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vlm_results / Qwen2.5-VL-32B-Instruct /results_2025-01-25T10-42-53.190540.json
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 {
"config_general": {
"model_name": "Qwen2.5-VL-32B-Instruct",
"model_dtype": "float16",
"model_size": 0
},
"results": {
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"MathVerse": {
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"Total": {
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"Text Dominant": {
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"Vision Intensive": {
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"By Category": {
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"By Subplot": {
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"By Subject": {
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"Quantitative Biology": 76.19,
"Quantitative Finance": 80.39,
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"By Year": {
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"2021": 79.6,
"2022": 83.61,
"2023": 81.35
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"reasoning": {
"Overall Score": 42.7,
"By Answer Type": {
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"Text-in-General": 43.43,
"Number-in-Chart": 44.4,
"Number-in-General": 35.37
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"By Source": {
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"GPT-Inspired": 41.67,
"Completely Human": 40.83
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"By Subject": {
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"Economics": 43.48,
"Electrical Engineering and Systems Science": 42.86,
"Mathematics": 40.0,
"Physics": 51.18,
"Quantitative Biology": 42.06,
"Quantitative Finance": 37.93,
"Statistics": 41.59
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"By Year": {
"2020": 40.08,
"2021": 41.38,
"2022": 36.48,
"2023": 52.82
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"By Subplot": {
"1 Subplot": 45.6,
"2-4 Subplots": 42.33,
"5+ Subplots": 38.56
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"N_valid": 1000,
"N_invalid": 1,
"Question Type": "Reasoning"
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"accuracy": 62.15,
"acc_stderr": 0,
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"MathVision": {
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"CII-Bench": {
"accuracy": 63.01,
"domain_score": {
"Art": 62.5,
"Life": 60.17,
"Env.": 79.63,
"Society": 65.95,
"CTC": 58.52,
"Politics": 58.33
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"emotion_score": {
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"Neutral": 60.15,
"Positive": 64.1
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"acc_stderr": 0,
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"Blink": {
"accuracy": 58.97,
"Art Style": 76.07,
"Counting": 65.0,
"Forensic Detection": 58.33,
"Functional Correspondence": 29.23,
"IQ Test": 30.67,
"Jigsaw": 69.33,
"Multi-view Reasoning": 48.87,
"Object Localization": 56.56,
"Relative Depth": 74.19,
"Relative Reflectance": 28.36,
"Semantic Correspondence": 51.8,
"Spatial Relation": 86.01,
"Visual Correspondence": 72.09,
"Visual Similarity": 78.52,
"acc_stderr": 0,
"acc": 58.97
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}
}