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--- |
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language: |
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- nan |
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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_16_1 |
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- mozilla-foundation/common_voice_15_0 |
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model-index: |
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- name: Whisper Small Taiwanese |
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results: [] |
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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 Small Taiwanese |
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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 16.1 and the Common Voice 15.0 datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3736 |
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- Cer: 29.5906 |
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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: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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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: 100 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| 0.2295 | 1.13 | 3500 | 0.4268 | 32.4577 | |
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| 0.179 | 1.29 | 4000 | 0.4088 | 32.1109 | |
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| 0.161 | 1.45 | 4500 | 0.3923 | 30.9241 | |
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| 0.1607 | 1.61 | 5000 | 0.3840 | 30.1640 | |
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| 0.1336 | 1.77 | 5500 | 0.3783 | 29.7573 | |
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| 0.1258 | 1.93 | 6000 | 0.3736 | 29.5906 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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