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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: 0.9537 |
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- Wer: 35.7102 |
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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: 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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| 0.0761 | 10.0 | 250 | 0.6787 | 41.9921 | |
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| 0.0557 | 20.0 | 500 | 0.7485 | 42.4731 | |
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| 0.0273 | 30.0 | 750 | 0.8616 | 40.3509 | |
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| 0.0123 | 40.0 | 1000 | 0.9085 | 38.3701 | |
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| 0.0024 | 50.0 | 1250 | 0.9378 | 36.7572 | |
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| 0.0002 | 60.0 | 1500 | 0.9400 | 36.5025 | |
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| 0.0001 | 70.0 | 1750 | 0.9507 | 35.9366 | |
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| 0.0001 | 80.0 | 2000 | 0.9537 | 35.7102 | |
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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 2.21.0 |
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- Tokenizers 0.19.1 |
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