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README.md
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tags:
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- hf-asr-leaderboard
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- generated_from_trainer
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model-index:
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- name: Whisper Small - Swedish
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results: []
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# Whisper Small - Swedish
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
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## Model description
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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:
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.25.0.dev0
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tags:
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- hf-asr-leaderboard
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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 - Swedish
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results: []
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# Whisper Small - Swedish
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4915
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- Wer: 25.5384
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## Model description
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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: 6000
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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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| 0.2107 | 1.3 | 1000 | 0.4673 | 34.0432 |
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| 0.0821 | 2.59 | 2000 | 0.4284 | 27.4152 |
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| 0.0378 | 3.89 | 3000 | 0.4210 | 25.3637 |
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| 0.0042 | 5.18 | 4000 | 0.4247 | 23.5541 |
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| 0.001 | 6.48 | 5000 | 0.4286 | 22.7770 |
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| 0.0106 | 7.77 | 6000 | 0.4915 | 25.5384 |
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### Framework versions
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- Transformers 4.25.0.dev0
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