|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.04678362573099415, |
|
"eval_steps": 5, |
|
"global_step": 30, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.0015594541910331384, |
|
"eval_loss": 1.508385419845581, |
|
"eval_runtime": 26.969, |
|
"eval_samples_per_second": 10.049, |
|
"eval_steps_per_second": 5.043, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.004678362573099415, |
|
"grad_norm": 0.39213576912879944, |
|
"learning_rate": 3e-05, |
|
"loss": 1.5605, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.007797270955165692, |
|
"eval_loss": 1.4978253841400146, |
|
"eval_runtime": 26.4506, |
|
"eval_samples_per_second": 10.246, |
|
"eval_steps_per_second": 5.142, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.00935672514619883, |
|
"grad_norm": 0.36995622515678406, |
|
"learning_rate": 6e-05, |
|
"loss": 1.4723, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.014035087719298246, |
|
"grad_norm": 0.3752123713493347, |
|
"learning_rate": 9e-05, |
|
"loss": 1.3854, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.015594541910331383, |
|
"eval_loss": 1.4332730770111084, |
|
"eval_runtime": 26.4493, |
|
"eval_samples_per_second": 10.246, |
|
"eval_steps_per_second": 5.142, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.01871345029239766, |
|
"grad_norm": 0.3255695104598999, |
|
"learning_rate": 9.755282581475769e-05, |
|
"loss": 1.3539, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.023391812865497075, |
|
"grad_norm": 0.2485169768333435, |
|
"learning_rate": 8.535533905932738e-05, |
|
"loss": 1.3517, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.023391812865497075, |
|
"eval_loss": 1.3882832527160645, |
|
"eval_runtime": 26.4826, |
|
"eval_samples_per_second": 10.233, |
|
"eval_steps_per_second": 5.135, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.028070175438596492, |
|
"grad_norm": 0.3311094343662262, |
|
"learning_rate": 6.545084971874738e-05, |
|
"loss": 1.4781, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 0.031189083820662766, |
|
"eval_loss": 1.3644858598709106, |
|
"eval_runtime": 26.4672, |
|
"eval_samples_per_second": 10.239, |
|
"eval_steps_per_second": 5.138, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.03274853801169591, |
|
"grad_norm": 0.25635430216789246, |
|
"learning_rate": 4.2178276747988446e-05, |
|
"loss": 1.3608, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 0.03742690058479532, |
|
"grad_norm": 0.25514256954193115, |
|
"learning_rate": 2.061073738537635e-05, |
|
"loss": 1.3215, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.03898635477582846, |
|
"eval_loss": 1.3476552963256836, |
|
"eval_runtime": 26.484, |
|
"eval_samples_per_second": 10.233, |
|
"eval_steps_per_second": 5.135, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.042105263157894736, |
|
"grad_norm": 0.20033127069473267, |
|
"learning_rate": 5.449673790581611e-06, |
|
"loss": 1.4183, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 0.04678362573099415, |
|
"grad_norm": 0.21877515316009521, |
|
"learning_rate": 0.0, |
|
"loss": 1.2605, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.04678362573099415, |
|
"eval_loss": 1.345063328742981, |
|
"eval_runtime": 26.458, |
|
"eval_samples_per_second": 10.243, |
|
"eval_steps_per_second": 5.14, |
|
"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": 1.7888418277097472e+16, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|