hung2903/vaccinenlp-bamibert-multitask

VaccineNLP - BamiBERT Multitask (VI vaccine: misinfo / stance / sentiment)

Multi-task classifier fine-tuned tu BamiBERT cho van ban vaccine tieng Viet, 3 head:

• misinfo: {Fake, Real}
• stance: {Favor, Against, Neutral}
• sentiment: {Negative, Neutral, Positive}

Input: raw text (BamiBERT byte-BPE, KHONG word-segmentation), max_len 256. Train 10 epoch, class-weighted loss. Cung du lieu + split (seed=42) voi PhoBERT-v2 de so cong bang.

So sanh voi PhoBERT-v2 (cung eval harness, benchmark_test_set_v3, 186 mau)

Model	misinfo macro-F1	Fake-recall	stance	sentiment
PhoBERT-v2 (argmax)	0.6941	0.6071	0.6570	0.7279
BamiBERT (argmax 0.5)	0.7458	0.5000	0.6423	0.7446
BamiBERT (thr=0.325, val-chon)	0.7688	0.6071	0.6423	0.7446

Ket luan: BamiBERT + hieu chinh nguong (chon tren VAL seed=42, ap len test, zero-leakage) dat misinfo macro-F1 0.7688 (+0.075 so PhoBERT) voi Fake-recall bang PhoBERT (0.6071) - KHONG can re-train. Theo nguyen tac "model quyet nhan, code quyet nguong/do tin". Diem manh phu: BamiBERT bo word-segmentation (raw text) + context 2050 vs PhoBERT 256.

Han che

• Test nho (28 Fake / 186 mau). Y nghia thong ke cho benchmark vaccine-VN lon hon.
• Nguong 0.325 chon tren 10% validation split (seed 42). Metric tu lan chay tham chieu (train co randomness ngoai split).

License

CC BY 4.0 (ke thua BamiBERT).