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--- |
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library_name: transformers |
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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-akan |
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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-akan |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1860 |
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- Wer: 48.9551 |
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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: 32 |
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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: 2000 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| 0.1893 | 10.0 | 250 | 0.8613 | 62.1906 | |
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| 0.0452 | 20.0 | 500 | 0.9964 | 55.3579 | |
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| 0.0211 | 30.0 | 750 | 1.0689 | 52.0824 | |
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| 0.0069 | 40.0 | 1000 | 1.1229 | 52.2306 | |
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| 0.0008 | 50.0 | 1250 | 1.1646 | 49.0885 | |
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| 0.0002 | 60.0 | 1500 | 1.1773 | 49.2663 | |
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| 0.0002 | 70.0 | 1750 | 1.1838 | 49.0885 | |
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| 0.0002 | 80.0 | 2000 | 1.1860 | 48.9551 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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