### -------------------------- POPE (coco) --------------------------
# vanilla
# CUDA_VISIBLE_DEVICES=0 python3 -m accelerate.commands.launch \
# 	--num_processes=1 \
# 	-m lmms_eval \
# 	--model qwen2_5_omni \
# 	--model_args pretrained=Qwen/Qwen2.5-Omni-7B,attn_implementation=eager \
# 	--tasks pope \
# 	--batch_size 1 \
# 	--log_samples \
# 	--log_samples_suffix qwen2_5_omni_7b_pope \
# 	--output_path ./logs/ \
# 	--process_with_media 

### -------------------------- POPE (aokvqa) --------------------------
# vanilla
CUDA_VISIBLE_DEVICES=0 python3 -m accelerate.commands.launch \
	--num_processes=1 \
	-m lmms_eval \
	--model qwen2_5_omni \
	--model_args pretrained=Qwen/Qwen2.5-Omni-7B,attn_implementation=eager \
	--tasks pope_aokvqa \
	--batch_size 1 \
	--log_samples \
	--log_samples_suffix qwen2_5_omni_7b_pope_aokvqa \
	--output_path ./logs/ \
	--process_with_media 


### -------------------------- POPE (gqa) --------------------------
# vanilla
# CUDA_VISIBLE_DEVICES=1 python3 -m accelerate.commands.launch \
# 	--num_processes=1 \
# 	-m lmms_eval \
# 	--model qwen2_5_omni \
# 	--model_args pretrained=Qwen/Qwen2.5-Omni-7B,attn_implementation=eager \
# 	--tasks pope_gqa \
# 	--batch_size 1 \
# 	--log_samples \
# 	--log_samples_suffix qwen2_5_omni_7b_pope_gqa \
# 	--output_path ./logs/ \
# 	--process_with_media 
