readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-base-timit-demo-colab9
    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-colab9
  
  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: 3.1922
  - 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: 8
  - 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 |
  |:-------------:|:-----:|:-----:|:---------------:|:---:|
  | 5.0683        | 1.42  | 500   | 3.2471          | 1.0 |
  | 3.1349        | 2.85  | 1000  | 3.2219          | 1.0 |
  | 3.1317        | 4.27  | 1500  | 3.2090          | 1.0 |
  | 3.1262        | 5.7   | 2000  | 3.2152          | 1.0 |
  | 3.1307        | 7.12  | 2500  | 3.2147          | 1.0 |
  | 3.1264        | 8.55  | 3000  | 3.2072          | 1.0 |
  | 3.1279        | 9.97  | 3500  | 3.2158          | 1.0 |
  | 3.1287        | 11.4  | 4000  | 3.2190          | 1.0 |
  | 3.1256        | 12.82 | 4500  | 3.2069          | 1.0 |
  | 3.1254        | 14.25 | 5000  | 3.2134          | 1.0 |
  | 3.1259        | 15.67 | 5500  | 3.2231          | 1.0 |
  | 3.1269        | 17.09 | 6000  | 3.2005          | 1.0 |
  | 3.1279        | 18.52 | 6500  | 3.1988          | 1.0 |
  | 3.1246        | 19.94 | 7000  | 3.1929          | 1.0 |
  | 3.128         | 21.37 | 7500  | 3.1864          | 1.0 |
  | 3.1245        | 22.79 | 8000  | 3.1868          | 1.0 |
  | 3.1266        | 24.22 | 8500  | 3.1852          | 1.0 |
  | 3.1239        | 25.64 | 9000  | 3.1855          | 1.0 |
  | 3.125         | 27.07 | 9500  | 3.1917          | 1.0 |
  | 3.1233        | 28.49 | 10000 | 3.1929          | 1.0 |
  | 3.1229        | 29.91 | 10500 | 3.1922          | 1.0 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.11.0+cu113
  - Datasets 1.18.3
  - Tokenizers 0.10.3
  