|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.0017792011386887287, |
|
"eval_steps": 5, |
|
"global_step": 30, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 5.930670462295763e-05, |
|
"eval_loss": 12.147173881530762, |
|
"eval_runtime": 290.7949, |
|
"eval_samples_per_second": 24.416, |
|
"eval_steps_per_second": 12.208, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.00017792011386887289, |
|
"grad_norm": 11.14660930633545, |
|
"learning_rate": 6e-05, |
|
"loss": 12.1674, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.0002965335231147881, |
|
"eval_loss": 11.853402137756348, |
|
"eval_runtime": 294.1314, |
|
"eval_samples_per_second": 24.139, |
|
"eval_steps_per_second": 12.069, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.00035584022773774577, |
|
"grad_norm": 10.97592830657959, |
|
"learning_rate": 0.00012, |
|
"loss": 11.9565, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.0005337603416066186, |
|
"grad_norm": 8.313521385192871, |
|
"learning_rate": 0.00018, |
|
"loss": 11.4876, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.0005930670462295762, |
|
"eval_loss": 10.954883575439453, |
|
"eval_runtime": 291.2838, |
|
"eval_samples_per_second": 24.375, |
|
"eval_steps_per_second": 12.187, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.0007116804554754915, |
|
"grad_norm": 7.10131311416626, |
|
"learning_rate": 0.00019510565162951537, |
|
"loss": 10.9684, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.0008896005693443643, |
|
"grad_norm": 5.987206935882568, |
|
"learning_rate": 0.00017071067811865476, |
|
"loss": 10.4647, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.0008896005693443643, |
|
"eval_loss": 10.177637100219727, |
|
"eval_runtime": 294.0051, |
|
"eval_samples_per_second": 24.149, |
|
"eval_steps_per_second": 12.075, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.0010675206832132373, |
|
"grad_norm": 5.192551612854004, |
|
"learning_rate": 0.00013090169943749476, |
|
"loss": 10.0547, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 0.0011861340924591525, |
|
"eval_loss": 9.714789390563965, |
|
"eval_runtime": 292.8811, |
|
"eval_samples_per_second": 24.242, |
|
"eval_steps_per_second": 12.121, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.0012454407970821102, |
|
"grad_norm": 4.78351354598999, |
|
"learning_rate": 8.435655349597689e-05, |
|
"loss": 9.7974, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 0.001423360910950983, |
|
"grad_norm": 4.210782527923584, |
|
"learning_rate": 4.12214747707527e-05, |
|
"loss": 9.623, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.0014826676155739406, |
|
"eval_loss": 9.522984504699707, |
|
"eval_runtime": 293.8342, |
|
"eval_samples_per_second": 24.163, |
|
"eval_steps_per_second": 12.082, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.0016012810248198558, |
|
"grad_norm": 3.7491424083709717, |
|
"learning_rate": 1.0899347581163221e-05, |
|
"loss": 9.5269, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 0.0017792011386887287, |
|
"grad_norm": 3.693744421005249, |
|
"learning_rate": 0.0, |
|
"loss": 9.4953, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.0017792011386887287, |
|
"eval_loss": 9.486776351928711, |
|
"eval_runtime": 293.7624, |
|
"eval_samples_per_second": 24.169, |
|
"eval_steps_per_second": 12.085, |
|
"step": 30 |
|
} |
|
], |
|
"logging_steps": 3, |
|
"max_steps": 30, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 10, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 7771550121984.0, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|