visolex / xlm-r-hsd-span

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Model's Last Updated: October 31 2025
token-classification

Introduction of xlm-r-hsd-span

Model Details of xlm-r-hsd-span

xlm-r-hsd-span: Hate Speech Span Detection (Vietnamese)

This model is a fine-tuned version of xlm-r for Vietnamese Hate Speech Span Detection .

Model Details
  • Base Model: xlm-r
  • 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: N/A
  • Precision: N/A
  • Recall: N/A
  • Exact Match: 0.0099
Usage
from transformers import AutoTokenizer, AutoModelForTokenClassification
import torch

model_name = "xlm-r-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

Runs of visolex xlm-r-hsd-span on huggingface.co

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