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language: fa
pipeline_tag: token-classification
library_name: transformers
---
# QomSSLab/etghan_tagging_v2
This repository hosts an XLM-RoBERTa token-classification head trained.
## Usage
```python
from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline
model_id = "QomSSLab/etghan_tagging_v2"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForTokenClassification.from_pretrained(model_id)
tagger = pipeline("token-classification", model=model, tokenizer=tokenizer, aggregation_strategy="simple")
text = "مثال از یک ورودی فارسی"
for entity in tagger(text):
print(entity)
```
## Labels
- `ABSENCE`
- `APPEALABILITY`
- `APPEAL_AUTHORITY`
- `APPEAL_DEADLINE`
- `COURT_NAME`
- `DEFENDANT_ADDRESS`
- `DEFENDANT_FATHER`
- `DEFENDANT_NAME_LEGAL`
- `DEFENDANT_NAME_NATURAL`
- `FINALITY`
- `JUDGE_NAME`
- `JUDGE_POSITION`
- `JUDGE_SIGNATURE`
- `JUDGMENT_DATE`
- `LEGAL_CHARGE`
- `LEGAL_REPRESENTATIVE`
- `O`
- `PLACE_OF_OFFENSE`
- `PLAINTIFF_ADDRESS`
- `PLAINTIFF_CLAIM`
- `PLAINTIFF_FATHER`
- `PLAINTIFF_NAME_LEGAL`
- `PLAINTIFF_NAME_NATURAL`
- `PRESENCE`
- `SUBJECT_OF_CLAIM`
- `TIME_OF_OFFENSE`
## Metrics
## Validation Metrics
- Precision: 0.8207
- Recall: 0.7751
- F1: 0.7972
- Accuracy: 0.9701
### Per-label Breakdown
| Label | Precision | Recall | F1 | Support |
| --- | --- | --- | --- | --- |
| ABSENCE | 0.8947 | 0.6071 | 0.7234 | 56 |
| APPEALABILITY | 0.9423 | 0.9976 | 0.9691 | 409 |
| APPEAL_AUTHORITY | 0.9748 | 0.9884 | 0.9816 | 431 |
| APPEAL_DEADLINE | 0.8976 | 0.9544 | 0.9252 | 395 |
| COURT_NAME | 0.5248 | 0.9815 | 0.6839 | 54 |
| DEFENDANT_ADDRESS | 0.9586 | 0.9929 | 0.9754 | 140 |
| DEFENDANT_FATHER | 0.9672 | 0.9866 | 0.9768 | 299 |
| DEFENDANT_NAME_LEGAL | 0.9101 | 1.0000 | 0.9529 | 81 |
| DEFENDANT_NAME_NATURAL | 0.9767 | 0.9254 | 0.9504 | 724 |
| FINALITY | 0.8056 | 0.8529 | 0.8286 | 34 |
| JUDGE_NAME | 0.9534 | 0.9840 | 0.9685 | 312 |
| JUDGE_POSITION | 1.0000 | 0.9615 | 0.9804 | 260 |
| JUDGE_SIGNATURE | 1.0000 | 1.0000 | 1.0000 | 0 |
| JUDGMENT_DATE | 0.9409 | 0.9835 | 0.9618 | 243 |
| LEGAL_CHARGE | 1.0000 | 0.9343 | 0.9660 | 700 |
| LEGAL_REPRESENTATIVE | 0.9552 | 0.8114 | 0.8774 | 525 |
| O | 0.9774 | 0.9912 | 0.9843 | 68829 |
| PLACE_OF_OFFENSE | 0.6667 | 0.4000 | 0.5000 | 10 |
| PLAINTIFF_ADDRESS | 0.9375 | 0.9740 | 0.9554 | 77 |
| PLAINTIFF_CLAIM | 0.8740 | 0.6617 | 0.7532 | 2779 |
| PLAINTIFF_FATHER | 0.9757 | 0.9757 | 0.9757 | 247 |
| PLAINTIFF_NAME_LEGAL | 0.7250 | 1.0000 | 0.8406 | 29 |
| PLAINTIFF_NAME_NATURAL | 0.9679 | 0.9679 | 0.9679 | 560 |
| PRESENCE | 0.9812 | 0.9573 | 0.9691 | 164 |
| SUBJECT_OF_CLAIM | 0.8039 | 0.6726 | 0.7324 | 1457 |
| TIME_OF_OFFENSE | 0.8148 | 0.4681 | 0.5946 | 47 |
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