README.md

metadata

language:
  - multilingual
license: apache-2.0
base_model: openai/whisper-medium
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
metrics:
  - wer
model-index:
  - name: model trenovan na en_de_en simi setu, nastaveni jazyka en overeni3
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: odpovidajici nazvu modelu
          type: mozilla-foundation/common_voice_11_0
          args: 'config: ende, split: train'
        metrics:
          - name: Wer
            type: wer
            value: 31.315296008572197

model trenovan na en_de_en simi setu, nastaveni jazyka en overeni3

This model is a fine-tuned version of openai/whisper-medium on the odpovidajici nazvu modelu dataset. It achieves the following results on the evaluation set:

• Loss: 0.2841
• Wer: 31.3153

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Framework versions

• Transformers 4.37.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.15.2