|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 5.347593582887701, |
|
"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": 0.7019778490066528, |
|
"eval_loss": 0.5544637441635132, |
|
"eval_runtime": 9.2773, |
|
"eval_samples_per_second": 321.539, |
|
"eval_steps_per_second": 20.157, |
|
"step": 187 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.744552493095398, |
|
"eval_loss": 0.49814581871032715, |
|
"eval_runtime": 9.3471, |
|
"eval_samples_per_second": 319.136, |
|
"eval_steps_per_second": 20.006, |
|
"step": 374 |
|
}, |
|
{ |
|
"epoch": 2.6737967914438503, |
|
"grad_norm": 11.23240852355957, |
|
"learning_rate": 1.7634576095057786e-06, |
|
"loss": 0.5749, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.763660728931427, |
|
"eval_loss": 0.4700300395488739, |
|
"eval_runtime": 9.4418, |
|
"eval_samples_per_second": 315.936, |
|
"eval_steps_per_second": 19.806, |
|
"step": 561 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.7747234106063843, |
|
"eval_loss": 0.4598151743412018, |
|
"eval_runtime": 9.504, |
|
"eval_samples_per_second": 313.868, |
|
"eval_steps_per_second": 19.676, |
|
"step": 748 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.7864565849304199, |
|
"eval_loss": 0.4558647572994232, |
|
"eval_runtime": 9.4827, |
|
"eval_samples_per_second": 314.573, |
|
"eval_steps_per_second": 19.72, |
|
"step": 935 |
|
}, |
|
{ |
|
"epoch": 5.347593582887701, |
|
"grad_norm": 16.31344985961914, |
|
"learning_rate": 1.1198599418029397e-06, |
|
"loss": 0.4329, |
|
"step": 1000 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 1870, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 10, |
|
"save_steps": 500, |
|
"total_flos": 1.1927468911210596e+16, |
|
"train_batch_size": 64, |
|
"trial_name": null, |
|
"trial_params": { |
|
"learning_rate": 2.4070552772086175e-06, |
|
"per_device_train_batch_size": 64 |
|
} |
|
} |
|
|