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Priyanship/base_sami_22k_ft_pseudo_widv_ep60_tde_shuffs3
base_sami_22k_ft_pseudo_widv_ep60_tde_shuffs3 is a automatic speech recognition model from Priyanship. Use it when you need speech turned into text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 4342.3143 | 1.0 | 972 | 316.8274 | 0.5589 | 0.1405 |
| 739.3038 | 2.0 | 1944 | 171.7839 | 0.2812 | 0.0688 |
| 543.3055 | 3.0 | 2916 | 245.0542 | 0.2999 | 0.0837 |
| 506.2439 | 4.0 | 3888 | 170.9789 | 0.2747 | 0.0711 |
| 489.5725 | 5.0 | 4860 | 153.4695 | 0.2966 | 0.0707 |
| 511.2345 | 6.0 | 5832 | 188.1195 | 0.2755 | 0.0731 |
| 548.9239 | 7.0 | 6804 | 215.1733 | 0.3164 | 0.0861 |
| 549.0804 | 8.0 | 7776 | 215.8654 | 0.3446 | 0.0941 |
| 590.6141 | 9.0 | 8748 | 227.8594 | 0.3684 | 0.0957 |
| 641.1532 | 10.0 | 9720 | 257.0021 | 0.3531 | 0.0998 |
| 653.7033 | 11.0 | 10692 | 263.8706 | 0.3835 | 0.1073 |
| 704.7661 | 12.0 | 11664 | 271.6261 | 0.4158 | 0.1212 |
| 739.9211 | 13.0 | 12636 | 311.8914 | 0.4486 | 0.1328 |
| 785.4281 | 14.0 | 13608 | 364.6550 | 0.5054 | 0.1502 |
| 826.7395 | 15.0 | 14580 | 317.6146 | 0.4881 | 0.1474 |
| 828.1573 | 16.0 | 15552 | 327.4776 | 0.4754 | 0.1461 |
| 810.4266 | 17.0 | 16524 | 321.7529 | 0.4818 | 0.1440 |
| 781.9373 | 18.0 | 17496 | 301.5043 | 0.4620 | 0.1341 |
| 745.831 | 19.0 | 18468 | 294.4062 | 0.4483 | 0.1268 |
| 720.9116 | 20.0 | 19440 | 281.9134 | 0.4185 | 0.1234 |
| 688.3029 | 21.0 | 20412 | 293.3218 | 0.4098 | 0.1180 |
| 667.9529 | 22.0 | 21384 | 298.2676 | 0.4274 | 0.1258 |
| 642.8454 | 23.0 | 22356 | 256.3312 | 0.4221 | 0.1183 |
| 624.7632 | 24.0 | 23328 | 267.7058 | 0.3898 | 0.1130 |
| 591.3171 | 25.0 | 24300 | 273.8975 | 0.3670 | 0.1089 |
| 581.4323 | 26.0 | 25272 | 221.8367 | 0.3508 | 0.0982 |
| 539.7339 | 27.0 | 26244 | 236.9720 | 0.3364 | 0.0969 |
| 536.5811 | 28.0 | 27216 | 215.0129 | 0.3269 | 0.0919 |
| 509.0496 | 29.0 | 28188 | 194.6736 | 0.3308 | 0.0928 |
| 491.9399 | 30.0 | 29160 | 211.2529 | 0.3198 | 0.0904 |
| 471.1835 | 31.0 | 30132 | 188.4942 | 0.2939 | 0.0825 |
| 451.6312 | 32.0 | 31104 | 188.2231 | 0.3014 | 0.0808 |
| 432.8911 | 33.0 | 32076 | 179.4153 | 0.3059 | 0.0815 |
| 426.9429 | 34.0 | 33048 | 178.9274 | 0.2877 | 0.0794 |
| 417.0888 | 35.0 | 34020 | 186.1045 | 0.2901 | 0.0813 |
| 390.4812 | 36.0 | 34992 | 176.1986 | 0.2750 | 0.0758 |
| 372.8215 | 37.0 | 35964 | 159.8896 | 0.2745 | 0.0743 |
| 362.2078 | 38.0 | 36936 | 171.5661 | 0.2874 | 0.0748 |
| 344.0364 | 39.0 | 37908 | 172.1537 | 0.2561 | 0.0707 |
| 332.623 | 40.0 | 38880 | 168.3665 | 0.2476 | 0.0669 |
| 312.4819 | 41.0 | 39852 | 152.4227 | 0.2464 | 0.0664 |
| 299.782 | 42.0 | 40824 | 147.3899 | 0.2375 | 0.0654 |
| 296.7858 | 43.0 | 41796 | 149.1521 | 0.2251 | 0.0624 |
| 277.1522 | 44.0 | 42768 | 162.4419 | 0.2247 | 0.0616 |
| 271.4269 | 45.0 | 43740 | 135.6027 | 0.2182 | 0.0595 |
| 253.2759 | 46.0 | 44712 | 142.2380 | 0.2197 | 0.0599 |
| 238.3421 | 47.0 | 45684 | 141.9042 | 0.2074 | 0.0558 |
| 232.9579 | 48.0 | 46656 | 148.5058 | 0.2011 | 0.0543 |
| 224.7665 | 49.0 | 47628 | 133.4907 | 0.1946 | 0.0537 |
| 211.1498 | 50.0 | 48600 | 140.2976 | 0.1956 | 0.0527 |
| 208.794 | 51.0 | 49572 | 132.7056 | 0.1867 | 0.0513 |
| 192.3078 | 52.0 | 50544 | 136.9901 | 0.1821 | 0.0498 |
| 186.0501 | 53.0 | 51516 | 139.0100 | 0.1829 | 0.0501 |
| 177.6769 | 54.0 | 52488 | 137.1026 | 0.1756 | 0.0481 |
| 168.7363 | 55.0 | 53460 | 139.9865 | 0.1753 | 0.0481 |
| 162.5846 | 56.0 | 54432 | 137.0002 | 0.1699 | 0.0459 |
| 156.3388 | 57.0 | 55404 | 137.2488 | 0.1687 | 0.0461 |
| 150.741 | 58.0 | 56376 | 135.8838 | 0.1664 | 0.0457 |
| 146.9406 | 59.0 | 57348 | 137.1219 | 0.1640 | 0.0447 |
| 149.5945 | 60.0 | 58320 | 136.3459 | 0.1648 | 0.0448 |