{
  "config_general": {
    "model_name": "Llama-3.2-11B-Vision-Instruct",
    "model_dtype": "float16",
    "model_size": 0
  },
  "results": {
    "CMMMU": {
      "accuracy": 28.89,
      "acc_stderr": 0,
      "acc": 28.89
    },
    "MMMU": {
      "accuracy": 38.33,
      "acc_stderr": 0,
      "acc": 38.33
    },
    "MMMU_Pro_standard": {
      "accuracy": 26.53,
      "acc_stderr": 0,
      "acc": 26.53
    },
    "MMMU_Pro_vision": {
      "accuracy": 12.6,
      "subject_score": {
        "History": 8.93,
        "Art": 1.89,
        "Design": 3.33,
        "Literature": 1.92,
        "Agriculture": 18.33,
        "Finance": 10.0,
        "Sociology": 9.26,
        "Accounting": 17.24,
        "Energy_and_Power": 12.07,
        "Pharmacy": 33.33,
        "Architecture_and_Engineering": 11.67,
        "Clinical_Medicine": 3.39,
        "Public_Health": 12.07,
        "Physics": 16.67,
        "Art_Theory": 7.27,
        "Electronics": 11.67,
        "Psychology": 13.33,
        "Biology": 11.86,
        "Manage": 22.0,
        "Economics": 10.17,
        "Mechanical_Engineering": 16.95,
        "Diagnostics_and_Laboratory_Medicine": 13.33,
        "Basic_Medical_Science": 9.62,
        "Computer_Science": 16.67,
        "Math": 6.67,
        "Music": 13.33,
        "Materials": 11.67,
        "Marketing": 10.17,
        "Chemistry": 25.0,
        "Geography": 17.31
      },
      "acc_stderr": 0,
      "acc": 12.6
    },
    "MmvetV2": {
      "reject_info": {
        "reject_rate": 54.35,
        "reject_number": 281,
        "total_question": 517
      },
      "accuracy": 41.9068,
      "capability_scores": {
        "ocr": 54.27184466019417,
        "math": 44.00000000000001,
        "spat": 56.62921348314607,
        "rec": 34.47852760736196,
        "know": 29.047619047619044,
        "gen": 31.79775280898876,
        "seq": 25.0
      },
      "capability_detail_scores": {
        "ocr_math": 36.36363636363637,
        "ocr_math_spat": 56.42857142857143,
        "ocr_math_rec_spat": 25.0,
        "rec_spat": 54.666666666666664,
        "ocr_spat": 77.6923076923077,
        "ocr_rec_spat": 28.57142857142857,
        "ocr_spat_know": 100.0,
        "ocr_rec": 45.0,
        "rec_spat_know": 0.0,
        "ocr": 36.0,
        "rec": 41.842105263157904,
        "rec_know": 18.88888888888889,
        "gen_rec_know": 25.967741935483872,
        "ocr_gen_rec_know": 45.0,
        "ocr_gen_rec_spat": 66.25,
        "ocr_gen_spat": 70.0,
        "math_gen_spat_ocr_seq": 50.0,
        "math_spat_rec_ocr_seq": 0.0,
        "gen_rec_spat": 15.714285714285717,
        "ocr_math_gen_spat": 30.0,
        "seq_rec_spat": 0,
        "ocr_seq_rec_spat": 0,
        "gen_rec_spat_know": 0,
        "gen_rec": 0,
        "ocr_rec_spat_know": 0,
        "gen_spat_rec_ocr_know": 0,
        "ocr_math_rec": 0,
        "ocr_gen_rec": 0,
        "ocr_seq_gen_rec": 0,
        "ocr_gen": 0,
        "seq_gen_rec": 0,
        "seq_rec": 0,
        "seq_gen_rec_spat": 0,
        "seq_rec_know": 0,
        "seq_gen_rec_know": 0,
        "gen_spat_rec_ocr_seq": 0,
        "gen_rec_ocr_seq_know": 0,
        "math_rec_know": 0,
        "ocr_seq_rec": 0
      },
      "acc_stderr": 0,
      "acc": 41.9068
    },
    "MathVerse": {
      "Text Dominant": {
        "accuracy": 38.58,
        "correct": 304,
        "total": 788
      },
      "Total": {
        "accuracy": 27.08,
        "correct": 1067,
        "total": 3940
      },
      "Text Lite": {
        "accuracy": 26.78,
        "correct": 211,
        "total": 788
      },
      "Vision Intensive": {
        "accuracy": 26.9,
        "correct": 212,
        "total": 788
      },
      "Vision Dominant": {
        "accuracy": 22.97,
        "correct": 181,
        "total": 788
      },
      "Vision Only": {
        "accuracy": 20.18,
        "correct": 159,
        "total": 788
      },
      "accuracy": 27.08,
      "acc_stderr": 0,
      "acc": 27.08
    },
    "Ocrlite": {
      "final_score": [
        433,
        1645
      ],
      "accuracy": 26.322,
      "Key Information Extraction-Bookshelf": [
        15,
        52
      ],
      "Scene Text-centric VQA-diet_constraints": [
        3,
        90
      ],
      "Doc-oriented VQA-Control": [
        95,
        189
      ],
      "Doc-oriented VQA": [
        71,
        204
      ],
      "Scene Text-centric VQA-Fake_logo": [
        14,
        119
      ],
      "Handwritten Mathematical Expression Recognition": [
        1,
        100
      ],
      "Key Information Extraction": [
        57,
        209
      ],
      "Scene Text-centric VQA-Control": [
        61,
        200
      ],
      "Scene Text-centric VQA": [
        24,
        282
      ],
      "Artistic Text Recognition": [
        29,
        50
      ],
      "Irregular Text Recognition": [
        33,
        50
      ],
      "Non-Semantic Text Recognition": [
        4,
        50
      ],
      "Regular Text Recognition": [
        26,
        50
      ],
      "acc_stderr": 0,
      "acc": 26.322
    },
    "OcrliteZh": {
      "final_score": [
        3,
        234
      ],
      "accuracy": 1.282,
      "Docvqa": [
        0,
        10
      ],
      "Chartqa-human": [
        0,
        10
      ],
      "Chartqa-au": [
        0,
        10
      ],
      "infographic": [
        0,
        10
      ],
      "Key Information Extraction": [
        0,
        45
      ],
      "Scene Text-centric VQA": [
        0,
        40
      ],
      "Artistic Text Recognition": [
        0,
        11
      ],
      "IrRegular Text Recognition": [
        0,
        11
      ],
      "Non-semantic Text Recognition": [
        0,
        12
      ],
      "Regular Text Recognition": [
        0,
        11
      ],
      "Handwriting_CN": [
        1,
        20
      ],
      "Chinese Unlimited": [
        2,
        44
      ],
      "acc_stderr": 0,
      "acc": 1.282
    },
    "CharXiv": {
      "descriptive": {
        "Overall Score": 52.58,
        "By Question": {
          "Q1": 38.93,
          "Q2": 75.22,
          "Q3": 64.81,
          "Q4": 78.99,
          "Q5": 75.73,
          "Q6": 67.07,
          "Q7": 65.81,
          "Q8": 53.57,
          "Q9": 59.7,
          "Q10": 65.07,
          "Q11": 31.43,
          "Q12": 65.38,
          "Q13": 51.6,
          "Q14": 22.34,
          "Q15": 16.29,
          "Q16": 55.56,
          "Q17": 11.16,
          "Q18": 60.32,
          "Q19": 75.38
        },
        "By Category": {
          "Information Extraction": 66.67,
          "Enumeration": 37.69,
          "Pattern Recognition": 48.91,
          "Counting": 66.92,
          "Compositionality": 11.16
        },
        "By Subplot": {
          "1 Subplot": 59.65,
          "2-4 Subplots": 50.99,
          "5+ Subplots": 43.54
        },
        "By Subject": {
          "Computer Science": 50.0,
          "Economics": 53.8,
          "Electrical Engineering and Systems Science": 56.09,
          "Mathematics": 53.7,
          "Physics": 47.83,
          "Quantitative Biology": 48.81,
          "Quantitative Finance": 55.39,
          "Statistics": 55.53
        },
        "By Year": {
          "2020": 53.04,
          "2021": 51.82,
          "2022": 53.59,
          "2023": 51.92
        },
        "N_valid": 4000,
        "N_invalid": 0,
        "Question Type": "Descriptive"
      },
      "reasoning": {
        "Overall Score": 27.7,
        "By Answer Type": {
          "Text-in-Chart": 30.68,
          "Text-in-General": 33.33,
          "Number-in-Chart": 26.72,
          "Number-in-General": 20.52
        },
        "By Source": {
          "GPT-Sourced": 33.7,
          "GPT-Inspired": 26.39,
          "Completely Human": 26.33
        },
        "By Subject": {
          "Computer Science": 25.4,
          "Economics": 26.81,
          "Electrical Engineering and Systems Science": 27.73,
          "Mathematics": 35.56,
          "Physics": 32.28,
          "Quantitative Biology": 23.02,
          "Quantitative Finance": 24.14,
          "Statistics": 25.66
        },
        "By Year": {
          "2020": 25.1,
          "2021": 30.27,
          "2022": 29.1,
          "2023": 26.21
        },
        "By Subplot": {
          "1 Subplot": 25.39,
          "2-4 Subplots": 31.22,
          "5+ Subplots": 25.85
        },
        "N_valid": 1000,
        "N_invalid": 18,
        "Question Type": "Reasoning"
      },
      "accuracy": 40.14,
      "acc_stderr": 0,
      "acc": 40.14
    },
    "MathVision": {
      "accuracy": 15.72,
      "acc_stderr": 0,
      "acc": 15.72
    },
    "CII-Bench": {
      "accuracy": 1.44,
      "domain_score": {
        "Life": 1.3,
        "Art": 0.74,
        "CTC": 1.48,
        "Society": 0.54,
        "Env.": 7.41,
        "Politics": 0.0
      },
      "emotion_score": {
        "Neutral": 1.88,
        "Negative": 1.13,
        "Positive": 1.28
      },
      "acc_stderr": 0,
      "acc": 1.44
    },
    "Blink": {
      "accuracy": 28.2,
      "Art Style": 46.15,
      "Counting": 44.17,
      "Forensic Detection": 15.91,
      "Functional Correspondence": 17.69,
      "IQ Test": 4.0,
      "Jigsaw": 24.0,
      "Multi-view Reasoning": 44.36,
      "Object Localization": 59.84,
      "Relative Depth": 37.9,
      "Relative Reflectance": 17.16,
      "Semantic Correspondence": 8.63,
      "Spatial Relation": 37.06,
      "Visual Correspondence": 13.95,
      "Visual Similarity": 38.52,
      "acc_stderr": 0,
      "acc": 28.2
    }
  }
}