readme: ---
  language:
  - sv
  license: apache-2.0
  tags:
  - hf-asr-leaderboard
  - generated_from_trainer
  metrics:
  - wer
  model-index:
  - name: Whisper Small - Swedish
    results: []
  ---
  
  <!-- 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 - Swedish
  
  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 & NST dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3551
  - Wer: 19.2143
  
  ## 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: 4
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 16
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - training_steps: 8000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer     |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|
  | 0.2128        | 0.85  | 1000 | 0.2955          | 22.1613 |
  | 0.0871        | 1.71  | 2000 | 0.2790          | 20.8034 |
  | 0.0373        | 2.56  | 3000 | 0.2884          | 19.9269 |
  | 0.0163        | 3.41  | 4000 | 0.3082          | 19.5477 |
  | 0.0046        | 4.27  | 5000 | 0.3183          | 19.5881 |
  | 0.0023        | 5.12  | 6000 | 0.3397          | 19.3757 |
  | 0.0023        | 5.97  | 7000 | 0.3468          | 19.3219 |
  | 0.0013        | 6.83  | 8000 | 0.3551          | 19.2143 |
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - Pytorch 1.12.1
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  