End of training
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README.md
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base_model: openai/whisper-tiny
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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-tiny-akan
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results: []
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# whisper-tiny-akan
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9606
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- Wer: 70.5282
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## Model description
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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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| 0.2351 | 11.6279 | 1000 | 0.8391 | 67.0857 |
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| 0.0976 | 23.2558 | 2000 | 0.9606 | 70.5282 |
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### Framework versions
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- Transformers 4.44.2
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base_model: openai/whisper-tiny
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tags:
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- generated_from_trainer
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model-index:
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- name: whisper-tiny-akan
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results: []
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# whisper-tiny-akan
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
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## Model description
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- training_steps: 2000
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.44.2
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model.safetensors
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training_args.bin
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