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---
license: apache-2.0
base_model: bartpho
tags:
- vietnamese
- hate-speech
- span-detection
- token-classification
- nlp
datasets:
- visolex/ViHOS
model-index:
- name: bartpho-hsd-span
results:
- task:
type: token-classification
name: Hate Speech Span Detection
dataset:
name: visolex/ViHOS
type: visolex/ViHOS
metrics:
- type: f1
value: 0.3361
- type: precision
value: 0.5521
- type: recall
value: 0.5095
- type: exact_match
value: 0.0226
---
# bartpho-hsd-span: Hate Speech Span Detection (Vietnamese)
This model is a fine-tuned version of [bartpho](https://huggingface.co/bartpho) for Vietnamese **Hate Speech Span Detection**.
## Model Details
- Base Model: `bartpho`
- Description: Vietnamese Hate Speech Span Detection
- Framework: HuggingFace Transformers
- Task: Hate Speech Span Detection (token/char-level spans)
### Hyperparameters
- Max sequence length: `64`
- Learning rate: `5e-6`
- Batch size: `32`
- Epochs: `100`
- Early stopping patience: `5`
## Results
- F1: `0.3361`
- Precision: `0.5521`
- Recall: `0.5095`
- Exact Match: `0.0226`
## Usage
```python
from transformers import AutoTokenizer, AutoModelForTokenClassification
import torch
model_name = "bartpho-hsd-span"
tok = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForTokenClassification.from_pretrained(model_name)
text = "Ví dụ câu tiếng Việt có nội dung thù ghét ..."
enc = tok(text, return_tensors="pt", truncation=True, max_length=256, is_split_into_words=False)
with torch.no_grad():
logits = model(**enc).logits
pred_ids = logits.argmax(-1)[0].tolist()
# TODO: chuyển pred_ids -> spans theo scheme nhãn của bạn (BIO/BILOU/char-offset)
```
## License
Apache-2.0
## Acknowledgments
- Base model: [bartpho](https://huggingface.co/bartpho)
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