| { | |
| "config_general": { | |
| "model_name": "LLaVA-Onevision-72B", | |
| "model_dtype": "float16", | |
| "model_size": 0 | |
| }, | |
| "results": { | |
| "CMMMU": { | |
| "艺术与设计": { | |
| "num": 88, | |
| "correct": 66, | |
| "accuracy": 75.0 | |
| }, | |
| "overall": { | |
| "num": 900, | |
| "correct": 430, | |
| "accuracy": 47.78 | |
| }, | |
| "商业": { | |
| "num": 126, | |
| "correct": 35, | |
| "accuracy": 27.78 | |
| }, | |
| "科学": { | |
| "num": 204, | |
| "correct": 80, | |
| "accuracy": 39.22 | |
| }, | |
| "健康与医学": { | |
| "num": 153, | |
| "correct": 86, | |
| "accuracy": 56.21 | |
| }, | |
| "人文社会科学": { | |
| "num": 85, | |
| "correct": 50, | |
| "accuracy": 58.82 | |
| }, | |
| "技术与工程": { | |
| "num": 244, | |
| "correct": 113, | |
| "accuracy": 46.31 | |
| }, | |
| "accuracy": 47.78, | |
| "acc_stderr": 0, | |
| "acc": 47.78 | |
| }, | |
| "MMMU": { | |
| "accuracy": 56.0, | |
| "acc_stderr": 0, | |
| "acc": 56.0 | |
| }, | |
| "MMMU_Pro_standard": { | |
| "reject_info": { | |
| "reject_rate": 0.12, | |
| "reject_number": 2, | |
| "total_question": 1730 | |
| }, | |
| "accuracy": 37.21, | |
| "acc_stderr": 0, | |
| "acc": 37.21 | |
| }, | |
| "MMMU_Pro_vision": { | |
| "reject_info": { | |
| "reject_rate": 0.12, | |
| "reject_number": 2, | |
| "total_question": 1730 | |
| }, | |
| "accuracy": 23.9, | |
| "subject_score": { | |
| "History": 26.79, | |
| "Literature": 55.77, | |
| "Sociology": 35.19, | |
| "Art": 28.3, | |
| "Agriculture": 16.67, | |
| "Design": 35.0, | |
| "Pharmacy": 38.6, | |
| "Energy_and_Power": 15.52, | |
| "Architecture_and_Engineering": 11.67, | |
| "Art_Theory": 38.18, | |
| "Electronics": 23.33, | |
| "Accounting": 21.43, | |
| "Psychology": 16.67, | |
| "Biology": 16.95, | |
| "Manage": 20.0, | |
| "Public_Health": 17.24, | |
| "Economics": 28.81, | |
| "Diagnostics_and_Laboratory_Medicine": 11.67, | |
| "Clinical_Medicine": 18.64, | |
| "Physics": 18.33, | |
| "Mechanical_Engineering": 25.42, | |
| "Finance": 26.67, | |
| "Computer_Science": 30.0, | |
| "Math": 20.0, | |
| "Basic_Medical_Science": 17.31, | |
| "Marketing": 22.03, | |
| "Music": 25.0, | |
| "Materials": 21.67, | |
| "Chemistry": 16.67, | |
| "Geography": 23.08 | |
| }, | |
| "acc_stderr": 0, | |
| "acc": 23.9 | |
| }, | |
| "MmvetV2": { | |
| "reject_info": { | |
| "reject_rate": 0.19, | |
| "reject_number": 1, | |
| "total_question": 517 | |
| }, | |
| "accuracy": 58.9147, | |
| "capability_scores": { | |
| "math": 61.1764705882353, | |
| "ocr": 62.06730769230771, | |
| "spat": 55.025380710659874, | |
| "rec": 56.64233576642339, | |
| "know": 57.179487179487154, | |
| "gen": 59.34306569343065, | |
| "seq": 48.545454545454554 | |
| }, | |
| "capability_detail_scores": { | |
| "math_ocr": 78.18181818181817, | |
| "spat_math_ocr": 56.666666666666664, | |
| "spat_math_ocr_rec": 40.0, | |
| "spat_rec": 63.57142857142858, | |
| "spat_ocr": 61.92307692307693, | |
| "spat_ocr_rec": 23.333333333333332, | |
| "spat_know_ocr": 75.0, | |
| "ocr_rec": 82.5, | |
| "spat_know_rec": 50.0, | |
| "ocr": 75.62500000000001, | |
| "rec": 57.28813559322033, | |
| "know_rec": 70.76923076923076, | |
| "know_gen_rec": 58.19999999999995, | |
| "know_ocr_gen_rec": 67.6923076923077, | |
| "spat_ocr_gen_rec": 62.7906976744186, | |
| "spat_ocr_gen": 80.0, | |
| "spat_math_ocr_gen_seq": 100.0, | |
| "spat_math_ocr_rec_seq": 0.0, | |
| "spat_gen_rec": 50.90909090909093, | |
| "spat_math_ocr_gen": 40.0, | |
| "spat_seq_rec": 28.57142857142857, | |
| "spat_ocr_rec_seq": 40.0, | |
| "spat_know_gen_rec": 36.66666666666667, | |
| "gen_rec": 64.70588235294117, | |
| "spat_know_ocr_rec": 0.0, | |
| "know_spat_ocr_gen_rec": 75.0, | |
| "math_ocr_rec": 50.0, | |
| "ocr_gen_rec": 61.999999999999986, | |
| "ocr_gen_rec_seq": 72.85714285714285, | |
| "ocr_gen": 60.0, | |
| "seq_gen_rec": 38.46153846153847, | |
| "seq_rec": 60.0, | |
| "spat_seq_gen_rec": 62.499999999999986, | |
| "know_seq_rec": 0.0, | |
| "know_seq_gen_rec": 0.0, | |
| "spat_ocr_gen_rec_seq": 80.0, | |
| "know_ocr_gen_rec_seq": 70.0, | |
| "know_math_rec": 50.0, | |
| "ocr_rec_seq": 0.0 | |
| }, | |
| "acc_stderr": 0, | |
| "acc": 58.9147 | |
| }, | |
| "MathVerse": { | |
| "reject_info": { | |
| "reject_rate": 0.03, | |
| "reject_number": 1, | |
| "total_question": 3940 | |
| }, | |
| "Vision Intensive": { | |
| "accuracy": 42.13, | |
| "correct": 332, | |
| "total": 788 | |
| }, | |
| "Total": { | |
| "accuracy": 40.7, | |
| "correct": 1603, | |
| "total": 3939 | |
| }, | |
| "Text Lite": { | |
| "accuracy": 43.15, | |
| "correct": 340, | |
| "total": 788 | |
| }, | |
| "Vision Dominant": { | |
| "accuracy": 42.39, | |
| "correct": 334, | |
| "total": 788 | |
| }, | |
| "Text Dominant": { | |
| "accuracy": 47.59, | |
| "correct": 375, | |
| "total": 788 | |
| }, | |
| "Vision Only": { | |
| "accuracy": 28.21, | |
| "correct": 222, | |
| "total": 787 | |
| }, | |
| "accuracy": 40.7, | |
| "acc_stderr": 0, | |
| "acc": 40.7 | |
| }, | |
| "Ocrlite": { | |
| "reject_info": { | |
| "reject_rate": 0.06, | |
| "reject_number": 1, | |
| "total_question": 1645 | |
| }, | |
| "final_score": [ | |
| 1128, | |
| 1644 | |
| ], | |
| "accuracy": 68.613, | |
| "Key Information Extraction-Bookshelf": [ | |
| 20, | |
| 52 | |
| ], | |
| "Scene Text-centric VQA-diet_constraints": [ | |
| 62, | |
| 89 | |
| ], | |
| "Doc-oriented VQA-Control": [ | |
| 114, | |
| 189 | |
| ], | |
| "Doc-oriented VQA": [ | |
| 142, | |
| 204 | |
| ], | |
| "Scene Text-centric VQA-Fake_logo": [ | |
| 39, | |
| 119 | |
| ], | |
| "Handwritten Mathematical Expression Recognition": [ | |
| 47, | |
| 100 | |
| ], | |
| "Key Information Extraction": [ | |
| 162, | |
| 209 | |
| ], | |
| "Scene Text-centric VQA-Control": [ | |
| 159, | |
| 200 | |
| ], | |
| "Scene Text-centric VQA": [ | |
| 231, | |
| 282 | |
| ], | |
| "Artistic Text Recognition": [ | |
| 41, | |
| 50 | |
| ], | |
| "Irregular Text Recognition": [ | |
| 37, | |
| 50 | |
| ], | |
| "Non-Semantic Text Recognition": [ | |
| 27, | |
| 50 | |
| ], | |
| "Regular Text Recognition": [ | |
| 47, | |
| 50 | |
| ], | |
| "acc_stderr": 0, | |
| "acc": 68.613 | |
| }, | |
| "OcrliteZh": { | |
| "final_score": [ | |
| 71, | |
| 234 | |
| ], | |
| "accuracy": 30.342, | |
| "Docvqa": [ | |
| 2, | |
| 10 | |
| ], | |
| "Chartqa-human": [ | |
| 2, | |
| 10 | |
| ], | |
| "Chartqa-au": [ | |
| 2, | |
| 10 | |
| ], | |
| "infographic": [ | |
| 1, | |
| 10 | |
| ], | |
| "Key Information Extraction": [ | |
| 25, | |
| 45 | |
| ], | |
| "Scene Text-centric VQA": [ | |
| 17, | |
| 40 | |
| ], | |
| "Artistic Text Recognition": [ | |
| 0, | |
| 11 | |
| ], | |
| "IrRegular Text Recognition": [ | |
| 0, | |
| 11 | |
| ], | |
| "Non-semantic Text Recognition": [ | |
| 2, | |
| 12 | |
| ], | |
| "Regular Text Recognition": [ | |
| 2, | |
| 11 | |
| ], | |
| "Handwriting_CN": [ | |
| 5, | |
| 20 | |
| ], | |
| "Chinese Unlimited": [ | |
| 13, | |
| 44 | |
| ], | |
| "acc_stderr": 0, | |
| "acc": 30.342 | |
| }, | |
| "CharXiv": { | |
| "reject_info": { | |
| "reject_rate": 0.02, | |
| "reject_number": 1, | |
| "total_question": 5000 | |
| }, | |
| "descriptive": { | |
| "Overall Score": 70.97, | |
| "By Question": { | |
| "Q1": 79.51, | |
| "Q2": 73.48, | |
| "Q3": 56.65, | |
| "Q4": 82.49, | |
| "Q5": 79.08, | |
| "Q6": 65.06, | |
| "Q7": 68.38, | |
| "Q8": 70.98, | |
| "Q9": 67.66, | |
| "Q10": 76.03, | |
| "Q11": 64.0, | |
| "Q12": 70.33, | |
| "Q13": 63.01, | |
| "Q14": 86.17, | |
| "Q15": 89.42, | |
| "Q16": 80.56, | |
| "Q17": 10.71, | |
| "Q18": 82.59, | |
| "Q19": 87.69 | |
| }, | |
| "By Category": { | |
| "Information Extraction": 72.24, | |
| "Enumeration": 77.14, | |
| "Pattern Recognition": 75.33, | |
| "Counting": 75.32, | |
| "Compositionality": 10.71 | |
| }, | |
| "By Subplot": { | |
| "1 Subplot": 76.42, | |
| "2-4 Subplots": 71.54, | |
| "5+ Subplots": 61.12 | |
| }, | |
| "By Subject": { | |
| "Computer Science": 70.44, | |
| "Economics": 72.1, | |
| "Electrical Engineering and Systems Science": 76.05, | |
| "Mathematics": 73.52, | |
| "Physics": 66.47, | |
| "Quantitative Biology": 65.67, | |
| "Quantitative Finance": 71.98, | |
| "Statistics": 71.68 | |
| }, | |
| "By Year": { | |
| "2020": 72.47, | |
| "2021": 68.3, | |
| "2022": 71.9, | |
| "2023": 71.37 | |
| }, | |
| "N_valid": 3999, | |
| "N_invalid": 0, | |
| "Question Type": "Descriptive" | |
| }, | |
| "reasoning": { | |
| "Overall Score": 33.2, | |
| "By Answer Type": { | |
| "Text-in-Chart": 37.73, | |
| "Text-in-General": 41.41, | |
| "Number-in-Chart": 30.6, | |
| "Number-in-General": 23.58 | |
| }, | |
| "By Source": { | |
| "GPT-Sourced": 39.67, | |
| "GPT-Inspired": 30.09, | |
| "Completely Human": 32.33 | |
| }, | |
| "By Subject": { | |
| "Computer Science": 29.37, | |
| "Economics": 34.06, | |
| "Electrical Engineering and Systems Science": 36.97, | |
| "Mathematics": 36.3, | |
| "Physics": 33.86, | |
| "Quantitative Biology": 31.75, | |
| "Quantitative Finance": 31.03, | |
| "Statistics": 31.86 | |
| }, | |
| "By Year": { | |
| "2020": 35.22, | |
| "2021": 35.63, | |
| "2022": 30.33, | |
| "2023": 31.45 | |
| }, | |
| "By Subplot": { | |
| "1 Subplot": 33.94, | |
| "2-4 Subplots": 34.39, | |
| "5+ Subplots": 30.08 | |
| }, | |
| "N_valid": 1000, | |
| "N_invalid": 2, | |
| "Question Type": "Reasoning" | |
| }, | |
| "accuracy": 52.09, | |
| "acc_stderr": 0, | |
| "acc": 52.09 | |
| }, | |
| "MathVision": { | |
| "accuracy": 25.03, | |
| "acc_stderr": 0, | |
| "acc": 25.03 | |
| }, | |
| "CII-Bench": { | |
| "accuracy": 57.78, | |
| "domain_score": { | |
| "CTC": 53.33, | |
| "Society": 59.46, | |
| "Art": 60.29, | |
| "Env.": 68.52, | |
| "Life": 54.11, | |
| "Politics": 66.67 | |
| }, | |
| "emotion_score": { | |
| "Positive": 55.13, | |
| "Negative": 61.13, | |
| "Neutral": 56.77 | |
| }, | |
| "acc_stderr": 0, | |
| "acc": 57.78 | |
| }, | |
| "Blink": { | |
| "reject_info": { | |
| "reject_rate": 0.05, | |
| "reject_number": 1, | |
| "total_question": 1901 | |
| }, | |
| "accuracy": 56.95, | |
| "Art Style": 75.0, | |
| "Counting": 73.33, | |
| "Forensic Detection": 43.94, | |
| "Functional Correspondence": 31.54, | |
| "IQ Test": 20.67, | |
| "Jigsaw": 70.0, | |
| "Multi-view Reasoning": 38.35, | |
| "Object Localization": 63.11, | |
| "Relative Depth": 76.61, | |
| "Relative Reflectance": 38.81, | |
| "Semantic Correspondence": 43.17, | |
| "Spatial Relation": 84.62, | |
| "Visual Correspondence": 59.3, | |
| "Visual Similarity": 84.44, | |
| "acc_stderr": 0, | |
| "acc": 56.95 | |
| } | |
| } | |
| } |