readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-large-xlsr-es-col-pro-noise
    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-xlsr-es-col-pro-noise
  
  This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-spanish](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-spanish) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0683
  - Wer: 0.0601
  
  ## 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: 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: 500
  - num_epochs: 30
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.118         | 3.88  | 400  | 0.0591          | 0.0633 |
  | 0.0838        | 7.77  | 800  | 0.0935          | 0.0936 |
  | 0.0583        | 11.65 | 1200 | 0.0765          | 0.0716 |
  | 0.0392        | 15.53 | 1600 | 0.0843          | 0.0738 |
  | 0.0346        | 19.42 | 2000 | 0.0763          | 0.0603 |
  | 0.0262        | 23.3  | 2400 | 0.0718          | 0.0610 |
  | 0.0208        | 27.18 | 2800 | 0.0683          | 0.0601 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.1+cu102
  - Datasets 1.13.3
  - Tokenizers 0.10.3
  