|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 4.021447721179625, |
|
"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": 0.7502514123916626, |
|
"eval_loss": 0.47628718614578247, |
|
"eval_runtime": 9.4864, |
|
"eval_samples_per_second": 314.449, |
|
"eval_steps_per_second": 19.712, |
|
"step": 373 |
|
}, |
|
{ |
|
"epoch": 1.3404825737265416, |
|
"grad_norm": 11.133524894714355, |
|
"learning_rate": 1.3824026202690149e-05, |
|
"loss": 0.5239, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.7720415592193604, |
|
"eval_loss": 0.4691523015499115, |
|
"eval_runtime": 9.6019, |
|
"eval_samples_per_second": 310.669, |
|
"eval_steps_per_second": 19.475, |
|
"step": 746 |
|
}, |
|
{ |
|
"epoch": 2.680965147453083, |
|
"grad_norm": 12.096076011657715, |
|
"learning_rate": 1.1684084066050808e-05, |
|
"loss": 0.2819, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.7730472683906555, |
|
"eval_loss": 0.6077698469161987, |
|
"eval_runtime": 9.4502, |
|
"eval_samples_per_second": 315.654, |
|
"eval_steps_per_second": 19.788, |
|
"step": 1119 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.7696949243545532, |
|
"eval_loss": 0.8962089419364929, |
|
"eval_runtime": 9.4938, |
|
"eval_samples_per_second": 314.204, |
|
"eval_steps_per_second": 19.697, |
|
"step": 1492 |
|
}, |
|
{ |
|
"epoch": 4.021447721179625, |
|
"grad_norm": 1.9103776216506958, |
|
"learning_rate": 9.544141929411465e-06, |
|
"loss": 0.1205, |
|
"step": 1500 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 3730, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 10, |
|
"save_steps": 500, |
|
"total_flos": 8939594204751600.0, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": { |
|
"learning_rate": 1.596396833932949e-05, |
|
"per_device_train_batch_size": 32 |
|
} |
|
} |
|
|