Model Card for Model ID

This modelcard aims to detect text that was generated by LLMs.

Model Details

Model Description

  • Developed by: huolongguo10
  • Model type: bert
  • Language(s) (NLP): Chinese
  • License: [More Information Needed]
  • Finetuned from model [optional]: bert-base-chinese

Model Sources [optional]

  • Repository: [More Information Needed]
  • Paper [optional]: [More Information Needed]
  • Demo [optional]: [More Information Needed]

Uses

Direct Use

from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained("huolongguo10/LLM_detect")

model = AutoModelForMaskedLM.from_pretrained("huolongguo10/LLM_detect")

Training Details

Training Data

Training Procedure

Preprocessing [optional]

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Training Hyperparameters

  • Training regime: fp32

Evaluation

Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

  • Hardware Type: P100
  • Hours used: 4h
  • Cloud Provider: kaggle

Technical Specifications [optional]

Model Architecture and Objective

bert

Compute Infrastructure

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Hardware

P100

Software

transformers

Citation [optional]

BibTeX:

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APA:

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Glossary [optional]

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