{ "best_metric": 3.6932897567749023, "best_model_checkpoint": "models/GPT2_bigram_function_67/checkpoint-64200", "epoch": 10.0, "global_step": 64200, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.16, "learning_rate": 1e-05, "loss": 7.7746, "step": 1000 }, { "epoch": 0.31, "learning_rate": 2e-05, "loss": 6.0981, "step": 2000 }, { "epoch": 0.47, "learning_rate": 3e-05, "loss": 5.6302, "step": 3000 }, { "epoch": 0.62, "learning_rate": 4e-05, "loss": 5.3269, "step": 4000 }, { "epoch": 0.78, "learning_rate": 5e-05, "loss": 5.0912, "step": 5000 }, { "epoch": 0.93, "learning_rate": 6e-05, "loss": 4.8987, "step": 6000 }, { "epoch": 1.0, "eval_accuracy": 0.25722452632352255, "eval_loss": 4.68282413482666, "eval_runtime": 1.9503, "eval_samples_per_second": 604.536, "eval_steps_per_second": 5.128, "step": 6420 }, { "epoch": 1.09, "learning_rate": 7e-05, "loss": 4.7305, "step": 7000 }, { "epoch": 1.25, "learning_rate": 8e-05, "loss": 4.6029, "step": 8000 }, { "epoch": 1.4, "learning_rate": 9e-05, "loss": 4.5041, "step": 9000 }, { "epoch": 1.56, "learning_rate": 0.0001, "loss": 4.4242, "step": 10000 }, { "epoch": 1.71, "learning_rate": 9.81568265682657e-05, "loss": 4.3514, "step": 11000 }, { "epoch": 1.87, "learning_rate": 9.631180811808118e-05, "loss": 4.2909, "step": 12000 }, { "epoch": 2.0, "eval_accuracy": 0.2995532047043738, "eval_loss": 4.165227890014648, "eval_runtime": 1.9589, "eval_samples_per_second": 601.855, "eval_steps_per_second": 5.105, "step": 12840 }, { "epoch": 2.02, "learning_rate": 9.446863468634687e-05, "loss": 4.2347, "step": 13000 }, { "epoch": 2.18, "learning_rate": 9.262361623616237e-05, "loss": 4.1618, "step": 14000 }, { "epoch": 2.34, "learning_rate": 9.078044280442805e-05, "loss": 4.1326, "step": 15000 }, { "epoch": 2.49, "learning_rate": 8.893542435424355e-05, "loss": 4.1068, "step": 16000 }, { "epoch": 2.65, "learning_rate": 8.709225092250924e-05, "loss": 4.0814, "step": 17000 }, { "epoch": 2.8, "learning_rate": 8.524723247232472e-05, "loss": 4.0586, "step": 18000 }, { "epoch": 2.96, "learning_rate": 8.340405904059041e-05, "loss": 4.0369, "step": 19000 }, { "epoch": 3.0, "eval_accuracy": 0.3198292961471419, "eval_loss": 3.976323127746582, "eval_runtime": 1.9592, "eval_samples_per_second": 601.767, "eval_steps_per_second": 5.104, "step": 19260 }, { "epoch": 3.12, "learning_rate": 8.155904059040591e-05, "loss": 3.9736, "step": 20000 }, { "epoch": 3.27, "learning_rate": 7.971586715867159e-05, "loss": 3.9515, "step": 21000 }, { "epoch": 3.43, "learning_rate": 7.787084870848709e-05, "loss": 3.9425, "step": 22000 }, { "epoch": 3.58, "learning_rate": 7.602767527675278e-05, "loss": 3.9328, "step": 23000 }, { "epoch": 3.74, "learning_rate": 7.418265682656826e-05, "loss": 3.9232, "step": 24000 }, { "epoch": 3.89, "learning_rate": 7.233948339483395e-05, "loss": 3.9112, "step": 25000 }, { "epoch": 4.0, "eval_accuracy": 0.33227144316884055, "eval_loss": 3.8776960372924805, "eval_runtime": 1.9587, "eval_samples_per_second": 601.943, "eval_steps_per_second": 5.106, "step": 25680 }, { "epoch": 4.05, "learning_rate": 7.049446494464945e-05, "loss": 3.8778, "step": 26000 }, { "epoch": 4.21, "learning_rate": 6.865129151291513e-05, "loss": 3.8334, "step": 27000 }, { "epoch": 4.36, "learning_rate": 6.680627306273063e-05, "loss": 3.8312, "step": 28000 }, { "epoch": 4.52, "learning_rate": 6.496309963099632e-05, "loss": 3.8288, "step": 29000 }, { "epoch": 4.67, "learning_rate": 6.311808118081182e-05, "loss": 3.8254, "step": 30000 }, { "epoch": 4.83, "learning_rate": 6.12749077490775e-05, "loss": 3.8183, "step": 31000 }, { "epoch": 4.98, "learning_rate": 5.942988929889299e-05, "loss": 3.8154, "step": 32000 }, { "epoch": 5.0, "eval_accuracy": 0.34073985026680825, "eval_loss": 3.8141610622406006, "eval_runtime": 1.9556, "eval_samples_per_second": 602.877, "eval_steps_per_second": 5.113, "step": 32100 }, { "epoch": 5.14, "learning_rate": 5.7584870848708496e-05, "loss": 3.7508, "step": 33000 }, { "epoch": 5.3, "learning_rate": 5.574169741697417e-05, "loss": 3.7485, "step": 34000 }, { "epoch": 5.45, "learning_rate": 5.389667896678967e-05, "loss": 3.7497, "step": 35000 }, { "epoch": 5.61, "learning_rate": 5.205350553505536e-05, "loss": 3.7491, "step": 36000 }, { "epoch": 5.76, "learning_rate": 5.020848708487085e-05, "loss": 3.7468, "step": 37000 }, { "epoch": 5.92, "learning_rate": 4.836531365313653e-05, "loss": 3.7425, "step": 38000 }, { "epoch": 6.0, "eval_accuracy": 0.3456485878196523, "eval_loss": 3.772080659866333, "eval_runtime": 1.9713, "eval_samples_per_second": 598.088, "eval_steps_per_second": 5.073, "step": 38520 }, { "epoch": 6.07, "learning_rate": 4.652029520295203e-05, "loss": 3.7086, "step": 39000 }, { "epoch": 6.23, "learning_rate": 4.4677121771217715e-05, "loss": 3.6799, "step": 40000 }, { "epoch": 6.39, "learning_rate": 4.283210332103321e-05, "loss": 3.6856, "step": 41000 }, { "epoch": 6.54, "learning_rate": 4.098892988929889e-05, "loss": 3.6867, "step": 42000 }, { "epoch": 6.7, "learning_rate": 3.9143911439114395e-05, "loss": 3.6849, "step": 43000 }, { "epoch": 6.85, "learning_rate": 3.7300738007380073e-05, "loss": 3.6848, "step": 44000 }, { "epoch": 7.0, "eval_accuracy": 0.3501632906573701, "eval_loss": 3.739995002746582, "eval_runtime": 1.9567, "eval_samples_per_second": 602.556, "eval_steps_per_second": 5.111, "step": 44940 }, { "epoch": 7.01, "learning_rate": 3.545571955719557e-05, "loss": 3.6786, "step": 45000 }, { "epoch": 7.17, "learning_rate": 3.3612546125461256e-05, "loss": 3.6233, "step": 46000 }, { "epoch": 7.32, "learning_rate": 3.1767527675276754e-05, "loss": 3.6291, "step": 47000 }, { "epoch": 7.48, "learning_rate": 2.9924354243542435e-05, "loss": 3.6318, "step": 48000 }, { "epoch": 7.63, "learning_rate": 2.8079335793357936e-05, "loss": 3.6314, "step": 49000 }, { "epoch": 7.79, "learning_rate": 2.6236162361623618e-05, "loss": 3.6327, "step": 50000 }, { "epoch": 7.94, "learning_rate": 2.4391143911439115e-05, "loss": 3.6311, "step": 51000 }, { "epoch": 8.0, "eval_accuracy": 0.3533756753688232, "eval_loss": 3.716982364654541, "eval_runtime": 1.956, "eval_samples_per_second": 602.749, "eval_steps_per_second": 5.112, "step": 51360 }, { "epoch": 8.1, "learning_rate": 2.2546125461254613e-05, "loss": 3.597, "step": 52000 }, { "epoch": 8.26, "learning_rate": 2.0702952029520294e-05, "loss": 3.5812, "step": 53000 }, { "epoch": 8.41, "learning_rate": 1.8857933579335792e-05, "loss": 3.5837, "step": 54000 }, { "epoch": 8.57, "learning_rate": 1.7014760147601477e-05, "loss": 3.5859, "step": 55000 }, { "epoch": 8.72, "learning_rate": 1.5169741697416975e-05, "loss": 3.5863, "step": 56000 }, { "epoch": 8.88, "learning_rate": 1.3326568265682656e-05, "loss": 3.5851, "step": 57000 }, { "epoch": 9.0, "eval_accuracy": 0.35644781043590923, "eval_loss": 3.7016589641571045, "eval_runtime": 1.9641, "eval_samples_per_second": 600.29, "eval_steps_per_second": 5.092, "step": 57780 }, { "epoch": 9.03, "learning_rate": 1.1481549815498155e-05, "loss": 3.5738, "step": 58000 }, { "epoch": 9.19, "learning_rate": 9.638376383763839e-06, "loss": 3.5446, "step": 59000 }, { "epoch": 9.35, "learning_rate": 7.793357933579336e-06, "loss": 3.545, "step": 60000 }, { "epoch": 9.5, "learning_rate": 5.9501845018450185e-06, "loss": 3.5453, "step": 61000 }, { "epoch": 9.66, "learning_rate": 4.105166051660517e-06, "loss": 3.5478, "step": 62000 }, { "epoch": 9.81, "learning_rate": 2.2601476014760147e-06, "loss": 3.5458, "step": 63000 }, { "epoch": 9.97, "learning_rate": 4.1697416974169745e-07, "loss": 3.5457, "step": 64000 }, { "epoch": 10.0, "eval_accuracy": 0.3575364148183767, "eval_loss": 3.6932897567749023, "eval_runtime": 1.9569, "eval_samples_per_second": 602.483, "eval_steps_per_second": 5.11, "step": 64200 }, { "epoch": 10.0, "step": 64200, "total_flos": 5.367983505408e+17, "train_loss": 4.0210844616280905, "train_runtime": 28109.1932, "train_samples_per_second": 292.346, "train_steps_per_second": 2.284 } ], "max_steps": 64200, "num_train_epochs": 10, "total_flos": 5.367983505408e+17, "trial_name": null, "trial_params": null }