{ "best_global_step": 224, "best_metric": 0.9227272727272727, "best_model_checkpoint": "font-identifier/checkpoint-224", "epoch": 18.0, "eval_steps": 500, "global_step": 252, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.7272727272727273, "grad_norm": 9.430075645446777, "learning_rate": 6.428571428571429e-06, "loss": 3.3213, "step": 10 }, { "epoch": 1.0, "eval_accuracy": 0.06818181818181818, "eval_loss": 3.2453081607818604, "eval_runtime": 2.4333, "eval_samples_per_second": 90.411, "eval_steps_per_second": 5.753, "step": 14 }, { "epoch": 1.4363636363636363, "grad_norm": 9.360711097717285, "learning_rate": 1.357142857142857e-05, "loss": 3.1711, "step": 20 }, { "epoch": 2.0, "eval_accuracy": 0.12727272727272726, "eval_loss": 3.0051403045654297, "eval_runtime": 2.0612, "eval_samples_per_second": 106.735, "eval_steps_per_second": 6.792, "step": 28 }, { "epoch": 2.1454545454545455, "grad_norm": 8.500679016113281, "learning_rate": 2.0714285714285718e-05, "loss": 2.983, "step": 30 }, { "epoch": 2.8727272727272726, "grad_norm": 9.82868766784668, "learning_rate": 2.785714285714286e-05, "loss": 2.8729, "step": 40 }, { "epoch": 3.0, "eval_accuracy": 0.20909090909090908, "eval_loss": 2.6284613609313965, "eval_runtime": 2.0503, "eval_samples_per_second": 107.302, "eval_steps_per_second": 6.828, "step": 42 }, { "epoch": 3.581818181818182, "grad_norm": 7.700014114379883, "learning_rate": 3.5e-05, "loss": 2.562, "step": 50 }, { "epoch": 4.0, "eval_accuracy": 0.37727272727272726, "eval_loss": 2.160020112991333, "eval_runtime": 2.3625, "eval_samples_per_second": 93.121, "eval_steps_per_second": 5.926, "step": 56 }, { "epoch": 4.290909090909091, "grad_norm": 7.527115821838379, "learning_rate": 4.214285714285714e-05, "loss": 2.2406, "step": 60 }, { "epoch": 5.0, "grad_norm": 5.579476833343506, "learning_rate": 4.928571428571429e-05, "loss": 1.8675, "step": 70 }, { "epoch": 5.0, "eval_accuracy": 0.5363636363636364, "eval_loss": 1.639161229133606, "eval_runtime": 2.0879, "eval_samples_per_second": 105.372, "eval_steps_per_second": 6.705, "step": 70 }, { "epoch": 5.7272727272727275, "grad_norm": 6.313197135925293, "learning_rate": 4.928571428571429e-05, "loss": 1.6359, "step": 80 }, { "epoch": 6.0, "eval_accuracy": 0.6681818181818182, "eval_loss": 1.2266921997070312, "eval_runtime": 2.1098, "eval_samples_per_second": 104.274, "eval_steps_per_second": 6.636, "step": 84 }, { "epoch": 6.4363636363636365, "grad_norm": 5.8209004402160645, "learning_rate": 4.84920634920635e-05, "loss": 1.3499, "step": 90 }, { "epoch": 7.0, "eval_accuracy": 0.6818181818181818, "eval_loss": 1.0587564706802368, "eval_runtime": 2.9116, "eval_samples_per_second": 75.56, "eval_steps_per_second": 4.808, "step": 98 }, { "epoch": 7.1454545454545455, "grad_norm": 6.231616973876953, "learning_rate": 4.7698412698412706e-05, "loss": 1.2501, "step": 100 }, { "epoch": 7.872727272727273, "grad_norm": 5.9844584465026855, "learning_rate": 4.690476190476191e-05, "loss": 1.076, "step": 110 }, { "epoch": 8.0, "eval_accuracy": 0.6909090909090909, "eval_loss": 0.8790816068649292, "eval_runtime": 4.5841, "eval_samples_per_second": 47.992, "eval_steps_per_second": 3.054, "step": 112 }, { "epoch": 8.581818181818182, "grad_norm": 5.29907751083374, "learning_rate": 4.6111111111111115e-05, "loss": 0.9811, "step": 120 }, { "epoch": 9.0, "eval_accuracy": 0.7545454545454545, "eval_loss": 0.7573429346084595, "eval_runtime": 4.4185, "eval_samples_per_second": 49.79, "eval_steps_per_second": 3.168, "step": 126 }, { "epoch": 9.290909090909091, "grad_norm": 5.92799711227417, "learning_rate": 4.531746031746032e-05, "loss": 0.8655, "step": 130 }, { "epoch": 10.0, "grad_norm": 3.577127695083618, "learning_rate": 4.4523809523809525e-05, "loss": 0.7309, "step": 140 }, { "epoch": 10.0, "eval_accuracy": 0.7818181818181819, "eval_loss": 0.6194924712181091, "eval_runtime": 4.0981, "eval_samples_per_second": 53.683, "eval_steps_per_second": 3.416, "step": 140 }, { "epoch": 10.727272727272727, "grad_norm": 5.252236843109131, "learning_rate": 4.373015873015873e-05, "loss": 0.7776, "step": 150 }, { "epoch": 11.0, "eval_accuracy": 0.8, "eval_loss": 0.5426079034805298, "eval_runtime": 4.0014, "eval_samples_per_second": 54.981, "eval_steps_per_second": 3.499, "step": 154 }, { "epoch": 11.436363636363636, "grad_norm": 4.398848533630371, "learning_rate": 4.2936507936507935e-05, "loss": 0.7365, "step": 160 }, { "epoch": 12.0, "eval_accuracy": 0.8772727272727273, "eval_loss": 0.40285420417785645, "eval_runtime": 4.3238, "eval_samples_per_second": 50.882, "eval_steps_per_second": 3.238, "step": 168 }, { "epoch": 12.145454545454545, "grad_norm": 5.8070549964904785, "learning_rate": 4.214285714285714e-05, "loss": 0.6116, "step": 170 }, { "epoch": 12.872727272727273, "grad_norm": 6.383784770965576, "learning_rate": 4.134920634920635e-05, "loss": 0.5767, "step": 180 }, { "epoch": 13.0, "eval_accuracy": 0.8363636363636363, "eval_loss": 0.4417766332626343, "eval_runtime": 4.8355, "eval_samples_per_second": 45.497, "eval_steps_per_second": 2.895, "step": 182 }, { "epoch": 13.581818181818182, "grad_norm": 4.959994316101074, "learning_rate": 4.055555555555556e-05, "loss": 0.5838, "step": 190 }, { "epoch": 14.0, "eval_accuracy": 0.8818181818181818, "eval_loss": 0.35380780696868896, "eval_runtime": 3.8077, "eval_samples_per_second": 57.777, "eval_steps_per_second": 3.677, "step": 196 }, { "epoch": 14.290909090909091, "grad_norm": 5.2857770919799805, "learning_rate": 3.976190476190476e-05, "loss": 0.4826, "step": 200 }, { "epoch": 15.0, "grad_norm": 3.971461296081543, "learning_rate": 3.896825396825397e-05, "loss": 0.4491, "step": 210 }, { "epoch": 15.0, "eval_accuracy": 0.8636363636363636, "eval_loss": 0.3833666145801544, "eval_runtime": 4.0015, "eval_samples_per_second": 54.979, "eval_steps_per_second": 3.499, "step": 210 }, { "epoch": 15.727272727272727, "grad_norm": 4.3175764083862305, "learning_rate": 3.817460317460317e-05, "loss": 0.5056, "step": 220 }, { "epoch": 16.0, "eval_accuracy": 0.9227272727272727, "eval_loss": 0.27014854550361633, "eval_runtime": 3.7487, "eval_samples_per_second": 58.687, "eval_steps_per_second": 3.735, "step": 224 }, { "epoch": 16.436363636363637, "grad_norm": 4.672767162322998, "learning_rate": 3.7380952380952386e-05, "loss": 0.4364, "step": 230 }, { "epoch": 17.0, "eval_accuracy": 0.8818181818181818, "eval_loss": 0.3142429292201996, "eval_runtime": 3.9413, "eval_samples_per_second": 55.819, "eval_steps_per_second": 3.552, "step": 238 }, { "epoch": 17.145454545454545, "grad_norm": 5.194856643676758, "learning_rate": 3.658730158730159e-05, "loss": 0.4631, "step": 240 }, { "epoch": 17.87272727272727, "grad_norm": 5.319342136383057, "learning_rate": 3.5793650793650795e-05, "loss": 0.364, "step": 250 }, { "epoch": 18.0, "eval_accuracy": 0.9136363636363637, "eval_loss": 0.2616939842700958, "eval_runtime": 3.7398, "eval_samples_per_second": 58.827, "eval_steps_per_second": 3.744, "step": 252 } ], "logging_steps": 10, "max_steps": 700, "num_input_tokens_seen": 0, "num_train_epochs": 50, "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": 1.6005466452197376e+17, "train_batch_size": 16, "trial_name": null, "trial_params": null }