---
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
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# 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:
- eval_loss: 0.0000
- eval_runtime: 2.4483
- eval_samples_per_second: 137.648
- eval_steps_per_second: 1.225
- epoch: 77.1
- step: 3238

## 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: 100

### Framework versions

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