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--- |
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library_name: transformers |
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license: apache-2.0 |
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datasets: |
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- mozilla-foundation/common_voice_17_0 |
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language: |
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- bn |
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metrics: |
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- wer |
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base_model: |
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- Da4ThEdge/base-bn-lora-adapter-cp10k |
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model-index: |
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- name: Whisper Base Bn (10k steps) - BanglaBridge |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Common Voice 17.0 |
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type: mozilla-foundation/common_voice_17_0 |
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config: bn |
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split: None |
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args: 'config: bn, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 23.31617 |
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--- |
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# Whisper Base Bn (10k steps) - by BanglaBridge |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 17.0 dataset. |
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It is the merged model from this fine-tuned PEFT LoRA adapter: [Da4ThEdge/base-bn-lora-adapter-cp10k](https://huggingface.co/Da4ThEdge/base-bn-lora-adapter-cp10k) |
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After 10k steps it achieves the following results on the test set: |
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- Wer: 46.25395 |
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- Normalized Wer: 23.31617 |
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Refer to the 20k full-trained adapter repository for more details on the finetuning: [banglabridge/base-bn-lora-adapter](https://huggingface.co/banglabridge/base-bn-lora-adapter) |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.6.0+cu124 |
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- Tokenizers 0.19.1 |
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- Peft 0.10.0 |
