wav2vec2_residencia / trainer_state.json
danielribeiro's picture
Upload 14 files
16484f5 verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 11.389521640091116,
"global_step": 10000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.11,
"learning_rate": 5e-05,
"loss": 467.0219,
"step": 100
},
{
"epoch": 0.23,
"learning_rate": 5e-05,
"loss": 446.5955,
"step": 200
},
{
"epoch": 0.34,
"learning_rate": 5e-05,
"loss": 393.423,
"step": 300
},
{
"epoch": 0.46,
"learning_rate": 5e-05,
"loss": 360.4873,
"step": 400
},
{
"epoch": 0.57,
"learning_rate": 5e-05,
"loss": 369.4461,
"step": 500
},
{
"epoch": 0.68,
"learning_rate": 5e-05,
"loss": 364.8889,
"step": 600
},
{
"epoch": 0.8,
"learning_rate": 5e-05,
"loss": 362.8324,
"step": 700
},
{
"epoch": 0.91,
"learning_rate": 5e-05,
"loss": 345.4677,
"step": 800
},
{
"epoch": 1.03,
"learning_rate": 5e-05,
"loss": 377.1422,
"step": 900
},
{
"epoch": 1.14,
"learning_rate": 5e-05,
"loss": 319.0323,
"step": 1000
},
{
"epoch": 1.25,
"learning_rate": 5e-05,
"loss": 298.1518,
"step": 1100
},
{
"epoch": 1.37,
"learning_rate": 5e-05,
"loss": 335.3308,
"step": 1200
},
{
"epoch": 1.48,
"learning_rate": 5e-05,
"loss": 290.9471,
"step": 1300
},
{
"epoch": 1.59,
"learning_rate": 5e-05,
"loss": 310.6187,
"step": 1400
},
{
"epoch": 1.71,
"learning_rate": 5e-05,
"loss": 333.6563,
"step": 1500
},
{
"epoch": 1.82,
"learning_rate": 5e-05,
"loss": 287.3142,
"step": 1600
},
{
"epoch": 1.94,
"learning_rate": 5e-05,
"loss": 304.1946,
"step": 1700
},
{
"epoch": 2.05,
"learning_rate": 5e-05,
"loss": 295.4456,
"step": 1800
},
{
"epoch": 2.16,
"learning_rate": 5e-05,
"loss": 288.6632,
"step": 1900
},
{
"epoch": 2.28,
"learning_rate": 5e-05,
"loss": 268.8452,
"step": 2000
},
{
"epoch": 2.28,
"eval_cer": 0.1040043410507569,
"eval_loss": 262.4808654785156,
"eval_runtime": 146.2892,
"eval_samples_per_second": 12.783,
"eval_steps_per_second": 1.6,
"eval_wer": 0.22893966022261278,
"step": 2000
},
{
"epoch": 2.39,
"learning_rate": 5e-05,
"loss": 279.8674,
"step": 2100
},
{
"epoch": 2.51,
"learning_rate": 5e-05,
"loss": 288.3673,
"step": 2200
},
{
"epoch": 2.62,
"learning_rate": 5e-05,
"loss": 266.2094,
"step": 2300
},
{
"epoch": 2.73,
"learning_rate": 5e-05,
"loss": 266.3993,
"step": 2400
},
{
"epoch": 2.85,
"learning_rate": 5e-05,
"loss": 265.0983,
"step": 2500
},
{
"epoch": 2.96,
"learning_rate": 5e-05,
"loss": 280.5026,
"step": 2600
},
{
"epoch": 3.08,
"learning_rate": 5e-05,
"loss": 253.5466,
"step": 2700
},
{
"epoch": 3.19,
"learning_rate": 5e-05,
"loss": 259.7672,
"step": 2800
},
{
"epoch": 3.3,
"learning_rate": 5e-05,
"loss": 241.1983,
"step": 2900
},
{
"epoch": 3.42,
"learning_rate": 5e-05,
"loss": 234.3184,
"step": 3000
},
{
"epoch": 3.53,
"learning_rate": 5e-05,
"loss": 241.2133,
"step": 3100
},
{
"epoch": 3.64,
"learning_rate": 5e-05,
"loss": 264.1351,
"step": 3200
},
{
"epoch": 3.76,
"learning_rate": 5e-05,
"loss": 247.2135,
"step": 3300
},
{
"epoch": 3.87,
"learning_rate": 5e-05,
"loss": 227.8616,
"step": 3400
},
{
"epoch": 3.99,
"learning_rate": 5e-05,
"loss": 236.7091,
"step": 3500
},
{
"epoch": 4.1,
"learning_rate": 5e-05,
"loss": 234.9673,
"step": 3600
},
{
"epoch": 4.21,
"learning_rate": 5e-05,
"loss": 211.579,
"step": 3700
},
{
"epoch": 4.33,
"learning_rate": 5e-05,
"loss": 226.7139,
"step": 3800
},
{
"epoch": 4.44,
"learning_rate": 5e-05,
"loss": 239.6923,
"step": 3900
},
{
"epoch": 4.56,
"learning_rate": 5e-05,
"loss": 212.4134,
"step": 4000
},
{
"epoch": 4.56,
"eval_cer": 0.09499526936776491,
"eval_loss": 273.2842712402344,
"eval_runtime": 145.12,
"eval_samples_per_second": 12.886,
"eval_steps_per_second": 1.612,
"eval_wer": 0.20917789494239405,
"step": 4000
},
{
"epoch": 4.67,
"learning_rate": 5e-05,
"loss": 222.3978,
"step": 4100
},
{
"epoch": 4.78,
"learning_rate": 5e-05,
"loss": 220.115,
"step": 4200
},
{
"epoch": 4.9,
"learning_rate": 5e-05,
"loss": 214.0393,
"step": 4300
},
{
"epoch": 5.01,
"learning_rate": 5e-05,
"loss": 217.6124,
"step": 4400
},
{
"epoch": 5.13,
"learning_rate": 5e-05,
"loss": 207.3773,
"step": 4500
},
{
"epoch": 5.24,
"learning_rate": 5e-05,
"loss": 210.2402,
"step": 4600
},
{
"epoch": 5.35,
"learning_rate": 5e-05,
"loss": 183.2794,
"step": 4700
},
{
"epoch": 5.47,
"learning_rate": 5e-05,
"loss": 212.013,
"step": 4800
},
{
"epoch": 5.58,
"learning_rate": 5e-05,
"loss": 201.9256,
"step": 4900
},
{
"epoch": 5.69,
"learning_rate": 5e-05,
"loss": 204.919,
"step": 5000
},
{
"epoch": 5.81,
"learning_rate": 5e-05,
"loss": 200.8947,
"step": 5100
},
{
"epoch": 5.92,
"learning_rate": 5e-05,
"loss": 205.1183,
"step": 5200
},
{
"epoch": 6.04,
"learning_rate": 5e-05,
"loss": 183.53,
"step": 5300
},
{
"epoch": 6.15,
"learning_rate": 5e-05,
"loss": 176.2721,
"step": 5400
},
{
"epoch": 6.26,
"learning_rate": 5e-05,
"loss": 182.444,
"step": 5500
},
{
"epoch": 6.38,
"learning_rate": 5e-05,
"loss": 179.9177,
"step": 5600
},
{
"epoch": 6.49,
"learning_rate": 5e-05,
"loss": 184.7364,
"step": 5700
},
{
"epoch": 6.61,
"learning_rate": 5e-05,
"loss": 170.2941,
"step": 5800
},
{
"epoch": 6.72,
"learning_rate": 5e-05,
"loss": 184.6765,
"step": 5900
},
{
"epoch": 6.83,
"learning_rate": 5e-05,
"loss": 200.3965,
"step": 6000
},
{
"epoch": 6.83,
"eval_cer": 0.09548224621549421,
"eval_loss": 279.6430358886719,
"eval_runtime": 147.4008,
"eval_samples_per_second": 12.687,
"eval_steps_per_second": 1.588,
"eval_wer": 0.2134348760007811,
"step": 6000
},
{
"epoch": 6.95,
"learning_rate": 5e-05,
"loss": 203.8473,
"step": 6100
},
{
"epoch": 7.06,
"learning_rate": 5e-05,
"loss": 180.4022,
"step": 6200
},
{
"epoch": 7.18,
"learning_rate": 5e-05,
"loss": 167.2582,
"step": 6300
},
{
"epoch": 7.29,
"learning_rate": 5e-05,
"loss": 171.7429,
"step": 6400
},
{
"epoch": 7.4,
"learning_rate": 5e-05,
"loss": 161.9806,
"step": 6500
},
{
"epoch": 7.52,
"learning_rate": 5e-05,
"loss": 181.7546,
"step": 6600
},
{
"epoch": 7.63,
"learning_rate": 5e-05,
"loss": 166.6461,
"step": 6700
},
{
"epoch": 7.74,
"learning_rate": 5e-05,
"loss": 156.8281,
"step": 6800
},
{
"epoch": 7.86,
"learning_rate": 5e-05,
"loss": 162.8639,
"step": 6900
},
{
"epoch": 7.97,
"learning_rate": 5e-05,
"loss": 177.6029,
"step": 7000
},
{
"epoch": 8.09,
"learning_rate": 5e-05,
"loss": 162.6876,
"step": 7100
},
{
"epoch": 8.2,
"learning_rate": 5e-05,
"loss": 154.6953,
"step": 7200
},
{
"epoch": 8.31,
"learning_rate": 5e-05,
"loss": 157.7532,
"step": 7300
},
{
"epoch": 8.43,
"learning_rate": 5e-05,
"loss": 155.4144,
"step": 7400
},
{
"epoch": 8.54,
"learning_rate": 5e-05,
"loss": 160.9859,
"step": 7500
},
{
"epoch": 8.66,
"learning_rate": 5e-05,
"loss": 157.5087,
"step": 7600
},
{
"epoch": 8.77,
"learning_rate": 5e-05,
"loss": 158.3729,
"step": 7700
},
{
"epoch": 8.88,
"learning_rate": 5e-05,
"loss": 161.7107,
"step": 7800
},
{
"epoch": 9.0,
"learning_rate": 5e-05,
"loss": 158.3218,
"step": 7900
},
{
"epoch": 9.11,
"learning_rate": 5e-05,
"loss": 130.7524,
"step": 8000
},
{
"epoch": 9.11,
"eval_cer": 0.09586487088156723,
"eval_loss": 320.47552490234375,
"eval_runtime": 144.7814,
"eval_samples_per_second": 12.916,
"eval_steps_per_second": 1.616,
"eval_wer": 0.20667838312829526,
"step": 8000
},
{
"epoch": 9.23,
"learning_rate": 5e-05,
"loss": 142.4579,
"step": 8100
},
{
"epoch": 9.34,
"learning_rate": 5e-05,
"loss": 147.8841,
"step": 8200
},
{
"epoch": 9.45,
"learning_rate": 5e-05,
"loss": 158.0805,
"step": 8300
},
{
"epoch": 9.57,
"learning_rate": 5e-05,
"loss": 145.2056,
"step": 8400
},
{
"epoch": 9.68,
"learning_rate": 5e-05,
"loss": 144.9573,
"step": 8500
},
{
"epoch": 9.79,
"learning_rate": 5e-05,
"loss": 148.1379,
"step": 8600
},
{
"epoch": 9.91,
"learning_rate": 5e-05,
"loss": 148.8498,
"step": 8700
},
{
"epoch": 10.02,
"learning_rate": 5e-05,
"loss": 160.1041,
"step": 8800
},
{
"epoch": 10.14,
"learning_rate": 5e-05,
"loss": 141.2527,
"step": 8900
},
{
"epoch": 10.25,
"learning_rate": 5e-05,
"loss": 127.7468,
"step": 9000
},
{
"epoch": 10.36,
"learning_rate": 5e-05,
"loss": 136.7523,
"step": 9100
},
{
"epoch": 10.48,
"learning_rate": 5e-05,
"loss": 134.6625,
"step": 9200
},
{
"epoch": 10.59,
"learning_rate": 5e-05,
"loss": 138.4917,
"step": 9300
},
{
"epoch": 10.71,
"learning_rate": 5e-05,
"loss": 135.3308,
"step": 9400
},
{
"epoch": 10.82,
"learning_rate": 5e-05,
"loss": 143.3156,
"step": 9500
},
{
"epoch": 10.93,
"learning_rate": 5e-05,
"loss": 130.6054,
"step": 9600
},
{
"epoch": 11.05,
"learning_rate": 5e-05,
"loss": 138.9151,
"step": 9700
},
{
"epoch": 11.16,
"learning_rate": 5e-05,
"loss": 125.203,
"step": 9800
},
{
"epoch": 11.28,
"learning_rate": 5e-05,
"loss": 131.7745,
"step": 9900
},
{
"epoch": 11.39,
"learning_rate": 5e-05,
"loss": 119.4062,
"step": 10000
},
{
"epoch": 11.39,
"eval_cer": 0.09683186776491541,
"eval_loss": 327.7448425292969,
"eval_runtime": 145.6399,
"eval_samples_per_second": 12.84,
"eval_steps_per_second": 1.607,
"eval_wer": 0.20937316930287053,
"step": 10000
}
],
"max_steps": 10000,
"num_train_epochs": 12,
"total_flos": 1.2933525176475093e+19,
"trial_name": null,
"trial_params": null
}