readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: NEW_DAT_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_DAT_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: 0.2286
  
  ## 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 |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 0.7307        | 1.0   | 3953  | 1.1431          |
  | 0.6442        | 2.0   | 7906  | 0.5108          |
  | 0.402         | 3.0   | 11859 | 0.4406          |
  | 0.2948        | 4.0   | 15812 | 0.3048          |
  | 0.2758        | 5.0   | 19765 | 0.3484          |
  | 0.2247        | 6.0   | 23718 | 0.2783          |
  | 0.1418        | 7.0   | 27671 | 0.2137          |
  | 0.1301        | 8.0   | 31624 | 0.2409          |
  | 0.1257        | 9.0   | 35577 | 0.2431          |
  | 0.1379        | 10.0  | 39530 | 0.2286          |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.13.0+cu116
  - Datasets 1.17.0
  - Tokenizers 0.10.3
  