readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - common_voice_10_0
  model-index:
  - name: wav2vec2-large-xls-r-300m-pl-colab
    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-large-xls-r-300m-pl-colab
  
  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_10_0 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1589
  - Wer: 0.1338
  
  ## 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: 6e-05
  - train_batch_size: 16
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 2
  - 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: 765
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 4.9573        | 1.31  | 1000 | 3.2143          | 1.0    |
  | 1.0216        | 2.61  | 2000 | 0.2310          | 0.2064 |
  | 0.2925        | 3.92  | 3000 | 0.1888          | 0.1689 |
  | 0.2252        | 5.23  | 4000 | 0.1731          | 0.1507 |
  | 0.1983        | 6.54  | 5000 | 0.1722          | 0.1446 |
  | 0.1757        | 7.84  | 6000 | 0.1637          | 0.1367 |
  | 0.1656        | 9.15  | 7000 | 0.1589          | 0.1338 |
  
  
  ### Framework versions
  
  - Transformers 4.21.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  