|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 9.433962264150944, |
|
"eval_steps": 500, |
|
"global_step": 3000, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.6267741935483871, |
|
"eval_loss": 0.19981417059898376, |
|
"eval_runtime": 5.7482, |
|
"eval_samples_per_second": 539.296, |
|
"eval_steps_per_second": 11.308, |
|
"step": 318 |
|
}, |
|
{ |
|
"epoch": 1.57, |
|
"learning_rate": 1.685534591194969e-05, |
|
"loss": 0.324, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8287096774193549, |
|
"eval_loss": 0.09645497798919678, |
|
"eval_runtime": 5.8849, |
|
"eval_samples_per_second": 526.769, |
|
"eval_steps_per_second": 11.045, |
|
"step": 636 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.8841935483870967, |
|
"eval_loss": 0.061595458537340164, |
|
"eval_runtime": 5.6926, |
|
"eval_samples_per_second": 544.564, |
|
"eval_steps_per_second": 11.418, |
|
"step": 954 |
|
}, |
|
{ |
|
"epoch": 3.14, |
|
"learning_rate": 1.371069182389937e-05, |
|
"loss": 0.1107, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.9035483870967742, |
|
"eval_loss": 0.046646881848573685, |
|
"eval_runtime": 5.7741, |
|
"eval_samples_per_second": 536.883, |
|
"eval_steps_per_second": 11.257, |
|
"step": 1272 |
|
}, |
|
{ |
|
"epoch": 4.72, |
|
"learning_rate": 1.0566037735849058e-05, |
|
"loss": 0.0692, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.9096774193548387, |
|
"eval_loss": 0.03824981674551964, |
|
"eval_runtime": 5.8988, |
|
"eval_samples_per_second": 525.532, |
|
"eval_steps_per_second": 11.019, |
|
"step": 1590 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.9193548387096774, |
|
"eval_loss": 0.033315952867269516, |
|
"eval_runtime": 5.6959, |
|
"eval_samples_per_second": 544.253, |
|
"eval_steps_per_second": 11.412, |
|
"step": 1908 |
|
}, |
|
{ |
|
"epoch": 6.29, |
|
"learning_rate": 7.421383647798742e-06, |
|
"loss": 0.0539, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.9235483870967742, |
|
"eval_loss": 0.03077365830540657, |
|
"eval_runtime": 5.7622, |
|
"eval_samples_per_second": 537.993, |
|
"eval_steps_per_second": 11.28, |
|
"step": 2226 |
|
}, |
|
{ |
|
"epoch": 7.86, |
|
"learning_rate": 4.276729559748428e-06, |
|
"loss": 0.0464, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.9267741935483871, |
|
"eval_loss": 0.02861487679183483, |
|
"eval_runtime": 5.7757, |
|
"eval_samples_per_second": 536.727, |
|
"eval_steps_per_second": 11.254, |
|
"step": 2544 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_accuracy": 0.927741935483871, |
|
"eval_loss": 0.02738775499165058, |
|
"eval_runtime": 5.6806, |
|
"eval_samples_per_second": 545.721, |
|
"eval_steps_per_second": 11.443, |
|
"step": 2862 |
|
}, |
|
{ |
|
"epoch": 9.43, |
|
"learning_rate": 1.1320754716981133e-06, |
|
"loss": 0.0429, |
|
"step": 3000 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 3180, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 10, |
|
"save_steps": 500, |
|
"total_flos": 838007348169600.0, |
|
"train_batch_size": 48, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.8067006596645674, |
|
"num_train_epochs": 10, |
|
"temperature": 10 |
|
} |
|
} |
|
|