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--- |
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language: |
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- hu |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- generated_from_trainer |
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datasets: |
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- common_voice_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Base Hu CV17 |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Common Voice 17.0 |
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type: common_voice_11_0 |
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config: hu |
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split: None |
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args: hu |
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metrics: |
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- name: Wer |
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type: wer |
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value: 8.132226504595316 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Whisper Base Hu CV17 |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1148 |
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- Wer Ortho: 8.9576 |
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- Wer: 8.1322 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 5000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:| |
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| 0.5156 | 0.3298 | 250 | 0.5620 | 52.2010 | 49.0898 | |
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| 0.3906 | 0.6596 | 500 | 0.4262 | 43.7131 | 40.2668 | |
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| 0.3276 | 0.9894 | 750 | 0.3243 | 33.3915 | 30.2728 | |
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| 0.2161 | 1.3193 | 1000 | 0.2639 | 27.8152 | 24.9778 | |
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| 0.2009 | 1.6491 | 1250 | 0.2314 | 24.8705 | 21.9923 | |
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| 0.1835 | 1.9789 | 1500 | 0.1938 | 21.4922 | 18.8260 | |
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| 0.0973 | 2.3087 | 1750 | 0.1748 | 18.8396 | 16.0243 | |
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| 0.0963 | 2.6385 | 2000 | 0.1600 | 17.0240 | 14.8651 | |
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| 0.0913 | 2.9683 | 2250 | 0.1414 | 14.0853 | 12.1198 | |
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| 0.046 | 3.2982 | 2500 | 0.1374 | 13.2000 | 11.4468 | |
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| 0.0447 | 3.6280 | 2750 | 0.1306 | 12.5677 | 10.9191 | |
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| 0.0409 | 3.9578 | 3000 | 0.1216 | 11.1436 | 9.8251 | |
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| 0.0173 | 4.2876 | 3250 | 0.1205 | 10.4812 | 9.2292 | |
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| 0.0165 | 4.6174 | 3500 | 0.1180 | 10.2343 | 9.0898 | |
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| 0.0152 | 4.9472 | 3750 | 0.1149 | 9.6200 | 8.5562 | |
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| 0.0061 | 5.2770 | 4000 | 0.1149 | 9.1021 | 8.1589 | |
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| 0.0056 | 5.6069 | 4250 | 0.1144 | 9.2406 | 8.2864 | |
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| 0.006 | 5.9367 | 4500 | 0.1138 | 9.0630 | 8.1559 | |
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| 0.0036 | 6.2665 | 4750 | 0.1148 | 9.0148 | 8.1737 | |
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| 0.0033 | 6.5963 | 5000 | 0.1148 | 8.9576 | 8.1322 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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