| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 1.0, | |
| "eval_steps": 100, | |
| "global_step": 621, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.1610305958132045, | |
| "grad_norm": 0.049451954662799835, | |
| "learning_rate": 1.7054009819967267e-05, | |
| "loss": 0.0992, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.1610305958132045, | |
| "eval_accuracy": 0.9986595174262735, | |
| "eval_accuracy_label_GD622:NO": 0.9982174688057041, | |
| "eval_accuracy_label_GD622:YES": 1.0, | |
| "eval_f1": 0.9986607261106767, | |
| "eval_loss": 0.006988690234720707, | |
| "eval_precision": 0.9986667243218311, | |
| "eval_recall": 0.9986595174262735, | |
| "eval_runtime": 14.5108, | |
| "eval_samples_per_second": 51.41, | |
| "eval_steps_per_second": 6.478, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.322061191626409, | |
| "grad_norm": 0.009679725393652916, | |
| "learning_rate": 1.3780687397708677e-05, | |
| "loss": 0.0082, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.322061191626409, | |
| "eval_accuracy": 1.0, | |
| "eval_accuracy_label_GD622:NO": 1.0, | |
| "eval_accuracy_label_GD622:YES": 1.0, | |
| "eval_f1": 1.0, | |
| "eval_loss": 0.0001819185126805678, | |
| "eval_precision": 1.0, | |
| "eval_recall": 1.0, | |
| "eval_runtime": 14.1036, | |
| "eval_samples_per_second": 52.894, | |
| "eval_steps_per_second": 6.665, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.4830917874396135, | |
| "grad_norm": 0.004012643825262785, | |
| "learning_rate": 1.0507364975450083e-05, | |
| "loss": 0.0002, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.4830917874396135, | |
| "eval_accuracy": 1.0, | |
| "eval_accuracy_label_GD622:NO": 1.0, | |
| "eval_accuracy_label_GD622:YES": 1.0, | |
| "eval_f1": 1.0, | |
| "eval_loss": 8.742377394810319e-05, | |
| "eval_precision": 1.0, | |
| "eval_recall": 1.0, | |
| "eval_runtime": 14.2465, | |
| "eval_samples_per_second": 52.364, | |
| "eval_steps_per_second": 6.598, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.644122383252818, | |
| "grad_norm": 0.007226710207760334, | |
| "learning_rate": 7.234042553191491e-06, | |
| "loss": 0.0001, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.644122383252818, | |
| "eval_accuracy": 1.0, | |
| "eval_accuracy_label_GD622:NO": 1.0, | |
| "eval_accuracy_label_GD622:YES": 1.0, | |
| "eval_f1": 1.0, | |
| "eval_loss": 6.116439180914313e-05, | |
| "eval_precision": 1.0, | |
| "eval_recall": 1.0, | |
| "eval_runtime": 14.0833, | |
| "eval_samples_per_second": 52.971, | |
| "eval_steps_per_second": 6.675, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.8051529790660226, | |
| "grad_norm": 0.0017265487695112824, | |
| "learning_rate": 3.9607201309328975e-06, | |
| "loss": 0.0001, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.8051529790660226, | |
| "eval_accuracy": 1.0, | |
| "eval_accuracy_label_GD622:NO": 1.0, | |
| "eval_accuracy_label_GD622:YES": 1.0, | |
| "eval_f1": 1.0, | |
| "eval_loss": 5.098180554341525e-05, | |
| "eval_precision": 1.0, | |
| "eval_recall": 1.0, | |
| "eval_runtime": 14.2966, | |
| "eval_samples_per_second": 52.18, | |
| "eval_steps_per_second": 6.575, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.966183574879227, | |
| "grad_norm": 0.002074724994599819, | |
| "learning_rate": 6.873977086743044e-07, | |
| "loss": 0.0052, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.966183574879227, | |
| "eval_accuracy": 1.0, | |
| "eval_accuracy_label_GD622:NO": 1.0, | |
| "eval_accuracy_label_GD622:YES": 1.0, | |
| "eval_f1": 1.0, | |
| "eval_loss": 5.632078318740241e-05, | |
| "eval_precision": 1.0, | |
| "eval_recall": 1.0, | |
| "eval_runtime": 14.2886, | |
| "eval_samples_per_second": 52.209, | |
| "eval_steps_per_second": 6.579, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "step": 621, | |
| "total_flos": 118713820492800.0, | |
| "train_loss": 0.01817948298567033, | |
| "train_runtime": 610.2056, | |
| "train_samples_per_second": 16.281, | |
| "train_steps_per_second": 1.018 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 1.0, | |
| "eval_accuracy_label_GD622:NO": 1.0, | |
| "eval_accuracy_label_GD622:YES": 1.0, | |
| "eval_f1": 1.0, | |
| "eval_loss": 5.621322270599194e-05, | |
| "eval_precision": 1.0, | |
| "eval_recall": 1.0, | |
| "eval_runtime": 14.2274, | |
| "eval_samples_per_second": 52.434, | |
| "eval_steps_per_second": 6.607, | |
| "step": 621 | |
| } | |
| ], | |
| "logging_steps": 100, | |
| "max_steps": 621, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 100, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 118713820492800.0, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |