gigant's picture
Training in progress, step 2500
311a564
raw
history blame
13.5 kB
{
"best_metric": 5.654235369046776,
"best_model_checkpoint": "./checkpoint-2500",
"epoch": 5.020060180541625,
"global_step": 2500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.05,
"learning_rate": 4.2000000000000006e-07,
"loss": 2.983,
"step": 25
},
{
"epoch": 0.1,
"learning_rate": 9.200000000000001e-07,
"loss": 2.4843,
"step": 50
},
{
"epoch": 0.15,
"learning_rate": 1.42e-06,
"loss": 1.6336,
"step": 75
},
{
"epoch": 0.2,
"learning_rate": 1.9200000000000003e-06,
"loss": 1.1537,
"step": 100
},
{
"epoch": 0.25,
"learning_rate": 2.42e-06,
"loss": 0.8284,
"step": 125
},
{
"epoch": 0.3,
"learning_rate": 2.92e-06,
"loss": 0.2948,
"step": 150
},
{
"epoch": 0.35,
"learning_rate": 3.4200000000000007e-06,
"loss": 0.1898,
"step": 175
},
{
"epoch": 0.4,
"learning_rate": 3.920000000000001e-06,
"loss": 0.1784,
"step": 200
},
{
"epoch": 0.45,
"learning_rate": 4.42e-06,
"loss": 0.1658,
"step": 225
},
{
"epoch": 0.5,
"learning_rate": 4.92e-06,
"loss": 0.1603,
"step": 250
},
{
"epoch": 0.55,
"learning_rate": 5.420000000000001e-06,
"loss": 0.1459,
"step": 275
},
{
"epoch": 0.6,
"learning_rate": 5.92e-06,
"loss": 0.1448,
"step": 300
},
{
"epoch": 0.65,
"learning_rate": 6.42e-06,
"loss": 0.1413,
"step": 325
},
{
"epoch": 0.7,
"learning_rate": 6.92e-06,
"loss": 0.1349,
"step": 350
},
{
"epoch": 0.75,
"learning_rate": 7.420000000000001e-06,
"loss": 0.1372,
"step": 375
},
{
"epoch": 0.8,
"learning_rate": 7.92e-06,
"loss": 0.1304,
"step": 400
},
{
"epoch": 0.85,
"learning_rate": 8.42e-06,
"loss": 0.128,
"step": 425
},
{
"epoch": 0.9,
"learning_rate": 8.920000000000001e-06,
"loss": 0.1228,
"step": 450
},
{
"epoch": 0.95,
"learning_rate": 9.42e-06,
"loss": 0.1198,
"step": 475
},
{
"epoch": 1.0,
"learning_rate": 9.920000000000002e-06,
"loss": 0.1176,
"step": 500
},
{
"epoch": 1.0,
"eval_loss": 0.10957513749599457,
"eval_runtime": 2168.1929,
"eval_samples_per_second": 1.78,
"eval_steps_per_second": 0.056,
"eval_wer": 10.749416177199066,
"step": 500
},
{
"epoch": 1.05,
"learning_rate": 9.953333333333333e-06,
"loss": 0.0829,
"step": 525
},
{
"epoch": 1.1,
"learning_rate": 9.89777777777778e-06,
"loss": 0.0721,
"step": 550
},
{
"epoch": 1.15,
"learning_rate": 9.842222222222223e-06,
"loss": 0.0747,
"step": 575
},
{
"epoch": 1.2,
"learning_rate": 9.786666666666667e-06,
"loss": 0.0781,
"step": 600
},
{
"epoch": 1.25,
"learning_rate": 9.731111111111113e-06,
"loss": 0.0769,
"step": 625
},
{
"epoch": 1.3,
"learning_rate": 9.675555555555555e-06,
"loss": 0.0755,
"step": 650
},
{
"epoch": 1.36,
"learning_rate": 9.620000000000001e-06,
"loss": 0.0805,
"step": 675
},
{
"epoch": 1.41,
"learning_rate": 9.564444444444445e-06,
"loss": 0.0733,
"step": 700
},
{
"epoch": 1.46,
"learning_rate": 9.508888888888889e-06,
"loss": 0.0696,
"step": 725
},
{
"epoch": 1.51,
"learning_rate": 9.453333333333335e-06,
"loss": 0.0682,
"step": 750
},
{
"epoch": 1.56,
"learning_rate": 9.397777777777779e-06,
"loss": 0.0727,
"step": 775
},
{
"epoch": 1.61,
"learning_rate": 9.342222222222223e-06,
"loss": 0.0724,
"step": 800
},
{
"epoch": 1.66,
"learning_rate": 9.286666666666667e-06,
"loss": 0.0688,
"step": 825
},
{
"epoch": 1.71,
"learning_rate": 9.231111111111111e-06,
"loss": 0.0672,
"step": 850
},
{
"epoch": 1.76,
"learning_rate": 9.175555555555557e-06,
"loss": 0.0705,
"step": 875
},
{
"epoch": 1.81,
"learning_rate": 9.12e-06,
"loss": 0.0714,
"step": 900
},
{
"epoch": 1.86,
"learning_rate": 9.064444444444447e-06,
"loss": 0.0635,
"step": 925
},
{
"epoch": 1.91,
"learning_rate": 9.008888888888889e-06,
"loss": 0.0639,
"step": 950
},
{
"epoch": 1.96,
"learning_rate": 8.953333333333335e-06,
"loss": 0.0728,
"step": 975
},
{
"epoch": 2.01,
"learning_rate": 8.897777777777779e-06,
"loss": 0.0605,
"step": 1000
},
{
"epoch": 2.01,
"eval_loss": 0.08087032288312912,
"eval_runtime": 2054.0453,
"eval_samples_per_second": 1.879,
"eval_steps_per_second": 0.059,
"eval_wer": 7.904606892647371,
"step": 1000
},
{
"epoch": 2.06,
"learning_rate": 8.842222222222223e-06,
"loss": 0.0319,
"step": 1025
},
{
"epoch": 2.11,
"learning_rate": 8.786666666666668e-06,
"loss": 0.0327,
"step": 1050
},
{
"epoch": 2.16,
"learning_rate": 8.73111111111111e-06,
"loss": 0.0352,
"step": 1075
},
{
"epoch": 2.21,
"learning_rate": 8.675555555555556e-06,
"loss": 0.0363,
"step": 1100
},
{
"epoch": 2.26,
"learning_rate": 8.62e-06,
"loss": 0.0327,
"step": 1125
},
{
"epoch": 2.31,
"learning_rate": 8.564444444444445e-06,
"loss": 0.0329,
"step": 1150
},
{
"epoch": 2.36,
"learning_rate": 8.50888888888889e-06,
"loss": 0.0305,
"step": 1175
},
{
"epoch": 2.41,
"learning_rate": 8.453333333333334e-06,
"loss": 0.0294,
"step": 1200
},
{
"epoch": 2.46,
"learning_rate": 8.397777777777778e-06,
"loss": 0.0304,
"step": 1225
},
{
"epoch": 2.51,
"learning_rate": 8.342222222222222e-06,
"loss": 0.0334,
"step": 1250
},
{
"epoch": 2.56,
"learning_rate": 8.286666666666668e-06,
"loss": 0.0326,
"step": 1275
},
{
"epoch": 2.61,
"learning_rate": 8.231111111111112e-06,
"loss": 0.0312,
"step": 1300
},
{
"epoch": 2.66,
"learning_rate": 8.175555555555556e-06,
"loss": 0.0291,
"step": 1325
},
{
"epoch": 2.71,
"learning_rate": 8.120000000000002e-06,
"loss": 0.0303,
"step": 1350
},
{
"epoch": 2.76,
"learning_rate": 8.064444444444444e-06,
"loss": 0.0308,
"step": 1375
},
{
"epoch": 2.81,
"learning_rate": 8.00888888888889e-06,
"loss": 0.0282,
"step": 1400
},
{
"epoch": 2.86,
"learning_rate": 7.953333333333334e-06,
"loss": 0.0317,
"step": 1425
},
{
"epoch": 2.91,
"learning_rate": 7.897777777777778e-06,
"loss": 0.028,
"step": 1450
},
{
"epoch": 2.96,
"learning_rate": 7.842222222222224e-06,
"loss": 0.0331,
"step": 1475
},
{
"epoch": 3.01,
"learning_rate": 7.786666666666666e-06,
"loss": 0.0241,
"step": 1500
},
{
"epoch": 3.01,
"eval_loss": 0.07452740520238876,
"eval_runtime": 2048.6454,
"eval_samples_per_second": 1.884,
"eval_steps_per_second": 0.059,
"eval_wer": 6.864340810982945,
"step": 1500
},
{
"epoch": 3.06,
"learning_rate": 7.731111111111112e-06,
"loss": 0.0167,
"step": 1525
},
{
"epoch": 3.11,
"learning_rate": 7.675555555555556e-06,
"loss": 0.0163,
"step": 1550
},
{
"epoch": 3.16,
"learning_rate": 7.620000000000001e-06,
"loss": 0.0149,
"step": 1575
},
{
"epoch": 3.21,
"learning_rate": 7.564444444444446e-06,
"loss": 0.0155,
"step": 1600
},
{
"epoch": 3.26,
"learning_rate": 7.50888888888889e-06,
"loss": 0.0145,
"step": 1625
},
{
"epoch": 3.31,
"learning_rate": 7.453333333333334e-06,
"loss": 0.0157,
"step": 1650
},
{
"epoch": 3.36,
"learning_rate": 7.3977777777777786e-06,
"loss": 0.0161,
"step": 1675
},
{
"epoch": 3.41,
"learning_rate": 7.342222222222223e-06,
"loss": 0.0154,
"step": 1700
},
{
"epoch": 3.46,
"learning_rate": 7.2866666666666675e-06,
"loss": 0.0149,
"step": 1725
},
{
"epoch": 3.51,
"learning_rate": 7.231111111111112e-06,
"loss": 0.0157,
"step": 1750
},
{
"epoch": 3.56,
"learning_rate": 7.1755555555555556e-06,
"loss": 0.0147,
"step": 1775
},
{
"epoch": 3.61,
"learning_rate": 7.1200000000000004e-06,
"loss": 0.0153,
"step": 1800
},
{
"epoch": 3.66,
"learning_rate": 7.0644444444444445e-06,
"loss": 0.0155,
"step": 1825
},
{
"epoch": 3.71,
"learning_rate": 7.008888888888889e-06,
"loss": 0.0147,
"step": 1850
},
{
"epoch": 3.76,
"learning_rate": 6.953333333333334e-06,
"loss": 0.015,
"step": 1875
},
{
"epoch": 3.81,
"learning_rate": 6.897777777777779e-06,
"loss": 0.0151,
"step": 1900
},
{
"epoch": 3.86,
"learning_rate": 6.842222222222222e-06,
"loss": 0.015,
"step": 1925
},
{
"epoch": 3.91,
"learning_rate": 6.786666666666667e-06,
"loss": 0.015,
"step": 1950
},
{
"epoch": 3.96,
"learning_rate": 6.731111111111111e-06,
"loss": 0.0164,
"step": 1975
},
{
"epoch": 4.02,
"learning_rate": 6.675555555555556e-06,
"loss": 0.0124,
"step": 2000
},
{
"epoch": 4.02,
"eval_loss": 0.06861147284507751,
"eval_runtime": 2053.7472,
"eval_samples_per_second": 1.879,
"eval_steps_per_second": 0.059,
"eval_wer": 5.767461609227938,
"step": 2000
},
{
"epoch": 4.07,
"learning_rate": 6.620000000000001e-06,
"loss": 0.0087,
"step": 2025
},
{
"epoch": 4.12,
"learning_rate": 6.564444444444446e-06,
"loss": 0.0087,
"step": 2050
},
{
"epoch": 4.17,
"learning_rate": 6.508888888888889e-06,
"loss": 0.0079,
"step": 2075
},
{
"epoch": 4.22,
"learning_rate": 6.453333333333334e-06,
"loss": 0.007,
"step": 2100
},
{
"epoch": 4.27,
"learning_rate": 6.397777777777778e-06,
"loss": 0.0066,
"step": 2125
},
{
"epoch": 4.32,
"learning_rate": 6.342222222222223e-06,
"loss": 0.008,
"step": 2150
},
{
"epoch": 4.37,
"learning_rate": 6.286666666666668e-06,
"loss": 0.0083,
"step": 2175
},
{
"epoch": 4.42,
"learning_rate": 6.231111111111111e-06,
"loss": 0.0075,
"step": 2200
},
{
"epoch": 4.47,
"learning_rate": 6.175555555555556e-06,
"loss": 0.0071,
"step": 2225
},
{
"epoch": 4.52,
"learning_rate": 6.120000000000001e-06,
"loss": 0.0066,
"step": 2250
},
{
"epoch": 4.57,
"learning_rate": 6.064444444444445e-06,
"loss": 0.0065,
"step": 2275
},
{
"epoch": 4.62,
"learning_rate": 6.00888888888889e-06,
"loss": 0.0076,
"step": 2300
},
{
"epoch": 4.67,
"learning_rate": 5.9533333333333345e-06,
"loss": 0.0072,
"step": 2325
},
{
"epoch": 4.72,
"learning_rate": 5.897777777777778e-06,
"loss": 0.0061,
"step": 2350
},
{
"epoch": 4.77,
"learning_rate": 5.8422222222222226e-06,
"loss": 0.0074,
"step": 2375
},
{
"epoch": 4.82,
"learning_rate": 5.7866666666666674e-06,
"loss": 0.007,
"step": 2400
},
{
"epoch": 4.87,
"learning_rate": 5.7311111111111115e-06,
"loss": 0.0082,
"step": 2425
},
{
"epoch": 4.92,
"learning_rate": 5.675555555555556e-06,
"loss": 0.0073,
"step": 2450
},
{
"epoch": 4.97,
"learning_rate": 5.620000000000001e-06,
"loss": 0.0073,
"step": 2475
},
{
"epoch": 5.02,
"learning_rate": 5.5644444444444444e-06,
"loss": 0.0058,
"step": 2500
},
{
"epoch": 5.02,
"eval_loss": 0.06784354150295258,
"eval_runtime": 2168.2344,
"eval_samples_per_second": 1.78,
"eval_steps_per_second": 0.056,
"eval_wer": 5.654235369046776,
"step": 2500
}
],
"max_steps": 5000,
"num_train_epochs": 11,
"total_flos": 1.633018882277376e+20,
"trial_name": null,
"trial_params": null
}