Update README.md

README.md

@@ -8,7 +8,7 @@ Breeze-7B-Instruct-v0.1 is a 7-billion-parameter language model built from Mistr
 This model expands the TC vocabulary (extra 30k TC tokens) based on the original Mistral-7B to better adapt to TC and improve inference speed, 
 resulting in a doubling of the original tokenizer's inference speed.
 To the best of our knowledge, this is the first work on vocabulary expansion in TC. 
-This model uses 250GB of TC data for continued pre-training and further uses over 1M instances for fine-tuning. 
+This model uses 250GB of TC data for continued pre-training and uses over 1M instances for further supervised fine-tuning. 
 Breeze-7B-Instruct-v0.1 performs well on both EN and TC benchmarks. 
 This model outperforms Taiwan-LLM-7B-v2.1-chat, Taiwan-LLM-13B-v2.0-chat, and Yi-6B-Chat on all TC benchmarks 
 and is comparable with Mistral-7B-Instruct-v0.1 on MMLU and MT-Bench in English.