| { | |
| "config_general": { | |
| "model_name": "Phi-3.5-Vision-Instruct", | |
| "model_dtype": "float16", | |
| "model_size": 0 | |
| }, | |
| "results": { | |
| "CMMMU": { | |
| "accuracy": 28.44, | |
| "acc_stderr": 0, | |
| "acc": 28.44 | |
| }, | |
| "MMMU": { | |
| "accuracy": 44.0, | |
| "acc_stderr": 0, | |
| "acc": 44.0 | |
| }, | |
| "MMMU_Pro_standard": { | |
| "accuracy": 24.28, | |
| "acc_stderr": 0, | |
| "acc": 24.28 | |
| }, | |
| "MMMU_Pro_vision": { | |
| "accuracy": 12.43, | |
| "subject_score": { | |
| "History": 7.14, | |
| "Art": 16.98, | |
| "Design": 13.33, | |
| "Literature": 26.92, | |
| "Agriculture": 5.0, | |
| "Finance": 8.33, | |
| "Sociology": 12.96, | |
| "Accounting": 10.34, | |
| "Energy_and_Power": 6.9, | |
| "Pharmacy": 19.3, | |
| "Architecture_and_Engineering": 8.33, | |
| "Clinical_Medicine": 3.39, | |
| "Public_Health": 10.34, | |
| "Physics": 11.67, | |
| "Art_Theory": 1.82, | |
| "Electronics": 11.67, | |
| "Psychology": 13.33, | |
| "Biology": 15.25, | |
| "Manage": 22.0, | |
| "Economics": 10.17, | |
| "Mechanical_Engineering": 15.25, | |
| "Diagnostics_and_Laboratory_Medicine": 10.0, | |
| "Basic_Medical_Science": 26.92, | |
| "Computer_Science": 13.33, | |
| "Math": 10.0, | |
| "Music": 20.0, | |
| "Materials": 8.33, | |
| "Marketing": 10.17, | |
| "Chemistry": 18.33, | |
| "Geography": 9.62 | |
| }, | |
| "acc_stderr": 0, | |
| "acc": 12.43 | |
| }, | |
| "MmvetV2": { | |
| "accuracy": 42.5725, | |
| "capability_scores": { | |
| "math": 25.0, | |
| "ocr": 46.58653846153845, | |
| "spat": 41.87817258883246, | |
| "rec": 41.09223300970876, | |
| "know": 35.06410256410257, | |
| "gen": 40.36363636363635, | |
| "seq": 44.28571428571427 | |
| }, | |
| "capability_detail_scores": { | |
| "math_ocr": 18.181818181818183, | |
| "math_spat_ocr": 16.666666666666664, | |
| "rec_math_spat_ocr": 50.0, | |
| "rec_spat": 46.785714285714285, | |
| "spat_ocr": 63.07692307692307, | |
| "rec_spat_ocr": 16.666666666666664, | |
| "know_spat_ocr": 62.5, | |
| "rec_ocr": 60.0, | |
| "rec_know_spat": 40.0, | |
| "ocr": 59.06250000000001, | |
| "rec": 53.38983050847458, | |
| "rec_know": 24.615384615384613, | |
| "rec_gen_know": 32.30000000000001, | |
| "rec_gen_know_ocr": 55.38461538461538, | |
| "rec_gen_spat_ocr": 49.534883720930246, | |
| "gen_spat_ocr": 85.00000000000001, | |
| "seq_spat_math_gen_ocr": 20.0, | |
| "rec_seq_spat_math_ocr": 0.0, | |
| "rec_gen_spat": 26.818181818181813, | |
| "math_gen_spat_ocr": 80.0, | |
| "rec_seq_spat": 42.857142857142854, | |
| "rec_seq_spat_ocr": 36.66666666666667, | |
| "rec_gen_know_spat": 10.0, | |
| "rec_gen": 44.99999999999999, | |
| "rec_know_spat_ocr": 20.0, | |
| "rec_know_spat_gen_ocr": 50.0, | |
| "rec_know_gen": 32.30000000000001, | |
| "rec_math_ocr": 100.0, | |
| "rec_gen_ocr": 27.999999999999996, | |
| "rec_seq_gen_ocr": 65.71428571428572, | |
| "gen_ocr": 44.61538461538462, | |
| "rec_gen_seq": 42.14285714285714, | |
| "rec_seq": 45.0, | |
| "rec_gen_spat_seq": 50.0, | |
| "rec_know_seq": 0.0, | |
| "rec_gen_know_seq": 50.0, | |
| "rec_seq_gen_spat": 50.0, | |
| "rec_seq_spat_gen_ocr": 30.0, | |
| "rec_seq_know_gen_ocr": 70.0, | |
| "rec_math_know": 50.0, | |
| "rec_seq_ocr": 0.0 | |
| }, | |
| "acc_stderr": 0, | |
| "acc": 42.5725 | |
| }, | |
| "MathVerse": { | |
| "Text Dominant": { | |
| "accuracy": 25.76, | |
| "correct": 203, | |
| "total": 788 | |
| }, | |
| "Total": { | |
| "accuracy": 22.99, | |
| "correct": 906, | |
| "total": 3940 | |
| }, | |
| "Text Lite": { | |
| "accuracy": 23.6, | |
| "correct": 186, | |
| "total": 788 | |
| }, | |
| "Vision Intensive": { | |
| "accuracy": 23.48, | |
| "correct": 185, | |
| "total": 788 | |
| }, | |
| "Vision Dominant": { | |
| "accuracy": 23.98, | |
| "correct": 189, | |
| "total": 788 | |
| }, | |
| "Vision Only": { | |
| "accuracy": 18.15, | |
| "correct": 143, | |
| "total": 788 | |
| }, | |
| "accuracy": 22.99, | |
| "acc_stderr": 0, | |
| "acc": 22.99 | |
| }, | |
| "Ocrlite": { | |
| "final_score": [ | |
| 901, | |
| 1645 | |
| ], | |
| "accuracy": 54.772, | |
| "Key Information Extraction-Bookshelf": [ | |
| 8, | |
| 52 | |
| ], | |
| "Scene Text-centric VQA-diet_constraints": [ | |
| 37, | |
| 90 | |
| ], | |
| "Doc-oriented VQA-Control": [ | |
| 99, | |
| 189 | |
| ], | |
| "Doc-oriented VQA": [ | |
| 103, | |
| 204 | |
| ], | |
| "Scene Text-centric VQA-Fake_logo": [ | |
| 55, | |
| 119 | |
| ], | |
| "Handwritten Mathematical Expression Recognition": [ | |
| 8, | |
| 100 | |
| ], | |
| "Key Information Extraction": [ | |
| 135, | |
| 209 | |
| ], | |
| "Scene Text-centric VQA-Control": [ | |
| 155, | |
| 200 | |
| ], | |
| "Scene Text-centric VQA": [ | |
| 145, | |
| 282 | |
| ], | |
| "Artistic Text Recognition": [ | |
| 37, | |
| 50 | |
| ], | |
| "Irregular Text Recognition": [ | |
| 37, | |
| 50 | |
| ], | |
| "Non-Semantic Text Recognition": [ | |
| 35, | |
| 50 | |
| ], | |
| "Regular Text Recognition": [ | |
| 47, | |
| 50 | |
| ], | |
| "acc_stderr": 0, | |
| "acc": 54.772 | |
| }, | |
| "OcrliteZh": { | |
| "final_score": [ | |
| 30, | |
| 234 | |
| ], | |
| "accuracy": 12.821, | |
| "Docvqa": [ | |
| 1, | |
| 10 | |
| ], | |
| "Chartqa-human": [ | |
| 2, | |
| 10 | |
| ], | |
| "Chartqa-au": [ | |
| 0, | |
| 10 | |
| ], | |
| "infographic": [ | |
| 0, | |
| 10 | |
| ], | |
| "Key Information Extraction": [ | |
| 15, | |
| 45 | |
| ], | |
| "Scene Text-centric VQA": [ | |
| 5, | |
| 40 | |
| ], | |
| "Artistic Text Recognition": [ | |
| 0, | |
| 11 | |
| ], | |
| "IrRegular Text Recognition": [ | |
| 0, | |
| 11 | |
| ], | |
| "Non-semantic Text Recognition": [ | |
| 0, | |
| 12 | |
| ], | |
| "Regular Text Recognition": [ | |
| 0, | |
| 11 | |
| ], | |
| "Handwriting_CN": [ | |
| 3, | |
| 20 | |
| ], | |
| "Chinese Unlimited": [ | |
| 4, | |
| 44 | |
| ], | |
| "acc_stderr": 0, | |
| "acc": 12.821 | |
| }, | |
| "CharXiv": { | |
| "descriptive": { | |
| "Overall Score": 53.1, | |
| "By Question": { | |
| "Q1": 60.25, | |
| "Q2": 63.48, | |
| "Q3": 56.65, | |
| "Q4": 70.04, | |
| "Q5": 70.29, | |
| "Q6": 58.63, | |
| "Q7": 59.83, | |
| "Q8": 66.96, | |
| "Q9": 47.76, | |
| "Q10": 54.11, | |
| "Q11": 51.43, | |
| "Q12": 45.05, | |
| "Q13": 54.34, | |
| "Q14": 29.43, | |
| "Q15": 38.66, | |
| "Q16": 61.11, | |
| "Q17": 8.04, | |
| "Q18": 61.54, | |
| "Q19": 81.54 | |
| }, | |
| "By Category": { | |
| "Information Extraction": 62.81, | |
| "Enumeration": 45.92, | |
| "Pattern Recognition": 57.64, | |
| "Counting": 54.45, | |
| "Compositionality": 8.04 | |
| }, | |
| "By Subplot": { | |
| "1 Subplot": 63.54, | |
| "2-4 Subplots": 50.33, | |
| "5+ Subplots": 40.47 | |
| }, | |
| "By Subject": { | |
| "Computer Science": 52.38, | |
| "Economics": 54.53, | |
| "Electrical Engineering and Systems Science": 57.77, | |
| "Mathematics": 55.56, | |
| "Physics": 50.98, | |
| "Quantitative Biology": 47.42, | |
| "Quantitative Finance": 53.88, | |
| "Statistics": 52.21 | |
| }, | |
| "By Year": { | |
| "2020": 55.97, | |
| "2021": 50.67, | |
| "2022": 53.18, | |
| "2023": 52.72 | |
| }, | |
| "N_valid": 4000, | |
| "N_invalid": 0, | |
| "Question Type": "Descriptive" | |
| }, | |
| "reasoning": { | |
| "Overall Score": 23.2, | |
| "By Answer Type": { | |
| "Text-in-Chart": 23.64, | |
| "Text-in-General": 30.3, | |
| "Number-in-Chart": 26.72, | |
| "Number-in-General": 15.72 | |
| }, | |
| "By Source": { | |
| "GPT-Sourced": 27.72, | |
| "GPT-Inspired": 19.44, | |
| "Completely Human": 23.17 | |
| }, | |
| "By Subject": { | |
| "Computer Science": 19.05, | |
| "Economics": 21.74, | |
| "Electrical Engineering and Systems Science": 20.17, | |
| "Mathematics": 23.7, | |
| "Physics": 31.5, | |
| "Quantitative Biology": 21.43, | |
| "Quantitative Finance": 18.97, | |
| "Statistics": 29.2 | |
| }, | |
| "By Year": { | |
| "2020": 22.27, | |
| "2021": 24.9, | |
| "2022": 21.72, | |
| "2023": 23.79 | |
| }, | |
| "By Subplot": { | |
| "1 Subplot": 26.17, | |
| "2-4 Subplots": 23.81, | |
| "5+ Subplots": 17.37 | |
| }, | |
| "N_valid": 1000, | |
| "N_invalid": 3, | |
| "Question Type": "Reasoning" | |
| }, | |
| "accuracy": 38.15, | |
| "acc_stderr": 0, | |
| "acc": 38.15 | |
| }, | |
| "MathVision": { | |
| "accuracy": 14.64, | |
| "acc_stderr": 0, | |
| "acc": 14.64 | |
| }, | |
| "CII-Bench": { | |
| "accuracy": 36.08, | |
| "domain_score": { | |
| "Life": 32.03, | |
| "Art": 39.71, | |
| "CTC": 36.3, | |
| "Society": 33.51, | |
| "Env.": 46.3, | |
| "Politics": 50.0 | |
| }, | |
| "emotion_score": { | |
| "Neutral": 39.47, | |
| "Negative": 36.23, | |
| "Positive": 32.05 | |
| }, | |
| "acc_stderr": 0, | |
| "acc": 36.08 | |
| }, | |
| "Blink": { | |
| "accuracy": 57.39, | |
| "Art Style": 88.89, | |
| "Counting": 53.33, | |
| "Forensic Detection": 92.42, | |
| "Functional Correspondence": 33.08, | |
| "IQ Test": 26.0, | |
| "Jigsaw": 71.33, | |
| "Multi-view Reasoning": 45.86, | |
| "Object Localization": 45.9, | |
| "Relative Depth": 70.16, | |
| "Relative Reflectance": 38.06, | |
| "Semantic Correspondence": 39.57, | |
| "Spatial Relation": 65.03, | |
| "Visual Correspondence": 55.23, | |
| "Visual Similarity": 84.44, | |
| "acc_stderr": 0, | |
| "acc": 57.39 | |
| } | |
| } | |
| } |