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Automatic Speech Recognition
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Safetensors
wav2vec2
Generated from Trainer
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  1. README.md +63 -63
  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4442
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- - Wer: 0.3509
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- - Cer: 0.1241
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  ## Model description
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@@ -51,66 +51,66 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
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- | 0.1355 | 1.0 | 1080 | 0.4442 | 0.3513 | 0.1242 |
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- | 0.1271 | 2.0 | 2160 | 0.4744 | 0.3725 | 0.1320 |
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- | 0.1255 | 3.0 | 3240 | 0.5319 | 0.3862 | 0.1515 |
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- | 0.1335 | 4.0 | 4320 | 0.5112 | 0.3966 | 0.1391 |
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- | 0.1387 | 5.0 | 5400 | 0.5255 | 0.4175 | 0.1589 |
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- | 0.1441 | 6.0 | 6480 | 0.6283 | 0.4351 | 0.1554 |
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- | 0.1513 | 7.0 | 7560 | 0.5583 | 0.4331 | 0.1520 |
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- | 0.1557 | 8.0 | 8640 | 0.7035 | 0.5014 | 0.1839 |
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- | 0.1634 | 9.0 | 9720 | 0.6696 | 0.4711 | 0.1898 |
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- | 0.1696 | 10.0 | 10800 | 0.6148 | 0.4605 | 0.1600 |
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- | 0.1774 | 11.0 | 11880 | 0.7656 | 0.4981 | 0.1808 |
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- | 0.1687 | 12.0 | 12960 | 0.7117 | 0.5232 | 0.1954 |
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- | 0.1825 | 13.0 | 14040 | 0.6914 | 0.5256 | 0.1866 |
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- | 0.1781 | 14.0 | 15120 | 0.7841 | 0.5473 | 0.2090 |
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- | 0.186 | 15.0 | 16200 | 0.6777 | 0.5385 | 0.1943 |
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- | 0.1784 | 16.0 | 17280 | 0.8023 | 0.5694 | 0.1937 |
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- | 0.1666 | 17.0 | 18360 | 0.6940 | 0.5600 | 0.2074 |
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- | 0.1583 | 18.0 | 19440 | 0.8497 | 0.6181 | 0.2427 |
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- | 0.1532 | 19.0 | 20520 | 0.6177 | 0.5248 | 0.1960 |
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- | 0.138 | 20.0 | 21600 | 0.7172 | 0.5287 | 0.2150 |
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- | 0.1342 | 21.0 | 22680 | 0.7150 | 0.5335 | 0.2018 |
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- | 0.1258 | 22.0 | 23760 | 0.7246 | 0.5443 | 0.2113 |
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- | 0.1228 | 23.0 | 24840 | 0.7503 | 0.5336 | 0.2150 |
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- | 0.1153 | 24.0 | 25920 | 0.6936 | 0.5147 | 0.1934 |
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- | 0.1097 | 25.0 | 27000 | 0.7184 | 0.5125 | 0.1931 |
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- | 0.1018 | 26.0 | 28080 | 0.7428 | 0.5290 | 0.1954 |
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- | 0.0951 | 27.0 | 29160 | 0.9668 | 0.5683 | 0.2780 |
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- | 0.0883 | 28.0 | 30240 | 0.8088 | 0.5249 | 0.1948 |
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- | 0.0888 | 29.0 | 31320 | 0.7689 | 0.5063 | 0.1883 |
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- | 0.0779 | 30.0 | 32400 | 0.7802 | 0.5211 | 0.2022 |
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- | 0.0781 | 31.0 | 33480 | 0.7932 | 0.5290 | 0.1991 |
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- | 0.0729 | 32.0 | 34560 | 0.7396 | 0.5035 | 0.1849 |
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- | 0.0662 | 33.0 | 35640 | 0.7344 | 0.5158 | 0.2065 |
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- | 0.0653 | 34.0 | 36720 | 0.7865 | 0.5191 | 0.1987 |
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- | 0.0636 | 35.0 | 37800 | 0.7694 | 0.4953 | 0.1874 |
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- | 0.0618 | 36.0 | 38880 | 0.7621 | 0.5104 | 0.1889 |
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- | 0.0549 | 37.0 | 39960 | 0.7831 | 0.5058 | 0.1884 |
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- | 0.0548 | 38.0 | 41040 | 0.8388 | 0.5074 | 0.1914 |
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- | 0.0479 | 39.0 | 42120 | 0.8141 | 0.5115 | 0.1928 |
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- | 0.0467 | 40.0 | 43200 | 0.8153 | 0.4972 | 0.1861 |
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- | 0.0425 | 41.0 | 44280 | 0.7245 | 0.4878 | 0.1769 |
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- | 0.0402 | 42.0 | 45360 | 0.8202 | 0.4994 | 0.1851 |
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- | 0.0408 | 43.0 | 46440 | 0.7524 | 0.5041 | 0.1924 |
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- | 0.039 | 44.0 | 47520 | 0.7910 | 0.4937 | 0.1870 |
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- | 0.0319 | 45.0 | 48600 | 0.8349 | 0.5027 | 0.1916 |
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- | 0.0315 | 46.0 | 49680 | 0.8406 | 0.4894 | 0.1866 |
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- | 0.0324 | 47.0 | 50760 | 0.8841 | 0.4877 | 0.1777 |
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- | 0.0267 | 48.0 | 51840 | 0.8590 | 0.5039 | 0.1896 |
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- | 0.0263 | 49.0 | 52920 | 0.7702 | 0.4833 | 0.1805 |
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- | 0.0242 | 50.0 | 54000 | 0.8420 | 0.4801 | 0.1833 |
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- | 0.0237 | 51.0 | 55080 | 0.8622 | 0.4814 | 0.1834 |
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- | 0.0214 | 52.0 | 56160 | 0.8834 | 0.4768 | 0.1850 |
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- | 0.0188 | 53.0 | 57240 | 0.9399 | 0.4766 | 0.1840 |
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- | 0.0194 | 54.0 | 58320 | 0.8807 | 0.4735 | 0.1822 |
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- | 0.0165 | 55.0 | 59400 | 0.8844 | 0.4646 | 0.1783 |
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- | 0.0145 | 56.0 | 60480 | 0.9100 | 0.4662 | 0.1743 |
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- | 0.0143 | 57.0 | 61560 | 0.9427 | 0.4615 | 0.1768 |
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- | 0.0134 | 58.0 | 62640 | 0.9331 | 0.4586 | 0.1747 |
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- | 0.0139 | 59.0 | 63720 | 0.9063 | 0.4553 | 0.1714 |
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- | 0.011 | 60.0 | 64800 | 0.9166 | 0.4569 | 0.1716 |
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  ### Framework versions
 
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1908
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+ - Wer: 0.5762
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+ - Cer: 0.2198
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
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+ | 0.126 | 1.0 | 1080 | 0.4804 | 0.3867 | 0.1485 |
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+ | 0.1441 | 2.0 | 2160 | 0.6097 | 0.4424 | 0.1950 |
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+ | 0.1675 | 3.0 | 3240 | 0.5237 | 0.4448 | 0.1676 |
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+ | 0.1919 | 4.0 | 4320 | 0.6256 | 0.4844 | 0.1884 |
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+ | 0.2168 | 5.0 | 5400 | 0.6817 | 0.5131 | 0.1992 |
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+ | 0.2411 | 6.0 | 6480 | 0.6816 | 0.5234 | 0.2041 |
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+ | 0.2493 | 7.0 | 7560 | 0.8295 | 0.6788 | 0.2559 |
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+ | 0.2718 | 8.0 | 8640 | 0.8849 | 0.6757 | 0.2669 |
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+ | 0.2922 | 9.0 | 9720 | 1.0527 | 0.6722 | 0.3401 |
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+ | 0.3156 | 10.0 | 10800 | 1.0661 | 0.7528 | 0.3576 |
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+ | 0.3273 | 11.0 | 11880 | 1.0083 | 0.7841 | 0.2930 |
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+ | 0.3216 | 12.0 | 12960 | 1.1305 | 0.7282 | 0.3154 |
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+ | 0.3498 | 13.0 | 14040 | 1.0759 | 0.7312 | 0.3106 |
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+ | 0.3553 | 14.0 | 15120 | 0.8732 | 0.6757 | 0.2803 |
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+ | 0.3582 | 15.0 | 16200 | 1.0551 | 0.7623 | 0.3185 |
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+ | 0.3607 | 16.0 | 17280 | 1.0535 | 0.7483 | 0.3101 |
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+ | 0.3447 | 17.0 | 18360 | 1.0640 | 0.7369 | 0.3081 |
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+ | 0.325 | 18.0 | 19440 | 1.0327 | 0.7535 | 0.2905 |
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+ | 0.3022 | 19.0 | 20520 | 0.9870 | 0.7232 | 0.2887 |
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+ | 0.2825 | 20.0 | 21600 | 0.9183 | 0.6864 | 0.2806 |
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+ | 0.2706 | 21.0 | 22680 | 0.9366 | 0.6812 | 0.2860 |
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+ | 0.2507 | 22.0 | 23760 | 0.9585 | 0.6941 | 0.2608 |
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+ | 0.237 | 23.0 | 24840 | 1.0100 | 0.6798 | 0.2802 |
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+ | 0.2298 | 24.0 | 25920 | 0.9185 | 0.6349 | 0.2449 |
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+ | 0.221 | 25.0 | 27000 | 0.9353 | 0.6580 | 0.2785 |
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+ | 0.2052 | 26.0 | 28080 | 0.8652 | 0.6493 | 0.2507 |
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+ | 0.1928 | 27.0 | 29160 | 0.8859 | 0.6776 | 0.2631 |
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+ | 0.1889 | 28.0 | 30240 | 0.9240 | 0.6637 | 0.2666 |
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+ | 0.1771 | 29.0 | 31320 | 0.9043 | 0.6256 | 0.2493 |
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+ | 0.163 | 30.0 | 32400 | 0.9131 | 0.6504 | 0.2621 |
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+ | 0.1603 | 31.0 | 33480 | 0.8102 | 0.6319 | 0.2406 |
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+ | 0.1447 | 32.0 | 34560 | 0.9245 | 0.6337 | 0.2448 |
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+ | 0.1418 | 33.0 | 35640 | 0.9590 | 0.6236 | 0.2530 |
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+ | 0.1415 | 34.0 | 36720 | 0.9275 | 0.6345 | 0.2579 |
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+ | 0.1313 | 35.0 | 37800 | 0.8644 | 0.6280 | 0.2498 |
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+ | 0.1285 | 36.0 | 38880 | 0.9071 | 0.625 | 0.2651 |
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+ | 0.1204 | 37.0 | 39960 | 0.8658 | 0.6092 | 0.2387 |
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+ | 0.1116 | 38.0 | 41040 | 0.8684 | 0.6267 | 0.2459 |
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+ | 0.102 | 39.0 | 42120 | 0.9792 | 0.6245 | 0.2410 |
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+ | 0.0966 | 40.0 | 43200 | 0.8881 | 0.6163 | 0.2466 |
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+ | 0.0934 | 41.0 | 44280 | 0.8669 | 0.5971 | 0.2340 |
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+ | 0.0847 | 42.0 | 45360 | 0.9718 | 0.6207 | 0.2371 |
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+ | 0.0828 | 43.0 | 46440 | 0.9573 | 0.6223 | 0.2393 |
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+ | 0.0727 | 44.0 | 47520 | 0.9872 | 0.6097 | 0.2358 |
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+ | 0.0701 | 45.0 | 48600 | 0.9421 | 0.6116 | 0.2446 |
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+ | 0.0648 | 46.0 | 49680 | 0.9591 | 0.6043 | 0.2467 |
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+ | 0.0634 | 47.0 | 50760 | 0.9991 | 0.6110 | 0.2355 |
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+ | 0.0573 | 48.0 | 51840 | 0.9873 | 0.6054 | 0.2345 |
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+ | 0.0527 | 49.0 | 52920 | 0.9886 | 0.5936 | 0.2325 |
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+ | 0.0506 | 50.0 | 54000 | 1.0199 | 0.5941 | 0.2287 |
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+ | 0.0486 | 51.0 | 55080 | 1.0691 | 0.5881 | 0.2263 |
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+ | 0.0447 | 52.0 | 56160 | 1.0141 | 0.5893 | 0.2296 |
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+ | 0.0419 | 53.0 | 57240 | 1.0658 | 0.5873 | 0.2279 |
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+ | 0.0376 | 54.0 | 58320 | 1.1441 | 0.5889 | 0.2254 |
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+ | 0.0355 | 55.0 | 59400 | 1.1462 | 0.5881 | 0.2249 |
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+ | 0.0335 | 56.0 | 60480 | 1.1712 | 0.5860 | 0.2244 |
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+ | 0.0296 | 57.0 | 61560 | 1.1622 | 0.5786 | 0.2218 |
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+ | 0.0301 | 58.0 | 62640 | 1.1704 | 0.5840 | 0.2235 |
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+ | 0.0283 | 59.0 | 63720 | 1.1973 | 0.5805 | 0.2213 |
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+ | 0.0245 | 60.0 | 64800 | 1.1908 | 0.5762 | 0.2198 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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