---
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/codebert-base-mlm
model-index:
- name: malicious-package-classifier-bert-weighted-balanced
  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. -->

# malicious-package-classifier-bert-weighted-balanced

This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0285

## 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: 5e-05
- train_batch_size: 140
- eval_batch_size: 140
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 0.0203        | 1.0   | 24728  | 0.0412          |
| 0.0302        | 2.0   | 49456  | 0.0285          |
| 0.0197        | 3.0   | 74184  | 0.0290          |
| 0.012         | 4.0   | 98912  | 0.0345          |
| 0.0147        | 5.0   | 123640 | 0.0408          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2