| { | |
| "best_global_step": 34, | |
| "best_metric": 0.6154244542121887, | |
| "best_model_checkpoint": "distilbert_rand_10_v2_cola/checkpoint-34", | |
| "epoch": 6.0, | |
| "eval_steps": 500, | |
| "global_step": 204, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 1.1962289810180664, | |
| "learning_rate": 4.9e-05, | |
| "loss": 0.615, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.6912751793861389, | |
| "eval_loss": 0.6154244542121887, | |
| "eval_matthews_correlation": 0.0, | |
| "eval_runtime": 0.4402, | |
| "eval_samples_per_second": 2369.255, | |
| "eval_steps_per_second": 11.358, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 1.8502079248428345, | |
| "learning_rate": 4.8e-05, | |
| "loss": 0.5908, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.6836050152778625, | |
| "eval_loss": 0.6301819682121277, | |
| "eval_matthews_correlation": 0.05132011407765458, | |
| "eval_runtime": 0.4854, | |
| "eval_samples_per_second": 2148.911, | |
| "eval_steps_per_second": 10.302, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 2.2110676765441895, | |
| "learning_rate": 4.7e-05, | |
| "loss": 0.5475, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.6816874146461487, | |
| "eval_loss": 0.6317144632339478, | |
| "eval_matthews_correlation": 0.08034386400319438, | |
| "eval_runtime": 0.4663, | |
| "eval_samples_per_second": 2236.665, | |
| "eval_steps_per_second": 10.722, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 2.9596452713012695, | |
| "learning_rate": 4.600000000000001e-05, | |
| "loss": 0.4883, | |
| "step": 136 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.6500479578971863, | |
| "eval_loss": 0.7006556391716003, | |
| "eval_matthews_correlation": 0.09743296097822274, | |
| "eval_runtime": 0.4737, | |
| "eval_samples_per_second": 2201.646, | |
| "eval_steps_per_second": 10.554, | |
| "step": 136 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 2.2971408367156982, | |
| "learning_rate": 4.5e-05, | |
| "loss": 0.4326, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.6471716165542603, | |
| "eval_loss": 0.7236018180847168, | |
| "eval_matthews_correlation": 0.08382215590402259, | |
| "eval_runtime": 0.4459, | |
| "eval_samples_per_second": 2339.048, | |
| "eval_steps_per_second": 11.213, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 4.464991092681885, | |
| "learning_rate": 4.4000000000000006e-05, | |
| "loss": 0.3826, | |
| "step": 204 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.6433365345001221, | |
| "eval_loss": 0.864536702632904, | |
| "eval_matthews_correlation": 0.07335755495747934, | |
| "eval_runtime": 0.469, | |
| "eval_samples_per_second": 2224.069, | |
| "eval_steps_per_second": 10.662, | |
| "step": 204 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "step": 204, | |
| "total_flos": 3398186177722368.0, | |
| "train_loss": 0.5094801912120744, | |
| "train_runtime": 58.0721, | |
| "train_samples_per_second": 7362.398, | |
| "train_steps_per_second": 29.274 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 1700, | |
| "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": 3398186177722368.0, | |
| "train_batch_size": 256, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |