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whisper-base-basque

Safetensors
whisper
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  1. README.md +22 -22
  2. model.safetensors +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2499
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- - Wer: 58.5175
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  ## Model description
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@@ -51,26 +51,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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- | 0.4078 | 0.25 | 500 | 0.5613 | 137.5859 |
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- | 0.2533 | 0.5 | 1000 | 0.3971 | 103.7717 |
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- | 0.1994 | 0.74 | 1500 | 0.3350 | 72.6240 |
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- | 0.1723 | 0.99 | 2000 | 0.3100 | 54.8270 |
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- | 0.1403 | 1.24 | 2500 | 0.2895 | 47.9955 |
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- | 0.1318 | 1.49 | 3000 | 0.2799 | 63.6193 |
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- | 0.1279 | 1.73 | 3500 | 0.2711 | 76.5205 |
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- | 0.1192 | 1.98 | 4000 | 0.2666 | 59.5729 |
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- | 0.104 | 2.23 | 4500 | 0.2604 | 54.1401 |
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- | 0.0986 | 2.48 | 5000 | 0.2601 | 53.6406 |
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- | 0.0929 | 2.73 | 5500 | 0.2540 | 59.4667 |
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- | 0.0971 | 2.97 | 6000 | 0.2522 | 41.1265 |
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- | 0.0806 | 3.22 | 6500 | 0.2526 | 52.0420 |
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- | 0.0812 | 3.47 | 7000 | 0.2508 | 54.2213 |
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- | 0.0816 | 3.72 | 7500 | 0.2498 | 55.6263 |
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- | 0.0799 | 3.96 | 8000 | 0.2511 | 62.8513 |
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- | 0.0723 | 4.21 | 8500 | 0.2500 | 55.0456 |
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- | 0.0724 | 4.46 | 9000 | 0.2498 | 59.0483 |
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- | 0.0707 | 4.71 | 9500 | 0.2502 | 53.7030 |
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- | 0.0685 | 4.96 | 10000 | 0.2499 | 58.5175 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2498
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+ - Wer: 62.1644
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 0.4078 | 0.25 | 500 | 0.5613 | 136.6055 |
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+ | 0.2533 | 0.5 | 1000 | 0.3973 | 105.6700 |
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+ | 0.1994 | 0.74 | 1500 | 0.3350 | 73.1485 |
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+ | 0.1723 | 0.99 | 2000 | 0.3101 | 55.7387 |
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+ | 0.1403 | 1.24 | 2500 | 0.2895 | 49.8689 |
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+ | 0.1318 | 1.49 | 3000 | 0.2800 | 70.4321 |
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+ | 0.1279 | 1.73 | 3500 | 0.2711 | 80.4296 |
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+ | 0.1192 | 1.98 | 4000 | 0.2667 | 60.5533 |
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+ | 0.104 | 2.23 | 4500 | 0.2605 | 54.0402 |
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+ | 0.0986 | 2.48 | 5000 | 0.2601 | 53.4158 |
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+ | 0.0929 | 2.73 | 5500 | 0.2539 | 61.0653 |
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+ | 0.0971 | 2.97 | 6000 | 0.2521 | 45.2104 |
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+ | 0.0806 | 3.22 | 6500 | 0.2526 | 51.5736 |
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+ | 0.0812 | 3.47 | 7000 | 0.2509 | 53.9903 |
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+ | 0.0817 | 3.72 | 7500 | 0.2498 | 56.8440 |
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+ | 0.0799 | 3.96 | 8000 | 0.2511 | 65.1305 |
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+ | 0.0723 | 4.21 | 8500 | 0.2500 | 55.6326 |
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+ | 0.0724 | 4.46 | 9000 | 0.2498 | 60.2910 |
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+ | 0.0707 | 4.71 | 9500 | 0.2501 | 59.5854 |
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+ | 0.0685 | 4.96 | 10000 | 0.2498 | 62.1644 |
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  ### Framework versions
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