Legjobb magyar whisper modellek
Collection
13 items
•
Updated
This model is a fine-tuned version of openai/whisper-tiny 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 |
---|---|---|---|---|---|
0.6432 | 0.3298 | 250 | 0.7031 | 59.9211 | 57.3051 |
0.4839 | 0.6596 | 500 | 0.5256 | 50.4185 | 47.3406 |
0.4127 | 0.9894 | 750 | 0.4089 | 40.9250 | 37.8002 |
0.2858 | 1.3193 | 1000 | 0.3434 | 34.4725 | 31.8885 |
0.2616 | 1.6491 | 1250 | 0.3027 | 32.2956 | 29.2203 |
0.2448 | 1.9789 | 1500 | 0.2571 | 28.1705 | 25.3780 |
0.1474 | 2.3087 | 1750 | 0.2318 | 25.4426 | 22.8343 |
0.1434 | 2.6385 | 2000 | 0.2112 | 22.7749 | 20.3647 |
0.14 | 2.9683 | 2250 | 0.1922 | 20.1102 | 17.7883 |
0.0768 | 3.2982 | 2500 | 0.1797 | 18.2344 | 15.9917 |
0.0764 | 3.6280 | 2750 | 0.1678 | 16.5573 | 14.6161 |
0.0737 | 3.9578 | 3000 | 0.1573 | 15.0337 | 13.6199 |
0.0375 | 4.2876 | 3250 | 0.1538 | 14.0130 | 12.3243 |
0.0357 | 4.6174 | 3500 | 0.1495 | 13.1970 | 11.7106 |
0.033 | 4.9472 | 3750 | 0.1435 | 11.9234 | 10.8005 |
0.0138 | 5.2770 | 4000 | 0.1422 | 11.8873 | 10.7026 |
0.0137 | 5.6069 | 4250 | 0.1398 | 11.4477 | 10.4684 |
0.0135 | 5.9367 | 4500 | 0.1381 | 11.1436 | 10.2639 |
0.0072 | 6.2665 | 4750 | 0.1388 | 10.7853 | 9.9140 |
0.0065 | 6.5963 | 5000 | 0.1387 | 10.7883 | 9.9259 |
Base model
openai/whisper-tiny