whisper-medium-lt / README.md
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metadata
language:
  - lt
license: apache-2.0
tags:
  - whisper-event
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
metrics:
  - wer
model-index:
  - name: Whisper Medium Lithuanian
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: mozilla-foundation/common_voice_11_0
          type: mozilla-foundation/common_voice_11_0
          args: 'config: lt, split: test'
        metrics:
          - name: Wer
            type: wer
            value: 20.446244

Whisper Medium Lithuanian CV11

This model is a fine-tuned version of openai/whisper-large on the mozilla-foundation/common_voice_11_0 lt dataset. It achieves the following results on the evaluation set:

  • Loss: 0.354951
  • Wer: 20.446244

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

Training results

Training Loss Epoch Step Validation Loss Wer
0.0056 9.42 1000 0.3252 20.5534
0.0023 18.8 2000 0.3549 20.4462

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu117
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2