Le Van Huy

PhoBERT Moderation v1.1 is a fine-tuned sequence classification model based on vinai/phobert-base-v2 for contextual text moderation in Vietnamese social networks, with a dedicated focus on mental health awareness and crisis intervention. Traditional keyword-based moderation often struggles to distinguish between harmless personal venting and actual malicious hate speech, or fails to detect acute emotional distress. This model implements a nuanced 4-class taxonomy: CLEAN (An toàn / Tích cực) PROFANITYVENTING (Xả bực dọc / Chửi thề vô hại) HATESPEECH (Thù ghét / Công kích xúc phạm) SELFHARMCRISIS (Khủng hoảng tâm lý / Nguy cơ tự hại) Trained on a curated Vietnamese social corpus integrating…

PhoBERT Emotion v1.1 is a fine-tuned sequence classification model based on vinai/phobert-base-v2 for 7-class emotion recognition in Vietnamese social media texts: Enjoyment (Thích thú / Vui vẻ) Sadness (Buồn bã) Disgust (Chán ghét / Khinh bỉ) Anger (Tức giận) Fear (Sợ hãi) Surprise (Ngạc nhiên) Other (Khác / Trung tính) The model is trained on a curated and balanced Vietnamese social corpus (11,193 samples) with anti-overfitting techniques (Cosine Annealing scheduler, early stopping, and weight decay). In addition to standard PyTorch weights, optimized ONNX FP32 and ONNX Dynamic INT8 formats are provided for high-speed, resource-efficient CPU inference in production environments. The model…