|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 3.1446540880503147, |
|
"eval_steps": 500, |
|
"global_step": 1000, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.5729032258064516, |
|
"eval_loss": 0.1942509263753891, |
|
"eval_runtime": 6.3251, |
|
"eval_samples_per_second": 490.111, |
|
"eval_steps_per_second": 10.277, |
|
"step": 318 |
|
}, |
|
{ |
|
"epoch": 1.57, |
|
"learning_rate": 1.550763701707098e-05, |
|
"loss": 0.3101, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8106451612903226, |
|
"eval_loss": 0.09739375114440918, |
|
"eval_runtime": 5.9524, |
|
"eval_samples_per_second": 520.8, |
|
"eval_steps_per_second": 10.92, |
|
"step": 636 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.8709677419354839, |
|
"eval_loss": 0.06751346588134766, |
|
"eval_runtime": 5.9559, |
|
"eval_samples_per_second": 520.491, |
|
"eval_steps_per_second": 10.914, |
|
"step": 954 |
|
}, |
|
{ |
|
"epoch": 3.14, |
|
"learning_rate": 1.101527403414196e-05, |
|
"loss": 0.1122, |
|
"step": 1000 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 2226, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 7, |
|
"save_steps": 500, |
|
"total_flos": 260572968372528.0, |
|
"train_batch_size": 48, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.20075631208140787, |
|
"num_train_epochs": 7, |
|
"temperature": 18 |
|
} |
|
} |
|
|