{ "best_metric": 0.7223198594024605, "best_model_checkpoint": "tiny-bert-sst2-distilled/run-24/checkpoint-428", "epoch": 2.0, "eval_steps": 500, "global_step": 428, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": 4.061065673828125, "learning_rate": 0.0005772102319780231, "loss": 0.5743, "step": 214 }, { "epoch": 1.0, "eval_accuracy": 0.7012302284710018, "eval_f1": 0.3342036553524804, "eval_loss": 0.548787534236908, "eval_mcc": 0.24244041680325173, "eval_precision": 0.649746192893401, "eval_recall": 0.22495606326889278, "eval_runtime": 3.1573, "eval_samples_per_second": 540.652, "eval_steps_per_second": 17.103, "step": 214 }, { "epoch": 2.0, "grad_norm": 2.865691900253296, "learning_rate": 0.0005432566889204924, "loss": 0.5363, "step": 428 }, { "epoch": 2.0, "eval_accuracy": 0.7223198594024605, "eval_f1": 0.5380116959064327, "eval_loss": 0.5190436244010925, "eval_mcc": 0.3470929601359411, "eval_precision": 0.6039387308533917, "eval_recall": 0.4850615114235501, "eval_runtime": 3.2428, "eval_samples_per_second": 526.395, "eval_steps_per_second": 16.652, "step": 428 } ], "logging_steps": 500, "max_steps": 3852, "num_input_tokens_seen": 0, "num_train_epochs": 18, "save_steps": 500, "total_flos": 1049551328880.0, "train_batch_size": 32, "trial_name": null, "trial_params": { "alpha": 0.9335511903353643, "learning_rate": 0.0006111637750355539, "num_train_epochs": 18, "temperature": 13 } }