{ "best_metric": 0.8140900195694716, "best_model_checkpoint": "tiny-bert-sst2-distilled/run-27/checkpoint-576", "epoch": 3.0, "eval_steps": 500, "global_step": 576, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": 5.356992244720459, "learning_rate": 8.28536608591822e-05, "loss": 0.547, "step": 192 }, { "epoch": 1.0, "eval_accuracy": 0.799412915851272, "eval_f1": 0.820647419072616, "eval_loss": 0.4454892873764038, "eval_mcc": 0.6163545180480211, "eval_precision": 0.7420886075949367, "eval_recall": 0.9178082191780822, "eval_runtime": 66.9011, "eval_samples_per_second": 15.276, "eval_steps_per_second": 0.478, "step": 192 }, { "epoch": 2.0, "grad_norm": 5.9460296630859375, "learning_rate": 4.14268304295911e-05, "loss": 0.4534, "step": 384 }, { "epoch": 2.0, "eval_accuracy": 0.8111545988258317, "eval_f1": 0.8237442922374429, "eval_loss": 0.42414745688438416, "eval_mcc": 0.6287581698708938, "eval_precision": 0.7722602739726028, "eval_recall": 0.8825831702544031, "eval_runtime": 66.3484, "eval_samples_per_second": 15.404, "eval_steps_per_second": 0.482, "step": 384 }, { "epoch": 3.0, "grad_norm": 4.355434894561768, "learning_rate": 0.0, "loss": 0.4285, "step": 576 }, { "epoch": 3.0, "eval_accuracy": 0.8140900195694716, "eval_f1": 0.8297491039426522, "eval_loss": 0.4249483346939087, "eval_mcc": 0.6390860201862151, "eval_precision": 0.7652892561983471, "eval_recall": 0.9060665362035225, "eval_runtime": 66.8424, "eval_samples_per_second": 15.29, "eval_steps_per_second": 0.479, "step": 576 } ], "logging_steps": 500, "max_steps": 576, "num_input_tokens_seen": 0, "num_train_epochs": 3, "save_steps": 500, "total_flos": 707085591840.0, "train_batch_size": 16, "trial_name": null, "trial_params": { "alpha": 0.8507816113188046, "learning_rate": 0.0001242804912887733, "num_train_epochs": 3, "per_device_train_batch_size": 16, "temperature": 24 } }