|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 7.861635220125786, |
|
"eval_steps": 500, |
|
"global_step": 2500, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.584516129032258, |
|
"eval_loss": 0.19766665995121002, |
|
"eval_runtime": 1.3839, |
|
"eval_samples_per_second": 2239.966, |
|
"eval_steps_per_second": 46.967, |
|
"step": 318 |
|
}, |
|
{ |
|
"epoch": 1.5723270440251573, |
|
"grad_norm": 0.5089908242225647, |
|
"learning_rate": 1.650593990216632e-05, |
|
"loss": 0.318, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8293548387096774, |
|
"eval_loss": 0.0966305062174797, |
|
"eval_runtime": 1.3724, |
|
"eval_samples_per_second": 2258.896, |
|
"eval_steps_per_second": 47.364, |
|
"step": 636 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.8806451612903226, |
|
"eval_loss": 0.0646040290594101, |
|
"eval_runtime": 1.3887, |
|
"eval_samples_per_second": 2232.348, |
|
"eval_steps_per_second": 46.807, |
|
"step": 954 |
|
}, |
|
{ |
|
"epoch": 3.1446540880503147, |
|
"grad_norm": 0.47452715039253235, |
|
"learning_rate": 1.3011879804332637e-05, |
|
"loss": 0.1118, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.8938709677419355, |
|
"eval_loss": 0.04966060072183609, |
|
"eval_runtime": 1.4052, |
|
"eval_samples_per_second": 2206.033, |
|
"eval_steps_per_second": 46.256, |
|
"step": 1272 |
|
}, |
|
{ |
|
"epoch": 4.716981132075472, |
|
"grad_norm": 0.31503432989120483, |
|
"learning_rate": 9.517819706498952e-06, |
|
"loss": 0.0711, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.9077419354838709, |
|
"eval_loss": 0.04069723188877106, |
|
"eval_runtime": 1.3704, |
|
"eval_samples_per_second": 2262.072, |
|
"eval_steps_per_second": 47.431, |
|
"step": 1590 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.9148387096774193, |
|
"eval_loss": 0.035783424973487854, |
|
"eval_runtime": 1.5987, |
|
"eval_samples_per_second": 1939.088, |
|
"eval_steps_per_second": 40.658, |
|
"step": 1908 |
|
}, |
|
{ |
|
"epoch": 6.289308176100629, |
|
"grad_norm": 0.2500377297401428, |
|
"learning_rate": 6.02375960866527e-06, |
|
"loss": 0.0561, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.9193548387096774, |
|
"eval_loss": 0.033154334872961044, |
|
"eval_runtime": 1.3708, |
|
"eval_samples_per_second": 2261.503, |
|
"eval_steps_per_second": 47.419, |
|
"step": 2226 |
|
}, |
|
{ |
|
"epoch": 7.861635220125786, |
|
"grad_norm": 0.22538858652114868, |
|
"learning_rate": 2.5296995108315863e-06, |
|
"loss": 0.0492, |
|
"step": 2500 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 2862, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 9, |
|
"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": 651155886807636.0, |
|
"train_batch_size": 48, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.18633073638587916, |
|
"num_train_epochs": 9, |
|
"temperature": 12 |
|
} |
|
} |
|
|