readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - common_voice
  model-index:
  - name: Dansk-wav2vec2-stt
    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. -->
  
  # Dansk-wav2vec2-stt
  
  This model is a fine-tuned version of [Siyam/Dansk-wav2vec21](https://huggingface.co/Siyam/Dansk-wav2vec21) on the common_voice dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.7500
  - Wer: 0.3929
  
  ## 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: 0.0003
  - train_batch_size: 16
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 32
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 30
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.0298        | 4.26  | 400  | 0.8420          | 0.4579 |
  | 0.0479        | 8.51  | 800  | 0.8713          | 0.4461 |
  | 0.0387        | 12.77 | 1200 | 0.8307          | 0.4404 |
  | 0.0336        | 17.02 | 1600 | 0.8322          | 0.4144 |
  | 0.0322        | 21.28 | 2000 | 0.7493          | 0.4081 |
  | 0.0288        | 25.53 | 2400 | 0.7361          | 0.3951 |
  | 0.0264        | 29.79 | 2800 | 0.7500          | 0.3929 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.10.3
  