readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-base-commonvoice-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-commonvoice-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: nan
  - Wer: 1.0
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:---:|
  | 4.7784        | 2.58  | 500  | 2.9962          | 1.0 |
  | 3.0067        | 5.15  | 1000 | 3.0303          | 1.0 |
  | 3.0098        | 7.73  | 1500 | 3.0305          | 1.0 |
  | 3.0015        | 10.31 | 2000 | 3.0308          | 1.0 |
  | 3.0062        | 12.89 | 2500 | 3.0310          | 1.0 |
  | 3.0074        | 15.46 | 3000 | 3.0311          | 1.0 |
  | 3.0085        | 18.04 | 3500 | 3.0313          | 1.0 |
  | 3.0046        | 20.62 | 4000 | 3.0314          | 1.0 |
  | 3.0065        | 23.2  | 4500 | nan             | 1.0 |
  | 0.0           | 25.77 | 5000 | nan             | 1.0 |
  | 0.0           | 28.35 | 5500 | nan             | 1.0 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.0+cu111
  - Datasets 1.18.3
  - Tokenizers 0.10.3
  