---
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/codebert-base-mlm
model-index:
- name: malicious-package-classifier-bert-mal-only
  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-mal-only

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: 0.0000

## 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: 32

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 42   | 0.0129          |
| No log        | 2.0   | 84   | 0.0014          |
| No log        | 3.0   | 126  | 0.0007          |
| No log        | 4.0   | 168  | 0.0005          |
| No log        | 5.0   | 210  | 0.0003          |
| No log        | 6.0   | 252  | 0.0003          |
| No log        | 7.0   | 294  | 0.0002          |
| No log        | 8.0   | 336  | 0.0002          |
| No log        | 9.0   | 378  | 0.0001          |
| No log        | 10.0  | 420  | 0.0001          |
| No log        | 11.0  | 462  | 0.0001          |
| 0.0161        | 12.0  | 504  | 0.0001          |
| 0.0161        | 13.0  | 546  | 0.0001          |
| 0.0161        | 14.0  | 588  | 0.0001          |
| 0.0161        | 15.0  | 630  | 0.0001          |
| 0.0161        | 16.0  | 672  | 0.0001          |
| 0.0161        | 17.0  | 714  | 0.0001          |
| 0.0161        | 18.0  | 756  | 0.0001          |
| 0.0161        | 19.0  | 798  | 0.0000          |
| 0.0161        | 20.0  | 840  | 0.0000          |
| 0.0161        | 21.0  | 882  | 0.0000          |
| 0.0161        | 22.0  | 924  | 0.0000          |
| 0.0161        | 23.0  | 966  | 0.0000          |
| 0.0           | 24.0  | 1008 | 0.0000          |
| 0.0           | 25.0  | 1050 | 0.0000          |
| 0.0           | 26.0  | 1092 | 0.0000          |
| 0.0           | 27.0  | 1134 | 0.0000          |
| 0.0           | 28.0  | 1176 | 0.0000          |
| 0.0           | 29.0  | 1218 | 0.0000          |
| 0.0           | 30.0  | 1260 | 0.0000          |
| 0.0           | 31.0  | 1302 | 0.0000          |
| 0.0           | 32.0  | 1344 | 0.0000          |


### Framework versions

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