Legjobb magyar whisper modellek
Collection
13 items
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Updated
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This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
---|---|---|---|---|---|
0.5156 | 0.3298 | 250 | 0.5620 | 52.2010 | 49.0898 |
0.3906 | 0.6596 | 500 | 0.4262 | 43.7131 | 40.2668 |
0.3276 | 0.9894 | 750 | 0.3243 | 33.3915 | 30.2728 |
0.2161 | 1.3193 | 1000 | 0.2639 | 27.8152 | 24.9778 |
0.2009 | 1.6491 | 1250 | 0.2314 | 24.8705 | 21.9923 |
0.1835 | 1.9789 | 1500 | 0.1938 | 21.4922 | 18.8260 |
0.0973 | 2.3087 | 1750 | 0.1748 | 18.8396 | 16.0243 |
0.0963 | 2.6385 | 2000 | 0.1600 | 17.0240 | 14.8651 |
0.0913 | 2.9683 | 2250 | 0.1414 | 14.0853 | 12.1198 |
0.046 | 3.2982 | 2500 | 0.1374 | 13.2000 | 11.4468 |
0.0447 | 3.6280 | 2750 | 0.1306 | 12.5677 | 10.9191 |
0.0409 | 3.9578 | 3000 | 0.1216 | 11.1436 | 9.8251 |
0.0173 | 4.2876 | 3250 | 0.1205 | 10.4812 | 9.2292 |
0.0165 | 4.6174 | 3500 | 0.1180 | 10.2343 | 9.0898 |
0.0152 | 4.9472 | 3750 | 0.1149 | 9.6200 | 8.5562 |
0.0061 | 5.2770 | 4000 | 0.1149 | 9.1021 | 8.1589 |
0.0056 | 5.6069 | 4250 | 0.1144 | 9.2406 | 8.2864 |
0.006 | 5.9367 | 4500 | 0.1138 | 9.0630 | 8.1559 |
0.0036 | 6.2665 | 4750 | 0.1148 | 9.0148 | 8.1737 |
0.0033 | 6.5963 | 5000 | 0.1148 | 8.9576 | 8.1322 |
Base model
openai/whisper-small