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license: apache-2.0 |
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# Whisper Small - Swedish |
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This is a fine-tuned version of the [openai/whisper-small](https://huggingface.co/openai/whisper-small) model on the Common Voice 11.0 dataset. |
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The following results were achieved after training for 4000 optimization steps: |
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* Training Loss: 0.003900 |
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* Validation Loss: 0.326255 |
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* WER: 19.894598 |
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# Training hyperparameters |
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The following hyperparameters were used during training: |
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* train_batch_size: 16 |
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* gradient_accumulation_steps: 1 |
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* learning_rate: 1e-5 |
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* eval_batch_size: 8 |
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* max_steps: 4000 |
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* eval_steps: 1000 |
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# Framework Versions |
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* Transformers 4.25.0 |
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* Pytorch 1.12.1 |
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* Datasets 2.7.1 |
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