readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: librispeech-5h-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. -->
  
  # librispeech-5h-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: 0.2041
  - Wer: 0.0624
  
  ## 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: 1000
  - num_epochs: 100
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 3.7758        | 11.11 | 1000 | 0.3120          | 0.2337 |
  | 0.1238        | 22.22 | 2000 | 0.1651          | 0.0826 |
  | 0.0383        | 33.33 | 3000 | 0.1667          | 0.0712 |
  | 0.023         | 44.44 | 4000 | 0.1893          | 0.0685 |
  | 0.0166        | 55.56 | 5000 | 0.2008          | 0.0666 |
  | 0.0131        | 66.67 | 6000 | 0.1942          | 0.0639 |
  | 0.0106        | 77.78 | 7000 | 0.1979          | 0.0628 |
  | 0.0091        | 88.89 | 8000 | 0.2027          | 0.0628 |
  | 0.008         | 100.0 | 9000 | 0.2041          | 0.0624 |
  
  
  ### Framework versions
  
  - Transformers 4.14.1
  - Pytorch 1.10.2
  - Datasets 1.18.2
  - Tokenizers 0.10.3
  