notesum.ai
Published at November 27Challenges in Adapting Multilingual LLMs to Low-Resource Languages using LoRA PEFT Tuning
cs.CL
cs.LG
Released Date: November 27, 2024
Authors: Omkar Khade1, Shruti Jagdale1, Abhishek Phaltankar1, Gauri Takalikar1, Raviraj Joshi2
Aff.: 1Pune Institute of Computer Technology, Pune, India; Indian Institute of Technology Madras, Chennai, India; 2Indian Institute of Technology Madras, Chennai, India; L3Cube Labs Pune, India

| MODEL | F1 Scores | ||||
|---|---|---|---|---|---|
| indicsentiment | ai2_arc-easy | arc challenge | indic copa | indic xnli | |
| gemma-2b | 0.7772 | 0.4435 | 0.4240 | 0.6547 | 0.3582 |
| gemma-2b-it | 0.7444 | 0.4651 | 0.4043 | 0.2963 | 0.3066 |
| gemma-2b (Mr) | 0.9397 | 0.6048 | 0.3848 | 0.4219 | 0.1675 |