readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: NEW_OCR_bert-base-en-th-cased
    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_bert-base-en-th-cased
  
  This model is a fine-tuned version of [Geotrend/bert-base-en-th-cased](https://huggingface.co/Geotrend/bert-base-en-th-cased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0103
  
  ## 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: 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 |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 0.0519        | 1.0   | 5351  | 0.0141          |
  | 0.0131        | 2.0   | 10702 | 0.0116          |
  | 0.0105        | 3.0   | 16053 | 0.0105          |
  | 0.0087        | 4.0   | 21404 | 0.0102          |
  | 0.0074        | 5.0   | 26755 | 0.0103          |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.12.1+cu113
  - Datasets 1.17.0
  - Tokenizers 0.10.3
  