elsayedissa's picture
Training in progress, step 1000
22fd223
raw
history blame
5.34 kB
{
"best_metric": 0.07856032524213799,
"best_model_checkpoint": "./wav2vec2-xls-r-300m-ar/checkpoint-1000",
"epoch": 8.849557522123893,
"global_step": 1000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.22,
"learning_rate": 1.4999999999999999e-05,
"loss": 9.1248,
"step": 25
},
{
"epoch": 0.44,
"learning_rate": 2.9999999999999997e-05,
"loss": 6.6739,
"step": 50
},
{
"epoch": 0.66,
"learning_rate": 4.4999999999999996e-05,
"loss": 4.632,
"step": 75
},
{
"epoch": 0.88,
"learning_rate": 5.9999999999999995e-05,
"loss": 3.917,
"step": 100
},
{
"epoch": 1.11,
"learning_rate": 7.5e-05,
"loss": 3.3449,
"step": 125
},
{
"epoch": 1.33,
"learning_rate": 8.999999999999999e-05,
"loss": 2.8486,
"step": 150
},
{
"epoch": 1.55,
"learning_rate": 0.00010499999999999999,
"loss": 2.5717,
"step": 175
},
{
"epoch": 1.77,
"learning_rate": 0.00011999999999999999,
"loss": 2.3746,
"step": 200
},
{
"epoch": 1.99,
"learning_rate": 0.000135,
"loss": 2.2744,
"step": 225
},
{
"epoch": 2.21,
"learning_rate": 0.00015,
"loss": 2.0759,
"step": 250
},
{
"epoch": 2.43,
"learning_rate": 0.000165,
"loss": 1.7813,
"step": 275
},
{
"epoch": 2.65,
"learning_rate": 0.00017999999999999998,
"loss": 1.2002,
"step": 300
},
{
"epoch": 2.88,
"learning_rate": 0.000195,
"loss": 0.7684,
"step": 325
},
{
"epoch": 3.1,
"learning_rate": 0.00020999999999999998,
"loss": 0.527,
"step": 350
},
{
"epoch": 3.32,
"learning_rate": 0.000225,
"loss": 0.3734,
"step": 375
},
{
"epoch": 3.54,
"learning_rate": 0.00023999999999999998,
"loss": 0.3184,
"step": 400
},
{
"epoch": 3.76,
"learning_rate": 0.00025499999999999996,
"loss": 0.2822,
"step": 425
},
{
"epoch": 3.98,
"learning_rate": 0.00027,
"loss": 0.2074,
"step": 450
},
{
"epoch": 4.2,
"learning_rate": 0.000285,
"loss": 0.1985,
"step": 475
},
{
"epoch": 4.42,
"learning_rate": 0.0003,
"loss": 0.1917,
"step": 500
},
{
"epoch": 4.65,
"learning_rate": 0.00029921052631578946,
"loss": 0.1853,
"step": 525
},
{
"epoch": 4.87,
"learning_rate": 0.00029842105263157894,
"loss": 0.1828,
"step": 550
},
{
"epoch": 5.09,
"learning_rate": 0.00029763157894736837,
"loss": 0.1715,
"step": 575
},
{
"epoch": 5.31,
"learning_rate": 0.00029684210526315785,
"loss": 0.1457,
"step": 600
},
{
"epoch": 5.53,
"learning_rate": 0.00029605263157894733,
"loss": 0.1247,
"step": 625
},
{
"epoch": 5.75,
"learning_rate": 0.0002952631578947368,
"loss": 0.1266,
"step": 650
},
{
"epoch": 5.97,
"learning_rate": 0.0002944736842105263,
"loss": 0.117,
"step": 675
},
{
"epoch": 6.19,
"learning_rate": 0.0002936842105263158,
"loss": 0.117,
"step": 700
},
{
"epoch": 6.42,
"learning_rate": 0.00029289473684210527,
"loss": 0.125,
"step": 725
},
{
"epoch": 6.64,
"learning_rate": 0.0002921052631578947,
"loss": 0.1084,
"step": 750
},
{
"epoch": 6.86,
"learning_rate": 0.0002913157894736842,
"loss": 0.1178,
"step": 775
},
{
"epoch": 7.08,
"learning_rate": 0.00029052631578947366,
"loss": 0.1193,
"step": 800
},
{
"epoch": 7.3,
"learning_rate": 0.00028973684210526314,
"loss": 0.0925,
"step": 825
},
{
"epoch": 7.52,
"learning_rate": 0.00028894736842105263,
"loss": 0.085,
"step": 850
},
{
"epoch": 7.74,
"learning_rate": 0.00028815789473684206,
"loss": 0.0865,
"step": 875
},
{
"epoch": 7.96,
"learning_rate": 0.00028736842105263154,
"loss": 0.0811,
"step": 900
},
{
"epoch": 8.19,
"learning_rate": 0.000286578947368421,
"loss": 0.0835,
"step": 925
},
{
"epoch": 8.41,
"learning_rate": 0.0002857894736842105,
"loss": 0.0886,
"step": 950
},
{
"epoch": 8.63,
"learning_rate": 0.000285,
"loss": 0.0991,
"step": 975
},
{
"epoch": 8.85,
"learning_rate": 0.0002842105263157894,
"loss": 0.0793,
"step": 1000
},
{
"epoch": 8.85,
"eval_loss": 0.16262491047382355,
"eval_runtime": 11.6481,
"eval_samples_per_second": 8.585,
"eval_steps_per_second": 1.116,
"eval_wer": 0.07856032524213799,
"step": 1000
}
],
"max_steps": 10000,
"num_train_epochs": 89,
"total_flos": 3.9707238818974925e+18,
"trial_name": null,
"trial_params": null
}