|
{ |
|
"best_metric": 1.0937162637710571, |
|
"best_model_checkpoint": "/kaggle/output/checkpoint-13000", |
|
"epoch": 0.5296610169491526, |
|
"eval_steps": 1000, |
|
"global_step": 13000, |
|
"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": 1.1078, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 2.7750000000000004e-08, |
|
"loss": 1.128, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"eval_accuracy": 0.330938123752495, |
|
"eval_loss": 1.1083118915557861, |
|
"eval_runtime": 12.3979, |
|
"eval_samples_per_second": 404.1, |
|
"eval_steps_per_second": 50.573, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 5.5527777777777784e-08, |
|
"loss": 1.1164, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"eval_accuracy": 0.3323353293413174, |
|
"eval_loss": 1.102672815322876, |
|
"eval_runtime": 12.2861, |
|
"eval_samples_per_second": 407.778, |
|
"eval_steps_per_second": 51.033, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"learning_rate": 8.327777777777778e-08, |
|
"loss": 1.1158, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"eval_accuracy": 0.34211576846307384, |
|
"eval_loss": 1.1024774312973022, |
|
"eval_runtime": 12.3746, |
|
"eval_samples_per_second": 404.863, |
|
"eval_steps_per_second": 50.668, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"learning_rate": 1.1105555555555557e-07, |
|
"loss": 1.1115, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"eval_accuracy": 0.34890219560878244, |
|
"eval_loss": 1.1012382507324219, |
|
"eval_runtime": 12.5405, |
|
"eval_samples_per_second": 399.505, |
|
"eval_steps_per_second": 49.998, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"learning_rate": 1.3880555555555558e-07, |
|
"loss": 1.1141, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"eval_accuracy": 0.3534930139720559, |
|
"eval_loss": 1.1002192497253418, |
|
"eval_runtime": 12.3001, |
|
"eval_samples_per_second": 407.314, |
|
"eval_steps_per_second": 50.975, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"learning_rate": 1.6658333333333335e-07, |
|
"loss": 1.112, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"eval_accuracy": 0.3524950099800399, |
|
"eval_loss": 1.100056767463684, |
|
"eval_runtime": 12.4062, |
|
"eval_samples_per_second": 403.831, |
|
"eval_steps_per_second": 50.539, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 0.29, |
|
"learning_rate": 1.9433333333333334e-07, |
|
"loss": 1.1115, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 0.29, |
|
"eval_accuracy": 0.34331337325349304, |
|
"eval_loss": 1.098986029624939, |
|
"eval_runtime": 12.4456, |
|
"eval_samples_per_second": 402.551, |
|
"eval_steps_per_second": 50.379, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 0.33, |
|
"learning_rate": 2.2211111111111114e-07, |
|
"loss": 1.109, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 0.33, |
|
"eval_accuracy": 0.3347305389221557, |
|
"eval_loss": 1.098678469657898, |
|
"eval_runtime": 12.5978, |
|
"eval_samples_per_second": 397.688, |
|
"eval_steps_per_second": 49.771, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 0.37, |
|
"learning_rate": 2.4986111111111113e-07, |
|
"loss": 1.1117, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 0.37, |
|
"eval_accuracy": 0.34311377245508984, |
|
"eval_loss": 1.0984419584274292, |
|
"eval_runtime": 12.313, |
|
"eval_samples_per_second": 406.886, |
|
"eval_steps_per_second": 50.922, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 0.41, |
|
"learning_rate": 2.776388888888889e-07, |
|
"loss": 1.1081, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 0.41, |
|
"eval_accuracy": 0.35429141716566864, |
|
"eval_loss": 1.0968743562698364, |
|
"eval_runtime": 12.4088, |
|
"eval_samples_per_second": 403.744, |
|
"eval_steps_per_second": 50.528, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 0.45, |
|
"learning_rate": 3.053888888888889e-07, |
|
"loss": 1.107, |
|
"step": 11000 |
|
}, |
|
{ |
|
"epoch": 0.45, |
|
"eval_accuracy": 0.3722554890219561, |
|
"eval_loss": 1.0950665473937988, |
|
"eval_runtime": 12.5775, |
|
"eval_samples_per_second": 398.33, |
|
"eval_steps_per_second": 49.851, |
|
"step": 11000 |
|
}, |
|
{ |
|
"epoch": 0.49, |
|
"learning_rate": 3.331666666666667e-07, |
|
"loss": 1.1057, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 0.49, |
|
"eval_accuracy": 0.37544910179640717, |
|
"eval_loss": 1.0940738916397095, |
|
"eval_runtime": 12.5186, |
|
"eval_samples_per_second": 400.203, |
|
"eval_steps_per_second": 50.085, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 0.53, |
|
"learning_rate": 3.609166666666667e-07, |
|
"loss": 1.1069, |
|
"step": 13000 |
|
}, |
|
{ |
|
"epoch": 0.53, |
|
"eval_accuracy": 0.3401197604790419, |
|
"eval_loss": 1.0937162637710571, |
|
"eval_runtime": 12.2594, |
|
"eval_samples_per_second": 408.666, |
|
"eval_steps_per_second": 51.144, |
|
"step": 13000 |
|
} |
|
], |
|
"logging_steps": 1000, |
|
"max_steps": 10000000, |
|
"num_train_epochs": 408, |
|
"save_steps": 1000, |
|
"total_flos": 4529716199424000.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|