lmms_eval/tasks/mmbench/mmbench_cc.yaml (33 lines of code) (raw):
dataset_path: lmms-lab/MMBench
dataset_name: cc
dataset_kwargs:
token: True
task: "mmbench_cn_cc"
test_split: test
output_type: generate_until
doc_to_visual: !function cc_utils.mmbench_doc_to_visual
doc_to_text: !function cc_utils.mmbench_cn_cc_doc_to_text
doc_to_target: "answer"
generation_kwargs:
max_new_tokens: 256
temperature: 0
top_p: 0
num_beams: 1
do_sample: false
process_results: !function cc_utils.mmbench_cn_cc_process_results
metric_list:
- metric: gpt_eval_score
aggregation: !function cc_utils.mmbench_cn_cc_aggregate_dev_results_eval
higher_is_better: true
- metric: submission
aggregation: !function cc_utils.mmbench_cn_cc_aggregate_results
metadata:
version: 0.0
gpt_eval_model_name: "gpt-3.5-turbo-0613"
model_specific_prompt_kwargs:
default:
pre_prompt: ""
post_prompt: "\n请直接使用所提供的选项字母作为答案回答。"
model_specific_generation_kwargs:
llava:
image_aspect_ratio: original