readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: finetune_dysarthria_F02
    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. -->
  
  # finetune_dysarthria_F02
  
  This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 154.3471
  - Wer: 1.0
  - Accuracy: 0.0
  
  ## 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: 0.001
  - train_batch_size: 10
  - 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: 772
  - num_epochs: 15
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:---:|:--------:|
  | 625.3283      | 3.75  | 1931 | 155.3374        | 1.0 | 0.0      |
  | 358.2989      | 7.5   | 3862 | 146.5504        | 1.0 | 0.0      |
  | 277.2634      | 11.25 | 5793 | 149.5156        | 1.0 | 0.0      |
  | 141.6718      | 15.0  | 7724 | 154.3471        | 1.0 | 0.0      |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.2+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  