| { | |
| "best_metric": 0.948073701842546, | |
| "best_model_checkpoint": "/tmp/classification_xlnet/checkpoint-6402", | |
| "epoch": 40.0, | |
| "eval_steps": 500, | |
| "global_step": 7760, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_f1": 0.9461194863204914, | |
| "eval_loss": 0.17429937422275543, | |
| "eval_runtime": 3.3479, | |
| "eval_samples_per_second": 1069.914, | |
| "eval_steps_per_second": 8.363, | |
| "step": 194 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_f1": 0.9463986599664992, | |
| "eval_loss": 0.18371470272541046, | |
| "eval_runtime": 3.3297, | |
| "eval_samples_per_second": 1075.773, | |
| "eval_steps_per_second": 8.409, | |
| "step": 388 | |
| }, | |
| { | |
| "epoch": 2.5773195876288657, | |
| "grad_norm": 2.8030216693878174, | |
| "learning_rate": 2.806701030927835e-05, | |
| "loss": 0.1681, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_f1": 0.9444444444444444, | |
| "eval_loss": 0.1891961693763733, | |
| "eval_runtime": 3.3441, | |
| "eval_samples_per_second": 1071.144, | |
| "eval_steps_per_second": 8.373, | |
| "step": 582 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_f1": 0.9450027917364601, | |
| "eval_loss": 0.22569966316223145, | |
| "eval_runtime": 3.3534, | |
| "eval_samples_per_second": 1068.173, | |
| "eval_steps_per_second": 8.35, | |
| "step": 776 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_f1": 0.9422110552763819, | |
| "eval_loss": 0.26769694685935974, | |
| "eval_runtime": 3.3297, | |
| "eval_samples_per_second": 1075.778, | |
| "eval_steps_per_second": 8.409, | |
| "step": 970 | |
| }, | |
| { | |
| "epoch": 5.154639175257732, | |
| "grad_norm": 0.4933047294616699, | |
| "learning_rate": 2.61340206185567e-05, | |
| "loss": 0.0663, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_f1": 0.9369067560022334, | |
| "eval_loss": 0.291700154542923, | |
| "eval_runtime": 3.3477, | |
| "eval_samples_per_second": 1069.976, | |
| "eval_steps_per_second": 8.364, | |
| "step": 1164 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_f1": 0.9391401451702959, | |
| "eval_loss": 0.3442403972148895, | |
| "eval_runtime": 3.3601, | |
| "eval_samples_per_second": 1066.048, | |
| "eval_steps_per_second": 8.333, | |
| "step": 1358 | |
| }, | |
| { | |
| "epoch": 7.731958762886598, | |
| "grad_norm": 0.666480302810669, | |
| "learning_rate": 2.4201030927835052e-05, | |
| "loss": 0.0377, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_f1": 0.9416527079843663, | |
| "eval_loss": 0.33648690581321716, | |
| "eval_runtime": 3.3304, | |
| "eval_samples_per_second": 1075.535, | |
| "eval_steps_per_second": 8.407, | |
| "step": 1552 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_f1": 0.9410943606923506, | |
| "eval_loss": 0.33006414771080017, | |
| "eval_runtime": 3.3696, | |
| "eval_samples_per_second": 1063.042, | |
| "eval_steps_per_second": 8.31, | |
| "step": 1746 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_f1": 0.9427694025683976, | |
| "eval_loss": 0.34630170464515686, | |
| "eval_runtime": 3.3697, | |
| "eval_samples_per_second": 1063.008, | |
| "eval_steps_per_second": 8.309, | |
| "step": 1940 | |
| }, | |
| { | |
| "epoch": 10.309278350515465, | |
| "grad_norm": 0.21189871430397034, | |
| "learning_rate": 2.2268041237113402e-05, | |
| "loss": 0.0259, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_f1": 0.9385817978782803, | |
| "eval_loss": 0.37461963295936584, | |
| "eval_runtime": 3.3721, | |
| "eval_samples_per_second": 1062.24, | |
| "eval_steps_per_second": 8.303, | |
| "step": 2134 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_f1": 0.943606923506421, | |
| "eval_loss": 0.40551692247390747, | |
| "eval_runtime": 3.3652, | |
| "eval_samples_per_second": 1064.414, | |
| "eval_steps_per_second": 8.32, | |
| "step": 2328 | |
| }, | |
| { | |
| "epoch": 12.88659793814433, | |
| "grad_norm": 2.5254008769989014, | |
| "learning_rate": 2.0335051546391752e-05, | |
| "loss": 0.0173, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_f1": 0.937465103294249, | |
| "eval_loss": 0.4070034921169281, | |
| "eval_runtime": 3.3609, | |
| "eval_samples_per_second": 1065.787, | |
| "eval_steps_per_second": 8.331, | |
| "step": 2522 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_f1": 0.941931881630374, | |
| "eval_loss": 0.4143279492855072, | |
| "eval_runtime": 3.3533, | |
| "eval_samples_per_second": 1068.201, | |
| "eval_steps_per_second": 8.35, | |
| "step": 2716 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_f1": 0.9410943606923506, | |
| "eval_loss": 0.4321683645248413, | |
| "eval_runtime": 3.3526, | |
| "eval_samples_per_second": 1068.426, | |
| "eval_steps_per_second": 8.352, | |
| "step": 2910 | |
| }, | |
| { | |
| "epoch": 15.463917525773196, | |
| "grad_norm": 0.1633172333240509, | |
| "learning_rate": 1.8402061855670106e-05, | |
| "loss": 0.014, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_f1": 0.943606923506421, | |
| "eval_loss": 0.41818127036094666, | |
| "eval_runtime": 3.3432, | |
| "eval_samples_per_second": 1071.418, | |
| "eval_steps_per_second": 8.375, | |
| "step": 3104 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "eval_f1": 0.9441652707984366, | |
| "eval_loss": 0.4001573324203491, | |
| "eval_runtime": 3.3273, | |
| "eval_samples_per_second": 1076.555, | |
| "eval_steps_per_second": 8.415, | |
| "step": 3298 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "eval_f1": 0.9452819653824679, | |
| "eval_loss": 0.41942211985588074, | |
| "eval_runtime": 3.3291, | |
| "eval_samples_per_second": 1075.958, | |
| "eval_steps_per_second": 8.411, | |
| "step": 3492 | |
| }, | |
| { | |
| "epoch": 18.04123711340206, | |
| "grad_norm": 0.10323987156152725, | |
| "learning_rate": 1.6469072164948456e-05, | |
| "loss": 0.0131, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "eval_f1": 0.9438860971524288, | |
| "eval_loss": 0.42228585481643677, | |
| "eval_runtime": 3.3201, | |
| "eval_samples_per_second": 1078.896, | |
| "eval_steps_per_second": 8.434, | |
| "step": 3686 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_f1": 0.9441652707984366, | |
| "eval_loss": 0.43575653433799744, | |
| "eval_runtime": 3.3587, | |
| "eval_samples_per_second": 1066.478, | |
| "eval_steps_per_second": 8.337, | |
| "step": 3880 | |
| }, | |
| { | |
| "epoch": 20.61855670103093, | |
| "grad_norm": 0.34020230174064636, | |
| "learning_rate": 1.4536082474226805e-05, | |
| "loss": 0.0107, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 21.0, | |
| "eval_f1": 0.9410943606923506, | |
| "eval_loss": 0.45651453733444214, | |
| "eval_runtime": 3.3444, | |
| "eval_samples_per_second": 1071.038, | |
| "eval_steps_per_second": 8.372, | |
| "step": 4074 | |
| }, | |
| { | |
| "epoch": 22.0, | |
| "eval_f1": 0.9433277498604131, | |
| "eval_loss": 0.4561261534690857, | |
| "eval_runtime": 3.3568, | |
| "eval_samples_per_second": 1067.075, | |
| "eval_steps_per_second": 8.341, | |
| "step": 4268 | |
| }, | |
| { | |
| "epoch": 23.0, | |
| "eval_f1": 0.9452819653824679, | |
| "eval_loss": 0.43663719296455383, | |
| "eval_runtime": 3.3556, | |
| "eval_samples_per_second": 1067.473, | |
| "eval_steps_per_second": 8.344, | |
| "step": 4462 | |
| }, | |
| { | |
| "epoch": 23.195876288659793, | |
| "grad_norm": 0.08574999868869781, | |
| "learning_rate": 1.2603092783505155e-05, | |
| "loss": 0.0094, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "eval_f1": 0.9424902289223898, | |
| "eval_loss": 0.4435234069824219, | |
| "eval_runtime": 3.3647, | |
| "eval_samples_per_second": 1064.573, | |
| "eval_steps_per_second": 8.322, | |
| "step": 4656 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "eval_f1": 0.9461194863204914, | |
| "eval_loss": 0.45271530747413635, | |
| "eval_runtime": 3.3304, | |
| "eval_samples_per_second": 1075.534, | |
| "eval_steps_per_second": 8.407, | |
| "step": 4850 | |
| }, | |
| { | |
| "epoch": 25.77319587628866, | |
| "grad_norm": 0.028440319001674652, | |
| "learning_rate": 1.0670103092783506e-05, | |
| "loss": 0.0091, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 26.0, | |
| "eval_f1": 0.9438860971524288, | |
| "eval_loss": 0.47594669461250305, | |
| "eval_runtime": 3.3703, | |
| "eval_samples_per_second": 1062.816, | |
| "eval_steps_per_second": 8.308, | |
| "step": 5044 | |
| }, | |
| { | |
| "epoch": 27.0, | |
| "eval_f1": 0.9463986599664992, | |
| "eval_loss": 0.45179277658462524, | |
| "eval_runtime": 3.3499, | |
| "eval_samples_per_second": 1069.276, | |
| "eval_steps_per_second": 8.358, | |
| "step": 5238 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "eval_f1": 0.9461194863204914, | |
| "eval_loss": 0.4447253346443176, | |
| "eval_runtime": 3.3396, | |
| "eval_samples_per_second": 1072.582, | |
| "eval_steps_per_second": 8.384, | |
| "step": 5432 | |
| }, | |
| { | |
| "epoch": 28.350515463917525, | |
| "grad_norm": 0.09605555236339569, | |
| "learning_rate": 8.737113402061856e-06, | |
| "loss": 0.0085, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 29.0, | |
| "eval_f1": 0.9455611390284757, | |
| "eval_loss": 0.4533209502696991, | |
| "eval_runtime": 3.3431, | |
| "eval_samples_per_second": 1071.445, | |
| "eval_steps_per_second": 8.375, | |
| "step": 5626 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "eval_f1": 0.9458403126744835, | |
| "eval_loss": 0.4549112319946289, | |
| "eval_runtime": 3.339, | |
| "eval_samples_per_second": 1072.783, | |
| "eval_steps_per_second": 8.386, | |
| "step": 5820 | |
| }, | |
| { | |
| "epoch": 30.927835051546392, | |
| "grad_norm": 0.589557409286499, | |
| "learning_rate": 6.8041237113402065e-06, | |
| "loss": 0.0071, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 31.0, | |
| "eval_f1": 0.9469570072585148, | |
| "eval_loss": 0.45267006754875183, | |
| "eval_runtime": 3.3812, | |
| "eval_samples_per_second": 1059.377, | |
| "eval_steps_per_second": 8.281, | |
| "step": 6014 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "eval_f1": 0.9452819653824679, | |
| "eval_loss": 0.4533182382583618, | |
| "eval_runtime": 3.3589, | |
| "eval_samples_per_second": 1066.414, | |
| "eval_steps_per_second": 8.336, | |
| "step": 6208 | |
| }, | |
| { | |
| "epoch": 33.0, | |
| "eval_f1": 0.948073701842546, | |
| "eval_loss": 0.4553990066051483, | |
| "eval_runtime": 3.3534, | |
| "eval_samples_per_second": 1068.168, | |
| "eval_steps_per_second": 8.35, | |
| "step": 6402 | |
| }, | |
| { | |
| "epoch": 33.50515463917526, | |
| "grad_norm": 0.004464476834982634, | |
| "learning_rate": 4.871134020618557e-06, | |
| "loss": 0.0072, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 34.0, | |
| "eval_f1": 0.9447236180904522, | |
| "eval_loss": 0.462903767824173, | |
| "eval_runtime": 3.3763, | |
| "eval_samples_per_second": 1060.91, | |
| "eval_steps_per_second": 8.293, | |
| "step": 6596 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "eval_f1": 0.9450027917364601, | |
| "eval_loss": 0.47262680530548096, | |
| "eval_runtime": 3.3644, | |
| "eval_samples_per_second": 1064.678, | |
| "eval_steps_per_second": 8.322, | |
| "step": 6790 | |
| }, | |
| { | |
| "epoch": 36.0, | |
| "eval_f1": 0.9461194863204914, | |
| "eval_loss": 0.4510941803455353, | |
| "eval_runtime": 3.3674, | |
| "eval_samples_per_second": 1063.734, | |
| "eval_steps_per_second": 8.315, | |
| "step": 6984 | |
| }, | |
| { | |
| "epoch": 36.08247422680412, | |
| "grad_norm": 0.03277302160859108, | |
| "learning_rate": 2.938144329896907e-06, | |
| "loss": 0.0067, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 37.0, | |
| "eval_f1": 0.9447236180904522, | |
| "eval_loss": 0.4571346044540405, | |
| "eval_runtime": 3.3879, | |
| "eval_samples_per_second": 1057.285, | |
| "eval_steps_per_second": 8.265, | |
| "step": 7178 | |
| }, | |
| { | |
| "epoch": 38.0, | |
| "eval_f1": 0.9455611390284757, | |
| "eval_loss": 0.46757060289382935, | |
| "eval_runtime": 3.396, | |
| "eval_samples_per_second": 1054.781, | |
| "eval_steps_per_second": 8.245, | |
| "step": 7372 | |
| }, | |
| { | |
| "epoch": 38.65979381443299, | |
| "grad_norm": 0.03082508221268654, | |
| "learning_rate": 1.0051546391752577e-06, | |
| "loss": 0.0062, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 39.0, | |
| "eval_f1": 0.9461194863204914, | |
| "eval_loss": 0.4639934301376343, | |
| "eval_runtime": 3.38, | |
| "eval_samples_per_second": 1059.749, | |
| "eval_steps_per_second": 8.284, | |
| "step": 7566 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "eval_f1": 0.9463986599664992, | |
| "eval_loss": 0.46385136246681213, | |
| "eval_runtime": 3.3218, | |
| "eval_samples_per_second": 1078.319, | |
| "eval_steps_per_second": 8.429, | |
| "step": 7760 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "step": 7760, | |
| "total_flos": 6.517582470540288e+16, | |
| "train_loss": 0.02645080839235758, | |
| "train_runtime": 2544.3454, | |
| "train_samples_per_second": 389.428, | |
| "train_steps_per_second": 3.05 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 7760, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 40, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 6.517582470540288e+16, | |
| "train_batch_size": 128, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |