Masaki Hattori
Model save
d76bd93
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 20.0,
"eval_steps": 500,
"global_step": 3280,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.3,
"learning_rate": 1.0000000000000002e-06,
"loss": 9.6805,
"step": 50
},
{
"epoch": 0.61,
"learning_rate": 2.0000000000000003e-06,
"loss": 9.3474,
"step": 100
},
{
"epoch": 0.91,
"learning_rate": 3e-06,
"loss": 8.6058,
"step": 150
},
{
"epoch": 1.0,
"eval_cer": 0.986131055853677,
"eval_loss": 6.288315296173096,
"eval_runtime": 21.6292,
"eval_samples_per_second": 121.318,
"eval_steps_per_second": 7.582,
"eval_wer": 0.9742561721882254,
"step": 164
},
{
"epoch": 1.22,
"learning_rate": 4.000000000000001e-06,
"loss": 6.5168,
"step": 200
},
{
"epoch": 1.52,
"learning_rate": 5e-06,
"loss": 5.178,
"step": 250
},
{
"epoch": 1.83,
"learning_rate": 6e-06,
"loss": 4.6616,
"step": 300
},
{
"epoch": 2.0,
"eval_cer": 0.986131055853677,
"eval_loss": 4.045103549957275,
"eval_runtime": 21.856,
"eval_samples_per_second": 120.059,
"eval_steps_per_second": 7.504,
"eval_wer": 0.9742561721882254,
"step": 328
},
{
"epoch": 2.13,
"learning_rate": 7e-06,
"loss": 4.2963,
"step": 350
},
{
"epoch": 2.44,
"learning_rate": 8.000000000000001e-06,
"loss": 4.0823,
"step": 400
},
{
"epoch": 2.74,
"learning_rate": 9e-06,
"loss": 3.8526,
"step": 450
},
{
"epoch": 3.0,
"eval_cer": 0.986131055853677,
"eval_loss": 3.5416758060455322,
"eval_runtime": 21.8041,
"eval_samples_per_second": 120.344,
"eval_steps_per_second": 7.522,
"eval_wer": 0.9742561721882254,
"step": 492
},
{
"epoch": 3.05,
"learning_rate": 1e-05,
"loss": 3.7408,
"step": 500
},
{
"epoch": 3.35,
"learning_rate": 1.1000000000000001e-05,
"loss": 3.5235,
"step": 550
},
{
"epoch": 3.66,
"learning_rate": 1.2e-05,
"loss": 3.3617,
"step": 600
},
{
"epoch": 3.96,
"learning_rate": 1.3000000000000001e-05,
"loss": 3.2384,
"step": 650
},
{
"epoch": 4.0,
"eval_cer": 0.986131055853677,
"eval_loss": 3.0504775047302246,
"eval_runtime": 22.0029,
"eval_samples_per_second": 119.257,
"eval_steps_per_second": 7.454,
"eval_wer": 0.9742561721882254,
"step": 656
},
{
"epoch": 4.27,
"learning_rate": 1.4e-05,
"loss": 3.0665,
"step": 700
},
{
"epoch": 4.57,
"learning_rate": 1.5000000000000002e-05,
"loss": 2.9046,
"step": 750
},
{
"epoch": 4.88,
"learning_rate": 1.6000000000000003e-05,
"loss": 2.7948,
"step": 800
},
{
"epoch": 5.0,
"eval_cer": 0.986131055853677,
"eval_loss": 2.670631170272827,
"eval_runtime": 21.7032,
"eval_samples_per_second": 120.904,
"eval_steps_per_second": 7.556,
"eval_wer": 0.9742561721882254,
"step": 820
},
{
"epoch": 5.18,
"learning_rate": 1.7e-05,
"loss": 2.6959,
"step": 850
},
{
"epoch": 5.49,
"learning_rate": 1.8e-05,
"loss": 2.6047,
"step": 900
},
{
"epoch": 5.79,
"learning_rate": 1.9e-05,
"loss": 2.549,
"step": 950
},
{
"epoch": 6.0,
"eval_cer": 0.986131055853677,
"eval_loss": 2.426814317703247,
"eval_runtime": 21.9773,
"eval_samples_per_second": 119.396,
"eval_steps_per_second": 7.462,
"eval_wer": 0.9742561721882254,
"step": 984
},
{
"epoch": 6.1,
"learning_rate": 2e-05,
"loss": 2.4746,
"step": 1000
},
{
"epoch": 6.4,
"learning_rate": 1.9561403508771933e-05,
"loss": 2.353,
"step": 1050
},
{
"epoch": 6.71,
"learning_rate": 1.912280701754386e-05,
"loss": 2.1808,
"step": 1100
},
{
"epoch": 7.0,
"eval_cer": 0.986131055853677,
"eval_loss": 1.8554401397705078,
"eval_runtime": 21.7818,
"eval_samples_per_second": 120.467,
"eval_steps_per_second": 7.529,
"eval_wer": 0.9742561721882254,
"step": 1148
},
{
"epoch": 7.01,
"learning_rate": 1.868421052631579e-05,
"loss": 2.028,
"step": 1150
},
{
"epoch": 7.32,
"learning_rate": 1.824561403508772e-05,
"loss": 1.8932,
"step": 1200
},
{
"epoch": 7.62,
"learning_rate": 1.780701754385965e-05,
"loss": 1.7557,
"step": 1250
},
{
"epoch": 7.93,
"learning_rate": 1.736842105263158e-05,
"loss": 1.6069,
"step": 1300
},
{
"epoch": 8.0,
"eval_cer": 0.6230821555437986,
"eval_loss": 1.2551288604736328,
"eval_runtime": 21.5405,
"eval_samples_per_second": 121.817,
"eval_steps_per_second": 7.614,
"eval_wer": 0.6822114370120278,
"step": 1312
},
{
"epoch": 8.23,
"learning_rate": 1.692982456140351e-05,
"loss": 1.4826,
"step": 1350
},
{
"epoch": 8.54,
"learning_rate": 1.649122807017544e-05,
"loss": 1.3003,
"step": 1400
},
{
"epoch": 8.84,
"learning_rate": 1.605263157894737e-05,
"loss": 1.1916,
"step": 1450
},
{
"epoch": 9.0,
"eval_cer": 0.22420829869246467,
"eval_loss": 0.7985360026359558,
"eval_runtime": 22.1233,
"eval_samples_per_second": 118.608,
"eval_steps_per_second": 7.413,
"eval_wer": 0.3679397903917845,
"step": 1476
},
{
"epoch": 9.15,
"learning_rate": 1.56140350877193e-05,
"loss": 1.1239,
"step": 1500
},
{
"epoch": 9.45,
"learning_rate": 1.517543859649123e-05,
"loss": 1.0425,
"step": 1550
},
{
"epoch": 9.76,
"learning_rate": 1.4736842105263159e-05,
"loss": 0.9977,
"step": 1600
},
{
"epoch": 10.0,
"eval_cer": 0.18267704633058726,
"eval_loss": 0.6234104633331299,
"eval_runtime": 21.4356,
"eval_samples_per_second": 122.413,
"eval_steps_per_second": 7.651,
"eval_wer": 0.31180980516283324,
"step": 1640
},
{
"epoch": 10.06,
"learning_rate": 1.429824561403509e-05,
"loss": 0.9625,
"step": 1650
},
{
"epoch": 10.37,
"learning_rate": 1.385964912280702e-05,
"loss": 0.9316,
"step": 1700
},
{
"epoch": 10.67,
"learning_rate": 1.3421052631578948e-05,
"loss": 0.8949,
"step": 1750
},
{
"epoch": 10.98,
"learning_rate": 1.2982456140350879e-05,
"loss": 0.836,
"step": 1800
},
{
"epoch": 11.0,
"eval_cer": 0.16431108759730934,
"eval_loss": 0.510288417339325,
"eval_runtime": 21.4424,
"eval_samples_per_second": 122.374,
"eval_steps_per_second": 7.648,
"eval_wer": 0.2800872195259197,
"step": 1804
},
{
"epoch": 11.28,
"learning_rate": 1.2543859649122808e-05,
"loss": 0.821,
"step": 1850
},
{
"epoch": 11.59,
"learning_rate": 1.2105263157894737e-05,
"loss": 0.7918,
"step": 1900
},
{
"epoch": 11.89,
"learning_rate": 1.1666666666666668e-05,
"loss": 0.7515,
"step": 1950
},
{
"epoch": 12.0,
"eval_cer": 0.1549391580379412,
"eval_loss": 0.43052738904953003,
"eval_runtime": 21.9755,
"eval_samples_per_second": 119.406,
"eval_steps_per_second": 7.463,
"eval_wer": 0.26630090736442286,
"step": 1968
},
{
"epoch": 12.2,
"learning_rate": 1.1228070175438597e-05,
"loss": 0.7517,
"step": 2000
},
{
"epoch": 12.5,
"learning_rate": 1.0789473684210528e-05,
"loss": 0.7086,
"step": 2050
},
{
"epoch": 12.8,
"learning_rate": 1.0350877192982459e-05,
"loss": 0.7045,
"step": 2100
},
{
"epoch": 13.0,
"eval_cer": 0.14133474416143904,
"eval_loss": 0.3688310384750366,
"eval_runtime": 21.9834,
"eval_samples_per_second": 119.363,
"eval_steps_per_second": 7.46,
"eval_wer": 0.24892734050784274,
"step": 2132
},
{
"epoch": 13.11,
"learning_rate": 9.912280701754386e-06,
"loss": 0.6799,
"step": 2150
},
{
"epoch": 13.41,
"learning_rate": 9.473684210526315e-06,
"loss": 0.6578,
"step": 2200
},
{
"epoch": 13.72,
"learning_rate": 9.035087719298246e-06,
"loss": 0.6533,
"step": 2250
},
{
"epoch": 14.0,
"eval_cer": 0.1339656866450004,
"eval_loss": 0.3257971704006195,
"eval_runtime": 21.7706,
"eval_samples_per_second": 120.529,
"eval_steps_per_second": 7.533,
"eval_wer": 0.2398536962791025,
"step": 2296
},
{
"epoch": 14.02,
"learning_rate": 8.596491228070176e-06,
"loss": 0.6267,
"step": 2300
},
{
"epoch": 14.33,
"learning_rate": 8.157894736842106e-06,
"loss": 0.6625,
"step": 2350
},
{
"epoch": 14.63,
"learning_rate": 7.719298245614036e-06,
"loss": 0.6162,
"step": 2400
},
{
"epoch": 14.94,
"learning_rate": 7.280701754385966e-06,
"loss": 0.5906,
"step": 2450
},
{
"epoch": 15.0,
"eval_cer": 0.1287884513642204,
"eval_loss": 0.29405683279037476,
"eval_runtime": 21.5389,
"eval_samples_per_second": 121.826,
"eval_steps_per_second": 7.614,
"eval_wer": 0.23183512696068087,
"step": 2460
},
{
"epoch": 15.24,
"learning_rate": 6.842105263157896e-06,
"loss": 0.6021,
"step": 2500
},
{
"epoch": 15.55,
"learning_rate": 6.403508771929825e-06,
"loss": 0.5722,
"step": 2550
},
{
"epoch": 15.85,
"learning_rate": 5.964912280701755e-06,
"loss": 0.5746,
"step": 2600
},
{
"epoch": 16.0,
"eval_cer": 0.12780591036202857,
"eval_loss": 0.2748357355594635,
"eval_runtime": 21.719,
"eval_samples_per_second": 120.816,
"eval_steps_per_second": 7.551,
"eval_wer": 0.23000633044946192,
"step": 2624
},
{
"epoch": 16.16,
"learning_rate": 5.526315789473685e-06,
"loss": 0.559,
"step": 2650
},
{
"epoch": 16.46,
"learning_rate": 5.087719298245615e-06,
"loss": 0.5676,
"step": 2700
},
{
"epoch": 16.77,
"learning_rate": 4.649122807017544e-06,
"loss": 0.5169,
"step": 2750
},
{
"epoch": 17.0,
"eval_cer": 0.12417806666162799,
"eval_loss": 0.25731268525123596,
"eval_runtime": 21.7044,
"eval_samples_per_second": 120.897,
"eval_steps_per_second": 7.556,
"eval_wer": 0.224027572624323,
"step": 2788
},
{
"epoch": 17.07,
"learning_rate": 4.210526315789474e-06,
"loss": 0.5603,
"step": 2800
},
{
"epoch": 17.38,
"learning_rate": 3.7719298245614037e-06,
"loss": 0.5362,
"step": 2850
},
{
"epoch": 17.68,
"learning_rate": 3.3333333333333333e-06,
"loss": 0.5187,
"step": 2900
},
{
"epoch": 17.99,
"learning_rate": 2.8947368421052634e-06,
"loss": 0.5511,
"step": 2950
},
{
"epoch": 18.0,
"eval_cer": 0.12277983523543194,
"eval_loss": 0.24789051711559296,
"eval_runtime": 21.566,
"eval_samples_per_second": 121.673,
"eval_steps_per_second": 7.605,
"eval_wer": 0.22107336287543083,
"step": 2952
},
{
"epoch": 18.29,
"learning_rate": 2.456140350877193e-06,
"loss": 0.541,
"step": 3000
},
{
"epoch": 18.6,
"learning_rate": 2.017543859649123e-06,
"loss": 0.5095,
"step": 3050
},
{
"epoch": 18.9,
"learning_rate": 1.5789473684210526e-06,
"loss": 0.5318,
"step": 3100
},
{
"epoch": 19.0,
"eval_cer": 0.12100370342377749,
"eval_loss": 0.2409585565328598,
"eval_runtime": 21.8589,
"eval_samples_per_second": 120.043,
"eval_steps_per_second": 7.503,
"eval_wer": 0.21861152141802068,
"step": 3116
},
{
"epoch": 19.21,
"learning_rate": 1.1403508771929824e-06,
"loss": 0.5156,
"step": 3150
},
{
"epoch": 19.51,
"learning_rate": 7.017543859649123e-07,
"loss": 0.4971,
"step": 3200
},
{
"epoch": 19.82,
"learning_rate": 2.6315789473684213e-07,
"loss": 0.5174,
"step": 3250
},
{
"epoch": 20.0,
"eval_cer": 0.12100370342377749,
"eval_loss": 0.23930250108242035,
"eval_runtime": 21.6599,
"eval_samples_per_second": 121.146,
"eval_steps_per_second": 7.572,
"eval_wer": 0.21868185974537527,
"step": 3280
},
{
"epoch": 20.0,
"step": 3280,
"total_flos": 1.8383341927882616e+18,
"train_loss": 1.9778692466456715,
"train_runtime": 7257.7038,
"train_samples_per_second": 28.924,
"train_steps_per_second": 0.452
}
],
"logging_steps": 50,
"max_steps": 3280,
"num_train_epochs": 20,
"save_steps": 500,
"total_flos": 1.8383341927882616e+18,
"trial_name": null,
"trial_params": null
}