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README.md

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@@ -190,6 +190,19 @@ We also provide the raw data exported from Weights & Biases for the detailed res
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- MMMU (mmmu)
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- MMMU Validation (mmmu_val)
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- MMMU Test (mmmu_test)
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- MMUPDBench (mmupdbench)
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- MMUPDBench Base (mmupdbench_base)
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- MMAADBench Base (mmaadbench_base)
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- MMIASDBench Base (mmiasdbench_base)
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- MMIVQDBench Base (mmivqdbench_base)
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- MMUPDBench Option (mmupdbench_option)
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- MMAADBench Option (mmaadbench_option)
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- MMIASDBench Option (mmiasdbench_option)
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- MMIVQDBench Option (mmivqdbench_option)
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- MMUPDBench Instruction (mmupdbench_instruction)
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- MMAADBench Instruction (mmaadbench_instruction)
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- MMIASDBench Instruction (mmiasdbench_instruction)
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- MMIVQDBench Instruction (mmivqdbench_instruction)
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- MMVet (mmvet)
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- Multi-DocVQA (multidocvqa)
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- Multi-DocVQA Validation (multidocvqa_val)
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dataset_path: MM-UPD/MM-UPD
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doc_to_target: "answer"
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model_specific_prompt_kwargs:
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default:
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pre_prompt: ""
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post_prompt: "\n"
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doc_to_visual: !function utils.mmupdbench_doc_to_visual
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doc_to_text: !function utils.mmupdbench_doc_to_text
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doc_to_target: "answer"
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process_results: !function utils.mmupdbench_process_results
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model_specific_generation_kwargs:
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llava:
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image_aspect_ratio: original
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output_type: generate_until
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dataset_name: mmaad_base
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generation_kwargs:
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until:
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- "ASSISTANT:"
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max_new_tokens: 1024
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temperature: 0
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top_p: 0
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num_beams: 1
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do_sample: false
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dataset_path: MM-UPD/MM-UPD
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doc_to_target: "answer"
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model_specific_prompt_kwargs:
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default:
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pre_prompt: ""
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post_prompt: "\nIf all the options are incorrect, answer \"F. None of the above\"."
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doc_to_visual: !function utils.mmupdbench_doc_to_visual
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doc_to_text: !function utils.mmupdbench_doc_to_text
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doc_to_target: "answer"
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process_results: !function utils.mmupdbench_process_results
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model_specific_generation_kwargs:
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llava:
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image_aspect_ratio: original
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output_type: generate_until
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dataset_name: mmaad_base
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generation_kwargs:
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until:
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- "ASSISTANT:"
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max_new_tokens: 1024
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temperature: 0
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top_p: 0
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num_beams: 1
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do_sample: false
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dataset_path: MM-UPD/MM-UPD
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doc_to_target: "answer"
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model_specific_prompt_kwargs:
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default:
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pre_prompt: ""
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post_prompt: "\nAnswer with the option's letter from the given choices directly."
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doc_to_visual: !function utils.mmupdbench_doc_to_visual
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doc_to_text: !function utils.mmupdbench_doc_to_text
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doc_to_target: "answer"
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process_results: !function utils.mmupdbench_process_results
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model_specific_generation_kwargs:
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llava:
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image_aspect_ratio: original
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output_type: generate_until
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dataset_name: mmaad_option
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generation_kwargs:
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until:
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- "ASSISTANT:"
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max_new_tokens: 1024
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temperature: 0
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top_p: 0
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num_beams: 1
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do_sample: false
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dataset_path: MM-UPD/MM-UPD
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doc_to_target: "answer"
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model_specific_prompt_kwargs:
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default:
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pre_prompt: ""
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post_prompt: "\n"
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doc_to_visual: !function utils.mmupdbench_doc_to_visual
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doc_to_text: !function utils.mmupdbench_doc_to_text
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doc_to_target: "answer"
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process_results: !function utils.mmupdbench_process_results
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model_specific_generation_kwargs:
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llava:
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image_aspect_ratio: original
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output_type: generate_until
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dataset_name: mmiasd_base
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generation_kwargs:
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until:
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- "ASSISTANT:"
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max_new_tokens: 1024
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temperature: 0
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top_p: 0
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num_beams: 1
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do_sample: false
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dataset_path: MM-UPD/MM-UPD
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doc_to_target: "answer"
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model_specific_prompt_kwargs:
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default:
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pre_prompt: ""
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post_prompt: "\nIf all the options are incorrect, answer \"F. None of the above\"."
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doc_to_visual: !function utils.mmupdbench_doc_to_visual
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doc_to_text: !function utils.mmupdbench_doc_to_text
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doc_to_target: "answer"
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process_results: !function utils.mmupdbench_process_results
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model_specific_generation_kwargs:
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llava:
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image_aspect_ratio: original
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output_type: generate_until
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dataset_name: mmiasd_base
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generation_kwargs:
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until:
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- "ASSISTANT:"
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max_new_tokens: 1024
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temperature: 0
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top_p: 0
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num_beams: 1
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do_sample: false
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dataset_path: MM-UPD/MM-UPD
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doc_to_target: "answer"
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model_specific_prompt_kwargs:
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default:
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pre_prompt: ""
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post_prompt: "\nAnswer with the option's letter from the given choices directly."
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doc_to_visual: !function utils.mmupdbench_doc_to_visual
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doc_to_text: !function utils.mmupdbench_doc_to_text
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doc_to_target: "answer"
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process_results: !function utils.mmupdbench_process_results
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model_specific_generation_kwargs:
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llava:
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image_aspect_ratio: original
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output_type: generate_until
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dataset_name: mmiasd_option
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generation_kwargs:
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until:
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- "ASSISTANT:"
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max_new_tokens: 1024
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temperature: 0
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top_p: 0
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num_beams: 1
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do_sample: false
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dataset_path: MM-UPD/MM-UPD
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doc_to_target: "answer"
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model_specific_prompt_kwargs:
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default:
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pre_prompt: ""
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post_prompt: "\n"
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doc_to_visual: !function utils.mmupdbench_doc_to_visual
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doc_to_text: !function utils.mmupdbench_doc_to_text
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doc_to_target: "answer"
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process_results: !function utils.mmupdbench_process_results
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model_specific_generation_kwargs:
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llava:
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image_aspect_ratio: original
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output_type: generate_until
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dataset_name: mmivqd_base
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generation_kwargs:
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until:
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- "ASSISTANT:"
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max_new_tokens: 1024
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temperature: 0
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top_p: 0
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num_beams: 1
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do_sample: false
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dataset_path: MM-UPD/MM-UPD
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doc_to_target: "answer"
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model_specific_prompt_kwargs:
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default:
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pre_prompt: ""
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post_prompt: "\nIf the given image is irrelevant to the question, answer \"F. The image and question are irrelevant.\"."
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doc_to_visual: !function utils.mmupdbench_doc_to_visual
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doc_to_text: !function utils.mmupdbench_doc_to_text
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doc_to_target: "answer"
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process_results: !function utils.mmupdbench_process_results
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model_specific_generation_kwargs:
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llava:
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image_aspect_ratio: original
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output_type: generate_until
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dataset_name: mmivqd_base
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generation_kwargs:
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until:
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- "ASSISTANT:"
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max_new_tokens: 1024
20+
temperature: 0
21+
top_p: 0
22+
num_beams: 1
23+
do_sample: false
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dataset_path: MM-UPD/MM-UPD
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doc_to_target: "answer"
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model_specific_prompt_kwargs:
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default:
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pre_prompt: ""
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post_prompt: "\nAnswer with the option's letter from the given choices directly."
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doc_to_visual: !function utils.mmupdbench_doc_to_visual
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doc_to_text: !function utils.mmupdbench_doc_to_text
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doc_to_target: "answer"
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process_results: !function utils.mmupdbench_process_results
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model_specific_generation_kwargs:
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llava:
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image_aspect_ratio: original
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output_type: generate_until
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dataset_name: mmivqd_option
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generation_kwargs:
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until:
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- "ASSISTANT:"
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max_new_tokens: 1024
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temperature: 0
21+
top_p: 0
22+
num_beams: 1
23+
do_sample: false

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