readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: output
    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. -->
  
  # output
  
  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: 0.5409
  - Wer: 0.3309
  
  ## 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: 2
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 16
  - total_train_batch_size: 32
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 50
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 3.6517        | 5.19  | 400  | 0.5375          | 0.5279 |
  | 0.3497        | 10.39 | 800  | 0.4334          | 0.4025 |
  | 0.1654        | 15.58 | 1200 | 0.4497          | 0.3887 |
  | 0.0972        | 20.78 | 1600 | 0.4692          | 0.3840 |
  | 0.066         | 25.97 | 2000 | 0.4889          | 0.3723 |
  | 0.0486        | 31.17 | 2400 | 0.5552          | 0.3590 |
  | 0.032         | 36.36 | 2800 | 0.5644          | 0.3548 |
  | 0.0244        | 41.56 | 3200 | 0.5261          | 0.3356 |
  | 0.0185        | 46.75 | 3600 | 0.5409          | 0.3309 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  