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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
|