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QomSSLab/SubjectClassifier-v1

This repository hosts a sequence-classification head trained for text classification.

Usage

from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline

model_id = "QomSSLab/SubjectClassifier-v1"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForSequenceClassification.from_pretrained(model_id)
classifier = pipeline("text-classification", model=model, tokenizer=tokenizer)

text = "مثال از یک ورودی فارسی"
print(classifier(text))

Labels

اخلاق
تاریخ
حدیث
سیاسی
فقه و احکام
قرآن
مشاوره
کلام و اعتقادات

Metrics

Validation Metrics

Precision: 0.9717
Recall: 0.9713
F1: 0.9713
Accuracy: 0.9713

Per-label Breakdown

Label	Precision	Recall	F1	Support
اخلاق	0.9455	0.9598	0.9526	199
تاریخ	0.9815	1.0000	0.9907	53
حدیث	0.9487	0.9823	0.9652	113
سیاسی	1.0000	0.9693	0.9844	163
فقه و احکام	0.9652	1.0000	0.9823	222
قرآن	1.0000	0.9875	0.9937	80
مشاوره	0.9670	0.9263	0.9462	95
کلام و اعتقادات	0.9818	0.9558	0.9686	226

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Safetensors

Model size

0.6B params

Tensor type

F32