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--- |
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library_name: transformers |
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language: |
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- sw |
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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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- mozilla-foundation/common_voice_17_0 |
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metrics: |
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- wer |
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model-index: |
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- name: stt-april-1 |
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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 |
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type: mozilla-foundation/common_voice_17_0 |
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metrics: |
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- name: Wer |
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type: wer |
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value: 26.149347116430903 |
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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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# stt-april-1 |
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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 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7422 |
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- Wer Ortho: 32.1876 |
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- Wer: 26.1493 |
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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: 0.0001 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: constant_with_warmup |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 10000 |
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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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| 0.6457 | 0.6180 | 500 | 0.6308 | 38.7728 | 31.6649 | |
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| 0.3566 | 1.2361 | 1000 | 0.5699 | 36.3837 | 29.0941 | |
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| 0.3687 | 1.8541 | 1500 | 0.5554 | 34.7230 | 27.5095 | |
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| 0.2412 | 2.4722 | 2000 | 0.5469 | 31.7690 | 25.0986 | |
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| 0.1654 | 3.0902 | 2500 | 0.6037 | 32.8070 | 26.1459 | |
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| 0.172 | 3.7083 | 3000 | 0.5907 | 32.5790 | 25.2142 | |
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| 0.1214 | 4.3263 | 3500 | 0.6065 | 31.8337 | 24.9354 | |
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| 0.1488 | 4.9444 | 4000 | 0.6024 | 31.5376 | 24.9966 | |
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| 0.1034 | 5.5624 | 4500 | 0.6288 | 32.1161 | 25.4931 | |
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| 0.0818 | 6.1805 | 5000 | 0.6470 | 31.9051 | 25.5373 | |
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| 0.0955 | 6.7985 | 5500 | 0.6566 | 32.1195 | 25.4795 | |
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| 0.0744 | 7.4166 | 6000 | 0.6748 | 31.9153 | 25.6257 | |
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| 0.0784 | 8.0346 | 6500 | 0.6908 | 32.3577 | 25.9759 | |
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| 0.0684 | 8.6527 | 7000 | 0.6959 | 32.6538 | 26.3772 | |
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| 0.0587 | 9.2707 | 7500 | 0.7318 | 32.2931 | 25.7991 | |
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| 0.0656 | 9.8888 | 8000 | 0.7182 | 32.1467 | 25.8535 | |
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| 0.0589 | 10.5068 | 8500 | 0.7361 | 32.4428 | 26.3500 | |
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| 0.049 | 11.1248 | 9000 | 0.7597 | 32.3884 | 25.9827 | |
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| 0.0562 | 11.7429 | 9500 | 0.7504 | 32.2318 | 25.7481 | |
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| 0.0503 | 12.3609 | 10000 | 0.7422 | 32.1876 | 26.1493 | |
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### Framework versions |
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- Transformers 4.47.0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.3.1 |
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- Tokenizers 0.21.0 |
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