| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 6.289308176100629, | |
| "eval_steps": 500, | |
| "global_step": 2000, | |
| "is_hyper_param_search": true, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.5803225806451613, | |
| "eval_loss": 0.19005867838859558, | |
| "eval_runtime": 5.674, | |
| "eval_samples_per_second": 546.354, | |
| "eval_steps_per_second": 11.456, | |
| "step": 318 | |
| }, | |
| { | |
| "epoch": 1.5723270440251573, | |
| "grad_norm": 0.5149380564689636, | |
| "learning_rate": 1.685534591194969e-05, | |
| "loss": 0.3072, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.817741935483871, | |
| "eval_loss": 0.0924694836139679, | |
| "eval_runtime": 6.0294, | |
| "eval_samples_per_second": 514.15, | |
| "eval_steps_per_second": 10.781, | |
| "step": 636 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8770967741935484, | |
| "eval_loss": 0.06209348514676094, | |
| "eval_runtime": 5.7978, | |
| "eval_samples_per_second": 534.685, | |
| "eval_steps_per_second": 11.211, | |
| "step": 954 | |
| }, | |
| { | |
| "epoch": 3.1446540880503147, | |
| "grad_norm": 0.4281909167766571, | |
| "learning_rate": 1.371069182389937e-05, | |
| "loss": 0.1072, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.9009677419354839, | |
| "eval_loss": 0.048012129962444305, | |
| "eval_runtime": 5.7482, | |
| "eval_samples_per_second": 539.302, | |
| "eval_steps_per_second": 11.308, | |
| "step": 1272 | |
| }, | |
| { | |
| "epoch": 4.716981132075472, | |
| "grad_norm": 0.2933551073074341, | |
| "learning_rate": 1.0566037735849058e-05, | |
| "loss": 0.0684, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.9093548387096774, | |
| "eval_loss": 0.03922256454825401, | |
| "eval_runtime": 5.9235, | |
| "eval_samples_per_second": 523.338, | |
| "eval_steps_per_second": 10.973, | |
| "step": 1590 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.912258064516129, | |
| "eval_loss": 0.03422800451517105, | |
| "eval_runtime": 5.7032, | |
| "eval_samples_per_second": 543.553, | |
| "eval_steps_per_second": 11.397, | |
| "step": 1908 | |
| }, | |
| { | |
| "epoch": 6.289308176100629, | |
| "grad_norm": 0.25101438164711, | |
| "learning_rate": 7.421383647798742e-06, | |
| "loss": 0.0534, | |
| "step": 2000 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 3180, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 10, | |
| "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": 520991326672152.0, | |
| "train_batch_size": 48, | |
| "trial_name": null, | |
| "trial_params": { | |
| "alpha": 0.7637668053146042, | |
| "num_train_epochs": 10, | |
| "temperature": 18 | |
| } | |
| } | |