| { | |
| "config_general": { | |
| "model_name": "Idefics3-8B-Llama3", | |
| "model_dtype": "float16", | |
| "model_size": 0 | |
| }, | |
| "results": { | |
| "CMMMU": { | |
| "accuracy": 33.89, | |
| "acc_stderr": 0, | |
| "acc": 33.89 | |
| }, | |
| "MMMU": { | |
| "accuracy": 42.22, | |
| "acc_stderr": 0, | |
| "acc": 42.22 | |
| }, | |
| "MMMU_Pro_standard": { | |
| "accuracy": 27.86, | |
| "acc_stderr": 0, | |
| "acc": 27.86 | |
| }, | |
| "MMMU_Pro_vision": { | |
| "accuracy": 8.55, | |
| "subject_score": { | |
| "History": 12.5, | |
| "Art": 7.55, | |
| "Design": 6.67, | |
| "Literature": 17.31, | |
| "Agriculture": 3.33, | |
| "Finance": 5.0, | |
| "Sociology": 7.41, | |
| "Accounting": 5.17, | |
| "Energy_and_Power": 8.62, | |
| "Pharmacy": 12.28, | |
| "Architecture_and_Engineering": 13.33, | |
| "Clinical_Medicine": 8.47, | |
| "Public_Health": 1.72, | |
| "Physics": 20.0, | |
| "Art_Theory": 1.82, | |
| "Electronics": 8.33, | |
| "Psychology": 5.0, | |
| "Biology": 10.17, | |
| "Manage": 16.0, | |
| "Economics": 5.08, | |
| "Mechanical_Engineering": 16.95, | |
| "Diagnostics_and_Laboratory_Medicine": 5.0, | |
| "Basic_Medical_Science": 9.62, | |
| "Computer_Science": 6.67, | |
| "Math": 10.0, | |
| "Music": 6.67, | |
| "Materials": 10.0, | |
| "Marketing": 6.78, | |
| "Chemistry": 6.67, | |
| "Geography": 3.85 | |
| }, | |
| "acc_stderr": 0, | |
| "acc": 8.55 | |
| }, | |
| "MmvetV2": { | |
| "accuracy": 36.6344, | |
| "capability_scores": { | |
| "math": 16.176470588235293, | |
| "ocr": 38.028846153846146, | |
| "spat": 39.54314720812184, | |
| "rec": 36.62621359223302, | |
| "know": 28.52564102564103, | |
| "gen": 35.27272727272727, | |
| "seq": 30.357142857142865 | |
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| "capability_detail_scores": { | |
| "math_ocr": 0.0, | |
| "math_spat_ocr": 26.666666666666668, | |
| "math_spat_rec_ocr": 25.0, | |
| "spat_rec": 52.85714285714286, | |
| "spat_ocr": 55.38461538461539, | |
| "spat_rec_ocr": 30.83333333333333, | |
| "spat_know_ocr": 75.0, | |
| "rec_ocr": 75.0, | |
| "spat_rec_know": 30.0, | |
| "ocr": 37.5, | |
| "rec": 48.30508474576271, | |
| "rec_know": 7.6923076923076925, | |
| "gen_rec_know": 28.700000000000003, | |
| "gen_know_rec_ocr": 40.76923076923077, | |
| "spat_gen_rec_ocr": 45.58139534883721, | |
| "spat_gen_ocr": 64.99999999999999, | |
| "math_spat_gen_seq_ocr": 50.0, | |
| "math_spat_rec_seq_ocr": 0.0, | |
| "spat_gen_rec": 23.636363636363637, | |
| "math_spat_gen_ocr": 50.0, | |
| "spat_seq_rec": 7.142857142857142, | |
| "spat_seq_rec_ocr": 0.0, | |
| "spat_gen_rec_know": 13.333333333333334, | |
| "gen_rec": 50.882352941176464, | |
| "spat_know_rec_ocr": 25.0, | |
| "gen_rec_know_ocr": 40.76923076923077, | |
| "spat_know_gen_rec_ocr": 50.0, | |
| "math_rec_ocr": 0.0, | |
| "gen_rec_ocr": 27.999999999999996, | |
| "seq_gen_rec_ocr": 42.857142857142854, | |
| "gen_ocr": 21.538461538461537, | |
| "seq_gen_rec": 31.428571428571423, | |
| "seq_rec": 33.33333333333333, | |
| "seq_gen_rec_spat": 51.24999999999999, | |
| "seq_rec_know": 0.0, | |
| "gen_seq_rec": 31.428571428571423, | |
| "seq_gen_rec_know": 20.0, | |
| "spat_gen_rec_seq": 51.24999999999999, | |
| "spat_gen_rec_seq_ocr": 13.333333333333334, | |
| "know_gen_rec_seq_ocr": 35.0, | |
| "math_rec_know": 0.0, | |
| "seq_rec_ocr": 100.0 | |
| }, | |
| "acc_stderr": 0, | |
| "acc": 36.6344 | |
| }, | |
| "MathVerse": { | |
| "Text Dominant": { | |
| "accuracy": 24.87, | |
| "correct": 196, | |
| "total": 788 | |
| }, | |
| "Total": { | |
| "accuracy": 21.32, | |
| "correct": 840, | |
| "total": 3940 | |
| }, | |
| "Text Lite": { | |
| "accuracy": 21.95, | |
| "correct": 173, | |
| "total": 788 | |
| }, | |
| "Vision Intensive": { | |
| "accuracy": 21.83, | |
| "correct": 172, | |
| "total": 788 | |
| }, | |
| "Vision Dominant": { | |
| "accuracy": 22.21, | |
| "correct": 175, | |
| "total": 788 | |
| }, | |
| "Vision Only": { | |
| "accuracy": 15.74, | |
| "correct": 124, | |
| "total": 788 | |
| }, | |
| "accuracy": 21.32, | |
| "acc_stderr": 0, | |
| "acc": 21.32 | |
| }, | |
| "Ocrlite": { | |
| "final_score": [ | |
| 820, | |
| 1645 | |
| ], | |
| "accuracy": 49.848, | |
| "Key Information Extraction-Bookshelf": [ | |
| 11, | |
| 52 | |
| ], | |
| "Scene Text-centric VQA-diet_constraints": [ | |
| 30, | |
| 90 | |
| ], | |
| "Doc-oriented VQA-Control": [ | |
| 110, | |
| 189 | |
| ], | |
| "Doc-oriented VQA": [ | |
| 125, | |
| 204 | |
| ], | |
| "Scene Text-centric VQA-Fake_logo": [ | |
| 29, | |
| 119 | |
| ], | |
| "Handwritten Mathematical Expression Recognition": [ | |
| 4, | |
| 100 | |
| ], | |
| "Key Information Extraction": [ | |
| 163, | |
| 209 | |
| ], | |
| "Scene Text-centric VQA-Control": [ | |
| 141, | |
| 200 | |
| ], | |
| "Scene Text-centric VQA": [ | |
| 170, | |
| 282 | |
| ], | |
| "Artistic Text Recognition": [ | |
| 10, | |
| 50 | |
| ], | |
| "Irregular Text Recognition": [ | |
| 5, | |
| 50 | |
| ], | |
| "Non-Semantic Text Recognition": [ | |
| 3, | |
| 50 | |
| ], | |
| "Regular Text Recognition": [ | |
| 19, | |
| 50 | |
| ], | |
| "acc_stderr": 0, | |
| "acc": 49.848 | |
| }, | |
| "OcrliteZh": { | |
| "final_score": [ | |
| 30, | |
| 234 | |
| ], | |
| "accuracy": 12.821, | |
| "Docvqa": [ | |
| 2, | |
| 10 | |
| ], | |
| "Chartqa-human": [ | |
| 2, | |
| 10 | |
| ], | |
| "Chartqa-au": [ | |
| 0, | |
| 10 | |
| ], | |
| "infographic": [ | |
| 1, | |
| 10 | |
| ], | |
| "Key Information Extraction": [ | |
| 12, | |
| 45 | |
| ], | |
| "Scene Text-centric VQA": [ | |
| 7, | |
| 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": [ | |
| 5, | |
| 44 | |
| ], | |
| "acc_stderr": 0, | |
| "acc": 12.821 | |
| }, | |
| "CharXiv": { | |
| "descriptive": { | |
| "Overall Score": 44.55, | |
| "By Question": { | |
| "Q1": 45.9, | |
| "Q2": 54.78, | |
| "Q3": 38.63, | |
| "Q4": 61.87, | |
| "Q5": 64.85, | |
| "Q6": 47.79, | |
| "Q7": 55.56, | |
| "Q8": 60.27, | |
| "Q9": 46.77, | |
| "Q10": 47.95, | |
| "Q11": 38.29, | |
| "Q12": 45.05, | |
| "Q13": 44.29, | |
| "Q14": 19.86, | |
| "Q15": 23.32, | |
| "Q16": 58.33, | |
| "Q17": 9.38, | |
| "Q18": 53.04, | |
| "Q19": 67.69 | |
| }, | |
| "By Category": { | |
| "Information Extraction": 52.85, | |
| "Enumeration": 36.72, | |
| "Pattern Recognition": 47.82, | |
| "Counting": 49.87, | |
| "Compositionality": 9.38 | |
| }, | |
| "By Subplot": { | |
| "1 Subplot": 52.85, | |
| "2-4 Subplots": 40.41, | |
| "5+ Subplots": 37.61 | |
| }, | |
| "By Subject": { | |
| "Computer Science": 42.66, | |
| "Economics": 46.2, | |
| "Electrical Engineering and Systems Science": 50.42, | |
| "Mathematics": 48.33, | |
| "Physics": 36.81, | |
| "Quantitative Biology": 41.07, | |
| "Quantitative Finance": 46.12, | |
| "Statistics": 44.91 | |
| }, | |
| "By Year": { | |
| "2020": 44.23, | |
| "2021": 43.97, | |
| "2022": 42.83, | |
| "2023": 47.18 | |
| }, | |
| "N_valid": 4000, | |
| "N_invalid": 0, | |
| "Question Type": "Descriptive" | |
| }, | |
| "reasoning": { | |
| "Overall Score": 24.7, | |
| "By Answer Type": { | |
| "Text-in-Chart": 24.32, | |
| "Text-in-General": 31.31, | |
| "Number-in-Chart": 27.16, | |
| "Number-in-General": 20.09 | |
| }, | |
| "By Source": { | |
| "GPT-Sourced": 25.54, | |
| "GPT-Inspired": 25.0, | |
| "Completely Human": 24.33 | |
| }, | |
| "By Subject": { | |
| "Computer Science": 23.02, | |
| "Economics": 25.36, | |
| "Electrical Engineering and Systems Science": 21.01, | |
| "Mathematics": 25.19, | |
| "Physics": 28.35, | |
| "Quantitative Biology": 23.81, | |
| "Quantitative Finance": 22.41, | |
| "Statistics": 28.32 | |
| }, | |
| "By Year": { | |
| "2020": 25.91, | |
| "2021": 25.67, | |
| "2022": 17.62, | |
| "2023": 29.44 | |
| }, | |
| "By Subplot": { | |
| "1 Subplot": 23.58, | |
| "2-4 Subplots": 29.37, | |
| "5+ Subplots": 19.07 | |
| }, | |
| "N_valid": 1000, | |
| "N_invalid": 1, | |
| "Question Type": "Reasoning" | |
| }, | |
| "accuracy": 34.62, | |
| "acc_stderr": 0, | |
| "acc": 34.62 | |
| }, | |
| "MathVision": { | |
| "accuracy": 16.22, | |
| "acc_stderr": 0, | |
| "acc": 16.22 | |
| }, | |
| "CII-Bench": { | |
| "accuracy": 39.22, | |
| "domain_score": { | |
| "Life": 35.93, | |
| "Art": 41.18, | |
| "CTC": 35.56, | |
| "Society": 39.46, | |
| "Env.": 53.7, | |
| "Politics": 45.83 | |
| }, | |
| "emotion_score": { | |
| "Neutral": 38.72, | |
| "Negative": 41.89, | |
| "Positive": 36.75 | |
| }, | |
| "acc_stderr": 0, | |
| "acc": 39.22 | |
| }, | |
| "Blink": { | |
| "accuracy": 48.13, | |
| "Art Style": 64.96, | |
| "Counting": 61.67, | |
| "Forensic Detection": 28.79, | |
| "Functional Correspondence": 25.38, | |
| "IQ Test": 28.0, | |
| "Jigsaw": 47.33, | |
| "Multi-view Reasoning": 43.61, | |
| "Object Localization": 56.56, | |
| "Relative Depth": 57.26, | |
| "Relative Reflectance": 38.06, | |
| "Semantic Correspondence": 33.81, | |
| "Spatial Relation": 79.72, | |
| "Visual Correspondence": 42.44, | |
| "Visual Similarity": 72.59, | |
| "acc_stderr": 0, | |
| "acc": 48.13 | |
| } | |
| } | |
| } |