| base_model: openai/whisper-large-v3 | |
| datasets: | |
| - bn | |
| language: bn | |
| library_name: transformers | |
| license: apache-2.0 | |
| model-index: | |
| - name: Finetuned openai/whisper-large-v3 on Bengali | |
| results: | |
| - task: | |
| type: automatic-speech-recognition | |
| name: Speech-to-Text | |
| dataset: | |
| name: Common Voice (Bengali) | |
| type: common_voice | |
| metrics: | |
| - type: wer | |
| value: 9.651 | |
| # Finetuned openai/whisper-large-v3 on 21409 Bengali training audio samples from cv-corpus-21.0-2025-03-14/bn. | |
| This model was created from the Mozilla.ai Blueprint: | |
| [speech-to-text-finetune](https://github.com/mozilla-ai/speech-to-text-finetune). | |
| ## Evaluation results on 9363 audio samples of Bengali: | |
| ### Baseline model (before finetuning) on Bengali | |
| - Word Error Rate (Normalized): 55.463 | |
| - Word Error Rate (Orthographic): 83.344 | |
| - Character Error Rate (Normalized): 35.66 | |
| - Character Error Rate (Orthographic): 40.754 | |
| - Loss: 0.567 | |
| ### Finetuned model (after finetuning) on Bengali | |
| - Word Error Rate (Normalized): 9.651 | |
| - Word Error Rate (Orthographic): 24.288 | |
| - Character Error Rate (Normalized): 4.876 | |
| - Character Error Rate (Orthographic): 6.312 | |
| - Loss: 0.092 | |