| { | |
| "config_general": { | |
| "model_name": "Gemma-3-27b-it", | |
| "model_dtype": "float16", | |
| "model_size": 0 | |
| }, | |
| "results": { | |
| "CMMMU": { | |
| "艺术与设计": { | |
| "num": 88, | |
| "correct": 53, | |
| "accuracy": 60.23 | |
| }, | |
| "overall": { | |
| "num": 900, | |
| "correct": 374, | |
| "accuracy": 41.56 | |
| }, | |
| "商业": { | |
| "num": 126, | |
| "correct": 32, | |
| "accuracy": 25.4 | |
| }, | |
| "科学": { | |
| "num": 204, | |
| "correct": 81, | |
| "accuracy": 39.71 | |
| }, | |
| "健康与医学": { | |
| "num": 153, | |
| "correct": 72, | |
| "accuracy": 47.06 | |
| }, | |
| "人文社会科学": { | |
| "num": 85, | |
| "correct": 39, | |
| "accuracy": 45.88 | |
| }, | |
| "技术与工程": { | |
| "num": 244, | |
| "correct": 97, | |
| "accuracy": 39.75 | |
| }, | |
| "accuracy": 41.56, | |
| "acc_stderr": 0, | |
| "acc": 41.56 | |
| }, | |
| "MMMU": { | |
| "accuracy": 53.89, | |
| "subject_score": { | |
| "Accounting": 40.0, | |
| "Agriculture": 50.0, | |
| "Architecture": 53.33, | |
| "Art": 71.67, | |
| "Basic": 63.33, | |
| "Biology": 33.33, | |
| "Chemistry": 30.0, | |
| "Clinical": 60.0, | |
| "Computer": 46.67, | |
| "Design": 80.0, | |
| "Diagnostics": 40.0, | |
| "Economics": 70.0, | |
| "Electronics": 30.0, | |
| "Energy": 50.0, | |
| "Finance": 33.33, | |
| "Geography": 40.0, | |
| "History": 76.67, | |
| "Literature": 93.33, | |
| "Manage": 50.0, | |
| "Marketing": 53.33, | |
| "Materials": 46.67, | |
| "Math": 56.67, | |
| "Mechanical": 43.33, | |
| "Music": 33.33, | |
| "Pharmacy": 66.67, | |
| "Physics": 33.33, | |
| "Psychology": 73.33, | |
| "Public": 56.67, | |
| "Sociology": 70.0 | |
| }, | |
| "difficulty_score": { | |
| "Medium": 52.59, | |
| "Easy": 65.08, | |
| "Hard": 38.67 | |
| }, | |
| "acc_stderr": 0, | |
| "acc": 53.89 | |
| }, | |
| "MMMU_Pro_standard": { | |
| "accuracy": 36.07, | |
| "subject_score": { | |
| "History": 41.07, | |
| "Design": 56.67, | |
| "Literature": 63.46, | |
| "Sociology": 50.0, | |
| "Art": 60.38, | |
| "Agriculture": 33.33, | |
| "Pharmacy": 36.84, | |
| "Clinical_Medicine": 32.2, | |
| "Accounting": 25.86, | |
| "Public_Health": 18.97, | |
| "Physics": 31.67, | |
| "Energy_and_Power": 29.31, | |
| "Art_Theory": 67.27, | |
| "Psychology": 30.0, | |
| "Biology": 25.42, | |
| "Economics": 33.9, | |
| "Manage": 32.0, | |
| "Finance": 33.33, | |
| "Architecture_and_Engineering": 26.67, | |
| "Diagnostics_and_Laboratory_Medicine": 21.67, | |
| "Basic_Medical_Science": 40.38, | |
| "Mechanical_Engineering": 38.98, | |
| "Electronics": 45.0, | |
| "Computer_Science": 30.0, | |
| "Math": 41.67, | |
| "Music": 26.67, | |
| "Marketing": 35.59, | |
| "Materials": 18.33, | |
| "Chemistry": 33.33, | |
| "Geography": 30.77 | |
| }, | |
| "difficulty_score": { | |
| "Medium": 32.46, | |
| "Hard": 29.68, | |
| "Easy": 46.4 | |
| }, | |
| "acc_stderr": 0, | |
| "acc": 36.07 | |
| }, | |
| "MMMU_Pro_vision": { | |
| "accuracy": 27.98, | |
| "subject_score": { | |
| "Art": 28.3, | |
| "Sociology": 40.74, | |
| "Agriculture": 25.0, | |
| "Design": 40.0, | |
| "History": 32.14, | |
| "Literature": 61.54, | |
| "Finance": 36.67, | |
| "Pharmacy": 24.56, | |
| "Clinical_Medicine": 23.73, | |
| "Accounting": 34.48, | |
| "Physics": 28.33, | |
| "Public_Health": 29.31, | |
| "Energy_and_Power": 18.97, | |
| "Art_Theory": 34.55, | |
| "Psychology": 31.67, | |
| "Architecture_and_Engineering": 15.0, | |
| "Manage": 26.0, | |
| "Biology": 27.12, | |
| "Economics": 30.51, | |
| "Diagnostics_and_Laboratory_Medicine": 16.67, | |
| "Electronics": 16.67, | |
| "Mechanical_Engineering": 22.03, | |
| "Basic_Medical_Science": 28.85, | |
| "Computer_Science": 30.0, | |
| "Math": 25.0, | |
| "Music": 33.33, | |
| "Marketing": 28.81, | |
| "Materials": 15.0, | |
| "Chemistry": 20.0, | |
| "Geography": 19.23 | |
| }, | |
| "acc_stderr": 0, | |
| "acc": 27.98 | |
| }, | |
| "MmvetV2": { | |
| "reject_info": { | |
| "reject_rate": 0.19, | |
| "reject_number": 1, | |
| "total_question": 517 | |
| }, | |
| "accuracy": 66.2209, | |
| "capability_scores": { | |
| "math": 73.52941176470588, | |
| "ocr": 71.00961538461542, | |
| "spat": 61.167512690355316, | |
| "rec": 63.406326034063355, | |
| "know": 61.025641025641, | |
| "gen": 67.67272727272737, | |
| "seq": 61.999999999999986 | |
| }, | |
| "capability_detail_scores": { | |
| "math_ocr": 68.18181818181817, | |
| "math_spat_ocr": 90.0, | |
| "math_spat_rec_ocr": 50.0, | |
| "spat_rec": 55.714285714285715, | |
| "spat_ocr": 63.46153846153846, | |
| "spat_rec_ocr": 33.33333333333333, | |
| "spat_know_ocr": 87.5, | |
| "rec_ocr": 70.0, | |
| "spat_rec_know": 45.0, | |
| "ocr": 83.75, | |
| "rec": 72.37288135593221, | |
| "rec_know": 64.61538461538461, | |
| "gen_rec_know": 63.49999999999998, | |
| "gen_rec_know_ocr": 73.84615384615387, | |
| "gen_spat_rec_ocr": 73.25581395348838, | |
| "gen_spat_ocr": 85.00000000000001, | |
| "math_gen_ocr_seq_spat": 100.0, | |
| "math_ocr_seq_spat_rec": 0.0, | |
| "gen_spat_rec": 51.36363636363635, | |
| "math_spat_ocr_gen": 100.0, | |
| "spat_rec_seq": 28.57142857142857, | |
| "spat_rec_ocr_seq": 66.66666666666666, | |
| "gen_spat_rec_know": 56.66666666666668, | |
| "gen_rec": 73.5294117647059, | |
| "spat_rec_know_ocr": 0.0, | |
| "gen_know_ocr_spat_rec": 65.0, | |
| "math_rec_ocr": 100.0, | |
| "gen_rec_ocr": 72.0, | |
| "gen_rec_ocr_seq": 77.14285714285715, | |
| "gen_ocr": 73.84615384615384, | |
| "gen_rec_seq": 62.85714285714287, | |
| "rec_seq": 55.99999999999999, | |
| "gen_spat_rec_seq": 85.00000000000001, | |
| "rec_know_seq": 0.0, | |
| "gen_rec_know_seq": 45.0, | |
| "gen_ocr_seq_spat_rec": 53.333333333333336, | |
| "gen_know_ocr_seq_rec": 90.0, | |
| "math_rec_know": 0.0, | |
| "rec_ocr_seq": 100.0 | |
| }, | |
| "acc_stderr": 0, | |
| "acc": 66.2209 | |
| }, | |
| "MathVerse": { | |
| "Text Lite": { | |
| "accuracy": 34.9, | |
| "correct": 275, | |
| "total": 788 | |
| }, | |
| "Total": { | |
| "accuracy": 32.49, | |
| "correct": 1280, | |
| "total": 3940 | |
| }, | |
| "Vision Dominant": { | |
| "accuracy": 28.43, | |
| "correct": 224, | |
| "total": 788 | |
| }, | |
| "Vision Intensive": { | |
| "accuracy": 32.36, | |
| "correct": 255, | |
| "total": 788 | |
| }, | |
| "Text Dominant": { | |
| "accuracy": 43.15, | |
| "correct": 340, | |
| "total": 788 | |
| }, | |
| "Vision Only": { | |
| "accuracy": 23.6, | |
| "correct": 186, | |
| "total": 788 | |
| }, | |
| "accuracy": 32.49, | |
| "acc_stderr": 0, | |
| "acc": 32.49 | |
| }, | |
| "Ocrlite": { | |
| "final_score": [ | |
| 1129, | |
| 1644 | |
| ], | |
| "accuracy": 68.674, | |
| "Key Information Extraction-Bookshelf": [ | |
| 28, | |
| 51, | |
| 0.549, | |
| { | |
| "Default": [ | |
| 28, | |
| 51, | |
| 0.549 | |
| ] | |
| } | |
| ], | |
| "Scene Text-centric VQA-diet_constraints": [ | |
| 57, | |
| 90, | |
| 0.633, | |
| { | |
| "Default": [ | |
| 57, | |
| 90, | |
| 0.633 | |
| ] | |
| } | |
| ], | |
| "Doc-oriented VQA-Control": [ | |
| 104, | |
| 189, | |
| 0.55, | |
| { | |
| "Default": [ | |
| 104, | |
| 189, | |
| 0.55 | |
| ] | |
| } | |
| ], | |
| "Doc-oriented VQA": [ | |
| 139, | |
| 204, | |
| 0.681, | |
| { | |
| "Default": [ | |
| 139, | |
| 204, | |
| 0.681 | |
| ] | |
| } | |
| ], | |
| "Scene Text-centric VQA-Fake_logo": [ | |
| 54, | |
| 119, | |
| 0.454, | |
| { | |
| "Default": [ | |
| 54, | |
| 119, | |
| 0.454 | |
| ] | |
| } | |
| ], | |
| "Handwritten Mathematical Expression Recognition": [ | |
| 2, | |
| 100, | |
| 0.02, | |
| { | |
| "Default": [ | |
| 2, | |
| 100, | |
| 0.02 | |
| ] | |
| } | |
| ], | |
| "Key Information Extraction": [ | |
| 178, | |
| 209, | |
| 0.852, | |
| { | |
| "Default": [ | |
| 178, | |
| 209, | |
| 0.852 | |
| ] | |
| } | |
| ], | |
| "Scene Text-centric VQA-Control": [ | |
| 171, | |
| 200, | |
| 0.855, | |
| { | |
| "Default": [ | |
| 171, | |
| 200, | |
| 0.855 | |
| ] | |
| } | |
| ], | |
| "Scene Text-centric VQA": [ | |
| 229, | |
| 282, | |
| 0.812, | |
| { | |
| "Default": [ | |
| 229, | |
| 282, | |
| 0.812 | |
| ] | |
| } | |
| ], | |
| "Artistic Text Recognition": [ | |
| 40, | |
| 50, | |
| 0.8, | |
| { | |
| "Default": [ | |
| 40, | |
| 50, | |
| 0.8 | |
| ] | |
| } | |
| ], | |
| "Irregular Text Recognition": [ | |
| 40, | |
| 50, | |
| 0.8, | |
| { | |
| "Default": [ | |
| 40, | |
| 50, | |
| 0.8 | |
| ] | |
| } | |
| ], | |
| "Non-Semantic Text Recognition": [ | |
| 38, | |
| 50, | |
| 0.76, | |
| { | |
| "Default": [ | |
| 38, | |
| 50, | |
| 0.76 | |
| ] | |
| } | |
| ], | |
| "Regular Text Recognition": [ | |
| 49, | |
| 50, | |
| 0.98, | |
| { | |
| "Default": [ | |
| 49, | |
| 50, | |
| 0.98 | |
| ] | |
| } | |
| ], | |
| "acc_stderr": 0, | |
| "acc": 68.674 | |
| }, | |
| "OcrliteZh": { | |
| "final_score": [ | |
| 97, | |
| 234 | |
| ], | |
| "accuracy": 41.453, | |
| "Docvqa": [ | |
| 3, | |
| 10, | |
| 0.3, | |
| { | |
| "Default": [ | |
| 3, | |
| 10, | |
| 0.3 | |
| ] | |
| } | |
| ], | |
| "Chartqa-human": [ | |
| 5, | |
| 10, | |
| 0.5, | |
| { | |
| "Default": [ | |
| 5, | |
| 10, | |
| 0.5 | |
| ] | |
| } | |
| ], | |
| "Chartqa-au": [ | |
| 3, | |
| 10, | |
| 0.3, | |
| { | |
| "Default": [ | |
| 3, | |
| 10, | |
| 0.3 | |
| ] | |
| } | |
| ], | |
| "infographic": [ | |
| 4, | |
| 10, | |
| 0.4, | |
| { | |
| "Default": [ | |
| 4, | |
| 10, | |
| 0.4 | |
| ] | |
| } | |
| ], | |
| "Key Information Extraction": [ | |
| 29, | |
| 45, | |
| 0.644, | |
| { | |
| "Default": [ | |
| 29, | |
| 45, | |
| 0.644 | |
| ] | |
| } | |
| ], | |
| "Scene Text-centric VQA": [ | |
| 19, | |
| 40, | |
| 0.475, | |
| { | |
| "Default": [ | |
| 19, | |
| 40, | |
| 0.475 | |
| ] | |
| } | |
| ], | |
| "Artistic Text Recognition": [ | |
| 0, | |
| 11, | |
| 0.0, | |
| { | |
| "Default": [ | |
| 0, | |
| 11, | |
| 0.0 | |
| ] | |
| } | |
| ], | |
| "IrRegular Text Recognition": [ | |
| 2, | |
| 11, | |
| 0.182, | |
| { | |
| "Default": [ | |
| 2, | |
| 11, | |
| 0.182 | |
| ] | |
| } | |
| ], | |
| "Non-semantic Text Recognition": [ | |
| 4, | |
| 12, | |
| 0.333, | |
| { | |
| "Default": [ | |
| 4, | |
| 12, | |
| 0.333 | |
| ] | |
| } | |
| ], | |
| "Regular Text Recognition": [ | |
| 6, | |
| 11, | |
| 0.545, | |
| { | |
| "Default": [ | |
| 6, | |
| 11, | |
| 0.545 | |
| ] | |
| } | |
| ], | |
| "Handwriting_CN": [ | |
| 6, | |
| 20, | |
| 0.3, | |
| { | |
| "Default": [ | |
| 6, | |
| 20, | |
| 0.3 | |
| ] | |
| } | |
| ], | |
| "Chinese Unlimited": [ | |
| 16, | |
| 44, | |
| 0.364, | |
| { | |
| "Default": [ | |
| 16, | |
| 44, | |
| 0.364 | |
| ] | |
| } | |
| ], | |
| "acc_stderr": 0, | |
| "acc": 41.453 | |
| }, | |
| "CharXiv": { | |
| "descriptive": { | |
| "Overall Score": 64.35, | |
| "By Question": { | |
| "Q1": 57.79, | |
| "Q2": 74.78, | |
| "Q3": 63.95, | |
| "Q4": 75.1, | |
| "Q5": 69.46, | |
| "Q6": 60.64, | |
| "Q7": 47.86, | |
| "Q8": 68.3, | |
| "Q9": 65.17, | |
| "Q10": 60.96, | |
| "Q11": 57.71, | |
| "Q12": 57.69, | |
| "Q13": 64.84, | |
| "Q14": 63.12, | |
| "Q15": 67.09, | |
| "Q16": 61.11, | |
| "Q17": 39.73, | |
| "Q18": 86.64, | |
| "Q19": 86.15 | |
| }, | |
| "By Category": { | |
| "Information Extraction": 64.29, | |
| "Enumeration": 65.7, | |
| "Pattern Recognition": 73.58, | |
| "Counting": 63.61, | |
| "Compositionality": 39.73 | |
| }, | |
| "By Subplot": { | |
| "1 Subplot": 73.38, | |
| "2-4 Subplots": 63.82, | |
| "5+ Subplots": 50.42 | |
| }, | |
| "By Subject": { | |
| "Computer Science": 65.48, | |
| "Economics": 65.76, | |
| "Electrical Engineering and Systems Science": 70.38, | |
| "Mathematics": 65.93, | |
| "Physics": 58.86, | |
| "Quantitative Biology": 55.95, | |
| "Quantitative Finance": 66.38, | |
| "Statistics": 66.59 | |
| }, | |
| "By Year": { | |
| "2020": 66.5, | |
| "2021": 61.3, | |
| "2022": 64.45, | |
| "2023": 65.32 | |
| }, | |
| "N_valid": 4000, | |
| "N_invalid": 0, | |
| "Question Type": "Descriptive" | |
| }, | |
| "reasoning": { | |
| "Overall Score": 28.8, | |
| "By Answer Type": { | |
| "Text-in-Chart": 33.18, | |
| "Text-in-General": 33.33, | |
| "Number-in-Chart": 27.16, | |
| "Number-in-General": 20.09 | |
| }, | |
| "By Source": { | |
| "GPT-Sourced": 33.15, | |
| "GPT-Inspired": 25.46, | |
| "Completely Human": 28.67 | |
| }, | |
| "By Subject": { | |
| "Computer Science": 30.16, | |
| "Economics": 27.54, | |
| "Electrical Engineering and Systems Science": 27.73, | |
| "Mathematics": 34.07, | |
| "Physics": 29.92, | |
| "Quantitative Biology": 31.75, | |
| "Quantitative Finance": 20.69, | |
| "Statistics": 27.43 | |
| }, | |
| "By Year": { | |
| "2020": 21.46, | |
| "2021": 28.74, | |
| "2022": 32.38, | |
| "2023": 32.66 | |
| }, | |
| "By Subplot": { | |
| "1 Subplot": 30.57, | |
| "2-4 Subplots": 29.37, | |
| "5+ Subplots": 25.0 | |
| }, | |
| "N_valid": 1000, | |
| "N_invalid": 0, | |
| "Question Type": "Reasoning" | |
| }, | |
| "accuracy": 46.57, | |
| "acc_stderr": 0, | |
| "acc": 46.57 | |
| }, | |
| "MathVision": { | |
| "accuracy": 33.22, | |
| "acc_stderr": 0, | |
| "acc": 33.22 | |
| }, | |
| "CII-Bench": { | |
| "accuracy": 50.85, | |
| "domain_score": { | |
| "Art": 52.21, | |
| "Env.": 55.56, | |
| "Society": 50.27, | |
| "CTC": 45.19, | |
| "Life": 51.52, | |
| "Politics": 62.5 | |
| }, | |
| "emotion_score": { | |
| "Negative": 55.09, | |
| "Positive": 47.44, | |
| "Neutral": 49.62 | |
| }, | |
| "acc_stderr": 0, | |
| "acc": 50.85 | |
| }, | |
| "Blink": { | |
| "accuracy": 54.29, | |
| "Art Style": 70.94, | |
| "Counting": 55.83, | |
| "Forensic Detection": 37.12, | |
| "Functional Correspondence": 30.0, | |
| "IQ Test": 32.67, | |
| "Jigsaw": 75.33, | |
| "Multi-view Reasoning": 51.88, | |
| "Object Localization": 54.1, | |
| "Relative Depth": 66.94, | |
| "Relative Reflectance": 34.33, | |
| "Semantic Correspondence": 35.25, | |
| "Spatial Relation": 75.52, | |
| "Visual Correspondence": 57.56, | |
| "Visual Similarity": 82.96, | |
| "acc_stderr": 0, | |
| "acc": 54.29 | |
| } | |
| } | |
| } |