README.md

---
language: fa
pipeline_tag: text-classification
library_name: transformers
---

# QomSSLab/verdict_classifier_v1

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

## Usage

```python
from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline

model_id = "QomSSLab/verdict_classifier_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

- `1`
- `2`
- `3`
- `4`

## Metrics

## Validation Metrics

- Precision: 0.9523
- Recall: 0.9514
- F1: 0.9514
- Accuracy: 0.9514

### Per-label Breakdown

| Label | Precision | Recall | F1 | Support |
| --- | --- | --- | --- | --- |
| 1 | 0.9643 | 0.9818 | 0.9730 | 110 |
| 2 | 0.9903 | 0.9273 | 0.9577 | 110 |
| 3 | 0.9304 | 0.9727 | 0.9511 | 110 |
| 4 | 0.8750 | 0.8750 | 0.8750 | 40 |