---
library_name: transformers
license: apache-2.0
base_model: Namronaldo2004/codebert-full-code
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: results_codebert
  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. -->

# results_codebert

This model is a fine-tuned version of [Namronaldo2004/codebert-full-code](https://huggingface.co/Namronaldo2004/codebert-full-code) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2271
- F1: 0.9601
- Accuracy: 0.9601

## 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: 4e-05
- train_batch_size: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|
| 0.1811        | 1.0   | 10878 | 0.2271          | 0.9601 | 0.9601   |


### Framework versions

- Transformers 5.2.0
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2