readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - common_voice
  model-index:
  - name: facebook_large_CV_bn2
    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_bn2
  
  This model is a fine-tuned version of [Sameen53/facebook_large_CV_bn3](https://huggingface.co/Sameen53/facebook_large_CV_bn3) on the common_voice dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3172
  - Wer: 0.2524
  
  ## 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: 16
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | No log        | 0.92  | 500  | 0.4366          | 0.2610 |
  | 0.0648        | 1.85  | 1000 | 0.3689          | 0.2563 |
  | 0.097         | 2.77  | 1500 | 0.3613          | 0.2677 |
  | 0.0998        | 3.7   | 2000 | 0.3669          | 0.2573 |
  | 0.1003        | 4.62  | 2500 | 0.3472          | 0.2520 |
  | 0.1017        | 5.54  | 3000 | 0.3635          | 0.2559 |
  | 0.1052        | 6.47  | 3500 | 0.3546          | 0.2559 |
  | 0.1128        | 7.39  | 4000 | 0.3439          | 0.2554 |
  | 0.1136        | 8.32  | 4500 | 0.3483          | 0.2515 |
  | 0.1178        | 9.24  | 5000 | 0.3469          | 0.2526 |
  | 0.1217        | 10.17 | 5500 | 0.3408          | 0.2523 |
  | 0.1269        | 11.09 | 6000 | 0.3420          | 0.2556 |
  | 0.1273        | 12.01 | 6500 | 0.3331          | 0.2533 |
  | 0.1273        | 12.94 | 7000 | 0.3344          | 0.2531 |
  | 0.136         | 13.86 | 7500 | 0.3302          | 0.2551 |
  | 0.1397        | 14.79 | 8000 | 0.3252          | 0.2522 |
  | 0.1447        | 15.71 | 8500 | 0.3172          | 0.2524 |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  