Legjobb magyar whisper modellek
Collection
13 items
•
Updated
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 |
---|---|---|---|---|---|
0.3208 | 0.3298 | 250 | 0.3558 | 34.5839 | 31.0969 |
0.2542 | 0.6596 | 500 | 0.2683 | 27.2010 | 24.2218 |
0.2204 | 0.9894 | 750 | 0.2035 | 22.2962 | 19.4960 |
0.1301 | 1.3193 | 1000 | 0.1673 | 17.6683 | 15.2446 |
0.1171 | 1.6491 | 1250 | 0.1433 | 15.2445 | 12.9677 |
0.1075 | 1.9789 | 1500 | 0.1192 | 12.8658 | 10.7827 |
0.0492 | 2.3087 | 1750 | 0.1091 | 11.2489 | 9.1877 |
0.0491 | 2.6385 | 2000 | 0.1046 | 10.7582 | 9.0543 |
0.0472 | 2.9683 | 2250 | 0.0945 | 9.0750 | 7.5037 |
0.0203 | 3.2982 | 2500 | 0.0932 | 8.5873 | 7.2428 |
0.0188 | 3.6280 | 2750 | 0.0900 | 8.2019 | 6.9671 |
0.0183 | 3.9578 | 3000 | 0.0859 | 7.5154 | 6.4008 |
0.0068 | 4.2876 | 3250 | 0.0837 | 7.2052 | 6.1785 |
0.0064 | 4.6174 | 3500 | 0.0843 | 6.9613 | 6.0213 |
0.0061 | 4.9472 | 3750 | 0.0847 | 6.9674 | 5.9383 |
0.0025 | 5.2770 | 4000 | 0.0851 | 6.6994 | 5.7723 |
0.0023 | 5.6069 | 4250 | 0.0847 | 6.6331 | 5.6863 |
0.0022 | 5.9367 | 4500 | 0.0844 | 6.6211 | 5.7338 |
0.0014 | 6.2665 | 4750 | 0.0855 | 6.5789 | 5.6834 |
0.0011 | 6.5963 | 5000 | 0.0856 | 6.5609 | 5.6567 |
0.0012 | 6.9261 | 5250 | 0.0862 | 6.5368 | 5.6270 |
0.0009 | 7.2559 | 5500 | 0.0870 | 6.5699 | 5.6597 |
0.0009 | 7.5858 | 5750 | 0.0873 | 6.5639 | 5.6597 |
0.001 | 7.9156 | 6000 | 0.0873 | 6.5518 | 5.6389 |
Base model
openai/whisper-small