| { |
| "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 |
| } |
|
|
