初始化项目,由ModelHub XC社区提供模型

Model: Kittipong/wav2vec2-th-vocal-domain
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-05-27 04:48:16 +08:00
commit da9e809435
14 changed files with 912 additions and 0 deletions

616
trainer_state.json Normal file
View File

@@ -0,0 +1,616 @@
{
"best_metric": 0.472552783109405,
"best_model_checkpoint": "/content/drive/MyDrive/new_dataset/wav2vec2-large-xlsr-53-thai-finetune/checkpoint-500",
"epoch": 99.98765432098766,
"global_step": 2000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 2.49,
"learning_rate": 0.0001,
"loss": 1.9911,
"step": 50
},
{
"epoch": 2.49,
"eval_loss": 1.2750070095062256,
"eval_runtime": 34.892,
"eval_samples_per_second": 12.238,
"eval_steps_per_second": 0.774,
"eval_wer": 0.6767754318618042,
"step": 50
},
{
"epoch": 4.99,
"learning_rate": 9.743589743589744e-05,
"loss": 1.2107,
"step": 100
},
{
"epoch": 4.99,
"eval_loss": 1.1088056564331055,
"eval_runtime": 34.7796,
"eval_samples_per_second": 12.277,
"eval_steps_per_second": 0.776,
"eval_wer": 0.5927063339731286,
"step": 100
},
{
"epoch": 7.49,
"learning_rate": 9.487179487179487e-05,
"loss": 0.9686,
"step": 150
},
{
"epoch": 7.49,
"eval_loss": 1.0476980209350586,
"eval_runtime": 34.6203,
"eval_samples_per_second": 12.334,
"eval_steps_per_second": 0.78,
"eval_wer": 0.5712092130518234,
"step": 150
},
{
"epoch": 9.99,
"learning_rate": 9.230769230769232e-05,
"loss": 0.7504,
"step": 200
},
{
"epoch": 9.99,
"eval_loss": 1.0640665292739868,
"eval_runtime": 34.843,
"eval_samples_per_second": 12.255,
"eval_steps_per_second": 0.775,
"eval_wer": 0.5504798464491363,
"step": 200
},
{
"epoch": 12.49,
"learning_rate": 8.974358974358975e-05,
"loss": 0.6352,
"step": 250
},
{
"epoch": 12.49,
"eval_loss": 1.095747709274292,
"eval_runtime": 33.9281,
"eval_samples_per_second": 12.585,
"eval_steps_per_second": 0.796,
"eval_wer": 0.5324376199616123,
"step": 250
},
{
"epoch": 14.99,
"learning_rate": 8.717948717948718e-05,
"loss": 0.5313,
"step": 300
},
{
"epoch": 14.99,
"eval_loss": 1.0491594076156616,
"eval_runtime": 33.7693,
"eval_samples_per_second": 12.645,
"eval_steps_per_second": 0.8,
"eval_wer": 0.5163147792706334,
"step": 300
},
{
"epoch": 17.49,
"learning_rate": 8.461538461538461e-05,
"loss": 0.4461,
"step": 350
},
{
"epoch": 17.49,
"eval_loss": 1.0721960067749023,
"eval_runtime": 33.9128,
"eval_samples_per_second": 12.591,
"eval_steps_per_second": 0.796,
"eval_wer": 0.5124760076775432,
"step": 350
},
{
"epoch": 19.99,
"learning_rate": 8.205128205128205e-05,
"loss": 0.4094,
"step": 400
},
{
"epoch": 19.99,
"eval_loss": 1.057926058769226,
"eval_runtime": 34.0347,
"eval_samples_per_second": 12.546,
"eval_steps_per_second": 0.793,
"eval_wer": 0.49750479846449136,
"step": 400
},
{
"epoch": 22.49,
"learning_rate": 7.948717948717948e-05,
"loss": 0.3467,
"step": 450
},
{
"epoch": 22.49,
"eval_loss": 1.0208101272583008,
"eval_runtime": 34.3752,
"eval_samples_per_second": 12.422,
"eval_steps_per_second": 0.785,
"eval_wer": 0.491362763915547,
"step": 450
},
{
"epoch": 24.99,
"learning_rate": 7.692307692307693e-05,
"loss": 0.3195,
"step": 500
},
{
"epoch": 24.99,
"eval_loss": 1.0337833166122437,
"eval_runtime": 33.8794,
"eval_samples_per_second": 12.604,
"eval_steps_per_second": 0.797,
"eval_wer": 0.472552783109405,
"step": 500
},
{
"epoch": 27.49,
"learning_rate": 7.435897435897436e-05,
"loss": 0.3005,
"step": 550
},
{
"epoch": 27.49,
"eval_loss": 1.0594605207443237,
"eval_runtime": 33.9955,
"eval_samples_per_second": 12.56,
"eval_steps_per_second": 0.794,
"eval_wer": 0.47946257197696734,
"step": 550
},
{
"epoch": 29.99,
"learning_rate": 7.17948717948718e-05,
"loss": 0.2933,
"step": 600
},
{
"epoch": 29.99,
"eval_loss": 1.017477035522461,
"eval_runtime": 33.8622,
"eval_samples_per_second": 12.61,
"eval_steps_per_second": 0.797,
"eval_wer": 0.472936660268714,
"step": 600
},
{
"epoch": 32.49,
"learning_rate": 6.923076923076924e-05,
"loss": 0.2601,
"step": 650
},
{
"epoch": 32.49,
"eval_loss": 1.099133014678955,
"eval_runtime": 34.4437,
"eval_samples_per_second": 12.397,
"eval_steps_per_second": 0.784,
"eval_wer": 0.4652591170825336,
"step": 650
},
{
"epoch": 34.99,
"learning_rate": 6.666666666666667e-05,
"loss": 0.2226,
"step": 700
},
{
"epoch": 34.99,
"eval_loss": 1.1290050745010376,
"eval_runtime": 34.6356,
"eval_samples_per_second": 12.328,
"eval_steps_per_second": 0.78,
"eval_wer": 0.47063339731285986,
"step": 700
},
{
"epoch": 37.49,
"learning_rate": 6.410256410256412e-05,
"loss": 0.2262,
"step": 750
},
{
"epoch": 37.49,
"eval_loss": 1.0954631567001343,
"eval_runtime": 35.3666,
"eval_samples_per_second": 12.074,
"eval_steps_per_second": 0.763,
"eval_wer": 0.45681381957773515,
"step": 750
},
{
"epoch": 39.99,
"learning_rate": 6.153846153846155e-05,
"loss": 0.2236,
"step": 800
},
{
"epoch": 39.99,
"eval_loss": 1.1119202375411987,
"eval_runtime": 35.0365,
"eval_samples_per_second": 12.187,
"eval_steps_per_second": 0.771,
"eval_wer": 0.4491362763915547,
"step": 800
},
{
"epoch": 42.49,
"learning_rate": 5.897435897435898e-05,
"loss": 0.2029,
"step": 850
},
{
"epoch": 42.49,
"eval_loss": 1.1375640630722046,
"eval_runtime": 35.2676,
"eval_samples_per_second": 12.107,
"eval_steps_per_second": 0.766,
"eval_wer": 0.45220729366602685,
"step": 850
},
{
"epoch": 44.99,
"learning_rate": 5.6410256410256414e-05,
"loss": 0.1876,
"step": 900
},
{
"epoch": 44.99,
"eval_loss": 1.142003059387207,
"eval_runtime": 35.6836,
"eval_samples_per_second": 11.966,
"eval_steps_per_second": 0.757,
"eval_wer": 0.4476007677543186,
"step": 900
},
{
"epoch": 47.49,
"learning_rate": 5.384615384615385e-05,
"loss": 0.1733,
"step": 950
},
{
"epoch": 47.49,
"eval_loss": 1.1137712001800537,
"eval_runtime": 34.9014,
"eval_samples_per_second": 12.234,
"eval_steps_per_second": 0.774,
"eval_wer": 0.44337811900191937,
"step": 950
},
{
"epoch": 49.99,
"learning_rate": 5.128205128205128e-05,
"loss": 0.161,
"step": 1000
},
{
"epoch": 49.99,
"eval_loss": 1.195468783378601,
"eval_runtime": 35.1209,
"eval_samples_per_second": 12.158,
"eval_steps_per_second": 0.769,
"eval_wer": 0.44798464491362766,
"step": 1000
},
{
"epoch": 52.49,
"learning_rate": 4.871794871794872e-05,
"loss": 0.1661,
"step": 1050
},
{
"epoch": 52.49,
"eval_loss": 1.1598896980285645,
"eval_runtime": 34.8413,
"eval_samples_per_second": 12.256,
"eval_steps_per_second": 0.775,
"eval_wer": 0.44606525911708256,
"step": 1050
},
{
"epoch": 54.99,
"learning_rate": 4.615384615384616e-05,
"loss": 0.1533,
"step": 1100
},
{
"epoch": 54.99,
"eval_loss": 1.143904447555542,
"eval_runtime": 34.3532,
"eval_samples_per_second": 12.43,
"eval_steps_per_second": 0.786,
"eval_wer": 0.4383877159309021,
"step": 1100
},
{
"epoch": 57.49,
"learning_rate": 4.358974358974359e-05,
"loss": 0.1565,
"step": 1150
},
{
"epoch": 57.49,
"eval_loss": 1.1354175806045532,
"eval_runtime": 34.4974,
"eval_samples_per_second": 12.378,
"eval_steps_per_second": 0.783,
"eval_wer": 0.4418426103646833,
"step": 1150
},
{
"epoch": 59.99,
"learning_rate": 4.1025641025641023e-05,
"loss": 0.1476,
"step": 1200
},
{
"epoch": 59.99,
"eval_loss": 1.1580840349197388,
"eval_runtime": 34.4611,
"eval_samples_per_second": 12.391,
"eval_steps_per_second": 0.783,
"eval_wer": 0.4410748560460653,
"step": 1200
},
{
"epoch": 62.49,
"learning_rate": 3.846153846153846e-05,
"loss": 0.1378,
"step": 1250
},
{
"epoch": 62.49,
"eval_loss": 1.1266977787017822,
"eval_runtime": 34.2613,
"eval_samples_per_second": 12.463,
"eval_steps_per_second": 0.788,
"eval_wer": 0.4303262955854127,
"step": 1250
},
{
"epoch": 64.99,
"learning_rate": 3.58974358974359e-05,
"loss": 0.1214,
"step": 1300
},
{
"epoch": 64.99,
"eval_loss": 1.165766716003418,
"eval_runtime": 33.9904,
"eval_samples_per_second": 12.562,
"eval_steps_per_second": 0.794,
"eval_wer": 0.42879078694817657,
"step": 1300
},
{
"epoch": 67.49,
"learning_rate": 3.3333333333333335e-05,
"loss": 0.133,
"step": 1350
},
{
"epoch": 67.49,
"eval_loss": 1.137351632118225,
"eval_runtime": 34.008,
"eval_samples_per_second": 12.556,
"eval_steps_per_second": 0.794,
"eval_wer": 0.43339731285988486,
"step": 1350
},
{
"epoch": 69.99,
"learning_rate": 3.0769230769230774e-05,
"loss": 0.1147,
"step": 1400
},
{
"epoch": 69.99,
"eval_loss": 1.1521999835968018,
"eval_runtime": 33.8683,
"eval_samples_per_second": 12.608,
"eval_steps_per_second": 0.797,
"eval_wer": 0.4245681381957774,
"step": 1400
},
{
"epoch": 72.49,
"learning_rate": 2.8205128205128207e-05,
"loss": 0.125,
"step": 1450
},
{
"epoch": 72.49,
"eval_loss": 1.1379369497299194,
"eval_runtime": 34.1582,
"eval_samples_per_second": 12.501,
"eval_steps_per_second": 0.79,
"eval_wer": 0.43570057581573896,
"step": 1450
},
{
"epoch": 74.99,
"learning_rate": 2.564102564102564e-05,
"loss": 0.1189,
"step": 1500
},
{
"epoch": 74.99,
"eval_loss": 1.1502233743667603,
"eval_runtime": 33.9539,
"eval_samples_per_second": 12.576,
"eval_steps_per_second": 0.795,
"eval_wer": 0.4284069097888676,
"step": 1500
},
{
"epoch": 77.49,
"learning_rate": 2.307692307692308e-05,
"loss": 0.1122,
"step": 1550
},
{
"epoch": 77.49,
"eval_loss": 1.1575168371200562,
"eval_runtime": 34.1792,
"eval_samples_per_second": 12.493,
"eval_steps_per_second": 0.79,
"eval_wer": 0.4314779270633397,
"step": 1550
},
{
"epoch": 79.99,
"learning_rate": 2.0512820512820512e-05,
"loss": 0.1235,
"step": 1600
},
{
"epoch": 79.99,
"eval_loss": 1.142774224281311,
"eval_runtime": 33.8121,
"eval_samples_per_second": 12.629,
"eval_steps_per_second": 0.799,
"eval_wer": 0.42610364683301344,
"step": 1600
},
{
"epoch": 82.49,
"learning_rate": 1.794871794871795e-05,
"loss": 0.1092,
"step": 1650
},
{
"epoch": 82.49,
"eval_loss": 1.1530485153198242,
"eval_runtime": 33.6852,
"eval_samples_per_second": 12.676,
"eval_steps_per_second": 0.802,
"eval_wer": 0.4341650671785029,
"step": 1650
},
{
"epoch": 84.99,
"learning_rate": 1.5384615384615387e-05,
"loss": 0.1185,
"step": 1700
},
{
"epoch": 84.99,
"eval_loss": 1.1284310817718506,
"eval_runtime": 33.8486,
"eval_samples_per_second": 12.615,
"eval_steps_per_second": 0.798,
"eval_wer": 0.42994241842610365,
"step": 1700
},
{
"epoch": 87.49,
"learning_rate": 1.282051282051282e-05,
"loss": 0.1048,
"step": 1750
},
{
"epoch": 87.49,
"eval_loss": 1.1434178352355957,
"eval_runtime": 33.9335,
"eval_samples_per_second": 12.583,
"eval_steps_per_second": 0.796,
"eval_wer": 0.4276391554702495,
"step": 1750
},
{
"epoch": 89.99,
"learning_rate": 1.0256410256410256e-05,
"loss": 0.1038,
"step": 1800
},
{
"epoch": 89.99,
"eval_loss": 1.1609505414962769,
"eval_runtime": 34.1384,
"eval_samples_per_second": 12.508,
"eval_steps_per_second": 0.791,
"eval_wer": 0.42418426103646834,
"step": 1800
},
{
"epoch": 92.49,
"learning_rate": 7.692307692307694e-06,
"loss": 0.1073,
"step": 1850
},
{
"epoch": 92.49,
"eval_loss": 1.1562278270721436,
"eval_runtime": 33.8455,
"eval_samples_per_second": 12.616,
"eval_steps_per_second": 0.798,
"eval_wer": 0.4238003838771593,
"step": 1850
},
{
"epoch": 94.99,
"learning_rate": 5.128205128205128e-06,
"loss": 0.1055,
"step": 1900
},
{
"epoch": 94.99,
"eval_loss": 1.1589001417160034,
"eval_runtime": 34.1041,
"eval_samples_per_second": 12.52,
"eval_steps_per_second": 0.792,
"eval_wer": 0.4214971209213052,
"step": 1900
},
{
"epoch": 97.49,
"learning_rate": 2.564102564102564e-06,
"loss": 0.1133,
"step": 1950
},
{
"epoch": 97.49,
"eval_loss": 1.1536645889282227,
"eval_runtime": 33.9701,
"eval_samples_per_second": 12.57,
"eval_steps_per_second": 0.795,
"eval_wer": 0.4238003838771593,
"step": 1950
},
{
"epoch": 99.99,
"learning_rate": 0.0,
"loss": 0.0992,
"step": 2000
},
{
"epoch": 99.99,
"eval_loss": 1.1553977727890015,
"eval_runtime": 33.8655,
"eval_samples_per_second": 12.609,
"eval_steps_per_second": 0.797,
"eval_wer": 0.42418426103646834,
"step": 2000
}
],
"max_steps": 2000,
"num_train_epochs": 100,
"total_flos": 1.6479245346890066e+19,
"trial_name": null,
"trial_params": null
}