| { | |
| "best_global_step": 34, | |
| "best_metric": 0.6158148646354675, | |
| "best_model_checkpoint": "distilbert_rand_50_v1_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": 1.2927180528640747, | |
| "learning_rate": 4.9e-05, | |
| "loss": 0.6147, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.6912751793861389, | |
| "eval_loss": 0.6158148646354675, | |
| "eval_matthews_correlation": 0.0, | |
| "eval_runtime": 0.4395, | |
| "eval_samples_per_second": 2373.267, | |
| "eval_steps_per_second": 11.377, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 1.549296498298645, | |
| "learning_rate": 4.8e-05, | |
| "loss": 0.5935, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.6912751793861389, | |
| "eval_loss": 0.6207744479179382, | |
| "eval_matthews_correlation": 0.0, | |
| "eval_runtime": 0.4824, | |
| "eval_samples_per_second": 2162.311, | |
| "eval_steps_per_second": 10.366, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 2.8696980476379395, | |
| "learning_rate": 4.7e-05, | |
| "loss": 0.548, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.6759347915649414, | |
| "eval_loss": 0.6408491134643555, | |
| "eval_matthews_correlation": 0.015191433834210268, | |
| "eval_runtime": 0.4792, | |
| "eval_samples_per_second": 2176.741, | |
| "eval_steps_per_second": 10.435, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 4.342837333679199, | |
| "learning_rate": 4.600000000000001e-05, | |
| "loss": 0.4961, | |
| "step": 136 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.6567593216896057, | |
| "eval_loss": 0.7421315312385559, | |
| "eval_matthews_correlation": 0.08852460407026867, | |
| "eval_runtime": 0.442, | |
| "eval_samples_per_second": 2359.861, | |
| "eval_steps_per_second": 11.313, | |
| "step": 136 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 2.1100683212280273, | |
| "learning_rate": 4.5e-05, | |
| "loss": 0.4413, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.6605944633483887, | |
| "eval_loss": 0.7400658130645752, | |
| "eval_matthews_correlation": 0.10614316120782262, | |
| "eval_runtime": 0.4746, | |
| "eval_samples_per_second": 2197.487, | |
| "eval_steps_per_second": 10.534, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 3.1626508235931396, | |
| "learning_rate": 4.4000000000000006e-05, | |
| "loss": 0.3876, | |
| "step": 204 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.6088207364082336, | |
| "eval_loss": 0.8084709644317627, | |
| "eval_matthews_correlation": 0.0850925091452348, | |
| "eval_runtime": 0.4634, | |
| "eval_samples_per_second": 2250.557, | |
| "eval_steps_per_second": 10.789, | |
| "step": 204 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "step": 204, | |
| "total_flos": 3398186177722368.0, | |
| "train_loss": 0.5135374676947501, | |
| "train_runtime": 58.1664, | |
| "train_samples_per_second": 7350.458, | |
| "train_steps_per_second": 29.226 | |
| } | |
| ], | |
| "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 | |
| } | |