| { | |
| "best_metric": 0.8325688073394495, | |
| "best_model_checkpoint": "tiny-bert-sst2-distilled/run-3/checkpoint-3162", | |
| "epoch": 6.0, | |
| "eval_steps": 500, | |
| "global_step": 3162, | |
| "is_hyper_param_search": true, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 31.228694915771484, | |
| "learning_rate": 7.086160775881376e-05, | |
| "loss": 2.5988, | |
| "step": 527 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.8061926605504587, | |
| "eval_loss": 1.924224615097046, | |
| "eval_runtime": 2.5772, | |
| "eval_samples_per_second": 338.351, | |
| "eval_steps_per_second": 2.716, | |
| "step": 527 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 51.49909591674805, | |
| "learning_rate": 5.9055073680756574e-05, | |
| "loss": 1.2849, | |
| "step": 1054 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8176605504587156, | |
| "eval_loss": 1.7333961725234985, | |
| "eval_runtime": 2.54, | |
| "eval_samples_per_second": 343.313, | |
| "eval_steps_per_second": 2.756, | |
| "step": 1054 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 84.45722961425781, | |
| "learning_rate": 4.72485396026994e-05, | |
| "loss": 0.9617, | |
| "step": 1581 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8245412844036697, | |
| "eval_loss": 1.7150405645370483, | |
| "eval_runtime": 2.5578, | |
| "eval_samples_per_second": 340.916, | |
| "eval_steps_per_second": 2.737, | |
| "step": 1581 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 30.98444938659668, | |
| "learning_rate": 3.5442005524642224e-05, | |
| "loss": 0.8154, | |
| "step": 2108 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8222477064220184, | |
| "eval_loss": 1.6820627450942993, | |
| "eval_runtime": 2.5749, | |
| "eval_samples_per_second": 338.654, | |
| "eval_steps_per_second": 2.719, | |
| "step": 2108 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 18.188648223876953, | |
| "learning_rate": 2.3635471446585048e-05, | |
| "loss": 0.7233, | |
| "step": 2635 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.8245412844036697, | |
| "eval_loss": 1.7338383197784424, | |
| "eval_runtime": 2.5776, | |
| "eval_samples_per_second": 338.302, | |
| "eval_steps_per_second": 2.716, | |
| "step": 2635 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": Infinity, | |
| "learning_rate": 1.1851340658998569e-05, | |
| "loss": 0.6653, | |
| "step": 3162 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.8325688073394495, | |
| "eval_loss": 1.7560914754867554, | |
| "eval_runtime": 2.5981, | |
| "eval_samples_per_second": 335.631, | |
| "eval_steps_per_second": 2.694, | |
| "step": 3162 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 3689, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 7, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 48527917525620.0, | |
| "train_batch_size": 128, | |
| "trial_name": null, | |
| "trial_params": { | |
| "alpha": 0.1351029311037084, | |
| "learning_rate": 8.264573854640023e-05, | |
| "num_train_epochs": 7, | |
| "temperature": 16 | |
| } | |
| } | |