{
  "config_general": {
    "model_name": "Qwen2-VL-7B-Instruct",
    "model_dtype": "float16",
    "model_size": 0
  },
  "results": {
    "CMMMU": {
      "accuracy": 44.78,
      "acc_stderr": 0,
      "acc": 44.78
    },
    "MMMU": {
      "accuracy": 50.44,
      "acc_stderr": 0,
      "acc": 50.44
    },
    "MMMU_Pro_standard": {
      "accuracy": 33.93,
      "acc_stderr": 0,
      "acc": 33.93
    },
    "MMMU_Pro_vision": {
      "accuracy": 25.38,
      "subject_score": {
        "Design": 50.0,
        "History": 33.93,
        "Agriculture": 11.67,
        "Sociology": 27.78,
        "Finance": 15.0,
        "Art": 39.62,
        "Pharmacy": 24.56,
        "Accounting": 8.62,
        "Energy_and_Power": 22.41,
        "Literature": 57.69,
        "Clinical_Medicine": 13.56,
        "Architecture_and_Engineering": 23.33,
        "Art_Theory": 41.82,
        "Public_Health": 12.07,
        "Electronics": 28.33,
        "Physics": 20.0,
        "Psychology": 21.67,
        "Biology": 28.81,
        "Manage": 26.0,
        "Economics": 22.03,
        "Mechanical_Engineering": 32.2,
        "Diagnostics_and_Laboratory_Medicine": 28.33,
        "Basic_Medical_Science": 28.85,
        "Computer_Science": 31.67,
        "Math": 20.0,
        "Music": 25.0,
        "Materials": 15.0,
        "Chemistry": 18.33,
        "Marketing": 15.25,
        "Geography": 25.0
      },
      "acc_stderr": 0,
      "acc": 25.38
    },
    "MmvetV2": {
      "accuracy": 56.8665,
      "capability_scores": {
        "ocr": 63.317307692307715,
        "math": 62.35294117647059,
        "spat": 53.401015228426395,
        "rec": 52.66990291262139,
        "know": 49.87179487179489,
        "gen": 52.727272727272755,
        "seq": 48.214285714285715
      },
      "capability_detail_scores": {
        "ocr_math": 80.9090909090909,
        "ocr_spat_math": 60.0,
        "ocr_rec_spat_math": 50.0,
        "rec_spat": 60.357142857142854,
        "ocr_spat": 66.15384615384616,
        "ocr_rec_spat": 40.833333333333336,
        "ocr_know_spat": 87.5,
        "ocr_rec": 62.5,
        "rec_know_spat": 35.0,
        "ocr": 80.0,
        "rec": 64.91525423728812,
        "rec_know": 42.30769230769231,
        "rec_know_gen": 51.800000000000004,
        "ocr_rec_know_gen": 63.84615384615382,
        "ocr_rec_spat_gen": 55.58139534883719,
        "ocr_spat_gen": 80.0,
        "ocr_seq_spat_math_gen": 80.0,
        "ocr_seq_spat_rec_math": 0.0,
        "rec_spat_gen": 43.18181818181818,
        "ocr_spat_math_gen": 50.0,
        "rec_spat_seq": 42.85714285714287,
        "ocr_rec_spat_seq": 50.0,
        "rec_know_spat_gen": 10.0,
        "rec_gen": 53.8235294117647,
        "ocr_rec_spat_know": 25.0,
        "ocr_spat_know": 87.5,
        "ocr_spat_rec_know_gen": 75.0,
        "ocr_rec_math": 100.0,
        "ocr_rec_gen": 51.99999999999999,
        "ocr_rec_gen_seq": 59.999999999999986,
        "ocr_gen": 76.15384615384616,
        "rec_gen_seq": 34.285714285714285,
        "rec_seq": 61.66666666666666,
        "rec_spat_gen_seq": 65.0,
        "rec_know_seq": 100.0,
        "rec_know_gen_seq": 25.0,
        "ocr_seq_spat_rec_gen": 13.333333333333334,
        "ocr_seq_rec_know_gen": 45.0,
        "rec_know_math": 0.0,
        "ocr_rec_seq": 100.0,
        "rec_spat_know": 35.0
      },
      "acc_stderr": 0,
      "acc": 56.8665
    },
    "MathVerse": {
      "Text Dominant": {
        "accuracy": 30.84,
        "correct": 243,
        "total": 788
      },
      "Total": {
        "accuracy": 27.77,
        "correct": 1094,
        "total": 3940
      },
      "Text Lite": {
        "accuracy": 29.19,
        "correct": 230,
        "total": 788
      },
      "Vision Intensive": {
        "accuracy": 28.55,
        "correct": 225,
        "total": 788
      },
      "Vision Dominant": {
        "accuracy": 28.3,
        "correct": 223,
        "total": 788
      },
      "Vision Only": {
        "accuracy": 21.95,
        "correct": 173,
        "total": 788
      },
      "accuracy": 27.77,
      "acc_stderr": 0,
      "acc": 27.77
    },
    "Ocrlite": {
      "final_score": [
        1219,
        1645
      ],
      "accuracy": 74.103,
      "Key Information Extraction-Bookshelf": [
        24,
        52
      ],
      "Scene Text-centric VQA-diet_constraints": [
        54,
        90
      ],
      "Doc-oriented VQA-Control": [
        123,
        189
      ],
      "Doc-oriented VQA": [
        149,
        204
      ],
      "Scene Text-centric VQA-Fake_logo": [
        53,
        119
      ],
      "Handwritten Mathematical Expression Recognition": [
        39,
        100
      ],
      "Key Information Extraction": [
        195,
        209
      ],
      "Scene Text-centric VQA-Control": [
        166,
        200
      ],
      "Scene Text-centric VQA": [
        241,
        282
      ],
      "Artistic Text Recognition": [
        43,
        50
      ],
      "Irregular Text Recognition": [
        46,
        50
      ],
      "Non-Semantic Text Recognition": [
        38,
        50
      ],
      "Regular Text Recognition": [
        48,
        50
      ],
      "acc_stderr": 0,
      "acc": 74.103
    },
    "OcrliteZh": {
      "final_score": [
        144,
        234
      ],
      "accuracy": 61.538,
      "Docvqa": [
        8,
        10
      ],
      "Chartqa-human": [
        5,
        10
      ],
      "Chartqa-au": [
        6,
        10
      ],
      "infographic": [
        5,
        10
      ],
      "Key Information Extraction": [
        34,
        45
      ],
      "Scene Text-centric VQA": [
        28,
        40
      ],
      "Artistic Text Recognition": [
        3,
        11
      ],
      "IrRegular Text Recognition": [
        8,
        11
      ],
      "Non-semantic Text Recognition": [
        9,
        12
      ],
      "Regular Text Recognition": [
        10,
        11
      ],
      "Handwriting_CN": [
        14,
        20
      ],
      "Chinese Unlimited": [
        14,
        44
      ],
      "acc_stderr": 0,
      "acc": 61.538
    },
    "CharXiv": {
      "descriptive": {
        "Overall Score": 58.55,
        "By Question": {
          "Q1": 76.64,
          "Q2": 81.3,
          "Q3": 69.96,
          "Q4": 85.21,
          "Q5": 81.17,
          "Q6": 59.44,
          "Q7": 65.38,
          "Q8": 59.38,
          "Q9": 59.7,
          "Q10": 74.66,
          "Q11": 29.71,
          "Q12": 46.7,
          "Q13": 64.84,
          "Q14": 33.69,
          "Q15": 30.03,
          "Q16": 52.78,
          "Q17": 8.93,
          "Q18": 67.61,
          "Q19": 84.62
        },
        "By Category": {
          "Information Extraction": 74.2,
          "Enumeration": 47.13,
          "Pattern Recognition": 51.97,
          "Counting": 63.36,
          "Compositionality": 8.93
        },
        "By Subplot": {
          "1 Subplot": 66.9,
          "2-4 Subplots": 56.68,
          "5+ Subplots": 47.88
        },
        "By Subject": {
          "Computer Science": 58.13,
          "Economics": 60.87,
          "Electrical Engineering and Systems Science": 61.34,
          "Mathematics": 61.11,
          "Physics": 54.53,
          "Quantitative Biology": 52.38,
          "Quantitative Finance": 61.64,
          "Statistics": 58.41
        },
        "By Year": {
          "2020": 56.48,
          "2021": 57.95,
          "2022": 60.86,
          "2023": 58.97
        },
        "N_valid": 4000,
        "N_invalid": 5,
        "Question Type": "Descriptive"
      },
      "reasoning": {
        "Overall Score": 33.5,
        "By Answer Type": {
          "Text-in-Chart": 35.45,
          "Text-in-General": 39.39,
          "Number-in-Chart": 34.05,
          "Number-in-General": 26.64
        },
        "By Source": {
          "GPT-Sourced": 38.04,
          "GPT-Inspired": 27.78,
          "Completely Human": 34.17
        },
        "By Subject": {
          "Computer Science": 28.57,
          "Economics": 32.61,
          "Electrical Engineering and Systems Science": 42.02,
          "Mathematics": 35.56,
          "Physics": 40.16,
          "Quantitative Biology": 34.13,
          "Quantitative Finance": 26.72,
          "Statistics": 27.43
        },
        "By Year": {
          "2020": 33.2,
          "2021": 36.78,
          "2022": 30.33,
          "2023": 33.47
        },
        "By Subplot": {
          "1 Subplot": 36.01,
          "2-4 Subplots": 30.95,
          "5+ Subplots": 33.47
        },
        "N_valid": 1000,
        "N_invalid": 2,
        "Question Type": "Reasoning"
      },
      "accuracy": 46.02,
      "acc_stderr": 0,
      "acc": 46.02
    },
    "MathVision": {
      "accuracy": 17.04,
      "acc_stderr": 0,
      "acc": 17.04
    },
    "CII-Bench": {
      "accuracy": 51.24,
      "domain_score": {
        "Life": 41.99,
        "Art": 55.15,
        "CTC": 51.85,
        "Society": 51.89,
        "Env.": 74.07,
        "Politics": 58.33
      },
      "emotion_score": {
        "Neutral": 53.76,
        "Negative": 48.68,
        "Positive": 51.28
      },
      "acc_stderr": 0,
      "acc": 51.24
    },
    "Blink": {
      "accuracy": 50.08,
      "Art Style": 59.83,
      "Counting": 69.17,
      "Forensic Detection": 30.3,
      "Functional Correspondence": 21.54,
      "IQ Test": 28.0,
      "Jigsaw": 49.33,
      "Multi-view Reasoning": 42.86,
      "Object Localization": 54.92,
      "Relative Depth": 67.74,
      "Relative Reflectance": 39.55,
      "Semantic Correspondence": 31.65,
      "Spatial Relation": 83.92,
      "Visual Correspondence": 44.19,
      "Visual Similarity": 84.44,
      "acc_stderr": 0,
      "acc": 50.08
    }
  }
}