readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-child-en-tokenizer-4
    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-child-en-tokenizer-4
  
  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.4709
  - Wer: 0.3769
  
  ## 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: 0.0003
  - train_batch_size: 24
  - eval_batch_size: 24
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 48
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 30
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.0334        | 1.72  | 100  | 1.4709          | 0.3769 |
  | 0.0332        | 3.45  | 200  | 1.4709          | 0.3769 |
  | 0.0343        | 5.17  | 300  | 1.4709          | 0.3769 |
  | 0.032         | 6.9   | 400  | 1.4709          | 0.3769 |
  | 0.0332        | 8.62  | 500  | 1.4709          | 0.3769 |
  | 0.0327        | 10.34 | 600  | 1.4709          | 0.3769 |
  | 0.0331        | 12.07 | 700  | 1.4709          | 0.3769 |
  | 0.0334        | 13.79 | 800  | 1.4709          | 0.3769 |
  | 0.0319        | 15.52 | 900  | 1.4709          | 0.3769 |
  | 0.0338        | 17.24 | 1000 | 1.4709          | 0.3769 |
  | 0.0321        | 18.97 | 1100 | 1.4709          | 0.3769 |
  | 0.0367        | 20.69 | 1200 | 1.4709          | 0.3769 |
  | 0.0331        | 22.41 | 1300 | 1.4709          | 0.3769 |
  | 0.0332        | 24.14 | 1400 | 1.4709          | 0.3769 |
  | 0.0347        | 25.86 | 1500 | 1.4709          | 0.3769 |
  | 0.0319        | 27.59 | 1600 | 1.4709          | 0.3769 |
  | 0.0302        | 29.31 | 1700 | 1.4709          | 0.3769 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.0+cu113
  - Datasets 1.18.3
  - Tokenizers 0.10.3
  