|
{ |
|
"best_metric": 1.093665599822998, |
|
"best_model_checkpoint": "/kaggle/output/checkpoint-8000", |
|
"epoch": 0.3259452411994785, |
|
"eval_steps": 1000, |
|
"global_step": 8000, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.0, |
|
"learning_rate": 2.7777777777777777e-11, |
|
"loss": 1.0722, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 2.7750000000000004e-08, |
|
"loss": 1.1407, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"eval_accuracy": 0.32914171656686625, |
|
"eval_loss": 1.1048731803894043, |
|
"eval_runtime": 57.3781, |
|
"eval_samples_per_second": 87.316, |
|
"eval_steps_per_second": 10.928, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 5.5527777777777784e-08, |
|
"loss": 1.1253, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"eval_accuracy": 0.3377245508982036, |
|
"eval_loss": 1.1033366918563843, |
|
"eval_runtime": 57.3237, |
|
"eval_samples_per_second": 87.398, |
|
"eval_steps_per_second": 10.938, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"learning_rate": 8.327777777777778e-08, |
|
"loss": 1.1179, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"eval_accuracy": 0.3502994011976048, |
|
"eval_loss": 1.104222059249878, |
|
"eval_runtime": 57.4527, |
|
"eval_samples_per_second": 87.202, |
|
"eval_steps_per_second": 10.913, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"learning_rate": 1.1105555555555557e-07, |
|
"loss": 1.1197, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"eval_accuracy": 0.3457085828343313, |
|
"eval_loss": 1.1000728607177734, |
|
"eval_runtime": 57.5257, |
|
"eval_samples_per_second": 87.091, |
|
"eval_steps_per_second": 10.899, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"learning_rate": 1.3883333333333335e-07, |
|
"loss": 1.1202, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"eval_accuracy": 0.3383233532934132, |
|
"eval_loss": 1.099381923675537, |
|
"eval_runtime": 57.825, |
|
"eval_samples_per_second": 86.641, |
|
"eval_steps_per_second": 10.843, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"learning_rate": 1.6661111111111112e-07, |
|
"loss": 1.1166, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"eval_accuracy": 0.35409181636726544, |
|
"eval_loss": 1.0975825786590576, |
|
"eval_runtime": 57.6509, |
|
"eval_samples_per_second": 86.902, |
|
"eval_steps_per_second": 10.876, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 0.29, |
|
"learning_rate": 1.9436111111111112e-07, |
|
"loss": 1.1126, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 0.29, |
|
"eval_accuracy": 0.35508982035928144, |
|
"eval_loss": 1.0957295894622803, |
|
"eval_runtime": 57.5423, |
|
"eval_samples_per_second": 87.066, |
|
"eval_steps_per_second": 10.896, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 0.33, |
|
"learning_rate": 2.2213888888888891e-07, |
|
"loss": 1.1091, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 0.33, |
|
"eval_accuracy": 0.36666666666666664, |
|
"eval_loss": 1.093665599822998, |
|
"eval_runtime": 57.2594, |
|
"eval_samples_per_second": 87.497, |
|
"eval_steps_per_second": 10.95, |
|
"step": 8000 |
|
} |
|
], |
|
"logging_steps": 1000, |
|
"max_steps": 10000000, |
|
"num_train_epochs": 408, |
|
"save_steps": 1000, |
|
"total_flos": 1.6722841042944e+16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|