| { | |
| "best_metric": 0.8072289156626506, | |
| "best_model_checkpoint": "./nlu_finetuned_models/rte/roberta-large_lr1e-05/checkpoint-987", | |
| "epoch": 10.0, | |
| "eval_steps": 500, | |
| "global_step": 1410, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.46184738955823296, | |
| "eval_loss": 0.7056757211685181, | |
| "eval_runtime": 0.6863, | |
| "eval_samples_per_second": 362.829, | |
| "eval_steps_per_second": 23.314, | |
| "step": 141 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.7228915662650602, | |
| "eval_loss": 0.6255487203598022, | |
| "eval_runtime": 0.6852, | |
| "eval_samples_per_second": 363.375, | |
| "eval_steps_per_second": 23.349, | |
| "step": 282 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.7791164658634538, | |
| "eval_loss": 0.5178215503692627, | |
| "eval_runtime": 0.6747, | |
| "eval_samples_per_second": 369.072, | |
| "eval_steps_per_second": 23.715, | |
| "step": 423 | |
| }, | |
| { | |
| "epoch": 3.546099290780142, | |
| "grad_norm": 29.539140701293945, | |
| "learning_rate": 6.867924528301887e-06, | |
| "loss": 0.553, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.7871485943775101, | |
| "eval_loss": 0.7929865717887878, | |
| "eval_runtime": 0.6757, | |
| "eval_samples_per_second": 368.52, | |
| "eval_steps_per_second": 23.68, | |
| "step": 564 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.7751004016064257, | |
| "eval_loss": 1.1344404220581055, | |
| "eval_runtime": 0.6864, | |
| "eval_samples_per_second": 362.743, | |
| "eval_steps_per_second": 23.309, | |
| "step": 705 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.7751004016064257, | |
| "eval_loss": 1.3329523801803589, | |
| "eval_runtime": 0.6828, | |
| "eval_samples_per_second": 364.657, | |
| "eval_steps_per_second": 23.432, | |
| "step": 846 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.8072289156626506, | |
| "eval_loss": 1.3685961961746216, | |
| "eval_runtime": 0.6862, | |
| "eval_samples_per_second": 362.852, | |
| "eval_steps_per_second": 23.316, | |
| "step": 987 | |
| }, | |
| { | |
| "epoch": 7.092198581560283, | |
| "grad_norm": 0.07306408137083054, | |
| "learning_rate": 3.0943396226415094e-06, | |
| "loss": 0.1419, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.7831325301204819, | |
| "eval_loss": 1.7352402210235596, | |
| "eval_runtime": 0.6799, | |
| "eval_samples_per_second": 366.211, | |
| "eval_steps_per_second": 23.532, | |
| "step": 1128 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.7911646586345381, | |
| "eval_loss": 1.6394472122192383, | |
| "eval_runtime": 0.6809, | |
| "eval_samples_per_second": 365.676, | |
| "eval_steps_per_second": 23.497, | |
| "step": 1269 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.7871485943775101, | |
| "eval_loss": 1.6835201978683472, | |
| "eval_runtime": 0.6531, | |
| "eval_samples_per_second": 381.265, | |
| "eval_steps_per_second": 24.499, | |
| "step": 1410 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "step": 1410, | |
| "total_flos": 5134488587504724.0, | |
| "train_loss": 0.2575254629689751, | |
| "train_runtime": 283.0673, | |
| "train_samples_per_second": 79.168, | |
| "train_steps_per_second": 4.981 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 1410, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 10, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 5134488587504724.0, | |
| "train_batch_size": 16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |