| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 4.0, | |
| "eval_steps": 1, | |
| "global_step": 99, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.04040404040404041, | |
| "grad_norm": 2.088834762573242, | |
| "learning_rate": 8.333333333333333e-07, | |
| "loss": 5.4688, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.04040404040404041, | |
| "eval_loss": 5.470384120941162, | |
| "eval_runtime": 4.8066, | |
| "eval_samples_per_second": 34.536, | |
| "eval_steps_per_second": 0.624, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.08080808080808081, | |
| "grad_norm": 2.0961971282958984, | |
| "learning_rate": 1.6666666666666667e-06, | |
| "loss": 5.4731, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.08080808080808081, | |
| "eval_loss": 5.4689249992370605, | |
| "eval_runtime": 4.8593, | |
| "eval_samples_per_second": 34.161, | |
| "eval_steps_per_second": 0.617, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.12121212121212122, | |
| "grad_norm": 2.0940349102020264, | |
| "learning_rate": 2.5e-06, | |
| "loss": 5.4803, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.12121212121212122, | |
| "eval_loss": 5.467825412750244, | |
| "eval_runtime": 4.9081, | |
| "eval_samples_per_second": 33.822, | |
| "eval_steps_per_second": 0.611, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.16161616161616163, | |
| "grad_norm": 2.095174551010132, | |
| "learning_rate": 3.3333333333333333e-06, | |
| "loss": 5.5119, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.16161616161616163, | |
| "eval_loss": 5.465516567230225, | |
| "eval_runtime": 4.8615, | |
| "eval_samples_per_second": 34.146, | |
| "eval_steps_per_second": 0.617, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.20202020202020202, | |
| "grad_norm": 2.1109118461608887, | |
| "learning_rate": 4.166666666666667e-06, | |
| "loss": 5.4662, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.20202020202020202, | |
| "eval_loss": 5.4626851081848145, | |
| "eval_runtime": 4.844, | |
| "eval_samples_per_second": 34.27, | |
| "eval_steps_per_second": 0.619, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.24242424242424243, | |
| "grad_norm": 2.1030592918395996, | |
| "learning_rate": 5e-06, | |
| "loss": 5.4691, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.24242424242424243, | |
| "eval_loss": 5.45806884765625, | |
| "eval_runtime": 4.8388, | |
| "eval_samples_per_second": 34.306, | |
| "eval_steps_per_second": 0.62, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.2828282828282828, | |
| "grad_norm": 2.1202447414398193, | |
| "learning_rate": 5.833333333333334e-06, | |
| "loss": 5.4851, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.2828282828282828, | |
| "eval_loss": 5.449892520904541, | |
| "eval_runtime": 4.8431, | |
| "eval_samples_per_second": 34.276, | |
| "eval_steps_per_second": 0.619, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.32323232323232326, | |
| "grad_norm": 2.090963363647461, | |
| "learning_rate": 6.666666666666667e-06, | |
| "loss": 5.4228, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.32323232323232326, | |
| "eval_loss": 5.442515850067139, | |
| "eval_runtime": 4.8605, | |
| "eval_samples_per_second": 34.153, | |
| "eval_steps_per_second": 0.617, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.36363636363636365, | |
| "grad_norm": 2.112323760986328, | |
| "learning_rate": 7.500000000000001e-06, | |
| "loss": 5.4715, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.36363636363636365, | |
| "eval_loss": 5.4345855712890625, | |
| "eval_runtime": 4.8796, | |
| "eval_samples_per_second": 34.019, | |
| "eval_steps_per_second": 0.615, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.40404040404040403, | |
| "grad_norm": 2.1456995010375977, | |
| "learning_rate": 8.333333333333334e-06, | |
| "loss": 5.4211, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.40404040404040403, | |
| "eval_loss": 5.424546718597412, | |
| "eval_runtime": 4.9274, | |
| "eval_samples_per_second": 33.689, | |
| "eval_steps_per_second": 0.609, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.4444444444444444, | |
| "grad_norm": 2.1602349281311035, | |
| "learning_rate": 9.166666666666666e-06, | |
| "loss": 5.4301, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.4444444444444444, | |
| "eval_loss": 5.41035795211792, | |
| "eval_runtime": 4.9819, | |
| "eval_samples_per_second": 33.32, | |
| "eval_steps_per_second": 0.602, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.48484848484848486, | |
| "grad_norm": 2.1762421131134033, | |
| "learning_rate": 1e-05, | |
| "loss": 5.4158, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.48484848484848486, | |
| "eval_loss": 5.400452613830566, | |
| "eval_runtime": 5.0737, | |
| "eval_samples_per_second": 32.718, | |
| "eval_steps_per_second": 0.591, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.5252525252525253, | |
| "grad_norm": 2.2415969371795654, | |
| "learning_rate": 1.0833333333333334e-05, | |
| "loss": 5.3986, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.5252525252525253, | |
| "eval_loss": 5.382190227508545, | |
| "eval_runtime": 4.9555, | |
| "eval_samples_per_second": 33.498, | |
| "eval_steps_per_second": 0.605, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.5656565656565656, | |
| "grad_norm": 2.2669475078582764, | |
| "learning_rate": 1.1666666666666668e-05, | |
| "loss": 5.428, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.5656565656565656, | |
| "eval_loss": 5.3634443283081055, | |
| "eval_runtime": 4.9029, | |
| "eval_samples_per_second": 33.857, | |
| "eval_steps_per_second": 0.612, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.6060606060606061, | |
| "grad_norm": 2.262896776199341, | |
| "learning_rate": 1.25e-05, | |
| "loss": 5.3741, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.6060606060606061, | |
| "eval_loss": 5.347131729125977, | |
| "eval_runtime": 4.8934, | |
| "eval_samples_per_second": 33.923, | |
| "eval_steps_per_second": 0.613, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.6464646464646465, | |
| "grad_norm": 2.3363702297210693, | |
| "learning_rate": 1.3333333333333333e-05, | |
| "loss": 5.4134, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.6464646464646465, | |
| "eval_loss": 5.321357250213623, | |
| "eval_runtime": 4.9027, | |
| "eval_samples_per_second": 33.859, | |
| "eval_steps_per_second": 0.612, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.6868686868686869, | |
| "grad_norm": 2.3906755447387695, | |
| "learning_rate": 1.416666666666667e-05, | |
| "loss": 5.3305, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.6868686868686869, | |
| "eval_loss": 5.292910099029541, | |
| "eval_runtime": 4.9268, | |
| "eval_samples_per_second": 33.693, | |
| "eval_steps_per_second": 0.609, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.7272727272727273, | |
| "grad_norm": 2.44368839263916, | |
| "learning_rate": 1.5000000000000002e-05, | |
| "loss": 5.3406, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.7272727272727273, | |
| "eval_loss": 5.257543563842773, | |
| "eval_runtime": 4.9839, | |
| "eval_samples_per_second": 33.308, | |
| "eval_steps_per_second": 0.602, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.7676767676767676, | |
| "grad_norm": 2.4937825202941895, | |
| "learning_rate": 1.5833333333333333e-05, | |
| "loss": 5.3134, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 0.7676767676767676, | |
| "eval_loss": 5.225679874420166, | |
| "eval_runtime": 5.1205, | |
| "eval_samples_per_second": 32.419, | |
| "eval_steps_per_second": 0.586, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 0.8080808080808081, | |
| "grad_norm": 2.547194480895996, | |
| "learning_rate": 1.6666666666666667e-05, | |
| "loss": 5.2303, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.8080808080808081, | |
| "eval_loss": 5.183907985687256, | |
| "eval_runtime": 5.1208, | |
| "eval_samples_per_second": 32.417, | |
| "eval_steps_per_second": 0.586, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.8484848484848485, | |
| "grad_norm": 2.5578083992004395, | |
| "learning_rate": 1.7500000000000002e-05, | |
| "loss": 5.1255, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 0.8484848484848485, | |
| "eval_loss": 5.136340141296387, | |
| "eval_runtime": 5.1161, | |
| "eval_samples_per_second": 32.446, | |
| "eval_steps_per_second": 0.586, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 0.8888888888888888, | |
| "grad_norm": 2.6553032398223877, | |
| "learning_rate": 1.8333333333333333e-05, | |
| "loss": 5.1376, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 0.8888888888888888, | |
| "eval_loss": 5.085525035858154, | |
| "eval_runtime": 5.1496, | |
| "eval_samples_per_second": 32.236, | |
| "eval_steps_per_second": 0.583, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 0.9292929292929293, | |
| "grad_norm": 2.733492374420166, | |
| "learning_rate": 1.916666666666667e-05, | |
| "loss": 5.1051, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 0.9292929292929293, | |
| "eval_loss": 5.0193634033203125, | |
| "eval_runtime": 5.0473, | |
| "eval_samples_per_second": 32.889, | |
| "eval_steps_per_second": 0.594, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 0.9696969696969697, | |
| "grad_norm": 2.765582799911499, | |
| "learning_rate": 2e-05, | |
| "loss": 5.0082, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.9696969696969697, | |
| "eval_loss": 4.950736999511719, | |
| "eval_runtime": 4.989, | |
| "eval_samples_per_second": 33.273, | |
| "eval_steps_per_second": 0.601, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 1.0101010101010102, | |
| "grad_norm": 2.8943891525268555, | |
| "learning_rate": 1.990740740740741e-05, | |
| "loss": 4.9736, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 1.0101010101010102, | |
| "eval_loss": 4.87933349609375, | |
| "eval_runtime": 4.991, | |
| "eval_samples_per_second": 33.26, | |
| "eval_steps_per_second": 0.601, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 1.0505050505050506, | |
| "grad_norm": 2.9802019596099854, | |
| "learning_rate": 1.9814814814814816e-05, | |
| "loss": 4.8728, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 1.0505050505050506, | |
| "eval_loss": 4.796956539154053, | |
| "eval_runtime": 5.0224, | |
| "eval_samples_per_second": 33.052, | |
| "eval_steps_per_second": 0.597, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 1.0909090909090908, | |
| "grad_norm": 3.068443536758423, | |
| "learning_rate": 1.9722222222222224e-05, | |
| "loss": 4.8132, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 1.0909090909090908, | |
| "eval_loss": 4.7025275230407715, | |
| "eval_runtime": 5.1226, | |
| "eval_samples_per_second": 32.406, | |
| "eval_steps_per_second": 0.586, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 1.1313131313131313, | |
| "grad_norm": 3.2245917320251465, | |
| "learning_rate": 1.962962962962963e-05, | |
| "loss": 4.7175, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 1.1313131313131313, | |
| "eval_loss": 4.607891082763672, | |
| "eval_runtime": 5.0927, | |
| "eval_samples_per_second": 32.596, | |
| "eval_steps_per_second": 0.589, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 1.1717171717171717, | |
| "grad_norm": 3.3136157989501953, | |
| "learning_rate": 1.9537037037037038e-05, | |
| "loss": 4.6429, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 1.1717171717171717, | |
| "eval_loss": 4.510694980621338, | |
| "eval_runtime": 5.0136, | |
| "eval_samples_per_second": 33.11, | |
| "eval_steps_per_second": 0.598, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 1.2121212121212122, | |
| "grad_norm": 3.329773426055908, | |
| "learning_rate": 1.9444444444444445e-05, | |
| "loss": 4.4686, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 1.2121212121212122, | |
| "eval_loss": 4.406045913696289, | |
| "eval_runtime": 4.9753, | |
| "eval_samples_per_second": 33.365, | |
| "eval_steps_per_second": 0.603, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 1.2525252525252526, | |
| "grad_norm": 3.5462117195129395, | |
| "learning_rate": 1.9351851851851853e-05, | |
| "loss": 4.427, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 1.2525252525252526, | |
| "eval_loss": 4.309689998626709, | |
| "eval_runtime": 4.9974, | |
| "eval_samples_per_second": 33.217, | |
| "eval_steps_per_second": 0.6, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 1.2929292929292928, | |
| "grad_norm": 3.6190805435180664, | |
| "learning_rate": 1.925925925925926e-05, | |
| "loss": 4.2899, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 1.2929292929292928, | |
| "eval_loss": 4.215596675872803, | |
| "eval_runtime": 5.0637, | |
| "eval_samples_per_second": 32.782, | |
| "eval_steps_per_second": 0.592, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 1.3333333333333333, | |
| "grad_norm": 3.698317289352417, | |
| "learning_rate": 1.916666666666667e-05, | |
| "loss": 4.1752, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 1.3333333333333333, | |
| "eval_loss": 4.106834411621094, | |
| "eval_runtime": 5.1651, | |
| "eval_samples_per_second": 32.139, | |
| "eval_steps_per_second": 0.581, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 1.3737373737373737, | |
| "grad_norm": 3.4807214736938477, | |
| "learning_rate": 1.9074074074074075e-05, | |
| "loss": 4.1277, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 1.3737373737373737, | |
| "eval_loss": 4.001583099365234, | |
| "eval_runtime": 5.0567, | |
| "eval_samples_per_second": 32.828, | |
| "eval_steps_per_second": 0.593, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 1.4141414141414141, | |
| "grad_norm": 3.1380534172058105, | |
| "learning_rate": 1.8981481481481482e-05, | |
| "loss": 4.0069, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 1.4141414141414141, | |
| "eval_loss": 3.9105026721954346, | |
| "eval_runtime": 5.07, | |
| "eval_samples_per_second": 32.741, | |
| "eval_steps_per_second": 0.592, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 1.4545454545454546, | |
| "grad_norm": 2.9076974391937256, | |
| "learning_rate": 1.888888888888889e-05, | |
| "loss": 3.8911, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 1.4545454545454546, | |
| "eval_loss": 3.838275194168091, | |
| "eval_runtime": 5.1402, | |
| "eval_samples_per_second": 32.295, | |
| "eval_steps_per_second": 0.584, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 1.494949494949495, | |
| "grad_norm": 2.4755232334136963, | |
| "learning_rate": 1.8796296296296296e-05, | |
| "loss": 3.8522, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 1.494949494949495, | |
| "eval_loss": 3.776526689529419, | |
| "eval_runtime": 5.1768, | |
| "eval_samples_per_second": 32.066, | |
| "eval_steps_per_second": 0.58, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 1.5353535353535355, | |
| "grad_norm": 2.1607069969177246, | |
| "learning_rate": 1.8703703703703707e-05, | |
| "loss": 3.7828, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 1.5353535353535355, | |
| "eval_loss": 3.7257139682769775, | |
| "eval_runtime": 5.1584, | |
| "eval_samples_per_second": 32.181, | |
| "eval_steps_per_second": 0.582, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 1.5757575757575757, | |
| "grad_norm": 1.9251853227615356, | |
| "learning_rate": 1.8611111111111114e-05, | |
| "loss": 3.7511, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 1.5757575757575757, | |
| "eval_loss": 3.680651903152466, | |
| "eval_runtime": 5.139, | |
| "eval_samples_per_second": 32.302, | |
| "eval_steps_per_second": 0.584, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 1.6161616161616161, | |
| "grad_norm": 1.8553980588912964, | |
| "learning_rate": 1.851851851851852e-05, | |
| "loss": 3.7108, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 1.6161616161616161, | |
| "eval_loss": 3.633517026901245, | |
| "eval_runtime": 5.1036, | |
| "eval_samples_per_second": 32.526, | |
| "eval_steps_per_second": 0.588, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 1.6565656565656566, | |
| "grad_norm": 1.831110954284668, | |
| "learning_rate": 1.8425925925925926e-05, | |
| "loss": 3.6165, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 1.6565656565656566, | |
| "eval_loss": 3.5877223014831543, | |
| "eval_runtime": 5.1287, | |
| "eval_samples_per_second": 32.367, | |
| "eval_steps_per_second": 0.585, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 1.696969696969697, | |
| "grad_norm": 1.8035303354263306, | |
| "learning_rate": 1.8333333333333333e-05, | |
| "loss": 3.5555, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 1.696969696969697, | |
| "eval_loss": 3.5403287410736084, | |
| "eval_runtime": 5.1001, | |
| "eval_samples_per_second": 32.549, | |
| "eval_steps_per_second": 0.588, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 1.7373737373737375, | |
| "grad_norm": 1.7953453063964844, | |
| "learning_rate": 1.8240740740740744e-05, | |
| "loss": 3.5437, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 1.7373737373737375, | |
| "eval_loss": 3.492953300476074, | |
| "eval_runtime": 5.1541, | |
| "eval_samples_per_second": 32.207, | |
| "eval_steps_per_second": 0.582, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 1.7777777777777777, | |
| "grad_norm": 1.7807087898254395, | |
| "learning_rate": 1.814814814814815e-05, | |
| "loss": 3.4676, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 1.7777777777777777, | |
| "eval_loss": 3.443131446838379, | |
| "eval_runtime": 5.1066, | |
| "eval_samples_per_second": 32.507, | |
| "eval_steps_per_second": 0.587, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 1.8181818181818183, | |
| "grad_norm": 1.8204630613327026, | |
| "learning_rate": 1.8055555555555558e-05, | |
| "loss": 3.4517, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 1.8181818181818183, | |
| "eval_loss": 3.396712303161621, | |
| "eval_runtime": 5.1475, | |
| "eval_samples_per_second": 32.249, | |
| "eval_steps_per_second": 0.583, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 1.8585858585858586, | |
| "grad_norm": 1.8122252225875854, | |
| "learning_rate": 1.7962962962962965e-05, | |
| "loss": 3.4189, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 1.8585858585858586, | |
| "eval_loss": 3.3434314727783203, | |
| "eval_runtime": 5.0828, | |
| "eval_samples_per_second": 32.659, | |
| "eval_steps_per_second": 0.59, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 1.898989898989899, | |
| "grad_norm": 1.8433269262313843, | |
| "learning_rate": 1.7870370370370373e-05, | |
| "loss": 3.3537, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 1.898989898989899, | |
| "eval_loss": 3.294283628463745, | |
| "eval_runtime": 5.1195, | |
| "eval_samples_per_second": 32.425, | |
| "eval_steps_per_second": 0.586, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 1.9393939393939394, | |
| "grad_norm": 1.833533763885498, | |
| "learning_rate": 1.7777777777777777e-05, | |
| "loss": 3.3034, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 1.9393939393939394, | |
| "eval_loss": 3.2412631511688232, | |
| "eval_runtime": 5.1404, | |
| "eval_samples_per_second": 32.293, | |
| "eval_steps_per_second": 0.584, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 1.9797979797979797, | |
| "grad_norm": 1.823169469833374, | |
| "learning_rate": 1.7685185185185187e-05, | |
| "loss": 3.2457, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 1.9797979797979797, | |
| "eval_loss": 3.1890854835510254, | |
| "eval_runtime": 5.1319, | |
| "eval_samples_per_second": 32.347, | |
| "eval_steps_per_second": 0.585, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 2.0202020202020203, | |
| "grad_norm": 1.796790361404419, | |
| "learning_rate": 1.7592592592592595e-05, | |
| "loss": 3.1915, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 2.0202020202020203, | |
| "eval_loss": 3.1396946907043457, | |
| "eval_runtime": 5.1262, | |
| "eval_samples_per_second": 32.383, | |
| "eval_steps_per_second": 0.585, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 2.0606060606060606, | |
| "grad_norm": 1.7133023738861084, | |
| "learning_rate": 1.7500000000000002e-05, | |
| "loss": 3.1475, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 2.0606060606060606, | |
| "eval_loss": 3.093197822570801, | |
| "eval_runtime": 5.141, | |
| "eval_samples_per_second": 32.29, | |
| "eval_steps_per_second": 0.584, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 2.101010101010101, | |
| "grad_norm": 1.637424111366272, | |
| "learning_rate": 1.740740740740741e-05, | |
| "loss": 3.0912, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 2.101010101010101, | |
| "eval_loss": 3.0486488342285156, | |
| "eval_runtime": 5.1578, | |
| "eval_samples_per_second": 32.185, | |
| "eval_steps_per_second": 0.582, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 2.1414141414141414, | |
| "grad_norm": 1.5733733177185059, | |
| "learning_rate": 1.7314814814814816e-05, | |
| "loss": 3.0493, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 2.1414141414141414, | |
| "eval_loss": 3.007200002670288, | |
| "eval_runtime": 5.1715, | |
| "eval_samples_per_second": 32.099, | |
| "eval_steps_per_second": 0.58, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 2.1818181818181817, | |
| "grad_norm": 1.579100251197815, | |
| "learning_rate": 1.7222222222222224e-05, | |
| "loss": 3.0007, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 2.1818181818181817, | |
| "eval_loss": 2.9646313190460205, | |
| "eval_runtime": 5.1737, | |
| "eval_samples_per_second": 32.085, | |
| "eval_steps_per_second": 0.58, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 2.2222222222222223, | |
| "grad_norm": 1.5558359622955322, | |
| "learning_rate": 1.712962962962963e-05, | |
| "loss": 2.955, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 2.2222222222222223, | |
| "eval_loss": 2.9225423336029053, | |
| "eval_runtime": 5.1649, | |
| "eval_samples_per_second": 32.14, | |
| "eval_steps_per_second": 0.581, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 2.2626262626262625, | |
| "grad_norm": 1.5695600509643555, | |
| "learning_rate": 1.7037037037037038e-05, | |
| "loss": 2.9242, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 2.2626262626262625, | |
| "eval_loss": 2.883842706680298, | |
| "eval_runtime": 5.1565, | |
| "eval_samples_per_second": 32.192, | |
| "eval_steps_per_second": 0.582, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 2.303030303030303, | |
| "grad_norm": 1.5856674909591675, | |
| "learning_rate": 1.6944444444444446e-05, | |
| "loss": 2.8626, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 2.303030303030303, | |
| "eval_loss": 2.8435447216033936, | |
| "eval_runtime": 5.1634, | |
| "eval_samples_per_second": 32.15, | |
| "eval_steps_per_second": 0.581, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 2.3434343434343434, | |
| "grad_norm": 1.5780515670776367, | |
| "learning_rate": 1.6851851851851853e-05, | |
| "loss": 2.8522, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 2.3434343434343434, | |
| "eval_loss": 2.8028392791748047, | |
| "eval_runtime": 5.1666, | |
| "eval_samples_per_second": 32.129, | |
| "eval_steps_per_second": 0.581, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 2.3838383838383836, | |
| "grad_norm": 1.5944206714630127, | |
| "learning_rate": 1.675925925925926e-05, | |
| "loss": 2.8222, | |
| "step": 59 | |
| }, | |
| { | |
| "epoch": 2.3838383838383836, | |
| "eval_loss": 2.7607803344726562, | |
| "eval_runtime": 5.1662, | |
| "eval_samples_per_second": 32.132, | |
| "eval_steps_per_second": 0.581, | |
| "step": 59 | |
| }, | |
| { | |
| "epoch": 2.4242424242424243, | |
| "grad_norm": 1.6033095121383667, | |
| "learning_rate": 1.6666666666666667e-05, | |
| "loss": 2.7291, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 2.4242424242424243, | |
| "eval_loss": 2.7191247940063477, | |
| "eval_runtime": 5.1631, | |
| "eval_samples_per_second": 32.151, | |
| "eval_steps_per_second": 0.581, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 2.4646464646464645, | |
| "grad_norm": 1.621768593788147, | |
| "learning_rate": 1.6574074074074075e-05, | |
| "loss": 2.7046, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 2.4646464646464645, | |
| "eval_loss": 2.6788933277130127, | |
| "eval_runtime": 5.1728, | |
| "eval_samples_per_second": 32.091, | |
| "eval_steps_per_second": 0.58, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 2.505050505050505, | |
| "grad_norm": 1.6213834285736084, | |
| "learning_rate": 1.6481481481481482e-05, | |
| "loss": 2.6548, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 2.505050505050505, | |
| "eval_loss": 2.6340527534484863, | |
| "eval_runtime": 5.1628, | |
| "eval_samples_per_second": 32.153, | |
| "eval_steps_per_second": 0.581, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 2.5454545454545454, | |
| "grad_norm": 1.607869267463684, | |
| "learning_rate": 1.638888888888889e-05, | |
| "loss": 2.6232, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 2.5454545454545454, | |
| "eval_loss": 2.594001531600952, | |
| "eval_runtime": 5.1624, | |
| "eval_samples_per_second": 32.155, | |
| "eval_steps_per_second": 0.581, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 2.5858585858585856, | |
| "grad_norm": 1.583896279335022, | |
| "learning_rate": 1.6296296296296297e-05, | |
| "loss": 2.6068, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 2.5858585858585856, | |
| "eval_loss": 2.5528736114501953, | |
| "eval_runtime": 5.1694, | |
| "eval_samples_per_second": 32.112, | |
| "eval_steps_per_second": 0.58, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 2.6262626262626263, | |
| "grad_norm": 1.5254372358322144, | |
| "learning_rate": 1.6203703703703707e-05, | |
| "loss": 2.5629, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 2.6262626262626263, | |
| "eval_loss": 2.5128839015960693, | |
| "eval_runtime": 5.1624, | |
| "eval_samples_per_second": 32.155, | |
| "eval_steps_per_second": 0.581, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 2.6666666666666665, | |
| "grad_norm": 1.4735966920852661, | |
| "learning_rate": 1.6111111111111115e-05, | |
| "loss": 2.523, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 2.6666666666666665, | |
| "eval_loss": 2.4759180545806885, | |
| "eval_runtime": 5.1612, | |
| "eval_samples_per_second": 32.163, | |
| "eval_steps_per_second": 0.581, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 2.707070707070707, | |
| "grad_norm": 1.4135326147079468, | |
| "learning_rate": 1.601851851851852e-05, | |
| "loss": 2.5069, | |
| "step": 67 | |
| }, | |
| { | |
| "epoch": 2.707070707070707, | |
| "eval_loss": 2.4382143020629883, | |
| "eval_runtime": 5.1435, | |
| "eval_samples_per_second": 32.274, | |
| "eval_steps_per_second": 0.583, | |
| "step": 67 | |
| }, | |
| { | |
| "epoch": 2.7474747474747474, | |
| "grad_norm": 1.3859189748764038, | |
| "learning_rate": 1.5925925925925926e-05, | |
| "loss": 2.449, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 2.7474747474747474, | |
| "eval_loss": 2.3999476432800293, | |
| "eval_runtime": 5.0261, | |
| "eval_samples_per_second": 33.028, | |
| "eval_steps_per_second": 0.597, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 2.787878787878788, | |
| "grad_norm": 1.3678818941116333, | |
| "learning_rate": 1.5833333333333333e-05, | |
| "loss": 2.3977, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 2.787878787878788, | |
| "eval_loss": 2.365516424179077, | |
| "eval_runtime": 4.9945, | |
| "eval_samples_per_second": 33.237, | |
| "eval_steps_per_second": 0.601, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 2.8282828282828283, | |
| "grad_norm": 1.372074842453003, | |
| "learning_rate": 1.5740740740740744e-05, | |
| "loss": 2.3556, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 2.8282828282828283, | |
| "eval_loss": 2.3320348262786865, | |
| "eval_runtime": 5.0457, | |
| "eval_samples_per_second": 32.899, | |
| "eval_steps_per_second": 0.595, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 2.8686868686868685, | |
| "grad_norm": 1.355190634727478, | |
| "learning_rate": 1.564814814814815e-05, | |
| "loss": 2.3269, | |
| "step": 71 | |
| }, | |
| { | |
| "epoch": 2.8686868686868685, | |
| "eval_loss": 2.2980406284332275, | |
| "eval_runtime": 5.1448, | |
| "eval_samples_per_second": 32.265, | |
| "eval_steps_per_second": 0.583, | |
| "step": 71 | |
| }, | |
| { | |
| "epoch": 2.909090909090909, | |
| "grad_norm": 1.34852135181427, | |
| "learning_rate": 1.555555555555556e-05, | |
| "loss": 2.2962, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 2.909090909090909, | |
| "eval_loss": 2.262707233428955, | |
| "eval_runtime": 5.1599, | |
| "eval_samples_per_second": 32.171, | |
| "eval_steps_per_second": 0.581, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 2.9494949494949494, | |
| "grad_norm": 1.3559976816177368, | |
| "learning_rate": 1.5462962962962966e-05, | |
| "loss": 2.2534, | |
| "step": 73 | |
| }, | |
| { | |
| "epoch": 2.9494949494949494, | |
| "eval_loss": 2.2291126251220703, | |
| "eval_runtime": 5.0794, | |
| "eval_samples_per_second": 32.681, | |
| "eval_steps_per_second": 0.591, | |
| "step": 73 | |
| }, | |
| { | |
| "epoch": 2.98989898989899, | |
| "grad_norm": 1.3566159009933472, | |
| "learning_rate": 1.537037037037037e-05, | |
| "loss": 2.2061, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 2.98989898989899, | |
| "eval_loss": 2.193363904953003, | |
| "eval_runtime": 5.0616, | |
| "eval_samples_per_second": 32.796, | |
| "eval_steps_per_second": 0.593, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 3.0303030303030303, | |
| "grad_norm": 1.3466676473617554, | |
| "learning_rate": 1.5277777777777777e-05, | |
| "loss": 2.1815, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 3.0303030303030303, | |
| "eval_loss": 2.159188985824585, | |
| "eval_runtime": 5.0978, | |
| "eval_samples_per_second": 32.563, | |
| "eval_steps_per_second": 0.588, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 3.0707070707070705, | |
| "grad_norm": 1.354913592338562, | |
| "learning_rate": 1.5185185185185187e-05, | |
| "loss": 2.1622, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 3.0707070707070705, | |
| "eval_loss": 2.124568462371826, | |
| "eval_runtime": 5.1439, | |
| "eval_samples_per_second": 32.271, | |
| "eval_steps_per_second": 0.583, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 3.111111111111111, | |
| "grad_norm": 1.360551357269287, | |
| "learning_rate": 1.5092592592592595e-05, | |
| "loss": 2.1079, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 3.111111111111111, | |
| "eval_loss": 2.092242956161499, | |
| "eval_runtime": 5.1333, | |
| "eval_samples_per_second": 32.338, | |
| "eval_steps_per_second": 0.584, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 3.1515151515151514, | |
| "grad_norm": 1.3474143743515015, | |
| "learning_rate": 1.5000000000000002e-05, | |
| "loss": 2.1036, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 3.1515151515151514, | |
| "eval_loss": 2.0584089756011963, | |
| "eval_runtime": 5.1757, | |
| "eval_samples_per_second": 32.073, | |
| "eval_steps_per_second": 0.58, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 3.191919191919192, | |
| "grad_norm": 1.368388295173645, | |
| "learning_rate": 1.4907407407407408e-05, | |
| "loss": 2.0527, | |
| "step": 79 | |
| }, | |
| { | |
| "epoch": 3.191919191919192, | |
| "eval_loss": 2.0241854190826416, | |
| "eval_runtime": 5.1747, | |
| "eval_samples_per_second": 32.079, | |
| "eval_steps_per_second": 0.58, | |
| "step": 79 | |
| }, | |
| { | |
| "epoch": 3.2323232323232323, | |
| "grad_norm": 1.3582555055618286, | |
| "learning_rate": 1.4814814814814815e-05, | |
| "loss": 1.9958, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 3.2323232323232323, | |
| "eval_loss": 1.990015983581543, | |
| "eval_runtime": 5.1542, | |
| "eval_samples_per_second": 32.207, | |
| "eval_steps_per_second": 0.582, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 3.2727272727272725, | |
| "grad_norm": 1.3820135593414307, | |
| "learning_rate": 1.4722222222222224e-05, | |
| "loss": 1.9878, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 3.2727272727272725, | |
| "eval_loss": 1.9560723304748535, | |
| "eval_runtime": 5.176, | |
| "eval_samples_per_second": 32.071, | |
| "eval_steps_per_second": 0.58, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 3.313131313131313, | |
| "grad_norm": 1.4004285335540771, | |
| "learning_rate": 1.4629629629629631e-05, | |
| "loss": 1.9533, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 3.313131313131313, | |
| "eval_loss": 1.9231067895889282, | |
| "eval_runtime": 5.1634, | |
| "eval_samples_per_second": 32.149, | |
| "eval_steps_per_second": 0.581, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 3.3535353535353534, | |
| "grad_norm": 1.4260685443878174, | |
| "learning_rate": 1.4537037037037039e-05, | |
| "loss": 1.9066, | |
| "step": 83 | |
| }, | |
| { | |
| "epoch": 3.3535353535353534, | |
| "eval_loss": 1.8882259130477905, | |
| "eval_runtime": 5.1573, | |
| "eval_samples_per_second": 32.187, | |
| "eval_steps_per_second": 0.582, | |
| "step": 83 | |
| }, | |
| { | |
| "epoch": 3.393939393939394, | |
| "grad_norm": 1.4351316690444946, | |
| "learning_rate": 1.4444444444444446e-05, | |
| "loss": 1.8803, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 3.393939393939394, | |
| "eval_loss": 1.8546966314315796, | |
| "eval_runtime": 5.1748, | |
| "eval_samples_per_second": 32.078, | |
| "eval_steps_per_second": 0.58, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 3.4343434343434343, | |
| "grad_norm": 1.4154078960418701, | |
| "learning_rate": 1.4351851851851853e-05, | |
| "loss": 1.8668, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 3.4343434343434343, | |
| "eval_loss": 1.820953369140625, | |
| "eval_runtime": 5.1325, | |
| "eval_samples_per_second": 32.343, | |
| "eval_steps_per_second": 0.585, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 3.474747474747475, | |
| "grad_norm": 1.4371109008789062, | |
| "learning_rate": 1.4259259259259259e-05, | |
| "loss": 1.822, | |
| "step": 86 | |
| }, | |
| { | |
| "epoch": 3.474747474747475, | |
| "eval_loss": 1.7877326011657715, | |
| "eval_runtime": 5.1654, | |
| "eval_samples_per_second": 32.137, | |
| "eval_steps_per_second": 0.581, | |
| "step": 86 | |
| }, | |
| { | |
| "epoch": 3.515151515151515, | |
| "grad_norm": 1.4090356826782227, | |
| "learning_rate": 1.416666666666667e-05, | |
| "loss": 1.7796, | |
| "step": 87 | |
| }, | |
| { | |
| "epoch": 3.515151515151515, | |
| "eval_loss": 1.7542084455490112, | |
| "eval_runtime": 5.1712, | |
| "eval_samples_per_second": 32.101, | |
| "eval_steps_per_second": 0.58, | |
| "step": 87 | |
| }, | |
| { | |
| "epoch": 3.5555555555555554, | |
| "grad_norm": 1.382804036140442, | |
| "learning_rate": 1.4074074074074075e-05, | |
| "loss": 1.7457, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 3.5555555555555554, | |
| "eval_loss": 1.7219429016113281, | |
| "eval_runtime": 5.165, | |
| "eval_samples_per_second": 32.139, | |
| "eval_steps_per_second": 0.581, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 3.595959595959596, | |
| "grad_norm": 1.4041632413864136, | |
| "learning_rate": 1.3981481481481482e-05, | |
| "loss": 1.7043, | |
| "step": 89 | |
| }, | |
| { | |
| "epoch": 3.595959595959596, | |
| "eval_loss": 1.689993977546692, | |
| "eval_runtime": 5.1401, | |
| "eval_samples_per_second": 32.295, | |
| "eval_steps_per_second": 0.584, | |
| "step": 89 | |
| }, | |
| { | |
| "epoch": 3.6363636363636362, | |
| "grad_norm": 1.3862537145614624, | |
| "learning_rate": 1.388888888888889e-05, | |
| "loss": 1.6742, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 3.6363636363636362, | |
| "eval_loss": 1.659338116645813, | |
| "eval_runtime": 5.1347, | |
| "eval_samples_per_second": 32.329, | |
| "eval_steps_per_second": 0.584, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 3.676767676767677, | |
| "grad_norm": 1.3727890253067017, | |
| "learning_rate": 1.3796296296296297e-05, | |
| "loss": 1.6502, | |
| "step": 91 | |
| }, | |
| { | |
| "epoch": 3.676767676767677, | |
| "eval_loss": 1.628204345703125, | |
| "eval_runtime": 5.1623, | |
| "eval_samples_per_second": 32.156, | |
| "eval_steps_per_second": 0.581, | |
| "step": 91 | |
| }, | |
| { | |
| "epoch": 3.717171717171717, | |
| "grad_norm": 1.400058388710022, | |
| "learning_rate": 1.3703703703703706e-05, | |
| "loss": 1.6396, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 3.717171717171717, | |
| "eval_loss": 1.5992398262023926, | |
| "eval_runtime": 5.1584, | |
| "eval_samples_per_second": 32.181, | |
| "eval_steps_per_second": 0.582, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 3.757575757575758, | |
| "grad_norm": 1.4236724376678467, | |
| "learning_rate": 1.3611111111111113e-05, | |
| "loss": 1.6123, | |
| "step": 93 | |
| }, | |
| { | |
| "epoch": 3.757575757575758, | |
| "eval_loss": 1.5681532621383667, | |
| "eval_runtime": 5.157, | |
| "eval_samples_per_second": 32.189, | |
| "eval_steps_per_second": 0.582, | |
| "step": 93 | |
| }, | |
| { | |
| "epoch": 3.797979797979798, | |
| "grad_norm": 1.4351081848144531, | |
| "learning_rate": 1.351851851851852e-05, | |
| "loss": 1.5512, | |
| "step": 94 | |
| }, | |
| { | |
| "epoch": 3.797979797979798, | |
| "eval_loss": 1.5355143547058105, | |
| "eval_runtime": 5.1597, | |
| "eval_samples_per_second": 32.172, | |
| "eval_steps_per_second": 0.581, | |
| "step": 94 | |
| }, | |
| { | |
| "epoch": 3.8383838383838382, | |
| "grad_norm": 1.4533002376556396, | |
| "learning_rate": 1.3425925925925926e-05, | |
| "loss": 1.5697, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 3.8383838383838382, | |
| "eval_loss": 1.506730318069458, | |
| "eval_runtime": 5.1659, | |
| "eval_samples_per_second": 32.134, | |
| "eval_steps_per_second": 0.581, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 3.878787878787879, | |
| "grad_norm": 1.4752202033996582, | |
| "learning_rate": 1.3333333333333333e-05, | |
| "loss": 1.495, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 3.878787878787879, | |
| "eval_loss": 1.4759498834609985, | |
| "eval_runtime": 5.1618, | |
| "eval_samples_per_second": 32.159, | |
| "eval_steps_per_second": 0.581, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 3.919191919191919, | |
| "grad_norm": 1.4492502212524414, | |
| "learning_rate": 1.3240740740740742e-05, | |
| "loss": 1.4681, | |
| "step": 97 | |
| }, | |
| { | |
| "epoch": 3.919191919191919, | |
| "eval_loss": 1.4438410997390747, | |
| "eval_runtime": 5.1618, | |
| "eval_samples_per_second": 32.159, | |
| "eval_steps_per_second": 0.581, | |
| "step": 97 | |
| }, | |
| { | |
| "epoch": 3.9595959595959593, | |
| "grad_norm": 1.4566094875335693, | |
| "learning_rate": 1.314814814814815e-05, | |
| "loss": 1.4542, | |
| "step": 98 | |
| }, | |
| { | |
| "epoch": 3.9595959595959593, | |
| "eval_loss": 1.4141173362731934, | |
| "eval_runtime": 5.1691, | |
| "eval_samples_per_second": 32.114, | |
| "eval_steps_per_second": 0.58, | |
| "step": 98 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 1.47097647190094, | |
| "learning_rate": 1.3055555555555557e-05, | |
| "loss": 1.4428, | |
| "step": 99 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_loss": 1.381595492362976, | |
| "eval_runtime": 5.1554, | |
| "eval_samples_per_second": 32.199, | |
| "eval_steps_per_second": 0.582, | |
| "step": 99 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 240, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 10, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 2.552555352489984e+16, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |