| { | |
| "best_global_step": 34, | |
| "best_metric": 0.616877555847168, | |
| "best_model_checkpoint": "bert_base_rand_20_v2_cola/checkpoint-34", | |
| "epoch": 6.0, | |
| "eval_steps": 500, | |
| "global_step": 204, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 0.8142052292823792, | |
| "learning_rate": 4.9e-05, | |
| "loss": 0.6147, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.6912751793861389, | |
| "eval_loss": 0.616877555847168, | |
| "eval_matthews_correlation": 0.0, | |
| "eval_runtime": 0.6688, | |
| "eval_samples_per_second": 1559.469, | |
| "eval_steps_per_second": 7.476, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 1.5374573469161987, | |
| "learning_rate": 4.8e-05, | |
| "loss": 0.5912, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.6855225563049316, | |
| "eval_loss": 0.6168986558914185, | |
| "eval_matthews_correlation": 0.03024806178688017, | |
| "eval_runtime": 0.6804, | |
| "eval_samples_per_second": 1532.876, | |
| "eval_steps_per_second": 7.348, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 2.6451101303100586, | |
| "learning_rate": 4.7e-05, | |
| "loss": 0.5445, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.6615532040596008, | |
| "eval_loss": 0.6372238993644714, | |
| "eval_matthews_correlation": 0.0964637619956757, | |
| "eval_runtime": 0.6752, | |
| "eval_samples_per_second": 1544.822, | |
| "eval_steps_per_second": 7.406, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 4.400547027587891, | |
| "learning_rate": 4.600000000000001e-05, | |
| "loss": 0.4913, | |
| "step": 136 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.6577181220054626, | |
| "eval_loss": 0.7028094530105591, | |
| "eval_matthews_correlation": 0.07455604209059638, | |
| "eval_runtime": 0.6947, | |
| "eval_samples_per_second": 1501.305, | |
| "eval_steps_per_second": 7.197, | |
| "step": 136 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 1.9376835823059082, | |
| "learning_rate": 4.5e-05, | |
| "loss": 0.434, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.6452540755271912, | |
| "eval_loss": 0.7017385363578796, | |
| "eval_matthews_correlation": 0.09524312033216221, | |
| "eval_runtime": 0.7001, | |
| "eval_samples_per_second": 1489.78, | |
| "eval_steps_per_second": 7.142, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 3.3664913177490234, | |
| "learning_rate": 4.4000000000000006e-05, | |
| "loss": 0.3888, | |
| "step": 204 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.6337488293647766, | |
| "eval_loss": 0.7899420857429504, | |
| "eval_matthews_correlation": 0.0734252631472095, | |
| "eval_runtime": 0.7016, | |
| "eval_samples_per_second": 1486.537, | |
| "eval_steps_per_second": 7.126, | |
| "step": 204 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "step": 204, | |
| "total_flos": 6749587903150080.0, | |
| "train_loss": 0.5107499384412578, | |
| "train_runtime": 100.1419, | |
| "train_samples_per_second": 4269.443, | |
| "train_steps_per_second": 16.976 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 1700, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 50, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "EarlyStoppingCallback": { | |
| "args": { | |
| "early_stopping_patience": 5, | |
| "early_stopping_threshold": 0.0 | |
| }, | |
| "attributes": { | |
| "early_stopping_patience_counter": 5 | |
| } | |
| }, | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 6749587903150080.0, | |
| "train_batch_size": 256, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |