| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 8.0, | |
| "eval_steps": 500, | |
| "global_step": 2544, | |
| "is_hyper_param_search": true, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.6464516129032258, | |
| "eval_loss": 0.2894870638847351, | |
| "eval_runtime": 5.1625, | |
| "eval_samples_per_second": 600.482, | |
| "eval_steps_per_second": 12.591, | |
| "step": 318 | |
| }, | |
| { | |
| "epoch": 1.5723270440251573, | |
| "grad_norm": 0.6621634364128113, | |
| "learning_rate": 1.606918238993711e-05, | |
| "loss": 0.4605, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8416129032258064, | |
| "eval_loss": 0.11869335174560547, | |
| "eval_runtime": 5.2214, | |
| "eval_samples_per_second": 593.71, | |
| "eval_steps_per_second": 12.449, | |
| "step": 636 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8912903225806451, | |
| "eval_loss": 0.0700218454003334, | |
| "eval_runtime": 5.1185, | |
| "eval_samples_per_second": 605.652, | |
| "eval_steps_per_second": 12.699, | |
| "step": 954 | |
| }, | |
| { | |
| "epoch": 3.1446540880503147, | |
| "grad_norm": 0.5828885436058044, | |
| "learning_rate": 1.2138364779874214e-05, | |
| "loss": 0.1397, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.9077419354838709, | |
| "eval_loss": 0.05109017714858055, | |
| "eval_runtime": 5.3994, | |
| "eval_samples_per_second": 574.138, | |
| "eval_steps_per_second": 12.038, | |
| "step": 1272 | |
| }, | |
| { | |
| "epoch": 4.716981132075472, | |
| "grad_norm": 0.38680753111839294, | |
| "learning_rate": 8.207547169811321e-06, | |
| "loss": 0.0802, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.9164516129032259, | |
| "eval_loss": 0.04168670251965523, | |
| "eval_runtime": 5.2289, | |
| "eval_samples_per_second": 592.857, | |
| "eval_steps_per_second": 12.431, | |
| "step": 1590 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.9241935483870968, | |
| "eval_loss": 0.03709598630666733, | |
| "eval_runtime": 5.1496, | |
| "eval_samples_per_second": 601.985, | |
| "eval_steps_per_second": 12.622, | |
| "step": 1908 | |
| }, | |
| { | |
| "epoch": 6.289308176100629, | |
| "grad_norm": 0.32195693254470825, | |
| "learning_rate": 4.276729559748428e-06, | |
| "loss": 0.0619, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.9264516129032258, | |
| "eval_loss": 0.0347614511847496, | |
| "eval_runtime": 5.37, | |
| "eval_samples_per_second": 577.286, | |
| "eval_steps_per_second": 12.104, | |
| "step": 2226 | |
| }, | |
| { | |
| "epoch": 7.861635220125786, | |
| "grad_norm": 0.33459800481796265, | |
| "learning_rate": 3.459119496855346e-07, | |
| "loss": 0.0552, | |
| "step": 2500 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 2544, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 8, | |
| "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": 651155886807636.0, | |
| "train_batch_size": 48, | |
| "trial_name": null, | |
| "trial_params": { | |
| "alpha": 0.6565754742921168, | |
| "num_train_epochs": 8, | |
| "temperature": 3 | |
| } | |
| } | |