malicious_url_multiclass_classification

WFullen/malicious_url_multiclass_classification

malicious_url_multiclass_classification is a machine learning model from WFullen. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Feb 17, 2024
Updated: Feb 17, 2024
SHA: 25757fde

Base models

Model card

From the Hugging Face model README

malicious_url_multiclass_classification

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0900
Accuracy: 0.9696

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: 0.001
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1695	1.0	7122	0.1303	0.9556
0.1466	2.0	14245	0.1092	0.9625
0.136	3.0	21367	0.1112	0.9616
0.1294	4.0	28490	0.0971	0.9669
0.1124	5.0	35610	0.0900	0.9696

Framework versions

PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.1

Library: peft
License: apache-2.0
Created: Feb 17, 2024
Updated: Feb 17, 2024