readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: wav2vec2-xlsr-breton-accent_clf
    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. -->
  
  # wav2vec2-xlsr-breton-accent_clf
  
  This model was trained from scratch on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0021
  - Accuracy: 1.0
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 8
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 1
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 1.0925        | 0.07  | 10   | 0.9869          | 0.5467   |
  | 0.9016        | 0.13  | 20   | 0.5994          | 0.7200   |
  | 0.5128        | 0.2   | 30   | 0.2064          | 1.0      |
  | 0.2018        | 0.27  | 40   | 0.0560          | 1.0      |
  | 0.1868        | 0.33  | 50   | 0.0220          | 1.0      |
  | 0.032         | 0.4   | 60   | 0.0070          | 1.0      |
  | 0.0551        | 0.47  | 70   | 0.0046          | 1.0      |
  | 0.1755        | 0.53  | 80   | 0.0036          | 1.0      |
  | 0.0053        | 0.6   | 90   | 0.0025          | 1.0      |
  | 0.1213        | 0.67  | 100  | 0.0023          | 1.0      |
  | 0.0847        | 0.73  | 110  | 0.0026          | 1.0      |
  | 0.1274        | 0.8   | 120  | 0.0022          | 1.0      |
  | 0.0421        | 0.87  | 130  | 0.0022          | 1.0      |
  | 0.0685        | 0.93  | 140  | 0.0022          | 1.0      |
  | 0.0294        | 1.0   | 150  | 0.0021          | 1.0      |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.0+cu113
  - Datasets 1.18.3
  - Tokenizers 0.10.3
  