---
language:
- he
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- ivrit-ai/whisper-training
metrics:
- wer
model-index:
- name: Whisper Small Hebrew 4
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: ivrit-ai/whisper-training
      type: ivrit-ai/whisper-training
      args: 'config: he, split: train'
    metrics:
    - name: Wer
      


# Whisper Small Hebrew 4

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the ivrit-ai/whisper-training dataset.
This model achieves ~1.5% better results in terms of WER over the previous mike249/whisper-small-he-3.

### Framework versions

- Transformers 4.42.0.dev0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.19.1