| { | |
| "best_global_step": 264, | |
| "best_metric": 0.4527788758277893, | |
| "best_model_checkpoint": "distilbert_rand_5_v2_sst2/checkpoint-264", | |
| "epoch": 6.0, | |
| "eval_steps": 500, | |
| "global_step": 1584, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 7.377885341644287, | |
| "learning_rate": 4.9e-05, | |
| "loss": 0.3883, | |
| "step": 264 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.8188073394495413, | |
| "eval_loss": 0.4527788758277893, | |
| "eval_runtime": 0.3745, | |
| "eval_samples_per_second": 2328.485, | |
| "eval_steps_per_second": 10.681, | |
| "step": 264 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 6.007850170135498, | |
| "learning_rate": 4.8e-05, | |
| "loss": 0.2203, | |
| "step": 528 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8188073394495413, | |
| "eval_loss": 0.47409456968307495, | |
| "eval_runtime": 0.3723, | |
| "eval_samples_per_second": 2341.946, | |
| "eval_steps_per_second": 10.743, | |
| "step": 528 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 4.742299556732178, | |
| "learning_rate": 4.7e-05, | |
| "loss": 0.1626, | |
| "step": 792 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8084862385321101, | |
| "eval_loss": 0.514573872089386, | |
| "eval_runtime": 0.375, | |
| "eval_samples_per_second": 2325.316, | |
| "eval_steps_per_second": 10.667, | |
| "step": 792 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 5.826347827911377, | |
| "learning_rate": 4.600000000000001e-05, | |
| "loss": 0.123, | |
| "step": 1056 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8268348623853211, | |
| "eval_loss": 0.5761303901672363, | |
| "eval_runtime": 0.3797, | |
| "eval_samples_per_second": 2296.576, | |
| "eval_steps_per_second": 10.535, | |
| "step": 1056 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 5.340493679046631, | |
| "learning_rate": 4.5e-05, | |
| "loss": 0.0957, | |
| "step": 1320 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.8096330275229358, | |
| "eval_loss": 0.6311283111572266, | |
| "eval_runtime": 0.3748, | |
| "eval_samples_per_second": 2326.742, | |
| "eval_steps_per_second": 10.673, | |
| "step": 1320 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 3.8428404331207275, | |
| "learning_rate": 4.4000000000000006e-05, | |
| "loss": 0.0747, | |
| "step": 1584 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.8027522935779816, | |
| "eval_loss": 0.6833432912826538, | |
| "eval_runtime": 0.3896, | |
| "eval_samples_per_second": 2237.986, | |
| "eval_steps_per_second": 10.266, | |
| "step": 1584 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "step": 1584, | |
| "total_flos": 2.676464049624883e+16, | |
| "train_loss": 0.1774315195854264, | |
| "train_runtime": 377.5983, | |
| "train_samples_per_second": 8918.074, | |
| "train_steps_per_second": 34.958 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 13200, | |
| "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": 2.676464049624883e+16, | |
| "train_batch_size": 256, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |