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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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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- 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:
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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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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: 0.9100
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- Wer: 66.6103
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## Model description
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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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| 0.2912 | 11.6279 | 1000 | 0.7922 | 61.7088 |
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| 0.0927 | 23.2558 | 2000 | 0.9100 | 66.6103 |
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### Framework versions
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- Transformers 4.44.2
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model.safetensors
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