readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - wer
  model-index:
  - name: wav2vec2-base-timit-demo-google-colab
    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-base-timit-demo-google-colab
  
  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4414
  - Wer: 0.3578
  
  ## 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: 8
  - 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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.095         | 1.0   | 500  | 0.4785          | 0.3873 |
  | 0.09          | 2.01  | 1000 | 0.5840          | 0.4203 |
  | 0.1059        | 3.01  | 1500 | 0.5674          | 0.4073 |
  | 0.0857        | 4.02  | 2000 | 0.5026          | 0.3797 |
  | 0.0719        | 5.02  | 2500 | 0.4981          | 0.3783 |
  | 0.0565        | 6.02  | 3000 | 0.4595          | 0.3721 |
  | 0.0463        | 7.03  | 3500 | 0.4578          | 0.3629 |
  | 0.0363        | 8.03  | 4000 | 0.4832          | 0.3669 |
  | 0.0444        | 9.04  | 4500 | 0.4414          | 0.3578 |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  