Upload README.md with huggingface_hub
Browse files
README.md
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
language: en
|
3 |
+
license: mit
|
4 |
+
datasets:
|
5 |
+
- SoftAge-AI/prompt-eng_dataset
|
6 |
+
tags:
|
7 |
+
- text-classification
|
8 |
+
- prompt-classification
|
9 |
+
- bart
|
10 |
+
- bart-large-mnli
|
11 |
+
---
|
12 |
+
|
13 |
+
# BART-Large-MNLI Prompt Classification Model
|
14 |
+
|
15 |
+
This model is fine-tuned from `facebook/bart-large-mnli` on the prompt engineering dataset for classifying different types of prompts.
|
16 |
+
|
17 |
+
## Model description
|
18 |
+
|
19 |
+
This model classifies prompts into different categories based on their type.
|
20 |
+
|
21 |
+
## Intended uses & limitations
|
22 |
+
|
23 |
+
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.
|
24 |
+
|
25 |
+
## Training data
|
26 |
+
|
27 |
+
The model was trained on the [SoftAge-AI/prompt-eng_dataset](https://huggingface.co/datasets/SoftAge-AI/prompt-eng_dataset).
|
28 |
+
|
29 |
+
## Training procedure
|
30 |
+
|
31 |
+
The model was trained for 3 epochs with a batch size of 4 and gradient accumulation steps of 8.
|
32 |
+
|