readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-base-timit-demo-colab-1
    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-colab-1
  
  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: 0.9634
  - Wer: 0.4398
  
  ## 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: 0.0002
  - train_batch_size: 6
  - 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: 800
  - num_epochs: 50
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 4.8991        | 5.26  | 500  | 1.4319          | 0.7522 |
  | 0.8555        | 10.53 | 1000 | 0.7895          | 0.5818 |
  | 0.4584        | 15.79 | 1500 | 0.7198          | 0.5211 |
  | 0.3096        | 21.05 | 2000 | 0.7983          | 0.5118 |
  | 0.2165        | 26.32 | 2500 | 0.7893          | 0.4745 |
  | 0.163         | 31.58 | 3000 | 0.8779          | 0.4589 |
  | 0.1144        | 36.84 | 3500 | 0.9256          | 0.4540 |
  | 0.0886        | 42.11 | 4000 | 0.9184          | 0.4530 |
  | 0.0668        | 47.37 | 4500 | 0.9634          | 0.4398 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.11.0+cu113
  - Datasets 1.18.3
  - Tokenizers 0.10.3
  