Model: HighOnCaffiene/grievance-priority-classifier
Author: HighOnCaffiene
Pipeline: text-classification
Library: scikit-learn
Tags: scikit-learn, joblib, hybrid-model, logistic-regression, sentence-transformers, sbert, ne-en, rule-based, text-priority, low-resource-nlp, multilingual, civictech, complaint-triage, emergency-detection, text-classification, ne, en, base_model:sentence-transformers/all-MiniLM-L6-v2, base_model:finetune:sentence-transformers/all-MiniLM-L6-v2, license:apache-2.0, region:us
Base models (finetune): id: sentence-transformers/all-MiniLM-L6-v2
Card metadata: license: apache-2.0
language: ne, en
metrics: accuracy, f1, precision, recall
base_model: sentence-transformers/all-MiniLM-L6-v2
new_version: 1.0.0
pipeline_tag: text-classification
library_name: scikit-learn
tags: hybrid-model, logistic-regression, sentence-transformers, sbert, ne-en, rule-based, text-priority, low-resource-nlp, multilingual, civictech, complaint-triage, emergency-detection
eval_results: task: type: text-classification
name: Priority Detection (Nepali + English)
dataset: name: priority_clean.csv (custom)
type: csv
size: 266 samples
metrics: accuracy: 0.725
f1_macro: 0.72
precision_macro: 0.73
recall_macro: 0.73
per_class: HIGH: precision: 0.73
recall: 0.66
f1: 0.69
MEDIUM: precision: 0.74
recall: 0.8
f1: 0.76
LOW: precision: 0.71
recall: 0.72
f1: 0.71
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Created: 2025-11-09 11:53:27