gigant's picture
End of training
8859789
raw
history blame
5.27 kB
{
"best_metric": 15.703064185124902,
"best_model_checkpoint": "./checkpoint-1000",
"epoch": 5.026,
"global_step": 1000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.01,
"learning_rate": 4.2000000000000006e-07,
"loss": 4.163,
"step": 25
},
{
"epoch": 0.01,
"learning_rate": 9.200000000000001e-07,
"loss": 3.2393,
"step": 50
},
{
"epoch": 0.01,
"learning_rate": 1.42e-06,
"loss": 2.1044,
"step": 75
},
{
"epoch": 0.02,
"learning_rate": 1.9200000000000003e-06,
"loss": 1.3638,
"step": 100
},
{
"epoch": 0.03,
"learning_rate": 2.42e-06,
"loss": 1.1844,
"step": 125
},
{
"epoch": 0.03,
"learning_rate": 2.92e-06,
"loss": 1.009,
"step": 150
},
{
"epoch": 1.0,
"learning_rate": 3.4200000000000007e-06,
"loss": 0.8762,
"step": 175
},
{
"epoch": 1.01,
"learning_rate": 3.920000000000001e-06,
"loss": 0.8188,
"step": 200
},
{
"epoch": 1.01,
"learning_rate": 4.42e-06,
"loss": 0.6994,
"step": 225
},
{
"epoch": 1.02,
"learning_rate": 4.92e-06,
"loss": 0.3518,
"step": 250
},
{
"epoch": 1.02,
"learning_rate": 5.420000000000001e-06,
"loss": 0.2302,
"step": 275
},
{
"epoch": 1.03,
"learning_rate": 5.92e-06,
"loss": 0.2269,
"step": 300
},
{
"epoch": 1.03,
"learning_rate": 6.42e-06,
"loss": 0.1694,
"step": 325
},
{
"epoch": 2.0,
"learning_rate": 6.92e-06,
"loss": 0.1352,
"step": 350
},
{
"epoch": 2.01,
"learning_rate": 7.420000000000001e-06,
"loss": 0.1625,
"step": 375
},
{
"epoch": 2.01,
"learning_rate": 7.92e-06,
"loss": 0.1407,
"step": 400
},
{
"epoch": 2.02,
"learning_rate": 8.42e-06,
"loss": 0.1125,
"step": 425
},
{
"epoch": 2.02,
"learning_rate": 8.920000000000001e-06,
"loss": 0.1035,
"step": 450
},
{
"epoch": 2.03,
"learning_rate": 9.42e-06,
"loss": 0.1027,
"step": 475
},
{
"epoch": 2.03,
"learning_rate": 9.920000000000002e-06,
"loss": 0.0734,
"step": 500
},
{
"epoch": 3.0,
"learning_rate": 9.953333333333333e-06,
"loss": 0.0636,
"step": 525
},
{
"epoch": 3.01,
"learning_rate": 9.89777777777778e-06,
"loss": 0.0785,
"step": 550
},
{
"epoch": 3.01,
"learning_rate": 9.842222222222223e-06,
"loss": 0.0641,
"step": 575
},
{
"epoch": 3.02,
"learning_rate": 9.786666666666667e-06,
"loss": 0.053,
"step": 600
},
{
"epoch": 3.02,
"learning_rate": 9.731111111111113e-06,
"loss": 0.0498,
"step": 625
},
{
"epoch": 3.03,
"learning_rate": 9.675555555555555e-06,
"loss": 0.0464,
"step": 650
},
{
"epoch": 3.03,
"learning_rate": 9.620000000000001e-06,
"loss": 0.0349,
"step": 675
},
{
"epoch": 4.0,
"learning_rate": 9.564444444444445e-06,
"loss": 0.0306,
"step": 700
},
{
"epoch": 4.01,
"learning_rate": 9.508888888888889e-06,
"loss": 0.037,
"step": 725
},
{
"epoch": 4.01,
"learning_rate": 9.453333333333335e-06,
"loss": 0.0337,
"step": 750
},
{
"epoch": 4.02,
"learning_rate": 9.397777777777779e-06,
"loss": 0.0263,
"step": 775
},
{
"epoch": 4.02,
"learning_rate": 9.342222222222223e-06,
"loss": 0.0279,
"step": 800
},
{
"epoch": 4.03,
"learning_rate": 9.286666666666667e-06,
"loss": 0.0247,
"step": 825
},
{
"epoch": 4.03,
"learning_rate": 9.231111111111111e-06,
"loss": 0.0171,
"step": 850
},
{
"epoch": 5.0,
"learning_rate": 9.175555555555557e-06,
"loss": 0.017,
"step": 875
},
{
"epoch": 5.01,
"learning_rate": 9.12e-06,
"loss": 0.0213,
"step": 900
},
{
"epoch": 5.01,
"learning_rate": 9.064444444444447e-06,
"loss": 0.0173,
"step": 925
},
{
"epoch": 5.02,
"learning_rate": 9.008888888888889e-06,
"loss": 0.0156,
"step": 950
},
{
"epoch": 5.02,
"learning_rate": 8.953333333333335e-06,
"loss": 0.0162,
"step": 975
},
{
"epoch": 5.03,
"learning_rate": 8.897777777777779e-06,
"loss": 0.0137,
"step": 1000
},
{
"epoch": 5.03,
"eval_loss": 0.2068425565958023,
"eval_runtime": 1070.693,
"eval_samples_per_second": 3.604,
"eval_steps_per_second": 0.451,
"eval_wer": 15.703064185124902,
"step": 1000
}
],
"max_steps": 5000,
"num_train_epochs": 9223372036854775807,
"total_flos": 1.84290636644352e+19,
"trial_name": null,
"trial_params": null
}