readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-base-timit-demo-colab12
    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-colab12
  
  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: 0.4831
  - Wer: 0.3546
  
  ## 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: 420
  - num_epochs: 30
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 4.1683        | 3.52  | 500  | 1.3684          | 0.7364 |
  | 0.7614        | 7.04  | 1000 | 0.6008          | 0.5218 |
  | 0.4721        | 10.56 | 1500 | 0.5319          | 0.4614 |
  | 0.3376        | 14.08 | 2000 | 0.5234          | 0.4308 |
  | 0.2508        | 17.61 | 2500 | 0.5109          | 0.3998 |
  | 0.1978        | 21.13 | 3000 | 0.5037          | 0.3721 |
  | 0.1645        | 24.65 | 3500 | 0.4918          | 0.3622 |
  | 0.1449        | 28.17 | 4000 | 0.4831          | 0.3546 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.11.0+cu113
  - Datasets 1.18.3
  - Tokenizers 0.10.3
  