---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
base_model:
- JohanHeinsen/Old_News_Segmentation_SBERT_V0.1
---
# Runaway_advertisement_identifier

This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model is designed to identify runaway advertisements from early modern Danish newspapers. It was created from a sample of 4000 texts, of which half where runaway advertisements. It was created by Johan Heinsen and Sofus Landor Dam.

Base model: JohanHeinsen/Old_News_Segmentation_SBERT_V0.1

## Metrics
Accuracy: 0.99333
F1: 0.99304

## Get started like this:
```
from setfit import SetFitModel

model = SetFitModel.from_pretrained("JohanHeinsen/Runaway_advertisement_identifier_V1")

preds = model(["Min tjenstepige løb væk fra mig i nat", "Soldaten Jonas er forsvundet fra mit hus. Enhver bedes paagribe ham, om muligt. Han bærer en sort frakke.", "Jeg savner min hund."])

label_map = {0: "nej", 1: "ja"}

predicted_labels = [label_map[int(preds[0])], label_map[int(preds[1])]]

predicted_labels
```