evaluate

EmoLLM评测

Model	ROUGE-1	ROUGE-2	ROUGE-L	BLEU-1	BLEU-2	BLEU-3	BLEU-4
Qwen1_5-0_5B-chat	27.23%	8.55%	17.05%	26.65%	13.11%	7.19%	4.05%
InternLM2_7B_chat_qlora	37.86%	15.23%	24.34%	39.71%	22.66%	14.26%	9.21%
InternLM2_7B_chat_full	32.45%	10.82%	20.17%	30.48%	15.67%	8.84%	5.02%
InternLM2_7B_base_qlora_5epoch	41.94%	20.21%	29.67%	42.98%	27.07%	19.33%	14.62%
InternLM2_7B_base_qlora_10epoch	43.47%	22.06%	31.4%	44.81%	29.15%	21.44%	16.72%

Model	Comprehensiveness	Professionalism	Authenticity	Safety
InternLM2_7B_chat_qlora	1.32	2.20	2.10	1.00
InternLM2_7B_chat_full	1.40	2.45	2.24	1.00
InternLM2_20B_chat_lora	1.42	2.39	2.22	1.00

Name	Name	Last commit message	Last commit date
parent directory ..
data_dir	data_dir
General_evaluation.md	General_evaluation.md
General_evaluation_EN.md	General_evaluation_EN.md
InternLM2_7B_chat_eval.py	InternLM2_7B_chat_eval.py
Professional_evaluation.md	Professional_evaluation.md
Professional_evaluation_EN.md	Professional_evaluation_EN.md
Qwen1_5-0_5B-Chat_eval.py	Qwen1_5-0_5B-Chat_eval.py
README.md	README.md
README_EN.md	README_EN.md
metric.py	metric.py
qwen_generation_utils.py	qwen_generation_utils.py