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xlm-roberta-base-finetuned-HC3-mix
mrm8488/xlm-roberta-base-finetuned-HC3-mix
xlm-roberta-base-finetuned-HC3-mix is a text classification model from mrm8488. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as openrail.
XLM-RoBERTa (base) fine-tuned on Hello-SimpleAI HC3 corpus for ChatGPT text detection.
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Datasets
Model card
From the Hugging Face model README
XLM-RoBERTa (base) fine-tuned on HC3 for ChatGPT text detection
XLM-RoBERTa (base) fine-tuned on Hello-SimpleAI HC3 corpus for ChatGPT text detection.
All credit to Hello-SimpleAI for their huge work!
F1 score on test dataset: 0.9736
The model
XLM-RoBERTa model pre-trained on 2.5TB of filtered CommonCrawl data containing 100 languages. It was introduced in the paper Unsupervised Cross-lingual Representation Learning at Scale by Conneau et al. and first released in this repository.
The dataset
Human ChatGPT Comparison Corpus (HC3)
The first human-ChatGPT comparison corpus, named HC3 dataset by Hello-SimpleAI
This dataset is introduced in the paper:
Metrics
| metric | value |
|---|---|
| F1 | 0.9736 |
Usage
from transformers import pipeline
ckpt = "mrm8488/xlm-roberta-base-finetuned-HC3-mix"
detector = pipeline('text-classification', model=ckpt)
text = "Here your text..."
result = detector(text)
print(result)
Citation
@misc {manuel_romero_2023,
author = { {Manuel Romero} },
title = { xlm-roberta-base-finetuned-HC3-mix (Revision b18de48) },
year = 2023,
url = { https://huggingface.co/mrm8488/xlm-roberta-base-finetuned-HC3-mix },
doi = { 10.57967/hf/0306 },
publisher = { Hugging Face }
}
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- openrail
- Languages
- multilingual, af, am, ar, as, az
- Created
- Jan 25, 2023
- Updated
- Mar 19, 2023