|
{ |
|
"best_metric": 0.6430063247680664, |
|
"best_model_checkpoint": "output/checkpoint-50", |
|
"epoch": 0.6012626515682934, |
|
"eval_steps": 50, |
|
"global_step": 750, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.0, |
|
"learning_rate": 4.444444444444445e-07, |
|
"loss": 0.5542, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 2e-05, |
|
"loss": 0.554, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"eval_accuracy": 0.6626865671641791, |
|
"eval_loss": 0.6430063247680664, |
|
"eval_runtime": 61.7692, |
|
"eval_samples_per_second": 5.423, |
|
"eval_steps_per_second": 1.36, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 4.222222222222222e-05, |
|
"loss": 0.5957, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"eval_accuracy": 0.6686567164179105, |
|
"eval_loss": 0.6705919504165649, |
|
"eval_runtime": 60.4388, |
|
"eval_samples_per_second": 5.543, |
|
"eval_steps_per_second": 1.39, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"learning_rate": 6.444444444444446e-05, |
|
"loss": 0.5668, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"eval_accuracy": 0.6805970149253732, |
|
"eval_loss": 0.7224913835525513, |
|
"eval_runtime": 56.4882, |
|
"eval_samples_per_second": 5.93, |
|
"eval_steps_per_second": 1.487, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"learning_rate": 8.666666666666667e-05, |
|
"loss": 0.5626, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"eval_accuracy": 0.6746268656716418, |
|
"eval_loss": 0.7115103006362915, |
|
"eval_runtime": 56.506, |
|
"eval_samples_per_second": 5.929, |
|
"eval_steps_per_second": 1.487, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"learning_rate": 9.80430528375734e-05, |
|
"loss": 0.5604, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"eval_accuracy": 0.6746268656716418, |
|
"eval_loss": 0.700947105884552, |
|
"eval_runtime": 56.4927, |
|
"eval_samples_per_second": 5.93, |
|
"eval_steps_per_second": 1.487, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"learning_rate": 9.315068493150684e-05, |
|
"loss": 0.5675, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"eval_accuracy": 0.6597014925373135, |
|
"eval_loss": 0.662155032157898, |
|
"eval_runtime": 56.4903, |
|
"eval_samples_per_second": 5.93, |
|
"eval_steps_per_second": 1.487, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.28, |
|
"learning_rate": 8.825831702544032e-05, |
|
"loss": 0.5725, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 0.28, |
|
"eval_accuracy": 0.6567164179104478, |
|
"eval_loss": 0.6746364831924438, |
|
"eval_runtime": 56.482, |
|
"eval_samples_per_second": 5.931, |
|
"eval_steps_per_second": 1.487, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 0.32, |
|
"learning_rate": 8.336594911937378e-05, |
|
"loss": 0.5884, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.32, |
|
"eval_accuracy": 0.6656716417910448, |
|
"eval_loss": 0.7047849893569946, |
|
"eval_runtime": 56.4873, |
|
"eval_samples_per_second": 5.931, |
|
"eval_steps_per_second": 1.487, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.36, |
|
"learning_rate": 7.847358121330725e-05, |
|
"loss": 0.5567, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 0.36, |
|
"eval_accuracy": 0.6477611940298508, |
|
"eval_loss": 0.6832321286201477, |
|
"eval_runtime": 56.4814, |
|
"eval_samples_per_second": 5.931, |
|
"eval_steps_per_second": 1.487, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 0.4, |
|
"learning_rate": 7.35812133072407e-05, |
|
"loss": 0.5723, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.4, |
|
"eval_accuracy": 0.6955223880597015, |
|
"eval_loss": 0.7437570691108704, |
|
"eval_runtime": 56.4677, |
|
"eval_samples_per_second": 5.933, |
|
"eval_steps_per_second": 1.488, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.44, |
|
"learning_rate": 6.868884540117417e-05, |
|
"loss": 0.5908, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 0.44, |
|
"eval_accuracy": 0.6238805970149254, |
|
"eval_loss": 0.6612433791160583, |
|
"eval_runtime": 56.4799, |
|
"eval_samples_per_second": 5.931, |
|
"eval_steps_per_second": 1.487, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 0.48, |
|
"learning_rate": 6.379647749510763e-05, |
|
"loss": 0.5681, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.48, |
|
"eval_accuracy": 0.6507462686567164, |
|
"eval_loss": 0.6833732724189758, |
|
"eval_runtime": 56.4689, |
|
"eval_samples_per_second": 5.932, |
|
"eval_steps_per_second": 1.488, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.52, |
|
"learning_rate": 5.89041095890411e-05, |
|
"loss": 0.5782, |
|
"step": 650 |
|
}, |
|
{ |
|
"epoch": 0.52, |
|
"eval_accuracy": 0.6507462686567164, |
|
"eval_loss": 0.67350834608078, |
|
"eval_runtime": 56.4637, |
|
"eval_samples_per_second": 5.933, |
|
"eval_steps_per_second": 1.488, |
|
"step": 650 |
|
}, |
|
{ |
|
"epoch": 0.56, |
|
"learning_rate": 5.401174168297456e-05, |
|
"loss": 0.569, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 0.56, |
|
"eval_accuracy": 0.6686567164179105, |
|
"eval_loss": 0.7085319757461548, |
|
"eval_runtime": 56.4627, |
|
"eval_samples_per_second": 5.933, |
|
"eval_steps_per_second": 1.488, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 0.6, |
|
"learning_rate": 4.911937377690802e-05, |
|
"loss": 0.5661, |
|
"step": 750 |
|
}, |
|
{ |
|
"epoch": 0.6, |
|
"eval_accuracy": 0.6835820895522388, |
|
"eval_loss": 0.7564846277236938, |
|
"eval_runtime": 56.4648, |
|
"eval_samples_per_second": 5.933, |
|
"eval_steps_per_second": 1.488, |
|
"step": 750 |
|
} |
|
], |
|
"logging_steps": 50, |
|
"max_steps": 1247, |
|
"num_train_epochs": 1, |
|
"save_steps": 50, |
|
"total_flos": 2.7983208553746432e+17, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|