{ "best_global_step": 216, "best_metric": 0.8041111111111111, "best_model_checkpoint": "./results/PlanTL-GOB-ES/roberta-base-ca_fold_1/checkpoint-216", "epoch": 9.0, "eval_steps": 500, "global_step": 324, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "eval_accuracy": 0.8055555555555556, "eval_f1": 0.7188034188034188, "eval_loss": 1.0945801734924316, "eval_precision": 0.6489197530864197, "eval_recall": 0.8055555555555556, "eval_runtime": 0.215, "eval_samples_per_second": 334.959, "eval_steps_per_second": 41.87, "step": 36 }, { "epoch": 2.0, "eval_accuracy": 0.8055555555555556, "eval_f1": 0.7188034188034188, "eval_loss": 1.0182355642318726, "eval_precision": 0.6489197530864197, "eval_recall": 0.8055555555555556, "eval_runtime": 0.2151, "eval_samples_per_second": 334.721, "eval_steps_per_second": 41.84, "step": 72 }, { "epoch": 3.0, "eval_accuracy": 0.8333333333333334, "eval_f1": 0.7751322751322751, "eval_loss": 0.9727938771247864, "eval_precision": 0.727328431372549, "eval_recall": 0.8333333333333334, "eval_runtime": 0.2102, "eval_samples_per_second": 342.517, "eval_steps_per_second": 42.815, "step": 108 }, { "epoch": 4.0, "eval_accuracy": 0.8333333333333334, "eval_f1": 0.7937361324458098, "eval_loss": 1.00287926197052, "eval_precision": 0.7703072390572391, "eval_recall": 0.8333333333333334, "eval_runtime": 0.2118, "eval_samples_per_second": 339.898, "eval_steps_per_second": 42.487, "step": 144 }, { "epoch": 5.0, "eval_accuracy": 0.8194444444444444, "eval_f1": 0.7840406405980177, "eval_loss": 1.0656781196594238, "eval_precision": 0.76171875, "eval_recall": 0.8194444444444444, "eval_runtime": 0.213, "eval_samples_per_second": 337.978, "eval_steps_per_second": 42.247, "step": 180 }, { "epoch": 6.0, "eval_accuracy": 0.8472222222222222, "eval_f1": 0.8041111111111111, "eval_loss": 1.0739294290542603, "eval_precision": 0.806851160862355, "eval_recall": 0.8472222222222222, "eval_runtime": 0.2141, "eval_samples_per_second": 336.243, "eval_steps_per_second": 42.03, "step": 216 }, { "epoch": 7.0, "eval_accuracy": 0.8472222222222222, "eval_f1": 0.8041111111111111, "eval_loss": 1.0710959434509277, "eval_precision": 0.806851160862355, "eval_recall": 0.8472222222222222, "eval_runtime": 0.2124, "eval_samples_per_second": 339.012, "eval_steps_per_second": 42.376, "step": 252 }, { "epoch": 8.0, "eval_accuracy": 0.8472222222222222, "eval_f1": 0.8041111111111111, "eval_loss": 1.088027000427246, "eval_precision": 0.806851160862355, "eval_recall": 0.8472222222222222, "eval_runtime": 0.2114, "eval_samples_per_second": 340.652, "eval_steps_per_second": 42.582, "step": 288 }, { "epoch": 9.0, "eval_accuracy": 0.8472222222222222, "eval_f1": 0.8041111111111111, "eval_loss": 1.0886331796646118, "eval_precision": 0.806851160862355, "eval_recall": 0.8472222222222222, "eval_runtime": 0.2146, "eval_samples_per_second": 335.545, "eval_steps_per_second": 41.943, "step": 324 } ], "logging_steps": 500, "max_steps": 720, "num_input_tokens_seen": 0, "num_train_epochs": 20, "save_steps": 500, "stateful_callbacks": { "EarlyStoppingCallback": { "args": { "early_stopping_patience": 3, "early_stopping_threshold": 0.0 }, "attributes": { "early_stopping_patience_counter": 3 } }, "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": true }, "attributes": {} } }, "total_flos": 54236147045652.0, "train_batch_size": 8, "trial_name": null, "trial_params": null }