---
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