readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: ArOCRv4
    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. -->
  
  # ArOCRv4
  
  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.5811
  - Cer: 0.1249
  
  ## 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: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Cer     |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|
  | 3.103         | 1.18  | 1000 | 8.0852          | 11.5974 |
  | 1.2535        | 2.36  | 2000 | 2.0400          | 0.4904  |
  | 0.5682        | 3.55  | 3000 | 1.9336          | 0.2145  |
  | 0.3038        | 4.73  | 4000 | 1.5811          | 0.1249  |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.9.1
  - Datasets 2.1.0
  - Tokenizers 0.11.6
  