readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: NEW_OCR_10_8wangchanberta-base-att-spm-uncased
    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. -->
  
  # NEW_OCR_10_8wangchanberta-base-att-spm-uncased
  
  This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0147
  
  ## 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: 2e-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
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss |
  |:-------------:|:-----:|:------:|:---------------:|
  | 0.108         | 1.0   | 10701  | 0.0167          |
  | 0.0161        | 2.0   | 21402  | 0.0140          |
  | 0.0126        | 3.0   | 32103  | 0.0130          |
  | 0.0105        | 4.0   | 42804  | 0.0125          |
  | 0.009         | 5.0   | 53505  | 0.0135          |
  | 0.008         | 6.0   | 64206  | 0.0137          |
  | 0.0074        | 7.0   | 74907  | 0.0139          |
  | 0.0064        | 8.0   | 85608  | 0.0143          |
  | 0.0058        | 9.0   | 96309  | 0.0147          |
  | 0.0054        | 10.0  | 107010 | 0.0147          |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.12.1+cu113
  - Datasets 1.17.0
  - Tokenizers 0.10.3
  