|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 10.0, |
|
"global_step": 4000, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"eval_bleu": 58.9649, |
|
"eval_gen_len": 19.44, |
|
"eval_loss": 0.6476399302482605, |
|
"eval_runtime": 7.9533, |
|
"eval_samples_per_second": 12.573, |
|
"eval_steps_per_second": 6.287, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 1.25, |
|
"learning_rate": 1.7500000000000002e-05, |
|
"loss": 0.6755, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_bleu": 59.7239, |
|
"eval_gen_len": 19.21, |
|
"eval_loss": 0.6683109998703003, |
|
"eval_runtime": 7.5813, |
|
"eval_samples_per_second": 13.19, |
|
"eval_steps_per_second": 6.595, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 2.5, |
|
"learning_rate": 1.5000000000000002e-05, |
|
"loss": 0.2568, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_bleu": 59.3781, |
|
"eval_gen_len": 19.22, |
|
"eval_loss": 0.7284716963768005, |
|
"eval_runtime": 7.5691, |
|
"eval_samples_per_second": 13.212, |
|
"eval_steps_per_second": 6.606, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 3.75, |
|
"learning_rate": 1.25e-05, |
|
"loss": 0.1116, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_bleu": 60.1615, |
|
"eval_gen_len": 19.14, |
|
"eval_loss": 0.8120526075363159, |
|
"eval_runtime": 7.4229, |
|
"eval_samples_per_second": 13.472, |
|
"eval_steps_per_second": 6.736, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"learning_rate": 1e-05, |
|
"loss": 0.048, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_bleu": 58.8865, |
|
"eval_gen_len": 19.34, |
|
"eval_loss": 0.8653954267501831, |
|
"eval_runtime": 8.7147, |
|
"eval_samples_per_second": 11.475, |
|
"eval_steps_per_second": 5.737, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_bleu": 58.2232, |
|
"eval_gen_len": 19.07, |
|
"eval_loss": 0.8903241157531738, |
|
"eval_runtime": 8.0705, |
|
"eval_samples_per_second": 12.391, |
|
"eval_steps_per_second": 6.195, |
|
"step": 2400 |
|
}, |
|
{ |
|
"epoch": 6.25, |
|
"learning_rate": 7.500000000000001e-06, |
|
"loss": 0.0178, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_bleu": 58.0224, |
|
"eval_gen_len": 19.22, |
|
"eval_loss": 0.9194047451019287, |
|
"eval_runtime": 8.0477, |
|
"eval_samples_per_second": 12.426, |
|
"eval_steps_per_second": 6.213, |
|
"step": 2800 |
|
}, |
|
{ |
|
"epoch": 7.5, |
|
"learning_rate": 5e-06, |
|
"loss": 0.0087, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_bleu": 58.8822, |
|
"eval_gen_len": 19.29, |
|
"eval_loss": 0.930671751499176, |
|
"eval_runtime": 7.9933, |
|
"eval_samples_per_second": 12.51, |
|
"eval_steps_per_second": 6.255, |
|
"step": 3200 |
|
}, |
|
{ |
|
"epoch": 8.75, |
|
"learning_rate": 2.5e-06, |
|
"loss": 0.0039, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_bleu": 59.1049, |
|
"eval_gen_len": 19.18, |
|
"eval_loss": 0.9447950124740601, |
|
"eval_runtime": 7.8845, |
|
"eval_samples_per_second": 12.683, |
|
"eval_steps_per_second": 6.342, |
|
"step": 3600 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"learning_rate": 0.0, |
|
"loss": 0.0027, |
|
"step": 4000 |
|
} |
|
], |
|
"max_steps": 4000, |
|
"num_train_epochs": 10, |
|
"total_flos": 199212586500096.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|