readme: ---
  language:
    - nl
  license: apache-2.0
  tags:
    - whisper-event
    - hf-asr-leaderboard
  datasets:
    - mozilla-foundation/common_voice_11_0
  metrics:
    - wer
  model-index:
    - name: Whisper Medium nl - GeoffVdr
      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
            config: nl
            split: test
            args: nl
          metrics:
            - name: Wer
              type: wer
              value: 7.514
  co2_eq_emissions:
    emissions: 2930
    source: https://mlco2.github.io/impact/
    training_type: fine-tuning
    geographical_location: Ghent, Belgium
    hardware_used: 1 v100 GPU
  ---
  
  # Whisper Medium nl - GeoffVdr
  
  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 11.0 dataset.
  
  ## Model description
  More information needed
  ## Intended uses & limitations
  More information needed
  ## Training and evaluation data
  - Training: Mozilla CommonVoice 11 Dutch train+validation set
  - Evaluation: Mozilla CommonVoice 11 Dutch test set
  ## Training procedure
  
  ## Training Hyperparameters
  - learning_rate: 1e-5
  - train_batch_size: 8
  - eval_batch_size: 8
  - gradient_accumulation_steps: 2
  - lr_scheduler_warmup_steps: 500
  - training_steps: 12000
  
  ## Training Results
  
  | Training Loss | Epoch | Step | WER  |
  |:-------------:|:-----:|:----:|:----:|
  | 0.1111        | 0.39  | 1000 | 9.89 |
  | 0.0884        | 0.78  | 2000 | 9.26 |
  | 0.0362        | 1.17  | 3000 | 8.64 |
  | 0.0359        | 1.56  | 4000 | 8.60 |
  | 0.0375        | 1.95  | 5000 | 8.24 |
  :
  :
  | 0.0015        | 4.68  | 12000| 7.51 |
  
  
  ### Framework versions