readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: Testing
    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. -->
  
  # Testing
  
  This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4526
  - Accuracy: 0.9038
  
  ## 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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
  | 0.7258        | 1.0   | 1373  | 0.5835          | 0.8779   |
  | 0.5861        | 2.0   | 2746  | 0.5315          | 0.8882   |
  | 0.5478        | 3.0   | 4119  | 0.5053          | 0.8941   |
  | 0.5338        | 4.0   | 5492  | 0.4929          | 0.8974   |
  | 0.5045        | 5.0   | 6865  | 0.4836          | 0.8995   |
  | 0.4958        | 6.0   | 8238  | 0.4662          | 0.9018   |
  | 0.4821        | 7.0   | 9611  | 0.4561          | 0.9035   |
  | 0.469         | 8.0   | 10984 | 0.4625          | 0.9034   |
  | 0.4718        | 9.0   | 12357 | 0.4522          | 0.9048   |
  | 0.4642        | 10.0  | 13730 | 0.4526          | 0.9038   |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  