s2t-small-uit-vimd-finetuned

This model is a fine-tuned version of s2t-small-librispeech-asr on the UIT-ViMD dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7059
  • Wer: 0.6621

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 3e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1500
  • training_steps: 40000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
10.0415 0.0490 46 9.6072 2.7651
9.0102 0.0980 92 8.0153 2.6857
7.5035 0.1470 138 6.5609 1.0961
6.657 0.1960 184 6.2412 2.5347
6.467 0.2449 230 6.1566 2.8444
6.3998 0.2939 276 6.2421 2.7887
6.3478 0.3429 322 6.0328 2.7879
6.315 0.3919 368 6.0488 2.7872
6.2289 0.4409 414 6.0076 2.5553
6.1241 0.4899 460 5.9637 2.6240
6.0459 0.5389 506 5.7459 2.5721
5.9405 0.5879 552 5.6078 1.6834
5.8387 0.6368 598 5.7928 1.6934
5.7766 0.6858 644 5.4501 1.1274
5.6624 0.7348 690 5.2855 1.1091
5.6038 0.7838 736 5.1060 1.2662
5.5032 0.8328 782 5.1984 1.1968
5.4133 0.8818 828 5.2017 1.4813
5.3843 0.9308 874 5.1494 1.3059
5.2971 0.9798 920 5.2455 2.3707
5.2491 1.0288 966 5.1174 1.2235
5.2254 1.0777 1012 5.0736 1.0229
5.194 1.1267 1058 5.0790 1.3837
5.1989 1.1757 1104 4.8743 1.0969
5.1021 1.2247 1150 4.8653 1.1640
5.0841 1.2737 1196 4.6579 1.2822
5.0679 1.3227 1242 4.8070 1.6339
5.0172 1.3717 1288 4.6677 1.0656
4.9715 1.4207 1334 4.6763 2.3150
4.9885 1.4696 1380 4.9263 2.5736
4.9401 1.5186 1426 4.6204 1.9573
4.9149 1.5676 1472 5.0924 1.0267
4.9357 1.6166 1518 4.4960 1.4615
4.8663 1.6656 1564 4.6463 1.4371
4.8719 1.7146 1610 4.4370 2.8726
4.8715 1.7636 1656 4.6787 1.0778
4.809 1.8126 1702 4.4654 1.8726
4.765 1.8616 1748 4.5059 1.6987
4.7921 1.9105 1794 4.6007 2.1129
4.7512 1.9595 1840 4.2819 1.7407
4.7538 2.0085 1886 4.4597 1.6110
4.6738 2.0575 1932 4.3825 1.2044
4.6956 2.1065 1978 4.4944 2.0564
4.6334 2.1555 2024 4.6852 2.3867
4.6504 2.2045 2070 4.5122 1.1098
4.6666 2.2535 2116 4.8208 1.5004
4.6497 2.3024 2162 4.5412 1.9687
4.6257 2.3514 2208 4.1987 2.1243
4.5968 2.4004 2254 4.3092 1.6056
4.6385 2.4494 2300 4.6225 2.0061
4.5742 2.4984 2346 4.4123 1.6285
4.564 2.5474 2392 4.5732 1.1159
4.5809 2.5964 2438 4.8224 2.0870
4.5591 2.6454 2484 4.3851 2.4867
4.5448 2.6944 2530 4.3473 2.1106
4.5179 2.7433 2576 4.3758 1.9252
4.5827 2.7923 2622 4.7695 1.8726
4.5294 2.8413 2668 4.3450 1.7048
4.4741 2.8903 2714 4.1880 1.3837
4.4874 2.9393 2760 4.4765 2.0686
4.4538 2.9883 2806 4.1480 1.9443
4.4028 3.0373 2852 4.3618 1.7376
4.3593 3.0863 2898 3.9405 1.6773
4.3418 3.1353 2944 3.9904 1.5774
4.3513 3.1842 2990 4.3713 1.7605
4.3221 3.2332 3036 4.1550 1.8535
4.3248 3.2822 3082 4.0488 1.6377
4.2307 3.3312 3128 3.8885 1.4600
4.1828 3.3802 3174 4.0612 1.3616
4.1284 3.4292 3220 3.5489 1.3799
4.149 3.4782 3266 3.7420 1.3204
4.0879 3.5272 3312 3.6886 1.4066
4.0178 3.5761 3358 3.4516 1.5187
3.9297 3.6251 3404 3.3175 1.4645
3.8672 3.6741 3450 3.3851 1.1503
3.8899 3.7231 3496 3.4686 1.3394
3.7791 3.7721 3542 3.2141 1.2540
3.7556 3.8211 3588 3.4405 1.1495
3.6788 3.8701 3634 2.9653 1.2456
3.6308 3.9191 3680 3.2929 1.1823
3.6637 3.9681 3726 3.1619 1.0702
3.4924 4.0170 3772 3.0206 0.9779
3.4567 4.0660 3818 3.1071 1.0717
3.3797 4.1150 3864 3.0367 1.1465
3.3936 4.1640 3910 3.1383 1.0557
3.3144 4.2130 3956 2.8800 0.9100
3.2994 4.2620 4002 2.6442 0.9817
3.3083 4.3110 4048 2.7012 0.8696
3.2363 4.3600 4094 2.5279 0.9245
3.2239 4.4089 4140 2.7279 0.8719
3.2264 4.4579 4186 2.5810 0.9382
3.2002 4.5069 4232 2.6343 0.9497
3.1573 4.5559 4278 3.0085 1.0763
3.1325 4.6049 4324 2.6016 0.8978
3.112 4.6539 4370 2.5037 1.1907
3.0337 4.7029 4416 2.2567 1.0725
3.0665 4.7519 4462 2.6845 0.9596
2.9849 4.8009 4508 2.5989 0.9947
3.0215 4.8498 4554 2.5089 1.0
2.9487 4.8988 4600 2.2910 0.9649
2.8958 4.9478 4646 2.3740 1.0427
2.9507 4.9968 4692 2.3876 1.0359
2.8907 5.0458 4738 2.6031 0.9146
2.7608 5.0948 4784 1.9331 0.9977
2.8235 5.1438 4830 2.2818 0.8558
2.8225 5.1928 4876 2.4052 0.9687
2.7794 5.2417 4922 2.0690 0.7246
2.8446 5.2907 4968 2.1208 1.0458
2.7446 5.3397 5014 2.6368 0.9123
2.7906 5.3887 5060 2.3725 0.7635
2.7419 5.4377 5106 1.8286 0.7803
2.7482 5.4867 5152 2.4683 0.7757
2.71 5.5357 5198 2.1428 0.8284
2.748 5.5847 5244 2.4891 0.7521
2.7128 5.6337 5290 2.1653 0.7025
2.6697 5.6826 5336 2.3304 0.7536
2.7055 5.7316 5382 2.1923 0.8314
2.7485 5.7806 5428 1.9645 0.6957
2.6862 5.8296 5474 2.4469 0.7857
2.6268 5.8786 5520 2.0508 0.8223
2.6629 5.9276 5566 3.1371 0.7857
2.7136 5.9766 5612 2.3568 0.8124
2.5939 6.0256 5658 2.2982 0.7902
2.5209 6.0745 5704 2.1673 0.9092
2.5205 6.1235 5750 1.6860 0.8078
2.5426 6.1725 5796 2.5552 0.8223
2.4915 6.2215 5842 2.5377 0.8146
2.5388 6.2705 5888 2.0584 0.9443
2.5655 6.3195 5934 2.1900 0.6613
2.5462 6.3685 5980 1.9014 0.6461
2.4827 6.4175 6026 2.0078 0.7864
2.5831 6.4665 6072 2.0717 0.8002
2.4698 6.5154 6118 2.1906 0.7262
2.4836 6.5644 6164 1.9154 0.8246
2.5318 6.6134 6210 2.1880 0.6133
2.5121 6.6624 6256 1.7957 0.7719
2.468 6.7114 6302 1.9780 0.6522
2.4082 6.7604 6348 1.9565 0.8063
2.4947 6.8094 6394 1.6497 0.7086
2.4975 6.8584 6440 2.3719 0.6659
2.4624 6.9073 6486 1.6827 0.6743
2.4428 6.9563 6532 2.0943 0.6949
2.4522 7.0053 6578 2.1424 0.7483
2.3723 7.0543 6624 1.9519 0.8505
2.3791 7.1033 6670 2.3679 0.7780
2.3894 7.1523 6716 1.5468 0.8047
2.3466 7.2013 6762 1.9894 0.6026
2.3545 7.2503 6808 2.1756 0.8131
2.4152 7.2993 6854 1.6656 0.9161
2.2915 7.3482 6900 2.6449 0.7353
2.3213 7.3972 6946 1.8635 0.6880
2.3227 7.4462 6992 1.9249 0.7590
2.3498 7.4952 7038 2.2339 0.6697
2.3458 7.5442 7084 1.7145 0.6690
2.2996 7.5932 7130 2.0018 0.6384
2.309 7.6422 7176 2.4001 0.6697
2.3566 7.6912 7222 1.9882 0.6827
2.3619 7.7401 7268 2.2134 0.7452
2.3768 7.7891 7314 1.9402 0.6499
2.343 7.8381 7360 2.3600 0.6377
2.3364 7.8871 7406 2.3632 0.7277
2.2965 7.9361 7452 2.0428 0.7597
2.3314 7.9851 7498 1.8117 0.6522
2.2367 8.0341 7544 1.8227 0.7818
2.2004 8.0831 7590 1.8653 0.8986
2.2355 8.1321 7636 1.5815 0.7193
2.2735 8.1810 7682 1.8200 0.7376
2.2016 8.2300 7728 2.1064 0.7757
2.2236 8.2790 7774 2.1960 0.7277
2.2629 8.3280 7820 1.8969 1.0153
2.2333 8.3770 7866 1.9392 0.7780
2.3081 8.4260 7912 2.0788 0.7773
2.2394 8.4750 7958 1.7624 0.8307
2.2689 8.5240 8004 1.6819 0.7483
2.2141 8.5729 8050 2.2714 0.6941
2.2491 8.6219 8096 1.5813 0.8749
2.2547 8.6709 8142 1.7303 0.7376
2.2452 8.7199 8188 2.1367 0.7086
2.1973 8.7689 8234 2.5364 0.7948
2.1983 8.8179 8280 2.5068 0.6560
2.2147 8.8669 8326 1.8437 0.6834
2.1853 8.9159 8372 2.0133 0.5652
2.1776 8.9649 8418 2.0903 0.5866
2.1158 9.0138 8464 1.8758 0.5660
2.1226 9.0628 8510 2.0116 0.7002
2.0988 9.1118 8556 1.7681 0.6041
2.1063 9.1608 8602 2.2456 0.6964
2.0862 9.2098 8648 1.7496 0.5858
2.177 9.2588 8694 1.9786 0.7414
2.113 9.3078 8740 2.1259 0.6987
2.152 9.3568 8786 1.8785 0.7269
2.1315 9.4058 8832 1.9563 0.6911
2.1425 9.4547 8878 1.9474 0.7170
2.1126 9.5037 8924 1.9101 0.7109
2.1793 9.5527 8970 2.1603 0.6895
2.1184 9.6017 9016 1.9047 0.6903
2.1878 9.6507 9062 1.7960 0.6903
2.1172 9.6997 9108 1.9387 0.6842
2.16 9.7487 9154 1.9603 0.5286
2.1817 9.7977 9200 2.0296 0.8032
2.1776 9.8466 9246 2.3591 0.6705
2.1488 9.8956 9292 2.1115 0.6728
2.1173 9.9446 9338 2.0452 0.7879
2.1313 9.9936 9384 1.6271 0.6621
2.0773 10.0426 9430 1.6572 0.5576
2.0741 10.0916 9476 1.7347 0.5736
2.0192 10.1406 9522 1.9669 0.6514
2.0133 10.1896 9568 2.3957 0.5324
2.0137 10.2386 9614 1.9313 0.5523
2.0878 10.2875 9660 1.7588 0.6781
2.0918 10.3365 9706 1.5897 0.6583
2.1368 10.3855 9752 1.8707 0.6552
2.031 10.4345 9798 1.8737 0.6636
2.0823 10.4835 9844 2.0404 0.6705
2.0599 10.5325 9890 2.6899 0.5362
2.0768 10.5815 9936 2.2819 0.6690
2.0301 10.6305 9982 1.8063 0.6636
2.0973 10.6794 10028 1.7077 0.6758
2.0989 10.7284 10074 2.0836 0.6735
2.0378 10.7774 10120 1.9060 0.6659
2.0974 10.8264 10166 2.1084 0.6461
2.054 10.8754 10212 1.7876 0.7994
2.0315 10.9244 10258 1.7286 0.7643
2.0554 10.9734 10304 1.5515 0.6598
2.0493 11.0224 10350 1.7260 0.6529
2.0261 11.0714 10396 1.7375 0.6834
2.0386 11.1203 10442 2.3579 0.6560
1.9837 11.1693 10488 1.7646 0.6529
1.98 11.2183 10534 1.8462 0.6354
2.0112 11.2673 10580 2.2094 0.6354
2.013 11.3163 10626 1.6524 0.7818
1.9644 11.3653 10672 1.9840 0.6400
2.0306 11.4143 10718 1.7322 0.6377
1.9994 11.4633 10764 1.6268 0.6323
1.9911 11.5122 10810 1.5183 0.6423
2.0069 11.5612 10856 1.8589 0.6590
1.9997 11.6102 10902 1.4175 0.6392
2.0322 11.6592 10948 1.7353 0.6461
2.0006 11.7082 10994 1.7597 0.6461
1.9669 11.7572 11040 1.3823 0.6377
1.9959 11.8062 11086 1.8571 0.7048
1.9959 11.8552 11132 1.7335 0.6789
2.0528 11.9042 11178 2.1097 0.6522
2.034 11.9531 11224 1.9425 0.7460
1.9614 12.0021 11270 1.7729 0.6712
1.962 12.0511 11316 1.5280 0.6461
1.9259 12.1001 11362 1.8746 0.6758
1.9713 12.1491 11408 1.8781 0.6209
1.9583 12.1981 11454 1.6248 0.7796
1.9185 12.2471 11500 1.7218 0.8063
1.9682 12.2961 11546 1.6681 0.6491
1.9236 12.3450 11592 1.7581 0.7902
1.9506 12.3940 11638 1.5125 0.7079
1.9488 12.4430 11684 1.2381 0.6568
1.9377 12.4920 11730 2.0817 0.5339
2.0095 12.5410 11776 2.3150 0.6705
1.9564 12.5900 11822 1.9439 0.6499
1.9855 12.6390 11868 1.4350 0.6377
1.9712 12.6880 11914 1.6765 0.5072
1.9449 12.7370 11960 1.6882 0.7429
1.9315 12.7859 12006 2.1650 0.6690
1.9938 12.8349 12052 1.7770 0.5217
1.9731 12.8839 12098 2.0976 0.5217
1.8989 12.9329 12144 1.3949 0.7544
1.9263 12.9819 12190 1.6227 0.6590
1.8839 13.0309 12236 2.0962 0.7620
1.8477 13.0799 12282 1.9402 0.6705
1.901 13.1289 12328 1.8062 0.6354
1.8702 13.1778 12374 2.0144 0.6407
1.8507 13.2268 12420 1.9302 0.6613
1.8718 13.2758 12466 1.7976 0.6316
1.8647 13.3248 12512 1.7692 0.7597
1.9419 13.3738 12558 1.7708 0.7773
1.9313 13.4228 12604 2.2976 0.5645
1.9554 13.4718 12650 1.7321 0.5118
1.9277 13.5208 12696 2.1339 0.6697
1.9022 13.5698 12742 1.7016 0.6445
1.9343 13.6187 12788 1.3628 0.6606
1.8859 13.6677 12834 1.8999 0.5347
1.9809 13.7167 12880 1.7508 0.7849
1.9133 13.7657 12926 1.7578 0.6568
1.8508 13.8147 12972 1.9824 0.6468
1.9198 13.8637 13018 1.7049 0.6430
1.9591 13.9127 13064 2.1335 0.6537
1.9544 13.9617 13110 1.6545 0.6667
1.9176 14.0106 13156 1.8152 0.6606
1.8167 14.0596 13202 1.6567 0.6392
1.8611 14.1086 13248 1.7093 0.6484
1.8082 14.1576 13294 1.7650 0.7216
1.852 14.2066 13340 1.7747 0.6537
1.8505 14.2556 13386 2.0744 0.6438
1.854 14.3046 13432 1.9691 0.6369
1.9041 14.3536 13478 2.0058 0.6438
1.8661 14.4026 13524 1.9013 0.5156
1.8366 14.4515 13570 1.7564 0.7162
1.8687 14.5005 13616 2.0942 0.6499
1.821 14.5495 13662 1.6824 0.6392
1.9413 14.5985 13708 1.5903 0.6247
1.8735 14.6475 13754 1.6288 0.6034
1.8829 14.6965 13800 1.6204 0.6285
1.8803 14.7455 13846 1.4950 0.6423
1.8325 14.7945 13892 1.5955 0.6445
1.905 14.8435 13938 1.7597 0.6308
1.9291 14.8924 13984 1.6754 0.6453
1.8646 14.9414 14030 1.7679 0.6400
1.8707 14.9904 14076 1.4442 0.6430
1.8016 15.0394 14122 2.3060 0.5294
1.787 15.0884 14168 1.5995 0.5393
1.8801 15.1374 14214 1.8316 0.6529
1.837 15.1864 14260 2.0738 0.6400
1.7394 15.2354 14306 1.5721 0.6423
1.8477 15.2843 14352 1.3338 0.6400
1.7935 15.3333 14398 1.9281 0.6468
1.8399 15.3823 14444 1.5838 0.7788
1.8112 15.4313 14490 1.9815 0.6583
1.8274 15.4803 14536 2.2566 0.6575
1.8122 15.5293 14582 2.0499 0.6331
1.8572 15.5783 14628 2.1192 0.6598
1.8645 15.6273 14674 1.6720 0.6423
1.8131 15.6763 14720 1.8248 0.6301
1.8575 15.7252 14766 1.4994 0.6453
1.8619 15.7742 14812 1.6240 0.6438
1.8769 15.8232 14858 1.5106 0.5278
1.8663 15.8722 14904 1.3819 0.6529
1.8752 15.9212 14950 1.3656 0.6568
1.8053 15.9702 14996 1.7036 0.6690
1.8678 16.0192 15042 1.5174 0.6346
1.7752 16.0682 15088 1.4907 0.6537
1.7651 16.1171 15134 1.6303 0.5767
1.757 16.1661 15180 1.7852 0.6781
1.8053 16.2151 15226 1.9609 0.7643
1.8682 16.2641 15272 1.8553 0.7620
1.7658 16.3131 15318 1.4196 0.6468
1.8486 16.3621 15364 1.5508 0.5286
1.8058 16.4111 15410 1.8765 0.6552
1.7903 16.4601 15456 1.4543 0.6362
1.792 16.5091 15502 1.4766 0.7582
1.8187 16.5580 15548 1.6855 0.6545
1.7796 16.6070 15594 1.6344 0.6484
1.8007 16.6560 15640 1.7046 0.6728
1.8026 16.7050 15686 2.1069 0.7346
1.7634 16.7540 15732 1.5729 0.6384
1.8301 16.8030 15778 2.1951 0.6301
1.8223 16.8520 15824 1.6852 0.6423
1.8118 16.9010 15870 2.2032 0.7689
1.816 16.9499 15916 1.7206 0.6537
1.8374 16.9989 15962 1.6348 0.5278
1.7789 17.0479 16008 1.6877 0.6529
1.7469 17.0969 16054 1.7128 0.6331
1.7637 17.1459 16100 1.5377 0.6423
1.7372 17.1949 16146 2.0307 0.6384
1.7499 17.2439 16192 1.7091 0.5111
1.7931 17.2929 16238 2.0855 0.5339
1.7451 17.3419 16284 1.6822 0.6476
1.8153 17.3908 16330 1.7438 0.6560
1.7375 17.4398 16376 1.4717 0.6430
1.7428 17.4888 16422 1.8217 0.6438
1.7769 17.5378 16468 2.3484 0.6484
1.7796 17.5868 16514 1.5592 0.6240
1.7906 17.6358 16560 1.6696 0.5400
1.7823 17.6848 16606 1.8514 0.6415
1.7789 17.7338 16652 1.9547 0.6369
1.7961 17.7827 16698 1.6291 0.6072
1.8065 17.8317 16744 1.7687 0.5118
1.7731 17.8807 16790 1.8033 0.6247
1.7882 17.9297 16836 1.7939 0.6232
1.8064 17.9787 16882 1.5902 0.6217
1.7373 18.0277 16928 1.7263 0.6522
1.6917 18.0767 16974 1.6079 0.6240
1.7446 18.1257 17020 1.7779 0.5004
1.7153 18.1747 17066 1.8259 0.6339
1.7126 18.2236 17112 2.3720 0.6148
1.7564 18.2726 17158 1.7281 0.6209
1.7314 18.3216 17204 1.9946 0.6392
1.7026 18.3706 17250 1.8865 0.5011
1.7182 18.4196 17296 1.9260 0.6171
1.7455 18.4686 17342 1.4056 0.5317
1.7392 18.5176 17388 1.6926 0.7338
1.7899 18.5666 17434 1.8091 0.6240
1.7806 18.6155 17480 1.7749 0.7681
1.7724 18.6645 17526 1.8705 0.7429
1.7587 18.7135 17572 2.3208 0.6331
1.7952 18.7625 17618 1.3462 0.6201
1.7307 18.8115 17664 1.8886 0.6224
1.753 18.8605 17710 1.3937 0.6041
1.7489 18.9095 17756 1.7212 0.6285
1.7813 18.9585 17802 1.4511 0.6339
1.809 19.0075 17848 1.8004 0.7109
1.7159 19.0564 17894 1.3388 0.6217
1.6689 19.1054 17940 1.5340 0.6369
1.7843 19.1544 17986 2.0322 0.6377
1.6666 19.2034 18032 1.6485 0.5050
1.687 19.2524 18078 1.6644 0.6316
1.749 19.3014 18124 1.6634 0.6415
1.7424 19.3504 18170 1.2414 0.6583
1.7427 19.3994 18216 1.6178 0.6194
1.7569 19.4483 18262 1.7098 0.6537
1.7066 19.4973 18308 1.9851 0.6079
1.6939 19.5463 18354 1.5820 0.6461
1.753 19.5953 18400 2.1611 0.6178
1.7409 19.6443 18446 1.6006 0.6293
1.7067 19.6933 18492 1.8803 0.6392
1.7357 19.7423 18538 1.7975 0.6285
1.7447 19.7913 18584 1.2941 0.6262
1.7333 19.8403 18630 1.5589 0.6323
1.6887 19.8892 18676 1.5650 0.6415
1.7471 19.9382 18722 1.8929 0.6354
1.7192 19.9872 18768 1.5802 0.6377
1.663 20.0362 18814 1.8607 0.6476
1.6894 20.0852 18860 1.7199 0.6461
1.6571 20.1342 18906 2.1788 0.5011
1.7115 20.1832 18952 1.6524 0.6484
1.7307 20.2322 18998 1.4865 0.6262
1.6654 20.2812 19044 2.1040 0.6590
1.6871 20.3301 19090 1.6146 0.6468
1.6979 20.3791 19136 1.3820 0.6522
1.7569 20.4281 19182 1.4875 0.6369
1.6833 20.4771 19228 2.1289 0.6316
1.6981 20.5261 19274 1.7743 0.6278
1.6844 20.5751 19320 1.7059 0.6621

Framework versions

  • Transformers 4.49.0
  • Pytorch 2.6.0+cu124
  • Datasets 3.4.0
  • Tokenizers 0.21.0
Downloads last month
11
Safetensors
Model size
32.6M params
Tensor type
F32
ยท
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Evaluation results