README.md

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
base_model: openai/whisper-large
model-index:
  - name: Whisper Medium Lithuanian
    results:
      - task:
          type: automatic-speech-recognition
          name: Automatic Speech Recognition
        dataset:
          name: mozilla-foundation/common_voice_11_0
          type: mozilla-foundation/common_voice_11_0
          args: 'config: lt, split: test'
        metrics:
          - type: wer
            value: 20.446244
            name: Wer

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