steja's picture
persian whisper small ft
5bf5f2f
raw
history blame
13.4 kB
{
"best_metric": 41.53041112622491,
"best_model_checkpoint": "./whisper-small-Persian/checkpoint-2500",
"epoch": 7.786936236391913,
"global_step": 2500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.08,
"learning_rate": 4.4e-08,
"loss": 1.4232,
"step": 25
},
{
"epoch": 0.16,
"learning_rate": 9.4e-08,
"loss": 1.4027,
"step": 50
},
{
"epoch": 0.23,
"learning_rate": 1.44e-07,
"loss": 1.3731,
"step": 75
},
{
"epoch": 0.31,
"learning_rate": 1.94e-07,
"loss": 1.2969,
"step": 100
},
{
"epoch": 0.39,
"learning_rate": 2.4399999999999996e-07,
"loss": 1.1964,
"step": 125
},
{
"epoch": 0.47,
"learning_rate": 2.9399999999999996e-07,
"loss": 1.0995,
"step": 150
},
{
"epoch": 0.54,
"learning_rate": 3.4399999999999996e-07,
"loss": 1.0068,
"step": 175
},
{
"epoch": 0.62,
"learning_rate": 3.94e-07,
"loss": 0.8949,
"step": 200
},
{
"epoch": 0.7,
"learning_rate": 4.44e-07,
"loss": 0.8521,
"step": 225
},
{
"epoch": 0.78,
"learning_rate": 4.94e-07,
"loss": 0.7694,
"step": 250
},
{
"epoch": 0.86,
"learning_rate": 5.44e-07,
"loss": 0.7196,
"step": 275
},
{
"epoch": 0.93,
"learning_rate": 5.939999999999999e-07,
"loss": 0.6902,
"step": 300
},
{
"epoch": 1.01,
"learning_rate": 6.44e-07,
"loss": 0.6748,
"step": 325
},
{
"epoch": 1.09,
"learning_rate": 6.939999999999999e-07,
"loss": 0.6247,
"step": 350
},
{
"epoch": 1.17,
"learning_rate": 7.44e-07,
"loss": 0.63,
"step": 375
},
{
"epoch": 1.25,
"learning_rate": 7.94e-07,
"loss": 0.5899,
"step": 400
},
{
"epoch": 1.32,
"learning_rate": 8.439999999999999e-07,
"loss": 0.5628,
"step": 425
},
{
"epoch": 1.4,
"learning_rate": 8.939999999999999e-07,
"loss": 0.5634,
"step": 450
},
{
"epoch": 1.48,
"learning_rate": 9.439999999999999e-07,
"loss": 0.5549,
"step": 475
},
{
"epoch": 1.56,
"learning_rate": 9.94e-07,
"loss": 0.5533,
"step": 500
},
{
"epoch": 1.56,
"eval_loss": 0.7044046521186829,
"eval_runtime": 1265.1903,
"eval_samples_per_second": 8.132,
"eval_steps_per_second": 0.127,
"eval_wer": 54.54987091580379,
"step": 500
},
{
"epoch": 1.63,
"learning_rate": 9.95111111111111e-07,
"loss": 0.5329,
"step": 525
},
{
"epoch": 1.71,
"learning_rate": 9.895555555555554e-07,
"loss": 0.5116,
"step": 550
},
{
"epoch": 1.79,
"learning_rate": 9.84e-07,
"loss": 0.511,
"step": 575
},
{
"epoch": 1.87,
"learning_rate": 9.784444444444444e-07,
"loss": 0.4963,
"step": 600
},
{
"epoch": 1.95,
"learning_rate": 9.728888888888888e-07,
"loss": 0.5177,
"step": 625
},
{
"epoch": 2.02,
"learning_rate": 9.673333333333332e-07,
"loss": 0.4947,
"step": 650
},
{
"epoch": 2.1,
"learning_rate": 9.617777777777776e-07,
"loss": 0.4529,
"step": 675
},
{
"epoch": 2.18,
"learning_rate": 9.562222222222223e-07,
"loss": 0.4543,
"step": 700
},
{
"epoch": 2.26,
"learning_rate": 9.506666666666667e-07,
"loss": 0.4478,
"step": 725
},
{
"epoch": 2.34,
"learning_rate": 9.451111111111111e-07,
"loss": 0.4421,
"step": 750
},
{
"epoch": 2.41,
"learning_rate": 9.395555555555556e-07,
"loss": 0.4465,
"step": 775
},
{
"epoch": 2.49,
"learning_rate": 9.34e-07,
"loss": 0.4164,
"step": 800
},
{
"epoch": 2.57,
"learning_rate": 9.284444444444444e-07,
"loss": 0.4291,
"step": 825
},
{
"epoch": 2.65,
"learning_rate": 9.228888888888888e-07,
"loss": 0.4149,
"step": 850
},
{
"epoch": 2.72,
"learning_rate": 9.173333333333333e-07,
"loss": 0.4242,
"step": 875
},
{
"epoch": 2.8,
"learning_rate": 9.117777777777778e-07,
"loss": 0.4329,
"step": 900
},
{
"epoch": 2.88,
"learning_rate": 9.062222222222222e-07,
"loss": 0.4165,
"step": 925
},
{
"epoch": 2.96,
"learning_rate": 9.006666666666666e-07,
"loss": 0.4166,
"step": 950
},
{
"epoch": 3.04,
"learning_rate": 8.95111111111111e-07,
"loss": 0.409,
"step": 975
},
{
"epoch": 3.12,
"learning_rate": 8.895555555555555e-07,
"loss": 0.3951,
"step": 1000
},
{
"epoch": 3.12,
"eval_loss": 0.5893104076385498,
"eval_runtime": 1326.5175,
"eval_samples_per_second": 7.756,
"eval_steps_per_second": 0.121,
"eval_wer": 47.521028231962916,
"step": 1000
},
{
"epoch": 3.19,
"learning_rate": 8.839999999999999e-07,
"loss": 0.3808,
"step": 1025
},
{
"epoch": 3.27,
"learning_rate": 8.784444444444444e-07,
"loss": 0.3786,
"step": 1050
},
{
"epoch": 3.35,
"learning_rate": 8.728888888888889e-07,
"loss": 0.3811,
"step": 1075
},
{
"epoch": 3.43,
"learning_rate": 8.673333333333332e-07,
"loss": 0.3644,
"step": 1100
},
{
"epoch": 3.5,
"learning_rate": 8.617777777777777e-07,
"loss": 0.3737,
"step": 1125
},
{
"epoch": 3.58,
"learning_rate": 8.562222222222222e-07,
"loss": 0.3698,
"step": 1150
},
{
"epoch": 3.66,
"learning_rate": 8.506666666666667e-07,
"loss": 0.3601,
"step": 1175
},
{
"epoch": 3.74,
"learning_rate": 8.451111111111111e-07,
"loss": 0.3675,
"step": 1200
},
{
"epoch": 3.81,
"learning_rate": 8.395555555555556e-07,
"loss": 0.3588,
"step": 1225
},
{
"epoch": 3.89,
"learning_rate": 8.34e-07,
"loss": 0.3541,
"step": 1250
},
{
"epoch": 3.97,
"learning_rate": 8.284444444444444e-07,
"loss": 0.3537,
"step": 1275
},
{
"epoch": 4.05,
"learning_rate": 8.228888888888889e-07,
"loss": 0.3666,
"step": 1300
},
{
"epoch": 4.13,
"learning_rate": 8.173333333333333e-07,
"loss": 0.3242,
"step": 1325
},
{
"epoch": 4.21,
"learning_rate": 8.117777777777778e-07,
"loss": 0.3212,
"step": 1350
},
{
"epoch": 4.28,
"learning_rate": 8.062222222222221e-07,
"loss": 0.3374,
"step": 1375
},
{
"epoch": 4.36,
"learning_rate": 8.006666666666666e-07,
"loss": 0.3259,
"step": 1400
},
{
"epoch": 4.44,
"learning_rate": 7.95111111111111e-07,
"loss": 0.3361,
"step": 1425
},
{
"epoch": 4.52,
"learning_rate": 7.895555555555555e-07,
"loss": 0.3355,
"step": 1450
},
{
"epoch": 4.59,
"learning_rate": 7.84e-07,
"loss": 0.3254,
"step": 1475
},
{
"epoch": 4.67,
"learning_rate": 7.784444444444444e-07,
"loss": 0.3296,
"step": 1500
},
{
"epoch": 4.67,
"eval_loss": 0.5428555011749268,
"eval_runtime": 1299.6224,
"eval_samples_per_second": 7.916,
"eval_steps_per_second": 0.124,
"eval_wer": 44.64508786053355,
"step": 1500
},
{
"epoch": 4.75,
"learning_rate": 7.728888888888888e-07,
"loss": 0.3229,
"step": 1525
},
{
"epoch": 4.83,
"learning_rate": 7.673333333333332e-07,
"loss": 0.3372,
"step": 1550
},
{
"epoch": 4.91,
"learning_rate": 7.617777777777778e-07,
"loss": 0.3297,
"step": 1575
},
{
"epoch": 4.98,
"learning_rate": 7.562222222222222e-07,
"loss": 0.3239,
"step": 1600
},
{
"epoch": 5.06,
"learning_rate": 7.506666666666667e-07,
"loss": 0.3113,
"step": 1625
},
{
"epoch": 5.14,
"learning_rate": 7.451111111111111e-07,
"loss": 0.3142,
"step": 1650
},
{
"epoch": 5.22,
"learning_rate": 7.395555555555555e-07,
"loss": 0.303,
"step": 1675
},
{
"epoch": 5.3,
"learning_rate": 7.34e-07,
"loss": 0.2973,
"step": 1700
},
{
"epoch": 5.37,
"learning_rate": 7.284444444444444e-07,
"loss": 0.2998,
"step": 1725
},
{
"epoch": 5.45,
"learning_rate": 7.228888888888889e-07,
"loss": 0.2962,
"step": 1750
},
{
"epoch": 5.53,
"learning_rate": 7.173333333333333e-07,
"loss": 0.3007,
"step": 1775
},
{
"epoch": 5.61,
"learning_rate": 7.117777777777777e-07,
"loss": 0.2906,
"step": 1800
},
{
"epoch": 5.68,
"learning_rate": 7.062222222222222e-07,
"loss": 0.295,
"step": 1825
},
{
"epoch": 5.76,
"learning_rate": 7.006666666666666e-07,
"loss": 0.3083,
"step": 1850
},
{
"epoch": 5.84,
"learning_rate": 6.951111111111111e-07,
"loss": 0.2869,
"step": 1875
},
{
"epoch": 5.92,
"learning_rate": 6.895555555555555e-07,
"loss": 0.2936,
"step": 1900
},
{
"epoch": 6.0,
"learning_rate": 6.84e-07,
"loss": 0.2982,
"step": 1925
},
{
"epoch": 6.07,
"learning_rate": 6.784444444444443e-07,
"loss": 0.2885,
"step": 1950
},
{
"epoch": 6.15,
"learning_rate": 6.728888888888888e-07,
"loss": 0.2719,
"step": 1975
},
{
"epoch": 6.23,
"learning_rate": 6.673333333333334e-07,
"loss": 0.2662,
"step": 2000
},
{
"epoch": 6.23,
"eval_loss": 0.5223153829574585,
"eval_runtime": 1347.3336,
"eval_samples_per_second": 7.636,
"eval_steps_per_second": 0.119,
"eval_wer": 42.664408849901456,
"step": 2000
},
{
"epoch": 6.31,
"learning_rate": 6.617777777777778e-07,
"loss": 0.2739,
"step": 2025
},
{
"epoch": 6.39,
"learning_rate": 6.562222222222223e-07,
"loss": 0.2694,
"step": 2050
},
{
"epoch": 6.46,
"learning_rate": 6.506666666666666e-07,
"loss": 0.2678,
"step": 2075
},
{
"epoch": 6.54,
"learning_rate": 6.451111111111111e-07,
"loss": 0.2716,
"step": 2100
},
{
"epoch": 6.62,
"learning_rate": 6.395555555555555e-07,
"loss": 0.27,
"step": 2125
},
{
"epoch": 6.7,
"learning_rate": 6.34e-07,
"loss": 0.2715,
"step": 2150
},
{
"epoch": 6.77,
"learning_rate": 6.284444444444445e-07,
"loss": 0.2705,
"step": 2175
},
{
"epoch": 6.85,
"learning_rate": 6.228888888888889e-07,
"loss": 0.2771,
"step": 2200
},
{
"epoch": 6.93,
"learning_rate": 6.173333333333333e-07,
"loss": 0.2814,
"step": 2225
},
{
"epoch": 7.01,
"learning_rate": 6.117777777777777e-07,
"loss": 0.302,
"step": 2250
},
{
"epoch": 7.09,
"learning_rate": 6.062222222222222e-07,
"loss": 0.2619,
"step": 2275
},
{
"epoch": 7.16,
"learning_rate": 6.006666666666666e-07,
"loss": 0.2561,
"step": 2300
},
{
"epoch": 7.24,
"learning_rate": 5.951111111111111e-07,
"loss": 0.2559,
"step": 2325
},
{
"epoch": 7.32,
"learning_rate": 5.895555555555555e-07,
"loss": 0.2524,
"step": 2350
},
{
"epoch": 7.4,
"learning_rate": 5.839999999999999e-07,
"loss": 0.2583,
"step": 2375
},
{
"epoch": 7.48,
"learning_rate": 5.784444444444444e-07,
"loss": 0.2434,
"step": 2400
},
{
"epoch": 7.55,
"learning_rate": 5.728888888888888e-07,
"loss": 0.2546,
"step": 2425
},
{
"epoch": 7.63,
"learning_rate": 5.673333333333334e-07,
"loss": 0.2492,
"step": 2450
},
{
"epoch": 7.71,
"learning_rate": 5.617777777777778e-07,
"loss": 0.2544,
"step": 2475
},
{
"epoch": 7.79,
"learning_rate": 5.562222222222222e-07,
"loss": 0.2535,
"step": 2500
},
{
"epoch": 7.79,
"eval_loss": 0.5044606924057007,
"eval_runtime": 1321.646,
"eval_samples_per_second": 7.784,
"eval_steps_per_second": 0.122,
"eval_wer": 41.53041112622491,
"step": 2500
}
],
"max_steps": 5000,
"num_train_epochs": 16,
"total_flos": 4.623830749703412e+19,
"trial_name": null,
"trial_params": null
}