---
license: other
base_model: deepseek-ai/deepseek-coder-1.3b-base
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
model-index:
- name: deepseek-ai-deepseek-coder-1.3b-base-finetuned-defect-cwe-group-detection
  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. -->

# deepseek-ai-deepseek-coder-1.3b-base-finetuned-defect-cwe-group-detection

This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6902
- Accuracy: 0.7715
- Precision: 0.8036
- Recall: 0.5867

## 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: 4711
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|
| No log        | 1.0   | 462  | 0.4904          | 0.7800   | 0.6028    | 0.5178 |
| 0.5739        | 2.0   | 925  | 0.4917          | 0.7985   | 0.8159    | 0.5552 |
| 0.3111        | 3.0   | 1387 | 0.6582          | 0.7918   | 0.7907    | 0.5901 |
| 0.2395        | 4.0   | 1850 | 0.6238          | 0.7800   | 0.8018    | 0.6132 |
| 0.2047        | 4.99  | 2310 | 0.6902          | 0.7715   | 0.8036    | 0.5867 |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.2.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2