readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - wer
  model-index:
  - name: w2v2-shallow-bart-5k-1e-3
    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. -->
  
  # w2v2-shallow-bart-5k-1e-3
  
  This model was trained from scratch on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 5.2228
  - Wer: 219.0067
  
  ## 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: 0.001
  - train_batch_size: 16
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 250
  - training_steps: 5000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer      |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 5.4271        | 0.2   | 1000 | 5.5063          | 287.8938 |
  | 4.9304        | 1.04  | 2000 | 5.4201          | 198.6618 |
  | 4.6411        | 1.24  | 3000 | 5.2925          | 332.8481 |
  | 4.3797        | 2.09  | 4000 | 5.2913          | 155.6744 |
  | 4.2848        | 2.29  | 5000 | 5.2228          | 219.0067 |
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - Pytorch 1.11.0
  - Datasets 2.6.1
  - Tokenizers 0.13.2
  