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phobert-hsd – AI Model by visolex | AlphaNeural AI

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visolex/
phobert-hsd

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hate-speech-detection

text-classification

vinai/phobert-base

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PhoBERT‑HSD: Hate Speech Detection for Vietnamese Text

Fine‑tuned from vinai/phobert-base on the VN‑HSD dataset.

Model Details

Base Model: vinai/phobert-base
Dataset: VN‑HSD (ViSoLex‑HSD unified hate speech corpus)
Fine‑tuning: HuggingFace Transformers

Hyperparameters

Batch size: 32
Learning rate: 5e-5
Epochs: 100
Max sequence length: 256

Results

Accuracy: <INSERT_ACCURACY>
F1 Score: <INSERT_F1_SCORE>

Usage

python

from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("visolex/phobert-hsd")
model = AutoModelForSequenceClassification.from_pretrained("visolex/phobert-hsd")

text = "Đừng nói những lời thô tục như vậy!"
inputs = tokenizer(text, return_tensors="pt", truncation=True, max_length=256)
pred = model(**inputs).logits.argmax(dim=-1).item()
print(f"Label: {['CLEAN','OFFENSIVE','HATE'][pred]}")