readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: XLS-R_53_english
    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_53_english
  
  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: 0.3430
  - Wer: 0.3033
  
  ## 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 4.6589        | 1.65  | 500  | 3.1548          | 1.0    |
  | 2.5363        | 3.3   | 1000 | 1.0250          | 0.8707 |
  | 0.849         | 4.95  | 1500 | 0.3964          | 0.4636 |
  | 0.4812        | 6.6   | 2000 | 0.3341          | 0.3907 |
  | 0.3471        | 8.25  | 2500 | 0.3351          | 0.3659 |
  | 0.2797        | 9.9   | 3000 | 0.3104          | 0.3475 |
  | 0.2336        | 11.55 | 3500 | 0.3545          | 0.3419 |
  | 0.2116        | 13.2  | 4000 | 0.3577          | 0.3353 |
  | 0.1688        | 14.85 | 4500 | 0.3383          | 0.3302 |
  | 0.1587        | 16.5  | 5000 | 0.3431          | 0.3235 |
  | 0.1358        | 18.15 | 5500 | 0.3504          | 0.3209 |
  | 0.1323        | 19.8  | 6000 | 0.3468          | 0.3191 |
  | 0.115         | 21.45 | 6500 | 0.3331          | 0.3127 |
  | 0.108         | 23.1  | 7000 | 0.3497          | 0.3099 |
  | 0.0938        | 24.75 | 7500 | 0.3532          | 0.3091 |
  | 0.0974        | 26.4  | 8000 | 0.3461          | 0.3086 |
  | 0.0867        | 28.05 | 8500 | 0.3422          | 0.3054 |
  | 0.0852        | 29.7  | 9000 | 0.3430          | 0.3033 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.12.1+cu113
  - Datasets 1.18.3
  - Tokenizers 0.12.1
  