Descriptive Sentences Classifier

Based on AlephBERT model.

Metrics

accuracy: 0.813953488372093 </br> f1: 0.8181818181818182

How to Use the model:

from transformers import pipeline
classifier = pipeline("text-classification",model='orisuchy/Descriptive_Classifier', return_all_scores=True)
outputs = classifier("מסווג חתיך במיוחד")
print(outputs)

"""
Output:
[[
{'label': 'Descriptive', 'score': 0.999764621257782},
{'label': 'Not Descriptive', 'score': 0.00023541577684227377}]]
"""

Or, if you want only the final class:

from transformers import pipeline
classifier = pipeline("text-classification",model='orisuchy/Descriptive_Classifier')
output = classifier("הלכתי אליו הביתה וחיכיתי")
print(output)

"""
Output:
[{'label': 'Not Descriptive', 'score': 0.999901533126831}]
"""

Created by Daniel Smotritsky & Ori Suchy <br> GitHub <iframe src="https://wandb.ai/orisuchy/huggingface/reports/Shared-panel-22-03-01-15-03-08--VmlldzoxNjI5MjM0?highlightShare" style="border:none;height:1024px;width:100%">