{ "best_metric": 0.8933695230709577, "best_model_checkpoint": "tiny-bert-sst2-distilled/run-36/checkpoint-1290", "epoch": 2.0, "eval_steps": 500, "global_step": 1290, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": 1.4688760042190552, "learning_rate": 8.897592274282152e-05, "loss": 0.3238, "step": 645 }, { "epoch": 1.0, "eval_accuracy": 0.8916246607212097, "eval_f1": 0.0411663807890223, "eval_loss": 0.30380308628082275, "eval_mcc": 0.12436574060202066, "eval_precision": 0.8571428571428571, "eval_recall": 0.0210896309314587, "eval_runtime": 9.9325, "eval_samples_per_second": 519.307, "eval_steps_per_second": 16.31, "step": 645 }, { "epoch": 2.0, "grad_norm": 0.905078649520874, "learning_rate": 7.11807381942572e-05, "loss": 0.2989, "step": 1290 }, { "epoch": 2.0, "eval_accuracy": 0.8933695230709577, "eval_f1": 0.08637873754152824, "eval_loss": 0.3039029538631439, "eval_mcc": 0.1735509482156532, "eval_precision": 0.7878787878787878, "eval_recall": 0.04569420035149385, "eval_runtime": 9.9133, "eval_samples_per_second": 520.31, "eval_steps_per_second": 16.342, "step": 1290 } ], "logging_steps": 500, "max_steps": 3870, "num_input_tokens_seen": 0, "num_train_epochs": 6, "save_steps": 500, "total_flos": 3173885065200.0, "train_batch_size": 32, "trial_name": null, "trial_params": { "alpha": 0.9385779244635338, "learning_rate": 0.00010677110729138582, "num_train_epochs": 6, "temperature": 21 } }