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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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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 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9011 |
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- Cer: 50.3995 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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_ratio: 0.1 |
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- num_epochs: 3.6 |
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### Training results |
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| Training Loss | Epoch | Step | Cer | Validation Loss | |
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|:-------------:|:-----:|:----:|:-------:|:---------------:| |
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| 1.1421 | 0.4 | 1000 | 61.1639 | 1.1692 | |
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| 1.0556 | 0.8 | 2000 | 51.7749 | 1.0215 | |
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| 0.7837 | 1.2 | 3000 | 54.1978 | 0.9572 | |
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| 0.7332 | 1.6 | 4000 | 50.3966 | 0.9230 | |
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| 0.6957 | 2.0 | 5000 | 50.5772 | 0.9064 | |
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| 0.6211 | 2.4 | 6000 | 0.9177 | 49.8590 | |
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| 0.5584 | 2.8 | 7000 | 0.8962 | 47.5366 | |
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| 0.3952 | 3.2 | 8000 | 0.9025 | 48.2925 | |
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| 0.4248 | 3.6 | 9000 | 0.9011 | 50.3995 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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