---
language: en
license: mit
tags:
- gpt2
- question-answering
- fine-tuned
---

# Fine-tuned Orion Model for Question Answering

This model is a fine-tuned version of the cuba6112/orion model, specialized for question answering tasks.

## Model description

The model was fine-tuned on a custom dataset of question-answer pairs. It can generate answers to various questions across different topics.

## Intended uses & limitations

This model is intended for generating answers to general knowledge questions. It should not be used for sensitive or critical applications without human oversight.

## Training data

The model was fine-tuned on a custom dataset of question-answer pairs. The dataset covers various topics including geography, history, science, and more.

## Training procedure

The model was fine-tuned using the Hugging Face Transformers library. We used a causal language modeling objective with the following hyperparameters:

- Number of epochs: 3
- Batch size: 4
- Learning rate: Default from TrainingArguments

## Evaluation results

Evaluation metrics and results will be added soon.