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--- |
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license: apache-2.0 |
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language: |
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- ru |
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library_name: transformers |
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pipeline_tag: automatic-speech-recognition |
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tags: |
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- asr |
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- Pytorch |
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- pruned |
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- audio |
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- automatic-speech-recognition |
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--- |
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# Whisper-small-ru-pruned |
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## Model info |
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This is a pruned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) model with only russian tokens left. |
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Pruning was made without any fine-tuning. Method from [this post](https://medium.com/m/global-identity-2?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fhow-to-adapt-a-multilingual-t5-model-for-a-single-language-b9f94f3d9c90) was used. |
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## Size |
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Only 10% tokens was left including special whisper tokens, added whisper tokens, 100 most popular tokens from tokenizer and 3000 most popular Russian tokens computed by tokenization of russian text corpus. |
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Model size is 15% less then original whisper-small: |
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| | openai/whisper-small | waveletdeboshir/whisper-small-ru-pruned | |
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| :------ | :------ | :------ | |
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| n of parameters | 242 M | 205 M | |
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| n of parameters (with proj_out layer) | 281 M | 209 M | |
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| model file size | 967 Mb | 837 Mb | |
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| vocab_size | 51865 | 4705 | |
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## Metrics |
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TODO |
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You can fine-tune this model on your data to achive better performance. |
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## Colab for pruning |
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TODO |
