File size: 886 Bytes
60cfe22 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 |
---
language: en
license: mit
datasets:
- SoftAge-AI/prompt-eng_dataset
tags:
- text-classification
- prompt-classification
- bart
- bart-large-mnli
---
# BART-Large-MNLI Prompt Classification Model
This model is fine-tuned from `facebook/bart-large-mnli` on the prompt engineering dataset for classifying different types of prompts.
## Model description
This model classifies prompts into different categories based on their type.
## Intended uses & limitations
This model is intended for classifying text prompts for AI systems. It should be used for understanding the intent or type of a given prompt.
## Training data
The model was trained on the [SoftAge-AI/prompt-eng_dataset](https://huggingface.co/datasets/SoftAge-AI/prompt-eng_dataset).
## Training procedure
The model was trained for 3 epochs with a batch size of 4 and gradient accumulation steps of 8.
|