|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 4.716981132075472, |
|
"eval_steps": 500, |
|
"global_step": 1500, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.6061290322580645, |
|
"eval_loss": 0.2067662924528122, |
|
"eval_runtime": 1.83, |
|
"eval_samples_per_second": 1693.985, |
|
"eval_steps_per_second": 35.519, |
|
"step": 318 |
|
}, |
|
{ |
|
"epoch": 1.57, |
|
"learning_rate": 1.650593990216632e-05, |
|
"loss": 0.3335, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8312903225806452, |
|
"eval_loss": 0.09916964918375015, |
|
"eval_runtime": 2.1477, |
|
"eval_samples_per_second": 1443.399, |
|
"eval_steps_per_second": 30.265, |
|
"step": 636 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.8816129032258064, |
|
"eval_loss": 0.06577017158269882, |
|
"eval_runtime": 1.8521, |
|
"eval_samples_per_second": 1673.812, |
|
"eval_steps_per_second": 35.096, |
|
"step": 954 |
|
}, |
|
{ |
|
"epoch": 3.14, |
|
"learning_rate": 1.3011879804332637e-05, |
|
"loss": 0.1145, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.8987096774193548, |
|
"eval_loss": 0.04967508092522621, |
|
"eval_runtime": 1.8807, |
|
"eval_samples_per_second": 1648.287, |
|
"eval_steps_per_second": 34.561, |
|
"step": 1272 |
|
}, |
|
{ |
|
"epoch": 4.72, |
|
"learning_rate": 9.517819706498952e-06, |
|
"loss": 0.0721, |
|
"step": 1500 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 2862, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 9, |
|
"save_steps": 500, |
|
"total_flos": 391111083046572.0, |
|
"train_batch_size": 48, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.08109385800901192, |
|
"num_train_epochs": 9, |
|
"temperature": 8 |
|
} |
|
} |
|
|