readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wsj0-full-supervised
    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. -->
  
  # wsj0-full-supervised
  
  This model is a fine-tuned version of [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0623
  - Wer: 0.0343
  
  ## 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: 12
  - 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    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 5.517         | 0.86  | 500   | 2.9475          | 1.0    |
  | 2.2387        | 1.72  | 1000  | 0.4004          | 0.3498 |
  | 0.3081        | 2.57  | 1500  | 0.1362          | 0.1159 |
  | 0.1744        | 3.43  | 2000  | 0.1125          | 0.0929 |
  | 0.1285        | 4.29  | 2500  | 0.0894          | 0.0727 |
  | 0.1015        | 5.15  | 3000  | 0.0852          | 0.0642 |
  | 0.0811        | 6.0   | 3500  | 0.0789          | 0.0614 |
  | 0.0748        | 6.86  | 4000  | 0.0746          | 0.0529 |
  | 0.0639        | 7.72  | 4500  | 0.0714          | 0.0481 |
  | 0.0606        | 8.58  | 5000  | 0.0698          | 0.0489 |
  | 0.0525        | 9.43  | 5500  | 0.0747          | 0.0464 |
  | 0.0489        | 10.29 | 6000  | 0.0594          | 0.0396 |
  | 0.0419        | 11.15 | 6500  | 0.0600          | 0.0359 |
  | 0.0414        | 12.01 | 7000  | 0.0612          | 0.0412 |
  | 0.0383        | 12.86 | 7500  | 0.0676          | 0.0392 |
  | 0.0352        | 13.72 | 8000  | 0.0626          | 0.0388 |
  | 0.034         | 14.58 | 8500  | 0.0699          | 0.0372 |
  | 0.0309        | 15.44 | 9000  | 0.0807          | 0.0420 |
  | 0.0295        | 16.3  | 9500  | 0.0796          | 0.0396 |
  | 0.0273        | 17.15 | 10000 | 0.0716          | 0.0376 |
  | 0.0271        | 18.01 | 10500 | 0.0657          | 0.0384 |
  | 0.0251        | 18.87 | 11000 | 0.0585          | 0.0351 |
  | 0.024         | 19.73 | 11500 | 0.0557          | 0.0347 |
  | 0.0252        | 20.58 | 12000 | 0.0609          | 0.0327 |
  | 0.0231        | 21.44 | 12500 | 0.0720          | 0.0368 |
  | 0.0202        | 22.3  | 13000 | 0.0625          | 0.0343 |
  | 0.0195        | 23.16 | 13500 | 0.0635          | 0.0372 |
  | 0.0201        | 24.01 | 14000 | 0.0582          | 0.0335 |
  | 0.0183        | 24.87 | 14500 | 0.0562          | 0.0343 |
  | 0.0183        | 25.73 | 15000 | 0.0629          | 0.0335 |
  | 0.0175        | 26.59 | 15500 | 0.0593          | 0.0323 |
  | 0.017         | 27.44 | 16000 | 0.0631          | 0.0339 |
  | 0.0162        | 28.3  | 16500 | 0.0597          | 0.0335 |
  | 0.0169        | 29.16 | 17000 | 0.0623          | 0.0343 |
  
  
  ### Framework versions
  
  - Transformers 4.14.1
  - Pytorch 1.10.2
  - Datasets 1.18.2
  - Tokenizers 0.10.3
  