Finetuned Whisper Large V2

This repository contains a fine-tuned version of OpenAI's Whisper Large V2 model, trained on the Common Voice 17 dataset. The model achieves a Word Error Rate (WER) of 45%, providing improved transcription capabilities for multilingual speech recognition tasks. Included are the fine-tuning scripts, adapter configurations, and the resulting model weights.

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library_name: transformers tags: []

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