|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.18409849269359108, |
|
"global_step": 400, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 1.0305343511450381e-05, |
|
"loss": 13.0539, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 2.118320610687023e-05, |
|
"loss": 20.9649, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 3.206106870229007e-05, |
|
"loss": 21.1001, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 4.3511450381679383e-05, |
|
"loss": 5.5852, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 5.438931297709923e-05, |
|
"loss": 5.2002, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"eval_loss": 3.5950469970703125, |
|
"eval_runtime": 194.8685, |
|
"eval_samples_per_second": 24.853, |
|
"eval_steps_per_second": 0.78, |
|
"eval_wer": 1.0, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 6.583969465648854e-05, |
|
"loss": 3.281, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 7.495301487862176e-05, |
|
"loss": 3.3442, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 7.472983555207517e-05, |
|
"loss": 3.5229, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 7.449490994518402e-05, |
|
"loss": 3.089, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 7.427173061863743e-05, |
|
"loss": 3.482, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"eval_loss": 3.274627923965454, |
|
"eval_runtime": 194.5649, |
|
"eval_samples_per_second": 24.891, |
|
"eval_steps_per_second": 0.781, |
|
"eval_wer": 1.0, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 7.403680501174628e-05, |
|
"loss": 3.1517, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 0.11, |
|
"learning_rate": 7.380187940485512e-05, |
|
"loss": 3.1617, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"learning_rate": 7.357870007830852e-05, |
|
"loss": 3.2971, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 0.13, |
|
"learning_rate": 7.334377447141738e-05, |
|
"loss": 3.022, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 0.14, |
|
"learning_rate": 7.312059514487078e-05, |
|
"loss": 3.3322, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.14, |
|
"eval_loss": 3.0716073513031006, |
|
"eval_runtime": 196.1674, |
|
"eval_samples_per_second": 24.688, |
|
"eval_steps_per_second": 0.775, |
|
"eval_wer": 1.0, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.15, |
|
"learning_rate": 7.288566953797964e-05, |
|
"loss": 2.9964, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"learning_rate": 7.265074393108849e-05, |
|
"loss": 3.0777, |
|
"step": 340 |
|
}, |
|
{ |
|
"epoch": 0.17, |
|
"learning_rate": 7.242756460454189e-05, |
|
"loss": 3.2703, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 0.17, |
|
"learning_rate": 7.219263899765073e-05, |
|
"loss": 3.1161, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 0.18, |
|
"learning_rate": 7.195771339075958e-05, |
|
"loss": 3.2435, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.18, |
|
"eval_loss": 3.063333034515381, |
|
"eval_runtime": 190.5938, |
|
"eval_samples_per_second": 25.41, |
|
"eval_steps_per_second": 0.798, |
|
"eval_wer": 1.0, |
|
"step": 400 |
|
} |
|
], |
|
"max_steps": 6516, |
|
"num_train_epochs": 3, |
|
"total_flos": 7.629907237154058e+18, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|