readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-base-timit-demo-colab_2
    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_2
  
  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: 0.3801
  - Wer: 0.3035
  
  ## 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: 16
  - 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: 30
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 4.7227        | 3.52  | 500  | 2.6961          | 1.0    |
  | 1.1237        | 7.04  | 1000 | 0.6088          | 0.5315 |
  | 0.4886        | 10.56 | 1500 | 0.4709          | 0.4353 |
  | 0.3148        | 14.08 | 2000 | 0.4341          | 0.3942 |
  | 0.2229        | 17.61 | 2500 | 0.4035          | 0.3616 |
  | 0.1693        | 21.13 | 3000 | 0.3868          | 0.3289 |
  | 0.1393        | 24.65 | 3500 | 0.3993          | 0.3135 |
  | 0.118         | 28.17 | 4000 | 0.3801          | 0.3035 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.11.0+cu113
  - Datasets 1.18.3
  - Tokenizers 0.10.3
  