readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - common_voice
  model-index:
  - name: facebook_large_CV_bn3
    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. -->
  
  # facebook_large_CV_bn3
  
  This model is a fine-tuned version of [Sameen53/facebook_large_CV_bn](https://huggingface.co/Sameen53/facebook_large_CV_bn) on the common_voice dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2308
  - Wer: 0.2379
  
  ## 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: 5e-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: 200
  - num_epochs: 6
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | No log        | 0.87  | 1000 | 0.2473          | 0.2524 |
  | 0.2308        | 1.73  | 2000 | 0.2073          | 0.2450 |
  | 0.261         | 2.6   | 3000 | 0.2036          | 0.2345 |
  | 0.2498        | 3.47  | 4000 | 0.1916          | 0.2311 |
  | 0.2433        | 4.33  | 5000 | 0.1869          | 0.2344 |
  | 0.2588        | 5.2   | 6000 | 0.2308          | 0.2379 |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  