readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-xl-960h-dementiabank
    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-xl-960h-dementiabank
  
  This model is a fine-tuned version of [facebook/wav2vec2-large-960h](https://huggingface.co/facebook/wav2vec2-large-960h) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3483.2146
  - Wer: 0.9860
  
  ## 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: 0.005
  - train_batch_size: 2
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 1000
  - num_epochs: 3
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 13934.5266    | 0.31  | 10   | 71265.4531      | 1.0    |
  | 13443.6406    | 0.62  | 20   | 69977.6016      | 1.0    |
  | 9336.9562     | 0.94  | 30   | 13763.1484      | 0.9843 |
  | 2970.977      | 1.25  | 40   | 17587.7656      | 0.9860 |
  | 1916.3354     | 1.56  | 50   | 4328.4521       | 1.0    |
  | 1417.5775     | 1.88  | 60   | 4486.8071       | 0.9860 |
  | 1841.7689     | 2.19  | 70   | 2988.0303       | 1.0    |
  | 1355.0265     | 2.5   | 80   | 2972.6094       | 0.9860 |
  | 1359.7979     | 2.81  | 90   | 3483.2146       | 0.9860 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.0+cu111
  - Datasets 1.13.3
  - Tokenizers 0.10.3
  