readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - common_voice_8_0
  model-index:
  - name: dat259-nor-wav2vec2
    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. -->
  
  # dat259-nor-wav2vec2
  
  This model is a fine-tuned version of [NbAiLab/nb-wav2vec2-300m-nynorsk](https://huggingface.co/NbAiLab/nb-wav2vec2-300m-nynorsk) on the common_voice_8_0 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 10.9446
  - Wer: 1.1259
  
  ## 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: 0.0001
  - 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: 5
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 84.8696       | 1.57  | 5    | 91.5942         | 1.0    |
  | 62.5471       | 3.29  | 10   | 33.8515         | 1.0068 |
  | 20.2215       | 4.86  | 15   | 17.4461         | 1.0017 |
  | 15.2892       | 6.57  | 20   | 13.5454         | 1.0034 |
  | 12.8086       | 8.29  | 25   | 12.0084         | 1.0408 |
  | 11.0168       | 9.86  | 30   | 10.9446         | 1.1259 |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.10.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  