Finetuned Adversarial Paraphrase Model Open-Source Model - Detect Whether Text Has Undergone Adversarial Paraphrasing

Finetuned Adversarial Paraphrase Model

Developed by chitra

This model is a fine-tuned version of an adversarial paraphrasing detector, designed to detect whether text has undergone adversarial paraphrasing.

Downloads 15

Release Time : 3/2/2022

Model Overview

The model is primarily used to detect adversarial paraphrasing in text, suitable for text security tasks in natural language processing.

Adversarial Paraphrasing Detection

Capable of detecting whether text has undergone adversarial paraphrasing, enhancing text security.

Fine-tuning Optimization

Fine-tuned based on pre-trained models, improving performance on specific tasks.

Text Detection

Adversarial Paraphrasing Recognition

Text Security

Adversarial Text Detection

Detects whether text has undergone adversarial paraphrasing to prevent malicious text attacks.

Training Loss	Epoch	Step	Validation Loss
0.0848	1.0	2000	5.4633
0.0495	2.0	4000	6.0352
0.0121	3.0	6000	7.5680

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