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--- |
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language: |
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- bn |
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license: apache-2.0 |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Bengali |
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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: mozilla-foundation/common_voice_11_0 bn |
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type: mozilla-foundation/common_voice_11_0 |
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config: bn |
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split: test |
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args: bn |
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metrics: |
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- name: Wer |
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type: wer |
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value: 18.22 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Whisper Small Bengali |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 bn dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1638 |
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- Wer: 18.22 |
