readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-base-timit-demo
    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
  
  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: 0.4094
  - Wer: 0.2825
  
  ## 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: 32
  - 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 3.5419        | 3.45  | 500  | 1.2376          | 0.8772 |
  | 0.5393        | 6.9   | 1000 | 0.4489          | 0.3894 |
  | 0.1916        | 10.34 | 1500 | 0.3777          | 0.3185 |
  | 0.1139        | 13.79 | 2000 | 0.4041          | 0.3058 |
  | 0.0798        | 17.24 | 2500 | 0.3742          | 0.2988 |
  | 0.0602        | 20.69 | 3000 | 0.3751          | 0.2897 |
  | 0.0463        | 24.14 | 3500 | 0.4067          | 0.2865 |
  | 0.0388        | 27.59 | 4000 | 0.4094          | 0.2825 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu102
  - Datasets 1.18.3
  - Tokenizers 0.11.6
  