metadata

license: apache-2.0
datasets:
  - minhalvp/islamqa
language:
  - en
base_model:
  - openai-community/gpt2
pipeline_tag: text-generation
library_name: transformers
tags:
  - GPT-2
  - Islamic
  - QA
  - Fine-tuned
  - Text Generation
metrics:
  - name: Perplexity
    value: 170.31
    type: Perplexity
model-index:
  - name: ChadGPT
    results:
      - task:
          type: text-generation
        dataset:
          name: minhalvp/islamqa
          type: text
        metrics:
          - name: Perplexity
            value: 170.31
            type: Perplexity
        source:
          name: Self-evaluated
          url: https://huggingface.co/12sciencejnv/FinedGPT

ChadGPT

This model is a fine-tuned version of GPT-2 on the minhalvp/islamqa dataset, which consists of Islamic question-answer pairs. It is designed for generating answers to Islamic questions.

License

Apache 2.0

Datasets

The model is fine-tuned on the minhalvp/islamqa dataset from Hugging Face.

Language

English

Metrics

Perplexity: 170.31 (calculated on the validation set of the minhalvp/islamqa dataset)
Training Loss: 2.3 (final training loss after fine-tuning)

Base Model

The model is based on the gpt2 architecture.

Pipeline Tag

text-generation

Library Name

transformers

Eval Results

The model achieved a training loss of approximately 2.3 after 3 epochs of fine-tuning.

12sciencejnv
/

FinedGPT