readme: ---
  language:
  - rw
  license: apache-2.0
  tags:
  - whisper-event
  - generated_from_trainer
  datasets:
  - mozilla-foundation/common_voice_11_0
  metrics:
  - wer
  model-index:
  - name: Whisper Small Kinyarwanda
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: mozilla-foundation/common_voice_11_0 rw
        type: mozilla-foundation/common_voice_11_0
        config: rw
        split: test
        args: rw
      metrics:
      - name: Wer
        type: wer
        value: 43.75236083594792
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # Whisper Small Kinyarwanda
  
  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 rw dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6424
  - Wer: 43.7524
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 1e-05
  - train_batch_size: 20
  - eval_batch_size: 20
  - seed: 42
  - distributed_type: multi-GPU
  - num_devices: 2
  - total_train_batch_size: 40
  - total_eval_batch_size: 40
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - training_steps: 5000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer     |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|
  | 0.7471        | 0.04  | 1000 | 0.9044          | 59.2903 |
  | 0.5987        | 0.08  | 2000 | 0.7523          | 52.0232 |
  | 0.5168        | 0.12  | 3000 | 0.6890          | 47.7610 |
  | 0.5082        | 0.16  | 4000 | 0.6596          | 45.4013 |
  | 0.4748        | 0.2   | 5000 | 0.6424          | 43.7524 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.1+cu116
  - Datasets 2.7.1.dev0
  - Tokenizers 0.13.2
  