readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: XLS-R_timit_en
    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. -->
  
  # XLS-R_timit_en
  
  This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3799
  - Wer: 0.3019
  
  ## 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 3.5228        | 3.3   | 1000 | 0.9889          | 0.8394 |
  | 0.6617        | 6.6   | 2000 | 0.3566          | 0.4027 |
  | 0.3177        | 9.9   | 3000 | 0.3112          | 0.3606 |
  | 0.2262        | 13.2  | 4000 | 0.3521          | 0.3324 |
  | 0.1683        | 16.5  | 5000 | 0.3563          | 0.3260 |
  | 0.137         | 19.8  | 6000 | 0.3605          | 0.3149 |
  | 0.1139        | 23.1  | 7000 | 0.3768          | 0.3069 |
  | 0.1068        | 26.4  | 8000 | 0.3643          | 0.3044 |
  | 0.0897        | 29.7  | 9000 | 0.3799          | 0.3019 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.12.1+cu113
  - Datasets 1.18.3
  - Tokenizers 0.13.0
  