metadata

license: apache-2.0
tags:
  - generated_from_trainer
  - hf-asr-leaderboard
  - whisper-event
metrics:
  - wer
model-index:
  - name: openai/whisper-medium
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: mozilla-foundation/common_voice_17_0 kab
          type: mozilla-foundation/common_voice_17_0
          args: 'config: ml, split: test'
        metrics:
          - name: Wer
            type: wer
            value: 16.15101446793939
language:
  - kab
datasets:
  - mozilla-foundation/common_voice_17_0

openai/whisper-base

This is an automatic speech recognition model that also does punctuation and casing. This model is for research only, we do not recommend using this model on production environments.

This model is a fine-tuned version of openai/whisper-base on the mozilla-foundation/common_voice_17_0 kab dataset. It achieves the following results on the evaluation set:

Loss:
Wer:

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

Framework versions

Transformers 4.25.1
Pytorch 1.10.0+cu102
Datasets 2.8.0
Tokenizers 0.13.2