diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,7752 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 2.9965075669383, + "eval_steps": 500, + "global_step": 1287, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 5.128205128205128e-07, + "loss": 0.8856, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 1.0256410256410257e-06, + "loss": 0.8834, + "step": 2 + }, + { + "epoch": 0.01, + "learning_rate": 1.5384615384615387e-06, + "loss": 0.8061, + "step": 3 + }, + { + "epoch": 0.01, + "learning_rate": 2.0512820512820513e-06, + "loss": 0.8177, + "step": 4 + }, + { + "epoch": 0.01, + "learning_rate": 2.564102564102564e-06, + "loss": 0.8807, + "step": 5 + }, + { + "epoch": 0.01, + "learning_rate": 3.0769230769230774e-06, + "loss": 0.8335, + "step": 6 + }, + { + "epoch": 0.02, + "learning_rate": 3.58974358974359e-06, + "loss": 0.8102, + "step": 7 + }, + { + "epoch": 0.02, + "learning_rate": 4.102564102564103e-06, + "loss": 0.7847, + "step": 8 + }, + { + "epoch": 0.02, + "learning_rate": 4.615384615384616e-06, + "loss": 0.7545, + "step": 9 + }, + { + "epoch": 0.02, + "learning_rate": 5.128205128205128e-06, + "loss": 0.8027, + "step": 10 + }, + { + "epoch": 0.03, + "learning_rate": 5.641025641025641e-06, + "loss": 0.7502, + "step": 11 + }, + { + "epoch": 0.03, + "learning_rate": 6.153846153846155e-06, + "loss": 0.8542, + "step": 12 + }, + { + "epoch": 0.03, + "learning_rate": 6.666666666666667e-06, + "loss": 0.8134, + "step": 13 + }, + { + "epoch": 0.03, + "learning_rate": 7.17948717948718e-06, + "loss": 0.7582, + "step": 14 + }, + { + "epoch": 0.03, + "learning_rate": 7.692307692307694e-06, + "loss": 0.7644, + "step": 15 + }, + { + "epoch": 0.04, + "learning_rate": 8.205128205128205e-06, + "loss": 0.8194, + "step": 16 + }, + { + "epoch": 0.04, + "learning_rate": 8.717948717948719e-06, + "loss": 0.7587, + "step": 17 + }, + { + "epoch": 0.04, + "learning_rate": 9.230769230769232e-06, + "loss": 0.7776, + "step": 18 + }, + { + "epoch": 0.04, + "learning_rate": 9.743589743589744e-06, + "loss": 0.7041, + "step": 19 + }, + { + "epoch": 0.05, + "learning_rate": 1.0256410256410256e-05, + "loss": 0.7404, + "step": 20 + }, + { + "epoch": 0.05, + "learning_rate": 1.076923076923077e-05, + "loss": 0.7741, + "step": 21 + }, + { + "epoch": 0.05, + "learning_rate": 1.1282051282051283e-05, + "loss": 0.7662, + "step": 22 + }, + { + "epoch": 0.05, + "learning_rate": 1.1794871794871796e-05, + "loss": 0.7667, + "step": 23 + }, + { + "epoch": 0.06, + "learning_rate": 1.230769230769231e-05, + "loss": 0.7431, + "step": 24 + }, + { + "epoch": 0.06, + "learning_rate": 1.2820512820512823e-05, + "loss": 0.7801, + "step": 25 + }, + { + "epoch": 0.06, + "learning_rate": 1.3333333333333333e-05, + "loss": 0.729, + "step": 26 + }, + { + "epoch": 0.06, + "learning_rate": 1.3846153846153847e-05, + "loss": 0.7712, + "step": 27 + }, + { + "epoch": 0.07, + "learning_rate": 1.435897435897436e-05, + "loss": 0.7548, + "step": 28 + }, + { + "epoch": 0.07, + "learning_rate": 1.4871794871794874e-05, + "loss": 0.7692, + "step": 29 + }, + { + "epoch": 0.07, + "learning_rate": 1.5384615384615387e-05, + "loss": 0.7798, + "step": 30 + }, + { + "epoch": 0.07, + "learning_rate": 1.5897435897435897e-05, + "loss": 0.7421, + "step": 31 + }, + { + "epoch": 0.07, + "learning_rate": 1.641025641025641e-05, + "loss": 0.7973, + "step": 32 + }, + { + "epoch": 0.08, + "learning_rate": 1.6923076923076924e-05, + "loss": 0.7481, + "step": 33 + }, + { + "epoch": 0.08, + "learning_rate": 1.7435897435897438e-05, + "loss": 0.7601, + "step": 34 + }, + { + "epoch": 0.08, + "learning_rate": 1.794871794871795e-05, + "loss": 0.7442, + "step": 35 + }, + { + "epoch": 0.08, + "learning_rate": 1.8461538461538465e-05, + "loss": 0.7078, + "step": 36 + }, + { + "epoch": 0.09, + "learning_rate": 1.8974358974358975e-05, + "loss": 0.7348, + "step": 37 + }, + { + "epoch": 0.09, + "learning_rate": 1.9487179487179488e-05, + "loss": 0.6966, + "step": 38 + }, + { + "epoch": 0.09, + "learning_rate": 2e-05, + "loss": 0.7396, + "step": 39 + }, + { + "epoch": 0.09, + "learning_rate": 1.9999968315974827e-05, + "loss": 0.7457, + "step": 40 + }, + { + "epoch": 0.1, + "learning_rate": 1.9999873264100076e-05, + "loss": 0.8337, + "step": 41 + }, + { + "epoch": 0.1, + "learning_rate": 1.999971484497808e-05, + "loss": 0.778, + "step": 42 + }, + { + "epoch": 0.1, + "learning_rate": 1.99994930596127e-05, + "loss": 0.7444, + "step": 43 + }, + { + "epoch": 0.1, + "learning_rate": 1.9999207909409354e-05, + "loss": 0.7344, + "step": 44 + }, + { + "epoch": 0.1, + "learning_rate": 1.9998859396174982e-05, + "loss": 0.7424, + "step": 45 + }, + { + "epoch": 0.11, + "learning_rate": 1.999844752211804e-05, + "loss": 0.7425, + "step": 46 + }, + { + "epoch": 0.11, + "learning_rate": 1.9997972289848505e-05, + "loss": 0.7307, + "step": 47 + }, + { + "epoch": 0.11, + "learning_rate": 1.999743370237782e-05, + "loss": 0.7106, + "step": 48 + }, + { + "epoch": 0.11, + "learning_rate": 1.999683176311891e-05, + "loss": 0.7966, + "step": 49 + }, + { + "epoch": 0.12, + "learning_rate": 1.999616647588615e-05, + "loss": 0.7336, + "step": 50 + }, + { + "epoch": 0.12, + "learning_rate": 1.9995437844895337e-05, + "loss": 0.7263, + "step": 51 + }, + { + "epoch": 0.12, + "learning_rate": 1.9994645874763657e-05, + "loss": 0.8042, + "step": 52 + }, + { + "epoch": 0.12, + "learning_rate": 1.9993790570509678e-05, + "loss": 0.7462, + "step": 53 + }, + { + "epoch": 0.13, + "learning_rate": 1.9992871937553292e-05, + "loss": 0.7796, + "step": 54 + }, + { + "epoch": 0.13, + "learning_rate": 1.9991889981715696e-05, + "loss": 0.8143, + "step": 55 + }, + { + "epoch": 0.13, + "learning_rate": 1.9990844709219357e-05, + "loss": 0.7513, + "step": 56 + }, + { + "epoch": 0.13, + "learning_rate": 1.998973612668796e-05, + "loss": 0.7069, + "step": 57 + }, + { + "epoch": 0.14, + "learning_rate": 1.998856424114638e-05, + "loss": 0.7357, + "step": 58 + }, + { + "epoch": 0.14, + "learning_rate": 1.9987329060020616e-05, + "loss": 0.7408, + "step": 59 + }, + { + "epoch": 0.14, + "learning_rate": 1.9986030591137785e-05, + "loss": 0.7381, + "step": 60 + }, + { + "epoch": 0.14, + "learning_rate": 1.998466884272602e-05, + "loss": 0.761, + "step": 61 + }, + { + "epoch": 0.14, + "learning_rate": 1.998324382341446e-05, + "loss": 0.7462, + "step": 62 + }, + { + "epoch": 0.15, + "learning_rate": 1.9981755542233175e-05, + "loss": 0.7614, + "step": 63 + }, + { + "epoch": 0.15, + "learning_rate": 1.9980204008613112e-05, + "loss": 0.7148, + "step": 64 + }, + { + "epoch": 0.15, + "learning_rate": 1.9978589232386036e-05, + "loss": 0.7451, + "step": 65 + }, + { + "epoch": 0.15, + "learning_rate": 1.9976911223784473e-05, + "loss": 0.7229, + "step": 66 + }, + { + "epoch": 0.16, + "learning_rate": 1.9975169993441627e-05, + "loss": 0.7264, + "step": 67 + }, + { + "epoch": 0.16, + "learning_rate": 1.9973365552391346e-05, + "loss": 0.7643, + "step": 68 + }, + { + "epoch": 0.16, + "learning_rate": 1.9971497912068014e-05, + "loss": 0.7341, + "step": 69 + }, + { + "epoch": 0.16, + "learning_rate": 1.9969567084306506e-05, + "loss": 0.7651, + "step": 70 + }, + { + "epoch": 0.17, + "learning_rate": 1.9967573081342103e-05, + "loss": 0.7713, + "step": 71 + }, + { + "epoch": 0.17, + "learning_rate": 1.9965515915810408e-05, + "loss": 0.6778, + "step": 72 + }, + { + "epoch": 0.17, + "learning_rate": 1.9963395600747285e-05, + "loss": 0.7484, + "step": 73 + }, + { + "epoch": 0.17, + "learning_rate": 1.996121214958875e-05, + "loss": 0.7411, + "step": 74 + }, + { + "epoch": 0.17, + "learning_rate": 1.995896557617091e-05, + "loss": 0.7596, + "step": 75 + }, + { + "epoch": 0.18, + "learning_rate": 1.9956655894729866e-05, + "loss": 0.7661, + "step": 76 + }, + { + "epoch": 0.18, + "learning_rate": 1.9954283119901613e-05, + "loss": 0.6651, + "step": 77 + }, + { + "epoch": 0.18, + "learning_rate": 1.995184726672197e-05, + "loss": 0.7518, + "step": 78 + }, + { + "epoch": 0.18, + "learning_rate": 1.9949348350626456e-05, + "loss": 0.7212, + "step": 79 + }, + { + "epoch": 0.19, + "learning_rate": 1.9946786387450223e-05, + "loss": 0.7507, + "step": 80 + }, + { + "epoch": 0.19, + "learning_rate": 1.9944161393427923e-05, + "loss": 0.7249, + "step": 81 + }, + { + "epoch": 0.19, + "learning_rate": 1.994147338519364e-05, + "loss": 0.7747, + "step": 82 + }, + { + "epoch": 0.19, + "learning_rate": 1.9938722379780747e-05, + "loss": 0.6898, + "step": 83 + }, + { + "epoch": 0.2, + "learning_rate": 1.9935908394621844e-05, + "loss": 0.7072, + "step": 84 + }, + { + "epoch": 0.2, + "learning_rate": 1.9933031447548593e-05, + "loss": 0.7016, + "step": 85 + }, + { + "epoch": 0.2, + "learning_rate": 1.9930091556791656e-05, + "loss": 0.7033, + "step": 86 + }, + { + "epoch": 0.2, + "learning_rate": 1.992708874098054e-05, + "loss": 0.7209, + "step": 87 + }, + { + "epoch": 0.2, + "learning_rate": 1.992402301914351e-05, + "loss": 0.6539, + "step": 88 + }, + { + "epoch": 0.21, + "learning_rate": 1.9920894410707446e-05, + "loss": 0.7334, + "step": 89 + }, + { + "epoch": 0.21, + "learning_rate": 1.9917702935497725e-05, + "loss": 0.7615, + "step": 90 + }, + { + "epoch": 0.21, + "learning_rate": 1.9914448613738107e-05, + "loss": 0.7591, + "step": 91 + }, + { + "epoch": 0.21, + "learning_rate": 1.9911131466050594e-05, + "loss": 0.7106, + "step": 92 + }, + { + "epoch": 0.22, + "learning_rate": 1.99077515134553e-05, + "loss": 0.7583, + "step": 93 + }, + { + "epoch": 0.22, + "learning_rate": 1.990430877737034e-05, + "loss": 0.7018, + "step": 94 + }, + { + "epoch": 0.22, + "learning_rate": 1.9900803279611643e-05, + "loss": 0.7175, + "step": 95 + }, + { + "epoch": 0.22, + "learning_rate": 1.9897235042392876e-05, + "loss": 0.6996, + "step": 96 + }, + { + "epoch": 0.23, + "learning_rate": 1.9893604088325258e-05, + "loss": 0.7738, + "step": 97 + }, + { + "epoch": 0.23, + "learning_rate": 1.988991044041744e-05, + "loss": 0.704, + "step": 98 + }, + { + "epoch": 0.23, + "learning_rate": 1.9886154122075344e-05, + "loss": 0.73, + "step": 99 + }, + { + "epoch": 0.23, + "learning_rate": 1.9882335157102033e-05, + "loss": 0.6545, + "step": 100 + }, + { + "epoch": 0.24, + "learning_rate": 1.987845356969754e-05, + "loss": 0.7122, + "step": 101 + }, + { + "epoch": 0.24, + "learning_rate": 1.9874509384458726e-05, + "loss": 0.7811, + "step": 102 + }, + { + "epoch": 0.24, + "learning_rate": 1.9870502626379127e-05, + "loss": 0.7283, + "step": 103 + }, + { + "epoch": 0.24, + "learning_rate": 1.9866433320848793e-05, + "loss": 0.7103, + "step": 104 + }, + { + "epoch": 0.24, + "learning_rate": 1.986230149365411e-05, + "loss": 0.6781, + "step": 105 + }, + { + "epoch": 0.25, + "learning_rate": 1.985810717097766e-05, + "loss": 0.7584, + "step": 106 + }, + { + "epoch": 0.25, + "learning_rate": 1.985385037939806e-05, + "loss": 0.6629, + "step": 107 + }, + { + "epoch": 0.25, + "learning_rate": 1.9849531145889758e-05, + "loss": 0.7587, + "step": 108 + }, + { + "epoch": 0.25, + "learning_rate": 1.9845149497822898e-05, + "loss": 0.6596, + "step": 109 + }, + { + "epoch": 0.26, + "learning_rate": 1.984070546296313e-05, + "loss": 0.6613, + "step": 110 + }, + { + "epoch": 0.26, + "learning_rate": 1.983619906947144e-05, + "loss": 0.7364, + "step": 111 + }, + { + "epoch": 0.26, + "learning_rate": 1.9831630345903953e-05, + "loss": 0.7328, + "step": 112 + }, + { + "epoch": 0.26, + "learning_rate": 1.9826999321211793e-05, + "loss": 0.7765, + "step": 113 + }, + { + "epoch": 0.27, + "learning_rate": 1.9822306024740855e-05, + "loss": 0.6444, + "step": 114 + }, + { + "epoch": 0.27, + "learning_rate": 1.9817550486231645e-05, + "loss": 0.7316, + "step": 115 + }, + { + "epoch": 0.27, + "learning_rate": 1.9812732735819078e-05, + "loss": 0.7047, + "step": 116 + }, + { + "epoch": 0.27, + "learning_rate": 1.9807852804032306e-05, + "loss": 0.7178, + "step": 117 + }, + { + "epoch": 0.27, + "learning_rate": 1.9802910721794505e-05, + "loss": 0.6992, + "step": 118 + }, + { + "epoch": 0.28, + "learning_rate": 1.979790652042268e-05, + "loss": 0.7188, + "step": 119 + }, + { + "epoch": 0.28, + "learning_rate": 1.9792840231627482e-05, + "loss": 0.754, + "step": 120 + }, + { + "epoch": 0.28, + "learning_rate": 1.9787711887513e-05, + "loss": 0.7017, + "step": 121 + }, + { + "epoch": 0.28, + "learning_rate": 1.978252152057655e-05, + "loss": 0.6756, + "step": 122 + }, + { + "epoch": 0.29, + "learning_rate": 1.977726916370847e-05, + "loss": 0.6991, + "step": 123 + }, + { + "epoch": 0.29, + "learning_rate": 1.9771954850191927e-05, + "loss": 0.7786, + "step": 124 + }, + { + "epoch": 0.29, + "learning_rate": 1.9766578613702683e-05, + "loss": 0.6866, + "step": 125 + }, + { + "epoch": 0.29, + "learning_rate": 1.976114048830891e-05, + "loss": 0.7181, + "step": 126 + }, + { + "epoch": 0.3, + "learning_rate": 1.975564050847094e-05, + "loss": 0.7016, + "step": 127 + }, + { + "epoch": 0.3, + "learning_rate": 1.9750078709041077e-05, + "loss": 0.7472, + "step": 128 + }, + { + "epoch": 0.3, + "learning_rate": 1.974445512526336e-05, + "loss": 0.6819, + "step": 129 + }, + { + "epoch": 0.3, + "learning_rate": 1.9738769792773338e-05, + "loss": 0.7272, + "step": 130 + }, + { + "epoch": 0.31, + "learning_rate": 1.973302274759786e-05, + "loss": 0.711, + "step": 131 + }, + { + "epoch": 0.31, + "learning_rate": 1.9727214026154827e-05, + "loss": 0.7268, + "step": 132 + }, + { + "epoch": 0.31, + "learning_rate": 1.972134366525298e-05, + "loss": 0.712, + "step": 133 + }, + { + "epoch": 0.31, + "learning_rate": 1.971541170209165e-05, + "loss": 0.662, + "step": 134 + }, + { + "epoch": 0.31, + "learning_rate": 1.9709418174260523e-05, + "loss": 0.729, + "step": 135 + }, + { + "epoch": 0.32, + "learning_rate": 1.9703363119739424e-05, + "loss": 0.7034, + "step": 136 + }, + { + "epoch": 0.32, + "learning_rate": 1.969724657689805e-05, + "loss": 0.7096, + "step": 137 + }, + { + "epoch": 0.32, + "learning_rate": 1.9691068584495744e-05, + "loss": 0.7043, + "step": 138 + }, + { + "epoch": 0.32, + "learning_rate": 1.9684829181681236e-05, + "loss": 0.7244, + "step": 139 + }, + { + "epoch": 0.33, + "learning_rate": 1.9678528407992404e-05, + "loss": 0.714, + "step": 140 + }, + { + "epoch": 0.33, + "learning_rate": 1.967216630335603e-05, + "loss": 0.6707, + "step": 141 + }, + { + "epoch": 0.33, + "learning_rate": 1.966574290808752e-05, + "loss": 0.7164, + "step": 142 + }, + { + "epoch": 0.33, + "learning_rate": 1.9659258262890683e-05, + "loss": 0.7373, + "step": 143 + }, + { + "epoch": 0.34, + "learning_rate": 1.9652712408857452e-05, + "loss": 0.7256, + "step": 144 + }, + { + "epoch": 0.34, + "learning_rate": 1.9646105387467627e-05, + "loss": 0.699, + "step": 145 + }, + { + "epoch": 0.34, + "learning_rate": 1.9639437240588618e-05, + "loss": 0.751, + "step": 146 + }, + { + "epoch": 0.34, + "learning_rate": 1.9632708010475166e-05, + "loss": 0.7514, + "step": 147 + }, + { + "epoch": 0.34, + "learning_rate": 1.962591773976909e-05, + "loss": 0.6713, + "step": 148 + }, + { + "epoch": 0.35, + "learning_rate": 1.9619066471499017e-05, + "loss": 0.7549, + "step": 149 + }, + { + "epoch": 0.35, + "learning_rate": 1.961215424908009e-05, + "loss": 0.6804, + "step": 150 + }, + { + "epoch": 0.35, + "learning_rate": 1.9605181116313725e-05, + "loss": 0.7296, + "step": 151 + }, + { + "epoch": 0.35, + "learning_rate": 1.9598147117387298e-05, + "loss": 0.7234, + "step": 152 + }, + { + "epoch": 0.36, + "learning_rate": 1.959105229687389e-05, + "loss": 0.7569, + "step": 153 + }, + { + "epoch": 0.36, + "learning_rate": 1.9583896699731996e-05, + "loss": 0.7144, + "step": 154 + }, + { + "epoch": 0.36, + "learning_rate": 1.957668037130524e-05, + "loss": 0.7082, + "step": 155 + }, + { + "epoch": 0.36, + "learning_rate": 1.956940335732209e-05, + "loss": 0.7199, + "step": 156 + }, + { + "epoch": 0.37, + "learning_rate": 1.956206570389556e-05, + "loss": 0.751, + "step": 157 + }, + { + "epoch": 0.37, + "learning_rate": 1.9554667457522936e-05, + "loss": 0.7553, + "step": 158 + }, + { + "epoch": 0.37, + "learning_rate": 1.954720866508546e-05, + "loss": 0.7216, + "step": 159 + }, + { + "epoch": 0.37, + "learning_rate": 1.953968937384804e-05, + "loss": 0.7342, + "step": 160 + }, + { + "epoch": 0.37, + "learning_rate": 1.9532109631458963e-05, + "loss": 0.766, + "step": 161 + }, + { + "epoch": 0.38, + "learning_rate": 1.9524469485949586e-05, + "loss": 0.7734, + "step": 162 + }, + { + "epoch": 0.38, + "learning_rate": 1.9516768985734008e-05, + "loss": 0.777, + "step": 163 + }, + { + "epoch": 0.38, + "learning_rate": 1.9509008179608804e-05, + "loss": 0.7557, + "step": 164 + }, + { + "epoch": 0.38, + "learning_rate": 1.9501187116752694e-05, + "loss": 0.6586, + "step": 165 + }, + { + "epoch": 0.39, + "learning_rate": 1.949330584672622e-05, + "loss": 0.6987, + "step": 166 + }, + { + "epoch": 0.39, + "learning_rate": 1.9485364419471454e-05, + "loss": 0.6163, + "step": 167 + }, + { + "epoch": 0.39, + "learning_rate": 1.9477362885311684e-05, + "loss": 0.7489, + "step": 168 + }, + { + "epoch": 0.39, + "learning_rate": 1.946930129495106e-05, + "loss": 0.6906, + "step": 169 + }, + { + "epoch": 0.4, + "learning_rate": 1.946117969947431e-05, + "loss": 0.7249, + "step": 170 + }, + { + "epoch": 0.4, + "learning_rate": 1.9452998150346403e-05, + "loss": 0.6988, + "step": 171 + }, + { + "epoch": 0.4, + "learning_rate": 1.9444756699412225e-05, + "loss": 0.6643, + "step": 172 + }, + { + "epoch": 0.4, + "learning_rate": 1.9436455398896234e-05, + "loss": 0.6682, + "step": 173 + }, + { + "epoch": 0.41, + "learning_rate": 1.9428094301402164e-05, + "loss": 0.7114, + "step": 174 + }, + { + "epoch": 0.41, + "learning_rate": 1.9419673459912652e-05, + "loss": 0.7416, + "step": 175 + }, + { + "epoch": 0.41, + "learning_rate": 1.941119292778893e-05, + "loss": 0.6653, + "step": 176 + }, + { + "epoch": 0.41, + "learning_rate": 1.9402652758770476e-05, + "loss": 0.7231, + "step": 177 + }, + { + "epoch": 0.41, + "learning_rate": 1.939405300697468e-05, + "loss": 0.7067, + "step": 178 + }, + { + "epoch": 0.42, + "learning_rate": 1.9385393726896492e-05, + "loss": 0.672, + "step": 179 + }, + { + "epoch": 0.42, + "learning_rate": 1.9376674973408077e-05, + "loss": 0.7218, + "step": 180 + }, + { + "epoch": 0.42, + "learning_rate": 1.9367896801758478e-05, + "loss": 0.7046, + "step": 181 + }, + { + "epoch": 0.42, + "learning_rate": 1.935905926757326e-05, + "loss": 0.6373, + "step": 182 + }, + { + "epoch": 0.43, + "learning_rate": 1.9350162426854152e-05, + "loss": 0.69, + "step": 183 + }, + { + "epoch": 0.43, + "learning_rate": 1.9341206335978695e-05, + "loss": 0.7118, + "step": 184 + }, + { + "epoch": 0.43, + "learning_rate": 1.93321910516999e-05, + "loss": 0.7281, + "step": 185 + }, + { + "epoch": 0.43, + "learning_rate": 1.932311663114586e-05, + "loss": 0.7024, + "step": 186 + }, + { + "epoch": 0.44, + "learning_rate": 1.9313983131819406e-05, + "loss": 0.7186, + "step": 187 + }, + { + "epoch": 0.44, + "learning_rate": 1.930479061159775e-05, + "loss": 0.6939, + "step": 188 + }, + { + "epoch": 0.44, + "learning_rate": 1.9295539128732096e-05, + "loss": 0.7606, + "step": 189 + }, + { + "epoch": 0.44, + "learning_rate": 1.9286228741847286e-05, + "loss": 0.7478, + "step": 190 + }, + { + "epoch": 0.44, + "learning_rate": 1.927685950994143e-05, + "loss": 0.7428, + "step": 191 + }, + { + "epoch": 0.45, + "learning_rate": 1.9267431492385524e-05, + "loss": 0.7229, + "step": 192 + }, + { + "epoch": 0.45, + "learning_rate": 1.9257944748923074e-05, + "loss": 0.6717, + "step": 193 + }, + { + "epoch": 0.45, + "learning_rate": 1.924839933966972e-05, + "loss": 0.7366, + "step": 194 + }, + { + "epoch": 0.45, + "learning_rate": 1.9238795325112867e-05, + "loss": 0.6973, + "step": 195 + }, + { + "epoch": 0.46, + "learning_rate": 1.922913276611128e-05, + "loss": 0.709, + "step": 196 + }, + { + "epoch": 0.46, + "learning_rate": 1.9219411723894717e-05, + "loss": 0.6879, + "step": 197 + }, + { + "epoch": 0.46, + "learning_rate": 1.920963226006352e-05, + "loss": 0.6869, + "step": 198 + }, + { + "epoch": 0.46, + "learning_rate": 1.9199794436588244e-05, + "loss": 0.691, + "step": 199 + }, + { + "epoch": 0.47, + "learning_rate": 1.918989831580926e-05, + "loss": 0.7009, + "step": 200 + }, + { + "epoch": 0.47, + "learning_rate": 1.917994396043636e-05, + "loss": 0.6796, + "step": 201 + }, + { + "epoch": 0.47, + "learning_rate": 1.916993143354835e-05, + "loss": 0.7341, + "step": 202 + }, + { + "epoch": 0.47, + "learning_rate": 1.915986079859266e-05, + "loss": 0.6873, + "step": 203 + }, + { + "epoch": 0.47, + "learning_rate": 1.9149732119384942e-05, + "loss": 0.7652, + "step": 204 + }, + { + "epoch": 0.48, + "learning_rate": 1.9139545460108658e-05, + "loss": 0.7347, + "step": 205 + }, + { + "epoch": 0.48, + "learning_rate": 1.912930088531469e-05, + "loss": 0.7757, + "step": 206 + }, + { + "epoch": 0.48, + "learning_rate": 1.91189984599209e-05, + "loss": 0.6867, + "step": 207 + }, + { + "epoch": 0.48, + "learning_rate": 1.910863824921176e-05, + "loss": 0.7747, + "step": 208 + }, + { + "epoch": 0.49, + "learning_rate": 1.9098220318837897e-05, + "loss": 0.7027, + "step": 209 + }, + { + "epoch": 0.49, + "learning_rate": 1.908774473481571e-05, + "loss": 0.697, + "step": 210 + }, + { + "epoch": 0.49, + "learning_rate": 1.9077211563526928e-05, + "loss": 0.6824, + "step": 211 + }, + { + "epoch": 0.49, + "learning_rate": 1.9066620871718207e-05, + "loss": 0.7084, + "step": 212 + }, + { + "epoch": 0.5, + "learning_rate": 1.9055972726500696e-05, + "loss": 0.7515, + "step": 213 + }, + { + "epoch": 0.5, + "learning_rate": 1.904526719534961e-05, + "loss": 0.7149, + "step": 214 + }, + { + "epoch": 0.5, + "learning_rate": 1.9034504346103825e-05, + "loss": 0.6818, + "step": 215 + }, + { + "epoch": 0.5, + "learning_rate": 1.9023684246965407e-05, + "loss": 0.7422, + "step": 216 + }, + { + "epoch": 0.51, + "learning_rate": 1.9012806966499218e-05, + "loss": 0.7077, + "step": 217 + }, + { + "epoch": 0.51, + "learning_rate": 1.9001872573632462e-05, + "loss": 0.7033, + "step": 218 + }, + { + "epoch": 0.51, + "learning_rate": 1.899088113765426e-05, + "loss": 0.716, + "step": 219 + }, + { + "epoch": 0.51, + "learning_rate": 1.89798327282152e-05, + "loss": 0.7025, + "step": 220 + }, + { + "epoch": 0.51, + "learning_rate": 1.8968727415326885e-05, + "loss": 0.702, + "step": 221 + }, + { + "epoch": 0.52, + "learning_rate": 1.895756526936153e-05, + "loss": 0.7393, + "step": 222 + }, + { + "epoch": 0.52, + "learning_rate": 1.8946346361051474e-05, + "loss": 0.6504, + "step": 223 + }, + { + "epoch": 0.52, + "learning_rate": 1.8935070761488754e-05, + "loss": 0.6957, + "step": 224 + }, + { + "epoch": 0.52, + "learning_rate": 1.8923738542124644e-05, + "loss": 0.6663, + "step": 225 + }, + { + "epoch": 0.53, + "learning_rate": 1.8912349774769208e-05, + "loss": 0.6942, + "step": 226 + }, + { + "epoch": 0.53, + "learning_rate": 1.8900904531590845e-05, + "loss": 0.6908, + "step": 227 + }, + { + "epoch": 0.53, + "learning_rate": 1.8889402885115834e-05, + "loss": 0.6553, + "step": 228 + }, + { + "epoch": 0.53, + "learning_rate": 1.8877844908227857e-05, + "loss": 0.6926, + "step": 229 + }, + { + "epoch": 0.54, + "learning_rate": 1.886623067416757e-05, + "loss": 0.6946, + "step": 230 + }, + { + "epoch": 0.54, + "learning_rate": 1.8854560256532098e-05, + "loss": 0.7009, + "step": 231 + }, + { + "epoch": 0.54, + "learning_rate": 1.8842833729274617e-05, + "loss": 0.6793, + "step": 232 + }, + { + "epoch": 0.54, + "learning_rate": 1.8831051166703832e-05, + "loss": 0.7145, + "step": 233 + }, + { + "epoch": 0.54, + "learning_rate": 1.881921264348355e-05, + "loss": 0.6865, + "step": 234 + }, + { + "epoch": 0.55, + "learning_rate": 1.8807318234632187e-05, + "loss": 0.6813, + "step": 235 + }, + { + "epoch": 0.55, + "learning_rate": 1.8795368015522287e-05, + "loss": 0.7086, + "step": 236 + }, + { + "epoch": 0.55, + "learning_rate": 1.8783362061880063e-05, + "loss": 0.6379, + "step": 237 + }, + { + "epoch": 0.55, + "learning_rate": 1.8771300449784898e-05, + "loss": 0.699, + "step": 238 + }, + { + "epoch": 0.56, + "learning_rate": 1.875918325566888e-05, + "loss": 0.6959, + "step": 239 + }, + { + "epoch": 0.56, + "learning_rate": 1.8747010556316304e-05, + "loss": 0.7168, + "step": 240 + }, + { + "epoch": 0.56, + "learning_rate": 1.8734782428863196e-05, + "loss": 0.6704, + "step": 241 + }, + { + "epoch": 0.56, + "learning_rate": 1.872249895079681e-05, + "loss": 0.7426, + "step": 242 + }, + { + "epoch": 0.57, + "learning_rate": 1.8710160199955158e-05, + "loss": 0.6919, + "step": 243 + }, + { + "epoch": 0.57, + "learning_rate": 1.869776625452649e-05, + "loss": 0.7646, + "step": 244 + }, + { + "epoch": 0.57, + "learning_rate": 1.8685317193048833e-05, + "loss": 0.705, + "step": 245 + }, + { + "epoch": 0.57, + "learning_rate": 1.8672813094409453e-05, + "loss": 0.6666, + "step": 246 + }, + { + "epoch": 0.58, + "learning_rate": 1.866025403784439e-05, + "loss": 0.7231, + "step": 247 + }, + { + "epoch": 0.58, + "learning_rate": 1.8647640102937932e-05, + "loss": 0.758, + "step": 248 + }, + { + "epoch": 0.58, + "learning_rate": 1.863497136962213e-05, + "loss": 0.6631, + "step": 249 + }, + { + "epoch": 0.58, + "learning_rate": 1.8622247918176276e-05, + "loss": 0.6951, + "step": 250 + }, + { + "epoch": 0.58, + "learning_rate": 1.86094698292264e-05, + "loss": 0.6584, + "step": 251 + }, + { + "epoch": 0.59, + "learning_rate": 1.8596637183744762e-05, + "loss": 0.7485, + "step": 252 + }, + { + "epoch": 0.59, + "learning_rate": 1.8583750063049338e-05, + "loss": 0.671, + "step": 253 + }, + { + "epoch": 0.59, + "learning_rate": 1.857080854880329e-05, + "loss": 0.6642, + "step": 254 + }, + { + "epoch": 0.59, + "learning_rate": 1.8557812723014476e-05, + "loss": 0.6836, + "step": 255 + }, + { + "epoch": 0.6, + "learning_rate": 1.854476266803491e-05, + "loss": 0.7021, + "step": 256 + }, + { + "epoch": 0.6, + "learning_rate": 1.8531658466560248e-05, + "loss": 0.6727, + "step": 257 + }, + { + "epoch": 0.6, + "learning_rate": 1.851850020162926e-05, + "loss": 0.6651, + "step": 258 + }, + { + "epoch": 0.6, + "learning_rate": 1.8505287956623298e-05, + "loss": 0.6619, + "step": 259 + }, + { + "epoch": 0.61, + "learning_rate": 1.849202181526579e-05, + "loss": 0.6892, + "step": 260 + }, + { + "epoch": 0.61, + "learning_rate": 1.8478701861621686e-05, + "loss": 0.6941, + "step": 261 + }, + { + "epoch": 0.61, + "learning_rate": 1.8465328180096936e-05, + "loss": 0.7294, + "step": 262 + }, + { + "epoch": 0.61, + "learning_rate": 1.845190085543795e-05, + "loss": 0.7293, + "step": 263 + }, + { + "epoch": 0.61, + "learning_rate": 1.8438419972731066e-05, + "loss": 0.6863, + "step": 264 + }, + { + "epoch": 0.62, + "learning_rate": 1.8424885617402016e-05, + "loss": 0.6956, + "step": 265 + }, + { + "epoch": 0.62, + "learning_rate": 1.8411297875215363e-05, + "loss": 0.712, + "step": 266 + }, + { + "epoch": 0.62, + "learning_rate": 1.8397656832273982e-05, + "loss": 0.6647, + "step": 267 + }, + { + "epoch": 0.62, + "learning_rate": 1.8383962575018503e-05, + "loss": 0.7132, + "step": 268 + }, + { + "epoch": 0.63, + "learning_rate": 1.8370215190226768e-05, + "loss": 0.6865, + "step": 269 + }, + { + "epoch": 0.63, + "learning_rate": 1.8356414765013267e-05, + "loss": 0.7043, + "step": 270 + }, + { + "epoch": 0.63, + "learning_rate": 1.8342561386828613e-05, + "loss": 0.677, + "step": 271 + }, + { + "epoch": 0.63, + "learning_rate": 1.8328655143458958e-05, + "loss": 0.7306, + "step": 272 + }, + { + "epoch": 0.64, + "learning_rate": 1.8314696123025456e-05, + "loss": 0.6944, + "step": 273 + }, + { + "epoch": 0.64, + "learning_rate": 1.8300684413983692e-05, + "loss": 0.7091, + "step": 274 + }, + { + "epoch": 0.64, + "learning_rate": 1.828662010512314e-05, + "loss": 0.6644, + "step": 275 + }, + { + "epoch": 0.64, + "learning_rate": 1.8272503285566587e-05, + "loss": 0.7102, + "step": 276 + }, + { + "epoch": 0.64, + "learning_rate": 1.8258334044769558e-05, + "loss": 0.6988, + "step": 277 + }, + { + "epoch": 0.65, + "learning_rate": 1.8244112472519772e-05, + "loss": 0.632, + "step": 278 + }, + { + "epoch": 0.65, + "learning_rate": 1.8229838658936566e-05, + "loss": 0.6531, + "step": 279 + }, + { + "epoch": 0.65, + "learning_rate": 1.8215512694470304e-05, + "loss": 0.6507, + "step": 280 + }, + { + "epoch": 0.65, + "learning_rate": 1.8201134669901838e-05, + "loss": 0.7119, + "step": 281 + }, + { + "epoch": 0.66, + "learning_rate": 1.81867046763419e-05, + "loss": 0.6645, + "step": 282 + }, + { + "epoch": 0.66, + "learning_rate": 1.817222280523055e-05, + "loss": 0.7481, + "step": 283 + }, + { + "epoch": 0.66, + "learning_rate": 1.8157689148336578e-05, + "loss": 0.6979, + "step": 284 + }, + { + "epoch": 0.66, + "learning_rate": 1.8143103797756942e-05, + "loss": 0.6906, + "step": 285 + }, + { + "epoch": 0.67, + "learning_rate": 1.8128466845916156e-05, + "loss": 0.6546, + "step": 286 + }, + { + "epoch": 0.67, + "learning_rate": 1.811377838556573e-05, + "loss": 0.639, + "step": 287 + }, + { + "epoch": 0.67, + "learning_rate": 1.8099038509783586e-05, + "loss": 0.6769, + "step": 288 + }, + { + "epoch": 0.67, + "learning_rate": 1.8084247311973426e-05, + "loss": 0.6531, + "step": 289 + }, + { + "epoch": 0.68, + "learning_rate": 1.8069404885864198e-05, + "loss": 0.6508, + "step": 290 + }, + { + "epoch": 0.68, + "learning_rate": 1.805451132550946e-05, + "loss": 0.6991, + "step": 291 + }, + { + "epoch": 0.68, + "learning_rate": 1.80395667252868e-05, + "loss": 0.6991, + "step": 292 + }, + { + "epoch": 0.68, + "learning_rate": 1.8024571179897236e-05, + "loss": 0.6984, + "step": 293 + }, + { + "epoch": 0.68, + "learning_rate": 1.8009524784364615e-05, + "loss": 0.7872, + "step": 294 + }, + { + "epoch": 0.69, + "learning_rate": 1.7994427634035016e-05, + "loss": 0.6956, + "step": 295 + }, + { + "epoch": 0.69, + "learning_rate": 1.7979279824576127e-05, + "loss": 0.6801, + "step": 296 + }, + { + "epoch": 0.69, + "learning_rate": 1.7964081451976673e-05, + "loss": 0.6579, + "step": 297 + }, + { + "epoch": 0.69, + "learning_rate": 1.794883261254577e-05, + "loss": 0.7602, + "step": 298 + }, + { + "epoch": 0.7, + "learning_rate": 1.7933533402912354e-05, + "loss": 0.7077, + "step": 299 + }, + { + "epoch": 0.7, + "learning_rate": 1.791818392002452e-05, + "loss": 0.7342, + "step": 300 + }, + { + "epoch": 0.7, + "learning_rate": 1.7902784261148952e-05, + "loss": 0.7036, + "step": 301 + }, + { + "epoch": 0.7, + "learning_rate": 1.788733452387029e-05, + "loss": 0.6809, + "step": 302 + }, + { + "epoch": 0.71, + "learning_rate": 1.7871834806090502e-05, + "loss": 0.6297, + "step": 303 + }, + { + "epoch": 0.71, + "learning_rate": 1.7856285206028282e-05, + "loss": 0.7425, + "step": 304 + }, + { + "epoch": 0.71, + "learning_rate": 1.784068582221841e-05, + "loss": 0.6649, + "step": 305 + }, + { + "epoch": 0.71, + "learning_rate": 1.7825036753511143e-05, + "loss": 0.6832, + "step": 306 + }, + { + "epoch": 0.71, + "learning_rate": 1.780933809907158e-05, + "loss": 0.69, + "step": 307 + }, + { + "epoch": 0.72, + "learning_rate": 1.779358995837902e-05, + "loss": 0.6768, + "step": 308 + }, + { + "epoch": 0.72, + "learning_rate": 1.7777792431226384e-05, + "loss": 0.7612, + "step": 309 + }, + { + "epoch": 0.72, + "learning_rate": 1.7761945617719502e-05, + "loss": 0.6974, + "step": 310 + }, + { + "epoch": 0.72, + "learning_rate": 1.7746049618276545e-05, + "loss": 0.6653, + "step": 311 + }, + { + "epoch": 0.73, + "learning_rate": 1.773010453362737e-05, + "loss": 0.6423, + "step": 312 + }, + { + "epoch": 0.73, + "learning_rate": 1.7714110464812865e-05, + "loss": 0.6814, + "step": 313 + }, + { + "epoch": 0.73, + "learning_rate": 1.7698067513184326e-05, + "loss": 0.695, + "step": 314 + }, + { + "epoch": 0.73, + "learning_rate": 1.7681975780402807e-05, + "loss": 0.6734, + "step": 315 + }, + { + "epoch": 0.74, + "learning_rate": 1.7665835368438483e-05, + "loss": 0.6903, + "step": 316 + }, + { + "epoch": 0.74, + "learning_rate": 1.7649646379570003e-05, + "loss": 0.6607, + "step": 317 + }, + { + "epoch": 0.74, + "learning_rate": 1.7633408916383826e-05, + "loss": 0.6263, + "step": 318 + }, + { + "epoch": 0.74, + "learning_rate": 1.761712308177359e-05, + "loss": 0.6718, + "step": 319 + }, + { + "epoch": 0.75, + "learning_rate": 1.7600788978939463e-05, + "loss": 0.6668, + "step": 320 + }, + { + "epoch": 0.75, + "learning_rate": 1.7584406711387462e-05, + "loss": 0.7012, + "step": 321 + }, + { + "epoch": 0.75, + "learning_rate": 1.7567976382928823e-05, + "loss": 0.668, + "step": 322 + }, + { + "epoch": 0.75, + "learning_rate": 1.755149809767934e-05, + "loss": 0.6368, + "step": 323 + }, + { + "epoch": 0.75, + "learning_rate": 1.7534971960058684e-05, + "loss": 0.7012, + "step": 324 + }, + { + "epoch": 0.76, + "learning_rate": 1.7518398074789776e-05, + "loss": 0.6769, + "step": 325 + }, + { + "epoch": 0.76, + "learning_rate": 1.750177654689809e-05, + "loss": 0.6835, + "step": 326 + }, + { + "epoch": 0.76, + "learning_rate": 1.7485107481711014e-05, + "loss": 0.7005, + "step": 327 + }, + { + "epoch": 0.76, + "learning_rate": 1.7468390984857157e-05, + "loss": 0.7436, + "step": 328 + }, + { + "epoch": 0.77, + "learning_rate": 1.7451627162265703e-05, + "loss": 0.6826, + "step": 329 + }, + { + "epoch": 0.77, + "learning_rate": 1.743481612016573e-05, + "loss": 0.7138, + "step": 330 + }, + { + "epoch": 0.77, + "learning_rate": 1.7417957965085532e-05, + "loss": 0.6944, + "step": 331 + }, + { + "epoch": 0.77, + "learning_rate": 1.740105280385195e-05, + "loss": 0.669, + "step": 332 + }, + { + "epoch": 0.78, + "learning_rate": 1.7384100743589698e-05, + "loss": 0.6957, + "step": 333 + }, + { + "epoch": 0.78, + "learning_rate": 1.7367101891720672e-05, + "loss": 0.6974, + "step": 334 + }, + { + "epoch": 0.78, + "learning_rate": 1.7350056355963287e-05, + "loss": 0.6979, + "step": 335 + }, + { + "epoch": 0.78, + "learning_rate": 1.733296424433178e-05, + "loss": 0.6704, + "step": 336 + }, + { + "epoch": 0.78, + "learning_rate": 1.731582566513552e-05, + "loss": 0.6833, + "step": 337 + }, + { + "epoch": 0.79, + "learning_rate": 1.7298640726978357e-05, + "loss": 0.6944, + "step": 338 + }, + { + "epoch": 0.79, + "learning_rate": 1.7281409538757886e-05, + "loss": 0.6986, + "step": 339 + }, + { + "epoch": 0.79, + "learning_rate": 1.7264132209664785e-05, + "loss": 0.6958, + "step": 340 + }, + { + "epoch": 0.79, + "learning_rate": 1.7246808849182125e-05, + "loss": 0.6992, + "step": 341 + }, + { + "epoch": 0.8, + "learning_rate": 1.722943956708466e-05, + "loss": 0.6826, + "step": 342 + }, + { + "epoch": 0.8, + "learning_rate": 1.7212024473438145e-05, + "loss": 0.6613, + "step": 343 + }, + { + "epoch": 0.8, + "learning_rate": 1.7194563678598638e-05, + "loss": 0.6874, + "step": 344 + }, + { + "epoch": 0.8, + "learning_rate": 1.7177057293211786e-05, + "loss": 0.7067, + "step": 345 + }, + { + "epoch": 0.81, + "learning_rate": 1.715950542821214e-05, + "loss": 0.7072, + "step": 346 + }, + { + "epoch": 0.81, + "learning_rate": 1.7141908194822448e-05, + "loss": 0.7222, + "step": 347 + }, + { + "epoch": 0.81, + "learning_rate": 1.7124265704552948e-05, + "loss": 0.7074, + "step": 348 + }, + { + "epoch": 0.81, + "learning_rate": 1.710657806920066e-05, + "loss": 0.6994, + "step": 349 + }, + { + "epoch": 0.81, + "learning_rate": 1.7088845400848684e-05, + "loss": 0.7031, + "step": 350 + }, + { + "epoch": 0.82, + "learning_rate": 1.7071067811865477e-05, + "loss": 0.6955, + "step": 351 + }, + { + "epoch": 0.82, + "learning_rate": 1.705324541490416e-05, + "loss": 0.6589, + "step": 352 + }, + { + "epoch": 0.82, + "learning_rate": 1.703537832290178e-05, + "loss": 0.7225, + "step": 353 + }, + { + "epoch": 0.82, + "learning_rate": 1.701746664907862e-05, + "loss": 0.7101, + "step": 354 + }, + { + "epoch": 0.83, + "learning_rate": 1.6999510506937465e-05, + "loss": 0.697, + "step": 355 + }, + { + "epoch": 0.83, + "learning_rate": 1.6981510010262892e-05, + "loss": 0.7174, + "step": 356 + }, + { + "epoch": 0.83, + "learning_rate": 1.696346527312053e-05, + "loss": 0.7193, + "step": 357 + }, + { + "epoch": 0.83, + "learning_rate": 1.6945376409856366e-05, + "loss": 0.7524, + "step": 358 + }, + { + "epoch": 0.84, + "learning_rate": 1.6927243535095995e-05, + "loss": 0.6654, + "step": 359 + }, + { + "epoch": 0.84, + "learning_rate": 1.6909066763743914e-05, + "loss": 0.7009, + "step": 360 + }, + { + "epoch": 0.84, + "learning_rate": 1.6890846210982775e-05, + "loss": 0.6664, + "step": 361 + }, + { + "epoch": 0.84, + "learning_rate": 1.6872581992272673e-05, + "loss": 0.7077, + "step": 362 + }, + { + "epoch": 0.85, + "learning_rate": 1.68542742233504e-05, + "loss": 0.6771, + "step": 363 + }, + { + "epoch": 0.85, + "learning_rate": 1.6835923020228714e-05, + "loss": 0.6233, + "step": 364 + }, + { + "epoch": 0.85, + "learning_rate": 1.6817528499195614e-05, + "loss": 0.7673, + "step": 365 + }, + { + "epoch": 0.85, + "learning_rate": 1.6799090776813597e-05, + "loss": 0.6986, + "step": 366 + }, + { + "epoch": 0.85, + "learning_rate": 1.678060996991891e-05, + "loss": 0.627, + "step": 367 + }, + { + "epoch": 0.86, + "learning_rate": 1.6762086195620824e-05, + "loss": 0.7031, + "step": 368 + }, + { + "epoch": 0.86, + "learning_rate": 1.674351957130089e-05, + "loss": 0.6813, + "step": 369 + }, + { + "epoch": 0.86, + "learning_rate": 1.672491021461218e-05, + "loss": 0.6627, + "step": 370 + }, + { + "epoch": 0.86, + "learning_rate": 1.670625824347856e-05, + "loss": 0.7178, + "step": 371 + }, + { + "epoch": 0.87, + "learning_rate": 1.6687563776093943e-05, + "loss": 0.6907, + "step": 372 + }, + { + "epoch": 0.87, + "learning_rate": 1.666882693092151e-05, + "loss": 0.6967, + "step": 373 + }, + { + "epoch": 0.87, + "learning_rate": 1.6650047826693006e-05, + "loss": 0.7048, + "step": 374 + }, + { + "epoch": 0.87, + "learning_rate": 1.6631226582407954e-05, + "loss": 0.7083, + "step": 375 + }, + { + "epoch": 0.88, + "learning_rate": 1.6612363317332904e-05, + "loss": 0.6811, + "step": 376 + }, + { + "epoch": 0.88, + "learning_rate": 1.659345815100069e-05, + "loss": 0.7092, + "step": 377 + }, + { + "epoch": 0.88, + "learning_rate": 1.6574511203209667e-05, + "loss": 0.6646, + "step": 378 + }, + { + "epoch": 0.88, + "learning_rate": 1.655552259402295e-05, + "loss": 0.6314, + "step": 379 + }, + { + "epoch": 0.88, + "learning_rate": 1.6536492443767654e-05, + "loss": 0.6779, + "step": 380 + }, + { + "epoch": 0.89, + "learning_rate": 1.651742087303412e-05, + "loss": 0.701, + "step": 381 + }, + { + "epoch": 0.89, + "learning_rate": 1.649830800267519e-05, + "loss": 0.6662, + "step": 382 + }, + { + "epoch": 0.89, + "learning_rate": 1.647915395380539e-05, + "loss": 0.6409, + "step": 383 + }, + { + "epoch": 0.89, + "learning_rate": 1.645995884780019e-05, + "loss": 0.6548, + "step": 384 + }, + { + "epoch": 0.9, + "learning_rate": 1.6440722806295237e-05, + "loss": 0.6869, + "step": 385 + }, + { + "epoch": 0.9, + "learning_rate": 1.6421445951185577e-05, + "loss": 0.6725, + "step": 386 + }, + { + "epoch": 0.9, + "learning_rate": 1.640212840462488e-05, + "loss": 0.7371, + "step": 387 + }, + { + "epoch": 0.9, + "learning_rate": 1.6382770289024677e-05, + "loss": 0.6615, + "step": 388 + }, + { + "epoch": 0.91, + "learning_rate": 1.6363371727053567e-05, + "loss": 0.653, + "step": 389 + }, + { + "epoch": 0.91, + "learning_rate": 1.6343932841636455e-05, + "loss": 0.7082, + "step": 390 + }, + { + "epoch": 0.91, + "learning_rate": 1.6324453755953772e-05, + "loss": 0.6532, + "step": 391 + }, + { + "epoch": 0.91, + "learning_rate": 1.6304934593440685e-05, + "loss": 0.6479, + "step": 392 + }, + { + "epoch": 0.92, + "learning_rate": 1.6285375477786322e-05, + "loss": 0.7503, + "step": 393 + }, + { + "epoch": 0.92, + "learning_rate": 1.6265776532932985e-05, + "loss": 0.6287, + "step": 394 + }, + { + "epoch": 0.92, + "learning_rate": 1.6246137883075363e-05, + "loss": 0.7058, + "step": 395 + }, + { + "epoch": 0.92, + "learning_rate": 1.6226459652659752e-05, + "loss": 0.7019, + "step": 396 + }, + { + "epoch": 0.92, + "learning_rate": 1.6206741966383268e-05, + "loss": 0.6444, + "step": 397 + }, + { + "epoch": 0.93, + "learning_rate": 1.618698494919304e-05, + "loss": 0.7104, + "step": 398 + }, + { + "epoch": 0.93, + "learning_rate": 1.6167188726285433e-05, + "loss": 0.6838, + "step": 399 + }, + { + "epoch": 0.93, + "learning_rate": 1.614735342310525e-05, + "loss": 0.6939, + "step": 400 + }, + { + "epoch": 0.93, + "learning_rate": 1.6127479165344948e-05, + "loss": 0.7191, + "step": 401 + }, + { + "epoch": 0.94, + "learning_rate": 1.6107566078943818e-05, + "loss": 0.7079, + "step": 402 + }, + { + "epoch": 0.94, + "learning_rate": 1.608761429008721e-05, + "loss": 0.6884, + "step": 403 + }, + { + "epoch": 0.94, + "learning_rate": 1.606762392520571e-05, + "loss": 0.6939, + "step": 404 + }, + { + "epoch": 0.94, + "learning_rate": 1.6047595110974376e-05, + "loss": 0.752, + "step": 405 + }, + { + "epoch": 0.95, + "learning_rate": 1.602752797431189e-05, + "loss": 0.6645, + "step": 406 + }, + { + "epoch": 0.95, + "learning_rate": 1.600742264237979e-05, + "loss": 0.695, + "step": 407 + }, + { + "epoch": 0.95, + "learning_rate": 1.598727924258164e-05, + "loss": 0.6907, + "step": 408 + }, + { + "epoch": 0.95, + "learning_rate": 1.5967097902562242e-05, + "loss": 0.7086, + "step": 409 + }, + { + "epoch": 0.95, + "learning_rate": 1.594687875020681e-05, + "loss": 0.6273, + "step": 410 + }, + { + "epoch": 0.96, + "learning_rate": 1.592662191364017e-05, + "loss": 0.6622, + "step": 411 + }, + { + "epoch": 0.96, + "learning_rate": 1.5906327521225947e-05, + "loss": 0.6826, + "step": 412 + }, + { + "epoch": 0.96, + "learning_rate": 1.5885995701565748e-05, + "loss": 0.6566, + "step": 413 + }, + { + "epoch": 0.96, + "learning_rate": 1.5865626583498355e-05, + "loss": 0.7096, + "step": 414 + }, + { + "epoch": 0.97, + "learning_rate": 1.584522029609889e-05, + "loss": 0.6077, + "step": 415 + }, + { + "epoch": 0.97, + "learning_rate": 1.5824776968678024e-05, + "loss": 0.702, + "step": 416 + }, + { + "epoch": 0.97, + "learning_rate": 1.5804296730781134e-05, + "loss": 0.751, + "step": 417 + }, + { + "epoch": 0.97, + "learning_rate": 1.5783779712187496e-05, + "loss": 0.7292, + "step": 418 + }, + { + "epoch": 0.98, + "learning_rate": 1.5763226042909455e-05, + "loss": 0.7162, + "step": 419 + }, + { + "epoch": 0.98, + "learning_rate": 1.574263585319161e-05, + "loss": 0.6971, + "step": 420 + }, + { + "epoch": 0.98, + "learning_rate": 1.5722009273509972e-05, + "loss": 0.7252, + "step": 421 + }, + { + "epoch": 0.98, + "learning_rate": 1.5701346434571162e-05, + "loss": 0.6367, + "step": 422 + }, + { + "epoch": 0.98, + "learning_rate": 1.568064746731156e-05, + "loss": 0.7049, + "step": 423 + }, + { + "epoch": 0.99, + "learning_rate": 1.5659912502896483e-05, + "loss": 0.6549, + "step": 424 + }, + { + "epoch": 0.99, + "learning_rate": 1.563914167271936e-05, + "loss": 0.6976, + "step": 425 + }, + { + "epoch": 0.99, + "learning_rate": 1.5618335108400893e-05, + "loss": 0.6406, + "step": 426 + }, + { + "epoch": 0.99, + "learning_rate": 1.5597492941788225e-05, + "loss": 0.6826, + "step": 427 + }, + { + "epoch": 1.0, + "learning_rate": 1.5576615304954094e-05, + "loss": 0.6795, + "step": 428 + }, + { + "epoch": 1.0, + "learning_rate": 1.5555702330196024e-05, + "loss": 0.6854, + "step": 429 + }, + { + "epoch": 1.0, + "learning_rate": 1.5534754150035454e-05, + "loss": 0.5909, + "step": 430 + }, + { + "epoch": 1.0, + "learning_rate": 1.551377089721692e-05, + "loss": 0.5324, + "step": 431 + }, + { + "epoch": 1.01, + "learning_rate": 1.5492752704707198e-05, + "loss": 0.5304, + "step": 432 + }, + { + "epoch": 1.01, + "learning_rate": 1.547169970569449e-05, + "loss": 0.5566, + "step": 433 + }, + { + "epoch": 1.01, + "learning_rate": 1.5450612033587526e-05, + "loss": 0.599, + "step": 434 + }, + { + "epoch": 1.01, + "learning_rate": 1.542948982201479e-05, + "loss": 0.5728, + "step": 435 + }, + { + "epoch": 1.02, + "learning_rate": 1.540833320482361e-05, + "loss": 0.6194, + "step": 436 + }, + { + "epoch": 1.02, + "learning_rate": 1.5387142316079345e-05, + "loss": 0.5917, + "step": 437 + }, + { + "epoch": 1.02, + "learning_rate": 1.536591729006453e-05, + "loss": 0.5592, + "step": 438 + }, + { + "epoch": 1.02, + "learning_rate": 1.5344658261278013e-05, + "loss": 0.5705, + "step": 439 + }, + { + "epoch": 1.02, + "learning_rate": 1.5323365364434114e-05, + "loss": 0.605, + "step": 440 + }, + { + "epoch": 1.03, + "learning_rate": 1.530203873446177e-05, + "loss": 0.5901, + "step": 441 + }, + { + "epoch": 1.03, + "learning_rate": 1.528067850650368e-05, + "loss": 0.6697, + "step": 442 + }, + { + "epoch": 1.03, + "learning_rate": 1.525928481591544e-05, + "loss": 0.5809, + "step": 443 + }, + { + "epoch": 1.03, + "learning_rate": 1.5237857798264701e-05, + "loss": 0.5935, + "step": 444 + }, + { + "epoch": 1.04, + "learning_rate": 1.5216397589330289e-05, + "loss": 0.6314, + "step": 445 + }, + { + "epoch": 1.04, + "learning_rate": 1.5194904325101374e-05, + "loss": 0.6142, + "step": 446 + }, + { + "epoch": 1.04, + "learning_rate": 1.5173378141776569e-05, + "loss": 0.5897, + "step": 447 + }, + { + "epoch": 1.04, + "learning_rate": 1.5151819175763112e-05, + "loss": 0.5823, + "step": 448 + }, + { + "epoch": 1.05, + "learning_rate": 1.5130227563675957e-05, + "loss": 0.5797, + "step": 449 + }, + { + "epoch": 1.05, + "learning_rate": 1.5108603442336949e-05, + "loss": 0.5766, + "step": 450 + }, + { + "epoch": 1.05, + "learning_rate": 1.5086946948773924e-05, + "loss": 0.6463, + "step": 451 + }, + { + "epoch": 1.05, + "learning_rate": 1.5065258220219864e-05, + "loss": 0.6017, + "step": 452 + }, + { + "epoch": 1.05, + "learning_rate": 1.5043537394112008e-05, + "loss": 0.6247, + "step": 453 + }, + { + "epoch": 1.06, + "learning_rate": 1.5021784608091e-05, + "loss": 0.6028, + "step": 454 + }, + { + "epoch": 1.06, + "learning_rate": 1.5000000000000002e-05, + "loss": 0.5747, + "step": 455 + }, + { + "epoch": 1.06, + "learning_rate": 1.4978183707883828e-05, + "loss": 0.6469, + "step": 456 + }, + { + "epoch": 1.06, + "learning_rate": 1.495633586998807e-05, + "loss": 0.5838, + "step": 457 + }, + { + "epoch": 1.07, + "learning_rate": 1.4934456624758216e-05, + "loss": 0.6178, + "step": 458 + }, + { + "epoch": 1.07, + "learning_rate": 1.4912546110838775e-05, + "loss": 0.6495, + "step": 459 + }, + { + "epoch": 1.07, + "learning_rate": 1.4890604467072406e-05, + "loss": 0.6027, + "step": 460 + }, + { + "epoch": 1.07, + "learning_rate": 1.4868631832499026e-05, + "loss": 0.6109, + "step": 461 + }, + { + "epoch": 1.08, + "learning_rate": 1.4846628346354934e-05, + "loss": 0.6282, + "step": 462 + }, + { + "epoch": 1.08, + "learning_rate": 1.4824594148071936e-05, + "loss": 0.6119, + "step": 463 + }, + { + "epoch": 1.08, + "learning_rate": 1.4802529377276447e-05, + "loss": 0.5984, + "step": 464 + }, + { + "epoch": 1.08, + "learning_rate": 1.4780434173788617e-05, + "loss": 0.5983, + "step": 465 + }, + { + "epoch": 1.08, + "learning_rate": 1.4758308677621451e-05, + "loss": 0.5657, + "step": 466 + }, + { + "epoch": 1.09, + "learning_rate": 1.4736153028979893e-05, + "loss": 0.5983, + "step": 467 + }, + { + "epoch": 1.09, + "learning_rate": 1.4713967368259981e-05, + "loss": 0.5957, + "step": 468 + }, + { + "epoch": 1.09, + "learning_rate": 1.4691751836047907e-05, + "loss": 0.5964, + "step": 469 + }, + { + "epoch": 1.09, + "learning_rate": 1.4669506573119179e-05, + "loss": 0.6677, + "step": 470 + }, + { + "epoch": 1.1, + "learning_rate": 1.4647231720437687e-05, + "loss": 0.6465, + "step": 471 + }, + { + "epoch": 1.1, + "learning_rate": 1.462492741915483e-05, + "loss": 0.6358, + "step": 472 + }, + { + "epoch": 1.1, + "learning_rate": 1.4602593810608619e-05, + "loss": 0.583, + "step": 473 + }, + { + "epoch": 1.1, + "learning_rate": 1.458023103632277e-05, + "loss": 0.6337, + "step": 474 + }, + { + "epoch": 1.11, + "learning_rate": 1.4557839238005831e-05, + "loss": 0.6057, + "step": 475 + }, + { + "epoch": 1.11, + "learning_rate": 1.453541855755026e-05, + "loss": 0.5934, + "step": 476 + }, + { + "epoch": 1.11, + "learning_rate": 1.4512969137031538e-05, + "loss": 0.5838, + "step": 477 + }, + { + "epoch": 1.11, + "learning_rate": 1.4490491118707265e-05, + "loss": 0.6365, + "step": 478 + }, + { + "epoch": 1.12, + "learning_rate": 1.4467984645016259e-05, + "loss": 0.5854, + "step": 479 + }, + { + "epoch": 1.12, + "learning_rate": 1.444544985857766e-05, + "loss": 0.6424, + "step": 480 + }, + { + "epoch": 1.12, + "learning_rate": 1.4422886902190014e-05, + "loss": 0.6091, + "step": 481 + }, + { + "epoch": 1.12, + "learning_rate": 1.4400295918830378e-05, + "loss": 0.6494, + "step": 482 + }, + { + "epoch": 1.12, + "learning_rate": 1.4377677051653404e-05, + "loss": 0.6019, + "step": 483 + }, + { + "epoch": 1.13, + "learning_rate": 1.4355030443990452e-05, + "loss": 0.6584, + "step": 484 + }, + { + "epoch": 1.13, + "learning_rate": 1.4332356239348654e-05, + "loss": 0.6543, + "step": 485 + }, + { + "epoch": 1.13, + "learning_rate": 1.4309654581410024e-05, + "loss": 0.6072, + "step": 486 + }, + { + "epoch": 1.13, + "learning_rate": 1.4286925614030542e-05, + "loss": 0.601, + "step": 487 + }, + { + "epoch": 1.14, + "learning_rate": 1.4264169481239245e-05, + "loss": 0.6171, + "step": 488 + }, + { + "epoch": 1.14, + "learning_rate": 1.4241386327237312e-05, + "loss": 0.5987, + "step": 489 + }, + { + "epoch": 1.14, + "learning_rate": 1.4218576296397143e-05, + "loss": 0.5854, + "step": 490 + }, + { + "epoch": 1.14, + "learning_rate": 1.419573953326146e-05, + "loss": 0.6481, + "step": 491 + }, + { + "epoch": 1.15, + "learning_rate": 1.4172876182542372e-05, + "loss": 0.6432, + "step": 492 + }, + { + "epoch": 1.15, + "learning_rate": 1.4149986389120485e-05, + "loss": 0.5956, + "step": 493 + }, + { + "epoch": 1.15, + "learning_rate": 1.4127070298043949e-05, + "loss": 0.6269, + "step": 494 + }, + { + "epoch": 1.15, + "learning_rate": 1.410412805452757e-05, + "loss": 0.6016, + "step": 495 + }, + { + "epoch": 1.15, + "learning_rate": 1.408115980395187e-05, + "loss": 0.5826, + "step": 496 + }, + { + "epoch": 1.16, + "learning_rate": 1.4058165691862176e-05, + "loss": 0.623, + "step": 497 + }, + { + "epoch": 1.16, + "learning_rate": 1.4035145863967692e-05, + "loss": 0.6192, + "step": 498 + }, + { + "epoch": 1.16, + "learning_rate": 1.4012100466140579e-05, + "loss": 0.6052, + "step": 499 + }, + { + "epoch": 1.16, + "learning_rate": 1.3989029644415035e-05, + "loss": 0.6726, + "step": 500 + }, + { + "epoch": 1.17, + "learning_rate": 1.3965933544986351e-05, + "loss": 0.6019, + "step": 501 + }, + { + "epoch": 1.17, + "learning_rate": 1.3942812314210015e-05, + "loss": 0.5643, + "step": 502 + }, + { + "epoch": 1.17, + "learning_rate": 1.3919666098600753e-05, + "loss": 0.6092, + "step": 503 + }, + { + "epoch": 1.17, + "learning_rate": 1.3896495044831622e-05, + "loss": 0.6284, + "step": 504 + }, + { + "epoch": 1.18, + "learning_rate": 1.3873299299733068e-05, + "loss": 0.645, + "step": 505 + }, + { + "epoch": 1.18, + "learning_rate": 1.3850079010292015e-05, + "loss": 0.5992, + "step": 506 + }, + { + "epoch": 1.18, + "learning_rate": 1.3826834323650899e-05, + "loss": 0.5849, + "step": 507 + }, + { + "epoch": 1.18, + "learning_rate": 1.3803565387106775e-05, + "loss": 0.6387, + "step": 508 + }, + { + "epoch": 1.19, + "learning_rate": 1.3780272348110356e-05, + "loss": 0.5909, + "step": 509 + }, + { + "epoch": 1.19, + "learning_rate": 1.3756955354265085e-05, + "loss": 0.6192, + "step": 510 + }, + { + "epoch": 1.19, + "learning_rate": 1.3733614553326211e-05, + "loss": 0.6146, + "step": 511 + }, + { + "epoch": 1.19, + "learning_rate": 1.3710250093199835e-05, + "loss": 0.6196, + "step": 512 + }, + { + "epoch": 1.19, + "learning_rate": 1.368686212194199e-05, + "loss": 0.6136, + "step": 513 + }, + { + "epoch": 1.2, + "learning_rate": 1.3663450787757685e-05, + "loss": 0.5698, + "step": 514 + }, + { + "epoch": 1.2, + "learning_rate": 1.3640016238999984e-05, + "loss": 0.5568, + "step": 515 + }, + { + "epoch": 1.2, + "learning_rate": 1.361655862416905e-05, + "loss": 0.6229, + "step": 516 + }, + { + "epoch": 1.2, + "learning_rate": 1.3593078091911218e-05, + "loss": 0.5576, + "step": 517 + }, + { + "epoch": 1.21, + "learning_rate": 1.3569574791018044e-05, + "loss": 0.5973, + "step": 518 + }, + { + "epoch": 1.21, + "learning_rate": 1.3546048870425356e-05, + "loss": 0.6043, + "step": 519 + }, + { + "epoch": 1.21, + "learning_rate": 1.3522500479212337e-05, + "loss": 0.6735, + "step": 520 + }, + { + "epoch": 1.21, + "learning_rate": 1.3498929766600543e-05, + "loss": 0.5867, + "step": 521 + }, + { + "epoch": 1.22, + "learning_rate": 1.3475336881952988e-05, + "loss": 0.6248, + "step": 522 + }, + { + "epoch": 1.22, + "learning_rate": 1.3451721974773179e-05, + "loss": 0.6047, + "step": 523 + }, + { + "epoch": 1.22, + "learning_rate": 1.342808519470418e-05, + "loss": 0.5915, + "step": 524 + }, + { + "epoch": 1.22, + "learning_rate": 1.340442669152766e-05, + "loss": 0.5845, + "step": 525 + }, + { + "epoch": 1.22, + "learning_rate": 1.3380746615162943e-05, + "loss": 0.6146, + "step": 526 + }, + { + "epoch": 1.23, + "learning_rate": 1.335704511566605e-05, + "loss": 0.6125, + "step": 527 + }, + { + "epoch": 1.23, + "learning_rate": 1.3333322343228763e-05, + "loss": 0.6096, + "step": 528 + }, + { + "epoch": 1.23, + "learning_rate": 1.3309578448177674e-05, + "loss": 0.5743, + "step": 529 + }, + { + "epoch": 1.23, + "learning_rate": 1.3285813580973207e-05, + "loss": 0.5816, + "step": 530 + }, + { + "epoch": 1.24, + "learning_rate": 1.3262027892208696e-05, + "loss": 0.6084, + "step": 531 + }, + { + "epoch": 1.24, + "learning_rate": 1.3238221532609412e-05, + "loss": 0.6414, + "step": 532 + }, + { + "epoch": 1.24, + "learning_rate": 1.3214394653031616e-05, + "loss": 0.6084, + "step": 533 + }, + { + "epoch": 1.24, + "learning_rate": 1.31905474044616e-05, + "loss": 0.5642, + "step": 534 + }, + { + "epoch": 1.25, + "learning_rate": 1.3166679938014728e-05, + "loss": 0.6187, + "step": 535 + }, + { + "epoch": 1.25, + "learning_rate": 1.3142792404934477e-05, + "loss": 0.5916, + "step": 536 + }, + { + "epoch": 1.25, + "learning_rate": 1.311888495659149e-05, + "loss": 0.5934, + "step": 537 + }, + { + "epoch": 1.25, + "learning_rate": 1.309495774448261e-05, + "loss": 0.5949, + "step": 538 + }, + { + "epoch": 1.25, + "learning_rate": 1.3071010920229909e-05, + "loss": 0.5749, + "step": 539 + }, + { + "epoch": 1.26, + "learning_rate": 1.3047044635579748e-05, + "loss": 0.5782, + "step": 540 + }, + { + "epoch": 1.26, + "learning_rate": 1.3023059042401797e-05, + "loss": 0.6343, + "step": 541 + }, + { + "epoch": 1.26, + "learning_rate": 1.2999054292688084e-05, + "loss": 0.6519, + "step": 542 + }, + { + "epoch": 1.26, + "learning_rate": 1.297503053855203e-05, + "loss": 0.5608, + "step": 543 + }, + { + "epoch": 1.27, + "learning_rate": 1.2950987932227482e-05, + "loss": 0.5568, + "step": 544 + }, + { + "epoch": 1.27, + "learning_rate": 1.2926926626067745e-05, + "loss": 0.6437, + "step": 545 + }, + { + "epoch": 1.27, + "learning_rate": 1.2902846772544625e-05, + "loss": 0.5968, + "step": 546 + }, + { + "epoch": 1.27, + "learning_rate": 1.2878748524247462e-05, + "loss": 0.5771, + "step": 547 + }, + { + "epoch": 1.28, + "learning_rate": 1.2854632033882155e-05, + "loss": 0.606, + "step": 548 + }, + { + "epoch": 1.28, + "learning_rate": 1.2830497454270206e-05, + "loss": 0.624, + "step": 549 + }, + { + "epoch": 1.28, + "learning_rate": 1.2806344938347734e-05, + "loss": 0.6084, + "step": 550 + }, + { + "epoch": 1.28, + "learning_rate": 1.2782174639164528e-05, + "loss": 0.5783, + "step": 551 + }, + { + "epoch": 1.29, + "learning_rate": 1.2757986709883059e-05, + "loss": 0.5804, + "step": 552 + }, + { + "epoch": 1.29, + "learning_rate": 1.2733781303777524e-05, + "loss": 0.6284, + "step": 553 + }, + { + "epoch": 1.29, + "learning_rate": 1.2709558574232852e-05, + "loss": 0.6072, + "step": 554 + }, + { + "epoch": 1.29, + "learning_rate": 1.2685318674743769e-05, + "loss": 0.575, + "step": 555 + }, + { + "epoch": 1.29, + "learning_rate": 1.2661061758913787e-05, + "loss": 0.5946, + "step": 556 + }, + { + "epoch": 1.3, + "learning_rate": 1.263678798045425e-05, + "loss": 0.5829, + "step": 557 + }, + { + "epoch": 1.3, + "learning_rate": 1.2612497493183365e-05, + "loss": 0.6373, + "step": 558 + }, + { + "epoch": 1.3, + "learning_rate": 1.2588190451025209e-05, + "loss": 0.6017, + "step": 559 + }, + { + "epoch": 1.3, + "learning_rate": 1.2563867008008773e-05, + "loss": 0.6126, + "step": 560 + }, + { + "epoch": 1.31, + "learning_rate": 1.2539527318266971e-05, + "loss": 0.5987, + "step": 561 + }, + { + "epoch": 1.31, + "learning_rate": 1.251517153603567e-05, + "loss": 0.6088, + "step": 562 + }, + { + "epoch": 1.31, + "learning_rate": 1.2490799815652719e-05, + "loss": 0.5663, + "step": 563 + }, + { + "epoch": 1.31, + "learning_rate": 1.2466412311556952e-05, + "loss": 0.5867, + "step": 564 + }, + { + "epoch": 1.32, + "learning_rate": 1.244200917828723e-05, + "loss": 0.6184, + "step": 565 + }, + { + "epoch": 1.32, + "learning_rate": 1.2417590570481454e-05, + "loss": 0.6088, + "step": 566 + }, + { + "epoch": 1.32, + "learning_rate": 1.2393156642875579e-05, + "loss": 0.5844, + "step": 567 + }, + { + "epoch": 1.32, + "learning_rate": 1.2368707550302638e-05, + "loss": 0.6123, + "step": 568 + }, + { + "epoch": 1.32, + "learning_rate": 1.2344243447691767e-05, + "loss": 0.588, + "step": 569 + }, + { + "epoch": 1.33, + "learning_rate": 1.2319764490067212e-05, + "loss": 0.6188, + "step": 570 + }, + { + "epoch": 1.33, + "learning_rate": 1.2295270832547358e-05, + "loss": 0.5706, + "step": 571 + }, + { + "epoch": 1.33, + "learning_rate": 1.2270762630343734e-05, + "loss": 0.5963, + "step": 572 + }, + { + "epoch": 1.33, + "learning_rate": 1.2246240038760042e-05, + "loss": 0.6494, + "step": 573 + }, + { + "epoch": 1.34, + "learning_rate": 1.2221703213191161e-05, + "loss": 0.5995, + "step": 574 + }, + { + "epoch": 1.34, + "learning_rate": 1.2197152309122173e-05, + "loss": 0.58, + "step": 575 + }, + { + "epoch": 1.34, + "learning_rate": 1.217258748212737e-05, + "loss": 0.6639, + "step": 576 + }, + { + "epoch": 1.34, + "learning_rate": 1.214800888786927e-05, + "loss": 0.6121, + "step": 577 + }, + { + "epoch": 1.35, + "learning_rate": 1.2123416682097635e-05, + "loss": 0.6036, + "step": 578 + }, + { + "epoch": 1.35, + "learning_rate": 1.2098811020648475e-05, + "loss": 0.6038, + "step": 579 + }, + { + "epoch": 1.35, + "learning_rate": 1.2074192059443077e-05, + "loss": 0.5994, + "step": 580 + }, + { + "epoch": 1.35, + "learning_rate": 1.204955995448699e-05, + "loss": 0.6153, + "step": 581 + }, + { + "epoch": 1.36, + "learning_rate": 1.2024914861869064e-05, + "loss": 0.6163, + "step": 582 + }, + { + "epoch": 1.36, + "learning_rate": 1.2000256937760446e-05, + "loss": 0.6273, + "step": 583 + }, + { + "epoch": 1.36, + "learning_rate": 1.1975586338413594e-05, + "loss": 0.5966, + "step": 584 + }, + { + "epoch": 1.36, + "learning_rate": 1.1950903220161286e-05, + "loss": 0.6354, + "step": 585 + }, + { + "epoch": 1.36, + "learning_rate": 1.1926207739415624e-05, + "loss": 0.6356, + "step": 586 + }, + { + "epoch": 1.37, + "learning_rate": 1.1901500052667068e-05, + "loss": 0.5992, + "step": 587 + }, + { + "epoch": 1.37, + "learning_rate": 1.1876780316483401e-05, + "loss": 0.6105, + "step": 588 + }, + { + "epoch": 1.37, + "learning_rate": 1.1852048687508775e-05, + "loss": 0.6566, + "step": 589 + }, + { + "epoch": 1.37, + "learning_rate": 1.1827305322462702e-05, + "loss": 0.6522, + "step": 590 + }, + { + "epoch": 1.38, + "learning_rate": 1.180255037813906e-05, + "loss": 0.6053, + "step": 591 + }, + { + "epoch": 1.38, + "learning_rate": 1.1777784011405104e-05, + "loss": 0.678, + "step": 592 + }, + { + "epoch": 1.38, + "learning_rate": 1.1753006379200478e-05, + "loss": 0.6909, + "step": 593 + }, + { + "epoch": 1.38, + "learning_rate": 1.1728217638536196e-05, + "loss": 0.5869, + "step": 594 + }, + { + "epoch": 1.39, + "learning_rate": 1.1703417946493682e-05, + "loss": 0.573, + "step": 595 + }, + { + "epoch": 1.39, + "learning_rate": 1.1678607460223752e-05, + "loss": 0.5586, + "step": 596 + }, + { + "epoch": 1.39, + "learning_rate": 1.1653786336945614e-05, + "loss": 0.59, + "step": 597 + }, + { + "epoch": 1.39, + "learning_rate": 1.162895473394589e-05, + "loss": 0.622, + "step": 598 + }, + { + "epoch": 1.39, + "learning_rate": 1.1604112808577603e-05, + "loss": 0.6025, + "step": 599 + }, + { + "epoch": 1.4, + "learning_rate": 1.1579260718259197e-05, + "loss": 0.5679, + "step": 600 + }, + { + "epoch": 1.4, + "learning_rate": 1.1554398620473516e-05, + "loss": 0.5793, + "step": 601 + }, + { + "epoch": 1.4, + "learning_rate": 1.1529526672766838e-05, + "loss": 0.5893, + "step": 602 + }, + { + "epoch": 1.4, + "learning_rate": 1.1504645032747832e-05, + "loss": 0.5826, + "step": 603 + }, + { + "epoch": 1.41, + "learning_rate": 1.1479753858086608e-05, + "loss": 0.6054, + "step": 604 + }, + { + "epoch": 1.41, + "learning_rate": 1.1454853306513687e-05, + "loss": 0.6011, + "step": 605 + }, + { + "epoch": 1.41, + "learning_rate": 1.1429943535819005e-05, + "loss": 0.5916, + "step": 606 + }, + { + "epoch": 1.41, + "learning_rate": 1.1405024703850929e-05, + "loss": 0.6192, + "step": 607 + }, + { + "epoch": 1.42, + "learning_rate": 1.1380096968515233e-05, + "loss": 0.5894, + "step": 608 + }, + { + "epoch": 1.42, + "learning_rate": 1.1355160487774119e-05, + "loss": 0.5864, + "step": 609 + }, + { + "epoch": 1.42, + "learning_rate": 1.1330215419645202e-05, + "loss": 0.6241, + "step": 610 + }, + { + "epoch": 1.42, + "learning_rate": 1.130526192220052e-05, + "loss": 0.5776, + "step": 611 + }, + { + "epoch": 1.42, + "learning_rate": 1.128030015356551e-05, + "loss": 0.5451, + "step": 612 + }, + { + "epoch": 1.43, + "learning_rate": 1.1255330271918048e-05, + "loss": 0.6144, + "step": 613 + }, + { + "epoch": 1.43, + "learning_rate": 1.1230352435487393e-05, + "loss": 0.6065, + "step": 614 + }, + { + "epoch": 1.43, + "learning_rate": 1.1205366802553231e-05, + "loss": 0.6133, + "step": 615 + }, + { + "epoch": 1.43, + "learning_rate": 1.1180373531444648e-05, + "loss": 0.6113, + "step": 616 + }, + { + "epoch": 1.44, + "learning_rate": 1.1155372780539125e-05, + "loss": 0.6083, + "step": 617 + }, + { + "epoch": 1.44, + "learning_rate": 1.1130364708261552e-05, + "loss": 0.6032, + "step": 618 + }, + { + "epoch": 1.44, + "learning_rate": 1.11053494730832e-05, + "loss": 0.6884, + "step": 619 + }, + { + "epoch": 1.44, + "learning_rate": 1.1080327233520744e-05, + "loss": 0.6117, + "step": 620 + }, + { + "epoch": 1.45, + "learning_rate": 1.1055298148135236e-05, + "loss": 0.6232, + "step": 621 + }, + { + "epoch": 1.45, + "learning_rate": 1.103026237553111e-05, + "loss": 0.5988, + "step": 622 + }, + { + "epoch": 1.45, + "learning_rate": 1.1005220074355172e-05, + "loss": 0.5933, + "step": 623 + }, + { + "epoch": 1.45, + "learning_rate": 1.098017140329561e-05, + "loss": 0.6088, + "step": 624 + }, + { + "epoch": 1.46, + "learning_rate": 1.0955116521080959e-05, + "loss": 0.6253, + "step": 625 + }, + { + "epoch": 1.46, + "learning_rate": 1.0930055586479132e-05, + "loss": 0.5863, + "step": 626 + }, + { + "epoch": 1.46, + "learning_rate": 1.090498875829638e-05, + "loss": 0.5868, + "step": 627 + }, + { + "epoch": 1.46, + "learning_rate": 1.0879916195376307e-05, + "loss": 0.5791, + "step": 628 + }, + { + "epoch": 1.46, + "learning_rate": 1.085483805659886e-05, + "loss": 0.5852, + "step": 629 + }, + { + "epoch": 1.47, + "learning_rate": 1.0829754500879308e-05, + "loss": 0.5868, + "step": 630 + }, + { + "epoch": 1.47, + "learning_rate": 1.0804665687167262e-05, + "loss": 0.5748, + "step": 631 + }, + { + "epoch": 1.47, + "learning_rate": 1.0779571774445634e-05, + "loss": 0.6086, + "step": 632 + }, + { + "epoch": 1.47, + "learning_rate": 1.0754472921729661e-05, + "loss": 0.6666, + "step": 633 + }, + { + "epoch": 1.48, + "learning_rate": 1.0729369288065878e-05, + "loss": 0.635, + "step": 634 + }, + { + "epoch": 1.48, + "learning_rate": 1.070426103253112e-05, + "loss": 0.613, + "step": 635 + }, + { + "epoch": 1.48, + "learning_rate": 1.0679148314231504e-05, + "loss": 0.6311, + "step": 636 + }, + { + "epoch": 1.48, + "learning_rate": 1.0654031292301432e-05, + "loss": 0.6307, + "step": 637 + }, + { + "epoch": 1.49, + "learning_rate": 1.0628910125902574e-05, + "loss": 0.6386, + "step": 638 + }, + { + "epoch": 1.49, + "learning_rate": 1.0603784974222862e-05, + "loss": 0.5951, + "step": 639 + }, + { + "epoch": 1.49, + "learning_rate": 1.0578655996475486e-05, + "loss": 0.5882, + "step": 640 + }, + { + "epoch": 1.49, + "learning_rate": 1.0553523351897879e-05, + "loss": 0.606, + "step": 641 + }, + { + "epoch": 1.49, + "learning_rate": 1.0528387199750706e-05, + "loss": 0.5884, + "step": 642 + }, + { + "epoch": 1.5, + "learning_rate": 1.0503247699316867e-05, + "loss": 0.6499, + "step": 643 + }, + { + "epoch": 1.5, + "learning_rate": 1.0478105009900473e-05, + "loss": 0.6043, + "step": 644 + }, + { + "epoch": 1.5, + "learning_rate": 1.0452959290825846e-05, + "loss": 0.5872, + "step": 645 + }, + { + "epoch": 1.5, + "learning_rate": 1.0427810701436502e-05, + "loss": 0.619, + "step": 646 + }, + { + "epoch": 1.51, + "learning_rate": 1.0402659401094154e-05, + "loss": 0.6257, + "step": 647 + }, + { + "epoch": 1.51, + "learning_rate": 1.0377505549177683e-05, + "loss": 0.6082, + "step": 648 + }, + { + "epoch": 1.51, + "learning_rate": 1.0352349305082148e-05, + "loss": 0.5901, + "step": 649 + }, + { + "epoch": 1.51, + "learning_rate": 1.0327190828217763e-05, + "loss": 0.6132, + "step": 650 + }, + { + "epoch": 1.52, + "learning_rate": 1.030203027800889e-05, + "loss": 0.6139, + "step": 651 + }, + { + "epoch": 1.52, + "learning_rate": 1.027686781389303e-05, + "loss": 0.6135, + "step": 652 + }, + { + "epoch": 1.52, + "learning_rate": 1.0251703595319816e-05, + "loss": 0.5351, + "step": 653 + }, + { + "epoch": 1.52, + "learning_rate": 1.0226537781749988e-05, + "loss": 0.5973, + "step": 654 + }, + { + "epoch": 1.53, + "learning_rate": 1.0201370532654404e-05, + "loss": 0.5795, + "step": 655 + }, + { + "epoch": 1.53, + "learning_rate": 1.0176202007513016e-05, + "loss": 0.5887, + "step": 656 + }, + { + "epoch": 1.53, + "learning_rate": 1.015103236581386e-05, + "loss": 0.5916, + "step": 657 + }, + { + "epoch": 1.53, + "learning_rate": 1.012586176705205e-05, + "loss": 0.5375, + "step": 658 + }, + { + "epoch": 1.53, + "learning_rate": 1.0100690370728756e-05, + "loss": 0.6302, + "step": 659 + }, + { + "epoch": 1.54, + "learning_rate": 1.0075518336350218e-05, + "loss": 0.5781, + "step": 660 + }, + { + "epoch": 1.54, + "learning_rate": 1.0050345823426704e-05, + "loss": 0.5958, + "step": 661 + }, + { + "epoch": 1.54, + "learning_rate": 1.0025172991471523e-05, + "loss": 0.6014, + "step": 662 + }, + { + "epoch": 1.54, + "learning_rate": 1e-05, + "loss": 0.6239, + "step": 663 + }, + { + "epoch": 1.55, + "learning_rate": 9.97482700852848e-06, + "loss": 0.5937, + "step": 664 + }, + { + "epoch": 1.55, + "learning_rate": 9.9496541765733e-06, + "loss": 0.587, + "step": 665 + }, + { + "epoch": 1.55, + "learning_rate": 9.924481663649785e-06, + "loss": 0.569, + "step": 666 + }, + { + "epoch": 1.55, + "learning_rate": 9.899309629271246e-06, + "loss": 0.5875, + "step": 667 + }, + { + "epoch": 1.56, + "learning_rate": 9.874138232947953e-06, + "loss": 0.6128, + "step": 668 + }, + { + "epoch": 1.56, + "learning_rate": 9.848967634186142e-06, + "loss": 0.595, + "step": 669 + }, + { + "epoch": 1.56, + "learning_rate": 9.823797992486986e-06, + "loss": 0.5747, + "step": 670 + }, + { + "epoch": 1.56, + "learning_rate": 9.7986294673456e-06, + "loss": 0.6317, + "step": 671 + }, + { + "epoch": 1.56, + "learning_rate": 9.773462218250014e-06, + "loss": 0.5908, + "step": 672 + }, + { + "epoch": 1.57, + "learning_rate": 9.748296404680189e-06, + "loss": 0.6548, + "step": 673 + }, + { + "epoch": 1.57, + "learning_rate": 9.723132186106973e-06, + "loss": 0.6308, + "step": 674 + }, + { + "epoch": 1.57, + "learning_rate": 9.697969721991114e-06, + "loss": 0.5918, + "step": 675 + }, + { + "epoch": 1.57, + "learning_rate": 9.67280917178224e-06, + "loss": 0.5854, + "step": 676 + }, + { + "epoch": 1.58, + "learning_rate": 9.647650694917857e-06, + "loss": 0.6282, + "step": 677 + }, + { + "epoch": 1.58, + "learning_rate": 9.62249445082232e-06, + "loss": 0.6365, + "step": 678 + }, + { + "epoch": 1.58, + "learning_rate": 9.597340598905851e-06, + "loss": 0.6052, + "step": 679 + }, + { + "epoch": 1.58, + "learning_rate": 9.572189298563501e-06, + "loss": 0.5366, + "step": 680 + }, + { + "epoch": 1.59, + "learning_rate": 9.547040709174159e-06, + "loss": 0.6306, + "step": 681 + }, + { + "epoch": 1.59, + "learning_rate": 9.52189499009953e-06, + "loss": 0.5875, + "step": 682 + }, + { + "epoch": 1.59, + "learning_rate": 9.496752300683133e-06, + "loss": 0.5811, + "step": 683 + }, + { + "epoch": 1.59, + "learning_rate": 9.471612800249295e-06, + "loss": 0.5936, + "step": 684 + }, + { + "epoch": 1.59, + "learning_rate": 9.446476648102123e-06, + "loss": 0.6115, + "step": 685 + }, + { + "epoch": 1.6, + "learning_rate": 9.421344003524517e-06, + "loss": 0.5799, + "step": 686 + }, + { + "epoch": 1.6, + "learning_rate": 9.39621502577714e-06, + "loss": 0.6122, + "step": 687 + }, + { + "epoch": 1.6, + "learning_rate": 9.37108987409743e-06, + "loss": 0.5786, + "step": 688 + }, + { + "epoch": 1.6, + "learning_rate": 9.34596870769857e-06, + "loss": 0.5509, + "step": 689 + }, + { + "epoch": 1.61, + "learning_rate": 9.320851685768498e-06, + "loss": 0.5976, + "step": 690 + }, + { + "epoch": 1.61, + "learning_rate": 9.295738967468881e-06, + "loss": 0.6013, + "step": 691 + }, + { + "epoch": 1.61, + "learning_rate": 9.270630711934124e-06, + "loss": 0.674, + "step": 692 + }, + { + "epoch": 1.61, + "learning_rate": 9.24552707827034e-06, + "loss": 0.5796, + "step": 693 + }, + { + "epoch": 1.62, + "learning_rate": 9.22042822555437e-06, + "loss": 0.6119, + "step": 694 + }, + { + "epoch": 1.62, + "learning_rate": 9.195334312832742e-06, + "loss": 0.6009, + "step": 695 + }, + { + "epoch": 1.62, + "learning_rate": 9.170245499120694e-06, + "loss": 0.6007, + "step": 696 + }, + { + "epoch": 1.62, + "learning_rate": 9.145161943401143e-06, + "loss": 0.601, + "step": 697 + }, + { + "epoch": 1.63, + "learning_rate": 9.120083804623694e-06, + "loss": 0.5624, + "step": 698 + }, + { + "epoch": 1.63, + "learning_rate": 9.095011241703623e-06, + "loss": 0.6645, + "step": 699 + }, + { + "epoch": 1.63, + "learning_rate": 9.069944413520873e-06, + "loss": 0.561, + "step": 700 + }, + { + "epoch": 1.63, + "learning_rate": 9.044883478919043e-06, + "loss": 0.6389, + "step": 701 + }, + { + "epoch": 1.63, + "learning_rate": 9.019828596704394e-06, + "loss": 0.5974, + "step": 702 + }, + { + "epoch": 1.64, + "learning_rate": 8.994779925644832e-06, + "loss": 0.6121, + "step": 703 + }, + { + "epoch": 1.64, + "learning_rate": 8.969737624468894e-06, + "loss": 0.5613, + "step": 704 + }, + { + "epoch": 1.64, + "learning_rate": 8.944701851864767e-06, + "loss": 0.5967, + "step": 705 + }, + { + "epoch": 1.64, + "learning_rate": 8.919672766479257e-06, + "loss": 0.6217, + "step": 706 + }, + { + "epoch": 1.65, + "learning_rate": 8.894650526916802e-06, + "loss": 0.5319, + "step": 707 + }, + { + "epoch": 1.65, + "learning_rate": 8.869635291738452e-06, + "loss": 0.588, + "step": 708 + }, + { + "epoch": 1.65, + "learning_rate": 8.844627219460879e-06, + "loss": 0.5376, + "step": 709 + }, + { + "epoch": 1.65, + "learning_rate": 8.819626468555356e-06, + "loss": 0.5743, + "step": 710 + }, + { + "epoch": 1.66, + "learning_rate": 8.79463319744677e-06, + "loss": 0.6467, + "step": 711 + }, + { + "epoch": 1.66, + "learning_rate": 8.76964756451261e-06, + "loss": 0.5932, + "step": 712 + }, + { + "epoch": 1.66, + "learning_rate": 8.744669728081959e-06, + "loss": 0.6343, + "step": 713 + }, + { + "epoch": 1.66, + "learning_rate": 8.719699846434493e-06, + "loss": 0.5945, + "step": 714 + }, + { + "epoch": 1.66, + "learning_rate": 8.694738077799487e-06, + "loss": 0.6006, + "step": 715 + }, + { + "epoch": 1.67, + "learning_rate": 8.669784580354801e-06, + "loss": 0.5621, + "step": 716 + }, + { + "epoch": 1.67, + "learning_rate": 8.644839512225886e-06, + "loss": 0.5545, + "step": 717 + }, + { + "epoch": 1.67, + "learning_rate": 8.61990303148477e-06, + "loss": 0.5601, + "step": 718 + }, + { + "epoch": 1.67, + "learning_rate": 8.594975296149076e-06, + "loss": 0.5791, + "step": 719 + }, + { + "epoch": 1.68, + "learning_rate": 8.570056464180998e-06, + "loss": 0.5561, + "step": 720 + }, + { + "epoch": 1.68, + "learning_rate": 8.54514669348632e-06, + "loss": 0.6331, + "step": 721 + }, + { + "epoch": 1.68, + "learning_rate": 8.520246141913393e-06, + "loss": 0.6097, + "step": 722 + }, + { + "epoch": 1.68, + "learning_rate": 8.49535496725217e-06, + "loss": 0.6355, + "step": 723 + }, + { + "epoch": 1.69, + "learning_rate": 8.470473327233167e-06, + "loss": 0.65, + "step": 724 + }, + { + "epoch": 1.69, + "learning_rate": 8.445601379526482e-06, + "loss": 0.5875, + "step": 725 + }, + { + "epoch": 1.69, + "learning_rate": 8.420739281740806e-06, + "loss": 0.5474, + "step": 726 + }, + { + "epoch": 1.69, + "learning_rate": 8.395887191422397e-06, + "loss": 0.6169, + "step": 727 + }, + { + "epoch": 1.69, + "learning_rate": 8.371045266054114e-06, + "loss": 0.6755, + "step": 728 + }, + { + "epoch": 1.7, + "learning_rate": 8.346213663054388e-06, + "loss": 0.627, + "step": 729 + }, + { + "epoch": 1.7, + "learning_rate": 8.321392539776251e-06, + "loss": 0.6129, + "step": 730 + }, + { + "epoch": 1.7, + "learning_rate": 8.296582053506318e-06, + "loss": 0.5795, + "step": 731 + }, + { + "epoch": 1.7, + "learning_rate": 8.271782361463806e-06, + "loss": 0.5766, + "step": 732 + }, + { + "epoch": 1.71, + "learning_rate": 8.246993620799526e-06, + "loss": 0.604, + "step": 733 + }, + { + "epoch": 1.71, + "learning_rate": 8.222215988594899e-06, + "loss": 0.6171, + "step": 734 + }, + { + "epoch": 1.71, + "learning_rate": 8.197449621860944e-06, + "loss": 0.5751, + "step": 735 + }, + { + "epoch": 1.71, + "learning_rate": 8.172694677537303e-06, + "loss": 0.5633, + "step": 736 + }, + { + "epoch": 1.72, + "learning_rate": 8.147951312491227e-06, + "loss": 0.6157, + "step": 737 + }, + { + "epoch": 1.72, + "learning_rate": 8.123219683516604e-06, + "loss": 0.6559, + "step": 738 + }, + { + "epoch": 1.72, + "learning_rate": 8.098499947332935e-06, + "loss": 0.5719, + "step": 739 + }, + { + "epoch": 1.72, + "learning_rate": 8.073792260584377e-06, + "loss": 0.6274, + "step": 740 + }, + { + "epoch": 1.73, + "learning_rate": 8.04909677983872e-06, + "loss": 0.5692, + "step": 741 + }, + { + "epoch": 1.73, + "learning_rate": 8.02441366158641e-06, + "loss": 0.5767, + "step": 742 + }, + { + "epoch": 1.73, + "learning_rate": 7.999743062239557e-06, + "loss": 0.5698, + "step": 743 + }, + { + "epoch": 1.73, + "learning_rate": 7.975085138130938e-06, + "loss": 0.6432, + "step": 744 + }, + { + "epoch": 1.73, + "learning_rate": 7.950440045513014e-06, + "loss": 0.574, + "step": 745 + }, + { + "epoch": 1.74, + "learning_rate": 7.925807940556927e-06, + "loss": 0.5924, + "step": 746 + }, + { + "epoch": 1.74, + "learning_rate": 7.901188979351527e-06, + "loss": 0.5194, + "step": 747 + }, + { + "epoch": 1.74, + "learning_rate": 7.876583317902368e-06, + "loss": 0.5652, + "step": 748 + }, + { + "epoch": 1.74, + "learning_rate": 7.851991112130734e-06, + "loss": 0.5605, + "step": 749 + }, + { + "epoch": 1.75, + "learning_rate": 7.827412517872634e-06, + "loss": 0.6194, + "step": 750 + }, + { + "epoch": 1.75, + "learning_rate": 7.802847690877832e-06, + "loss": 0.609, + "step": 751 + }, + { + "epoch": 1.75, + "learning_rate": 7.778296786808842e-06, + "loss": 0.5565, + "step": 752 + }, + { + "epoch": 1.75, + "learning_rate": 7.753759961239965e-06, + "loss": 0.5755, + "step": 753 + }, + { + "epoch": 1.76, + "learning_rate": 7.72923736965627e-06, + "loss": 0.5936, + "step": 754 + }, + { + "epoch": 1.76, + "learning_rate": 7.704729167452647e-06, + "loss": 0.5775, + "step": 755 + }, + { + "epoch": 1.76, + "learning_rate": 7.680235509932791e-06, + "loss": 0.6103, + "step": 756 + }, + { + "epoch": 1.76, + "learning_rate": 7.655756552308238e-06, + "loss": 0.6325, + "step": 757 + }, + { + "epoch": 1.76, + "learning_rate": 7.631292449697365e-06, + "loss": 0.6272, + "step": 758 + }, + { + "epoch": 1.77, + "learning_rate": 7.606843357124426e-06, + "loss": 0.5829, + "step": 759 + }, + { + "epoch": 1.77, + "learning_rate": 7.582409429518548e-06, + "loss": 0.6285, + "step": 760 + }, + { + "epoch": 1.77, + "learning_rate": 7.557990821712769e-06, + "loss": 0.596, + "step": 761 + }, + { + "epoch": 1.77, + "learning_rate": 7.5335876884430495e-06, + "loss": 0.5685, + "step": 762 + }, + { + "epoch": 1.78, + "learning_rate": 7.5092001843472825e-06, + "loss": 0.6278, + "step": 763 + }, + { + "epoch": 1.78, + "learning_rate": 7.484828463964331e-06, + "loss": 0.5941, + "step": 764 + }, + { + "epoch": 1.78, + "learning_rate": 7.460472681733031e-06, + "loss": 0.6203, + "step": 765 + }, + { + "epoch": 1.78, + "learning_rate": 7.43613299199123e-06, + "loss": 0.5668, + "step": 766 + }, + { + "epoch": 1.79, + "learning_rate": 7.411809548974792e-06, + "loss": 0.6239, + "step": 767 + }, + { + "epoch": 1.79, + "learning_rate": 7.387502506816638e-06, + "loss": 0.5554, + "step": 768 + }, + { + "epoch": 1.79, + "learning_rate": 7.3632120195457515e-06, + "loss": 0.6296, + "step": 769 + }, + { + "epoch": 1.79, + "learning_rate": 7.338938241086217e-06, + "loss": 0.6107, + "step": 770 + }, + { + "epoch": 1.8, + "learning_rate": 7.314681325256232e-06, + "loss": 0.6263, + "step": 771 + }, + { + "epoch": 1.8, + "learning_rate": 7.29044142576715e-06, + "loss": 0.5571, + "step": 772 + }, + { + "epoch": 1.8, + "learning_rate": 7.26621869622248e-06, + "loss": 0.6224, + "step": 773 + }, + { + "epoch": 1.8, + "learning_rate": 7.242013290116944e-06, + "loss": 0.5864, + "step": 774 + }, + { + "epoch": 1.8, + "learning_rate": 7.217825360835475e-06, + "loss": 0.5982, + "step": 775 + }, + { + "epoch": 1.81, + "learning_rate": 7.193655061652269e-06, + "loss": 0.6405, + "step": 776 + }, + { + "epoch": 1.81, + "learning_rate": 7.169502545729798e-06, + "loss": 0.602, + "step": 777 + }, + { + "epoch": 1.81, + "learning_rate": 7.145367966117846e-06, + "loss": 0.6393, + "step": 778 + }, + { + "epoch": 1.81, + "learning_rate": 7.12125147575254e-06, + "loss": 0.6259, + "step": 779 + }, + { + "epoch": 1.82, + "learning_rate": 7.097153227455379e-06, + "loss": 0.6047, + "step": 780 + }, + { + "epoch": 1.82, + "learning_rate": 7.07307337393226e-06, + "loss": 0.595, + "step": 781 + }, + { + "epoch": 1.82, + "learning_rate": 7.049012067772521e-06, + "loss": 0.5885, + "step": 782 + }, + { + "epoch": 1.82, + "learning_rate": 7.024969461447973e-06, + "loss": 0.6052, + "step": 783 + }, + { + "epoch": 1.83, + "learning_rate": 7.0009457073119166e-06, + "loss": 0.6139, + "step": 784 + }, + { + "epoch": 1.83, + "learning_rate": 6.976940957598206e-06, + "loss": 0.6271, + "step": 785 + }, + { + "epoch": 1.83, + "learning_rate": 6.952955364420255e-06, + "loss": 0.63, + "step": 786 + }, + { + "epoch": 1.83, + "learning_rate": 6.928989079770094e-06, + "loss": 0.6221, + "step": 787 + }, + { + "epoch": 1.83, + "learning_rate": 6.905042255517393e-06, + "loss": 0.6069, + "step": 788 + }, + { + "epoch": 1.84, + "learning_rate": 6.881115043408512e-06, + "loss": 0.6313, + "step": 789 + }, + { + "epoch": 1.84, + "learning_rate": 6.8572075950655255e-06, + "loss": 0.583, + "step": 790 + }, + { + "epoch": 1.84, + "learning_rate": 6.833320061985278e-06, + "loss": 0.6004, + "step": 791 + }, + { + "epoch": 1.84, + "learning_rate": 6.809452595538403e-06, + "loss": 0.619, + "step": 792 + }, + { + "epoch": 1.85, + "learning_rate": 6.785605346968387e-06, + "loss": 0.5648, + "step": 793 + }, + { + "epoch": 1.85, + "learning_rate": 6.761778467390592e-06, + "loss": 0.6056, + "step": 794 + }, + { + "epoch": 1.85, + "learning_rate": 6.7379721077913095e-06, + "loss": 0.6451, + "step": 795 + }, + { + "epoch": 1.85, + "learning_rate": 6.714186419026798e-06, + "loss": 0.5826, + "step": 796 + }, + { + "epoch": 1.86, + "learning_rate": 6.690421551822333e-06, + "loss": 0.5715, + "step": 797 + }, + { + "epoch": 1.86, + "learning_rate": 6.666677656771239e-06, + "loss": 0.5941, + "step": 798 + }, + { + "epoch": 1.86, + "learning_rate": 6.6429548843339554e-06, + "loss": 0.6039, + "step": 799 + }, + { + "epoch": 1.86, + "learning_rate": 6.619253384837059e-06, + "loss": 0.5799, + "step": 800 + }, + { + "epoch": 1.86, + "learning_rate": 6.595573308472338e-06, + "loss": 0.6366, + "step": 801 + }, + { + "epoch": 1.87, + "learning_rate": 6.57191480529582e-06, + "loss": 0.5695, + "step": 802 + }, + { + "epoch": 1.87, + "learning_rate": 6.548278025226822e-06, + "loss": 0.6168, + "step": 803 + }, + { + "epoch": 1.87, + "learning_rate": 6.524663118047015e-06, + "loss": 0.6392, + "step": 804 + }, + { + "epoch": 1.87, + "learning_rate": 6.501070233399458e-06, + "loss": 0.6004, + "step": 805 + }, + { + "epoch": 1.88, + "learning_rate": 6.4774995207876654e-06, + "loss": 0.6051, + "step": 806 + }, + { + "epoch": 1.88, + "learning_rate": 6.453951129574644e-06, + "loss": 0.5985, + "step": 807 + }, + { + "epoch": 1.88, + "learning_rate": 6.4304252089819605e-06, + "loss": 0.5747, + "step": 808 + }, + { + "epoch": 1.88, + "learning_rate": 6.406921908088783e-06, + "loss": 0.5517, + "step": 809 + }, + { + "epoch": 1.89, + "learning_rate": 6.3834413758309525e-06, + "loss": 0.5953, + "step": 810 + }, + { + "epoch": 1.89, + "learning_rate": 6.3599837610000194e-06, + "loss": 0.5978, + "step": 811 + }, + { + "epoch": 1.89, + "learning_rate": 6.336549212242318e-06, + "loss": 0.5733, + "step": 812 + }, + { + "epoch": 1.89, + "learning_rate": 6.3131378780580134e-06, + "loss": 0.5442, + "step": 813 + }, + { + "epoch": 1.9, + "learning_rate": 6.289749906800166e-06, + "loss": 0.5958, + "step": 814 + }, + { + "epoch": 1.9, + "learning_rate": 6.266385446673791e-06, + "loss": 0.5907, + "step": 815 + }, + { + "epoch": 1.9, + "learning_rate": 6.243044645734917e-06, + "loss": 0.6512, + "step": 816 + }, + { + "epoch": 1.9, + "learning_rate": 6.219727651889647e-06, + "loss": 0.5674, + "step": 817 + }, + { + "epoch": 1.9, + "learning_rate": 6.196434612893229e-06, + "loss": 0.5565, + "step": 818 + }, + { + "epoch": 1.91, + "learning_rate": 6.173165676349103e-06, + "loss": 0.6233, + "step": 819 + }, + { + "epoch": 1.91, + "learning_rate": 6.149920989707989e-06, + "loss": 0.5866, + "step": 820 + }, + { + "epoch": 1.91, + "learning_rate": 6.1267007002669345e-06, + "loss": 0.5471, + "step": 821 + }, + { + "epoch": 1.91, + "learning_rate": 6.103504955168382e-06, + "loss": 0.6304, + "step": 822 + }, + { + "epoch": 1.92, + "learning_rate": 6.080333901399252e-06, + "loss": 0.613, + "step": 823 + }, + { + "epoch": 1.92, + "learning_rate": 6.057187685789987e-06, + "loss": 0.5563, + "step": 824 + }, + { + "epoch": 1.92, + "learning_rate": 6.0340664550136494e-06, + "loss": 0.5999, + "step": 825 + }, + { + "epoch": 1.92, + "learning_rate": 6.010970355584968e-06, + "loss": 0.5908, + "step": 826 + }, + { + "epoch": 1.93, + "learning_rate": 5.987899533859422e-06, + "loss": 0.6025, + "step": 827 + }, + { + "epoch": 1.93, + "learning_rate": 5.96485413603231e-06, + "loss": 0.6176, + "step": 828 + }, + { + "epoch": 1.93, + "learning_rate": 5.941834308137828e-06, + "loss": 0.5807, + "step": 829 + }, + { + "epoch": 1.93, + "learning_rate": 5.918840196048132e-06, + "loss": 0.6489, + "step": 830 + }, + { + "epoch": 1.93, + "learning_rate": 5.895871945472434e-06, + "loss": 0.6051, + "step": 831 + }, + { + "epoch": 1.94, + "learning_rate": 5.872929701956054e-06, + "loss": 0.5922, + "step": 832 + }, + { + "epoch": 1.94, + "learning_rate": 5.85001361087952e-06, + "loss": 0.6391, + "step": 833 + }, + { + "epoch": 1.94, + "learning_rate": 5.827123817457631e-06, + "loss": 0.682, + "step": 834 + }, + { + "epoch": 1.94, + "learning_rate": 5.8042604667385475e-06, + "loss": 0.5695, + "step": 835 + }, + { + "epoch": 1.95, + "learning_rate": 5.781423703602863e-06, + "loss": 0.6103, + "step": 836 + }, + { + "epoch": 1.95, + "learning_rate": 5.75861367276269e-06, + "loss": 0.6449, + "step": 837 + }, + { + "epoch": 1.95, + "learning_rate": 5.735830518760757e-06, + "loss": 0.6074, + "step": 838 + }, + { + "epoch": 1.95, + "learning_rate": 5.713074385969457e-06, + "loss": 0.5809, + "step": 839 + }, + { + "epoch": 1.96, + "learning_rate": 5.690345418589978e-06, + "loss": 0.5481, + "step": 840 + }, + { + "epoch": 1.96, + "learning_rate": 5.667643760651349e-06, + "loss": 0.5846, + "step": 841 + }, + { + "epoch": 1.96, + "learning_rate": 5.644969556009547e-06, + "loss": 0.588, + "step": 842 + }, + { + "epoch": 1.96, + "learning_rate": 5.622322948346595e-06, + "loss": 0.5981, + "step": 843 + }, + { + "epoch": 1.97, + "learning_rate": 5.599704081169626e-06, + "loss": 0.556, + "step": 844 + }, + { + "epoch": 1.97, + "learning_rate": 5.5771130978099896e-06, + "loss": 0.5936, + "step": 845 + }, + { + "epoch": 1.97, + "learning_rate": 5.55455014142234e-06, + "loss": 0.6398, + "step": 846 + }, + { + "epoch": 1.97, + "learning_rate": 5.532015354983742e-06, + "loss": 0.6353, + "step": 847 + }, + { + "epoch": 1.97, + "learning_rate": 5.50950888129274e-06, + "loss": 0.6306, + "step": 848 + }, + { + "epoch": 1.98, + "learning_rate": 5.4870308629684675e-06, + "loss": 0.6219, + "step": 849 + }, + { + "epoch": 1.98, + "learning_rate": 5.464581442449741e-06, + "loss": 0.643, + "step": 850 + }, + { + "epoch": 1.98, + "learning_rate": 5.442160761994171e-06, + "loss": 0.5953, + "step": 851 + }, + { + "epoch": 1.98, + "learning_rate": 5.419768963677233e-06, + "loss": 0.6063, + "step": 852 + }, + { + "epoch": 1.99, + "learning_rate": 5.397406189391387e-06, + "loss": 0.5566, + "step": 853 + }, + { + "epoch": 1.99, + "learning_rate": 5.375072580845171e-06, + "loss": 0.5964, + "step": 854 + }, + { + "epoch": 1.99, + "learning_rate": 5.352768279562315e-06, + "loss": 0.5946, + "step": 855 + }, + { + "epoch": 1.99, + "learning_rate": 5.330493426880825e-06, + "loss": 0.5622, + "step": 856 + }, + { + "epoch": 2.0, + "learning_rate": 5.308248163952097e-06, + "loss": 0.6286, + "step": 857 + }, + { + "epoch": 2.0, + "learning_rate": 5.286032631740023e-06, + "loss": 0.58, + "step": 858 + }, + { + "epoch": 2.0, + "learning_rate": 5.263846971020108e-06, + "loss": 0.6134, + "step": 859 + }, + { + "epoch": 2.0, + "learning_rate": 5.241691322378554e-06, + "loss": 0.4445, + "step": 860 + }, + { + "epoch": 2.0, + "learning_rate": 5.219565826211382e-06, + "loss": 0.487, + "step": 861 + }, + { + "epoch": 2.01, + "learning_rate": 5.197470622723555e-06, + "loss": 0.4901, + "step": 862 + }, + { + "epoch": 2.01, + "learning_rate": 5.175405851928068e-06, + "loss": 0.4907, + "step": 863 + }, + { + "epoch": 2.01, + "learning_rate": 5.15337165364507e-06, + "loss": 0.5451, + "step": 864 + }, + { + "epoch": 2.01, + "learning_rate": 5.131368167500977e-06, + "loss": 0.5117, + "step": 865 + }, + { + "epoch": 2.02, + "learning_rate": 5.109395532927597e-06, + "loss": 0.5078, + "step": 866 + }, + { + "epoch": 2.02, + "learning_rate": 5.087453889161229e-06, + "loss": 0.5252, + "step": 867 + }, + { + "epoch": 2.02, + "learning_rate": 5.06554337524179e-06, + "loss": 0.4818, + "step": 868 + }, + { + "epoch": 2.02, + "learning_rate": 5.043664130011932e-06, + "loss": 0.534, + "step": 869 + }, + { + "epoch": 2.03, + "learning_rate": 5.021816292116175e-06, + "loss": 0.5066, + "step": 870 + }, + { + "epoch": 2.03, + "learning_rate": 5.000000000000003e-06, + "loss": 0.5677, + "step": 871 + }, + { + "epoch": 2.03, + "learning_rate": 4.978215391909006e-06, + "loss": 0.5421, + "step": 872 + }, + { + "epoch": 2.03, + "learning_rate": 4.956462605887994e-06, + "loss": 0.518, + "step": 873 + }, + { + "epoch": 2.03, + "learning_rate": 4.93474177978014e-06, + "loss": 0.5264, + "step": 874 + }, + { + "epoch": 2.04, + "learning_rate": 4.913053051226079e-06, + "loss": 0.5488, + "step": 875 + }, + { + "epoch": 2.04, + "learning_rate": 4.891396557663056e-06, + "loss": 0.5089, + "step": 876 + }, + { + "epoch": 2.04, + "learning_rate": 4.869772436324045e-06, + "loss": 0.5344, + "step": 877 + }, + { + "epoch": 2.04, + "learning_rate": 4.84818082423689e-06, + "loss": 0.4785, + "step": 878 + }, + { + "epoch": 2.05, + "learning_rate": 4.826621858223431e-06, + "loss": 0.5041, + "step": 879 + }, + { + "epoch": 2.05, + "learning_rate": 4.80509567489863e-06, + "loss": 0.5255, + "step": 880 + }, + { + "epoch": 2.05, + "learning_rate": 4.783602410669712e-06, + "loss": 0.555, + "step": 881 + }, + { + "epoch": 2.05, + "learning_rate": 4.762142201735299e-06, + "loss": 0.5502, + "step": 882 + }, + { + "epoch": 2.06, + "learning_rate": 4.740715184084559e-06, + "loss": 0.5164, + "step": 883 + }, + { + "epoch": 2.06, + "learning_rate": 4.7193214934963204e-06, + "loss": 0.5448, + "step": 884 + }, + { + "epoch": 2.06, + "learning_rate": 4.697961265538231e-06, + "loss": 0.5195, + "step": 885 + }, + { + "epoch": 2.06, + "learning_rate": 4.6766346355658856e-06, + "loss": 0.5352, + "step": 886 + }, + { + "epoch": 2.07, + "learning_rate": 4.655341738721989e-06, + "loss": 0.5274, + "step": 887 + }, + { + "epoch": 2.07, + "learning_rate": 4.6340827099354734e-06, + "loss": 0.5492, + "step": 888 + }, + { + "epoch": 2.07, + "learning_rate": 4.612857683920658e-06, + "loss": 0.5505, + "step": 889 + }, + { + "epoch": 2.07, + "learning_rate": 4.5916667951763924e-06, + "loss": 0.5151, + "step": 890 + }, + { + "epoch": 2.07, + "learning_rate": 4.570510177985213e-06, + "loss": 0.5665, + "step": 891 + }, + { + "epoch": 2.08, + "learning_rate": 4.549387966412478e-06, + "loss": 0.5246, + "step": 892 + }, + { + "epoch": 2.08, + "learning_rate": 4.528300294305519e-06, + "loss": 0.5372, + "step": 893 + }, + { + "epoch": 2.08, + "learning_rate": 4.5072472952928015e-06, + "loss": 0.5232, + "step": 894 + }, + { + "epoch": 2.08, + "learning_rate": 4.486229102783084e-06, + "loss": 0.4925, + "step": 895 + }, + { + "epoch": 2.09, + "learning_rate": 4.465245849964549e-06, + "loss": 0.5257, + "step": 896 + }, + { + "epoch": 2.09, + "learning_rate": 4.444297669803981e-06, + "loss": 0.4918, + "step": 897 + }, + { + "epoch": 2.09, + "learning_rate": 4.423384695045907e-06, + "loss": 0.5386, + "step": 898 + }, + { + "epoch": 2.09, + "learning_rate": 4.40250705821178e-06, + "loss": 0.5298, + "step": 899 + }, + { + "epoch": 2.1, + "learning_rate": 4.381664891599111e-06, + "loss": 0.6077, + "step": 900 + }, + { + "epoch": 2.1, + "learning_rate": 4.360858327280641e-06, + "loss": 0.56, + "step": 901 + }, + { + "epoch": 2.1, + "learning_rate": 4.340087497103519e-06, + "loss": 0.5327, + "step": 902 + }, + { + "epoch": 2.1, + "learning_rate": 4.319352532688444e-06, + "loss": 0.5317, + "step": 903 + }, + { + "epoch": 2.1, + "learning_rate": 4.298653565428841e-06, + "loss": 0.5274, + "step": 904 + }, + { + "epoch": 2.11, + "learning_rate": 4.277990726490029e-06, + "loss": 0.5385, + "step": 905 + }, + { + "epoch": 2.11, + "learning_rate": 4.257364146808394e-06, + "loss": 0.4947, + "step": 906 + }, + { + "epoch": 2.11, + "learning_rate": 4.236773957090549e-06, + "loss": 0.5215, + "step": 907 + }, + { + "epoch": 2.11, + "learning_rate": 4.2162202878125096e-06, + "loss": 0.5532, + "step": 908 + }, + { + "epoch": 2.12, + "learning_rate": 4.1957032692188685e-06, + "loss": 0.5275, + "step": 909 + }, + { + "epoch": 2.12, + "learning_rate": 4.17522303132198e-06, + "loss": 0.5356, + "step": 910 + }, + { + "epoch": 2.12, + "learning_rate": 4.154779703901114e-06, + "loss": 0.5623, + "step": 911 + }, + { + "epoch": 2.12, + "learning_rate": 4.134373416501652e-06, + "loss": 0.5231, + "step": 912 + }, + { + "epoch": 2.13, + "learning_rate": 4.1140042984342535e-06, + "loss": 0.5465, + "step": 913 + }, + { + "epoch": 2.13, + "learning_rate": 4.093672478774057e-06, + "loss": 0.5816, + "step": 914 + }, + { + "epoch": 2.13, + "learning_rate": 4.073378086359834e-06, + "loss": 0.5451, + "step": 915 + }, + { + "epoch": 2.13, + "learning_rate": 4.053121249793196e-06, + "loss": 0.5197, + "step": 916 + }, + { + "epoch": 2.14, + "learning_rate": 4.03290209743776e-06, + "loss": 0.5299, + "step": 917 + }, + { + "epoch": 2.14, + "learning_rate": 4.0127207574183576e-06, + "loss": 0.5236, + "step": 918 + }, + { + "epoch": 2.14, + "learning_rate": 3.99257735762021e-06, + "loss": 0.5299, + "step": 919 + }, + { + "epoch": 2.14, + "learning_rate": 3.97247202568811e-06, + "loss": 0.5324, + "step": 920 + }, + { + "epoch": 2.14, + "learning_rate": 3.952404889025626e-06, + "loss": 0.5556, + "step": 921 + }, + { + "epoch": 2.15, + "learning_rate": 3.932376074794288e-06, + "loss": 0.5376, + "step": 922 + }, + { + "epoch": 2.15, + "learning_rate": 3.912385709912794e-06, + "loss": 0.5153, + "step": 923 + }, + { + "epoch": 2.15, + "learning_rate": 3.892433921056184e-06, + "loss": 0.5493, + "step": 924 + }, + { + "epoch": 2.15, + "learning_rate": 3.8725208346550535e-06, + "loss": 0.5224, + "step": 925 + }, + { + "epoch": 2.16, + "learning_rate": 3.852646576894749e-06, + "loss": 0.5098, + "step": 926 + }, + { + "epoch": 2.16, + "learning_rate": 3.832811273714569e-06, + "loss": 0.5721, + "step": 927 + }, + { + "epoch": 2.16, + "learning_rate": 3.813015050806964e-06, + "loss": 0.5172, + "step": 928 + }, + { + "epoch": 2.16, + "learning_rate": 3.7932580336167356e-06, + "loss": 0.543, + "step": 929 + }, + { + "epoch": 2.17, + "learning_rate": 3.7735403473402475e-06, + "loss": 0.5789, + "step": 930 + }, + { + "epoch": 2.17, + "learning_rate": 3.75386211692464e-06, + "loss": 0.4872, + "step": 931 + }, + { + "epoch": 2.17, + "learning_rate": 3.7342234670670196e-06, + "loss": 0.5147, + "step": 932 + }, + { + "epoch": 2.17, + "learning_rate": 3.714624522213681e-06, + "loss": 0.5391, + "step": 933 + }, + { + "epoch": 2.17, + "learning_rate": 3.695065406559315e-06, + "loss": 0.5496, + "step": 934 + }, + { + "epoch": 2.18, + "learning_rate": 3.6755462440462288e-06, + "loss": 0.5518, + "step": 935 + }, + { + "epoch": 2.18, + "learning_rate": 3.6560671583635467e-06, + "loss": 0.483, + "step": 936 + }, + { + "epoch": 2.18, + "learning_rate": 3.636628272946434e-06, + "loss": 0.5466, + "step": 937 + }, + { + "epoch": 2.18, + "learning_rate": 3.6172297109753253e-06, + "loss": 0.5291, + "step": 938 + }, + { + "epoch": 2.19, + "learning_rate": 3.5978715953751207e-06, + "loss": 0.5239, + "step": 939 + }, + { + "epoch": 2.19, + "learning_rate": 3.5785540488144265e-06, + "loss": 0.5207, + "step": 940 + }, + { + "epoch": 2.19, + "learning_rate": 3.5592771937047633e-06, + "loss": 0.5671, + "step": 941 + }, + { + "epoch": 2.19, + "learning_rate": 3.5400411521998123e-06, + "loss": 0.5146, + "step": 942 + }, + { + "epoch": 2.2, + "learning_rate": 3.5208460461946136e-06, + "loss": 0.5273, + "step": 943 + }, + { + "epoch": 2.2, + "learning_rate": 3.501691997324813e-06, + "loss": 0.5048, + "step": 944 + }, + { + "epoch": 2.2, + "learning_rate": 3.4825791269658782e-06, + "loss": 0.509, + "step": 945 + }, + { + "epoch": 2.2, + "learning_rate": 3.4635075562323516e-06, + "loss": 0.5316, + "step": 946 + }, + { + "epoch": 2.2, + "learning_rate": 3.4444774059770537e-06, + "loss": 0.4805, + "step": 947 + }, + { + "epoch": 2.21, + "learning_rate": 3.4254887967903373e-06, + "loss": 0.5112, + "step": 948 + }, + { + "epoch": 2.21, + "learning_rate": 3.4065418489993118e-06, + "loss": 0.5422, + "step": 949 + }, + { + "epoch": 2.21, + "learning_rate": 3.3876366826670993e-06, + "loss": 0.5588, + "step": 950 + }, + { + "epoch": 2.21, + "learning_rate": 3.3687734175920505e-06, + "loss": 0.5253, + "step": 951 + }, + { + "epoch": 2.22, + "learning_rate": 3.3499521733069962e-06, + "loss": 0.5337, + "step": 952 + }, + { + "epoch": 2.22, + "learning_rate": 3.3311730690784916e-06, + "loss": 0.5209, + "step": 953 + }, + { + "epoch": 2.22, + "learning_rate": 3.3124362239060627e-06, + "loss": 0.5151, + "step": 954 + }, + { + "epoch": 2.22, + "learning_rate": 3.2937417565214426e-06, + "loss": 0.5119, + "step": 955 + }, + { + "epoch": 2.23, + "learning_rate": 3.2750897853878215e-06, + "loss": 0.574, + "step": 956 + }, + { + "epoch": 2.23, + "learning_rate": 3.2564804286991137e-06, + "loss": 0.5086, + "step": 957 + }, + { + "epoch": 2.23, + "learning_rate": 3.2379138043791748e-06, + "loss": 0.5353, + "step": 958 + }, + { + "epoch": 2.23, + "learning_rate": 3.2193900300810908e-06, + "loss": 0.467, + "step": 959 + }, + { + "epoch": 2.24, + "learning_rate": 3.2009092231864047e-06, + "loss": 0.5257, + "step": 960 + }, + { + "epoch": 2.24, + "learning_rate": 3.1824715008043874e-06, + "loss": 0.5688, + "step": 961 + }, + { + "epoch": 2.24, + "learning_rate": 3.1640769797712865e-06, + "loss": 0.5211, + "step": 962 + }, + { + "epoch": 2.24, + "learning_rate": 3.145725776649602e-06, + "loss": 0.5151, + "step": 963 + }, + { + "epoch": 2.24, + "learning_rate": 3.1274180077273287e-06, + "loss": 0.4875, + "step": 964 + }, + { + "epoch": 2.25, + "learning_rate": 3.1091537890172263e-06, + "loss": 0.5437, + "step": 965 + }, + { + "epoch": 2.25, + "learning_rate": 3.0909332362560875e-06, + "loss": 0.4882, + "step": 966 + }, + { + "epoch": 2.25, + "learning_rate": 3.0727564649040066e-06, + "loss": 0.5668, + "step": 967 + }, + { + "epoch": 2.25, + "learning_rate": 3.0546235901436383e-06, + "loss": 0.4976, + "step": 968 + }, + { + "epoch": 2.26, + "learning_rate": 3.036534726879473e-06, + "loss": 0.4815, + "step": 969 + }, + { + "epoch": 2.26, + "learning_rate": 3.01848998973711e-06, + "loss": 0.5437, + "step": 970 + }, + { + "epoch": 2.26, + "learning_rate": 3.000489493062535e-06, + "loss": 0.5355, + "step": 971 + }, + { + "epoch": 2.26, + "learning_rate": 2.982533350921383e-06, + "loss": 0.5673, + "step": 972 + }, + { + "epoch": 2.27, + "learning_rate": 2.964621677098225e-06, + "loss": 0.4698, + "step": 973 + }, + { + "epoch": 2.27, + "learning_rate": 2.9467545850958445e-06, + "loss": 0.5215, + "step": 974 + }, + { + "epoch": 2.27, + "learning_rate": 2.9289321881345257e-06, + "loss": 0.5175, + "step": 975 + }, + { + "epoch": 2.27, + "learning_rate": 2.9111545991513202e-06, + "loss": 0.5298, + "step": 976 + }, + { + "epoch": 2.27, + "learning_rate": 2.8934219307993393e-06, + "loss": 0.5101, + "step": 977 + }, + { + "epoch": 2.28, + "learning_rate": 2.8757342954470537e-06, + "loss": 0.5413, + "step": 978 + }, + { + "epoch": 2.28, + "learning_rate": 2.8580918051775542e-06, + "loss": 0.5443, + "step": 979 + }, + { + "epoch": 2.28, + "learning_rate": 2.840494571787864e-06, + "loss": 0.5075, + "step": 980 + }, + { + "epoch": 2.28, + "learning_rate": 2.8229427067882165e-06, + "loss": 0.5034, + "step": 981 + }, + { + "epoch": 2.29, + "learning_rate": 2.8054363214013647e-06, + "loss": 0.5186, + "step": 982 + }, + { + "epoch": 2.29, + "learning_rate": 2.7879755265618558e-06, + "loss": 0.5471, + "step": 983 + }, + { + "epoch": 2.29, + "learning_rate": 2.7705604329153434e-06, + "loss": 0.4909, + "step": 984 + }, + { + "epoch": 2.29, + "learning_rate": 2.7531911508178764e-06, + "loss": 0.5202, + "step": 985 + }, + { + "epoch": 2.3, + "learning_rate": 2.7358677903352173e-06, + "loss": 0.5045, + "step": 986 + }, + { + "epoch": 2.3, + "learning_rate": 2.7185904612421177e-06, + "loss": 0.568, + "step": 987 + }, + { + "epoch": 2.3, + "learning_rate": 2.7013592730216464e-06, + "loss": 0.5011, + "step": 988 + }, + { + "epoch": 2.3, + "learning_rate": 2.6841743348644788e-06, + "loss": 0.5333, + "step": 989 + }, + { + "epoch": 2.31, + "learning_rate": 2.6670357556682245e-06, + "loss": 0.5383, + "step": 990 + }, + { + "epoch": 2.31, + "learning_rate": 2.6499436440367165e-06, + "loss": 0.5226, + "step": 991 + }, + { + "epoch": 2.31, + "learning_rate": 2.6328981082793313e-06, + "loss": 0.5272, + "step": 992 + }, + { + "epoch": 2.31, + "learning_rate": 2.615899256410306e-06, + "loss": 0.4873, + "step": 993 + }, + { + "epoch": 2.31, + "learning_rate": 2.598947196148053e-06, + "loss": 0.5314, + "step": 994 + }, + { + "epoch": 2.32, + "learning_rate": 2.5820420349144693e-06, + "loss": 0.5098, + "step": 995 + }, + { + "epoch": 2.32, + "learning_rate": 2.565183879834272e-06, + "loss": 0.524, + "step": 996 + }, + { + "epoch": 2.32, + "learning_rate": 2.548372837734299e-06, + "loss": 0.5327, + "step": 997 + }, + { + "epoch": 2.32, + "learning_rate": 2.531609015142844e-06, + "loss": 0.56, + "step": 998 + }, + { + "epoch": 2.33, + "learning_rate": 2.514892518288988e-06, + "loss": 0.5382, + "step": 999 + }, + { + "epoch": 2.33, + "learning_rate": 2.498223453101911e-06, + "loss": 0.5109, + "step": 1000 + }, + { + "epoch": 2.33, + "learning_rate": 2.4816019252102274e-06, + "loss": 0.4958, + "step": 1001 + }, + { + "epoch": 2.33, + "learning_rate": 2.465028039941316e-06, + "loss": 0.5627, + "step": 1002 + }, + { + "epoch": 2.34, + "learning_rate": 2.4485019023206637e-06, + "loss": 0.5343, + "step": 1003 + }, + { + "epoch": 2.34, + "learning_rate": 2.4320236170711785e-06, + "loss": 0.5031, + "step": 1004 + }, + { + "epoch": 2.34, + "learning_rate": 2.415593288612541e-06, + "loss": 0.5579, + "step": 1005 + }, + { + "epoch": 2.34, + "learning_rate": 2.3992110210605378e-06, + "loss": 0.5601, + "step": 1006 + }, + { + "epoch": 2.34, + "learning_rate": 2.382876918226409e-06, + "loss": 0.5039, + "step": 1007 + }, + { + "epoch": 2.35, + "learning_rate": 2.366591083616178e-06, + "loss": 0.5444, + "step": 1008 + }, + { + "epoch": 2.35, + "learning_rate": 2.3503536204300017e-06, + "loss": 0.5011, + "step": 1009 + }, + { + "epoch": 2.35, + "learning_rate": 2.334164631561516e-06, + "loss": 0.5428, + "step": 1010 + }, + { + "epoch": 2.35, + "learning_rate": 2.318024219597196e-06, + "loss": 0.53, + "step": 1011 + }, + { + "epoch": 2.36, + "learning_rate": 2.3019324868156777e-06, + "loss": 0.5698, + "step": 1012 + }, + { + "epoch": 2.36, + "learning_rate": 2.285889535187139e-06, + "loss": 0.5188, + "step": 1013 + }, + { + "epoch": 2.36, + "learning_rate": 2.26989546637263e-06, + "loss": 0.5344, + "step": 1014 + }, + { + "epoch": 2.36, + "learning_rate": 2.2539503817234553e-06, + "loss": 0.5446, + "step": 1015 + }, + { + "epoch": 2.37, + "learning_rate": 2.2380543822805023e-06, + "loss": 0.5432, + "step": 1016 + }, + { + "epoch": 2.37, + "learning_rate": 2.222207568773619e-06, + "loss": 0.5523, + "step": 1017 + }, + { + "epoch": 2.37, + "learning_rate": 2.2064100416209777e-06, + "loss": 0.546, + "step": 1018 + }, + { + "epoch": 2.37, + "learning_rate": 2.190661900928426e-06, + "loss": 0.5414, + "step": 1019 + }, + { + "epoch": 2.37, + "learning_rate": 2.1749632464888594e-06, + "loss": 0.5612, + "step": 1020 + }, + { + "epoch": 2.38, + "learning_rate": 2.1593141777815906e-06, + "loss": 0.5683, + "step": 1021 + }, + { + "epoch": 2.38, + "learning_rate": 2.1437147939717197e-06, + "loss": 0.5879, + "step": 1022 + }, + { + "epoch": 2.38, + "learning_rate": 2.1281651939094996e-06, + "loss": 0.5669, + "step": 1023 + }, + { + "epoch": 2.38, + "learning_rate": 2.112665476129714e-06, + "loss": 0.495, + "step": 1024 + }, + { + "epoch": 2.39, + "learning_rate": 2.0972157388510484e-06, + "loss": 0.5303, + "step": 1025 + }, + { + "epoch": 2.39, + "learning_rate": 2.0818160799754826e-06, + "loss": 0.4482, + "step": 1026 + }, + { + "epoch": 2.39, + "learning_rate": 2.0664665970876496e-06, + "loss": 0.571, + "step": 1027 + }, + { + "epoch": 2.39, + "learning_rate": 2.0511673874542302e-06, + "loss": 0.5204, + "step": 1028 + }, + { + "epoch": 2.4, + "learning_rate": 2.03591854802333e-06, + "loss": 0.5217, + "step": 1029 + }, + { + "epoch": 2.4, + "learning_rate": 2.020720175423876e-06, + "loss": 0.5163, + "step": 1030 + }, + { + "epoch": 2.4, + "learning_rate": 2.0055723659649907e-06, + "loss": 0.4873, + "step": 1031 + }, + { + "epoch": 2.4, + "learning_rate": 1.990475215635388e-06, + "loss": 0.494, + "step": 1032 + }, + { + "epoch": 2.41, + "learning_rate": 1.975428820102766e-06, + "loss": 0.5291, + "step": 1033 + }, + { + "epoch": 2.41, + "learning_rate": 1.9604332747131993e-06, + "loss": 0.5433, + "step": 1034 + }, + { + "epoch": 2.41, + "learning_rate": 1.94548867449054e-06, + "loss": 0.5057, + "step": 1035 + }, + { + "epoch": 2.41, + "learning_rate": 1.9305951141358027e-06, + "loss": 0.5485, + "step": 1036 + }, + { + "epoch": 2.41, + "learning_rate": 1.9157526880265763e-06, + "loss": 0.5347, + "step": 1037 + }, + { + "epoch": 2.42, + "learning_rate": 1.9009614902164175e-06, + "loss": 0.4946, + "step": 1038 + }, + { + "epoch": 2.42, + "learning_rate": 1.8862216144342692e-06, + "loss": 0.5363, + "step": 1039 + }, + { + "epoch": 2.42, + "learning_rate": 1.8715331540838488e-06, + "loss": 0.5287, + "step": 1040 + }, + { + "epoch": 2.42, + "learning_rate": 1.8568962022430637e-06, + "loss": 0.4871, + "step": 1041 + }, + { + "epoch": 2.43, + "learning_rate": 1.8423108516634214e-06, + "loss": 0.5014, + "step": 1042 + }, + { + "epoch": 2.43, + "learning_rate": 1.8277771947694523e-06, + "loss": 0.5344, + "step": 1043 + }, + { + "epoch": 2.43, + "learning_rate": 1.813295323658103e-06, + "loss": 0.5432, + "step": 1044 + }, + { + "epoch": 2.43, + "learning_rate": 1.7988653300981663e-06, + "loss": 0.5338, + "step": 1045 + }, + { + "epoch": 2.44, + "learning_rate": 1.7844873055296963e-06, + "loss": 0.5297, + "step": 1046 + }, + { + "epoch": 2.44, + "learning_rate": 1.7701613410634367e-06, + "loss": 0.5296, + "step": 1047 + }, + { + "epoch": 2.44, + "learning_rate": 1.7558875274802278e-06, + "loss": 0.5851, + "step": 1048 + }, + { + "epoch": 2.44, + "learning_rate": 1.7416659552304449e-06, + "loss": 0.5531, + "step": 1049 + }, + { + "epoch": 2.44, + "learning_rate": 1.7274967144334155e-06, + "loss": 0.5526, + "step": 1050 + }, + { + "epoch": 2.45, + "learning_rate": 1.7133798948768598e-06, + "loss": 0.534, + "step": 1051 + }, + { + "epoch": 2.45, + "learning_rate": 1.6993155860163102e-06, + "loss": 0.511, + "step": 1052 + }, + { + "epoch": 2.45, + "learning_rate": 1.6853038769745466e-06, + "loss": 0.5456, + "step": 1053 + }, + { + "epoch": 2.45, + "learning_rate": 1.6713448565410428e-06, + "loss": 0.5174, + "step": 1054 + }, + { + "epoch": 2.46, + "learning_rate": 1.6574386131713872e-06, + "loss": 0.5368, + "step": 1055 + }, + { + "epoch": 2.46, + "learning_rate": 1.643585234986733e-06, + "loss": 0.524, + "step": 1056 + }, + { + "epoch": 2.46, + "learning_rate": 1.6297848097732338e-06, + "loss": 0.4975, + "step": 1057 + }, + { + "epoch": 2.46, + "learning_rate": 1.616037424981498e-06, + "loss": 0.5085, + "step": 1058 + }, + { + "epoch": 2.47, + "learning_rate": 1.6023431677260215e-06, + "loss": 0.5203, + "step": 1059 + }, + { + "epoch": 2.47, + "learning_rate": 1.5887021247846424e-06, + "loss": 0.4904, + "step": 1060 + }, + { + "epoch": 2.47, + "learning_rate": 1.5751143825979875e-06, + "loss": 0.5573, + "step": 1061 + }, + { + "epoch": 2.47, + "learning_rate": 1.5615800272689352e-06, + "loss": 0.5114, + "step": 1062 + }, + { + "epoch": 2.47, + "learning_rate": 1.5480991445620541e-06, + "loss": 0.589, + "step": 1063 + }, + { + "epoch": 2.48, + "learning_rate": 1.5346718199030687e-06, + "loss": 0.5433, + "step": 1064 + }, + { + "epoch": 2.48, + "learning_rate": 1.5212981383783154e-06, + "loss": 0.5849, + "step": 1065 + }, + { + "epoch": 2.48, + "learning_rate": 1.5079781847342122e-06, + "loss": 0.5115, + "step": 1066 + }, + { + "epoch": 2.48, + "learning_rate": 1.4947120433767048e-06, + "loss": 0.5738, + "step": 1067 + }, + { + "epoch": 2.49, + "learning_rate": 1.4814997983707457e-06, + "loss": 0.533, + "step": 1068 + }, + { + "epoch": 2.49, + "learning_rate": 1.4683415334397532e-06, + "loss": 0.5087, + "step": 1069 + }, + { + "epoch": 2.49, + "learning_rate": 1.4552373319650914e-06, + "loss": 0.5113, + "step": 1070 + }, + { + "epoch": 2.49, + "learning_rate": 1.4421872769855262e-06, + "loss": 0.5177, + "step": 1071 + }, + { + "epoch": 2.5, + "learning_rate": 1.4291914511967141e-06, + "loss": 0.5573, + "step": 1072 + }, + { + "epoch": 2.5, + "learning_rate": 1.4162499369506655e-06, + "loss": 0.5431, + "step": 1073 + }, + { + "epoch": 2.5, + "learning_rate": 1.403362816255236e-06, + "loss": 0.5109, + "step": 1074 + }, + { + "epoch": 2.5, + "learning_rate": 1.3905301707735986e-06, + "loss": 0.5452, + "step": 1075 + }, + { + "epoch": 2.51, + "learning_rate": 1.3777520818237244e-06, + "loss": 0.5398, + "step": 1076 + }, + { + "epoch": 2.51, + "learning_rate": 1.3650286303778715e-06, + "loss": 0.5277, + "step": 1077 + }, + { + "epoch": 2.51, + "learning_rate": 1.3523598970620687e-06, + "loss": 0.5233, + "step": 1078 + }, + { + "epoch": 2.51, + "learning_rate": 1.339745962155613e-06, + "loss": 0.527, + "step": 1079 + }, + { + "epoch": 2.51, + "learning_rate": 1.3271869055905495e-06, + "loss": 0.5268, + "step": 1080 + }, + { + "epoch": 2.52, + "learning_rate": 1.3146828069511708e-06, + "loss": 0.5579, + "step": 1081 + }, + { + "epoch": 2.52, + "learning_rate": 1.302233745473509e-06, + "loss": 0.4865, + "step": 1082 + }, + { + "epoch": 2.52, + "learning_rate": 1.2898398000448441e-06, + "loss": 0.5064, + "step": 1083 + }, + { + "epoch": 2.52, + "learning_rate": 1.2775010492031915e-06, + "loss": 0.5106, + "step": 1084 + }, + { + "epoch": 2.53, + "learning_rate": 1.2652175711368075e-06, + "loss": 0.5242, + "step": 1085 + }, + { + "epoch": 2.53, + "learning_rate": 1.2529894436836965e-06, + "loss": 0.5229, + "step": 1086 + }, + { + "epoch": 2.53, + "learning_rate": 1.2408167443311215e-06, + "loss": 0.4811, + "step": 1087 + }, + { + "epoch": 2.53, + "learning_rate": 1.2286995502151045e-06, + "loss": 0.5107, + "step": 1088 + }, + { + "epoch": 2.54, + "learning_rate": 1.2166379381199423e-06, + "loss": 0.5165, + "step": 1089 + }, + { + "epoch": 2.54, + "learning_rate": 1.2046319844777144e-06, + "loss": 0.5222, + "step": 1090 + }, + { + "epoch": 2.54, + "learning_rate": 1.1926817653678159e-06, + "loss": 0.5134, + "step": 1091 + }, + { + "epoch": 2.54, + "learning_rate": 1.1807873565164507e-06, + "loss": 0.5449, + "step": 1092 + }, + { + "epoch": 2.54, + "learning_rate": 1.1689488332961684e-06, + "loss": 0.5073, + "step": 1093 + }, + { + "epoch": 2.55, + "learning_rate": 1.157166270725385e-06, + "loss": 0.5012, + "step": 1094 + }, + { + "epoch": 2.55, + "learning_rate": 1.1454397434679022e-06, + "loss": 0.5389, + "step": 1095 + }, + { + "epoch": 2.55, + "learning_rate": 1.1337693258324344e-06, + "loss": 0.4932, + "step": 1096 + }, + { + "epoch": 2.55, + "learning_rate": 1.1221550917721434e-06, + "loss": 0.5297, + "step": 1097 + }, + { + "epoch": 2.56, + "learning_rate": 1.11059711488417e-06, + "loss": 0.528, + "step": 1098 + }, + { + "epoch": 2.56, + "learning_rate": 1.099095468409156e-06, + "loss": 0.5401, + "step": 1099 + }, + { + "epoch": 2.56, + "learning_rate": 1.0876502252307942e-06, + "loss": 0.5006, + "step": 1100 + }, + { + "epoch": 2.56, + "learning_rate": 1.0762614578753571e-06, + "loss": 0.5715, + "step": 1101 + }, + { + "epoch": 2.57, + "learning_rate": 1.0649292385112474e-06, + "loss": 0.5373, + "step": 1102 + }, + { + "epoch": 2.57, + "learning_rate": 1.0536536389485275e-06, + "loss": 0.5585, + "step": 1103 + }, + { + "epoch": 2.57, + "learning_rate": 1.042434730638473e-06, + "loss": 0.5343, + "step": 1104 + }, + { + "epoch": 2.57, + "learning_rate": 1.0312725846731174e-06, + "loss": 0.4908, + "step": 1105 + }, + { + "epoch": 2.58, + "learning_rate": 1.0201672717848065e-06, + "loss": 0.5571, + "step": 1106 + }, + { + "epoch": 2.58, + "learning_rate": 1.0091188623457415e-06, + "loss": 0.5796, + "step": 1107 + }, + { + "epoch": 2.58, + "learning_rate": 9.981274263675388e-07, + "loss": 0.4938, + "step": 1108 + }, + { + "epoch": 2.58, + "learning_rate": 9.87193033500784e-07, + "loss": 0.5294, + "step": 1109 + }, + { + "epoch": 2.58, + "learning_rate": 9.763157530345957e-07, + "loss": 0.4903, + "step": 1110 + }, + { + "epoch": 2.59, + "learning_rate": 9.65495653896179e-07, + "loss": 0.5719, + "step": 1111 + }, + { + "epoch": 2.59, + "learning_rate": 9.547328046503889e-07, + "loss": 0.5182, + "step": 1112 + }, + { + "epoch": 2.59, + "learning_rate": 9.440272734993072e-07, + "loss": 0.4994, + "step": 1113 + }, + { + "epoch": 2.59, + "learning_rate": 9.333791282817939e-07, + "loss": 0.5292, + "step": 1114 + }, + { + "epoch": 2.6, + "learning_rate": 9.227884364730743e-07, + "loss": 0.5275, + "step": 1115 + }, + { + "epoch": 2.6, + "learning_rate": 9.122552651842931e-07, + "loss": 0.5171, + "step": 1116 + }, + { + "epoch": 2.6, + "learning_rate": 9.017796811621049e-07, + "loss": 0.5007, + "step": 1117 + }, + { + "epoch": 2.6, + "learning_rate": 8.91361750788241e-07, + "loss": 0.4969, + "step": 1118 + }, + { + "epoch": 2.61, + "learning_rate": 8.810015400790994e-07, + "loss": 0.5202, + "step": 1119 + }, + { + "epoch": 2.61, + "learning_rate": 8.706991146853128e-07, + "loss": 0.5295, + "step": 1120 + }, + { + "epoch": 2.61, + "learning_rate": 8.604545398913422e-07, + "loss": 0.5608, + "step": 1121 + }, + { + "epoch": 2.61, + "learning_rate": 8.502678806150588e-07, + "loss": 0.5585, + "step": 1122 + }, + { + "epoch": 2.61, + "learning_rate": 8.401392014073406e-07, + "loss": 0.5148, + "step": 1123 + }, + { + "epoch": 2.62, + "learning_rate": 8.300685664516516e-07, + "loss": 0.5317, + "step": 1124 + }, + { + "epoch": 2.62, + "learning_rate": 8.200560395636414e-07, + "loss": 0.5315, + "step": 1125 + }, + { + "epoch": 2.62, + "learning_rate": 8.101016841907394e-07, + "loss": 0.5128, + "step": 1126 + }, + { + "epoch": 2.62, + "learning_rate": 8.002055634117578e-07, + "loss": 0.5457, + "step": 1127 + }, + { + "epoch": 2.63, + "learning_rate": 7.903677399364839e-07, + "loss": 0.5104, + "step": 1128 + }, + { + "epoch": 2.63, + "learning_rate": 7.805882761052852e-07, + "loss": 0.5365, + "step": 1129 + }, + { + "epoch": 2.63, + "learning_rate": 7.70867233888718e-07, + "loss": 0.5182, + "step": 1130 + }, + { + "epoch": 2.63, + "learning_rate": 7.612046748871327e-07, + "loss": 0.5384, + "step": 1131 + }, + { + "epoch": 2.64, + "learning_rate": 7.516006603302816e-07, + "loss": 0.5168, + "step": 1132 + }, + { + "epoch": 2.64, + "learning_rate": 7.420552510769308e-07, + "loss": 0.5276, + "step": 1133 + }, + { + "epoch": 2.64, + "learning_rate": 7.325685076144795e-07, + "loss": 0.5046, + "step": 1134 + }, + { + "epoch": 2.64, + "learning_rate": 7.231404900585714e-07, + "loss": 0.5232, + "step": 1135 + }, + { + "epoch": 2.64, + "learning_rate": 7.137712581527157e-07, + "loss": 0.5289, + "step": 1136 + }, + { + "epoch": 2.65, + "learning_rate": 7.044608712679058e-07, + "loss": 0.4747, + "step": 1137 + }, + { + "epoch": 2.65, + "learning_rate": 6.952093884022515e-07, + "loss": 0.4885, + "step": 1138 + }, + { + "epoch": 2.65, + "learning_rate": 6.860168681805946e-07, + "loss": 0.4941, + "step": 1139 + }, + { + "epoch": 2.65, + "learning_rate": 6.768833688541443e-07, + "loss": 0.5454, + "step": 1140 + }, + { + "epoch": 2.66, + "learning_rate": 6.678089483001016e-07, + "loss": 0.5212, + "step": 1141 + }, + { + "epoch": 2.66, + "learning_rate": 6.587936640213055e-07, + "loss": 0.5718, + "step": 1142 + }, + { + "epoch": 2.66, + "learning_rate": 6.498375731458529e-07, + "loss": 0.5347, + "step": 1143 + }, + { + "epoch": 2.66, + "learning_rate": 6.409407324267448e-07, + "loss": 0.5294, + "step": 1144 + }, + { + "epoch": 2.67, + "learning_rate": 6.321031982415237e-07, + "loss": 0.496, + "step": 1145 + }, + { + "epoch": 2.67, + "learning_rate": 6.233250265919266e-07, + "loss": 0.4798, + "step": 1146 + }, + { + "epoch": 2.67, + "learning_rate": 6.146062731035129e-07, + "loss": 0.5078, + "step": 1147 + }, + { + "epoch": 2.67, + "learning_rate": 6.059469930253226e-07, + "loss": 0.4922, + "step": 1148 + }, + { + "epoch": 2.68, + "learning_rate": 5.973472412295256e-07, + "loss": 0.4842, + "step": 1149 + }, + { + "epoch": 2.68, + "learning_rate": 5.88807072211074e-07, + "loss": 0.5363, + "step": 1150 + }, + { + "epoch": 2.68, + "learning_rate": 5.803265400873514e-07, + "loss": 0.5368, + "step": 1151 + }, + { + "epoch": 2.68, + "learning_rate": 5.719056985978388e-07, + "loss": 0.5265, + "step": 1152 + }, + { + "epoch": 2.68, + "learning_rate": 5.63544601103767e-07, + "loss": 0.5912, + "step": 1153 + }, + { + "epoch": 2.69, + "learning_rate": 5.552433005877778e-07, + "loss": 0.5244, + "step": 1154 + }, + { + "epoch": 2.69, + "learning_rate": 5.470018496535967e-07, + "loss": 0.5146, + "step": 1155 + }, + { + "epoch": 2.69, + "learning_rate": 5.38820300525692e-07, + "loss": 0.4954, + "step": 1156 + }, + { + "epoch": 2.69, + "learning_rate": 5.306987050489442e-07, + "loss": 0.5772, + "step": 1157 + }, + { + "epoch": 2.7, + "learning_rate": 5.22637114688318e-07, + "loss": 0.5465, + "step": 1158 + }, + { + "epoch": 2.7, + "learning_rate": 5.146355805285452e-07, + "loss": 0.5659, + "step": 1159 + }, + { + "epoch": 2.7, + "learning_rate": 5.066941532737834e-07, + "loss": 0.5397, + "step": 1160 + }, + { + "epoch": 2.7, + "learning_rate": 4.988128832473105e-07, + "loss": 0.5096, + "step": 1161 + }, + { + "epoch": 2.71, + "learning_rate": 4.909918203911968e-07, + "loss": 0.4733, + "step": 1162 + }, + { + "epoch": 2.71, + "learning_rate": 4.832310142659946e-07, + "loss": 0.5798, + "step": 1163 + }, + { + "epoch": 2.71, + "learning_rate": 4.755305140504185e-07, + "loss": 0.4979, + "step": 1164 + }, + { + "epoch": 2.71, + "learning_rate": 4.678903685410374e-07, + "loss": 0.5101, + "step": 1165 + }, + { + "epoch": 2.71, + "learning_rate": 4.6031062615196186e-07, + "loss": 0.5389, + "step": 1166 + }, + { + "epoch": 2.72, + "learning_rate": 4.5279133491454406e-07, + "loss": 0.5185, + "step": 1167 + }, + { + "epoch": 2.72, + "learning_rate": 4.4533254247706604e-07, + "loss": 0.5902, + "step": 1168 + }, + { + "epoch": 2.72, + "learning_rate": 4.3793429610444083e-07, + "loss": 0.5341, + "step": 1169 + }, + { + "epoch": 2.72, + "learning_rate": 4.305966426779118e-07, + "loss": 0.5198, + "step": 1170 + }, + { + "epoch": 2.73, + "learning_rate": 4.233196286947605e-07, + "loss": 0.4886, + "step": 1171 + }, + { + "epoch": 2.73, + "learning_rate": 4.161033002680059e-07, + "loss": 0.5199, + "step": 1172 + }, + { + "epoch": 2.73, + "learning_rate": 4.089477031261113e-07, + "loss": 0.5458, + "step": 1173 + }, + { + "epoch": 2.73, + "learning_rate": 4.018528826127044e-07, + "loss": 0.5011, + "step": 1174 + }, + { + "epoch": 2.74, + "learning_rate": 3.9481888368627764e-07, + "loss": 0.5216, + "step": 1175 + }, + { + "epoch": 2.74, + "learning_rate": 3.878457509199107e-07, + "loss": 0.4985, + "step": 1176 + }, + { + "epoch": 2.74, + "learning_rate": 3.809335285009863e-07, + "loss": 0.4659, + "step": 1177 + }, + { + "epoch": 2.74, + "learning_rate": 3.740822602309124e-07, + "loss": 0.4945, + "step": 1178 + }, + { + "epoch": 2.75, + "learning_rate": 3.6729198952483725e-07, + "loss": 0.516, + "step": 1179 + }, + { + "epoch": 2.75, + "learning_rate": 3.6056275941138474e-07, + "loss": 0.5352, + "step": 1180 + }, + { + "epoch": 2.75, + "learning_rate": 3.538946125323717e-07, + "loss": 0.5155, + "step": 1181 + }, + { + "epoch": 2.75, + "learning_rate": 3.4728759114254774e-07, + "loss": 0.4905, + "step": 1182 + }, + { + "epoch": 2.75, + "learning_rate": 3.4074173710931804e-07, + "loss": 0.5385, + "step": 1183 + }, + { + "epoch": 2.76, + "learning_rate": 3.3425709191248325e-07, + "loss": 0.5162, + "step": 1184 + }, + { + "epoch": 2.76, + "learning_rate": 3.278336966439744e-07, + "loss": 0.5106, + "step": 1185 + }, + { + "epoch": 2.76, + "learning_rate": 3.2147159200759723e-07, + "loss": 0.5354, + "step": 1186 + }, + { + "epoch": 2.76, + "learning_rate": 3.151708183187674e-07, + "loss": 0.5781, + "step": 1187 + }, + { + "epoch": 2.77, + "learning_rate": 3.089314155042589e-07, + "loss": 0.5132, + "step": 1188 + }, + { + "epoch": 2.77, + "learning_rate": 3.0275342310195133e-07, + "loss": 0.5541, + "step": 1189 + }, + { + "epoch": 2.77, + "learning_rate": 2.9663688026057793e-07, + "loss": 0.5424, + "step": 1190 + }, + { + "epoch": 2.77, + "learning_rate": 2.905818257394799e-07, + "loss": 0.5082, + "step": 1191 + }, + { + "epoch": 2.78, + "learning_rate": 2.8458829790835474e-07, + "loss": 0.5351, + "step": 1192 + }, + { + "epoch": 2.78, + "learning_rate": 2.786563347470217e-07, + "loss": 0.5152, + "step": 1193 + }, + { + "epoch": 2.78, + "learning_rate": 2.727859738451721e-07, + "loss": 0.5417, + "step": 1194 + }, + { + "epoch": 2.78, + "learning_rate": 2.6697725240214076e-07, + "loss": 0.5221, + "step": 1195 + }, + { + "epoch": 2.78, + "learning_rate": 2.612302072266637e-07, + "loss": 0.5327, + "step": 1196 + }, + { + "epoch": 2.79, + "learning_rate": 2.5554487473664404e-07, + "loss": 0.5198, + "step": 1197 + }, + { + "epoch": 2.79, + "learning_rate": 2.499212909589244e-07, + "loss": 0.5331, + "step": 1198 + }, + { + "epoch": 2.79, + "learning_rate": 2.4435949152906144e-07, + "loss": 0.5349, + "step": 1199 + }, + { + "epoch": 2.79, + "learning_rate": 2.388595116910919e-07, + "loss": 0.5253, + "step": 1200 + }, + { + "epoch": 2.8, + "learning_rate": 2.334213862973167e-07, + "loss": 0.524, + "step": 1201 + }, + { + "epoch": 2.8, + "learning_rate": 2.280451498080749e-07, + "loss": 0.5217, + "step": 1202 + }, + { + "epoch": 2.8, + "learning_rate": 2.2273083629153148e-07, + "loss": 0.5278, + "step": 1203 + }, + { + "epoch": 2.8, + "learning_rate": 2.1747847942345191e-07, + "loss": 0.5448, + "step": 1204 + }, + { + "epoch": 2.81, + "learning_rate": 2.122881124870002e-07, + "loss": 0.5466, + "step": 1205 + }, + { + "epoch": 2.81, + "learning_rate": 2.0715976837251793e-07, + "loss": 0.5684, + "step": 1206 + }, + { + "epoch": 2.81, + "learning_rate": 2.0209347957732328e-07, + "loss": 0.5433, + "step": 1207 + }, + { + "epoch": 2.81, + "learning_rate": 1.9708927820550007e-07, + "loss": 0.547, + "step": 1208 + }, + { + "epoch": 2.81, + "learning_rate": 1.921471959676957e-07, + "loss": 0.5408, + "step": 1209 + }, + { + "epoch": 2.82, + "learning_rate": 1.8726726418092257e-07, + "loss": 0.536, + "step": 1210 + }, + { + "epoch": 2.82, + "learning_rate": 1.8244951376835907e-07, + "loss": 0.4941, + "step": 1211 + }, + { + "epoch": 2.82, + "learning_rate": 1.7769397525914668e-07, + "loss": 0.5647, + "step": 1212 + }, + { + "epoch": 2.82, + "learning_rate": 1.730006787882077e-07, + "loss": 0.534, + "step": 1213 + }, + { + "epoch": 2.83, + "learning_rate": 1.6836965409604666e-07, + "loss": 0.535, + "step": 1214 + }, + { + "epoch": 2.83, + "learning_rate": 1.6380093052856482e-07, + "loss": 0.5618, + "step": 1215 + }, + { + "epoch": 2.83, + "learning_rate": 1.592945370368715e-07, + "loss": 0.5552, + "step": 1216 + }, + { + "epoch": 2.83, + "learning_rate": 1.5485050217710295e-07, + "loss": 0.5793, + "step": 1217 + }, + { + "epoch": 2.84, + "learning_rate": 1.5046885411024393e-07, + "loss": 0.5114, + "step": 1218 + }, + { + "epoch": 2.84, + "learning_rate": 1.4614962060194303e-07, + "loss": 0.5431, + "step": 1219 + }, + { + "epoch": 2.84, + "learning_rate": 1.418928290223398e-07, + "loss": 0.5152, + "step": 1220 + }, + { + "epoch": 2.84, + "learning_rate": 1.3769850634589356e-07, + "loss": 0.5397, + "step": 1221 + }, + { + "epoch": 2.85, + "learning_rate": 1.3356667915121025e-07, + "loss": 0.5259, + "step": 1222 + }, + { + "epoch": 2.85, + "learning_rate": 1.2949737362087156e-07, + "loss": 0.4808, + "step": 1223 + }, + { + "epoch": 2.85, + "learning_rate": 1.2549061554127494e-07, + "loss": 0.5815, + "step": 1224 + }, + { + "epoch": 2.85, + "learning_rate": 1.2154643030246273e-07, + "loss": 0.5499, + "step": 1225 + }, + { + "epoch": 2.85, + "learning_rate": 1.1766484289796987e-07, + "loss": 0.4773, + "step": 1226 + }, + { + "epoch": 2.86, + "learning_rate": 1.1384587792465873e-07, + "loss": 0.5283, + "step": 1227 + }, + { + "epoch": 2.86, + "learning_rate": 1.1008955958256462e-07, + "loss": 0.5238, + "step": 1228 + }, + { + "epoch": 2.86, + "learning_rate": 1.0639591167474483e-07, + "loss": 0.5141, + "step": 1229 + }, + { + "epoch": 2.86, + "learning_rate": 1.0276495760712768e-07, + "loss": 0.5436, + "step": 1230 + }, + { + "epoch": 2.87, + "learning_rate": 9.919672038835926e-08, + "loss": 0.5246, + "step": 1231 + }, + { + "epoch": 2.87, + "learning_rate": 9.569122262966468e-08, + "loss": 0.5326, + "step": 1232 + }, + { + "epoch": 2.87, + "learning_rate": 9.224848654469932e-08, + "loss": 0.5491, + "step": 1233 + }, + { + "epoch": 2.87, + "learning_rate": 8.886853394940887e-08, + "loss": 0.5598, + "step": 1234 + }, + { + "epoch": 2.88, + "learning_rate": 8.555138626189619e-08, + "loss": 0.5204, + "step": 1235 + }, + { + "epoch": 2.88, + "learning_rate": 8.229706450227804e-08, + "loss": 0.5298, + "step": 1236 + }, + { + "epoch": 2.88, + "learning_rate": 7.910558929255852e-08, + "loss": 0.4973, + "step": 1237 + }, + { + "epoch": 2.88, + "learning_rate": 7.59769808564914e-08, + "loss": 0.4827, + "step": 1238 + }, + { + "epoch": 2.88, + "learning_rate": 7.291125901946027e-08, + "loss": 0.5202, + "step": 1239 + }, + { + "epoch": 2.89, + "learning_rate": 6.990844320834633e-08, + "loss": 0.5392, + "step": 1240 + }, + { + "epoch": 2.89, + "learning_rate": 6.696855245140743e-08, + "loss": 0.5167, + "step": 1241 + }, + { + "epoch": 2.89, + "learning_rate": 6.409160537815818e-08, + "loss": 0.4814, + "step": 1242 + }, + { + "epoch": 2.89, + "learning_rate": 6.127762021925221e-08, + "loss": 0.4992, + "step": 1243 + }, + { + "epoch": 2.9, + "learning_rate": 5.8526614806363456e-08, + "loss": 0.5211, + "step": 1244 + }, + { + "epoch": 2.9, + "learning_rate": 5.5838606572078404e-08, + "loss": 0.5153, + "step": 1245 + }, + { + "epoch": 2.9, + "learning_rate": 5.3213612549779524e-08, + "loss": 0.5662, + "step": 1246 + }, + { + "epoch": 2.9, + "learning_rate": 5.0651649373544276e-08, + "loss": 0.5081, + "step": 1247 + }, + { + "epoch": 2.91, + "learning_rate": 4.815273327803183e-08, + "loss": 0.4951, + "step": 1248 + }, + { + "epoch": 2.91, + "learning_rate": 4.571688009838648e-08, + "loss": 0.5379, + "step": 1249 + }, + { + "epoch": 2.91, + "learning_rate": 4.334410527013555e-08, + "loss": 0.5086, + "step": 1250 + }, + { + "epoch": 2.91, + "learning_rate": 4.103442382909051e-08, + "loss": 0.4992, + "step": 1251 + }, + { + "epoch": 2.92, + "learning_rate": 3.8787850411252656e-08, + "loss": 0.5843, + "step": 1252 + }, + { + "epoch": 2.92, + "learning_rate": 3.660439925271764e-08, + "loss": 0.4943, + "step": 1253 + }, + { + "epoch": 2.92, + "learning_rate": 3.448408418959326e-08, + "loss": 0.5269, + "step": 1254 + }, + { + "epoch": 2.92, + "learning_rate": 3.242691865790071e-08, + "loss": 0.5381, + "step": 1255 + }, + { + "epoch": 2.92, + "learning_rate": 3.043291569349571e-08, + "loss": 0.5113, + "step": 1256 + }, + { + "epoch": 2.93, + "learning_rate": 2.850208793198861e-08, + "loss": 0.5399, + "step": 1257 + }, + { + "epoch": 2.93, + "learning_rate": 2.6634447608657745e-08, + "loss": 0.517, + "step": 1258 + }, + { + "epoch": 2.93, + "learning_rate": 2.4830006558373975e-08, + "loss": 0.5314, + "step": 1259 + }, + { + "epoch": 2.93, + "learning_rate": 2.308877621553185e-08, + "loss": 0.5512, + "step": 1260 + }, + { + "epoch": 2.94, + "learning_rate": 2.1410767613965212e-08, + "loss": 0.5497, + "step": 1261 + }, + { + "epoch": 2.94, + "learning_rate": 1.979599138688948e-08, + "loss": 0.5278, + "step": 1262 + }, + { + "epoch": 2.94, + "learning_rate": 1.824445776682504e-08, + "loss": 0.5838, + "step": 1263 + }, + { + "epoch": 2.94, + "learning_rate": 1.675617658554063e-08, + "loss": 0.5841, + "step": 1264 + }, + { + "epoch": 2.95, + "learning_rate": 1.5331157273981155e-08, + "loss": 0.5178, + "step": 1265 + }, + { + "epoch": 2.95, + "learning_rate": 1.396940886221776e-08, + "loss": 0.5418, + "step": 1266 + }, + { + "epoch": 2.95, + "learning_rate": 1.267093997938451e-08, + "loss": 0.5459, + "step": 1267 + }, + { + "epoch": 2.95, + "learning_rate": 1.1435758853624025e-08, + "loss": 0.5416, + "step": 1268 + }, + { + "epoch": 2.95, + "learning_rate": 1.0263873312040818e-08, + "loss": 0.4738, + "step": 1269 + }, + { + "epoch": 2.96, + "learning_rate": 9.155290780643588e-09, + "loss": 0.4997, + "step": 1270 + }, + { + "epoch": 2.96, + "learning_rate": 8.110018284304132e-09, + "loss": 0.5079, + "step": 1271 + }, + { + "epoch": 2.96, + "learning_rate": 7.128062446709605e-09, + "loss": 0.5233, + "step": 1272 + }, + { + "epoch": 2.96, + "learning_rate": 6.209429490323659e-09, + "loss": 0.5468, + "step": 1273 + }, + { + "epoch": 2.97, + "learning_rate": 5.354125236343155e-09, + "loss": 0.4702, + "step": 1274 + }, + { + "epoch": 2.97, + "learning_rate": 4.562155104665955e-09, + "loss": 0.5532, + "step": 1275 + }, + { + "epoch": 2.97, + "learning_rate": 3.833524113852072e-09, + "loss": 0.5876, + "step": 1276 + }, + { + "epoch": 2.97, + "learning_rate": 3.168236881092579e-09, + "loss": 0.5518, + "step": 1277 + }, + { + "epoch": 2.98, + "learning_rate": 2.5662976221840772e-09, + "loss": 0.5515, + "step": 1278 + }, + { + "epoch": 2.98, + "learning_rate": 2.0277101514987184e-09, + "loss": 0.5418, + "step": 1279 + }, + { + "epoch": 2.98, + "learning_rate": 1.5524778819597797e-09, + "loss": 0.5568, + "step": 1280 + }, + { + "epoch": 2.98, + "learning_rate": 1.1406038250205699e-09, + "loss": 0.5101, + "step": 1281 + }, + { + "epoch": 2.98, + "learning_rate": 7.920905906488862e-10, + "loss": 0.5384, + "step": 1282 + }, + { + "epoch": 2.99, + "learning_rate": 5.069403873025902e-10, + "loss": 0.505, + "step": 1283 + }, + { + "epoch": 2.99, + "learning_rate": 2.851550219240551e-10, + "loss": 0.5432, + "step": 1284 + }, + { + "epoch": 2.99, + "learning_rate": 1.2673589992462377e-10, + "loss": 0.5034, + "step": 1285 + }, + { + "epoch": 2.99, + "learning_rate": 3.168402517461644e-11, + "loss": 0.5194, + "step": 1286 + }, + { + "epoch": 3.0, + "learning_rate": 0.0, + "loss": 0.5364, + "step": 1287 + }, + { + "epoch": 3.0, + "step": 1287, + "total_flos": 1.6828647573018378e+18, + "train_loss": 0.6138159237634144, + "train_runtime": 12078.4868, + "train_samples_per_second": 13.654, + "train_steps_per_second": 0.107 + } + ], + "logging_steps": 1.0, + "max_steps": 1287, + "num_input_tokens_seen": 0, + "num_train_epochs": 3, + "save_steps": 10000, + "total_flos": 1.6828647573018378e+18, + "train_batch_size": 4, + "trial_name": null, + "trial_params": null +}