readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-base-demo-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-demo-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: 0.3944
  - Wer: 0.3142
  
  ## 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 3.4086        | 3.45  | 500  | 1.1494          | 0.8509 |
  | 0.5968        | 6.9   | 1000 | 0.4306          | 0.4169 |
  | 0.2363        | 10.34 | 1500 | 0.3820          | 0.3669 |
  | 0.1365        | 13.79 | 2000 | 0.3863          | 0.3487 |
  | 0.0916        | 17.24 | 2500 | 0.3851          | 0.3391 |
  | 0.0704        | 20.69 | 3000 | 0.3759          | 0.3271 |
  | 0.0537        | 24.14 | 3500 | 0.3747          | 0.3222 |
  | 0.0413        | 27.59 | 4000 | 0.3944          | 0.3142 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.11.0+cu113
  - Datasets 1.14.0
  - Tokenizers 0.10.3
  