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--- |
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language: |
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- multilingual |
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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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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Wolof |
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results: [] |
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datasets: |
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- serge-wilson/wolof_audio_transcription |
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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 Wolof |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the [serge-wilson/wolof-transcription](https://huggingface.co/datasets/serge-wilson/wolof_audio_transcription) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1692 |
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- Wer: 15.3788 |
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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: 500 |
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- training_steps: 4000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| 0.4244 | 1.14 | 1000 | 0.3268 | 28.2959 | |
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| 0.1663 | 2.29 | 2000 | 0.2148 | 20.7080 | |
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| 0.0787 | 3.43 | 3000 | 0.1761 | 15.8736 | |
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| 0.0355 | 4.57 | 4000 | 0.1692 | 15.3788 | |
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### Framework versions |
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- Transformers 4.34.0.dev0 |
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- Pytorch 2.0.0 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
