|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 3.0, |
|
"eval_steps": 500, |
|
"global_step": 2187, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.14, |
|
"learning_rate": 0.00048, |
|
"loss": 7.0366, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.27, |
|
"learning_rate": 0.0004933240611961058, |
|
"loss": 0.4467, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.41, |
|
"learning_rate": 0.00048643949930458967, |
|
"loss": 0.3946, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.55, |
|
"learning_rate": 0.0004794853963838665, |
|
"loss": 0.399, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.69, |
|
"learning_rate": 0.0004726008344923505, |
|
"loss": 0.3696, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.69, |
|
"eval_loss": 0.3043254017829895, |
|
"eval_runtime": 65.1553, |
|
"eval_samples_per_second": 11.664, |
|
"eval_steps_per_second": 1.458, |
|
"eval_wer": 0.265993265993266, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.82, |
|
"learning_rate": 0.0004656467315716273, |
|
"loss": 0.3677, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"learning_rate": 0.00045869262865090403, |
|
"loss": 0.3534, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 1.1, |
|
"learning_rate": 0.00045173852573018083, |
|
"loss": 0.34, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 1.23, |
|
"learning_rate": 0.0004447844228094576, |
|
"loss": 0.3428, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 1.37, |
|
"learning_rate": 0.0004378998609179416, |
|
"loss": 0.3533, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 1.37, |
|
"eval_loss": 0.27337372303009033, |
|
"eval_runtime": 65.7997, |
|
"eval_samples_per_second": 11.55, |
|
"eval_steps_per_second": 1.444, |
|
"eval_wer": 0.23931623931623933, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 1.51, |
|
"learning_rate": 0.00043094575799721834, |
|
"loss": 0.336, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 1.65, |
|
"learning_rate": 0.00042399165507649514, |
|
"loss": 0.3453, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 1.78, |
|
"learning_rate": 0.00041703755215577194, |
|
"loss": 0.342, |
|
"step": 1300 |
|
}, |
|
{ |
|
"epoch": 1.92, |
|
"learning_rate": 0.0004100834492350487, |
|
"loss": 0.3232, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 2.06, |
|
"learning_rate": 0.0004031293463143255, |
|
"loss": 0.3419, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 2.06, |
|
"eval_loss": 0.2687598764896393, |
|
"eval_runtime": 66.7716, |
|
"eval_samples_per_second": 11.382, |
|
"eval_steps_per_second": 1.423, |
|
"eval_wer": 0.23776223776223776, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 2.19, |
|
"learning_rate": 0.0003961752433936022, |
|
"loss": 0.3045, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 2.33, |
|
"learning_rate": 0.00038922114047287897, |
|
"loss": 0.327, |
|
"step": 1700 |
|
}, |
|
{ |
|
"epoch": 2.47, |
|
"learning_rate": 0.0003822670375521558, |
|
"loss": 0.3162, |
|
"step": 1800 |
|
}, |
|
{ |
|
"epoch": 2.61, |
|
"learning_rate": 0.00037531293463143256, |
|
"loss": 0.3111, |
|
"step": 1900 |
|
}, |
|
{ |
|
"epoch": 2.74, |
|
"learning_rate": 0.0003684283727399166, |
|
"loss": 0.3399, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 2.74, |
|
"eval_loss": 0.2612040042877197, |
|
"eval_runtime": 66.305, |
|
"eval_samples_per_second": 11.462, |
|
"eval_steps_per_second": 1.433, |
|
"eval_wer": 0.22895622895622897, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 2.88, |
|
"learning_rate": 0.00036147426981919333, |
|
"loss": 0.3113, |
|
"step": 2100 |
|
} |
|
], |
|
"logging_steps": 100, |
|
"max_steps": 7290, |
|
"num_train_epochs": 10, |
|
"save_steps": 500, |
|
"total_flos": 1.5151017238545934e+19, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|