning_rate": 2.4075e-05, + "loss": 1.2266, + "step": 2074 + }, + { + "epoch": 0.52, + "learning_rate": 2.4062500000000002e-05, + "loss": 1.2695, + "step": 2075 + }, + { + "epoch": 0.52, + "learning_rate": 2.4050000000000002e-05, + "loss": 1.4219, + "step": 2076 + }, + { + "epoch": 0.52, + "learning_rate": 2.40375e-05, + "loss": 0.9878, + "step": 2077 + }, + { + "epoch": 0.52, + "learning_rate": 2.4025e-05, + "loss": 1.4014, + "step": 2078 + }, + { + "epoch": 0.52, + "learning_rate": 2.40125e-05, + "loss": 1.4648, + "step": 2079 + }, + { + "epoch": 0.52, + "learning_rate": 2.4e-05, + "loss": 1.3525, + "step": 2080 + }, + { + "epoch": 0.52, + "learning_rate": 2.39875e-05, + "loss": 1.4082, + "step": 2081 + }, + { + "epoch": 0.52, + "learning_rate": 2.3975e-05, + "loss": 1.3457, + "step": 2082 + }, + { + "epoch": 0.52, + "learning_rate": 2.3962500000000003e-05, + "loss": 1.3984, + "step": 2083 + }, + { + "epoch": 0.52, + "learning_rate": 2.395e-05, + "loss": 1.1826, + "step": 2084 + }, + { + "epoch": 0.52, + "learning_rate": 2.3937500000000002e-05, + "loss": 1.3965, + "step": 2085 + }, + { + "epoch": 0.52, + "learning_rate": 2.3925e-05, + "loss": 1.0371, + "step": 2086 + }, + { + "epoch": 0.52, + "learning_rate": 2.3912500000000002e-05, + "loss": 1.1904, + "step": 2087 + }, + { + "epoch": 0.52, + "learning_rate": 2.39e-05, + "loss": 1.4277, + "step": 2088 + }, + { + "epoch": 0.52, + "learning_rate": 2.38875e-05, + "loss": 1.2266, + "step": 2089 + }, + { + "epoch": 0.52, + "learning_rate": 2.3875e-05, + "loss": 1.4385, + "step": 2090 + }, + { + "epoch": 0.52, + "learning_rate": 2.38625e-05, + "loss": 1.2559, + "step": 2091 + }, + { + "epoch": 0.52, + "learning_rate": 2.385e-05, + "loss": 1.3848, + "step": 2092 + }, + { + "epoch": 0.52, + "learning_rate": 2.38375e-05, + "loss": 1.4043, + "step": 2093 + }, + { + "epoch": 0.52, + "learning_rate": 2.3825e-05, + "loss": 1.4707, + "step": 2094 + }, + { + "epoch": 0.52, + "learning_rate": 2.3812500000000003e-05, + "loss": 1.0635, + "step": 2095 + }, + { + "epoch": 0.52, + "learning_rate": 2.38e-05, + "loss": 1.3975, + "step": 2096 + }, + { + "epoch": 0.52, + "learning_rate": 2.3787500000000002e-05, + "loss": 1.3721, + "step": 2097 + }, + { + "epoch": 0.52, + "learning_rate": 2.3775e-05, + "loss": 1.2939, + "step": 2098 + }, + { + "epoch": 0.52, + "learning_rate": 2.37625e-05, + "loss": 1.3701, + "step": 2099 + }, + { + "epoch": 0.53, + "learning_rate": 2.375e-05, + "loss": 1.3125, + "step": 2100 + }, + { + "epoch": 0.53, + "learning_rate": 2.37375e-05, + "loss": 1.1777, + "step": 2101 + }, + { + "epoch": 0.53, + "learning_rate": 2.3725e-05, + "loss": 1.2246, + "step": 2102 + }, + { + "epoch": 0.53, + "learning_rate": 2.37125e-05, + "loss": 1.2656, + "step": 2103 + }, + { + "epoch": 0.53, + "learning_rate": 2.37e-05, + "loss": 1.2744, + "step": 2104 + }, + { + "epoch": 0.53, + "learning_rate": 2.36875e-05, + "loss": 1.3555, + "step": 2105 + }, + { + "epoch": 0.53, + "learning_rate": 2.3675e-05, + "loss": 1.1816, + "step": 2106 + }, + { + "epoch": 0.53, + "learning_rate": 2.3662500000000003e-05, + "loss": 1.2969, + "step": 2107 + }, + { + "epoch": 0.53, + "learning_rate": 2.365e-05, + "loss": 1.1133, + "step": 2108 + }, + { + "epoch": 0.53, + "learning_rate": 2.3637500000000002e-05, + "loss": 1.2422, + "step": 2109 + }, + { + "epoch": 0.53, + "learning_rate": 2.3624999999999998e-05, + "loss": 1.3008, + "step": 2110 + }, + { + "epoch": 0.53, + "learning_rate": 2.36125e-05, + "loss": 0.8477, + "step": 2111 + }, + { + "epoch": 0.53, + "learning_rate": 2.36e-05, + "loss": 0.9927, + "step": 2112 + }, + { + "epoch": 0.53, + "learning_rate": 2.35875e-05, + "loss": 1.4229, + "step": 2113 + }, + { + "epoch": 0.53, + "learning_rate": 2.3575e-05, + "loss": 1.375, + "step": 2114 + }, + { + "epoch": 0.53, + "learning_rate": 2.35625e-05, + "loss": 1.2432, + "step": 2115 + }, + { + "epoch": 0.53, + "learning_rate": 2.355e-05, + "loss": 1.2812, + "step": 2116 + }, + { + "epoch": 0.53, + "learning_rate": 2.35375e-05, + "loss": 1.377, + "step": 2117 + }, + { + "epoch": 0.53, + "learning_rate": 2.3525e-05, + "loss": 1.0107, + "step": 2118 + }, + { + "epoch": 0.53, + "learning_rate": 2.3512500000000002e-05, + "loss": 1.1455, + "step": 2119 + }, + { + "epoch": 0.53, + "learning_rate": 2.35e-05, + "loss": 1.2744, + "step": 2120 + }, + { + "epoch": 0.53, + "learning_rate": 2.3487500000000002e-05, + "loss": 1.1816, + "step": 2121 + }, + { + "epoch": 0.53, + "learning_rate": 2.3475e-05, + "loss": 1.165, + "step": 2122 + }, + { + "epoch": 0.53, + "learning_rate": 2.34625e-05, + "loss": 1.3135, + "step": 2123 + }, + { + "epoch": 0.53, + "learning_rate": 2.345e-05, + "loss": 1.4453, + "step": 2124 + }, + { + "epoch": 0.53, + "learning_rate": 2.34375e-05, + "loss": 1.4355, + "step": 2125 + }, + { + "epoch": 0.53, + "learning_rate": 2.3425000000000004e-05, + "loss": 1.2031, + "step": 2126 + }, + { + "epoch": 0.53, + "learning_rate": 2.34125e-05, + "loss": 1.5039, + "step": 2127 + }, + { + "epoch": 0.53, + "learning_rate": 2.3400000000000003e-05, + "loss": 1.5723, + "step": 2128 + }, + { + "epoch": 0.53, + "learning_rate": 2.3387500000000003e-05, + "loss": 1.3408, + "step": 2129 + }, + { + "epoch": 0.53, + "learning_rate": 2.3375000000000002e-05, + "loss": 1.1191, + "step": 2130 + }, + { + "epoch": 0.53, + "learning_rate": 2.3362500000000002e-05, + "loss": 1.4404, + "step": 2131 + }, + { + "epoch": 0.53, + "learning_rate": 2.3350000000000002e-05, + "loss": 1.2402, + "step": 2132 + }, + { + "epoch": 0.53, + "learning_rate": 2.33375e-05, + "loss": 1.2002, + "step": 2133 + }, + { + "epoch": 0.53, + "learning_rate": 2.3325e-05, + "loss": 1.1875, + "step": 2134 + }, + { + "epoch": 0.53, + "learning_rate": 2.33125e-05, + "loss": 1.2314, + "step": 2135 + }, + { + "epoch": 0.53, + "learning_rate": 2.3300000000000004e-05, + "loss": 1.5215, + "step": 2136 + }, + { + "epoch": 0.53, + "learning_rate": 2.32875e-05, + "loss": 1.4609, + "step": 2137 + }, + { + "epoch": 0.53, + "learning_rate": 2.3275000000000003e-05, + "loss": 1.293, + "step": 2138 + }, + { + "epoch": 0.53, + "learning_rate": 2.32625e-05, + "loss": 1.4707, + "step": 2139 + }, + { + "epoch": 0.54, + "learning_rate": 2.3250000000000003e-05, + "loss": 0.9834, + "step": 2140 + }, + { + "epoch": 0.54, + "learning_rate": 2.3237500000000002e-05, + "loss": 1.3789, + "step": 2141 + }, + { + "epoch": 0.54, + "learning_rate": 2.3225000000000002e-05, + "loss": 1.4531, + "step": 2142 + }, + { + "epoch": 0.54, + "learning_rate": 2.3212500000000002e-05, + "loss": 1.2998, + "step": 2143 + }, + { + "epoch": 0.54, + "learning_rate": 2.32e-05, + "loss": 1.2197, + "step": 2144 + }, + { + "epoch": 0.54, + "learning_rate": 2.31875e-05, + "loss": 1.2715, + "step": 2145 + }, + { + "epoch": 0.54, + "learning_rate": 2.3175e-05, + "loss": 1.1953, + "step": 2146 + }, + { + "epoch": 0.54, + "learning_rate": 2.31625e-05, + "loss": 1.3809, + "step": 2147 + }, + { + "epoch": 0.54, + "learning_rate": 2.3150000000000004e-05, + "loss": 1.1035, + "step": 2148 + }, + { + "epoch": 0.54, + "learning_rate": 2.31375e-05, + "loss": 1.4277, + "step": 2149 + }, + { + "epoch": 0.54, + "learning_rate": 2.3125000000000003e-05, + "loss": 1.4814, + "step": 2150 + }, + { + "epoch": 0.54, + "learning_rate": 2.31125e-05, + "loss": 1.4521, + "step": 2151 + }, + { + "epoch": 0.54, + "learning_rate": 2.3100000000000002e-05, + "loss": 1.334, + "step": 2152 + }, + { + "epoch": 0.54, + "learning_rate": 2.3087500000000002e-05, + "loss": 1.4355, + "step": 2153 + }, + { + "epoch": 0.54, + "learning_rate": 2.3075000000000002e-05, + "loss": 1.1729, + "step": 2154 + }, + { + "epoch": 0.54, + "learning_rate": 2.30625e-05, + "loss": 0.9692, + "step": 2155 + }, + { + "epoch": 0.54, + "learning_rate": 2.305e-05, + "loss": 1.3438, + "step": 2156 + }, + { + "epoch": 0.54, + "learning_rate": 2.30375e-05, + "loss": 1.4014, + "step": 2157 + }, + { + "epoch": 0.54, + "learning_rate": 2.3025e-05, + "loss": 1.3027, + "step": 2158 + }, + { + "epoch": 0.54, + "learning_rate": 2.30125e-05, + "loss": 1.0254, + "step": 2159 + }, + { + "epoch": 0.54, + "learning_rate": 2.3000000000000003e-05, + "loss": 1.334, + "step": 2160 + }, + { + "epoch": 0.54, + "learning_rate": 2.29875e-05, + "loss": 1.4697, + "step": 2161 + }, + { + "epoch": 0.54, + "learning_rate": 2.2975000000000003e-05, + "loss": 1.3438, + "step": 2162 + }, + { + "epoch": 0.54, + "learning_rate": 2.29625e-05, + "loss": 1.3887, + "step": 2163 + }, + { + "epoch": 0.54, + "learning_rate": 2.2950000000000002e-05, + "loss": 1.1338, + "step": 2164 + }, + { + "epoch": 0.54, + "learning_rate": 2.2937500000000002e-05, + "loss": 1.0771, + "step": 2165 + }, + { + "epoch": 0.54, + "learning_rate": 2.2925e-05, + "loss": 1.2539, + "step": 2166 + }, + { + "epoch": 0.54, + "learning_rate": 2.29125e-05, + "loss": 1.3672, + "step": 2167 + }, + { + "epoch": 0.54, + "learning_rate": 2.29e-05, + "loss": 1.252, + "step": 2168 + }, + { + "epoch": 0.54, + "learning_rate": 2.28875e-05, + "loss": 1.2861, + "step": 2169 + }, + { + "epoch": 0.54, + "learning_rate": 2.2875e-05, + "loss": 1.3135, + "step": 2170 + }, + { + "epoch": 0.54, + "learning_rate": 2.28625e-05, + "loss": 1.2305, + "step": 2171 + }, + { + "epoch": 0.54, + "learning_rate": 2.2850000000000003e-05, + "loss": 1.0869, + "step": 2172 + }, + { + "epoch": 0.54, + "learning_rate": 2.28375e-05, + "loss": 1.2939, + "step": 2173 + }, + { + "epoch": 0.54, + "learning_rate": 2.2825000000000003e-05, + "loss": 1.2949, + "step": 2174 + }, + { + "epoch": 0.54, + "learning_rate": 2.28125e-05, + "loss": 1.2051, + "step": 2175 + }, + { + "epoch": 0.54, + "learning_rate": 2.2800000000000002e-05, + "loss": 1.3086, + "step": 2176 + }, + { + "epoch": 0.54, + "learning_rate": 2.27875e-05, + "loss": 1.4951, + "step": 2177 + }, + { + "epoch": 0.54, + "learning_rate": 2.2775e-05, + "loss": 1.5654, + "step": 2178 + }, + { + "epoch": 0.54, + "learning_rate": 2.27625e-05, + "loss": 1.0254, + "step": 2179 + }, + { + "epoch": 0.55, + "learning_rate": 2.275e-05, + "loss": 1.0752, + "step": 2180 + }, + { + "epoch": 0.55, + "learning_rate": 2.27375e-05, + "loss": 1.168, + "step": 2181 + }, + { + "epoch": 0.55, + "learning_rate": 2.2725000000000003e-05, + "loss": 1.4385, + "step": 2182 + }, + { + "epoch": 0.55, + "learning_rate": 2.27125e-05, + "loss": 1.3652, + "step": 2183 + }, + { + "epoch": 0.55, + "learning_rate": 2.2700000000000003e-05, + "loss": 0.8047, + "step": 2184 + }, + { + "epoch": 0.55, + "learning_rate": 2.26875e-05, + "loss": 1.4619, + "step": 2185 + }, + { + "epoch": 0.55, + "learning_rate": 2.2675000000000002e-05, + "loss": 1.2402, + "step": 2186 + }, + { + "epoch": 0.55, + "learning_rate": 2.2662500000000002e-05, + "loss": 1.0957, + "step": 2187 + }, + { + "epoch": 0.55, + "learning_rate": 2.265e-05, + "loss": 1.332, + "step": 2188 + }, + { + "epoch": 0.55, + "learning_rate": 2.26375e-05, + "loss": 1.3633, + "step": 2189 + }, + { + "epoch": 0.55, + "learning_rate": 2.2625e-05, + "loss": 1.5205, + "step": 2190 + }, + { + "epoch": 0.55, + "learning_rate": 2.26125e-05, + "loss": 1.2715, + "step": 2191 + }, + { + "epoch": 0.55, + "learning_rate": 2.26e-05, + "loss": 1.1504, + "step": 2192 + }, + { + "epoch": 0.55, + "learning_rate": 2.25875e-05, + "loss": 1.3438, + "step": 2193 + }, + { + "epoch": 0.55, + "learning_rate": 2.2575000000000003e-05, + "loss": 1.1064, + "step": 2194 + }, + { + "epoch": 0.55, + "learning_rate": 2.25625e-05, + "loss": 1.2266, + "step": 2195 + }, + { + "epoch": 0.55, + "learning_rate": 2.2550000000000003e-05, + "loss": 1.583, + "step": 2196 + }, + { + "epoch": 0.55, + "learning_rate": 2.25375e-05, + "loss": 1.1289, + "step": 2197 + }, + { + "epoch": 0.55, + "learning_rate": 2.2525000000000002e-05, + "loss": 1.4336, + "step": 2198 + }, + { + "epoch": 0.55, + "learning_rate": 2.2512500000000002e-05, + "loss": 1.2617, + "step": 2199 + }, + { + "epoch": 0.55, + "learning_rate": 2.25e-05, + "loss": 1.3906, + "step": 2200 + }, + { + "epoch": 0.55, + "learning_rate": 2.24875e-05, + "loss": 1.2256, + "step": 2201 + }, + { + "epoch": 0.55, + "learning_rate": 2.2475e-05, + "loss": 1.6602, + "step": 2202 + }, + { + "epoch": 0.55, + "learning_rate": 2.24625e-05, + "loss": 1.2656, + "step": 2203 + }, + { + "epoch": 0.55, + "learning_rate": 2.245e-05, + "loss": 1.3096, + "step": 2204 + }, + { + "epoch": 0.55, + "learning_rate": 2.24375e-05, + "loss": 1.2725, + "step": 2205 + }, + { + "epoch": 0.55, + "learning_rate": 2.2425000000000003e-05, + "loss": 1.2363, + "step": 2206 + }, + { + "epoch": 0.55, + "learning_rate": 2.24125e-05, + "loss": 1.5166, + "step": 2207 + }, + { + "epoch": 0.55, + "learning_rate": 2.2400000000000002e-05, + "loss": 1.3955, + "step": 2208 + }, + { + "epoch": 0.55, + "learning_rate": 2.23875e-05, + "loss": 1.2285, + "step": 2209 + }, + { + "epoch": 0.55, + "learning_rate": 2.2375000000000002e-05, + "loss": 1.4805, + "step": 2210 + }, + { + "epoch": 0.55, + "learning_rate": 2.23625e-05, + "loss": 1.1426, + "step": 2211 + }, + { + "epoch": 0.55, + "learning_rate": 2.235e-05, + "loss": 1.3896, + "step": 2212 + }, + { + "epoch": 0.55, + "learning_rate": 2.23375e-05, + "loss": 1.2412, + "step": 2213 + }, + { + "epoch": 0.55, + "learning_rate": 2.2325e-05, + "loss": 1.3779, + "step": 2214 + }, + { + "epoch": 0.55, + "learning_rate": 2.23125e-05, + "loss": 1.3301, + "step": 2215 + }, + { + "epoch": 0.55, + "learning_rate": 2.23e-05, + "loss": 1.4541, + "step": 2216 + }, + { + "epoch": 0.55, + "learning_rate": 2.22875e-05, + "loss": 1.1084, + "step": 2217 + }, + { + "epoch": 0.55, + "learning_rate": 2.2275000000000003e-05, + "loss": 1.0498, + "step": 2218 + }, + { + "epoch": 0.55, + "learning_rate": 2.22625e-05, + "loss": 1.1602, + "step": 2219 + }, + { + "epoch": 0.56, + "learning_rate": 2.2250000000000002e-05, + "loss": 1.3223, + "step": 2220 + }, + { + "epoch": 0.56, + "learning_rate": 2.22375e-05, + "loss": 1.1924, + "step": 2221 + }, + { + "epoch": 0.56, + "learning_rate": 2.2225e-05, + "loss": 1.085, + "step": 2222 + }, + { + "epoch": 0.56, + "learning_rate": 2.22125e-05, + "loss": 1.2305, + "step": 2223 + }, + { + "epoch": 0.56, + "learning_rate": 2.22e-05, + "loss": 1.2529, + "step": 2224 + }, + { + "epoch": 0.56, + "learning_rate": 2.21875e-05, + "loss": 1.1963, + "step": 2225 + }, + { + "epoch": 0.56, + "learning_rate": 2.2175e-05, + "loss": 1.2852, + "step": 2226 + }, + { + "epoch": 0.56, + "learning_rate": 2.21625e-05, + "loss": 1.2373, + "step": 2227 + }, + { + "epoch": 0.56, + "learning_rate": 2.215e-05, + "loss": 1.2334, + "step": 2228 + }, + { + "epoch": 0.56, + "learning_rate": 2.21375e-05, + "loss": 1.4102, + "step": 2229 + }, + { + "epoch": 0.56, + "learning_rate": 2.2125000000000002e-05, + "loss": 1.1709, + "step": 2230 + }, + { + "epoch": 0.56, + "learning_rate": 2.21125e-05, + "loss": 1.3252, + "step": 2231 + }, + { + "epoch": 0.56, + "learning_rate": 2.2100000000000002e-05, + "loss": 1.6309, + "step": 2232 + }, + { + "epoch": 0.56, + "learning_rate": 2.2087499999999998e-05, + "loss": 1.1357, + "step": 2233 + }, + { + "epoch": 0.56, + "learning_rate": 2.2075e-05, + "loss": 1.2998, + "step": 2234 + }, + { + "epoch": 0.56, + "learning_rate": 2.20625e-05, + "loss": 1.1992, + "step": 2235 + }, + { + "epoch": 0.56, + "learning_rate": 2.205e-05, + "loss": 1.3428, + "step": 2236 + }, + { + "epoch": 0.56, + "learning_rate": 2.20375e-05, + "loss": 1.1963, + "step": 2237 + }, + { + "epoch": 0.56, + "learning_rate": 2.2025e-05, + "loss": 1.2979, + "step": 2238 + }, + { + "epoch": 0.56, + "learning_rate": 2.20125e-05, + "loss": 1.2217, + "step": 2239 + }, + { + "epoch": 0.56, + "learning_rate": 2.2000000000000003e-05, + "loss": 1.2129, + "step": 2240 + }, + { + "epoch": 0.56, + "learning_rate": 2.19875e-05, + "loss": 1.1846, + "step": 2241 + }, + { + "epoch": 0.56, + "learning_rate": 2.1975000000000002e-05, + "loss": 1.3291, + "step": 2242 + }, + { + "epoch": 0.56, + "learning_rate": 2.19625e-05, + "loss": 1.2168, + "step": 2243 + }, + { + "epoch": 0.56, + "learning_rate": 2.195e-05, + "loss": 1.3369, + "step": 2244 + }, + { + "epoch": 0.56, + "learning_rate": 2.19375e-05, + "loss": 1.3506, + "step": 2245 + }, + { + "epoch": 0.56, + "learning_rate": 2.1925e-05, + "loss": 1.082, + "step": 2246 + }, + { + "epoch": 0.56, + "learning_rate": 2.19125e-05, + "loss": 1.0391, + "step": 2247 + }, + { + "epoch": 0.56, + "learning_rate": 2.19e-05, + "loss": 1.2129, + "step": 2248 + }, + { + "epoch": 0.56, + "learning_rate": 2.18875e-05, + "loss": 1.5215, + "step": 2249 + }, + { + "epoch": 0.56, + "learning_rate": 2.1875e-05, + "loss": 1.2168, + "step": 2250 + }, + { + "epoch": 0.56, + "learning_rate": 2.1862500000000003e-05, + "loss": 1.1504, + "step": 2251 + }, + { + "epoch": 0.56, + "learning_rate": 2.1850000000000003e-05, + "loss": 1.209, + "step": 2252 + }, + { + "epoch": 0.56, + "learning_rate": 2.1837500000000002e-05, + "loss": 1.5088, + "step": 2253 + }, + { + "epoch": 0.56, + "learning_rate": 2.1825000000000002e-05, + "loss": 1.2783, + "step": 2254 + }, + { + "epoch": 0.56, + "learning_rate": 2.18125e-05, + "loss": 1.3408, + "step": 2255 + }, + { + "epoch": 0.56, + "learning_rate": 2.18e-05, + "loss": 1.2725, + "step": 2256 + }, + { + "epoch": 0.56, + "learning_rate": 2.17875e-05, + "loss": 1.1934, + "step": 2257 + }, + { + "epoch": 0.56, + "learning_rate": 2.1775e-05, + "loss": 1.1436, + "step": 2258 + }, + { + "epoch": 0.56, + "learning_rate": 2.1762500000000004e-05, + "loss": 1.1143, + "step": 2259 + }, + { + "epoch": 0.56, + "learning_rate": 2.175e-05, + "loss": 1.1562, + "step": 2260 + }, + { + "epoch": 0.57, + "learning_rate": 2.1737500000000003e-05, + "loss": 1.2178, + "step": 2261 + }, + { + "epoch": 0.57, + "learning_rate": 2.1725e-05, + "loss": 1.1914, + "step": 2262 + }, + { + "epoch": 0.57, + "learning_rate": 2.1712500000000003e-05, + "loss": 1.2598, + "step": 2263 + }, + { + "epoch": 0.57, + "learning_rate": 2.1700000000000002e-05, + "loss": 1.2568, + "step": 2264 + }, + { + "epoch": 0.57, + "learning_rate": 2.1687500000000002e-05, + "loss": 1.3105, + "step": 2265 + }, + { + "epoch": 0.57, + "learning_rate": 2.1675e-05, + "loss": 1.041, + "step": 2266 + }, + { + "epoch": 0.57, + "learning_rate": 2.16625e-05, + "loss": 1.3359, + "step": 2267 + }, + { + "epoch": 0.57, + "learning_rate": 2.165e-05, + "loss": 1.082, + "step": 2268 + }, + { + "epoch": 0.57, + "learning_rate": 2.16375e-05, + "loss": 1.2695, + "step": 2269 + }, + { + "epoch": 0.57, + "learning_rate": 2.1625e-05, + "loss": 1.3877, + "step": 2270 + }, + { + "epoch": 0.57, + "learning_rate": 2.1612500000000004e-05, + "loss": 1.1465, + "step": 2271 + }, + { + "epoch": 0.57, + "learning_rate": 2.16e-05, + "loss": 0.9707, + "step": 2272 + }, + { + "epoch": 0.57, + "learning_rate": 2.1587500000000003e-05, + "loss": 1.3311, + "step": 2273 + }, + { + "epoch": 0.57, + "learning_rate": 2.1575e-05, + "loss": 1.2881, + "step": 2274 + }, + { + "epoch": 0.57, + "learning_rate": 2.1562500000000002e-05, + "loss": 1.0654, + "step": 2275 + }, + { + "epoch": 0.57, + "learning_rate": 2.1550000000000002e-05, + "loss": 1.3447, + "step": 2276 + }, + { + "epoch": 0.57, + "learning_rate": 2.1537500000000002e-05, + "loss": 1.1738, + "step": 2277 + }, + { + "epoch": 0.57, + "learning_rate": 2.1525e-05, + "loss": 1.2363, + "step": 2278 + }, + { + "epoch": 0.57, + "learning_rate": 2.15125e-05, + "loss": 1.2383, + "step": 2279 + }, + { + "epoch": 0.57, + "learning_rate": 2.15e-05, + "loss": 1.2783, + "step": 2280 + }, + { + "epoch": 0.57, + "learning_rate": 2.14875e-05, + "loss": 1.4482, + "step": 2281 + }, + { + "epoch": 0.57, + "learning_rate": 2.1475e-05, + "loss": 1.4658, + "step": 2282 + }, + { + "epoch": 0.57, + "learning_rate": 2.1462500000000003e-05, + "loss": 1.4248, + "step": 2283 + }, + { + "epoch": 0.57, + "learning_rate": 2.145e-05, + "loss": 1.0098, + "step": 2284 + }, + { + "epoch": 0.57, + "learning_rate": 2.1437500000000003e-05, + "loss": 1.0508, + "step": 2285 + }, + { + "epoch": 0.57, + "learning_rate": 2.1425e-05, + "loss": 1.0918, + "step": 2286 + }, + { + "epoch": 0.57, + "learning_rate": 2.1412500000000002e-05, + "loss": 1.2627, + "step": 2287 + }, + { + "epoch": 0.57, + "learning_rate": 2.1400000000000002e-05, + "loss": 1.2314, + "step": 2288 + }, + { + "epoch": 0.57, + "learning_rate": 2.13875e-05, + "loss": 1.1992, + "step": 2289 + }, + { + "epoch": 0.57, + "learning_rate": 2.1375e-05, + "loss": 1.3418, + "step": 2290 + }, + { + "epoch": 0.57, + "learning_rate": 2.13625e-05, + "loss": 1.1572, + "step": 2291 + }, + { + "epoch": 0.57, + "learning_rate": 2.135e-05, + "loss": 1.1787, + "step": 2292 + }, + { + "epoch": 0.57, + "learning_rate": 2.13375e-05, + "loss": 1.334, + "step": 2293 + }, + { + "epoch": 0.57, + "learning_rate": 2.1325e-05, + "loss": 1.3418, + "step": 2294 + }, + { + "epoch": 0.57, + "learning_rate": 2.1312500000000003e-05, + "loss": 1.1211, + "step": 2295 + }, + { + "epoch": 0.57, + "learning_rate": 2.13e-05, + "loss": 0.9102, + "step": 2296 + }, + { + "epoch": 0.57, + "learning_rate": 2.1287500000000002e-05, + "loss": 1.1484, + "step": 2297 + }, + { + "epoch": 0.57, + "learning_rate": 2.1275000000000002e-05, + "loss": 1.1875, + "step": 2298 + }, + { + "epoch": 0.57, + "learning_rate": 2.1262500000000002e-05, + "loss": 1.1787, + "step": 2299 + }, + { + "epoch": 0.57, + "learning_rate": 2.125e-05, + "loss": 1.4072, + "step": 2300 + }, + { + "epoch": 0.58, + "learning_rate": 2.12375e-05, + "loss": 1.0557, + "step": 2301 + }, + { + "epoch": 0.58, + "learning_rate": 2.1225e-05, + "loss": 1.3857, + "step": 2302 + }, + { + "epoch": 0.58, + "learning_rate": 2.12125e-05, + "loss": 1.2656, + "step": 2303 + }, + { + "epoch": 0.58, + "learning_rate": 2.12e-05, + "loss": 1.2412, + "step": 2304 + }, + { + "epoch": 0.58, + "learning_rate": 2.1187500000000003e-05, + "loss": 1.1084, + "step": 2305 + }, + { + "epoch": 0.58, + "learning_rate": 2.1175e-05, + "loss": 1.1455, + "step": 2306 + }, + { + "epoch": 0.58, + "learning_rate": 2.1162500000000003e-05, + "loss": 1.2383, + "step": 2307 + }, + { + "epoch": 0.58, + "learning_rate": 2.115e-05, + "loss": 1.4717, + "step": 2308 + }, + { + "epoch": 0.58, + "learning_rate": 2.1137500000000002e-05, + "loss": 1.1162, + "step": 2309 + }, + { + "epoch": 0.58, + "learning_rate": 2.1125000000000002e-05, + "loss": 1.1221, + "step": 2310 + }, + { + "epoch": 0.58, + "learning_rate": 2.11125e-05, + "loss": 1.3701, + "step": 2311 + }, + { + "epoch": 0.58, + "learning_rate": 2.11e-05, + "loss": 1.3252, + "step": 2312 + }, + { + "epoch": 0.58, + "learning_rate": 2.10875e-05, + "loss": 1.1084, + "step": 2313 + }, + { + "epoch": 0.58, + "learning_rate": 2.1075e-05, + "loss": 1.2197, + "step": 2314 + }, + { + "epoch": 0.58, + "learning_rate": 2.10625e-05, + "loss": 1.373, + "step": 2315 + }, + { + "epoch": 0.58, + "learning_rate": 2.105e-05, + "loss": 1.1318, + "step": 2316 + }, + { + "epoch": 0.58, + "learning_rate": 2.1037500000000003e-05, + "loss": 1.2422, + "step": 2317 + }, + { + "epoch": 0.58, + "learning_rate": 2.1025e-05, + "loss": 1.4746, + "step": 2318 + }, + { + "epoch": 0.58, + "learning_rate": 2.1012500000000003e-05, + "loss": 1.1885, + "step": 2319 + }, + { + "epoch": 0.58, + "learning_rate": 2.1e-05, + "loss": 1.4688, + "step": 2320 + }, + { + "epoch": 0.58, + "learning_rate": 2.0987500000000002e-05, + "loss": 1.1094, + "step": 2321 + }, + { + "epoch": 0.58, + "learning_rate": 2.0975e-05, + "loss": 1.2607, + "step": 2322 + }, + { + "epoch": 0.58, + "learning_rate": 2.09625e-05, + "loss": 1.418, + "step": 2323 + }, + { + "epoch": 0.58, + "learning_rate": 2.095e-05, + "loss": 1.0957, + "step": 2324 + }, + { + "epoch": 0.58, + "learning_rate": 2.09375e-05, + "loss": 1.1631, + "step": 2325 + }, + { + "epoch": 0.58, + "learning_rate": 2.0925e-05, + "loss": 1.3574, + "step": 2326 + }, + { + "epoch": 0.58, + "learning_rate": 2.09125e-05, + "loss": 1.1738, + "step": 2327 + }, + { + "epoch": 0.58, + "learning_rate": 2.09e-05, + "loss": 1.2324, + "step": 2328 + }, + { + "epoch": 0.58, + "learning_rate": 2.0887500000000003e-05, + "loss": 1.4404, + "step": 2329 + }, + { + "epoch": 0.58, + "learning_rate": 2.0875e-05, + "loss": 1.1592, + "step": 2330 + }, + { + "epoch": 0.58, + "learning_rate": 2.0862500000000002e-05, + "loss": 1.1143, + "step": 2331 + }, + { + "epoch": 0.58, + "learning_rate": 2.085e-05, + "loss": 1.3066, + "step": 2332 + }, + { + "epoch": 0.58, + "learning_rate": 2.08375e-05, + "loss": 1.1973, + "step": 2333 + }, + { + "epoch": 0.58, + "learning_rate": 2.0825e-05, + "loss": 1.2549, + "step": 2334 + }, + { + "epoch": 0.58, + "learning_rate": 2.08125e-05, + "loss": 1.5088, + "step": 2335 + }, + { + "epoch": 0.58, + "learning_rate": 2.08e-05, + "loss": 1.2979, + "step": 2336 + }, + { + "epoch": 0.58, + "learning_rate": 2.07875e-05, + "loss": 1.2168, + "step": 2337 + }, + { + "epoch": 0.58, + "learning_rate": 2.0775e-05, + "loss": 1.0957, + "step": 2338 + }, + { + "epoch": 0.58, + "learning_rate": 2.07625e-05, + "loss": 1.4443, + "step": 2339 + }, + { + "epoch": 0.58, + "learning_rate": 2.075e-05, + "loss": 1.4111, + "step": 2340 + }, + { + "epoch": 0.59, + "learning_rate": 2.0737500000000003e-05, + "loss": 1.4014, + "step": 2341 + }, + { + "epoch": 0.59, + "learning_rate": 2.0725e-05, + "loss": 1.1963, + "step": 2342 + }, + { + "epoch": 0.59, + "learning_rate": 2.0712500000000002e-05, + "loss": 1.3486, + "step": 2343 + }, + { + "epoch": 0.59, + "learning_rate": 2.07e-05, + "loss": 0.9595, + "step": 2344 + }, + { + "epoch": 0.59, + "learning_rate": 2.06875e-05, + "loss": 1.1973, + "step": 2345 + }, + { + "epoch": 0.59, + "learning_rate": 2.0675e-05, + "loss": 1.2607, + "step": 2346 + }, + { + "epoch": 0.59, + "learning_rate": 2.06625e-05, + "loss": 1.3193, + "step": 2347 + }, + { + "epoch": 0.59, + "learning_rate": 2.065e-05, + "loss": 1.2422, + "step": 2348 + }, + { + "epoch": 0.59, + "learning_rate": 2.06375e-05, + "loss": 1.3799, + "step": 2349 + }, + { + "epoch": 0.59, + "learning_rate": 2.0625e-05, + "loss": 1.4746, + "step": 2350 + }, + { + "epoch": 0.59, + "learning_rate": 2.06125e-05, + "loss": 1.458, + "step": 2351 + }, + { + "epoch": 0.59, + "learning_rate": 2.06e-05, + "loss": 1.3809, + "step": 2352 + }, + { + "epoch": 0.59, + "learning_rate": 2.0587500000000002e-05, + "loss": 1.2734, + "step": 2353 + }, + { + "epoch": 0.59, + "learning_rate": 2.0575e-05, + "loss": 1.2549, + "step": 2354 + }, + { + "epoch": 0.59, + "learning_rate": 2.0562500000000002e-05, + "loss": 1.2803, + "step": 2355 + }, + { + "epoch": 0.59, + "learning_rate": 2.055e-05, + "loss": 1.2158, + "step": 2356 + }, + { + "epoch": 0.59, + "learning_rate": 2.05375e-05, + "loss": 1.3301, + "step": 2357 + }, + { + "epoch": 0.59, + "learning_rate": 2.0525e-05, + "loss": 1.3447, + "step": 2358 + }, + { + "epoch": 0.59, + "learning_rate": 2.05125e-05, + "loss": 1.1396, + "step": 2359 + }, + { + "epoch": 0.59, + "learning_rate": 2.05e-05, + "loss": 1.3467, + "step": 2360 + }, + { + "epoch": 0.59, + "learning_rate": 2.04875e-05, + "loss": 1.1982, + "step": 2361 + }, + { + "epoch": 0.59, + "learning_rate": 2.0475e-05, + "loss": 1.3408, + "step": 2362 + }, + { + "epoch": 0.59, + "learning_rate": 2.0462500000000003e-05, + "loss": 1.4893, + "step": 2363 + }, + { + "epoch": 0.59, + "learning_rate": 2.045e-05, + "loss": 1.3203, + "step": 2364 + }, + { + "epoch": 0.59, + "learning_rate": 2.0437500000000002e-05, + "loss": 1.3867, + "step": 2365 + }, + { + "epoch": 0.59, + "learning_rate": 2.0425e-05, + "loss": 1.3975, + "step": 2366 + }, + { + "epoch": 0.59, + "learning_rate": 2.04125e-05, + "loss": 1.4141, + "step": 2367 + }, + { + "epoch": 0.59, + "learning_rate": 2.04e-05, + "loss": 1.2041, + "step": 2368 + }, + { + "epoch": 0.59, + "learning_rate": 2.03875e-05, + "loss": 0.9854, + "step": 2369 + }, + { + "epoch": 0.59, + "learning_rate": 2.0375e-05, + "loss": 1.0107, + "step": 2370 + }, + { + "epoch": 0.59, + "learning_rate": 2.03625e-05, + "loss": 1.207, + "step": 2371 + }, + { + "epoch": 0.59, + "learning_rate": 2.035e-05, + "loss": 1.4277, + "step": 2372 + }, + { + "epoch": 0.59, + "learning_rate": 2.03375e-05, + "loss": 1.3408, + "step": 2373 + }, + { + "epoch": 0.59, + "learning_rate": 2.0325e-05, + "loss": 1.1426, + "step": 2374 + }, + { + "epoch": 0.59, + "learning_rate": 2.0312500000000002e-05, + "loss": 1.0, + "step": 2375 + }, + { + "epoch": 0.59, + "learning_rate": 2.0300000000000002e-05, + "loss": 1.4531, + "step": 2376 + }, + { + "epoch": 0.59, + "learning_rate": 2.0287500000000002e-05, + "loss": 1.1504, + "step": 2377 + }, + { + "epoch": 0.59, + "learning_rate": 2.0275e-05, + "loss": 1.1797, + "step": 2378 + }, + { + "epoch": 0.59, + "learning_rate": 2.02625e-05, + "loss": 1.2598, + "step": 2379 + }, + { + "epoch": 0.59, + "learning_rate": 2.025e-05, + "loss": 1.1299, + "step": 2380 + }, + { + "epoch": 0.6, + "learning_rate": 2.02375e-05, + "loss": 1.4648, + "step": 2381 + }, + { + "epoch": 0.6, + "learning_rate": 2.0225000000000004e-05, + "loss": 1.2305, + "step": 2382 + }, + { + "epoch": 0.6, + "learning_rate": 2.02125e-05, + "loss": 1.1836, + "step": 2383 + }, + { + "epoch": 0.6, + "learning_rate": 2.0200000000000003e-05, + "loss": 1.0625, + "step": 2384 + }, + { + "epoch": 0.6, + "learning_rate": 2.01875e-05, + "loss": 1.335, + "step": 2385 + }, + { + "epoch": 0.6, + "learning_rate": 2.0175000000000003e-05, + "loss": 1.4707, + "step": 2386 + }, + { + "epoch": 0.6, + "learning_rate": 2.0162500000000002e-05, + "loss": 1.4824, + "step": 2387 + }, + { + "epoch": 0.6, + "learning_rate": 2.0150000000000002e-05, + "loss": 1.1787, + "step": 2388 + }, + { + "epoch": 0.6, + "learning_rate": 2.01375e-05, + "loss": 1.3506, + "step": 2389 + }, + { + "epoch": 0.6, + "learning_rate": 2.0125e-05, + "loss": 1.2822, + "step": 2390 + }, + { + "epoch": 0.6, + "learning_rate": 2.01125e-05, + "loss": 1.2197, + "step": 2391 + }, + { + "epoch": 0.6, + "learning_rate": 2.01e-05, + "loss": 1.4795, + "step": 2392 + }, + { + "epoch": 0.6, + "learning_rate": 2.00875e-05, + "loss": 1.3018, + "step": 2393 + }, + { + "epoch": 0.6, + "learning_rate": 2.0075000000000003e-05, + "loss": 1.3174, + "step": 2394 + }, + { + "epoch": 0.6, + "learning_rate": 2.00625e-05, + "loss": 1.3271, + "step": 2395 + }, + { + "epoch": 0.6, + "learning_rate": 2.0050000000000003e-05, + "loss": 1.1943, + "step": 2396 + }, + { + "epoch": 0.6, + "learning_rate": 2.00375e-05, + "loss": 1.4609, + "step": 2397 + }, + { + "epoch": 0.6, + "learning_rate": 2.0025000000000002e-05, + "loss": 1.3047, + "step": 2398 + }, + { + "epoch": 0.6, + "learning_rate": 2.0012500000000002e-05, + "loss": 1.1084, + "step": 2399 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 1.3174, + "step": 2400 + }, + { + "epoch": 0.6, + "learning_rate": 1.99875e-05, + "loss": 1.5342, + "step": 2401 + }, + { + "epoch": 0.6, + "learning_rate": 1.9975e-05, + "loss": 1.1357, + "step": 2402 + }, + { + "epoch": 0.6, + "learning_rate": 1.99625e-05, + "loss": 1.0986, + "step": 2403 + }, + { + "epoch": 0.6, + "learning_rate": 1.995e-05, + "loss": 1.1455, + "step": 2404 + }, + { + "epoch": 0.6, + "learning_rate": 1.99375e-05, + "loss": 1.3799, + "step": 2405 + }, + { + "epoch": 0.6, + "learning_rate": 1.9925000000000003e-05, + "loss": 1.5479, + "step": 2406 + }, + { + "epoch": 0.6, + "learning_rate": 1.99125e-05, + "loss": 1.3418, + "step": 2407 + }, + { + "epoch": 0.6, + "learning_rate": 1.9900000000000003e-05, + "loss": 1.1631, + "step": 2408 + }, + { + "epoch": 0.6, + "learning_rate": 1.98875e-05, + "loss": 1.3594, + "step": 2409 + }, + { + "epoch": 0.6, + "learning_rate": 1.9875000000000002e-05, + "loss": 1.1719, + "step": 2410 + }, + { + "epoch": 0.6, + "learning_rate": 1.98625e-05, + "loss": 1.4121, + "step": 2411 + }, + { + "epoch": 0.6, + "learning_rate": 1.985e-05, + "loss": 0.9971, + "step": 2412 + }, + { + "epoch": 0.6, + "learning_rate": 1.98375e-05, + "loss": 1.2988, + "step": 2413 + }, + { + "epoch": 0.6, + "learning_rate": 1.9825e-05, + "loss": 1.3223, + "step": 2414 + }, + { + "epoch": 0.6, + "learning_rate": 1.98125e-05, + "loss": 1.3613, + "step": 2415 + }, + { + "epoch": 0.6, + "learning_rate": 1.9800000000000004e-05, + "loss": 1.4385, + "step": 2416 + }, + { + "epoch": 0.6, + "learning_rate": 1.97875e-05, + "loss": 1.2549, + "step": 2417 + }, + { + "epoch": 0.6, + "learning_rate": 1.9775000000000003e-05, + "loss": 1.3047, + "step": 2418 + }, + { + "epoch": 0.6, + "learning_rate": 1.97625e-05, + "loss": 1.1279, + "step": 2419 + }, + { + "epoch": 0.6, + "learning_rate": 1.9750000000000002e-05, + "loss": 1.3184, + "step": 2420 + }, + { + "epoch": 0.61, + "learning_rate": 1.9737500000000002e-05, + "loss": 1.1973, + "step": 2421 + }, + { + "epoch": 0.61, + "learning_rate": 1.9725000000000002e-05, + "loss": 1.5977, + "step": 2422 + }, + { + "epoch": 0.61, + "learning_rate": 1.97125e-05, + "loss": 1.2314, + "step": 2423 + }, + { + "epoch": 0.61, + "learning_rate": 1.97e-05, + "loss": 1.124, + "step": 2424 + }, + { + "epoch": 0.61, + "learning_rate": 1.96875e-05, + "loss": 1.1055, + "step": 2425 + }, + { + "epoch": 0.61, + "learning_rate": 1.9675e-05, + "loss": 1.2275, + "step": 2426 + }, + { + "epoch": 0.61, + "learning_rate": 1.96625e-05, + "loss": 1.3877, + "step": 2427 + }, + { + "epoch": 0.61, + "learning_rate": 1.9650000000000003e-05, + "loss": 1.2959, + "step": 2428 + }, + { + "epoch": 0.61, + "learning_rate": 1.96375e-05, + "loss": 1.3379, + "step": 2429 + }, + { + "epoch": 0.61, + "learning_rate": 1.9625000000000003e-05, + "loss": 1.1816, + "step": 2430 + }, + { + "epoch": 0.61, + "learning_rate": 1.96125e-05, + "loss": 1.5234, + "step": 2431 + }, + { + "epoch": 0.61, + "learning_rate": 1.9600000000000002e-05, + "loss": 1.4746, + "step": 2432 + }, + { + "epoch": 0.61, + "learning_rate": 1.9587500000000002e-05, + "loss": 1.1377, + "step": 2433 + }, + { + "epoch": 0.61, + "learning_rate": 1.9575e-05, + "loss": 1.4033, + "step": 2434 + }, + { + "epoch": 0.61, + "learning_rate": 1.95625e-05, + "loss": 1.209, + "step": 2435 + }, + { + "epoch": 0.61, + "learning_rate": 1.955e-05, + "loss": 1.2676, + "step": 2436 + }, + { + "epoch": 0.61, + "learning_rate": 1.95375e-05, + "loss": 1.3086, + "step": 2437 + }, + { + "epoch": 0.61, + "learning_rate": 1.9525e-05, + "loss": 0.9058, + "step": 2438 + }, + { + "epoch": 0.61, + "learning_rate": 1.95125e-05, + "loss": 1.4512, + "step": 2439 + }, + { + "epoch": 0.61, + "learning_rate": 1.9500000000000003e-05, + "loss": 1.1289, + "step": 2440 + }, + { + "epoch": 0.61, + "learning_rate": 1.94875e-05, + "loss": 1.4707, + "step": 2441 + }, + { + "epoch": 0.61, + "learning_rate": 1.9475000000000002e-05, + "loss": 0.96, + "step": 2442 + }, + { + "epoch": 0.61, + "learning_rate": 1.94625e-05, + "loss": 0.9707, + "step": 2443 + }, + { + "epoch": 0.61, + "learning_rate": 1.9450000000000002e-05, + "loss": 1.0244, + "step": 2444 + }, + { + "epoch": 0.61, + "learning_rate": 1.94375e-05, + "loss": 1.2021, + "step": 2445 + }, + { + "epoch": 0.61, + "learning_rate": 1.9425e-05, + "loss": 1.3584, + "step": 2446 + }, + { + "epoch": 0.61, + "learning_rate": 1.94125e-05, + "loss": 1.1572, + "step": 2447 + }, + { + "epoch": 0.61, + "learning_rate": 1.94e-05, + "loss": 1.3682, + "step": 2448 + }, + { + "epoch": 0.61, + "learning_rate": 1.93875e-05, + "loss": 1.0264, + "step": 2449 + }, + { + "epoch": 0.61, + "learning_rate": 1.9375e-05, + "loss": 1.3584, + "step": 2450 + }, + { + "epoch": 0.61, + "learning_rate": 1.93625e-05, + "loss": 1.3701, + "step": 2451 + }, + { + "epoch": 0.61, + "learning_rate": 1.9350000000000003e-05, + "loss": 1.1689, + "step": 2452 + }, + { + "epoch": 0.61, + "learning_rate": 1.93375e-05, + "loss": 1.2236, + "step": 2453 + }, + { + "epoch": 0.61, + "learning_rate": 1.9325000000000002e-05, + "loss": 1.4873, + "step": 2454 + }, + { + "epoch": 0.61, + "learning_rate": 1.93125e-05, + "loss": 1.3184, + "step": 2455 + }, + { + "epoch": 0.61, + "learning_rate": 1.93e-05, + "loss": 1.1895, + "step": 2456 + }, + { + "epoch": 0.61, + "learning_rate": 1.92875e-05, + "loss": 0.9536, + "step": 2457 + }, + { + "epoch": 0.61, + "learning_rate": 1.9275e-05, + "loss": 1.5, + "step": 2458 + }, + { + "epoch": 0.61, + "learning_rate": 1.92625e-05, + "loss": 1.5225, + "step": 2459 + }, + { + "epoch": 0.61, + "learning_rate": 1.925e-05, + "loss": 1.3447, + "step": 2460 + }, + { + "epoch": 0.62, + "learning_rate": 1.92375e-05, + "loss": 1.084, + "step": 2461 + }, + { + "epoch": 0.62, + "learning_rate": 1.9225e-05, + "loss": 1.1758, + "step": 2462 + }, + { + "epoch": 0.62, + "learning_rate": 1.92125e-05, + "loss": 1.04, + "step": 2463 + }, + { + "epoch": 0.62, + "learning_rate": 1.9200000000000003e-05, + "loss": 1.3086, + "step": 2464 + }, + { + "epoch": 0.62, + "learning_rate": 1.91875e-05, + "loss": 1.0498, + "step": 2465 + }, + { + "epoch": 0.62, + "learning_rate": 1.9175000000000002e-05, + "loss": 1.3496, + "step": 2466 + }, + { + "epoch": 0.62, + "learning_rate": 1.9162499999999998e-05, + "loss": 1.1826, + "step": 2467 + }, + { + "epoch": 0.62, + "learning_rate": 1.915e-05, + "loss": 1.1201, + "step": 2468 + }, + { + "epoch": 0.62, + "learning_rate": 1.91375e-05, + "loss": 1.2412, + "step": 2469 + }, + { + "epoch": 0.62, + "learning_rate": 1.9125e-05, + "loss": 1.1631, + "step": 2470 + }, + { + "epoch": 0.62, + "learning_rate": 1.91125e-05, + "loss": 1.2002, + "step": 2471 + }, + { + "epoch": 0.62, + "learning_rate": 1.91e-05, + "loss": 1.1152, + "step": 2472 + }, + { + "epoch": 0.62, + "learning_rate": 1.90875e-05, + "loss": 1.3232, + "step": 2473 + }, + { + "epoch": 0.62, + "learning_rate": 1.9075000000000003e-05, + "loss": 1.3584, + "step": 2474 + }, + { + "epoch": 0.62, + "learning_rate": 1.90625e-05, + "loss": 1.3242, + "step": 2475 + }, + { + "epoch": 0.62, + "learning_rate": 1.9050000000000002e-05, + "loss": 1.3311, + "step": 2476 + }, + { + "epoch": 0.62, + "learning_rate": 1.90375e-05, + "loss": 1.4473, + "step": 2477 + }, + { + "epoch": 0.62, + "learning_rate": 1.9025e-05, + "loss": 1.2129, + "step": 2478 + }, + { + "epoch": 0.62, + "learning_rate": 1.90125e-05, + "loss": 1.1484, + "step": 2479 + }, + { + "epoch": 0.62, + "learning_rate": 1.9e-05, + "loss": 1.084, + "step": 2480 + }, + { + "epoch": 0.62, + "learning_rate": 1.89875e-05, + "loss": 1.2217, + "step": 2481 + }, + { + "epoch": 0.62, + "learning_rate": 1.8975e-05, + "loss": 1.1406, + "step": 2482 + }, + { + "epoch": 0.62, + "learning_rate": 1.89625e-05, + "loss": 0.9233, + "step": 2483 + }, + { + "epoch": 0.62, + "learning_rate": 1.895e-05, + "loss": 1.0879, + "step": 2484 + }, + { + "epoch": 0.62, + "learning_rate": 1.89375e-05, + "loss": 1.209, + "step": 2485 + }, + { + "epoch": 0.62, + "learning_rate": 1.8925000000000003e-05, + "loss": 1.3379, + "step": 2486 + }, + { + "epoch": 0.62, + "learning_rate": 1.89125e-05, + "loss": 1.293, + "step": 2487 + }, + { + "epoch": 0.62, + "learning_rate": 1.8900000000000002e-05, + "loss": 1.2061, + "step": 2488 + }, + { + "epoch": 0.62, + "learning_rate": 1.88875e-05, + "loss": 1.1367, + "step": 2489 + }, + { + "epoch": 0.62, + "learning_rate": 1.8875e-05, + "loss": 1.4229, + "step": 2490 + }, + { + "epoch": 0.62, + "learning_rate": 1.88625e-05, + "loss": 1.2969, + "step": 2491 + }, + { + "epoch": 0.62, + "learning_rate": 1.885e-05, + "loss": 1.2451, + "step": 2492 + }, + { + "epoch": 0.62, + "learning_rate": 1.88375e-05, + "loss": 1.2373, + "step": 2493 + }, + { + "epoch": 0.62, + "learning_rate": 1.8825e-05, + "loss": 1.1797, + "step": 2494 + }, + { + "epoch": 0.62, + "learning_rate": 1.88125e-05, + "loss": 0.9692, + "step": 2495 + }, + { + "epoch": 0.62, + "learning_rate": 1.88e-05, + "loss": 1.2881, + "step": 2496 + }, + { + "epoch": 0.62, + "learning_rate": 1.87875e-05, + "loss": 1.5078, + "step": 2497 + }, + { + "epoch": 0.62, + "learning_rate": 1.8775000000000002e-05, + "loss": 1.1973, + "step": 2498 + }, + { + "epoch": 0.62, + "learning_rate": 1.87625e-05, + "loss": 1.2559, + "step": 2499 + }, + { + "epoch": 0.62, + "learning_rate": 1.8750000000000002e-05, + "loss": 1.2881, + "step": 2500 + }, + { + "epoch": 0.63, + "learning_rate": 1.87375e-05, + "loss": 1.3584, + "step": 2501 + }, + { + "epoch": 0.63, + "learning_rate": 1.8725e-05, + "loss": 1.5469, + "step": 2502 + }, + { + "epoch": 0.63, + "learning_rate": 1.87125e-05, + "loss": 1.4395, + "step": 2503 + }, + { + "epoch": 0.63, + "learning_rate": 1.87e-05, + "loss": 1.1162, + "step": 2504 + }, + { + "epoch": 0.63, + "learning_rate": 1.8687500000000004e-05, + "loss": 1.3428, + "step": 2505 + }, + { + "epoch": 0.63, + "learning_rate": 1.8675e-05, + "loss": 1.1992, + "step": 2506 + }, + { + "epoch": 0.63, + "learning_rate": 1.8662500000000003e-05, + "loss": 1.3174, + "step": 2507 + }, + { + "epoch": 0.63, + "learning_rate": 1.865e-05, + "loss": 1.3916, + "step": 2508 + }, + { + "epoch": 0.63, + "learning_rate": 1.8637500000000002e-05, + "loss": 1.5684, + "step": 2509 + }, + { + "epoch": 0.63, + "learning_rate": 1.8625000000000002e-05, + "loss": 1.2539, + "step": 2510 + }, + { + "epoch": 0.63, + "learning_rate": 1.8612500000000002e-05, + "loss": 1.3242, + "step": 2511 + }, + { + "epoch": 0.63, + "learning_rate": 1.86e-05, + "loss": 1.4014, + "step": 2512 + }, + { + "epoch": 0.63, + "learning_rate": 1.85875e-05, + "loss": 1.3008, + "step": 2513 + }, + { + "epoch": 0.63, + "learning_rate": 1.8575e-05, + "loss": 1.3213, + "step": 2514 + }, + { + "epoch": 0.63, + "learning_rate": 1.85625e-05, + "loss": 1.3799, + "step": 2515 + }, + { + "epoch": 0.63, + "learning_rate": 1.855e-05, + "loss": 1.5264, + "step": 2516 + }, + { + "epoch": 0.63, + "learning_rate": 1.8537500000000003e-05, + "loss": 1.332, + "step": 2517 + }, + { + "epoch": 0.63, + "learning_rate": 1.8525e-05, + "loss": 1.3408, + "step": 2518 + }, + { + "epoch": 0.63, + "learning_rate": 1.8512500000000003e-05, + "loss": 1.3154, + "step": 2519 + }, + { + "epoch": 0.63, + "learning_rate": 1.85e-05, + "loss": 1.4883, + "step": 2520 + }, + { + "epoch": 0.63, + "learning_rate": 1.8487500000000002e-05, + "loss": 0.9668, + "step": 2521 + }, + { + "epoch": 0.63, + "learning_rate": 1.8475000000000002e-05, + "loss": 1.1094, + "step": 2522 + }, + { + "epoch": 0.63, + "learning_rate": 1.84625e-05, + "loss": 1.1055, + "step": 2523 + }, + { + "epoch": 0.63, + "learning_rate": 1.845e-05, + "loss": 1.3369, + "step": 2524 + }, + { + "epoch": 0.63, + "learning_rate": 1.84375e-05, + "loss": 1.4043, + "step": 2525 + }, + { + "epoch": 0.63, + "learning_rate": 1.8425e-05, + "loss": 1.4717, + "step": 2526 + }, + { + "epoch": 0.63, + "learning_rate": 1.84125e-05, + "loss": 1.1113, + "step": 2527 + }, + { + "epoch": 0.63, + "learning_rate": 1.84e-05, + "loss": 1.0977, + "step": 2528 + }, + { + "epoch": 0.63, + "learning_rate": 1.8387500000000003e-05, + "loss": 1.3281, + "step": 2529 + }, + { + "epoch": 0.63, + "learning_rate": 1.8375e-05, + "loss": 1.377, + "step": 2530 + }, + { + "epoch": 0.63, + "learning_rate": 1.8362500000000002e-05, + "loss": 1.209, + "step": 2531 + }, + { + "epoch": 0.63, + "learning_rate": 1.8350000000000002e-05, + "loss": 1.2227, + "step": 2532 + }, + { + "epoch": 0.63, + "learning_rate": 1.8337500000000002e-05, + "loss": 1.1982, + "step": 2533 + }, + { + "epoch": 0.63, + "learning_rate": 1.8325e-05, + "loss": 1.126, + "step": 2534 + }, + { + "epoch": 0.63, + "learning_rate": 1.83125e-05, + "loss": 1.3359, + "step": 2535 + }, + { + "epoch": 0.63, + "learning_rate": 1.83e-05, + "loss": 1.2207, + "step": 2536 + }, + { + "epoch": 0.63, + "learning_rate": 1.82875e-05, + "loss": 1.0479, + "step": 2537 + }, + { + "epoch": 0.63, + "learning_rate": 1.8275e-05, + "loss": 1.1377, + "step": 2538 + }, + { + "epoch": 0.63, + "learning_rate": 1.8262500000000003e-05, + "loss": 1.2715, + "step": 2539 + }, + { + "epoch": 0.64, + "learning_rate": 1.825e-05, + "loss": 1.1748, + "step": 2540 + }, + { + "epoch": 0.64, + "learning_rate": 1.8237500000000003e-05, + "loss": 1.3994, + "step": 2541 + }, + { + "epoch": 0.64, + "learning_rate": 1.8225e-05, + "loss": 1.6729, + "step": 2542 + }, + { + "epoch": 0.64, + "learning_rate": 1.8212500000000002e-05, + "loss": 1.3145, + "step": 2543 + }, + { + "epoch": 0.64, + "learning_rate": 1.8200000000000002e-05, + "loss": 1.1104, + "step": 2544 + }, + { + "epoch": 0.64, + "learning_rate": 1.81875e-05, + "loss": 1.4678, + "step": 2545 + }, + { + "epoch": 0.64, + "learning_rate": 1.8175e-05, + "loss": 1.3916, + "step": 2546 + }, + { + "epoch": 0.64, + "learning_rate": 1.81625e-05, + "loss": 1.2383, + "step": 2547 + }, + { + "epoch": 0.64, + "learning_rate": 1.815e-05, + "loss": 1.3887, + "step": 2548 + }, + { + "epoch": 0.64, + "learning_rate": 1.81375e-05, + "loss": 1.3662, + "step": 2549 + }, + { + "epoch": 0.64, + "learning_rate": 1.8125e-05, + "loss": 1.2314, + "step": 2550 + }, + { + "epoch": 0.64, + "learning_rate": 1.8112500000000003e-05, + "loss": 1.3213, + "step": 2551 + }, + { + "epoch": 0.64, + "learning_rate": 1.81e-05, + "loss": 1.2471, + "step": 2552 + }, + { + "epoch": 0.64, + "learning_rate": 1.8087500000000003e-05, + "loss": 1.3682, + "step": 2553 + }, + { + "epoch": 0.64, + "learning_rate": 1.8075e-05, + "loss": 1.1855, + "step": 2554 + }, + { + "epoch": 0.64, + "learning_rate": 1.8062500000000002e-05, + "loss": 1.3809, + "step": 2555 + }, + { + "epoch": 0.64, + "learning_rate": 1.805e-05, + "loss": 1.5498, + "step": 2556 + }, + { + "epoch": 0.64, + "learning_rate": 1.80375e-05, + "loss": 1.2324, + "step": 2557 + }, + { + "epoch": 0.64, + "learning_rate": 1.8025e-05, + "loss": 1.2559, + "step": 2558 + }, + { + "epoch": 0.64, + "learning_rate": 1.80125e-05, + "loss": 1.2324, + "step": 2559 + }, + { + "epoch": 0.64, + "learning_rate": 1.8e-05, + "loss": 1.2129, + "step": 2560 + }, + { + "epoch": 0.64, + "learning_rate": 1.79875e-05, + "loss": 1.0293, + "step": 2561 + }, + { + "epoch": 0.64, + "learning_rate": 1.7975e-05, + "loss": 1.0811, + "step": 2562 + }, + { + "epoch": 0.64, + "learning_rate": 1.7962500000000003e-05, + "loss": 1.627, + "step": 2563 + }, + { + "epoch": 0.64, + "learning_rate": 1.795e-05, + "loss": 1.3027, + "step": 2564 + }, + { + "epoch": 0.64, + "learning_rate": 1.7937500000000002e-05, + "loss": 1.1025, + "step": 2565 + }, + { + "epoch": 0.64, + "learning_rate": 1.7925e-05, + "loss": 1.3574, + "step": 2566 + }, + { + "epoch": 0.64, + "learning_rate": 1.7912500000000002e-05, + "loss": 1.4414, + "step": 2567 + }, + { + "epoch": 0.64, + "learning_rate": 1.79e-05, + "loss": 1.1104, + "step": 2568 + }, + { + "epoch": 0.64, + "learning_rate": 1.78875e-05, + "loss": 1.4092, + "step": 2569 + }, + { + "epoch": 0.64, + "learning_rate": 1.7875e-05, + "loss": 1.2314, + "step": 2570 + }, + { + "epoch": 0.64, + "learning_rate": 1.78625e-05, + "loss": 1.083, + "step": 2571 + }, + { + "epoch": 0.64, + "learning_rate": 1.785e-05, + "loss": 1.1494, + "step": 2572 + }, + { + "epoch": 0.64, + "learning_rate": 1.78375e-05, + "loss": 1.3535, + "step": 2573 + }, + { + "epoch": 0.64, + "learning_rate": 1.7825e-05, + "loss": 1.2744, + "step": 2574 + }, + { + "epoch": 0.64, + "learning_rate": 1.7812500000000003e-05, + "loss": 1.0273, + "step": 2575 + }, + { + "epoch": 0.64, + "learning_rate": 1.78e-05, + "loss": 1.46, + "step": 2576 + }, + { + "epoch": 0.64, + "learning_rate": 1.7787500000000002e-05, + "loss": 1.1709, + "step": 2577 + }, + { + "epoch": 0.64, + "learning_rate": 1.7775e-05, + "loss": 1.2939, + "step": 2578 + }, + { + "epoch": 0.64, + "learning_rate": 1.77625e-05, + "loss": 1.4736, + "step": 2579 + }, + { + "epoch": 0.65, + "learning_rate": 1.775e-05, + "loss": 1.4648, + "step": 2580 + }, + { + "epoch": 0.65, + "learning_rate": 1.77375e-05, + "loss": 1.3789, + "step": 2581 + }, + { + "epoch": 0.65, + "learning_rate": 1.7725e-05, + "loss": 1.1592, + "step": 2582 + }, + { + "epoch": 0.65, + "learning_rate": 1.77125e-05, + "loss": 1.0508, + "step": 2583 + }, + { + "epoch": 0.65, + "learning_rate": 1.77e-05, + "loss": 0.9014, + "step": 2584 + }, + { + "epoch": 0.65, + "learning_rate": 1.76875e-05, + "loss": 1.2695, + "step": 2585 + }, + { + "epoch": 0.65, + "learning_rate": 1.7675e-05, + "loss": 1.1357, + "step": 2586 + }, + { + "epoch": 0.65, + "learning_rate": 1.7662500000000002e-05, + "loss": 1.2812, + "step": 2587 + }, + { + "epoch": 0.65, + "learning_rate": 1.765e-05, + "loss": 0.9966, + "step": 2588 + }, + { + "epoch": 0.65, + "learning_rate": 1.7637500000000002e-05, + "loss": 1.0898, + "step": 2589 + }, + { + "epoch": 0.65, + "learning_rate": 1.7625e-05, + "loss": 1.04, + "step": 2590 + }, + { + "epoch": 0.65, + "learning_rate": 1.76125e-05, + "loss": 1.4512, + "step": 2591 + }, + { + "epoch": 0.65, + "learning_rate": 1.76e-05, + "loss": 1.5039, + "step": 2592 + }, + { + "epoch": 0.65, + "learning_rate": 1.75875e-05, + "loss": 1.2422, + "step": 2593 + }, + { + "epoch": 0.65, + "learning_rate": 1.7575e-05, + "loss": 1.4307, + "step": 2594 + }, + { + "epoch": 0.65, + "learning_rate": 1.75625e-05, + "loss": 1.2217, + "step": 2595 + }, + { + "epoch": 0.65, + "learning_rate": 1.755e-05, + "loss": 1.3955, + "step": 2596 + }, + { + "epoch": 0.65, + "learning_rate": 1.7537500000000003e-05, + "loss": 1.2939, + "step": 2597 + }, + { + "epoch": 0.65, + "learning_rate": 1.7525e-05, + "loss": 1.085, + "step": 2598 + }, + { + "epoch": 0.65, + "learning_rate": 1.7512500000000002e-05, + "loss": 1.3174, + "step": 2599 + }, + { + "epoch": 0.65, + "learning_rate": 1.75e-05, + "loss": 1.3203, + "step": 2600 + }, + { + "epoch": 0.65, + "learning_rate": 1.74875e-05, + "loss": 1.2441, + "step": 2601 + }, + { + "epoch": 0.65, + "learning_rate": 1.7475e-05, + "loss": 1.4746, + "step": 2602 + }, + { + "epoch": 0.65, + "learning_rate": 1.74625e-05, + "loss": 1.0117, + "step": 2603 + }, + { + "epoch": 0.65, + "learning_rate": 1.745e-05, + "loss": 1.2852, + "step": 2604 + }, + { + "epoch": 0.65, + "learning_rate": 1.74375e-05, + "loss": 1.4551, + "step": 2605 + }, + { + "epoch": 0.65, + "learning_rate": 1.7425e-05, + "loss": 1.3408, + "step": 2606 + }, + { + "epoch": 0.65, + "learning_rate": 1.74125e-05, + "loss": 1.1279, + "step": 2607 + }, + { + "epoch": 0.65, + "learning_rate": 1.74e-05, + "loss": 1.2188, + "step": 2608 + }, + { + "epoch": 0.65, + "learning_rate": 1.7387500000000003e-05, + "loss": 1.1465, + "step": 2609 + }, + { + "epoch": 0.65, + "learning_rate": 1.7375e-05, + "loss": 1.2549, + "step": 2610 + }, + { + "epoch": 0.65, + "learning_rate": 1.7362500000000002e-05, + "loss": 1.2744, + "step": 2611 + }, + { + "epoch": 0.65, + "learning_rate": 1.7349999999999998e-05, + "loss": 1.2344, + "step": 2612 + }, + { + "epoch": 0.65, + "learning_rate": 1.73375e-05, + "loss": 0.9639, + "step": 2613 + }, + { + "epoch": 0.65, + "learning_rate": 1.7325e-05, + "loss": 1.3447, + "step": 2614 + }, + { + "epoch": 0.65, + "learning_rate": 1.73125e-05, + "loss": 1.3799, + "step": 2615 + }, + { + "epoch": 0.65, + "learning_rate": 1.73e-05, + "loss": 1.2783, + "step": 2616 + }, + { + "epoch": 0.65, + "learning_rate": 1.72875e-05, + "loss": 1.3975, + "step": 2617 + }, + { + "epoch": 0.65, + "learning_rate": 1.7275e-05, + "loss": 1.376, + "step": 2618 + }, + { + "epoch": 0.65, + "learning_rate": 1.72625e-05, + "loss": 1.2764, + "step": 2619 + }, + { + "epoch": 0.66, + "learning_rate": 1.725e-05, + "loss": 1.5625, + "step": 2620 + }, + { + "epoch": 0.66, + "learning_rate": 1.7237500000000002e-05, + "loss": 1.3027, + "step": 2621 + }, + { + "epoch": 0.66, + "learning_rate": 1.7225e-05, + "loss": 1.4463, + "step": 2622 + }, + { + "epoch": 0.66, + "learning_rate": 1.72125e-05, + "loss": 1.252, + "step": 2623 + }, + { + "epoch": 0.66, + "learning_rate": 1.7199999999999998e-05, + "loss": 1.2666, + "step": 2624 + }, + { + "epoch": 0.66, + "learning_rate": 1.71875e-05, + "loss": 0.9683, + "step": 2625 + }, + { + "epoch": 0.66, + "learning_rate": 1.7175e-05, + "loss": 1.1855, + "step": 2626 + }, + { + "epoch": 0.66, + "learning_rate": 1.71625e-05, + "loss": 1.4229, + "step": 2627 + }, + { + "epoch": 0.66, + "learning_rate": 1.7150000000000004e-05, + "loss": 1.1416, + "step": 2628 + }, + { + "epoch": 0.66, + "learning_rate": 1.71375e-05, + "loss": 0.8525, + "step": 2629 + }, + { + "epoch": 0.66, + "learning_rate": 1.7125000000000003e-05, + "loss": 1.4766, + "step": 2630 + }, + { + "epoch": 0.66, + "learning_rate": 1.71125e-05, + "loss": 1.04, + "step": 2631 + }, + { + "epoch": 0.66, + "learning_rate": 1.7100000000000002e-05, + "loss": 0.9473, + "step": 2632 + }, + { + "epoch": 0.66, + "learning_rate": 1.7087500000000002e-05, + "loss": 1.2451, + "step": 2633 + }, + { + "epoch": 0.66, + "learning_rate": 1.7075e-05, + "loss": 1.2178, + "step": 2634 + }, + { + "epoch": 0.66, + "learning_rate": 1.70625e-05, + "loss": 1.3428, + "step": 2635 + }, + { + "epoch": 0.66, + "learning_rate": 1.705e-05, + "loss": 1.3789, + "step": 2636 + }, + { + "epoch": 0.66, + "learning_rate": 1.70375e-05, + "loss": 1.2871, + "step": 2637 + }, + { + "epoch": 0.66, + "learning_rate": 1.7025e-05, + "loss": 1.4492, + "step": 2638 + }, + { + "epoch": 0.66, + "learning_rate": 1.70125e-05, + "loss": 1.2549, + "step": 2639 + }, + { + "epoch": 0.66, + "learning_rate": 1.7000000000000003e-05, + "loss": 1.376, + "step": 2640 + }, + { + "epoch": 0.66, + "learning_rate": 1.69875e-05, + "loss": 1.2783, + "step": 2641 + }, + { + "epoch": 0.66, + "learning_rate": 1.6975000000000003e-05, + "loss": 1.0684, + "step": 2642 + }, + { + "epoch": 0.66, + "learning_rate": 1.69625e-05, + "loss": 1.0029, + "step": 2643 + }, + { + "epoch": 0.66, + "learning_rate": 1.6950000000000002e-05, + "loss": 1.373, + "step": 2644 + }, + { + "epoch": 0.66, + "learning_rate": 1.6937500000000002e-05, + "loss": 1.3818, + "step": 2645 + }, + { + "epoch": 0.66, + "learning_rate": 1.6925e-05, + "loss": 1.418, + "step": 2646 + }, + { + "epoch": 0.66, + "learning_rate": 1.69125e-05, + "loss": 1.4111, + "step": 2647 + }, + { + "epoch": 0.66, + "learning_rate": 1.69e-05, + "loss": 1.2764, + "step": 2648 + }, + { + "epoch": 0.66, + "learning_rate": 1.68875e-05, + "loss": 1.2559, + "step": 2649 + }, + { + "epoch": 0.66, + "learning_rate": 1.6875000000000004e-05, + "loss": 1.4434, + "step": 2650 + }, + { + "epoch": 0.66, + "learning_rate": 1.68625e-05, + "loss": 1.1602, + "step": 2651 + }, + { + "epoch": 0.66, + "learning_rate": 1.6850000000000003e-05, + "loss": 1.1914, + "step": 2652 + }, + { + "epoch": 0.66, + "learning_rate": 1.68375e-05, + "loss": 1.3691, + "step": 2653 + }, + { + "epoch": 0.66, + "learning_rate": 1.6825000000000002e-05, + "loss": 1.2881, + "step": 2654 + }, + { + "epoch": 0.66, + "learning_rate": 1.6812500000000002e-05, + "loss": 1.3428, + "step": 2655 + }, + { + "epoch": 0.66, + "learning_rate": 1.6800000000000002e-05, + "loss": 1.2432, + "step": 2656 + }, + { + "epoch": 0.66, + "learning_rate": 1.67875e-05, + "loss": 1.2471, + "step": 2657 + }, + { + "epoch": 0.66, + "learning_rate": 1.6775e-05, + "loss": 1.1924, + "step": 2658 + }, + { + "epoch": 0.66, + "learning_rate": 1.67625e-05, + "loss": 1.5146, + "step": 2659 + }, + { + "epoch": 0.67, + "learning_rate": 1.675e-05, + "loss": 1.4053, + "step": 2660 + }, + { + "epoch": 0.67, + "learning_rate": 1.67375e-05, + "loss": 1.3975, + "step": 2661 + }, + { + "epoch": 0.67, + "learning_rate": 1.6725000000000003e-05, + "loss": 1.3369, + "step": 2662 + }, + { + "epoch": 0.67, + "learning_rate": 1.67125e-05, + "loss": 0.9771, + "step": 2663 + }, + { + "epoch": 0.67, + "learning_rate": 1.6700000000000003e-05, + "loss": 1.0342, + "step": 2664 + }, + { + "epoch": 0.67, + "learning_rate": 1.66875e-05, + "loss": 1.0586, + "step": 2665 + }, + { + "epoch": 0.67, + "learning_rate": 1.6675000000000002e-05, + "loss": 1.3848, + "step": 2666 + }, + { + "epoch": 0.67, + "learning_rate": 1.6662500000000002e-05, + "loss": 1.1855, + "step": 2667 + }, + { + "epoch": 0.67, + "learning_rate": 1.665e-05, + "loss": 1.3486, + "step": 2668 + }, + { + "epoch": 0.67, + "learning_rate": 1.66375e-05, + "loss": 1.1338, + "step": 2669 + }, + { + "epoch": 0.67, + "learning_rate": 1.6625e-05, + "loss": 1.3213, + "step": 2670 + }, + { + "epoch": 0.67, + "learning_rate": 1.66125e-05, + "loss": 1.1846, + "step": 2671 + }, + { + "epoch": 0.67, + "learning_rate": 1.66e-05, + "loss": 1.1172, + "step": 2672 + }, + { + "epoch": 0.67, + "learning_rate": 1.65875e-05, + "loss": 1.2656, + "step": 2673 + }, + { + "epoch": 0.67, + "learning_rate": 1.6575000000000003e-05, + "loss": 1.0684, + "step": 2674 + }, + { + "epoch": 0.67, + "learning_rate": 1.65625e-05, + "loss": 1.0498, + "step": 2675 + }, + { + "epoch": 0.67, + "learning_rate": 1.6550000000000002e-05, + "loss": 1.2939, + "step": 2676 + }, + { + "epoch": 0.67, + "learning_rate": 1.65375e-05, + "loss": 1.4268, + "step": 2677 + }, + { + "epoch": 0.67, + "learning_rate": 1.6525000000000002e-05, + "loss": 1.2793, + "step": 2678 + }, + { + "epoch": 0.67, + "learning_rate": 1.65125e-05, + "loss": 1.3213, + "step": 2679 + }, + { + "epoch": 0.67, + "learning_rate": 1.65e-05, + "loss": 1.2969, + "step": 2680 + }, + { + "epoch": 0.67, + "learning_rate": 1.64875e-05, + "loss": 1.1602, + "step": 2681 + }, + { + "epoch": 0.67, + "learning_rate": 1.6475e-05, + "loss": 1.4346, + "step": 2682 + }, + { + "epoch": 0.67, + "learning_rate": 1.64625e-05, + "loss": 1.2549, + "step": 2683 + }, + { + "epoch": 0.67, + "learning_rate": 1.645e-05, + "loss": 1.3037, + "step": 2684 + }, + { + "epoch": 0.67, + "learning_rate": 1.64375e-05, + "loss": 1.2803, + "step": 2685 + }, + { + "epoch": 0.67, + "learning_rate": 1.6425000000000003e-05, + "loss": 1.2354, + "step": 2686 + }, + { + "epoch": 0.67, + "learning_rate": 1.64125e-05, + "loss": 1.2344, + "step": 2687 + }, + { + "epoch": 0.67, + "learning_rate": 1.6400000000000002e-05, + "loss": 1.0938, + "step": 2688 + }, + { + "epoch": 0.67, + "learning_rate": 1.63875e-05, + "loss": 1.3613, + "step": 2689 + }, + { + "epoch": 0.67, + "learning_rate": 1.6375e-05, + "loss": 1.1406, + "step": 2690 + }, + { + "epoch": 0.67, + "learning_rate": 1.63625e-05, + "loss": 1.1699, + "step": 2691 + }, + { + "epoch": 0.67, + "learning_rate": 1.635e-05, + "loss": 1.4326, + "step": 2692 + }, + { + "epoch": 0.67, + "learning_rate": 1.63375e-05, + "loss": 1.3906, + "step": 2693 + }, + { + "epoch": 0.67, + "learning_rate": 1.6325e-05, + "loss": 1.3164, + "step": 2694 + }, + { + "epoch": 0.67, + "learning_rate": 1.63125e-05, + "loss": 1.0957, + "step": 2695 + }, + { + "epoch": 0.67, + "learning_rate": 1.63e-05, + "loss": 1.3398, + "step": 2696 + }, + { + "epoch": 0.67, + "learning_rate": 1.62875e-05, + "loss": 1.3164, + "step": 2697 + }, + { + "epoch": 0.67, + "learning_rate": 1.6275000000000003e-05, + "loss": 1.3027, + "step": 2698 + }, + { + "epoch": 0.67, + "learning_rate": 1.62625e-05, + "loss": 1.0557, + "step": 2699 + }, + { + "epoch": 0.68, + "learning_rate": 1.6250000000000002e-05, + "loss": 1.0996, + "step": 2700 + }, + { + "epoch": 0.68, + "learning_rate": 1.6237499999999998e-05, + "loss": 1.1592, + "step": 2701 + }, + { + "epoch": 0.68, + "learning_rate": 1.6225e-05, + "loss": 1.293, + "step": 2702 + }, + { + "epoch": 0.68, + "learning_rate": 1.62125e-05, + "loss": 1.21, + "step": 2703 + }, + { + "epoch": 0.68, + "learning_rate": 1.62e-05, + "loss": 1.5342, + "step": 2704 + }, + { + "epoch": 0.68, + "learning_rate": 1.61875e-05, + "loss": 1.1377, + "step": 2705 + }, + { + "epoch": 0.68, + "learning_rate": 1.6175e-05, + "loss": 1.1641, + "step": 2706 + }, + { + "epoch": 0.68, + "learning_rate": 1.61625e-05, + "loss": 1.2939, + "step": 2707 + }, + { + "epoch": 0.68, + "learning_rate": 1.6150000000000003e-05, + "loss": 1.3379, + "step": 2708 + }, + { + "epoch": 0.68, + "learning_rate": 1.61375e-05, + "loss": 1.0361, + "step": 2709 + }, + { + "epoch": 0.68, + "learning_rate": 1.6125000000000002e-05, + "loss": 1.166, + "step": 2710 + }, + { + "epoch": 0.68, + "learning_rate": 1.61125e-05, + "loss": 1.3994, + "step": 2711 + }, + { + "epoch": 0.68, + "learning_rate": 1.6100000000000002e-05, + "loss": 1.2568, + "step": 2712 + }, + { + "epoch": 0.68, + "learning_rate": 1.60875e-05, + "loss": 1.2656, + "step": 2713 + }, + { + "epoch": 0.68, + "learning_rate": 1.6075e-05, + "loss": 1.3311, + "step": 2714 + }, + { + "epoch": 0.68, + "learning_rate": 1.60625e-05, + "loss": 1.5566, + "step": 2715 + }, + { + "epoch": 0.68, + "learning_rate": 1.605e-05, + "loss": 1.084, + "step": 2716 + }, + { + "epoch": 0.68, + "learning_rate": 1.60375e-05, + "loss": 1.5391, + "step": 2717 + }, + { + "epoch": 0.68, + "learning_rate": 1.6025e-05, + "loss": 1.54, + "step": 2718 + }, + { + "epoch": 0.68, + "learning_rate": 1.60125e-05, + "loss": 1.5117, + "step": 2719 + }, + { + "epoch": 0.68, + "learning_rate": 1.6000000000000003e-05, + "loss": 1.3477, + "step": 2720 + }, + { + "epoch": 0.68, + "learning_rate": 1.59875e-05, + "loss": 1.2305, + "step": 2721 + }, + { + "epoch": 0.68, + "learning_rate": 1.5975000000000002e-05, + "loss": 1.126, + "step": 2722 + }, + { + "epoch": 0.68, + "learning_rate": 1.59625e-05, + "loss": 1.4355, + "step": 2723 + }, + { + "epoch": 0.68, + "learning_rate": 1.595e-05, + "loss": 1.4414, + "step": 2724 + }, + { + "epoch": 0.68, + "learning_rate": 1.59375e-05, + "loss": 1.4004, + "step": 2725 + }, + { + "epoch": 0.68, + "learning_rate": 1.5925e-05, + "loss": 1.0625, + "step": 2726 + }, + { + "epoch": 0.68, + "learning_rate": 1.59125e-05, + "loss": 1.3486, + "step": 2727 + }, + { + "epoch": 0.68, + "learning_rate": 1.59e-05, + "loss": 1.166, + "step": 2728 + }, + { + "epoch": 0.68, + "learning_rate": 1.58875e-05, + "loss": 1.2578, + "step": 2729 + }, + { + "epoch": 0.68, + "learning_rate": 1.5875e-05, + "loss": 1.0752, + "step": 2730 + }, + { + "epoch": 0.68, + "learning_rate": 1.58625e-05, + "loss": 1.4844, + "step": 2731 + }, + { + "epoch": 0.68, + "learning_rate": 1.5850000000000002e-05, + "loss": 1.1553, + "step": 2732 + }, + { + "epoch": 0.68, + "learning_rate": 1.58375e-05, + "loss": 1.6562, + "step": 2733 + }, + { + "epoch": 0.68, + "learning_rate": 1.5825000000000002e-05, + "loss": 1.042, + "step": 2734 + }, + { + "epoch": 0.68, + "learning_rate": 1.5812499999999998e-05, + "loss": 1.2852, + "step": 2735 + }, + { + "epoch": 0.68, + "learning_rate": 1.58e-05, + "loss": 1.2168, + "step": 2736 + }, + { + "epoch": 0.68, + "learning_rate": 1.57875e-05, + "loss": 1.2178, + "step": 2737 + }, + { + "epoch": 0.68, + "learning_rate": 1.5775e-05, + "loss": 1.335, + "step": 2738 + }, + { + "epoch": 0.68, + "learning_rate": 1.57625e-05, + "loss": 1.2188, + "step": 2739 + }, + { + "epoch": 0.69, + "learning_rate": 1.575e-05, + "loss": 1.4346, + "step": 2740 + }, + { + "epoch": 0.69, + "learning_rate": 1.57375e-05, + "loss": 1.332, + "step": 2741 + }, + { + "epoch": 0.69, + "learning_rate": 1.5725e-05, + "loss": 1.3359, + "step": 2742 + }, + { + "epoch": 0.69, + "learning_rate": 1.57125e-05, + "loss": 1.2041, + "step": 2743 + }, + { + "epoch": 0.69, + "learning_rate": 1.5700000000000002e-05, + "loss": 1.2783, + "step": 2744 + }, + { + "epoch": 0.69, + "learning_rate": 1.56875e-05, + "loss": 1.4648, + "step": 2745 + }, + { + "epoch": 0.69, + "learning_rate": 1.5675e-05, + "loss": 1.0791, + "step": 2746 + }, + { + "epoch": 0.69, + "learning_rate": 1.5662499999999998e-05, + "loss": 1.2539, + "step": 2747 + }, + { + "epoch": 0.69, + "learning_rate": 1.565e-05, + "loss": 1.0674, + "step": 2748 + }, + { + "epoch": 0.69, + "learning_rate": 1.56375e-05, + "loss": 1.5889, + "step": 2749 + }, + { + "epoch": 0.69, + "learning_rate": 1.5625e-05, + "loss": 1.3857, + "step": 2750 + }, + { + "epoch": 0.69, + "learning_rate": 1.5612500000000003e-05, + "loss": 1.4014, + "step": 2751 + }, + { + "epoch": 0.69, + "learning_rate": 1.56e-05, + "loss": 1.2598, + "step": 2752 + }, + { + "epoch": 0.69, + "learning_rate": 1.5587500000000003e-05, + "loss": 1.3066, + "step": 2753 + }, + { + "epoch": 0.69, + "learning_rate": 1.5575e-05, + "loss": 1.3857, + "step": 2754 + }, + { + "epoch": 0.69, + "learning_rate": 1.5562500000000002e-05, + "loss": 1.0508, + "step": 2755 + }, + { + "epoch": 0.69, + "learning_rate": 1.5550000000000002e-05, + "loss": 1.3291, + "step": 2756 + }, + { + "epoch": 0.69, + "learning_rate": 1.55375e-05, + "loss": 1.1943, + "step": 2757 + }, + { + "epoch": 0.69, + "learning_rate": 1.5525e-05, + "loss": 1.2959, + "step": 2758 + }, + { + "epoch": 0.69, + "learning_rate": 1.55125e-05, + "loss": 1.1592, + "step": 2759 + }, + { + "epoch": 0.69, + "learning_rate": 1.55e-05, + "loss": 1.0283, + "step": 2760 + }, + { + "epoch": 0.69, + "learning_rate": 1.54875e-05, + "loss": 1.5117, + "step": 2761 + }, + { + "epoch": 0.69, + "learning_rate": 1.5475e-05, + "loss": 0.9194, + "step": 2762 + }, + { + "epoch": 0.69, + "learning_rate": 1.5462500000000003e-05, + "loss": 1.2939, + "step": 2763 + }, + { + "epoch": 0.69, + "learning_rate": 1.545e-05, + "loss": 1.4258, + "step": 2764 + }, + { + "epoch": 0.69, + "learning_rate": 1.5437500000000003e-05, + "loss": 0.9976, + "step": 2765 + }, + { + "epoch": 0.69, + "learning_rate": 1.5425000000000002e-05, + "loss": 1.2607, + "step": 2766 + }, + { + "epoch": 0.69, + "learning_rate": 1.5412500000000002e-05, + "loss": 1.1709, + "step": 2767 + }, + { + "epoch": 0.69, + "learning_rate": 1.54e-05, + "loss": 1.4092, + "step": 2768 + }, + { + "epoch": 0.69, + "learning_rate": 1.53875e-05, + "loss": 1.1465, + "step": 2769 + }, + { + "epoch": 0.69, + "learning_rate": 1.5375e-05, + "loss": 1.0117, + "step": 2770 + }, + { + "epoch": 0.69, + "learning_rate": 1.53625e-05, + "loss": 1.2881, + "step": 2771 + }, + { + "epoch": 0.69, + "learning_rate": 1.535e-05, + "loss": 1.1816, + "step": 2772 + }, + { + "epoch": 0.69, + "learning_rate": 1.5337500000000004e-05, + "loss": 1.2842, + "step": 2773 + }, + { + "epoch": 0.69, + "learning_rate": 1.5325e-05, + "loss": 0.9487, + "step": 2774 + }, + { + "epoch": 0.69, + "learning_rate": 1.5312500000000003e-05, + "loss": 1.1729, + "step": 2775 + }, + { + "epoch": 0.69, + "learning_rate": 1.53e-05, + "loss": 1.2793, + "step": 2776 + }, + { + "epoch": 0.69, + "learning_rate": 1.5287500000000002e-05, + "loss": 1.3584, + "step": 2777 + }, + { + "epoch": 0.69, + "learning_rate": 1.5275000000000002e-05, + "loss": 1.4229, + "step": 2778 + }, + { + "epoch": 0.69, + "learning_rate": 1.52625e-05, + "loss": 1.4521, + "step": 2779 + }, + { + "epoch": 0.69, + "learning_rate": 1.525e-05, + "loss": 1.3076, + "step": 2780 + }, + { + "epoch": 0.7, + "learning_rate": 1.5237500000000001e-05, + "loss": 1.0596, + "step": 2781 + }, + { + "epoch": 0.7, + "learning_rate": 1.5225e-05, + "loss": 1.2471, + "step": 2782 + }, + { + "epoch": 0.7, + "learning_rate": 1.5212500000000002e-05, + "loss": 1.2119, + "step": 2783 + }, + { + "epoch": 0.7, + "learning_rate": 1.52e-05, + "loss": 1.502, + "step": 2784 + }, + { + "epoch": 0.7, + "learning_rate": 1.5187500000000002e-05, + "loss": 1.2998, + "step": 2785 + }, + { + "epoch": 0.7, + "learning_rate": 1.5175e-05, + "loss": 1.0625, + "step": 2786 + }, + { + "epoch": 0.7, + "learning_rate": 1.5162500000000001e-05, + "loss": 1.2432, + "step": 2787 + }, + { + "epoch": 0.7, + "learning_rate": 1.515e-05, + "loss": 1.1807, + "step": 2788 + }, + { + "epoch": 0.7, + "learning_rate": 1.5137500000000002e-05, + "loss": 1.3545, + "step": 2789 + }, + { + "epoch": 0.7, + "learning_rate": 1.5125e-05, + "loss": 1.2734, + "step": 2790 + }, + { + "epoch": 0.7, + "learning_rate": 1.5112500000000001e-05, + "loss": 1.334, + "step": 2791 + }, + { + "epoch": 0.7, + "learning_rate": 1.51e-05, + "loss": 1.3066, + "step": 2792 + }, + { + "epoch": 0.7, + "learning_rate": 1.50875e-05, + "loss": 1.4473, + "step": 2793 + }, + { + "epoch": 0.7, + "learning_rate": 1.5075e-05, + "loss": 1.0371, + "step": 2794 + }, + { + "epoch": 0.7, + "learning_rate": 1.5062500000000002e-05, + "loss": 1.0957, + "step": 2795 + }, + { + "epoch": 0.7, + "learning_rate": 1.505e-05, + "loss": 1.1992, + "step": 2796 + }, + { + "epoch": 0.7, + "learning_rate": 1.5037500000000001e-05, + "loss": 1.4238, + "step": 2797 + }, + { + "epoch": 0.7, + "learning_rate": 1.5025000000000001e-05, + "loss": 1.3086, + "step": 2798 + }, + { + "epoch": 0.7, + "learning_rate": 1.5012500000000002e-05, + "loss": 1.3076, + "step": 2799 + }, + { + "epoch": 0.7, + "learning_rate": 1.5e-05, + "loss": 1.2314, + "step": 2800 + }, + { + "epoch": 0.7, + "learning_rate": 1.4987500000000002e-05, + "loss": 1.1211, + "step": 2801 + }, + { + "epoch": 0.7, + "learning_rate": 1.4975e-05, + "loss": 1.6826, + "step": 2802 + }, + { + "epoch": 0.7, + "learning_rate": 1.4962500000000001e-05, + "loss": 1.2773, + "step": 2803 + }, + { + "epoch": 0.7, + "learning_rate": 1.4950000000000001e-05, + "loss": 1.2451, + "step": 2804 + }, + { + "epoch": 0.7, + "learning_rate": 1.4937500000000002e-05, + "loss": 1.2715, + "step": 2805 + }, + { + "epoch": 0.7, + "learning_rate": 1.4925e-05, + "loss": 1.3184, + "step": 2806 + }, + { + "epoch": 0.7, + "learning_rate": 1.4912500000000002e-05, + "loss": 1.2305, + "step": 2807 + }, + { + "epoch": 0.7, + "learning_rate": 1.49e-05, + "loss": 1.2168, + "step": 2808 + }, + { + "epoch": 0.7, + "learning_rate": 1.4887500000000001e-05, + "loss": 1.0957, + "step": 2809 + }, + { + "epoch": 0.7, + "learning_rate": 1.4875e-05, + "loss": 1.2754, + "step": 2810 + }, + { + "epoch": 0.7, + "learning_rate": 1.4862500000000002e-05, + "loss": 1.0674, + "step": 2811 + }, + { + "epoch": 0.7, + "learning_rate": 1.485e-05, + "loss": 1.2754, + "step": 2812 + }, + { + "epoch": 0.7, + "learning_rate": 1.4837500000000002e-05, + "loss": 1.3535, + "step": 2813 + }, + { + "epoch": 0.7, + "learning_rate": 1.4825e-05, + "loss": 0.9873, + "step": 2814 + }, + { + "epoch": 0.7, + "learning_rate": 1.4812500000000001e-05, + "loss": 1.0244, + "step": 2815 + }, + { + "epoch": 0.7, + "learning_rate": 1.48e-05, + "loss": 1.2725, + "step": 2816 + }, + { + "epoch": 0.7, + "learning_rate": 1.4787500000000002e-05, + "loss": 1.1113, + "step": 2817 + }, + { + "epoch": 0.7, + "learning_rate": 1.4775e-05, + "loss": 1.4053, + "step": 2818 + }, + { + "epoch": 0.7, + "learning_rate": 1.4762500000000001e-05, + "loss": 1.3174, + "step": 2819 + }, + { + "epoch": 0.7, + "learning_rate": 1.475e-05, + "loss": 1.4434, + "step": 2820 + }, + { + "epoch": 0.71, + "learning_rate": 1.47375e-05, + "loss": 1.3037, + "step": 2821 + }, + { + "epoch": 0.71, + "learning_rate": 1.4725e-05, + "loss": 1.1309, + "step": 2822 + }, + { + "epoch": 0.71, + "learning_rate": 1.4712500000000002e-05, + "loss": 1.0859, + "step": 2823 + }, + { + "epoch": 0.71, + "learning_rate": 1.47e-05, + "loss": 0.9502, + "step": 2824 + }, + { + "epoch": 0.71, + "learning_rate": 1.4687500000000001e-05, + "loss": 1.1543, + "step": 2825 + }, + { + "epoch": 0.71, + "learning_rate": 1.4675e-05, + "loss": 1.0742, + "step": 2826 + }, + { + "epoch": 0.71, + "learning_rate": 1.46625e-05, + "loss": 1.2754, + "step": 2827 + }, + { + "epoch": 0.71, + "learning_rate": 1.465e-05, + "loss": 1.1123, + "step": 2828 + }, + { + "epoch": 0.71, + "learning_rate": 1.4637500000000002e-05, + "loss": 1.2461, + "step": 2829 + }, + { + "epoch": 0.71, + "learning_rate": 1.4625e-05, + "loss": 1.3008, + "step": 2830 + }, + { + "epoch": 0.71, + "learning_rate": 1.4612500000000001e-05, + "loss": 1.2861, + "step": 2831 + }, + { + "epoch": 0.71, + "learning_rate": 1.4599999999999999e-05, + "loss": 1.4375, + "step": 2832 + }, + { + "epoch": 0.71, + "learning_rate": 1.45875e-05, + "loss": 1.3359, + "step": 2833 + }, + { + "epoch": 0.71, + "learning_rate": 1.4575e-05, + "loss": 1.1191, + "step": 2834 + }, + { + "epoch": 0.71, + "learning_rate": 1.4562500000000002e-05, + "loss": 1.335, + "step": 2835 + }, + { + "epoch": 0.71, + "learning_rate": 1.455e-05, + "loss": 1.4248, + "step": 2836 + }, + { + "epoch": 0.71, + "learning_rate": 1.4537500000000001e-05, + "loss": 1.1533, + "step": 2837 + }, + { + "epoch": 0.71, + "learning_rate": 1.4524999999999999e-05, + "loss": 1.209, + "step": 2838 + }, + { + "epoch": 0.71, + "learning_rate": 1.45125e-05, + "loss": 1.4268, + "step": 2839 + }, + { + "epoch": 0.71, + "learning_rate": 1.45e-05, + "loss": 1.3564, + "step": 2840 + }, + { + "epoch": 0.71, + "learning_rate": 1.4487500000000001e-05, + "loss": 1.3574, + "step": 2841 + }, + { + "epoch": 0.71, + "learning_rate": 1.4475e-05, + "loss": 1.0664, + "step": 2842 + }, + { + "epoch": 0.71, + "learning_rate": 1.4462500000000001e-05, + "loss": 1.3867, + "step": 2843 + }, + { + "epoch": 0.71, + "learning_rate": 1.4449999999999999e-05, + "loss": 1.1904, + "step": 2844 + }, + { + "epoch": 0.71, + "learning_rate": 1.44375e-05, + "loss": 1.0234, + "step": 2845 + }, + { + "epoch": 0.71, + "learning_rate": 1.4425e-05, + "loss": 1.5762, + "step": 2846 + }, + { + "epoch": 0.71, + "learning_rate": 1.4412500000000001e-05, + "loss": 1.2568, + "step": 2847 + }, + { + "epoch": 0.71, + "learning_rate": 1.44e-05, + "loss": 1.4619, + "step": 2848 + }, + { + "epoch": 0.71, + "learning_rate": 1.43875e-05, + "loss": 1.3867, + "step": 2849 + }, + { + "epoch": 0.71, + "learning_rate": 1.4374999999999999e-05, + "loss": 1.1816, + "step": 2850 + }, + { + "epoch": 0.71, + "learning_rate": 1.43625e-05, + "loss": 1.3691, + "step": 2851 + }, + { + "epoch": 0.71, + "learning_rate": 1.435e-05, + "loss": 1.1885, + "step": 2852 + }, + { + "epoch": 0.71, + "learning_rate": 1.4337500000000001e-05, + "loss": 1.4307, + "step": 2853 + }, + { + "epoch": 0.71, + "learning_rate": 1.4325e-05, + "loss": 1.3037, + "step": 2854 + }, + { + "epoch": 0.71, + "learning_rate": 1.43125e-05, + "loss": 1.2783, + "step": 2855 + }, + { + "epoch": 0.71, + "learning_rate": 1.43e-05, + "loss": 0.9351, + "step": 2856 + }, + { + "epoch": 0.71, + "learning_rate": 1.4287500000000002e-05, + "loss": 1.3291, + "step": 2857 + }, + { + "epoch": 0.71, + "learning_rate": 1.4275e-05, + "loss": 1.0977, + "step": 2858 + }, + { + "epoch": 0.71, + "learning_rate": 1.4262500000000001e-05, + "loss": 1.3594, + "step": 2859 + }, + { + "epoch": 0.71, + "learning_rate": 1.4249999999999999e-05, + "loss": 1.334, + "step": 2860 + }, + { + "epoch": 0.72, + "learning_rate": 1.42375e-05, + "loss": 1.1484, + "step": 2861 + }, + { + "epoch": 0.72, + "learning_rate": 1.4225e-05, + "loss": 1.3486, + "step": 2862 + }, + { + "epoch": 0.72, + "learning_rate": 1.4212500000000002e-05, + "loss": 1.2783, + "step": 2863 + }, + { + "epoch": 0.72, + "learning_rate": 1.42e-05, + "loss": 1.4092, + "step": 2864 + }, + { + "epoch": 0.72, + "learning_rate": 1.4187500000000001e-05, + "loss": 1.2959, + "step": 2865 + }, + { + "epoch": 0.72, + "learning_rate": 1.4174999999999999e-05, + "loss": 1.2275, + "step": 2866 + }, + { + "epoch": 0.72, + "learning_rate": 1.41625e-05, + "loss": 1.1787, + "step": 2867 + }, + { + "epoch": 0.72, + "learning_rate": 1.415e-05, + "loss": 1.3604, + "step": 2868 + }, + { + "epoch": 0.72, + "learning_rate": 1.4137500000000001e-05, + "loss": 1.1328, + "step": 2869 + }, + { + "epoch": 0.72, + "learning_rate": 1.4125e-05, + "loss": 1.2197, + "step": 2870 + }, + { + "epoch": 0.72, + "learning_rate": 1.41125e-05, + "loss": 1.4736, + "step": 2871 + }, + { + "epoch": 0.72, + "learning_rate": 1.4099999999999999e-05, + "loss": 1.4248, + "step": 2872 + }, + { + "epoch": 0.72, + "learning_rate": 1.40875e-05, + "loss": 1.2012, + "step": 2873 + }, + { + "epoch": 0.72, + "learning_rate": 1.4075e-05, + "loss": 1.1211, + "step": 2874 + }, + { + "epoch": 0.72, + "learning_rate": 1.4062500000000001e-05, + "loss": 1.5928, + "step": 2875 + }, + { + "epoch": 0.72, + "learning_rate": 1.4050000000000003e-05, + "loss": 1.1934, + "step": 2876 + }, + { + "epoch": 0.72, + "learning_rate": 1.40375e-05, + "loss": 1.4346, + "step": 2877 + }, + { + "epoch": 0.72, + "learning_rate": 1.4025000000000002e-05, + "loss": 1.3877, + "step": 2878 + }, + { + "epoch": 0.72, + "learning_rate": 1.40125e-05, + "loss": 1.1631, + "step": 2879 + }, + { + "epoch": 0.72, + "learning_rate": 1.4000000000000001e-05, + "loss": 1.1191, + "step": 2880 + }, + { + "epoch": 0.72, + "learning_rate": 1.3987500000000001e-05, + "loss": 1.4521, + "step": 2881 + }, + { + "epoch": 0.72, + "learning_rate": 1.3975000000000003e-05, + "loss": 0.9575, + "step": 2882 + }, + { + "epoch": 0.72, + "learning_rate": 1.39625e-05, + "loss": 1.2373, + "step": 2883 + }, + { + "epoch": 0.72, + "learning_rate": 1.3950000000000002e-05, + "loss": 1.2881, + "step": 2884 + }, + { + "epoch": 0.72, + "learning_rate": 1.39375e-05, + "loss": 1.3037, + "step": 2885 + }, + { + "epoch": 0.72, + "learning_rate": 1.3925000000000001e-05, + "loss": 1.335, + "step": 2886 + }, + { + "epoch": 0.72, + "learning_rate": 1.3912500000000001e-05, + "loss": 1.0195, + "step": 2887 + }, + { + "epoch": 0.72, + "learning_rate": 1.3900000000000002e-05, + "loss": 1.2988, + "step": 2888 + }, + { + "epoch": 0.72, + "learning_rate": 1.38875e-05, + "loss": 1.3545, + "step": 2889 + }, + { + "epoch": 0.72, + "learning_rate": 1.3875000000000002e-05, + "loss": 1.3076, + "step": 2890 + }, + { + "epoch": 0.72, + "learning_rate": 1.38625e-05, + "loss": 1.0957, + "step": 2891 + }, + { + "epoch": 0.72, + "learning_rate": 1.3850000000000001e-05, + "loss": 1.293, + "step": 2892 + }, + { + "epoch": 0.72, + "learning_rate": 1.3837500000000001e-05, + "loss": 1.4844, + "step": 2893 + }, + { + "epoch": 0.72, + "learning_rate": 1.3825000000000002e-05, + "loss": 1.0361, + "step": 2894 + }, + { + "epoch": 0.72, + "learning_rate": 1.38125e-05, + "loss": 1.4082, + "step": 2895 + }, + { + "epoch": 0.72, + "learning_rate": 1.3800000000000002e-05, + "loss": 1.3018, + "step": 2896 + }, + { + "epoch": 0.72, + "learning_rate": 1.37875e-05, + "loss": 1.4678, + "step": 2897 + }, + { + "epoch": 0.72, + "learning_rate": 1.3775000000000001e-05, + "loss": 1.4092, + "step": 2898 + }, + { + "epoch": 0.72, + "learning_rate": 1.37625e-05, + "loss": 1.0898, + "step": 2899 + }, + { + "epoch": 0.72, + "learning_rate": 1.3750000000000002e-05, + "loss": 1.1992, + "step": 2900 + }, + { + "epoch": 0.73, + "learning_rate": 1.37375e-05, + "loss": 1.166, + "step": 2901 + }, + { + "epoch": 0.73, + "learning_rate": 1.3725000000000002e-05, + "loss": 1.2031, + "step": 2902 + }, + { + "epoch": 0.73, + "learning_rate": 1.37125e-05, + "loss": 1.2686, + "step": 2903 + }, + { + "epoch": 0.73, + "learning_rate": 1.3700000000000001e-05, + "loss": 1.5146, + "step": 2904 + }, + { + "epoch": 0.73, + "learning_rate": 1.36875e-05, + "loss": 1.2236, + "step": 2905 + }, + { + "epoch": 0.73, + "learning_rate": 1.3675000000000002e-05, + "loss": 1.1494, + "step": 2906 + }, + { + "epoch": 0.73, + "learning_rate": 1.36625e-05, + "loss": 1.0908, + "step": 2907 + }, + { + "epoch": 0.73, + "learning_rate": 1.3650000000000001e-05, + "loss": 1.1699, + "step": 2908 + }, + { + "epoch": 0.73, + "learning_rate": 1.36375e-05, + "loss": 1.083, + "step": 2909 + }, + { + "epoch": 0.73, + "learning_rate": 1.3625e-05, + "loss": 1.3184, + "step": 2910 + }, + { + "epoch": 0.73, + "learning_rate": 1.36125e-05, + "loss": 1.2969, + "step": 2911 + }, + { + "epoch": 0.73, + "learning_rate": 1.3600000000000002e-05, + "loss": 1.2344, + "step": 2912 + }, + { + "epoch": 0.73, + "learning_rate": 1.35875e-05, + "loss": 1.1885, + "step": 2913 + }, + { + "epoch": 0.73, + "learning_rate": 1.3575000000000001e-05, + "loss": 1.3047, + "step": 2914 + }, + { + "epoch": 0.73, + "learning_rate": 1.3562500000000001e-05, + "loss": 1.2539, + "step": 2915 + }, + { + "epoch": 0.73, + "learning_rate": 1.3550000000000002e-05, + "loss": 1.1641, + "step": 2916 + }, + { + "epoch": 0.73, + "learning_rate": 1.35375e-05, + "loss": 1.2568, + "step": 2917 + }, + { + "epoch": 0.73, + "learning_rate": 1.3525000000000002e-05, + "loss": 1.5527, + "step": 2918 + }, + { + "epoch": 0.73, + "learning_rate": 1.35125e-05, + "loss": 1.2129, + "step": 2919 + }, + { + "epoch": 0.73, + "learning_rate": 1.3500000000000001e-05, + "loss": 1.4844, + "step": 2920 + }, + { + "epoch": 0.73, + "learning_rate": 1.3487500000000001e-05, + "loss": 1.2236, + "step": 2921 + }, + { + "epoch": 0.73, + "learning_rate": 1.3475000000000002e-05, + "loss": 1.4092, + "step": 2922 + }, + { + "epoch": 0.73, + "learning_rate": 1.34625e-05, + "loss": 1.6309, + "step": 2923 + }, + { + "epoch": 0.73, + "learning_rate": 1.3450000000000002e-05, + "loss": 1.582, + "step": 2924 + }, + { + "epoch": 0.73, + "learning_rate": 1.34375e-05, + "loss": 1.3311, + "step": 2925 + }, + { + "epoch": 0.73, + "learning_rate": 1.3425000000000001e-05, + "loss": 1.1973, + "step": 2926 + }, + { + "epoch": 0.73, + "learning_rate": 1.34125e-05, + "loss": 1.2852, + "step": 2927 + }, + { + "epoch": 0.73, + "learning_rate": 1.3400000000000002e-05, + "loss": 1.1094, + "step": 2928 + }, + { + "epoch": 0.73, + "learning_rate": 1.33875e-05, + "loss": 1.377, + "step": 2929 + }, + { + "epoch": 0.73, + "learning_rate": 1.3375000000000002e-05, + "loss": 1.2441, + "step": 2930 + }, + { + "epoch": 0.73, + "learning_rate": 1.33625e-05, + "loss": 1.2451, + "step": 2931 + }, + { + "epoch": 0.73, + "learning_rate": 1.3350000000000001e-05, + "loss": 1.3799, + "step": 2932 + }, + { + "epoch": 0.73, + "learning_rate": 1.33375e-05, + "loss": 1.1758, + "step": 2933 + }, + { + "epoch": 0.73, + "learning_rate": 1.3325000000000002e-05, + "loss": 1.2666, + "step": 2934 + }, + { + "epoch": 0.73, + "learning_rate": 1.33125e-05, + "loss": 1.2168, + "step": 2935 + }, + { + "epoch": 0.73, + "learning_rate": 1.3300000000000001e-05, + "loss": 1.1885, + "step": 2936 + }, + { + "epoch": 0.73, + "learning_rate": 1.32875e-05, + "loss": 1.4004, + "step": 2937 + }, + { + "epoch": 0.73, + "learning_rate": 1.3275e-05, + "loss": 1.3477, + "step": 2938 + }, + { + "epoch": 0.73, + "learning_rate": 1.32625e-05, + "loss": 1.2021, + "step": 2939 + }, + { + "epoch": 0.73, + "learning_rate": 1.3250000000000002e-05, + "loss": 1.1299, + "step": 2940 + }, + { + "epoch": 0.74, + "learning_rate": 1.32375e-05, + "loss": 1.4961, + "step": 2941 + }, + { + "epoch": 0.74, + "learning_rate": 1.3225000000000001e-05, + "loss": 1.2734, + "step": 2942 + }, + { + "epoch": 0.74, + "learning_rate": 1.32125e-05, + "loss": 1.1074, + "step": 2943 + }, + { + "epoch": 0.74, + "learning_rate": 1.32e-05, + "loss": 1.2861, + "step": 2944 + }, + { + "epoch": 0.74, + "learning_rate": 1.31875e-05, + "loss": 1.0645, + "step": 2945 + }, + { + "epoch": 0.74, + "learning_rate": 1.3175000000000002e-05, + "loss": 1.2305, + "step": 2946 + }, + { + "epoch": 0.74, + "learning_rate": 1.31625e-05, + "loss": 1.2969, + "step": 2947 + }, + { + "epoch": 0.74, + "learning_rate": 1.3150000000000001e-05, + "loss": 1.2539, + "step": 2948 + }, + { + "epoch": 0.74, + "learning_rate": 1.31375e-05, + "loss": 1.2637, + "step": 2949 + }, + { + "epoch": 0.74, + "learning_rate": 1.3125e-05, + "loss": 1.5391, + "step": 2950 + }, + { + "epoch": 0.74, + "learning_rate": 1.31125e-05, + "loss": 1.5381, + "step": 2951 + }, + { + "epoch": 0.74, + "learning_rate": 1.3100000000000002e-05, + "loss": 1.165, + "step": 2952 + }, + { + "epoch": 0.74, + "learning_rate": 1.30875e-05, + "loss": 1.3955, + "step": 2953 + }, + { + "epoch": 0.74, + "learning_rate": 1.3075000000000001e-05, + "loss": 1.2246, + "step": 2954 + }, + { + "epoch": 0.74, + "learning_rate": 1.3062499999999999e-05, + "loss": 1.5342, + "step": 2955 + }, + { + "epoch": 0.74, + "learning_rate": 1.305e-05, + "loss": 0.9648, + "step": 2956 + }, + { + "epoch": 0.74, + "learning_rate": 1.30375e-05, + "loss": 1.3525, + "step": 2957 + }, + { + "epoch": 0.74, + "learning_rate": 1.3025000000000002e-05, + "loss": 1.2207, + "step": 2958 + }, + { + "epoch": 0.74, + "learning_rate": 1.30125e-05, + "loss": 1.2715, + "step": 2959 + }, + { + "epoch": 0.74, + "learning_rate": 1.3000000000000001e-05, + "loss": 1.4844, + "step": 2960 + }, + { + "epoch": 0.74, + "learning_rate": 1.2987499999999999e-05, + "loss": 1.3125, + "step": 2961 + }, + { + "epoch": 0.74, + "learning_rate": 1.2975e-05, + "loss": 1.6523, + "step": 2962 + }, + { + "epoch": 0.74, + "learning_rate": 1.29625e-05, + "loss": 1.1211, + "step": 2963 + }, + { + "epoch": 0.74, + "learning_rate": 1.2950000000000001e-05, + "loss": 1.2129, + "step": 2964 + }, + { + "epoch": 0.74, + "learning_rate": 1.29375e-05, + "loss": 1.0605, + "step": 2965 + }, + { + "epoch": 0.74, + "learning_rate": 1.2925e-05, + "loss": 1.5625, + "step": 2966 + }, + { + "epoch": 0.74, + "learning_rate": 1.2912499999999999e-05, + "loss": 1.3389, + "step": 2967 + }, + { + "epoch": 0.74, + "learning_rate": 1.29e-05, + "loss": 1.3789, + "step": 2968 + }, + { + "epoch": 0.74, + "learning_rate": 1.28875e-05, + "loss": 1.5391, + "step": 2969 + }, + { + "epoch": 0.74, + "learning_rate": 1.2875000000000001e-05, + "loss": 1.4902, + "step": 2970 + }, + { + "epoch": 0.74, + "learning_rate": 1.28625e-05, + "loss": 1.5723, + "step": 2971 + }, + { + "epoch": 0.74, + "learning_rate": 1.285e-05, + "loss": 1.373, + "step": 2972 + }, + { + "epoch": 0.74, + "learning_rate": 1.28375e-05, + "loss": 1.1855, + "step": 2973 + }, + { + "epoch": 0.74, + "learning_rate": 1.2825000000000002e-05, + "loss": 1.3643, + "step": 2974 + }, + { + "epoch": 0.74, + "learning_rate": 1.28125e-05, + "loss": 1.2246, + "step": 2975 + }, + { + "epoch": 0.74, + "learning_rate": 1.2800000000000001e-05, + "loss": 1.2656, + "step": 2976 + }, + { + "epoch": 0.74, + "learning_rate": 1.2787499999999999e-05, + "loss": 1.4385, + "step": 2977 + }, + { + "epoch": 0.74, + "learning_rate": 1.2775e-05, + "loss": 1.0742, + "step": 2978 + }, + { + "epoch": 0.74, + "learning_rate": 1.27625e-05, + "loss": 1.3799, + "step": 2979 + }, + { + "epoch": 0.74, + "learning_rate": 1.2750000000000002e-05, + "loss": 1.3887, + "step": 2980 + }, + { + "epoch": 0.75, + "learning_rate": 1.27375e-05, + "loss": 1.1602, + "step": 2981 + }, + { + "epoch": 0.75, + "learning_rate": 1.2725000000000001e-05, + "loss": 1.2559, + "step": 2982 + }, + { + "epoch": 0.75, + "learning_rate": 1.2712499999999999e-05, + "loss": 1.3125, + "step": 2983 + }, + { + "epoch": 0.75, + "learning_rate": 1.27e-05, + "loss": 1.1641, + "step": 2984 + }, + { + "epoch": 0.75, + "learning_rate": 1.26875e-05, + "loss": 1.1182, + "step": 2985 + }, + { + "epoch": 0.75, + "learning_rate": 1.2675000000000001e-05, + "loss": 1.2002, + "step": 2986 + }, + { + "epoch": 0.75, + "learning_rate": 1.26625e-05, + "loss": 1.1748, + "step": 2987 + }, + { + "epoch": 0.75, + "learning_rate": 1.2650000000000001e-05, + "loss": 1.1445, + "step": 2988 + }, + { + "epoch": 0.75, + "learning_rate": 1.2637499999999999e-05, + "loss": 1.1299, + "step": 2989 + }, + { + "epoch": 0.75, + "learning_rate": 1.2625e-05, + "loss": 1.5352, + "step": 2990 + }, + { + "epoch": 0.75, + "learning_rate": 1.26125e-05, + "loss": 1.373, + "step": 2991 + }, + { + "epoch": 0.75, + "learning_rate": 1.2600000000000001e-05, + "loss": 1.2217, + "step": 2992 + }, + { + "epoch": 0.75, + "learning_rate": 1.25875e-05, + "loss": 1.1807, + "step": 2993 + }, + { + "epoch": 0.75, + "learning_rate": 1.2575e-05, + "loss": 1.3643, + "step": 2994 + }, + { + "epoch": 0.75, + "learning_rate": 1.2562499999999999e-05, + "loss": 1.1348, + "step": 2995 + }, + { + "epoch": 0.75, + "learning_rate": 1.255e-05, + "loss": 1.4756, + "step": 2996 + }, + { + "epoch": 0.75, + "learning_rate": 1.25375e-05, + "loss": 1.1143, + "step": 2997 + }, + { + "epoch": 0.75, + "learning_rate": 1.2525000000000001e-05, + "loss": 0.9243, + "step": 2998 + }, + { + "epoch": 0.75, + "learning_rate": 1.25125e-05, + "loss": 1.1064, + "step": 2999 + }, + { + "epoch": 0.75, + "learning_rate": 1.25e-05, + "loss": 1.3105, + "step": 3000 + }, + { + "epoch": 0.75, + "learning_rate": 1.24875e-05, + "loss": 1.3359, + "step": 3001 + }, + { + "epoch": 0.75, + "learning_rate": 1.2475e-05, + "loss": 1.3711, + "step": 3002 + }, + { + "epoch": 0.75, + "learning_rate": 1.2462500000000001e-05, + "loss": 1.1846, + "step": 3003 + }, + { + "epoch": 0.75, + "learning_rate": 1.2450000000000001e-05, + "loss": 1.292, + "step": 3004 + }, + { + "epoch": 0.75, + "learning_rate": 1.24375e-05, + "loss": 1.3047, + "step": 3005 + }, + { + "epoch": 0.75, + "learning_rate": 1.2425e-05, + "loss": 1.1865, + "step": 3006 + }, + { + "epoch": 0.75, + "learning_rate": 1.24125e-05, + "loss": 1.3604, + "step": 3007 + }, + { + "epoch": 0.75, + "learning_rate": 1.24e-05, + "loss": 1.2373, + "step": 3008 + }, + { + "epoch": 0.75, + "learning_rate": 1.2387500000000001e-05, + "loss": 1.0596, + "step": 3009 + }, + { + "epoch": 0.75, + "learning_rate": 1.2375000000000001e-05, + "loss": 1.2529, + "step": 3010 + }, + { + "epoch": 0.75, + "learning_rate": 1.23625e-05, + "loss": 1.4561, + "step": 3011 + }, + { + "epoch": 0.75, + "learning_rate": 1.235e-05, + "loss": 1.3691, + "step": 3012 + }, + { + "epoch": 0.75, + "learning_rate": 1.23375e-05, + "loss": 1.1533, + "step": 3013 + }, + { + "epoch": 0.75, + "learning_rate": 1.2325e-05, + "loss": 1.3545, + "step": 3014 + }, + { + "epoch": 0.75, + "learning_rate": 1.2312500000000001e-05, + "loss": 1.1777, + "step": 3015 + }, + { + "epoch": 0.75, + "learning_rate": 1.23e-05, + "loss": 1.1123, + "step": 3016 + }, + { + "epoch": 0.75, + "learning_rate": 1.22875e-05, + "loss": 1.3955, + "step": 3017 + }, + { + "epoch": 0.75, + "learning_rate": 1.2275e-05, + "loss": 1.3418, + "step": 3018 + }, + { + "epoch": 0.75, + "learning_rate": 1.22625e-05, + "loss": 1.25, + "step": 3019 + }, + { + "epoch": 0.76, + "learning_rate": 1.225e-05, + "loss": 1.293, + "step": 3020 + }, + { + "epoch": 0.76, + "learning_rate": 1.2237500000000001e-05, + "loss": 1.1816, + "step": 3021 + }, + { + "epoch": 0.76, + "learning_rate": 1.2225e-05, + "loss": 1.1816, + "step": 3022 + }, + { + "epoch": 0.76, + "learning_rate": 1.22125e-05, + "loss": 1.083, + "step": 3023 + }, + { + "epoch": 0.76, + "learning_rate": 1.22e-05, + "loss": 0.9658, + "step": 3024 + }, + { + "epoch": 0.76, + "learning_rate": 1.21875e-05, + "loss": 1.2246, + "step": 3025 + }, + { + "epoch": 0.76, + "learning_rate": 1.2175e-05, + "loss": 1.0996, + "step": 3026 + }, + { + "epoch": 0.76, + "learning_rate": 1.2162500000000001e-05, + "loss": 1.3232, + "step": 3027 + }, + { + "epoch": 0.76, + "learning_rate": 1.215e-05, + "loss": 1.0898, + "step": 3028 + }, + { + "epoch": 0.76, + "learning_rate": 1.21375e-05, + "loss": 1.4414, + "step": 3029 + }, + { + "epoch": 0.76, + "learning_rate": 1.2125e-05, + "loss": 1.4961, + "step": 3030 + }, + { + "epoch": 0.76, + "learning_rate": 1.21125e-05, + "loss": 1.3242, + "step": 3031 + }, + { + "epoch": 0.76, + "learning_rate": 1.2100000000000001e-05, + "loss": 1.1396, + "step": 3032 + }, + { + "epoch": 0.76, + "learning_rate": 1.20875e-05, + "loss": 1.2441, + "step": 3033 + }, + { + "epoch": 0.76, + "learning_rate": 1.2075e-05, + "loss": 1.2783, + "step": 3034 + }, + { + "epoch": 0.76, + "learning_rate": 1.20625e-05, + "loss": 1.3125, + "step": 3035 + }, + { + "epoch": 0.76, + "learning_rate": 1.205e-05, + "loss": 1.1113, + "step": 3036 + }, + { + "epoch": 0.76, + "learning_rate": 1.20375e-05, + "loss": 1.3066, + "step": 3037 + }, + { + "epoch": 0.76, + "learning_rate": 1.2025000000000001e-05, + "loss": 1.376, + "step": 3038 + }, + { + "epoch": 0.76, + "learning_rate": 1.20125e-05, + "loss": 1.1748, + "step": 3039 + }, + { + "epoch": 0.76, + "learning_rate": 1.2e-05, + "loss": 1.3252, + "step": 3040 + }, + { + "epoch": 0.76, + "learning_rate": 1.19875e-05, + "loss": 1.1064, + "step": 3041 + }, + { + "epoch": 0.76, + "learning_rate": 1.1975e-05, + "loss": 1.1836, + "step": 3042 + }, + { + "epoch": 0.76, + "learning_rate": 1.19625e-05, + "loss": 1.1758, + "step": 3043 + }, + { + "epoch": 0.76, + "learning_rate": 1.195e-05, + "loss": 1.625, + "step": 3044 + }, + { + "epoch": 0.76, + "learning_rate": 1.19375e-05, + "loss": 1.2383, + "step": 3045 + }, + { + "epoch": 0.76, + "learning_rate": 1.1925e-05, + "loss": 1.4824, + "step": 3046 + }, + { + "epoch": 0.76, + "learning_rate": 1.19125e-05, + "loss": 1.2002, + "step": 3047 + }, + { + "epoch": 0.76, + "learning_rate": 1.19e-05, + "loss": 1.4395, + "step": 3048 + }, + { + "epoch": 0.76, + "learning_rate": 1.18875e-05, + "loss": 1.4551, + "step": 3049 + }, + { + "epoch": 0.76, + "learning_rate": 1.1875e-05, + "loss": 1.1514, + "step": 3050 + }, + { + "epoch": 0.76, + "learning_rate": 1.18625e-05, + "loss": 1.4785, + "step": 3051 + }, + { + "epoch": 0.76, + "learning_rate": 1.185e-05, + "loss": 1.7188, + "step": 3052 + }, + { + "epoch": 0.76, + "learning_rate": 1.18375e-05, + "loss": 1.3457, + "step": 3053 + }, + { + "epoch": 0.76, + "learning_rate": 1.1825e-05, + "loss": 1.2637, + "step": 3054 + }, + { + "epoch": 0.76, + "learning_rate": 1.1812499999999999e-05, + "loss": 1.1494, + "step": 3055 + }, + { + "epoch": 0.76, + "learning_rate": 1.18e-05, + "loss": 1.2168, + "step": 3056 + }, + { + "epoch": 0.76, + "learning_rate": 1.17875e-05, + "loss": 1.252, + "step": 3057 + }, + { + "epoch": 0.76, + "learning_rate": 1.1775e-05, + "loss": 1.1689, + "step": 3058 + }, + { + "epoch": 0.76, + "learning_rate": 1.17625e-05, + "loss": 1.1201, + "step": 3059 + }, + { + "epoch": 0.77, + "learning_rate": 1.175e-05, + "loss": 1.4229, + "step": 3060 + }, + { + "epoch": 0.77, + "learning_rate": 1.17375e-05, + "loss": 1.4268, + "step": 3061 + }, + { + "epoch": 0.77, + "learning_rate": 1.1725e-05, + "loss": 1.1885, + "step": 3062 + }, + { + "epoch": 0.77, + "learning_rate": 1.1712500000000002e-05, + "loss": 1.2168, + "step": 3063 + }, + { + "epoch": 0.77, + "learning_rate": 1.1700000000000001e-05, + "loss": 1.2627, + "step": 3064 + }, + { + "epoch": 0.77, + "learning_rate": 1.1687500000000001e-05, + "loss": 1.1553, + "step": 3065 + }, + { + "epoch": 0.77, + "learning_rate": 1.1675000000000001e-05, + "loss": 1.2129, + "step": 3066 + }, + { + "epoch": 0.77, + "learning_rate": 1.16625e-05, + "loss": 1.1436, + "step": 3067 + }, + { + "epoch": 0.77, + "learning_rate": 1.1650000000000002e-05, + "loss": 1.2266, + "step": 3068 + }, + { + "epoch": 0.77, + "learning_rate": 1.1637500000000002e-05, + "loss": 1.3232, + "step": 3069 + }, + { + "epoch": 0.77, + "learning_rate": 1.1625000000000001e-05, + "loss": 1.3135, + "step": 3070 + }, + { + "epoch": 0.77, + "learning_rate": 1.1612500000000001e-05, + "loss": 1.0869, + "step": 3071 + }, + { + "epoch": 0.77, + "learning_rate": 1.16e-05, + "loss": 1.2812, + "step": 3072 + }, + { + "epoch": 0.77, + "learning_rate": 1.15875e-05, + "loss": 1.4961, + "step": 3073 + }, + { + "epoch": 0.77, + "learning_rate": 1.1575000000000002e-05, + "loss": 1.3271, + "step": 3074 + }, + { + "epoch": 0.77, + "learning_rate": 1.1562500000000002e-05, + "loss": 1.1328, + "step": 3075 + }, + { + "epoch": 0.77, + "learning_rate": 1.1550000000000001e-05, + "loss": 1.2188, + "step": 3076 + }, + { + "epoch": 0.77, + "learning_rate": 1.1537500000000001e-05, + "loss": 1.2949, + "step": 3077 + }, + { + "epoch": 0.77, + "learning_rate": 1.1525e-05, + "loss": 1.4902, + "step": 3078 + }, + { + "epoch": 0.77, + "learning_rate": 1.15125e-05, + "loss": 1.3203, + "step": 3079 + }, + { + "epoch": 0.77, + "learning_rate": 1.1500000000000002e-05, + "loss": 1.2803, + "step": 3080 + }, + { + "epoch": 0.77, + "learning_rate": 1.1487500000000001e-05, + "loss": 1.2852, + "step": 3081 + }, + { + "epoch": 0.77, + "learning_rate": 1.1475000000000001e-05, + "loss": 1.6074, + "step": 3082 + }, + { + "epoch": 0.77, + "learning_rate": 1.14625e-05, + "loss": 1.084, + "step": 3083 + }, + { + "epoch": 0.77, + "learning_rate": 1.145e-05, + "loss": 1.3271, + "step": 3084 + }, + { + "epoch": 0.77, + "learning_rate": 1.14375e-05, + "loss": 1.2129, + "step": 3085 + }, + { + "epoch": 0.77, + "learning_rate": 1.1425000000000002e-05, + "loss": 1.0869, + "step": 3086 + }, + { + "epoch": 0.77, + "learning_rate": 1.1412500000000001e-05, + "loss": 1.2021, + "step": 3087 + }, + { + "epoch": 0.77, + "learning_rate": 1.1400000000000001e-05, + "loss": 1.3311, + "step": 3088 + }, + { + "epoch": 0.77, + "learning_rate": 1.13875e-05, + "loss": 1.2832, + "step": 3089 + }, + { + "epoch": 0.77, + "learning_rate": 1.1375e-05, + "loss": 1.2666, + "step": 3090 + }, + { + "epoch": 0.77, + "learning_rate": 1.1362500000000002e-05, + "loss": 1.291, + "step": 3091 + }, + { + "epoch": 0.77, + "learning_rate": 1.1350000000000001e-05, + "loss": 1.0791, + "step": 3092 + }, + { + "epoch": 0.77, + "learning_rate": 1.1337500000000001e-05, + "loss": 1.2031, + "step": 3093 + }, + { + "epoch": 0.77, + "learning_rate": 1.1325e-05, + "loss": 1.4844, + "step": 3094 + }, + { + "epoch": 0.77, + "learning_rate": 1.13125e-05, + "loss": 1.1797, + "step": 3095 + }, + { + "epoch": 0.77, + "learning_rate": 1.13e-05, + "loss": 1.3389, + "step": 3096 + }, + { + "epoch": 0.77, + "learning_rate": 1.1287500000000002e-05, + "loss": 1.1006, + "step": 3097 + }, + { + "epoch": 0.77, + "learning_rate": 1.1275000000000001e-05, + "loss": 1.3984, + "step": 3098 + }, + { + "epoch": 0.77, + "learning_rate": 1.1262500000000001e-05, + "loss": 1.1475, + "step": 3099 + }, + { + "epoch": 0.78, + "learning_rate": 1.125e-05, + "loss": 1.2031, + "step": 3100 + }, + { + "epoch": 0.78, + "learning_rate": 1.12375e-05, + "loss": 1.1328, + "step": 3101 + }, + { + "epoch": 0.78, + "learning_rate": 1.1225e-05, + "loss": 1.3311, + "step": 3102 + }, + { + "epoch": 0.78, + "learning_rate": 1.1212500000000001e-05, + "loss": 1.3477, + "step": 3103 + }, + { + "epoch": 0.78, + "learning_rate": 1.1200000000000001e-05, + "loss": 1.2695, + "step": 3104 + }, + { + "epoch": 0.78, + "learning_rate": 1.1187500000000001e-05, + "loss": 1.0879, + "step": 3105 + }, + { + "epoch": 0.78, + "learning_rate": 1.1175e-05, + "loss": 1.1084, + "step": 3106 + }, + { + "epoch": 0.78, + "learning_rate": 1.11625e-05, + "loss": 1.1885, + "step": 3107 + }, + { + "epoch": 0.78, + "learning_rate": 1.115e-05, + "loss": 1.2988, + "step": 3108 + }, + { + "epoch": 0.78, + "learning_rate": 1.1137500000000001e-05, + "loss": 1.1533, + "step": 3109 + }, + { + "epoch": 0.78, + "learning_rate": 1.1125000000000001e-05, + "loss": 1.5928, + "step": 3110 + }, + { + "epoch": 0.78, + "learning_rate": 1.11125e-05, + "loss": 1.3613, + "step": 3111 + }, + { + "epoch": 0.78, + "learning_rate": 1.11e-05, + "loss": 1.21, + "step": 3112 + }, + { + "epoch": 0.78, + "learning_rate": 1.10875e-05, + "loss": 1.1533, + "step": 3113 + }, + { + "epoch": 0.78, + "learning_rate": 1.1075e-05, + "loss": 1.4014, + "step": 3114 + }, + { + "epoch": 0.78, + "learning_rate": 1.1062500000000001e-05, + "loss": 1.1924, + "step": 3115 + }, + { + "epoch": 0.78, + "learning_rate": 1.1050000000000001e-05, + "loss": 1.0977, + "step": 3116 + }, + { + "epoch": 0.78, + "learning_rate": 1.10375e-05, + "loss": 1.0918, + "step": 3117 + }, + { + "epoch": 0.78, + "learning_rate": 1.1025e-05, + "loss": 1.1309, + "step": 3118 + }, + { + "epoch": 0.78, + "learning_rate": 1.10125e-05, + "loss": 1.3047, + "step": 3119 + }, + { + "epoch": 0.78, + "learning_rate": 1.1000000000000001e-05, + "loss": 1.2969, + "step": 3120 + }, + { + "epoch": 0.78, + "learning_rate": 1.0987500000000001e-05, + "loss": 1.2236, + "step": 3121 + }, + { + "epoch": 0.78, + "learning_rate": 1.0975e-05, + "loss": 1.457, + "step": 3122 + }, + { + "epoch": 0.78, + "learning_rate": 1.09625e-05, + "loss": 1.0762, + "step": 3123 + }, + { + "epoch": 0.78, + "learning_rate": 1.095e-05, + "loss": 1.3574, + "step": 3124 + }, + { + "epoch": 0.78, + "learning_rate": 1.09375e-05, + "loss": 1.2129, + "step": 3125 + }, + { + "epoch": 0.78, + "learning_rate": 1.0925000000000001e-05, + "loss": 1.2676, + "step": 3126 + }, + { + "epoch": 0.78, + "learning_rate": 1.0912500000000001e-05, + "loss": 1.334, + "step": 3127 + }, + { + "epoch": 0.78, + "learning_rate": 1.09e-05, + "loss": 1.3135, + "step": 3128 + }, + { + "epoch": 0.78, + "learning_rate": 1.08875e-05, + "loss": 0.9771, + "step": 3129 + }, + { + "epoch": 0.78, + "learning_rate": 1.0875e-05, + "loss": 1.4482, + "step": 3130 + }, + { + "epoch": 0.78, + "learning_rate": 1.08625e-05, + "loss": 1.4971, + "step": 3131 + }, + { + "epoch": 0.78, + "learning_rate": 1.0850000000000001e-05, + "loss": 1.3037, + "step": 3132 + }, + { + "epoch": 0.78, + "learning_rate": 1.08375e-05, + "loss": 1.2236, + "step": 3133 + }, + { + "epoch": 0.78, + "learning_rate": 1.0825e-05, + "loss": 1.4941, + "step": 3134 + }, + { + "epoch": 0.78, + "learning_rate": 1.08125e-05, + "loss": 1.0752, + "step": 3135 + }, + { + "epoch": 0.78, + "learning_rate": 1.08e-05, + "loss": 1.5146, + "step": 3136 + }, + { + "epoch": 0.78, + "learning_rate": 1.07875e-05, + "loss": 1.166, + "step": 3137 + }, + { + "epoch": 0.78, + "learning_rate": 1.0775000000000001e-05, + "loss": 1.1904, + "step": 3138 + }, + { + "epoch": 0.78, + "learning_rate": 1.07625e-05, + "loss": 1.4277, + "step": 3139 + }, + { + "epoch": 0.79, + "learning_rate": 1.075e-05, + "loss": 1.416, + "step": 3140 + }, + { + "epoch": 0.79, + "learning_rate": 1.07375e-05, + "loss": 1.2393, + "step": 3141 + }, + { + "epoch": 0.79, + "learning_rate": 1.0725e-05, + "loss": 1.1748, + "step": 3142 + }, + { + "epoch": 0.79, + "learning_rate": 1.07125e-05, + "loss": 1.0801, + "step": 3143 + }, + { + "epoch": 0.79, + "learning_rate": 1.0700000000000001e-05, + "loss": 1.1748, + "step": 3144 + }, + { + "epoch": 0.79, + "learning_rate": 1.06875e-05, + "loss": 1.2607, + "step": 3145 + }, + { + "epoch": 0.79, + "learning_rate": 1.0675e-05, + "loss": 1.2236, + "step": 3146 + }, + { + "epoch": 0.79, + "learning_rate": 1.06625e-05, + "loss": 1.1641, + "step": 3147 + }, + { + "epoch": 0.79, + "learning_rate": 1.065e-05, + "loss": 1.1777, + "step": 3148 + }, + { + "epoch": 0.79, + "learning_rate": 1.0637500000000001e-05, + "loss": 1.1348, + "step": 3149 + }, + { + "epoch": 0.79, + "learning_rate": 1.0625e-05, + "loss": 1.2959, + "step": 3150 + }, + { + "epoch": 0.79, + "learning_rate": 1.06125e-05, + "loss": 1.1777, + "step": 3151 + }, + { + "epoch": 0.79, + "learning_rate": 1.06e-05, + "loss": 1.5029, + "step": 3152 + }, + { + "epoch": 0.79, + "learning_rate": 1.05875e-05, + "loss": 1.4004, + "step": 3153 + }, + { + "epoch": 0.79, + "learning_rate": 1.0575e-05, + "loss": 1.2061, + "step": 3154 + }, + { + "epoch": 0.79, + "learning_rate": 1.0562500000000001e-05, + "loss": 1.4463, + "step": 3155 + }, + { + "epoch": 0.79, + "learning_rate": 1.055e-05, + "loss": 1.1367, + "step": 3156 + }, + { + "epoch": 0.79, + "learning_rate": 1.05375e-05, + "loss": 1.3828, + "step": 3157 + }, + { + "epoch": 0.79, + "learning_rate": 1.0525e-05, + "loss": 1.2705, + "step": 3158 + }, + { + "epoch": 0.79, + "learning_rate": 1.05125e-05, + "loss": 1.2812, + "step": 3159 + }, + { + "epoch": 0.79, + "learning_rate": 1.05e-05, + "loss": 1.2744, + "step": 3160 + }, + { + "epoch": 0.79, + "learning_rate": 1.04875e-05, + "loss": 1.2822, + "step": 3161 + }, + { + "epoch": 0.79, + "learning_rate": 1.0475e-05, + "loss": 1.3506, + "step": 3162 + }, + { + "epoch": 0.79, + "learning_rate": 1.04625e-05, + "loss": 1.1641, + "step": 3163 + }, + { + "epoch": 0.79, + "learning_rate": 1.045e-05, + "loss": 1.4688, + "step": 3164 + }, + { + "epoch": 0.79, + "learning_rate": 1.04375e-05, + "loss": 1.1973, + "step": 3165 + }, + { + "epoch": 0.79, + "learning_rate": 1.0425e-05, + "loss": 1.3135, + "step": 3166 + }, + { + "epoch": 0.79, + "learning_rate": 1.04125e-05, + "loss": 1.4414, + "step": 3167 + }, + { + "epoch": 0.79, + "learning_rate": 1.04e-05, + "loss": 1.3506, + "step": 3168 + }, + { + "epoch": 0.79, + "learning_rate": 1.03875e-05, + "loss": 1.2822, + "step": 3169 + }, + { + "epoch": 0.79, + "learning_rate": 1.0375e-05, + "loss": 0.9712, + "step": 3170 + }, + { + "epoch": 0.79, + "learning_rate": 1.03625e-05, + "loss": 1.3096, + "step": 3171 + }, + { + "epoch": 0.79, + "learning_rate": 1.035e-05, + "loss": 1.1367, + "step": 3172 + }, + { + "epoch": 0.79, + "learning_rate": 1.03375e-05, + "loss": 1.4941, + "step": 3173 + }, + { + "epoch": 0.79, + "learning_rate": 1.0325e-05, + "loss": 1.2461, + "step": 3174 + }, + { + "epoch": 0.79, + "learning_rate": 1.03125e-05, + "loss": 1.1084, + "step": 3175 + }, + { + "epoch": 0.79, + "learning_rate": 1.03e-05, + "loss": 1.168, + "step": 3176 + }, + { + "epoch": 0.79, + "learning_rate": 1.02875e-05, + "loss": 1.123, + "step": 3177 + }, + { + "epoch": 0.79, + "learning_rate": 1.0275e-05, + "loss": 0.9756, + "step": 3178 + }, + { + "epoch": 0.79, + "learning_rate": 1.02625e-05, + "loss": 0.9487, + "step": 3179 + }, + { + "epoch": 0.8, + "learning_rate": 1.025e-05, + "loss": 1.3984, + "step": 3180 + }, + { + "epoch": 0.8, + "learning_rate": 1.02375e-05, + "loss": 1.3936, + "step": 3181 + }, + { + "epoch": 0.8, + "learning_rate": 1.0225e-05, + "loss": 1.2158, + "step": 3182 + }, + { + "epoch": 0.8, + "learning_rate": 1.02125e-05, + "loss": 1.2627, + "step": 3183 + }, + { + "epoch": 0.8, + "learning_rate": 1.02e-05, + "loss": 1.1553, + "step": 3184 + }, + { + "epoch": 0.8, + "learning_rate": 1.01875e-05, + "loss": 1.248, + "step": 3185 + }, + { + "epoch": 0.8, + "learning_rate": 1.0175e-05, + "loss": 1.248, + "step": 3186 + }, + { + "epoch": 0.8, + "learning_rate": 1.01625e-05, + "loss": 1.5762, + "step": 3187 + }, + { + "epoch": 0.8, + "learning_rate": 1.0150000000000001e-05, + "loss": 1.3662, + "step": 3188 + }, + { + "epoch": 0.8, + "learning_rate": 1.01375e-05, + "loss": 1.5156, + "step": 3189 + }, + { + "epoch": 0.8, + "learning_rate": 1.0125e-05, + "loss": 1.2139, + "step": 3190 + }, + { + "epoch": 0.8, + "learning_rate": 1.0112500000000002e-05, + "loss": 1.292, + "step": 3191 + }, + { + "epoch": 0.8, + "learning_rate": 1.0100000000000002e-05, + "loss": 1.0898, + "step": 3192 + }, + { + "epoch": 0.8, + "learning_rate": 1.0087500000000001e-05, + "loss": 1.2119, + "step": 3193 + }, + { + "epoch": 0.8, + "learning_rate": 1.0075000000000001e-05, + "loss": 1.3115, + "step": 3194 + }, + { + "epoch": 0.8, + "learning_rate": 1.00625e-05, + "loss": 1.2559, + "step": 3195 + }, + { + "epoch": 0.8, + "learning_rate": 1.005e-05, + "loss": 1.0654, + "step": 3196 + }, + { + "epoch": 0.8, + "learning_rate": 1.0037500000000002e-05, + "loss": 1.1064, + "step": 3197 + }, + { + "epoch": 0.8, + "learning_rate": 1.0025000000000001e-05, + "loss": 1.292, + "step": 3198 + }, + { + "epoch": 0.8, + "learning_rate": 1.0012500000000001e-05, + "loss": 1.1357, + "step": 3199 + }, + { + "epoch": 0.8, + "learning_rate": 1e-05, + "loss": 1.1104, + "step": 3200 + }, + { + "epoch": 0.8, + "learning_rate": 9.9875e-06, + "loss": 1.2051, + "step": 3201 + }, + { + "epoch": 0.8, + "learning_rate": 9.975e-06, + "loss": 1.2832, + "step": 3202 + }, + { + "epoch": 0.8, + "learning_rate": 9.962500000000002e-06, + "loss": 1.1582, + "step": 3203 + }, + { + "epoch": 0.8, + "learning_rate": 9.950000000000001e-06, + "loss": 1.6836, + "step": 3204 + }, + { + "epoch": 0.8, + "learning_rate": 9.937500000000001e-06, + "loss": 1.5127, + "step": 3205 + }, + { + "epoch": 0.8, + "learning_rate": 9.925e-06, + "loss": 1.5986, + "step": 3206 + }, + { + "epoch": 0.8, + "learning_rate": 9.9125e-06, + "loss": 1.334, + "step": 3207 + }, + { + "epoch": 0.8, + "learning_rate": 9.900000000000002e-06, + "loss": 1.1104, + "step": 3208 + }, + { + "epoch": 0.8, + "learning_rate": 9.887500000000001e-06, + "loss": 1.3613, + "step": 3209 + }, + { + "epoch": 0.8, + "learning_rate": 9.875000000000001e-06, + "loss": 1.2568, + "step": 3210 + }, + { + "epoch": 0.8, + "learning_rate": 9.862500000000001e-06, + "loss": 1.1484, + "step": 3211 + }, + { + "epoch": 0.8, + "learning_rate": 9.85e-06, + "loss": 1.4297, + "step": 3212 + }, + { + "epoch": 0.8, + "learning_rate": 9.8375e-06, + "loss": 0.9863, + "step": 3213 + }, + { + "epoch": 0.8, + "learning_rate": 9.825000000000002e-06, + "loss": 1.4248, + "step": 3214 + }, + { + "epoch": 0.8, + "learning_rate": 9.812500000000001e-06, + "loss": 1.2383, + "step": 3215 + }, + { + "epoch": 0.8, + "learning_rate": 9.800000000000001e-06, + "loss": 1.4102, + "step": 3216 + }, + { + "epoch": 0.8, + "learning_rate": 9.7875e-06, + "loss": 1.4717, + "step": 3217 + }, + { + "epoch": 0.8, + "learning_rate": 9.775e-06, + "loss": 1.2432, + "step": 3218 + }, + { + "epoch": 0.8, + "learning_rate": 9.7625e-06, + "loss": 1.0293, + "step": 3219 + }, + { + "epoch": 0.81, + "learning_rate": 9.750000000000002e-06, + "loss": 1.1807, + "step": 3220 + }, + { + "epoch": 0.81, + "learning_rate": 9.737500000000001e-06, + "loss": 1.3418, + "step": 3221 + }, + { + "epoch": 0.81, + "learning_rate": 9.725000000000001e-06, + "loss": 1.3613, + "step": 3222 + }, + { + "epoch": 0.81, + "learning_rate": 9.7125e-06, + "loss": 1.0361, + "step": 3223 + }, + { + "epoch": 0.81, + "learning_rate": 9.7e-06, + "loss": 1.1973, + "step": 3224 + }, + { + "epoch": 0.81, + "learning_rate": 9.6875e-06, + "loss": 1.0645, + "step": 3225 + }, + { + "epoch": 0.81, + "learning_rate": 9.675000000000001e-06, + "loss": 1.0527, + "step": 3226 + }, + { + "epoch": 0.81, + "learning_rate": 9.662500000000001e-06, + "loss": 1.3477, + "step": 3227 + }, + { + "epoch": 0.81, + "learning_rate": 9.65e-06, + "loss": 1.5391, + "step": 3228 + }, + { + "epoch": 0.81, + "learning_rate": 9.6375e-06, + "loss": 1.5918, + "step": 3229 + }, + { + "epoch": 0.81, + "learning_rate": 9.625e-06, + "loss": 1.2041, + "step": 3230 + }, + { + "epoch": 0.81, + "learning_rate": 9.6125e-06, + "loss": 1.1025, + "step": 3231 + }, + { + "epoch": 0.81, + "learning_rate": 9.600000000000001e-06, + "loss": 1.2441, + "step": 3232 + }, + { + "epoch": 0.81, + "learning_rate": 9.587500000000001e-06, + "loss": 1.2207, + "step": 3233 + }, + { + "epoch": 0.81, + "learning_rate": 9.575e-06, + "loss": 1.1836, + "step": 3234 + }, + { + "epoch": 0.81, + "learning_rate": 9.5625e-06, + "loss": 1.1055, + "step": 3235 + }, + { + "epoch": 0.81, + "learning_rate": 9.55e-06, + "loss": 1.2168, + "step": 3236 + }, + { + "epoch": 0.81, + "learning_rate": 9.537500000000001e-06, + "loss": 1.1445, + "step": 3237 + }, + { + "epoch": 0.81, + "learning_rate": 9.525000000000001e-06, + "loss": 1.3359, + "step": 3238 + }, + { + "epoch": 0.81, + "learning_rate": 9.5125e-06, + "loss": 1.0342, + "step": 3239 + }, + { + "epoch": 0.81, + "learning_rate": 9.5e-06, + "loss": 1.2803, + "step": 3240 + }, + { + "epoch": 0.81, + "learning_rate": 9.4875e-06, + "loss": 1.3682, + "step": 3241 + }, + { + "epoch": 0.81, + "learning_rate": 9.475e-06, + "loss": 1.0957, + "step": 3242 + }, + { + "epoch": 0.81, + "learning_rate": 9.462500000000001e-06, + "loss": 1.3857, + "step": 3243 + }, + { + "epoch": 0.81, + "learning_rate": 9.450000000000001e-06, + "loss": 1.3662, + "step": 3244 + }, + { + "epoch": 0.81, + "learning_rate": 9.4375e-06, + "loss": 1.1006, + "step": 3245 + }, + { + "epoch": 0.81, + "learning_rate": 9.425e-06, + "loss": 1.2969, + "step": 3246 + }, + { + "epoch": 0.81, + "learning_rate": 9.4125e-06, + "loss": 1.1182, + "step": 3247 + }, + { + "epoch": 0.81, + "learning_rate": 9.4e-06, + "loss": 1.2656, + "step": 3248 + }, + { + "epoch": 0.81, + "learning_rate": 9.387500000000001e-06, + "loss": 1.168, + "step": 3249 + }, + { + "epoch": 0.81, + "learning_rate": 9.375000000000001e-06, + "loss": 1.459, + "step": 3250 + }, + { + "epoch": 0.81, + "learning_rate": 9.3625e-06, + "loss": 1.084, + "step": 3251 + }, + { + "epoch": 0.81, + "learning_rate": 9.35e-06, + "loss": 1.0742, + "step": 3252 + }, + { + "epoch": 0.81, + "learning_rate": 9.3375e-06, + "loss": 1.3467, + "step": 3253 + }, + { + "epoch": 0.81, + "learning_rate": 9.325e-06, + "loss": 1.3037, + "step": 3254 + }, + { + "epoch": 0.81, + "learning_rate": 9.312500000000001e-06, + "loss": 1.1855, + "step": 3255 + }, + { + "epoch": 0.81, + "learning_rate": 9.3e-06, + "loss": 1.251, + "step": 3256 + }, + { + "epoch": 0.81, + "learning_rate": 9.2875e-06, + "loss": 1.4053, + "step": 3257 + }, + { + "epoch": 0.81, + "learning_rate": 9.275e-06, + "loss": 1.3193, + "step": 3258 + }, + { + "epoch": 0.81, + "learning_rate": 9.2625e-06, + "loss": 1.335, + "step": 3259 + }, + { + "epoch": 0.81, + "learning_rate": 9.25e-06, + "loss": 1.0283, + "step": 3260 + }, + { + "epoch": 0.82, + "learning_rate": 9.237500000000001e-06, + "loss": 1.0371, + "step": 3261 + }, + { + "epoch": 0.82, + "learning_rate": 9.225e-06, + "loss": 1.3174, + "step": 3262 + }, + { + "epoch": 0.82, + "learning_rate": 9.2125e-06, + "loss": 1.1943, + "step": 3263 + }, + { + "epoch": 0.82, + "learning_rate": 9.2e-06, + "loss": 1.4453, + "step": 3264 + }, + { + "epoch": 0.82, + "learning_rate": 9.1875e-06, + "loss": 1.623, + "step": 3265 + }, + { + "epoch": 0.82, + "learning_rate": 9.175000000000001e-06, + "loss": 1.0898, + "step": 3266 + }, + { + "epoch": 0.82, + "learning_rate": 9.1625e-06, + "loss": 1.5635, + "step": 3267 + }, + { + "epoch": 0.82, + "learning_rate": 9.15e-06, + "loss": 1.457, + "step": 3268 + }, + { + "epoch": 0.82, + "learning_rate": 9.1375e-06, + "loss": 1.1914, + "step": 3269 + }, + { + "epoch": 0.82, + "learning_rate": 9.125e-06, + "loss": 1.3545, + "step": 3270 + }, + { + "epoch": 0.82, + "learning_rate": 9.1125e-06, + "loss": 1.2012, + "step": 3271 + }, + { + "epoch": 0.82, + "learning_rate": 9.100000000000001e-06, + "loss": 1.3848, + "step": 3272 + }, + { + "epoch": 0.82, + "learning_rate": 9.0875e-06, + "loss": 1.1299, + "step": 3273 + }, + { + "epoch": 0.82, + "learning_rate": 9.075e-06, + "loss": 1.3516, + "step": 3274 + }, + { + "epoch": 0.82, + "learning_rate": 9.0625e-06, + "loss": 1.4268, + "step": 3275 + }, + { + "epoch": 0.82, + "learning_rate": 9.05e-06, + "loss": 1.2197, + "step": 3276 + }, + { + "epoch": 0.82, + "learning_rate": 9.0375e-06, + "loss": 1.1162, + "step": 3277 + }, + { + "epoch": 0.82, + "learning_rate": 9.025e-06, + "loss": 1.2783, + "step": 3278 + }, + { + "epoch": 0.82, + "learning_rate": 9.0125e-06, + "loss": 1.0527, + "step": 3279 + }, + { + "epoch": 0.82, + "learning_rate": 9e-06, + "loss": 1.377, + "step": 3280 + }, + { + "epoch": 0.82, + "learning_rate": 8.9875e-06, + "loss": 1.1807, + "step": 3281 + }, + { + "epoch": 0.82, + "learning_rate": 8.975e-06, + "loss": 1.1611, + "step": 3282 + }, + { + "epoch": 0.82, + "learning_rate": 8.9625e-06, + "loss": 1.374, + "step": 3283 + }, + { + "epoch": 0.82, + "learning_rate": 8.95e-06, + "loss": 1.2637, + "step": 3284 + }, + { + "epoch": 0.82, + "learning_rate": 8.9375e-06, + "loss": 1.2119, + "step": 3285 + }, + { + "epoch": 0.82, + "learning_rate": 8.925e-06, + "loss": 1.4727, + "step": 3286 + }, + { + "epoch": 0.82, + "learning_rate": 8.9125e-06, + "loss": 1.3291, + "step": 3287 + }, + { + "epoch": 0.82, + "learning_rate": 8.9e-06, + "loss": 1.4902, + "step": 3288 + }, + { + "epoch": 0.82, + "learning_rate": 8.8875e-06, + "loss": 1.0723, + "step": 3289 + }, + { + "epoch": 0.82, + "learning_rate": 8.875e-06, + "loss": 1.0811, + "step": 3290 + }, + { + "epoch": 0.82, + "learning_rate": 8.8625e-06, + "loss": 1.4609, + "step": 3291 + }, + { + "epoch": 0.82, + "learning_rate": 8.85e-06, + "loss": 1.3564, + "step": 3292 + }, + { + "epoch": 0.82, + "learning_rate": 8.8375e-06, + "loss": 1.2158, + "step": 3293 + }, + { + "epoch": 0.82, + "learning_rate": 8.825e-06, + "loss": 1.3125, + "step": 3294 + }, + { + "epoch": 0.82, + "learning_rate": 8.8125e-06, + "loss": 1.2129, + "step": 3295 + }, + { + "epoch": 0.82, + "learning_rate": 8.8e-06, + "loss": 1.4307, + "step": 3296 + }, + { + "epoch": 0.82, + "learning_rate": 8.7875e-06, + "loss": 1.3447, + "step": 3297 + }, + { + "epoch": 0.82, + "learning_rate": 8.775e-06, + "loss": 1.3047, + "step": 3298 + }, + { + "epoch": 0.82, + "learning_rate": 8.7625e-06, + "loss": 1.4453, + "step": 3299 + }, + { + "epoch": 0.82, + "learning_rate": 8.75e-06, + "loss": 1.3975, + "step": 3300 + }, + { + "epoch": 0.83, + "learning_rate": 8.7375e-06, + "loss": 1.3896, + "step": 3301 + }, + { + "epoch": 0.83, + "learning_rate": 8.725e-06, + "loss": 0.9629, + "step": 3302 + }, + { + "epoch": 0.83, + "learning_rate": 8.7125e-06, + "loss": 1.3047, + "step": 3303 + }, + { + "epoch": 0.83, + "learning_rate": 8.7e-06, + "loss": 1.3115, + "step": 3304 + }, + { + "epoch": 0.83, + "learning_rate": 8.6875e-06, + "loss": 1.4082, + "step": 3305 + }, + { + "epoch": 0.83, + "learning_rate": 8.674999999999999e-06, + "loss": 1.3789, + "step": 3306 + }, + { + "epoch": 0.83, + "learning_rate": 8.6625e-06, + "loss": 1.293, + "step": 3307 + }, + { + "epoch": 0.83, + "learning_rate": 8.65e-06, + "loss": 1.1406, + "step": 3308 + }, + { + "epoch": 0.83, + "learning_rate": 8.6375e-06, + "loss": 1.3486, + "step": 3309 + }, + { + "epoch": 0.83, + "learning_rate": 8.625e-06, + "loss": 1.0781, + "step": 3310 + }, + { + "epoch": 0.83, + "learning_rate": 8.6125e-06, + "loss": 1.335, + "step": 3311 + }, + { + "epoch": 0.83, + "learning_rate": 8.599999999999999e-06, + "loss": 1.2305, + "step": 3312 + }, + { + "epoch": 0.83, + "learning_rate": 8.5875e-06, + "loss": 1.3008, + "step": 3313 + }, + { + "epoch": 0.83, + "learning_rate": 8.575000000000002e-06, + "loss": 0.9849, + "step": 3314 + }, + { + "epoch": 0.83, + "learning_rate": 8.562500000000001e-06, + "loss": 1.2754, + "step": 3315 + }, + { + "epoch": 0.83, + "learning_rate": 8.550000000000001e-06, + "loss": 1.4033, + "step": 3316 + }, + { + "epoch": 0.83, + "learning_rate": 8.5375e-06, + "loss": 1.4102, + "step": 3317 + }, + { + "epoch": 0.83, + "learning_rate": 8.525e-06, + "loss": 1.2832, + "step": 3318 + }, + { + "epoch": 0.83, + "learning_rate": 8.5125e-06, + "loss": 1.1074, + "step": 3319 + }, + { + "epoch": 0.83, + "learning_rate": 8.500000000000002e-06, + "loss": 1.1523, + "step": 3320 + }, + { + "epoch": 0.83, + "learning_rate": 8.487500000000001e-06, + "loss": 1.3467, + "step": 3321 + }, + { + "epoch": 0.83, + "learning_rate": 8.475000000000001e-06, + "loss": 1.5645, + "step": 3322 + }, + { + "epoch": 0.83, + "learning_rate": 8.4625e-06, + "loss": 1.2119, + "step": 3323 + }, + { + "epoch": 0.83, + "learning_rate": 8.45e-06, + "loss": 1.4551, + "step": 3324 + }, + { + "epoch": 0.83, + "learning_rate": 8.437500000000002e-06, + "loss": 0.9956, + "step": 3325 + }, + { + "epoch": 0.83, + "learning_rate": 8.425000000000001e-06, + "loss": 1.5303, + "step": 3326 + }, + { + "epoch": 0.83, + "learning_rate": 8.412500000000001e-06, + "loss": 1.1475, + "step": 3327 + }, + { + "epoch": 0.83, + "learning_rate": 8.400000000000001e-06, + "loss": 1.2041, + "step": 3328 + }, + { + "epoch": 0.83, + "learning_rate": 8.3875e-06, + "loss": 1.4121, + "step": 3329 + }, + { + "epoch": 0.83, + "learning_rate": 8.375e-06, + "loss": 1.6191, + "step": 3330 + }, + { + "epoch": 0.83, + "learning_rate": 8.362500000000002e-06, + "loss": 1.5566, + "step": 3331 + }, + { + "epoch": 0.83, + "learning_rate": 8.350000000000001e-06, + "loss": 1.2959, + "step": 3332 + }, + { + "epoch": 0.83, + "learning_rate": 8.337500000000001e-06, + "loss": 1.124, + "step": 3333 + }, + { + "epoch": 0.83, + "learning_rate": 8.325e-06, + "loss": 1.3086, + "step": 3334 + }, + { + "epoch": 0.83, + "learning_rate": 8.3125e-06, + "loss": 1.2539, + "step": 3335 + }, + { + "epoch": 0.83, + "learning_rate": 8.3e-06, + "loss": 1.1631, + "step": 3336 + }, + { + "epoch": 0.83, + "learning_rate": 8.287500000000002e-06, + "loss": 1.3066, + "step": 3337 + }, + { + "epoch": 0.83, + "learning_rate": 8.275000000000001e-06, + "loss": 1.418, + "step": 3338 + }, + { + "epoch": 0.83, + "learning_rate": 8.262500000000001e-06, + "loss": 1.2734, + "step": 3339 + }, + { + "epoch": 0.83, + "learning_rate": 8.25e-06, + "loss": 1.2256, + "step": 3340 + }, + { + "epoch": 0.84, + "learning_rate": 8.2375e-06, + "loss": 1.0762, + "step": 3341 + }, + { + "epoch": 0.84, + "learning_rate": 8.225e-06, + "loss": 1.2852, + "step": 3342 + }, + { + "epoch": 0.84, + "learning_rate": 8.212500000000001e-06, + "loss": 1.4775, + "step": 3343 + }, + { + "epoch": 0.84, + "learning_rate": 8.200000000000001e-06, + "loss": 1.3613, + "step": 3344 + }, + { + "epoch": 0.84, + "learning_rate": 8.1875e-06, + "loss": 1.0957, + "step": 3345 + }, + { + "epoch": 0.84, + "learning_rate": 8.175e-06, + "loss": 1.3457, + "step": 3346 + }, + { + "epoch": 0.84, + "learning_rate": 8.1625e-06, + "loss": 1.042, + "step": 3347 + }, + { + "epoch": 0.84, + "learning_rate": 8.15e-06, + "loss": 1.2656, + "step": 3348 + }, + { + "epoch": 0.84, + "learning_rate": 8.137500000000001e-06, + "loss": 1.1396, + "step": 3349 + }, + { + "epoch": 0.84, + "learning_rate": 8.125000000000001e-06, + "loss": 0.8096, + "step": 3350 + }, + { + "epoch": 0.84, + "learning_rate": 8.1125e-06, + "loss": 1.3281, + "step": 3351 + }, + { + "epoch": 0.84, + "learning_rate": 8.1e-06, + "loss": 1.2168, + "step": 3352 + }, + { + "epoch": 0.84, + "learning_rate": 8.0875e-06, + "loss": 1.542, + "step": 3353 + }, + { + "epoch": 0.84, + "learning_rate": 8.075000000000001e-06, + "loss": 1.2607, + "step": 3354 + }, + { + "epoch": 0.84, + "learning_rate": 8.062500000000001e-06, + "loss": 1.2979, + "step": 3355 + }, + { + "epoch": 0.84, + "learning_rate": 8.050000000000001e-06, + "loss": 1.5488, + "step": 3356 + }, + { + "epoch": 0.84, + "learning_rate": 8.0375e-06, + "loss": 1.3115, + "step": 3357 + }, + { + "epoch": 0.84, + "learning_rate": 8.025e-06, + "loss": 1.2441, + "step": 3358 + }, + { + "epoch": 0.84, + "learning_rate": 8.0125e-06, + "loss": 1.4482, + "step": 3359 + }, + { + "epoch": 0.84, + "learning_rate": 8.000000000000001e-06, + "loss": 1.0137, + "step": 3360 + }, + { + "epoch": 0.84, + "learning_rate": 7.987500000000001e-06, + "loss": 1.4336, + "step": 3361 + }, + { + "epoch": 0.84, + "learning_rate": 7.975e-06, + "loss": 1.1592, + "step": 3362 + }, + { + "epoch": 0.84, + "learning_rate": 7.9625e-06, + "loss": 1.3535, + "step": 3363 + }, + { + "epoch": 0.84, + "learning_rate": 7.95e-06, + "loss": 1.4355, + "step": 3364 + }, + { + "epoch": 0.84, + "learning_rate": 7.9375e-06, + "loss": 1.1484, + "step": 3365 + }, + { + "epoch": 0.84, + "learning_rate": 7.925000000000001e-06, + "loss": 1.2236, + "step": 3366 + }, + { + "epoch": 0.84, + "learning_rate": 7.912500000000001e-06, + "loss": 1.3018, + "step": 3367 + }, + { + "epoch": 0.84, + "learning_rate": 7.9e-06, + "loss": 1.4717, + "step": 3368 + }, + { + "epoch": 0.84, + "learning_rate": 7.8875e-06, + "loss": 1.3193, + "step": 3369 + }, + { + "epoch": 0.84, + "learning_rate": 7.875e-06, + "loss": 1.2266, + "step": 3370 + }, + { + "epoch": 0.84, + "learning_rate": 7.8625e-06, + "loss": 1.3115, + "step": 3371 + }, + { + "epoch": 0.84, + "learning_rate": 7.850000000000001e-06, + "loss": 1.2188, + "step": 3372 + }, + { + "epoch": 0.84, + "learning_rate": 7.8375e-06, + "loss": 1.293, + "step": 3373 + }, + { + "epoch": 0.84, + "learning_rate": 7.825e-06, + "loss": 1.4971, + "step": 3374 + }, + { + "epoch": 0.84, + "learning_rate": 7.8125e-06, + "loss": 1.3379, + "step": 3375 + }, + { + "epoch": 0.84, + "learning_rate": 7.8e-06, + "loss": 1.2051, + "step": 3376 + }, + { + "epoch": 0.84, + "learning_rate": 7.7875e-06, + "loss": 1.2686, + "step": 3377 + }, + { + "epoch": 0.84, + "learning_rate": 7.775000000000001e-06, + "loss": 1.2402, + "step": 3378 + }, + { + "epoch": 0.84, + "learning_rate": 7.7625e-06, + "loss": 1.167, + "step": 3379 + }, + { + "epoch": 0.84, + "learning_rate": 7.75e-06, + "loss": 1.5, + "step": 3380 + }, + { + "epoch": 0.85, + "learning_rate": 7.7375e-06, + "loss": 1.2666, + "step": 3381 + }, + { + "epoch": 0.85, + "learning_rate": 7.725e-06, + "loss": 1.2812, + "step": 3382 + }, + { + "epoch": 0.85, + "learning_rate": 7.712500000000001e-06, + "loss": 1.2568, + "step": 3383 + }, + { + "epoch": 0.85, + "learning_rate": 7.7e-06, + "loss": 1.3955, + "step": 3384 + }, + { + "epoch": 0.85, + "learning_rate": 7.6875e-06, + "loss": 1.1641, + "step": 3385 + }, + { + "epoch": 0.85, + "learning_rate": 7.675e-06, + "loss": 1.5625, + "step": 3386 + }, + { + "epoch": 0.85, + "learning_rate": 7.6625e-06, + "loss": 1.3398, + "step": 3387 + }, + { + "epoch": 0.85, + "learning_rate": 7.65e-06, + "loss": 1.2695, + "step": 3388 + }, + { + "epoch": 0.85, + "learning_rate": 7.637500000000001e-06, + "loss": 0.9883, + "step": 3389 + }, + { + "epoch": 0.85, + "learning_rate": 7.625e-06, + "loss": 1.166, + "step": 3390 + }, + { + "epoch": 0.85, + "learning_rate": 7.6125e-06, + "loss": 1.1094, + "step": 3391 + }, + { + "epoch": 0.85, + "learning_rate": 7.6e-06, + "loss": 1.2754, + "step": 3392 + }, + { + "epoch": 0.85, + "learning_rate": 7.5875e-06, + "loss": 1.375, + "step": 3393 + }, + { + "epoch": 0.85, + "learning_rate": 7.575e-06, + "loss": 1.3945, + "step": 3394 + }, + { + "epoch": 0.85, + "learning_rate": 7.5625e-06, + "loss": 1.1582, + "step": 3395 + }, + { + "epoch": 0.85, + "learning_rate": 7.55e-06, + "loss": 1.0264, + "step": 3396 + }, + { + "epoch": 0.85, + "learning_rate": 7.5375e-06, + "loss": 0.9795, + "step": 3397 + }, + { + "epoch": 0.85, + "learning_rate": 7.525e-06, + "loss": 1.0439, + "step": 3398 + }, + { + "epoch": 0.85, + "learning_rate": 7.5125000000000005e-06, + "loss": 1.1152, + "step": 3399 + }, + { + "epoch": 0.85, + "learning_rate": 7.5e-06, + "loss": 1.083, + "step": 3400 + }, + { + "epoch": 0.85, + "learning_rate": 7.4875e-06, + "loss": 1.3682, + "step": 3401 + }, + { + "epoch": 0.85, + "learning_rate": 7.4750000000000004e-06, + "loss": 1.2461, + "step": 3402 + }, + { + "epoch": 0.85, + "learning_rate": 7.4625e-06, + "loss": 1.2236, + "step": 3403 + }, + { + "epoch": 0.85, + "learning_rate": 7.45e-06, + "loss": 1.1172, + "step": 3404 + }, + { + "epoch": 0.85, + "learning_rate": 7.4375e-06, + "loss": 1.291, + "step": 3405 + }, + { + "epoch": 0.85, + "learning_rate": 7.425e-06, + "loss": 1.1201, + "step": 3406 + }, + { + "epoch": 0.85, + "learning_rate": 7.4125e-06, + "loss": 1.3477, + "step": 3407 + }, + { + "epoch": 0.85, + "learning_rate": 7.4e-06, + "loss": 1.1504, + "step": 3408 + }, + { + "epoch": 0.85, + "learning_rate": 7.3875e-06, + "loss": 1.0684, + "step": 3409 + }, + { + "epoch": 0.85, + "learning_rate": 7.375e-06, + "loss": 1.4463, + "step": 3410 + }, + { + "epoch": 0.85, + "learning_rate": 7.3625e-06, + "loss": 1.2617, + "step": 3411 + }, + { + "epoch": 0.85, + "learning_rate": 7.35e-06, + "loss": 1.2295, + "step": 3412 + }, + { + "epoch": 0.85, + "learning_rate": 7.3375e-06, + "loss": 1.2559, + "step": 3413 + }, + { + "epoch": 0.85, + "learning_rate": 7.325e-06, + "loss": 1.0967, + "step": 3414 + }, + { + "epoch": 0.85, + "learning_rate": 7.3125e-06, + "loss": 1.083, + "step": 3415 + }, + { + "epoch": 0.85, + "learning_rate": 7.2999999999999996e-06, + "loss": 1.1377, + "step": 3416 + }, + { + "epoch": 0.85, + "learning_rate": 7.2875e-06, + "loss": 1.3926, + "step": 3417 + }, + { + "epoch": 0.85, + "learning_rate": 7.275e-06, + "loss": 1.1826, + "step": 3418 + }, + { + "epoch": 0.85, + "learning_rate": 7.2624999999999995e-06, + "loss": 1.1914, + "step": 3419 + }, + { + "epoch": 0.85, + "learning_rate": 7.25e-06, + "loss": 1.042, + "step": 3420 + }, + { + "epoch": 0.86, + "learning_rate": 7.2375e-06, + "loss": 1.3994, + "step": 3421 + }, + { + "epoch": 0.86, + "learning_rate": 7.2249999999999994e-06, + "loss": 1.1104, + "step": 3422 + }, + { + "epoch": 0.86, + "learning_rate": 7.2125e-06, + "loss": 1.3008, + "step": 3423 + }, + { + "epoch": 0.86, + "learning_rate": 7.2e-06, + "loss": 1.0693, + "step": 3424 + }, + { + "epoch": 0.86, + "learning_rate": 7.187499999999999e-06, + "loss": 0.98, + "step": 3425 + }, + { + "epoch": 0.86, + "learning_rate": 7.175e-06, + "loss": 1.2803, + "step": 3426 + }, + { + "epoch": 0.86, + "learning_rate": 7.1625e-06, + "loss": 1.6572, + "step": 3427 + }, + { + "epoch": 0.86, + "learning_rate": 7.15e-06, + "loss": 1.0557, + "step": 3428 + }, + { + "epoch": 0.86, + "learning_rate": 7.1375e-06, + "loss": 1.501, + "step": 3429 + }, + { + "epoch": 0.86, + "learning_rate": 7.1249999999999995e-06, + "loss": 1.1084, + "step": 3430 + }, + { + "epoch": 0.86, + "learning_rate": 7.1125e-06, + "loss": 1.1562, + "step": 3431 + }, + { + "epoch": 0.86, + "learning_rate": 7.1e-06, + "loss": 1.4346, + "step": 3432 + }, + { + "epoch": 0.86, + "learning_rate": 7.0874999999999995e-06, + "loss": 1.0518, + "step": 3433 + }, + { + "epoch": 0.86, + "learning_rate": 7.075e-06, + "loss": 1.418, + "step": 3434 + }, + { + "epoch": 0.86, + "learning_rate": 7.0625e-06, + "loss": 1.334, + "step": 3435 + }, + { + "epoch": 0.86, + "learning_rate": 7.049999999999999e-06, + "loss": 1.3701, + "step": 3436 + }, + { + "epoch": 0.86, + "learning_rate": 7.0375e-06, + "loss": 0.9424, + "step": 3437 + }, + { + "epoch": 0.86, + "learning_rate": 7.025000000000001e-06, + "loss": 1.1279, + "step": 3438 + }, + { + "epoch": 0.86, + "learning_rate": 7.012500000000001e-06, + "loss": 1.1562, + "step": 3439 + }, + { + "epoch": 0.86, + "learning_rate": 7.000000000000001e-06, + "loss": 1.2842, + "step": 3440 + }, + { + "epoch": 0.86, + "learning_rate": 6.987500000000001e-06, + "loss": 1.5479, + "step": 3441 + }, + { + "epoch": 0.86, + "learning_rate": 6.975000000000001e-06, + "loss": 1.1758, + "step": 3442 + }, + { + "epoch": 0.86, + "learning_rate": 6.962500000000001e-06, + "loss": 1.4004, + "step": 3443 + }, + { + "epoch": 0.86, + "learning_rate": 6.950000000000001e-06, + "loss": 1.3408, + "step": 3444 + }, + { + "epoch": 0.86, + "learning_rate": 6.937500000000001e-06, + "loss": 1.1738, + "step": 3445 + }, + { + "epoch": 0.86, + "learning_rate": 6.925000000000001e-06, + "loss": 1.0889, + "step": 3446 + }, + { + "epoch": 0.86, + "learning_rate": 6.912500000000001e-06, + "loss": 1.082, + "step": 3447 + }, + { + "epoch": 0.86, + "learning_rate": 6.900000000000001e-06, + "loss": 1.2578, + "step": 3448 + }, + { + "epoch": 0.86, + "learning_rate": 6.8875000000000005e-06, + "loss": 0.9844, + "step": 3449 + }, + { + "epoch": 0.86, + "learning_rate": 6.875000000000001e-06, + "loss": 1.3359, + "step": 3450 + }, + { + "epoch": 0.86, + "learning_rate": 6.862500000000001e-06, + "loss": 1.0459, + "step": 3451 + }, + { + "epoch": 0.86, + "learning_rate": 6.8500000000000005e-06, + "loss": 1.0049, + "step": 3452 + }, + { + "epoch": 0.86, + "learning_rate": 6.837500000000001e-06, + "loss": 1.166, + "step": 3453 + }, + { + "epoch": 0.86, + "learning_rate": 6.825000000000001e-06, + "loss": 1.3037, + "step": 3454 + }, + { + "epoch": 0.86, + "learning_rate": 6.8125e-06, + "loss": 1.1992, + "step": 3455 + }, + { + "epoch": 0.86, + "learning_rate": 6.800000000000001e-06, + "loss": 1.1465, + "step": 3456 + }, + { + "epoch": 0.86, + "learning_rate": 6.787500000000001e-06, + "loss": 1.0537, + "step": 3457 + }, + { + "epoch": 0.86, + "learning_rate": 6.775000000000001e-06, + "loss": 0.9404, + "step": 3458 + }, + { + "epoch": 0.86, + "learning_rate": 6.762500000000001e-06, + "loss": 1.3896, + "step": 3459 + }, + { + "epoch": 0.86, + "learning_rate": 6.750000000000001e-06, + "loss": 1.6318, + "step": 3460 + }, + { + "epoch": 0.87, + "learning_rate": 6.737500000000001e-06, + "loss": 1.1758, + "step": 3461 + }, + { + "epoch": 0.87, + "learning_rate": 6.725000000000001e-06, + "loss": 1.2949, + "step": 3462 + }, + { + "epoch": 0.87, + "learning_rate": 6.7125000000000005e-06, + "loss": 0.9399, + "step": 3463 + }, + { + "epoch": 0.87, + "learning_rate": 6.700000000000001e-06, + "loss": 1.2344, + "step": 3464 + }, + { + "epoch": 0.87, + "learning_rate": 6.687500000000001e-06, + "loss": 1.4502, + "step": 3465 + }, + { + "epoch": 0.87, + "learning_rate": 6.6750000000000005e-06, + "loss": 1.0117, + "step": 3466 + }, + { + "epoch": 0.87, + "learning_rate": 6.662500000000001e-06, + "loss": 1.2734, + "step": 3467 + }, + { + "epoch": 0.87, + "learning_rate": 6.650000000000001e-06, + "loss": 1.2842, + "step": 3468 + }, + { + "epoch": 0.87, + "learning_rate": 6.6375e-06, + "loss": 1.3789, + "step": 3469 + }, + { + "epoch": 0.87, + "learning_rate": 6.625000000000001e-06, + "loss": 1.0518, + "step": 3470 + }, + { + "epoch": 0.87, + "learning_rate": 6.612500000000001e-06, + "loss": 1.1484, + "step": 3471 + }, + { + "epoch": 0.87, + "learning_rate": 6.6e-06, + "loss": 1.4131, + "step": 3472 + }, + { + "epoch": 0.87, + "learning_rate": 6.587500000000001e-06, + "loss": 1.1455, + "step": 3473 + }, + { + "epoch": 0.87, + "learning_rate": 6.5750000000000006e-06, + "loss": 1.3887, + "step": 3474 + }, + { + "epoch": 0.87, + "learning_rate": 6.5625e-06, + "loss": 1.3887, + "step": 3475 + }, + { + "epoch": 0.87, + "learning_rate": 6.550000000000001e-06, + "loss": 1.4346, + "step": 3476 + }, + { + "epoch": 0.87, + "learning_rate": 6.5375000000000005e-06, + "loss": 1.2041, + "step": 3477 + }, + { + "epoch": 0.87, + "learning_rate": 6.525e-06, + "loss": 1.123, + "step": 3478 + }, + { + "epoch": 0.87, + "learning_rate": 6.512500000000001e-06, + "loss": 1.0752, + "step": 3479 + }, + { + "epoch": 0.87, + "learning_rate": 6.5000000000000004e-06, + "loss": 1.3252, + "step": 3480 + }, + { + "epoch": 0.87, + "learning_rate": 6.4875e-06, + "loss": 1.3906, + "step": 3481 + }, + { + "epoch": 0.87, + "learning_rate": 6.475000000000001e-06, + "loss": 1.4395, + "step": 3482 + }, + { + "epoch": 0.87, + "learning_rate": 6.4625e-06, + "loss": 1.2412, + "step": 3483 + }, + { + "epoch": 0.87, + "learning_rate": 6.45e-06, + "loss": 1.0957, + "step": 3484 + }, + { + "epoch": 0.87, + "learning_rate": 6.437500000000001e-06, + "loss": 1.1494, + "step": 3485 + }, + { + "epoch": 0.87, + "learning_rate": 6.425e-06, + "loss": 1.291, + "step": 3486 + }, + { + "epoch": 0.87, + "learning_rate": 6.412500000000001e-06, + "loss": 1.415, + "step": 3487 + }, + { + "epoch": 0.87, + "learning_rate": 6.4000000000000006e-06, + "loss": 1.1748, + "step": 3488 + }, + { + "epoch": 0.87, + "learning_rate": 6.3875e-06, + "loss": 1.2393, + "step": 3489 + }, + { + "epoch": 0.87, + "learning_rate": 6.375000000000001e-06, + "loss": 1.125, + "step": 3490 + }, + { + "epoch": 0.87, + "learning_rate": 6.3625000000000005e-06, + "loss": 1.54, + "step": 3491 + }, + { + "epoch": 0.87, + "learning_rate": 6.35e-06, + "loss": 1.3652, + "step": 3492 + }, + { + "epoch": 0.87, + "learning_rate": 6.337500000000001e-06, + "loss": 1.3867, + "step": 3493 + }, + { + "epoch": 0.87, + "learning_rate": 6.3250000000000004e-06, + "loss": 1.0469, + "step": 3494 + }, + { + "epoch": 0.87, + "learning_rate": 6.3125e-06, + "loss": 1.0156, + "step": 3495 + }, + { + "epoch": 0.87, + "learning_rate": 6.300000000000001e-06, + "loss": 1.4131, + "step": 3496 + }, + { + "epoch": 0.87, + "learning_rate": 6.2875e-06, + "loss": 1.2227, + "step": 3497 + }, + { + "epoch": 0.87, + "learning_rate": 6.275e-06, + "loss": 1.0869, + "step": 3498 + }, + { + "epoch": 0.87, + "learning_rate": 6.262500000000001e-06, + "loss": 1.1807, + "step": 3499 + }, + { + "epoch": 0.88, + "learning_rate": 6.25e-06, + "loss": 1.5889, + "step": 3500 + }, + { + "epoch": 0.88, + "learning_rate": 6.2375e-06, + "loss": 1.2578, + "step": 3501 + }, + { + "epoch": 0.88, + "learning_rate": 6.2250000000000005e-06, + "loss": 1.4951, + "step": 3502 + }, + { + "epoch": 0.88, + "learning_rate": 6.2125e-06, + "loss": 1.1748, + "step": 3503 + }, + { + "epoch": 0.88, + "learning_rate": 6.2e-06, + "loss": 1.0703, + "step": 3504 + }, + { + "epoch": 0.88, + "learning_rate": 6.1875000000000005e-06, + "loss": 1.3037, + "step": 3505 + }, + { + "epoch": 0.88, + "learning_rate": 6.175e-06, + "loss": 1.4541, + "step": 3506 + }, + { + "epoch": 0.88, + "learning_rate": 6.1625e-06, + "loss": 1.1621, + "step": 3507 + }, + { + "epoch": 0.88, + "learning_rate": 6.15e-06, + "loss": 1.0889, + "step": 3508 + }, + { + "epoch": 0.88, + "learning_rate": 6.1375e-06, + "loss": 1.4902, + "step": 3509 + }, + { + "epoch": 0.88, + "learning_rate": 6.125e-06, + "loss": 1.2754, + "step": 3510 + }, + { + "epoch": 0.88, + "learning_rate": 6.1125e-06, + "loss": 1.3799, + "step": 3511 + }, + { + "epoch": 0.88, + "learning_rate": 6.1e-06, + "loss": 1.3516, + "step": 3512 + }, + { + "epoch": 0.88, + "learning_rate": 6.0875e-06, + "loss": 1.3945, + "step": 3513 + }, + { + "epoch": 0.88, + "learning_rate": 6.075e-06, + "loss": 1.0537, + "step": 3514 + }, + { + "epoch": 0.88, + "learning_rate": 6.0625e-06, + "loss": 1.2754, + "step": 3515 + }, + { + "epoch": 0.88, + "learning_rate": 6.0500000000000005e-06, + "loss": 1.3916, + "step": 3516 + }, + { + "epoch": 0.88, + "learning_rate": 6.0375e-06, + "loss": 1.0947, + "step": 3517 + }, + { + "epoch": 0.88, + "learning_rate": 6.025e-06, + "loss": 1.1016, + "step": 3518 + }, + { + "epoch": 0.88, + "learning_rate": 6.0125000000000005e-06, + "loss": 1.2158, + "step": 3519 + }, + { + "epoch": 0.88, + "learning_rate": 6e-06, + "loss": 1.127, + "step": 3520 + }, + { + "epoch": 0.88, + "learning_rate": 5.9875e-06, + "loss": 1.3896, + "step": 3521 + }, + { + "epoch": 0.88, + "learning_rate": 5.975e-06, + "loss": 1.2168, + "step": 3522 + }, + { + "epoch": 0.88, + "learning_rate": 5.9625e-06, + "loss": 1.3408, + "step": 3523 + }, + { + "epoch": 0.88, + "learning_rate": 5.95e-06, + "loss": 0.9072, + "step": 3524 + }, + { + "epoch": 0.88, + "learning_rate": 5.9375e-06, + "loss": 1.5195, + "step": 3525 + }, + { + "epoch": 0.88, + "learning_rate": 5.925e-06, + "loss": 1.1943, + "step": 3526 + }, + { + "epoch": 0.88, + "learning_rate": 5.9125e-06, + "loss": 1.0215, + "step": 3527 + }, + { + "epoch": 0.88, + "learning_rate": 5.9e-06, + "loss": 1.4834, + "step": 3528 + }, + { + "epoch": 0.88, + "learning_rate": 5.8875e-06, + "loss": 1.1406, + "step": 3529 + }, + { + "epoch": 0.88, + "learning_rate": 5.875e-06, + "loss": 1.3516, + "step": 3530 + }, + { + "epoch": 0.88, + "learning_rate": 5.8625e-06, + "loss": 1.3105, + "step": 3531 + }, + { + "epoch": 0.88, + "learning_rate": 5.850000000000001e-06, + "loss": 1.2402, + "step": 3532 + }, + { + "epoch": 0.88, + "learning_rate": 5.8375000000000004e-06, + "loss": 1.1543, + "step": 3533 + }, + { + "epoch": 0.88, + "learning_rate": 5.825000000000001e-06, + "loss": 0.9839, + "step": 3534 + }, + { + "epoch": 0.88, + "learning_rate": 5.812500000000001e-06, + "loss": 1.2139, + "step": 3535 + }, + { + "epoch": 0.88, + "learning_rate": 5.8e-06, + "loss": 1.1396, + "step": 3536 + }, + { + "epoch": 0.88, + "learning_rate": 5.787500000000001e-06, + "loss": 1.1172, + "step": 3537 + }, + { + "epoch": 0.88, + "learning_rate": 5.775000000000001e-06, + "loss": 1.4229, + "step": 3538 + }, + { + "epoch": 0.88, + "learning_rate": 5.7625e-06, + "loss": 1.2334, + "step": 3539 + }, + { + "epoch": 0.89, + "learning_rate": 5.750000000000001e-06, + "loss": 1.5059, + "step": 3540 + }, + { + "epoch": 0.89, + "learning_rate": 5.7375000000000005e-06, + "loss": 1.1934, + "step": 3541 + }, + { + "epoch": 0.89, + "learning_rate": 5.725e-06, + "loss": 1.375, + "step": 3542 + }, + { + "epoch": 0.89, + "learning_rate": 5.712500000000001e-06, + "loss": 1.2129, + "step": 3543 + }, + { + "epoch": 0.89, + "learning_rate": 5.7000000000000005e-06, + "loss": 1.3711, + "step": 3544 + }, + { + "epoch": 0.89, + "learning_rate": 5.6875e-06, + "loss": 1.2803, + "step": 3545 + }, + { + "epoch": 0.89, + "learning_rate": 5.675000000000001e-06, + "loss": 1.2422, + "step": 3546 + }, + { + "epoch": 0.89, + "learning_rate": 5.6625e-06, + "loss": 0.9521, + "step": 3547 + }, + { + "epoch": 0.89, + "learning_rate": 5.65e-06, + "loss": 1.2012, + "step": 3548 + }, + { + "epoch": 0.89, + "learning_rate": 5.637500000000001e-06, + "loss": 1.209, + "step": 3549 + }, + { + "epoch": 0.89, + "learning_rate": 5.625e-06, + "loss": 1.4121, + "step": 3550 + }, + { + "epoch": 0.89, + "learning_rate": 5.6125e-06, + "loss": 1.21, + "step": 3551 + }, + { + "epoch": 0.89, + "learning_rate": 5.600000000000001e-06, + "loss": 1.2646, + "step": 3552 + }, + { + "epoch": 0.89, + "learning_rate": 5.5875e-06, + "loss": 1.3311, + "step": 3553 + }, + { + "epoch": 0.89, + "learning_rate": 5.575e-06, + "loss": 1.335, + "step": 3554 + }, + { + "epoch": 0.89, + "learning_rate": 5.5625000000000005e-06, + "loss": 1.3447, + "step": 3555 + }, + { + "epoch": 0.89, + "learning_rate": 5.55e-06, + "loss": 1.291, + "step": 3556 + }, + { + "epoch": 0.89, + "learning_rate": 5.5375e-06, + "loss": 1.0898, + "step": 3557 + }, + { + "epoch": 0.89, + "learning_rate": 5.5250000000000005e-06, + "loss": 1.4551, + "step": 3558 + }, + { + "epoch": 0.89, + "learning_rate": 5.5125e-06, + "loss": 1.1074, + "step": 3559 + }, + { + "epoch": 0.89, + "learning_rate": 5.500000000000001e-06, + "loss": 1.415, + "step": 3560 + }, + { + "epoch": 0.89, + "learning_rate": 5.4875e-06, + "loss": 1.0146, + "step": 3561 + }, + { + "epoch": 0.89, + "learning_rate": 5.475e-06, + "loss": 1.2119, + "step": 3562 + }, + { + "epoch": 0.89, + "learning_rate": 5.462500000000001e-06, + "loss": 1.2129, + "step": 3563 + }, + { + "epoch": 0.89, + "learning_rate": 5.45e-06, + "loss": 1.3115, + "step": 3564 + }, + { + "epoch": 0.89, + "learning_rate": 5.4375e-06, + "loss": 1.2422, + "step": 3565 + }, + { + "epoch": 0.89, + "learning_rate": 5.4250000000000006e-06, + "loss": 1.3242, + "step": 3566 + }, + { + "epoch": 0.89, + "learning_rate": 5.4125e-06, + "loss": 1.5059, + "step": 3567 + }, + { + "epoch": 0.89, + "learning_rate": 5.4e-06, + "loss": 1.334, + "step": 3568 + }, + { + "epoch": 0.89, + "learning_rate": 5.3875000000000005e-06, + "loss": 1.2148, + "step": 3569 + }, + { + "epoch": 0.89, + "learning_rate": 5.375e-06, + "loss": 1.3691, + "step": 3570 + }, + { + "epoch": 0.89, + "learning_rate": 5.3625e-06, + "loss": 1.0391, + "step": 3571 + }, + { + "epoch": 0.89, + "learning_rate": 5.3500000000000004e-06, + "loss": 1.458, + "step": 3572 + }, + { + "epoch": 0.89, + "learning_rate": 5.3375e-06, + "loss": 1.1406, + "step": 3573 + }, + { + "epoch": 0.89, + "learning_rate": 5.325e-06, + "loss": 1.1094, + "step": 3574 + }, + { + "epoch": 0.89, + "learning_rate": 5.3125e-06, + "loss": 1.2998, + "step": 3575 + }, + { + "epoch": 0.89, + "learning_rate": 5.3e-06, + "loss": 1.2578, + "step": 3576 + }, + { + "epoch": 0.89, + "learning_rate": 5.2875e-06, + "loss": 0.9634, + "step": 3577 + }, + { + "epoch": 0.89, + "learning_rate": 5.275e-06, + "loss": 1.3867, + "step": 3578 + }, + { + "epoch": 0.89, + "learning_rate": 5.2625e-06, + "loss": 1.3252, + "step": 3579 + }, + { + "epoch": 0.9, + "learning_rate": 5.25e-06, + "loss": 1.459, + "step": 3580 + }, + { + "epoch": 0.9, + "learning_rate": 5.2375e-06, + "loss": 1.3906, + "step": 3581 + }, + { + "epoch": 0.9, + "learning_rate": 5.225e-06, + "loss": 1.2188, + "step": 3582 + }, + { + "epoch": 0.9, + "learning_rate": 5.2125e-06, + "loss": 1.2959, + "step": 3583 + }, + { + "epoch": 0.9, + "learning_rate": 5.2e-06, + "loss": 1.2939, + "step": 3584 + }, + { + "epoch": 0.9, + "learning_rate": 5.1875e-06, + "loss": 1.1025, + "step": 3585 + }, + { + "epoch": 0.9, + "learning_rate": 5.175e-06, + "loss": 1.6758, + "step": 3586 + }, + { + "epoch": 0.9, + "learning_rate": 5.1625e-06, + "loss": 1.166, + "step": 3587 + }, + { + "epoch": 0.9, + "learning_rate": 5.15e-06, + "loss": 1.4492, + "step": 3588 + }, + { + "epoch": 0.9, + "learning_rate": 5.1375e-06, + "loss": 1.4814, + "step": 3589 + }, + { + "epoch": 0.9, + "learning_rate": 5.125e-06, + "loss": 1.4434, + "step": 3590 + }, + { + "epoch": 0.9, + "learning_rate": 5.1125e-06, + "loss": 1.3525, + "step": 3591 + }, + { + "epoch": 0.9, + "learning_rate": 5.1e-06, + "loss": 1.4141, + "step": 3592 + }, + { + "epoch": 0.9, + "learning_rate": 5.0875e-06, + "loss": 1.4727, + "step": 3593 + }, + { + "epoch": 0.9, + "learning_rate": 5.0750000000000005e-06, + "loss": 1.3594, + "step": 3594 + }, + { + "epoch": 0.9, + "learning_rate": 5.0625e-06, + "loss": 1.1621, + "step": 3595 + }, + { + "epoch": 0.9, + "learning_rate": 5.050000000000001e-06, + "loss": 1.1807, + "step": 3596 + }, + { + "epoch": 0.9, + "learning_rate": 5.0375000000000005e-06, + "loss": 1.499, + "step": 3597 + }, + { + "epoch": 0.9, + "learning_rate": 5.025e-06, + "loss": 1.4443, + "step": 3598 + }, + { + "epoch": 0.9, + "learning_rate": 5.012500000000001e-06, + "loss": 1.0576, + "step": 3599 + }, + { + "epoch": 0.9, + "learning_rate": 5e-06, + "loss": 1.0615, + "step": 3600 + }, + { + "epoch": 0.9, + "learning_rate": 4.9875e-06, + "loss": 1.3652, + "step": 3601 + }, + { + "epoch": 0.9, + "learning_rate": 4.975000000000001e-06, + "loss": 1.627, + "step": 3602 + }, + { + "epoch": 0.9, + "learning_rate": 4.9625e-06, + "loss": 1.2988, + "step": 3603 + }, + { + "epoch": 0.9, + "learning_rate": 4.950000000000001e-06, + "loss": 1.4795, + "step": 3604 + }, + { + "epoch": 0.9, + "learning_rate": 4.937500000000001e-06, + "loss": 1.1924, + "step": 3605 + }, + { + "epoch": 0.9, + "learning_rate": 4.925e-06, + "loss": 1.1357, + "step": 3606 + }, + { + "epoch": 0.9, + "learning_rate": 4.912500000000001e-06, + "loss": 1.4434, + "step": 3607 + }, + { + "epoch": 0.9, + "learning_rate": 4.9000000000000005e-06, + "loss": 1.4385, + "step": 3608 + }, + { + "epoch": 0.9, + "learning_rate": 4.8875e-06, + "loss": 1.4482, + "step": 3609 + }, + { + "epoch": 0.9, + "learning_rate": 4.875000000000001e-06, + "loss": 1.5273, + "step": 3610 + }, + { + "epoch": 0.9, + "learning_rate": 4.8625000000000005e-06, + "loss": 1.1436, + "step": 3611 + }, + { + "epoch": 0.9, + "learning_rate": 4.85e-06, + "loss": 1.2217, + "step": 3612 + }, + { + "epoch": 0.9, + "learning_rate": 4.837500000000001e-06, + "loss": 1.0723, + "step": 3613 + }, + { + "epoch": 0.9, + "learning_rate": 4.825e-06, + "loss": 1.0303, + "step": 3614 + }, + { + "epoch": 0.9, + "learning_rate": 4.8125e-06, + "loss": 1.4717, + "step": 3615 + }, + { + "epoch": 0.9, + "learning_rate": 4.800000000000001e-06, + "loss": 1.3262, + "step": 3616 + }, + { + "epoch": 0.9, + "learning_rate": 4.7875e-06, + "loss": 1.3789, + "step": 3617 + }, + { + "epoch": 0.9, + "learning_rate": 4.775e-06, + "loss": 1.0605, + "step": 3618 + }, + { + "epoch": 0.9, + "learning_rate": 4.7625000000000006e-06, + "loss": 1.1797, + "step": 3619 + }, + { + "epoch": 0.91, + "learning_rate": 4.75e-06, + "loss": 1.2969, + "step": 3620 + }, + { + "epoch": 0.91, + "learning_rate": 4.7375e-06, + "loss": 1.4746, + "step": 3621 + }, + { + "epoch": 0.91, + "learning_rate": 4.7250000000000005e-06, + "loss": 1.3252, + "step": 3622 + }, + { + "epoch": 0.91, + "learning_rate": 4.7125e-06, + "loss": 1.0088, + "step": 3623 + }, + { + "epoch": 0.91, + "learning_rate": 4.7e-06, + "loss": 1.2188, + "step": 3624 + }, + { + "epoch": 0.91, + "learning_rate": 4.6875000000000004e-06, + "loss": 1.2363, + "step": 3625 + }, + { + "epoch": 0.91, + "learning_rate": 4.675e-06, + "loss": 1.0342, + "step": 3626 + }, + { + "epoch": 0.91, + "learning_rate": 4.6625e-06, + "loss": 1.1035, + "step": 3627 + }, + { + "epoch": 0.91, + "learning_rate": 4.65e-06, + "loss": 1.251, + "step": 3628 + }, + { + "epoch": 0.91, + "learning_rate": 4.6375e-06, + "loss": 1.1289, + "step": 3629 + }, + { + "epoch": 0.91, + "learning_rate": 4.625e-06, + "loss": 1.293, + "step": 3630 + }, + { + "epoch": 0.91, + "learning_rate": 4.6125e-06, + "loss": 1.2354, + "step": 3631 + }, + { + "epoch": 0.91, + "learning_rate": 4.6e-06, + "loss": 1.2705, + "step": 3632 + }, + { + "epoch": 0.91, + "learning_rate": 4.5875000000000005e-06, + "loss": 1.4092, + "step": 3633 + }, + { + "epoch": 0.91, + "learning_rate": 4.575e-06, + "loss": 1.3965, + "step": 3634 + }, + { + "epoch": 0.91, + "learning_rate": 4.5625e-06, + "loss": 1.4434, + "step": 3635 + }, + { + "epoch": 0.91, + "learning_rate": 4.5500000000000005e-06, + "loss": 1.1875, + "step": 3636 + }, + { + "epoch": 0.91, + "learning_rate": 4.5375e-06, + "loss": 1.4795, + "step": 3637 + }, + { + "epoch": 0.91, + "learning_rate": 4.525e-06, + "loss": 1.5312, + "step": 3638 + }, + { + "epoch": 0.91, + "learning_rate": 4.5125e-06, + "loss": 1.415, + "step": 3639 + }, + { + "epoch": 0.91, + "learning_rate": 4.5e-06, + "loss": 1.3281, + "step": 3640 + }, + { + "epoch": 0.91, + "learning_rate": 4.4875e-06, + "loss": 1.0889, + "step": 3641 + }, + { + "epoch": 0.91, + "learning_rate": 4.475e-06, + "loss": 1.084, + "step": 3642 + }, + { + "epoch": 0.91, + "learning_rate": 4.4625e-06, + "loss": 1.3848, + "step": 3643 + }, + { + "epoch": 0.91, + "learning_rate": 4.45e-06, + "loss": 1.6123, + "step": 3644 + }, + { + "epoch": 0.91, + "learning_rate": 4.4375e-06, + "loss": 1.0713, + "step": 3645 + }, + { + "epoch": 0.91, + "learning_rate": 4.425e-06, + "loss": 1.4453, + "step": 3646 + }, + { + "epoch": 0.91, + "learning_rate": 4.4125e-06, + "loss": 1.1543, + "step": 3647 + }, + { + "epoch": 0.91, + "learning_rate": 4.4e-06, + "loss": 1.5527, + "step": 3648 + }, + { + "epoch": 0.91, + "learning_rate": 4.3875e-06, + "loss": 1.335, + "step": 3649 + }, + { + "epoch": 0.91, + "learning_rate": 4.375e-06, + "loss": 1.2832, + "step": 3650 + }, + { + "epoch": 0.91, + "learning_rate": 4.3625e-06, + "loss": 1.3115, + "step": 3651 + }, + { + "epoch": 0.91, + "learning_rate": 4.35e-06, + "loss": 1.2881, + "step": 3652 + }, + { + "epoch": 0.91, + "learning_rate": 4.3374999999999996e-06, + "loss": 1.3477, + "step": 3653 + }, + { + "epoch": 0.91, + "learning_rate": 4.325e-06, + "loss": 1.3516, + "step": 3654 + }, + { + "epoch": 0.91, + "learning_rate": 4.3125e-06, + "loss": 1.2383, + "step": 3655 + }, + { + "epoch": 0.91, + "learning_rate": 4.2999999999999995e-06, + "loss": 0.9585, + "step": 3656 + }, + { + "epoch": 0.91, + "learning_rate": 4.287500000000001e-06, + "loss": 1.3252, + "step": 3657 + }, + { + "epoch": 0.91, + "learning_rate": 4.2750000000000006e-06, + "loss": 1.2998, + "step": 3658 + }, + { + "epoch": 0.91, + "learning_rate": 4.2625e-06, + "loss": 1.123, + "step": 3659 + }, + { + "epoch": 0.92, + "learning_rate": 4.250000000000001e-06, + "loss": 1.2217, + "step": 3660 + }, + { + "epoch": 0.92, + "learning_rate": 4.2375000000000005e-06, + "loss": 1.1582, + "step": 3661 + }, + { + "epoch": 0.92, + "learning_rate": 4.225e-06, + "loss": 1.417, + "step": 3662 + }, + { + "epoch": 0.92, + "learning_rate": 4.212500000000001e-06, + "loss": 1.1943, + "step": 3663 + }, + { + "epoch": 0.92, + "learning_rate": 4.2000000000000004e-06, + "loss": 1.2568, + "step": 3664 + }, + { + "epoch": 0.92, + "learning_rate": 4.1875e-06, + "loss": 1.2891, + "step": 3665 + }, + { + "epoch": 0.92, + "learning_rate": 4.175000000000001e-06, + "loss": 1.2021, + "step": 3666 + }, + { + "epoch": 0.92, + "learning_rate": 4.1625e-06, + "loss": 1.0068, + "step": 3667 + }, + { + "epoch": 0.92, + "learning_rate": 4.15e-06, + "loss": 1.1895, + "step": 3668 + }, + { + "epoch": 0.92, + "learning_rate": 4.137500000000001e-06, + "loss": 1.2676, + "step": 3669 + }, + { + "epoch": 0.92, + "learning_rate": 4.125e-06, + "loss": 1.1904, + "step": 3670 + }, + { + "epoch": 0.92, + "learning_rate": 4.1125e-06, + "loss": 1.2764, + "step": 3671 + }, + { + "epoch": 0.92, + "learning_rate": 4.1000000000000006e-06, + "loss": 1.1543, + "step": 3672 + }, + { + "epoch": 0.92, + "learning_rate": 4.0875e-06, + "loss": 1.4619, + "step": 3673 + }, + { + "epoch": 0.92, + "learning_rate": 4.075e-06, + "loss": 1.2109, + "step": 3674 + }, + { + "epoch": 0.92, + "learning_rate": 4.0625000000000005e-06, + "loss": 1.2363, + "step": 3675 + }, + { + "epoch": 0.92, + "learning_rate": 4.05e-06, + "loss": 1.2891, + "step": 3676 + }, + { + "epoch": 0.92, + "learning_rate": 4.037500000000001e-06, + "loss": 1.3672, + "step": 3677 + }, + { + "epoch": 0.92, + "learning_rate": 4.0250000000000004e-06, + "loss": 1.4678, + "step": 3678 + }, + { + "epoch": 0.92, + "learning_rate": 4.0125e-06, + "loss": 1.4199, + "step": 3679 + }, + { + "epoch": 0.92, + "learning_rate": 4.000000000000001e-06, + "loss": 1.0488, + "step": 3680 + }, + { + "epoch": 0.92, + "learning_rate": 3.9875e-06, + "loss": 1.2842, + "step": 3681 + }, + { + "epoch": 0.92, + "learning_rate": 3.975e-06, + "loss": 1.3535, + "step": 3682 + }, + { + "epoch": 0.92, + "learning_rate": 3.962500000000001e-06, + "loss": 1.0635, + "step": 3683 + }, + { + "epoch": 0.92, + "learning_rate": 3.95e-06, + "loss": 1.3438, + "step": 3684 + }, + { + "epoch": 0.92, + "learning_rate": 3.9375e-06, + "loss": 1.1777, + "step": 3685 + }, + { + "epoch": 0.92, + "learning_rate": 3.9250000000000005e-06, + "loss": 1.1201, + "step": 3686 + }, + { + "epoch": 0.92, + "learning_rate": 3.9125e-06, + "loss": 1.1494, + "step": 3687 + }, + { + "epoch": 0.92, + "learning_rate": 3.9e-06, + "loss": 1.0889, + "step": 3688 + }, + { + "epoch": 0.92, + "learning_rate": 3.8875000000000005e-06, + "loss": 1.3672, + "step": 3689 + }, + { + "epoch": 0.92, + "learning_rate": 3.875e-06, + "loss": 1.3799, + "step": 3690 + }, + { + "epoch": 0.92, + "learning_rate": 3.8625e-06, + "loss": 1.3711, + "step": 3691 + }, + { + "epoch": 0.92, + "learning_rate": 3.85e-06, + "loss": 1.2285, + "step": 3692 + }, + { + "epoch": 0.92, + "learning_rate": 3.8375e-06, + "loss": 1.209, + "step": 3693 + }, + { + "epoch": 0.92, + "learning_rate": 3.825e-06, + "loss": 1.1533, + "step": 3694 + }, + { + "epoch": 0.92, + "learning_rate": 3.8125e-06, + "loss": 1.1709, + "step": 3695 + }, + { + "epoch": 0.92, + "learning_rate": 3.8e-06, + "loss": 1.1348, + "step": 3696 + }, + { + "epoch": 0.92, + "learning_rate": 3.7875e-06, + "loss": 1.2549, + "step": 3697 + }, + { + "epoch": 0.92, + "learning_rate": 3.775e-06, + "loss": 1.0488, + "step": 3698 + }, + { + "epoch": 0.92, + "learning_rate": 3.7625e-06, + "loss": 1.2246, + "step": 3699 + }, + { + "epoch": 0.93, + "learning_rate": 3.75e-06, + "loss": 1.1865, + "step": 3700 + }, + { + "epoch": 0.93, + "learning_rate": 3.7375000000000002e-06, + "loss": 1.1621, + "step": 3701 + }, + { + "epoch": 0.93, + "learning_rate": 3.725e-06, + "loss": 1.332, + "step": 3702 + }, + { + "epoch": 0.93, + "learning_rate": 3.7125e-06, + "loss": 1.04, + "step": 3703 + }, + { + "epoch": 0.93, + "learning_rate": 3.7e-06, + "loss": 1.3096, + "step": 3704 + }, + { + "epoch": 0.93, + "learning_rate": 3.6875e-06, + "loss": 1.2959, + "step": 3705 + }, + { + "epoch": 0.93, + "learning_rate": 3.675e-06, + "loss": 1.3584, + "step": 3706 + }, + { + "epoch": 0.93, + "learning_rate": 3.6625e-06, + "loss": 1.2441, + "step": 3707 + }, + { + "epoch": 0.93, + "learning_rate": 3.6499999999999998e-06, + "loss": 1.1328, + "step": 3708 + }, + { + "epoch": 0.93, + "learning_rate": 3.6375e-06, + "loss": 1.4717, + "step": 3709 + }, + { + "epoch": 0.93, + "learning_rate": 3.625e-06, + "loss": 1.3613, + "step": 3710 + }, + { + "epoch": 0.93, + "learning_rate": 3.6124999999999997e-06, + "loss": 1.2188, + "step": 3711 + }, + { + "epoch": 0.93, + "learning_rate": 3.6e-06, + "loss": 1.1768, + "step": 3712 + }, + { + "epoch": 0.93, + "learning_rate": 3.5875e-06, + "loss": 1.124, + "step": 3713 + }, + { + "epoch": 0.93, + "learning_rate": 3.575e-06, + "loss": 1.2852, + "step": 3714 + }, + { + "epoch": 0.93, + "learning_rate": 3.5624999999999998e-06, + "loss": 1.292, + "step": 3715 + }, + { + "epoch": 0.93, + "learning_rate": 3.55e-06, + "loss": 1.2891, + "step": 3716 + }, + { + "epoch": 0.93, + "learning_rate": 3.5375e-06, + "loss": 1.2646, + "step": 3717 + }, + { + "epoch": 0.93, + "learning_rate": 3.5249999999999997e-06, + "loss": 1.2197, + "step": 3718 + }, + { + "epoch": 0.93, + "learning_rate": 3.5125000000000007e-06, + "loss": 1.46, + "step": 3719 + }, + { + "epoch": 0.93, + "learning_rate": 3.5000000000000004e-06, + "loss": 1.5762, + "step": 3720 + }, + { + "epoch": 0.93, + "learning_rate": 3.4875000000000005e-06, + "loss": 1.4287, + "step": 3721 + }, + { + "epoch": 0.93, + "learning_rate": 3.4750000000000006e-06, + "loss": 1.2949, + "step": 3722 + }, + { + "epoch": 0.93, + "learning_rate": 3.4625000000000003e-06, + "loss": 1.0547, + "step": 3723 + }, + { + "epoch": 0.93, + "learning_rate": 3.4500000000000004e-06, + "loss": 1.3066, + "step": 3724 + }, + { + "epoch": 0.93, + "learning_rate": 3.4375000000000005e-06, + "loss": 1.2559, + "step": 3725 + }, + { + "epoch": 0.93, + "learning_rate": 3.4250000000000002e-06, + "loss": 1.2959, + "step": 3726 + }, + { + "epoch": 0.93, + "learning_rate": 3.4125000000000004e-06, + "loss": 1.3369, + "step": 3727 + }, + { + "epoch": 0.93, + "learning_rate": 3.4000000000000005e-06, + "loss": 1.2051, + "step": 3728 + }, + { + "epoch": 0.93, + "learning_rate": 3.3875000000000006e-06, + "loss": 1.5889, + "step": 3729 + }, + { + "epoch": 0.93, + "learning_rate": 3.3750000000000003e-06, + "loss": 1.2676, + "step": 3730 + }, + { + "epoch": 0.93, + "learning_rate": 3.3625000000000004e-06, + "loss": 1.4492, + "step": 3731 + }, + { + "epoch": 0.93, + "learning_rate": 3.3500000000000005e-06, + "loss": 1.2988, + "step": 3732 + }, + { + "epoch": 0.93, + "learning_rate": 3.3375000000000002e-06, + "loss": 1.1553, + "step": 3733 + }, + { + "epoch": 0.93, + "learning_rate": 3.3250000000000004e-06, + "loss": 1.3574, + "step": 3734 + }, + { + "epoch": 0.93, + "learning_rate": 3.3125000000000005e-06, + "loss": 1.0449, + "step": 3735 + }, + { + "epoch": 0.93, + "learning_rate": 3.3e-06, + "loss": 1.4512, + "step": 3736 + }, + { + "epoch": 0.93, + "learning_rate": 3.2875000000000003e-06, + "loss": 1.1143, + "step": 3737 + }, + { + "epoch": 0.93, + "learning_rate": 3.2750000000000004e-06, + "loss": 1.2656, + "step": 3738 + }, + { + "epoch": 0.93, + "learning_rate": 3.2625e-06, + "loss": 1.2695, + "step": 3739 + }, + { + "epoch": 0.94, + "learning_rate": 3.2500000000000002e-06, + "loss": 1.3389, + "step": 3740 + }, + { + "epoch": 0.94, + "learning_rate": 3.2375000000000003e-06, + "loss": 1.4863, + "step": 3741 + }, + { + "epoch": 0.94, + "learning_rate": 3.225e-06, + "loss": 1.2119, + "step": 3742 + }, + { + "epoch": 0.94, + "learning_rate": 3.2125e-06, + "loss": 1.043, + "step": 3743 + }, + { + "epoch": 0.94, + "learning_rate": 3.2000000000000003e-06, + "loss": 1.2002, + "step": 3744 + }, + { + "epoch": 0.94, + "learning_rate": 3.1875000000000004e-06, + "loss": 1.2334, + "step": 3745 + }, + { + "epoch": 0.94, + "learning_rate": 3.175e-06, + "loss": 1.2334, + "step": 3746 + }, + { + "epoch": 0.94, + "learning_rate": 3.1625000000000002e-06, + "loss": 1.1602, + "step": 3747 + }, + { + "epoch": 0.94, + "learning_rate": 3.1500000000000003e-06, + "loss": 1.2988, + "step": 3748 + }, + { + "epoch": 0.94, + "learning_rate": 3.1375e-06, + "loss": 1.2383, + "step": 3749 + }, + { + "epoch": 0.94, + "learning_rate": 3.125e-06, + "loss": 1.3154, + "step": 3750 + }, + { + "epoch": 0.94, + "learning_rate": 3.1125000000000003e-06, + "loss": 1.2764, + "step": 3751 + }, + { + "epoch": 0.94, + "learning_rate": 3.1e-06, + "loss": 1.1846, + "step": 3752 + }, + { + "epoch": 0.94, + "learning_rate": 3.0875e-06, + "loss": 1.3994, + "step": 3753 + }, + { + "epoch": 0.94, + "learning_rate": 3.075e-06, + "loss": 1.252, + "step": 3754 + }, + { + "epoch": 0.94, + "learning_rate": 3.0625e-06, + "loss": 1.168, + "step": 3755 + }, + { + "epoch": 0.94, + "learning_rate": 3.05e-06, + "loss": 1.1104, + "step": 3756 + }, + { + "epoch": 0.94, + "learning_rate": 3.0375e-06, + "loss": 1.291, + "step": 3757 + }, + { + "epoch": 0.94, + "learning_rate": 3.0250000000000003e-06, + "loss": 1.4141, + "step": 3758 + }, + { + "epoch": 0.94, + "learning_rate": 3.0125e-06, + "loss": 1.3926, + "step": 3759 + }, + { + "epoch": 0.94, + "learning_rate": 3e-06, + "loss": 1.373, + "step": 3760 + }, + { + "epoch": 0.94, + "learning_rate": 2.9875e-06, + "loss": 1.1992, + "step": 3761 + }, + { + "epoch": 0.94, + "learning_rate": 2.975e-06, + "loss": 1.4443, + "step": 3762 + }, + { + "epoch": 0.94, + "learning_rate": 2.9625e-06, + "loss": 1.2168, + "step": 3763 + }, + { + "epoch": 0.94, + "learning_rate": 2.95e-06, + "loss": 1.4863, + "step": 3764 + }, + { + "epoch": 0.94, + "learning_rate": 2.9375e-06, + "loss": 1.2666, + "step": 3765 + }, + { + "epoch": 0.94, + "learning_rate": 2.9250000000000004e-06, + "loss": 1.2559, + "step": 3766 + }, + { + "epoch": 0.94, + "learning_rate": 2.9125000000000005e-06, + "loss": 1.3779, + "step": 3767 + }, + { + "epoch": 0.94, + "learning_rate": 2.9e-06, + "loss": 1.3389, + "step": 3768 + }, + { + "epoch": 0.94, + "learning_rate": 2.8875000000000003e-06, + "loss": 1.1641, + "step": 3769 + }, + { + "epoch": 0.94, + "learning_rate": 2.8750000000000004e-06, + "loss": 1.5107, + "step": 3770 + }, + { + "epoch": 0.94, + "learning_rate": 2.8625e-06, + "loss": 1.6729, + "step": 3771 + }, + { + "epoch": 0.94, + "learning_rate": 2.8500000000000002e-06, + "loss": 1.4609, + "step": 3772 + }, + { + "epoch": 0.94, + "learning_rate": 2.8375000000000004e-06, + "loss": 1.4033, + "step": 3773 + }, + { + "epoch": 0.94, + "learning_rate": 2.825e-06, + "loss": 1.0898, + "step": 3774 + }, + { + "epoch": 0.94, + "learning_rate": 2.8125e-06, + "loss": 1.1787, + "step": 3775 + }, + { + "epoch": 0.94, + "learning_rate": 2.8000000000000003e-06, + "loss": 1.3369, + "step": 3776 + }, + { + "epoch": 0.94, + "learning_rate": 2.7875e-06, + "loss": 1.3555, + "step": 3777 + }, + { + "epoch": 0.94, + "learning_rate": 2.775e-06, + "loss": 1.3682, + "step": 3778 + }, + { + "epoch": 0.94, + "learning_rate": 2.7625000000000002e-06, + "loss": 1.4492, + "step": 3779 + }, + { + "epoch": 0.94, + "learning_rate": 2.7500000000000004e-06, + "loss": 1.3662, + "step": 3780 + }, + { + "epoch": 0.95, + "learning_rate": 2.7375e-06, + "loss": 1.4746, + "step": 3781 + }, + { + "epoch": 0.95, + "learning_rate": 2.725e-06, + "loss": 1.4502, + "step": 3782 + }, + { + "epoch": 0.95, + "learning_rate": 2.7125000000000003e-06, + "loss": 1.084, + "step": 3783 + }, + { + "epoch": 0.95, + "learning_rate": 2.7e-06, + "loss": 1.3223, + "step": 3784 + }, + { + "epoch": 0.95, + "learning_rate": 2.6875e-06, + "loss": 1.2441, + "step": 3785 + }, + { + "epoch": 0.95, + "learning_rate": 2.6750000000000002e-06, + "loss": 1.2471, + "step": 3786 + }, + { + "epoch": 0.95, + "learning_rate": 2.6625e-06, + "loss": 1.1885, + "step": 3787 + }, + { + "epoch": 0.95, + "learning_rate": 2.65e-06, + "loss": 1.0996, + "step": 3788 + }, + { + "epoch": 0.95, + "learning_rate": 2.6375e-06, + "loss": 1.4619, + "step": 3789 + }, + { + "epoch": 0.95, + "learning_rate": 2.625e-06, + "loss": 1.4902, + "step": 3790 + }, + { + "epoch": 0.95, + "learning_rate": 2.6125e-06, + "loss": 1.3311, + "step": 3791 + }, + { + "epoch": 0.95, + "learning_rate": 2.6e-06, + "loss": 1.2539, + "step": 3792 + }, + { + "epoch": 0.95, + "learning_rate": 2.5875e-06, + "loss": 1.207, + "step": 3793 + }, + { + "epoch": 0.95, + "learning_rate": 2.575e-06, + "loss": 1.2402, + "step": 3794 + }, + { + "epoch": 0.95, + "learning_rate": 2.5625e-06, + "loss": 1.2656, + "step": 3795 + }, + { + "epoch": 0.95, + "learning_rate": 2.55e-06, + "loss": 1.3477, + "step": 3796 + }, + { + "epoch": 0.95, + "learning_rate": 2.5375000000000003e-06, + "loss": 1.3359, + "step": 3797 + }, + { + "epoch": 0.95, + "learning_rate": 2.5250000000000004e-06, + "loss": 1.5078, + "step": 3798 + }, + { + "epoch": 0.95, + "learning_rate": 2.5125e-06, + "loss": 1.2354, + "step": 3799 + }, + { + "epoch": 0.95, + "learning_rate": 2.5e-06, + "loss": 1.3281, + "step": 3800 + }, + { + "epoch": 0.95, + "learning_rate": 2.4875000000000003e-06, + "loss": 1.3818, + "step": 3801 + }, + { + "epoch": 0.95, + "learning_rate": 2.4750000000000004e-06, + "loss": 1.3828, + "step": 3802 + }, + { + "epoch": 0.95, + "learning_rate": 2.4625e-06, + "loss": 1.0039, + "step": 3803 + }, + { + "epoch": 0.95, + "learning_rate": 2.4500000000000003e-06, + "loss": 0.9927, + "step": 3804 + }, + { + "epoch": 0.95, + "learning_rate": 2.4375000000000004e-06, + "loss": 1.0088, + "step": 3805 + }, + { + "epoch": 0.95, + "learning_rate": 2.425e-06, + "loss": 1.2783, + "step": 3806 + }, + { + "epoch": 0.95, + "learning_rate": 2.4125e-06, + "loss": 0.9819, + "step": 3807 + }, + { + "epoch": 0.95, + "learning_rate": 2.4000000000000003e-06, + "loss": 1.3262, + "step": 3808 + }, + { + "epoch": 0.95, + "learning_rate": 2.3875e-06, + "loss": 1.3252, + "step": 3809 + }, + { + "epoch": 0.95, + "learning_rate": 2.375e-06, + "loss": 1.0264, + "step": 3810 + }, + { + "epoch": 0.95, + "learning_rate": 2.3625000000000003e-06, + "loss": 1.0664, + "step": 3811 + }, + { + "epoch": 0.95, + "learning_rate": 2.35e-06, + "loss": 1.0996, + "step": 3812 + }, + { + "epoch": 0.95, + "learning_rate": 2.3375e-06, + "loss": 1.1348, + "step": 3813 + }, + { + "epoch": 0.95, + "learning_rate": 2.325e-06, + "loss": 1.3252, + "step": 3814 + }, + { + "epoch": 0.95, + "learning_rate": 2.3125e-06, + "loss": 1.2949, + "step": 3815 + }, + { + "epoch": 0.95, + "learning_rate": 2.3e-06, + "loss": 1.3857, + "step": 3816 + }, + { + "epoch": 0.95, + "learning_rate": 2.2875e-06, + "loss": 1.3184, + "step": 3817 + }, + { + "epoch": 0.95, + "learning_rate": 2.2750000000000002e-06, + "loss": 1.293, + "step": 3818 + }, + { + "epoch": 0.95, + "learning_rate": 2.2625e-06, + "loss": 1.4854, + "step": 3819 + }, + { + "epoch": 0.95, + "learning_rate": 2.25e-06, + "loss": 1.0645, + "step": 3820 + }, + { + "epoch": 0.96, + "learning_rate": 2.2375e-06, + "loss": 1.2246, + "step": 3821 + }, + { + "epoch": 0.96, + "learning_rate": 2.225e-06, + "loss": 1.418, + "step": 3822 + }, + { + "epoch": 0.96, + "learning_rate": 2.2125e-06, + "loss": 1.3613, + "step": 3823 + }, + { + "epoch": 0.96, + "learning_rate": 2.2e-06, + "loss": 1.4756, + "step": 3824 + }, + { + "epoch": 0.96, + "learning_rate": 2.1875e-06, + "loss": 1.2256, + "step": 3825 + }, + { + "epoch": 0.96, + "learning_rate": 2.175e-06, + "loss": 1.1406, + "step": 3826 + }, + { + "epoch": 0.96, + "learning_rate": 2.1625e-06, + "loss": 1.2148, + "step": 3827 + }, + { + "epoch": 0.96, + "learning_rate": 2.1499999999999997e-06, + "loss": 1.3506, + "step": 3828 + }, + { + "epoch": 0.96, + "learning_rate": 2.1375000000000003e-06, + "loss": 1.2285, + "step": 3829 + }, + { + "epoch": 0.96, + "learning_rate": 2.1250000000000004e-06, + "loss": 1.2881, + "step": 3830 + }, + { + "epoch": 0.96, + "learning_rate": 2.1125e-06, + "loss": 1.4102, + "step": 3831 + }, + { + "epoch": 0.96, + "learning_rate": 2.1000000000000002e-06, + "loss": 1.3613, + "step": 3832 + }, + { + "epoch": 0.96, + "learning_rate": 2.0875000000000003e-06, + "loss": 1.417, + "step": 3833 + }, + { + "epoch": 0.96, + "learning_rate": 2.075e-06, + "loss": 1.2607, + "step": 3834 + }, + { + "epoch": 0.96, + "learning_rate": 2.0625e-06, + "loss": 1.1934, + "step": 3835 + }, + { + "epoch": 0.96, + "learning_rate": 2.0500000000000003e-06, + "loss": 1.3535, + "step": 3836 + }, + { + "epoch": 0.96, + "learning_rate": 2.0375e-06, + "loss": 1.2998, + "step": 3837 + }, + { + "epoch": 0.96, + "learning_rate": 2.025e-06, + "loss": 1.3965, + "step": 3838 + }, + { + "epoch": 0.96, + "learning_rate": 2.0125000000000002e-06, + "loss": 1.0449, + "step": 3839 + }, + { + "epoch": 0.96, + "learning_rate": 2.0000000000000003e-06, + "loss": 1.2246, + "step": 3840 + }, + { + "epoch": 0.96, + "learning_rate": 1.9875e-06, + "loss": 1.0557, + "step": 3841 + }, + { + "epoch": 0.96, + "learning_rate": 1.975e-06, + "loss": 1.4668, + "step": 3842 + }, + { + "epoch": 0.96, + "learning_rate": 1.9625000000000003e-06, + "loss": 1.1699, + "step": 3843 + }, + { + "epoch": 0.96, + "learning_rate": 1.95e-06, + "loss": 1.3848, + "step": 3844 + }, + { + "epoch": 0.96, + "learning_rate": 1.9375e-06, + "loss": 1.333, + "step": 3845 + }, + { + "epoch": 0.96, + "learning_rate": 1.925e-06, + "loss": 1.2119, + "step": 3846 + }, + { + "epoch": 0.96, + "learning_rate": 1.9125e-06, + "loss": 1.3311, + "step": 3847 + }, + { + "epoch": 0.96, + "learning_rate": 1.9e-06, + "loss": 1.3037, + "step": 3848 + }, + { + "epoch": 0.96, + "learning_rate": 1.8875e-06, + "loss": 1.333, + "step": 3849 + }, + { + "epoch": 0.96, + "learning_rate": 1.875e-06, + "loss": 1.1738, + "step": 3850 + }, + { + "epoch": 0.96, + "learning_rate": 1.8625e-06, + "loss": 1.1816, + "step": 3851 + }, + { + "epoch": 0.96, + "learning_rate": 1.85e-06, + "loss": 1.1045, + "step": 3852 + }, + { + "epoch": 0.96, + "learning_rate": 1.8375e-06, + "loss": 1.0771, + "step": 3853 + }, + { + "epoch": 0.96, + "learning_rate": 1.8249999999999999e-06, + "loss": 1.3105, + "step": 3854 + }, + { + "epoch": 0.96, + "learning_rate": 1.8125e-06, + "loss": 1.123, + "step": 3855 + }, + { + "epoch": 0.96, + "learning_rate": 1.8e-06, + "loss": 1.0811, + "step": 3856 + }, + { + "epoch": 0.96, + "learning_rate": 1.7875e-06, + "loss": 1.3984, + "step": 3857 + }, + { + "epoch": 0.96, + "learning_rate": 1.775e-06, + "loss": 1.2549, + "step": 3858 + }, + { + "epoch": 0.96, + "learning_rate": 1.7624999999999999e-06, + "loss": 1.1787, + "step": 3859 + }, + { + "epoch": 0.96, + "learning_rate": 1.7500000000000002e-06, + "loss": 1.21, + "step": 3860 + }, + { + "epoch": 0.97, + "learning_rate": 1.7375000000000003e-06, + "loss": 1.5391, + "step": 3861 + }, + { + "epoch": 0.97, + "learning_rate": 1.7250000000000002e-06, + "loss": 1.3799, + "step": 3862 + }, + { + "epoch": 0.97, + "learning_rate": 1.7125000000000001e-06, + "loss": 1.1201, + "step": 3863 + }, + { + "epoch": 0.97, + "learning_rate": 1.7000000000000002e-06, + "loss": 1.1396, + "step": 3864 + }, + { + "epoch": 0.97, + "learning_rate": 1.6875000000000001e-06, + "loss": 1.2822, + "step": 3865 + }, + { + "epoch": 0.97, + "learning_rate": 1.6750000000000003e-06, + "loss": 1.1436, + "step": 3866 + }, + { + "epoch": 0.97, + "learning_rate": 1.6625000000000002e-06, + "loss": 1.1953, + "step": 3867 + }, + { + "epoch": 0.97, + "learning_rate": 1.65e-06, + "loss": 1.2012, + "step": 3868 + }, + { + "epoch": 0.97, + "learning_rate": 1.6375000000000002e-06, + "loss": 1.1992, + "step": 3869 + }, + { + "epoch": 0.97, + "learning_rate": 1.6250000000000001e-06, + "loss": 1.2686, + "step": 3870 + }, + { + "epoch": 0.97, + "learning_rate": 1.6125e-06, + "loss": 1.2441, + "step": 3871 + }, + { + "epoch": 0.97, + "learning_rate": 1.6000000000000001e-06, + "loss": 1.2842, + "step": 3872 + }, + { + "epoch": 0.97, + "learning_rate": 1.5875e-06, + "loss": 1.4326, + "step": 3873 + }, + { + "epoch": 0.97, + "learning_rate": 1.5750000000000002e-06, + "loss": 1.248, + "step": 3874 + }, + { + "epoch": 0.97, + "learning_rate": 1.5625e-06, + "loss": 0.9229, + "step": 3875 + }, + { + "epoch": 0.97, + "learning_rate": 1.55e-06, + "loss": 1.3838, + "step": 3876 + }, + { + "epoch": 0.97, + "learning_rate": 1.5375e-06, + "loss": 1.418, + "step": 3877 + }, + { + "epoch": 0.97, + "learning_rate": 1.525e-06, + "loss": 1.2959, + "step": 3878 + }, + { + "epoch": 0.97, + "learning_rate": 1.5125000000000001e-06, + "loss": 1.0225, + "step": 3879 + }, + { + "epoch": 0.97, + "learning_rate": 1.5e-06, + "loss": 1.2207, + "step": 3880 + }, + { + "epoch": 0.97, + "learning_rate": 1.4875e-06, + "loss": 1.3359, + "step": 3881 + }, + { + "epoch": 0.97, + "learning_rate": 1.475e-06, + "loss": 1.2246, + "step": 3882 + }, + { + "epoch": 0.97, + "learning_rate": 1.4625000000000002e-06, + "loss": 1.1445, + "step": 3883 + }, + { + "epoch": 0.97, + "learning_rate": 1.45e-06, + "loss": 1.3145, + "step": 3884 + }, + { + "epoch": 0.97, + "learning_rate": 1.4375000000000002e-06, + "loss": 1.3447, + "step": 3885 + }, + { + "epoch": 0.97, + "learning_rate": 1.4250000000000001e-06, + "loss": 1.4814, + "step": 3886 + }, + { + "epoch": 0.97, + "learning_rate": 1.4125e-06, + "loss": 1.1943, + "step": 3887 + }, + { + "epoch": 0.97, + "learning_rate": 1.4000000000000001e-06, + "loss": 1.2383, + "step": 3888 + }, + { + "epoch": 0.97, + "learning_rate": 1.3875e-06, + "loss": 1.6289, + "step": 3889 + }, + { + "epoch": 0.97, + "learning_rate": 1.3750000000000002e-06, + "loss": 1.3096, + "step": 3890 + }, + { + "epoch": 0.97, + "learning_rate": 1.3625e-06, + "loss": 1.2725, + "step": 3891 + }, + { + "epoch": 0.97, + "learning_rate": 1.35e-06, + "loss": 1.0146, + "step": 3892 + }, + { + "epoch": 0.97, + "learning_rate": 1.3375000000000001e-06, + "loss": 1.248, + "step": 3893 + }, + { + "epoch": 0.97, + "learning_rate": 1.325e-06, + "loss": 1.248, + "step": 3894 + }, + { + "epoch": 0.97, + "learning_rate": 1.3125e-06, + "loss": 1.2939, + "step": 3895 + }, + { + "epoch": 0.97, + "learning_rate": 1.3e-06, + "loss": 1.2373, + "step": 3896 + }, + { + "epoch": 0.97, + "learning_rate": 1.2875e-06, + "loss": 1.6025, + "step": 3897 + }, + { + "epoch": 0.97, + "learning_rate": 1.275e-06, + "loss": 1.2646, + "step": 3898 + }, + { + "epoch": 0.97, + "learning_rate": 1.2625000000000002e-06, + "loss": 1.0723, + "step": 3899 + }, + { + "epoch": 0.97, + "learning_rate": 1.25e-06, + "loss": 1.4121, + "step": 3900 + }, + { + "epoch": 0.98, + "learning_rate": 1.2375000000000002e-06, + "loss": 1.5176, + "step": 3901 + }, + { + "epoch": 0.98, + "learning_rate": 1.2250000000000001e-06, + "loss": 1.5586, + "step": 3902 + }, + { + "epoch": 0.98, + "learning_rate": 1.2125e-06, + "loss": 1.418, + "step": 3903 + }, + { + "epoch": 0.98, + "learning_rate": 1.2000000000000002e-06, + "loss": 1.4131, + "step": 3904 + }, + { + "epoch": 0.98, + "learning_rate": 1.1875e-06, + "loss": 1.0273, + "step": 3905 + }, + { + "epoch": 0.98, + "learning_rate": 1.175e-06, + "loss": 1.1084, + "step": 3906 + }, + { + "epoch": 0.98, + "learning_rate": 1.1625e-06, + "loss": 1.1436, + "step": 3907 + }, + { + "epoch": 0.98, + "learning_rate": 1.15e-06, + "loss": 0.8188, + "step": 3908 + }, + { + "epoch": 0.98, + "learning_rate": 1.1375000000000001e-06, + "loss": 1.0283, + "step": 3909 + }, + { + "epoch": 0.98, + "learning_rate": 1.125e-06, + "loss": 1.2119, + "step": 3910 + }, + { + "epoch": 0.98, + "learning_rate": 1.1125e-06, + "loss": 1.3271, + "step": 3911 + }, + { + "epoch": 0.98, + "learning_rate": 1.1e-06, + "loss": 1.2979, + "step": 3912 + }, + { + "epoch": 0.98, + "learning_rate": 1.0875e-06, + "loss": 1.3213, + "step": 3913 + }, + { + "epoch": 0.98, + "learning_rate": 1.0749999999999999e-06, + "loss": 1.5889, + "step": 3914 + }, + { + "epoch": 0.98, + "learning_rate": 1.0625000000000002e-06, + "loss": 1.0137, + "step": 3915 + }, + { + "epoch": 0.98, + "learning_rate": 1.0500000000000001e-06, + "loss": 1.2217, + "step": 3916 + }, + { + "epoch": 0.98, + "learning_rate": 1.0375e-06, + "loss": 1.5049, + "step": 3917 + }, + { + "epoch": 0.98, + "learning_rate": 1.0250000000000001e-06, + "loss": 1.2471, + "step": 3918 + }, + { + "epoch": 0.98, + "learning_rate": 1.0125e-06, + "loss": 1.334, + "step": 3919 + }, + { + "epoch": 0.98, + "learning_rate": 1.0000000000000002e-06, + "loss": 1.2021, + "step": 3920 + }, + { + "epoch": 0.98, + "learning_rate": 9.875e-07, + "loss": 1.3145, + "step": 3921 + }, + { + "epoch": 0.98, + "learning_rate": 9.75e-07, + "loss": 1.2441, + "step": 3922 + }, + { + "epoch": 0.98, + "learning_rate": 9.625e-07, + "loss": 1.3389, + "step": 3923 + }, + { + "epoch": 0.98, + "learning_rate": 9.5e-07, + "loss": 1.3398, + "step": 3924 + }, + { + "epoch": 0.98, + "learning_rate": 9.375e-07, + "loss": 1.2734, + "step": 3925 + }, + { + "epoch": 0.98, + "learning_rate": 9.25e-07, + "loss": 1.3096, + "step": 3926 + }, + { + "epoch": 0.98, + "learning_rate": 9.124999999999999e-07, + "loss": 1.167, + "step": 3927 + }, + { + "epoch": 0.98, + "learning_rate": 9e-07, + "loss": 1.25, + "step": 3928 + }, + { + "epoch": 0.98, + "learning_rate": 8.875e-07, + "loss": 1.1689, + "step": 3929 + }, + { + "epoch": 0.98, + "learning_rate": 8.750000000000001e-07, + "loss": 1.127, + "step": 3930 + }, + { + "epoch": 0.98, + "learning_rate": 8.625000000000001e-07, + "loss": 1.3291, + "step": 3931 + }, + { + "epoch": 0.98, + "learning_rate": 8.500000000000001e-07, + "loss": 1.5127, + "step": 3932 + }, + { + "epoch": 0.98, + "learning_rate": 8.375000000000001e-07, + "loss": 1.2793, + "step": 3933 + }, + { + "epoch": 0.98, + "learning_rate": 8.25e-07, + "loss": 1.2256, + "step": 3934 + }, + { + "epoch": 0.98, + "learning_rate": 8.125000000000001e-07, + "loss": 0.9551, + "step": 3935 + }, + { + "epoch": 0.98, + "learning_rate": 8.000000000000001e-07, + "loss": 1.2109, + "step": 3936 + }, + { + "epoch": 0.98, + "learning_rate": 7.875000000000001e-07, + "loss": 1.29, + "step": 3937 + }, + { + "epoch": 0.98, + "learning_rate": 7.75e-07, + "loss": 1.0986, + "step": 3938 + }, + { + "epoch": 0.98, + "learning_rate": 7.625e-07, + "loss": 1.2354, + "step": 3939 + }, + { + "epoch": 0.98, + "learning_rate": 7.5e-07, + "loss": 1.3447, + "step": 3940 + }, + { + "epoch": 0.99, + "learning_rate": 7.375e-07, + "loss": 1.0684, + "step": 3941 + }, + { + "epoch": 0.99, + "learning_rate": 7.25e-07, + "loss": 1.3711, + "step": 3942 + }, + { + "epoch": 0.99, + "learning_rate": 7.125000000000001e-07, + "loss": 1.1572, + "step": 3943 + }, + { + "epoch": 0.99, + "learning_rate": 7.000000000000001e-07, + "loss": 1.1396, + "step": 3944 + }, + { + "epoch": 0.99, + "learning_rate": 6.875000000000001e-07, + "loss": 1.2822, + "step": 3945 + }, + { + "epoch": 0.99, + "learning_rate": 6.75e-07, + "loss": 1.1562, + "step": 3946 + }, + { + "epoch": 0.99, + "learning_rate": 6.625e-07, + "loss": 1.2549, + "step": 3947 + }, + { + "epoch": 0.99, + "learning_rate": 6.5e-07, + "loss": 1.1582, + "step": 3948 + }, + { + "epoch": 0.99, + "learning_rate": 6.375e-07, + "loss": 1.3613, + "step": 3949 + }, + { + "epoch": 0.99, + "learning_rate": 6.25e-07, + "loss": 1.1768, + "step": 3950 + }, + { + "epoch": 0.99, + "learning_rate": 6.125000000000001e-07, + "loss": 1.3281, + "step": 3951 + }, + { + "epoch": 0.99, + "learning_rate": 6.000000000000001e-07, + "loss": 1.1309, + "step": 3952 + }, + { + "epoch": 0.99, + "learning_rate": 5.875e-07, + "loss": 1.2266, + "step": 3953 + }, + { + "epoch": 0.99, + "learning_rate": 5.75e-07, + "loss": 1.4609, + "step": 3954 + }, + { + "epoch": 0.99, + "learning_rate": 5.625e-07, + "loss": 1.291, + "step": 3955 + }, + { + "epoch": 0.99, + "learning_rate": 5.5e-07, + "loss": 1.4795, + "step": 3956 + }, + { + "epoch": 0.99, + "learning_rate": 5.374999999999999e-07, + "loss": 1.1787, + "step": 3957 + }, + { + "epoch": 0.99, + "learning_rate": 5.250000000000001e-07, + "loss": 1.4355, + "step": 3958 + }, + { + "epoch": 0.99, + "learning_rate": 5.125000000000001e-07, + "loss": 1.2871, + "step": 3959 + }, + { + "epoch": 0.99, + "learning_rate": 5.000000000000001e-07, + "loss": 1.2705, + "step": 3960 + }, + { + "epoch": 0.99, + "learning_rate": 4.875e-07, + "loss": 1.1621, + "step": 3961 + }, + { + "epoch": 0.99, + "learning_rate": 4.75e-07, + "loss": 1.0898, + "step": 3962 + }, + { + "epoch": 0.99, + "learning_rate": 4.625e-07, + "loss": 1.3193, + "step": 3963 + }, + { + "epoch": 0.99, + "learning_rate": 4.5e-07, + "loss": 1.2773, + "step": 3964 + }, + { + "epoch": 0.99, + "learning_rate": 4.3750000000000005e-07, + "loss": 1.3633, + "step": 3965 + }, + { + "epoch": 0.99, + "learning_rate": 4.2500000000000006e-07, + "loss": 1.3447, + "step": 3966 + }, + { + "epoch": 0.99, + "learning_rate": 4.125e-07, + "loss": 1.583, + "step": 3967 + }, + { + "epoch": 0.99, + "learning_rate": 4.0000000000000003e-07, + "loss": 1.3125, + "step": 3968 + }, + { + "epoch": 0.99, + "learning_rate": 3.875e-07, + "loss": 1.252, + "step": 3969 + }, + { + "epoch": 0.99, + "learning_rate": 3.75e-07, + "loss": 1.3906, + "step": 3970 + }, + { + "epoch": 0.99, + "learning_rate": 3.625e-07, + "loss": 1.1475, + "step": 3971 + }, + { + "epoch": 0.99, + "learning_rate": 3.5000000000000004e-07, + "loss": 1.1514, + "step": 3972 + }, + { + "epoch": 0.99, + "learning_rate": 3.375e-07, + "loss": 1.1504, + "step": 3973 + }, + { + "epoch": 0.99, + "learning_rate": 3.25e-07, + "loss": 1.0762, + "step": 3974 + }, + { + "epoch": 0.99, + "learning_rate": 3.125e-07, + "loss": 1.2246, + "step": 3975 + }, + { + "epoch": 0.99, + "learning_rate": 3.0000000000000004e-07, + "loss": 1.3662, + "step": 3976 + }, + { + "epoch": 0.99, + "learning_rate": 2.875e-07, + "loss": 1.2119, + "step": 3977 + }, + { + "epoch": 0.99, + "learning_rate": 2.75e-07, + "loss": 1.1064, + "step": 3978 + }, + { + "epoch": 0.99, + "learning_rate": 2.6250000000000003e-07, + "loss": 1.1475, + "step": 3979 + }, + { + "epoch": 0.99, + "learning_rate": 2.5000000000000004e-07, + "loss": 1.0459, + "step": 3980 + }, + { + "epoch": 1.0, + "learning_rate": 2.375e-07, + "loss": 1.3818, + "step": 3981 + }, + { + "epoch": 1.0, + "learning_rate": 2.25e-07, + "loss": 1.6777, + "step": 3982 + }, + { + "epoch": 1.0, + "learning_rate": 2.1250000000000003e-07, + "loss": 1.3271, + "step": 3983 + }, + { + "epoch": 1.0, + "learning_rate": 2.0000000000000002e-07, + "loss": 1.2764, + "step": 3984 + }, + { + "epoch": 1.0, + "learning_rate": 1.875e-07, + "loss": 1.1172, + "step": 3985 + }, + { + "epoch": 1.0, + "learning_rate": 1.7500000000000002e-07, + "loss": 1.1182, + "step": 3986 + }, + { + "epoch": 1.0, + "learning_rate": 1.625e-07, + "loss": 1.3701, + "step": 3987 + }, + { + "epoch": 1.0, + "learning_rate": 1.5000000000000002e-07, + "loss": 1.5996, + "step": 3988 + }, + { + "epoch": 1.0, + "learning_rate": 1.375e-07, + "loss": 1.3115, + "step": 3989 + }, + { + "epoch": 1.0, + "learning_rate": 1.2500000000000002e-07, + "loss": 1.1465, + "step": 3990 + }, + { + "epoch": 1.0, + "learning_rate": 1.125e-07, + "loss": 1.4287, + "step": 3991 + }, + { + "epoch": 1.0, + "learning_rate": 1.0000000000000001e-07, + "loss": 1.5225, + "step": 3992 + }, + { + "epoch": 1.0, + "learning_rate": 8.750000000000001e-08, + "loss": 1.165, + "step": 3993 + }, + { + "epoch": 1.0, + "learning_rate": 7.500000000000001e-08, + "loss": 1.2617, + "step": 3994 + }, + { + "epoch": 1.0, + "learning_rate": 6.250000000000001e-08, + "loss": 0.9238, + "step": 3995 + }, + { + "epoch": 1.0, + "learning_rate": 5.0000000000000004e-08, + "loss": 1.2441, + "step": 3996 + }, + { + "epoch": 1.0, + "learning_rate": 3.7500000000000005e-08, + "loss": 1.749, + "step": 3997 + }, + { + "epoch": 1.0, + "learning_rate": 2.5000000000000002e-08, + "loss": 1.0469, + "step": 3998 + }, + { + "epoch": 1.0, + "learning_rate": 1.2500000000000001e-08, + "loss": 1.2432, + "step": 3999 + }, + { + "epoch": 1.0, + "learning_rate": 0.0, + "loss": 1.2295, + "step": 4000 + }, + { + "epoch": 1.0, + "eval_bleu-4": 0.21864021599726502, + "eval_rouge-1": 59.13236399999999, + "eval_rouge-2": 29.168236, + "eval_rouge-l": 40.408967999999994, + "eval_runtime": 198.3621, + "eval_samples_per_second": 0.252, + "eval_steps_per_second": 0.126, + "step": 4000 + } + ], + "logging_steps": 1, + "max_steps": 4000, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 4000, + "total_flos": 3.3328801620526694e+17, + "train_batch_size": 2, + "trial_name": null, + "trial_params": null +}