readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - common_voice
  model-index:
  - name: CV_bn_trained_on_Validation
    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. -->
  
  # CV_bn_trained_on_Validation
  
  This model is a fine-tuned version of [./content/CV_bn_trained_on_Validation/checkpoint-6000](https://huggingface.co/./content/CV_bn_trained_on_Validation/checkpoint-6000) on the common_voice dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2181
  - Wer: 0.3385
  
  ## 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: 7.5e-05
  - train_batch_size: 8
  - 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: 2000
  - num_epochs: 4
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 1.1104        | 1.25  | 2000 | 0.2535          | 0.3705 |
  | 1.1069        | 2.49  | 4000 | 0.2369          | 0.3545 |
  | 1.0344        | 3.74  | 6000 | 0.2181          | 0.3385 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  