Crossing Linguistic Horizons

Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models

Robustness-Aware Text Classification Leaderboard

Models UiT-VSMEC PhoATIS
AC F1 AR ECE A@10 AC F1 AR ECE A@10
URA-LLaMa 70B 0.25 ± 0.00 0.16 ± 0.00 0.56 ± 0.02 0.20 ± 0.00 0.33 ± 0.00 0.16 ± 0.02 0.26 ± 0.03 0.79 ± 0.00 0.79 ± 0.02 0.08 ± 0.06
URA-LLaMa 13B 0.30 ± 0.00 0.11 ± 0.00 0.51 ± 0.01 0.26 ± 0.00 0.44 ± 0.00 0.01 ± 0.01 0.05 ± 0.01 0.47 ± 0.01 0.84 ± 0.01 0.00 ± 0.04
URA-LLaMa 7B 0.29 ± 0.00 0.10 ± 0.00 0.57 ± 0.01 0.17 ± 0.00 0.30 ± 0.00 0.02 ± 0.01 0.04 ± 0.00 0.55 ± 0.01 0.18 ± 0.01 0.01 ± 0.02
LLaMa-2 13B 0.19 ± 0.00 0.07 ± 0.00 0.52 ± 0.01 0.47 ± 0.00 0.43 ± 0.00 0.02 ± 0.00 0.06 ± 0.00 0.57 ± 0.01 0.91 ± 0.00 0.01 ± 0.00
LLaMa-2 7B 0.17 ± 0.00 0.10 ± 0.00 0.55 ± 0.00 0.33 ± 0.00 0.29 ± 0.00 0.01 ± 0.01 0.00 ± 0.00 0.56 ± 0.00 0.69 ± 0.01 0.02 ± 0.02
Vietcuna 7B 0.09 ± 0.00 0.09 ± 0.00 0.51 ± 0.01 0.91 ± 0.00 0.09 ± 0.00 0.02 ± 0.01 0.01 ± 0.00 0.55 ± 0.01 0.23 ± 0.01 0.02 ± 0.01
MixSUra 8x7B 0.35 ± - 0.27 ± - 0.70 ± - 0.58 ± - 0.70 ± - 0.80 ± - 55 ± - 0.94 ± - 0.15 ± - 0.88 ± -
GPT-3.5 0.42 ± 0.00 0.41 ± 0.00 - 0.28 ± 0.00 0.30 ± 0.00 0.68 ± 0.02 0.64 ± 0.03 - 0.62 ± 0.02 0.70 ± 0.05
GPT-4 0.48 ± 0.00 0.45 ± 0.00 - 0.33 ± 0.00 0.40 ± 0.00 0.86 ± 0.01 0.80 ± 0.02 - 0.80 ± 0.01 0.91 ± 0.03