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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: 223.1608
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- - Wer: 0.3813
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- - Cer: 0.1186
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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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- | 3985.5875 | 1.0 | 1080 | 283.6873 | 0.5933 | 0.1666 |
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- | 665.3671 | 2.0 | 2160 | 223.1731 | 0.3818 | 0.1186 |
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- | 481.9958 | 3.0 | 3240 | 223.3375 | 0.4375 | 0.1354 |
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- | 442.5208 | 4.0 | 4320 | 236.0903 | 0.4233 | 0.1444 |
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- | 421.2154 | 5.0 | 5400 | 304.9387 | 0.4626 | 0.1564 |
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- | 431.8639 | 6.0 | 6480 | 298.5758 | 0.5199 | 0.1793 |
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- | 444.0917 | 7.0 | 7560 | 347.2079 | 0.5570 | 0.1988 |
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- | 451.4575 | 8.0 | 8640 | 375.0053 | 0.5731 | 0.2092 |
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- | 445.6943 | 9.0 | 9720 | 360.6095 | 0.6165 | 0.2406 |
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- | 457.5267 | 10.0 | 10800 | 413.6321 | 0.6510 | 0.2522 |
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- | 468.0921 | 11.0 | 11880 | 405.5587 | 0.6422 | 0.2447 |
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- | 469.1014 | 12.0 | 12960 | 423.7671 | 0.6370 | 0.2496 |
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- | 472.7028 | 13.0 | 14040 | 476.4250 | 0.6583 | 0.2521 |
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- | 477.4817 | 14.0 | 15120 | 431.7321 | 0.6496 | 0.2523 |
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- | 476.1046 | 15.0 | 16200 | 456.8628 | 0.6735 | 0.2686 |
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- | 478.12 | 16.0 | 17280 | 477.7070 | 0.6667 | 0.2542 |
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- | 439.3815 | 17.0 | 18360 | 441.1053 | 0.6577 | 0.2600 |
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- | 406.8238 | 18.0 | 19440 | 417.4709 | 0.6793 | 0.2496 |
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- | 381.221 | 19.0 | 20520 | 385.2146 | 0.6340 | 0.2346 |
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- | 349.7026 | 20.0 | 21600 | 417.8041 | 0.6319 | 0.2451 |
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- | 336.5142 | 21.0 | 22680 | 446.5249 | 0.6700 | 0.2432 |
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- | 316.0003 | 22.0 | 23760 | 414.9000 | 0.6574 | 0.2296 |
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- | 301.4025 | 23.0 | 24840 | 435.7232 | 0.6242 | 0.2294 |
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- | 276.272 | 24.0 | 25920 | 447.3780 | 0.6108 | 0.2273 |
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- | 267.6378 | 25.0 | 27000 | 412.0445 | 0.6068 | 0.2430 |
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- | 249.7945 | 26.0 | 28080 | 411.8222 | 0.6144 | 0.2386 |
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- | 238.2421 | 27.0 | 29160 | 403.0204 | 0.6283 | 0.2365 |
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- | 226.9799 | 28.0 | 30240 | 399.3009 | 0.6117 | 0.2249 |
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- | 209.7066 | 29.0 | 31320 | 418.8339 | 0.5925 | 0.2297 |
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- | 200.3202 | 30.0 | 32400 | 411.5076 | 0.6037 | 0.2221 |
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- | 193.5312 | 31.0 | 33480 | 421.6948 | 0.5925 | 0.2199 |
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- | 186.5759 | 32.0 | 34560 | 403.4677 | 0.5838 | 0.2202 |
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- | 176.4434 | 33.0 | 35640 | 449.6694 | 0.5985 | 0.2256 |
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- | 164.8203 | 34.0 | 36720 | 373.5114 | 0.5936 | 0.2238 |
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- | 153.8149 | 35.0 | 37800 | 387.5101 | 0.5713 | 0.2196 |
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- | 148.2955 | 36.0 | 38880 | 422.5177 | 0.5836 | 0.2219 |
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- | 139.206 | 37.0 | 39960 | 424.9959 | 0.5836 | 0.2233 |
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- | 137.3851 | 38.0 | 41040 | 428.6248 | 0.5863 | 0.2188 |
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- | 128.706 | 39.0 | 42120 | 420.8113 | 0.5759 | 0.2173 |
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- | 122.1991 | 40.0 | 43200 | 449.3417 | 0.5792 | 0.2218 |
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- | 114.7006 | 41.0 | 44280 | 472.1264 | 0.5743 | 0.2232 |
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- | 112.9208 | 42.0 | 45360 | 484.6367 | 0.5870 | 0.2134 |
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- | 104.3684 | 43.0 | 46440 | 475.1778 | 0.5617 | 0.2078 |
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- | 101.3417 | 44.0 | 47520 | 438.1502 | 0.5639 | 0.2081 |
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- | 93.9768 | 45.0 | 48600 | 450.4065 | 0.5582 | 0.2067 |
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- | 95.7108 | 46.0 | 49680 | 471.1706 | 0.5646 | 0.2114 |
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- | 85.0469 | 47.0 | 50760 | 466.9779 | 0.5614 | 0.2078 |
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- | 86.9859 | 48.0 | 51840 | 457.3221 | 0.5639 | 0.2069 |
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- | 82.6203 | 49.0 | 52920 | 467.1034 | 0.5559 | 0.2060 |
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- | 76.6465 | 50.0 | 54000 | 488.0355 | 0.5606 | 0.2075 |
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- | 72.2897 | 51.0 | 55080 | 506.8006 | 0.5529 | 0.2017 |
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- | 66.3217 | 52.0 | 56160 | 513.1782 | 0.5503 | 0.2066 |
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- | 63.3613 | 53.0 | 57240 | 509.8887 | 0.5571 | 0.2055 |
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- | 63.2432 | 54.0 | 58320 | 532.0458 | 0.5603 | 0.2093 |
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- | 58.8891 | 55.0 | 59400 | 529.6933 | 0.5526 | 0.2062 |
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- | 64.8119 | 56.0 | 60480 | 530.6396 | 0.5466 | 0.2025 |
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- | 53.2317 | 57.0 | 61560 | 548.7179 | 0.5415 | 0.1994 |
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- | 52.8465 | 58.0 | 62640 | 547.5447 | 0.5399 | 0.2007 |
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- | 50.4224 | 59.0 | 63720 | 545.9059 | 0.5426 | 0.2007 |
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- | 50.2867 | 60.0 | 64800 | 551.5420 | 0.5423 | 0.1998 |
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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: 447.4113
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+ - Wer: 0.4189
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+ - Cer: 0.1464
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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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+ | 5958.8606 | 1.0 | 1080 | 1153.3080 | 1.0 | 1.0 |
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+ | 2592.9389 | 2.0 | 2160 | 283.1772 | 0.4951 | 0.1571 |
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+ | 537.566 | 3.0 | 3240 | 201.5855 | 0.3804 | 0.1193 |
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+ | 384.8012 | 4.0 | 4320 | 204.7546 | 0.3827 | 0.1192 |
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+ | 329.1704 | 5.0 | 5400 | 222.9211 | 0.4004 | 0.1330 |
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+ | 297.2885 | 6.0 | 6480 | 234.7990 | 0.4164 | 0.1373 |
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+ | 289.8471 | 7.0 | 7560 | 269.3478 | 0.4203 | 0.1444 |
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+ | 279.9123 | 8.0 | 8640 | 275.8403 | 0.4045 | 0.1378 |
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+ | 266.2481 | 9.0 | 9720 | 283.7548 | 0.4549 | 0.1569 |
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+ | 262.1636 | 10.0 | 10800 | 295.8691 | 0.4176 | 0.1418 |
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+ | 261.9983 | 11.0 | 11880 | 317.6566 | 0.4650 | 0.1647 |
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+ | 250.5207 | 12.0 | 12960 | 293.3247 | 0.4670 | 0.1584 |
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+ | 253.3931 | 13.0 | 14040 | 386.1613 | 0.4613 | 0.1579 |
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+ | 256.4585 | 14.0 | 15120 | 304.7312 | 0.4691 | 0.1665 |
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+ | 243.4571 | 15.0 | 16200 | 320.8734 | 0.4972 | 0.1746 |
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+ | 238.0247 | 16.0 | 17280 | 322.0643 | 0.5134 | 0.1745 |
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+ | 222.2451 | 17.0 | 18360 | 329.7898 | 0.4839 | 0.1726 |
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+ | 207.317 | 18.0 | 19440 | 318.4466 | 0.4790 | 0.1731 |
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+ | 197.8997 | 19.0 | 20520 | 351.1442 | 0.4841 | 0.1716 |
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+ | 179.4079 | 20.0 | 21600 | 331.9079 | 0.4837 | 0.1729 |
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+ | 172.7036 | 21.0 | 22680 | 329.3491 | 0.4965 | 0.1733 |
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+ | 164.6914 | 22.0 | 23760 | 323.5361 | 0.4741 | 0.1709 |
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+ | 162.8205 | 23.0 | 24840 | 330.8535 | 0.4654 | 0.1645 |
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+ | 146.7201 | 24.0 | 25920 | 311.2600 | 0.4705 | 0.1693 |
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+ | 139.5994 | 25.0 | 27000 | 303.4479 | 0.4699 | 0.1708 |
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+ | 132.5791 | 26.0 | 28080 | 315.4704 | 0.4714 | 0.1760 |
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+ | 129.8284 | 27.0 | 29160 | 348.4702 | 0.4987 | 0.1848 |
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+ | 121.1056 | 28.0 | 30240 | 356.3646 | 0.4763 | 0.1639 |
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+ | 111.3771 | 29.0 | 31320 | 367.5717 | 0.4653 | 0.1690 |
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+ | 108.3256 | 30.0 | 32400 | 318.6406 | 0.4609 | 0.1651 |
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+ | 105.0885 | 31.0 | 33480 | 389.4572 | 0.4620 | 0.1680 |
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+ | 103.1692 | 32.0 | 34560 | 337.2362 | 0.4700 | 0.1634 |
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+ | 95.9316 | 33.0 | 35640 | 366.3456 | 0.4629 | 0.1639 |
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+ | 91.8423 | 34.0 | 36720 | 363.7527 | 0.4648 | 0.1661 |
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+ | 86.3658 | 35.0 | 37800 | 356.6330 | 0.4594 | 0.1668 |
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+ | 82.4053 | 36.0 | 38880 | 356.5138 | 0.4523 | 0.1673 |
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+ | 80.7273 | 37.0 | 39960 | 363.0180 | 0.4481 | 0.1580 |
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+ | 77.05 | 38.0 | 41040 | 378.6674 | 0.4514 | 0.1589 |
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+ | 73.1437 | 39.0 | 42120 | 391.6518 | 0.4522 | 0.1606 |
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+ | 70.8281 | 40.0 | 43200 | 375.7931 | 0.4569 | 0.1662 |
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+ | 66.8237 | 41.0 | 44280 | 365.8218 | 0.4429 | 0.1586 |
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+ | 64.3243 | 42.0 | 45360 | 400.6961 | 0.4725 | 0.1626 |
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+ | 59.5604 | 43.0 | 46440 | 417.8610 | 0.4539 | 0.1658 |
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+ | 57.4405 | 44.0 | 47520 | 377.4518 | 0.4474 | 0.1607 |
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+ | 54.1485 | 45.0 | 48600 | 375.0707 | 0.4465 | 0.1604 |
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+ | 54.5365 | 46.0 | 49680 | 376.6304 | 0.4378 | 0.1598 |
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+ | 49.1435 | 47.0 | 50760 | 412.8172 | 0.4378 | 0.1571 |
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+ | 49.8476 | 48.0 | 51840 | 402.0115 | 0.4437 | 0.1574 |
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+ | 48.5295 | 49.0 | 52920 | 400.1714 | 0.4317 | 0.1542 |
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+ | 45.4287 | 50.0 | 54000 | 395.4508 | 0.4307 | 0.1509 |
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+ | 39.8247 | 51.0 | 55080 | 419.6246 | 0.4255 | 0.1502 |
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+ | 38.7 | 52.0 | 56160 | 429.1017 | 0.4291 | 0.1519 |
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+ | 37.6587 | 53.0 | 57240 | 404.3343 | 0.4291 | 0.1503 |
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+ | 37.8115 | 54.0 | 58320 | 420.6967 | 0.4261 | 0.1501 |
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+ | 33.9205 | 55.0 | 59400 | 433.5399 | 0.4162 | 0.1469 |
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+ | 35.9225 | 56.0 | 60480 | 435.6997 | 0.4253 | 0.1497 |
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+ | 30.8749 | 57.0 | 61560 | 450.0592 | 0.4176 | 0.1470 |
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+ | 31.0171 | 58.0 | 62640 | 441.6796 | 0.4171 | 0.1478 |
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+ | 30.2995 | 59.0 | 63720 | 445.0783 | 0.4236 | 0.1479 |
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+ | 29.8519 | 60.0 | 64800 | 447.4113 | 0.4189 | 0.1464 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 1261996080
 
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  version https://git-lfs.github.com/spec/v1
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  size 1261996080