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"timestamp": 1762929087.953246,
"results": [
{
"task_name": "simple_qa",
"model_name": "CompactAI-DynamicAllocation",
"efficiency_score": 0.30000000000000004,
"quality_score": 0.9494961192929362,
"tokens_used": 35,
"tokens_allocated": 50,
"inference_time": 0.06999999999999999,
"memory_usage": 28672.0,
"output_text": "Simulated output for simple_qa: Paris...",
"metadata": {
"complexity": "simple",
"category": "qa",
"efficiency_enabled": true,
"simulated": true
}
},
{
"task_name": "complex_qa",
"model_name": "CompactAI-DynamicAllocation",
"efficiency_score": 0.20666666666666667,
"quality_score": 0.894283133713478,
"tokens_used": 119,
"tokens_allocated": 150,
"inference_time": 0.21000000000000002,
"memory_usage": 97484.8,
"output_text": "Simulated output for complex_qa: Tokyo hosted the 2020 Summer Olympics. Tokyo's pop...",
"metadata": {
"complexity": "complex",
"category": "qa",
"efficiency_enabled": true,
"simulated": true
}
},
{
"task_name": "simple_math",
"model_name": "CompactAI-DynamicAllocation",
"efficiency_score": 0.2666666666666667,
"quality_score": 0.8340978960766522,
"tokens_used": 22,
"tokens_allocated": 30,
"inference_time": 0.06999999999999999,
"memory_usage": 18022.4,
"output_text": "Simulated output for simple_math: x = 5...",
"metadata": {
"complexity": "simple",
"category": "math",
"efficiency_enabled": true,
"simulated": true
}
},
{
"task_name": "complex_math",
"model_name": "CompactAI-DynamicAllocation",
"efficiency_score": 0.2666666666666667,
"quality_score": 0.8916521172757099,
"tokens_used": 88,
"tokens_allocated": 120,
"inference_time": 0.21000000000000002,
"memory_usage": 72089.6,
"output_text": "Simulated output for complex_math: Distance = 80\u00d72.5 + 60\u00d71.5 = 200 + 90 = 290 km. Av...",
"metadata": {
"complexity": "complex",
"category": "math",
"efficiency_enabled": true,
"simulated": true
}
},
{
"task_name": "simple_code",
"model_name": "CompactAI-DynamicAllocation",
"efficiency_score": 0.31666666666666665,
"quality_score": 0.9154023818640408,
"tokens_used": 41,
"tokens_allocated": 60,
"inference_time": 0.06999999999999999,
"memory_usage": 33587.200000000004,
"output_text": "Simulated output for simple_code: def factorial(n):\n if n == 0 or n == 1:\n ...",
"metadata": {
"complexity": "simple",
"category": "code",
"efficiency_enabled": true,
"simulated": true
}
},
{
"task_name": "complex_code",
"model_name": "CompactAI-DynamicAllocation",
"efficiency_score": 0.28500000000000003,
"quality_score": 0.8527048306121557,
"tokens_used": 143,
"tokens_allocated": 200,
"inference_time": 0.21000000000000002,
"memory_usage": 117145.6,
"output_text": "Simulated output for complex_code: class Node:\n def __init__(self, value):\n ...",
"metadata": {
"complexity": "complex",
"category": "code",
"efficiency_enabled": true,
"simulated": true
}
},
{
"task_name": "short_summary",
"model_name": "CompactAI-DynamicAllocation",
"efficiency_score": 0.30000000000000004,
"quality_score": 0.9458148621143496,
"tokens_used": 28,
"tokens_allocated": 40,
"inference_time": 0.06999999999999999,
"memory_usage": 22937.600000000002,
"output_text": "Simulated output for short_summary: Machine learning uses algorithms and statistical m...",
"metadata": {
"complexity": "simple",
"category": "summarization",
"efficiency_enabled": true,
"simulated": true
}
},
{
"task_name": "long_summary",
"model_name": "CompactAI-DynamicAllocation",
"efficiency_score": 0.26,
"quality_score": 0.8806774324623109,
"tokens_used": 74,
"tokens_allocated": 100,
"inference_time": 0.21000000000000002,
"memory_usage": 60620.8,
"output_text": "Simulated output for long_summary: The transformer architecture replaced RNNs with se...",
"metadata": {
"complexity": "complex",
"category": "summarization",
"efficiency_enabled": true,
"simulated": true
}
},
{
"task_name": "simple_translation",
"model_name": "CompactAI-DynamicAllocation",
"efficiency_score": 0.4,
"quality_score": 0.8706420673193482,
"tokens_used": 15,
"tokens_allocated": 25,
"inference_time": 0.06999999999999999,
"memory_usage": 12288.0,
"output_text": "Simulated output for simple_translation: Bonjour, comment allez-vous aujourd'hui?...",
"metadata": {
"complexity": "simple",
"category": "translation",
"efficiency_enabled": true,
"simulated": true
}
},
{
"task_name": "complex_translation",
"model_name": "CompactAI-DynamicAllocation",
"efficiency_score": 0.275,
"quality_score": 0.9078664437710698,
"tokens_used": 58,
"tokens_allocated": 80,
"inference_time": 0.21000000000000002,
"memory_usage": 47513.600000000006,
"output_text": "Simulated output for complex_translation: Das System zur dynamischen Token-Zuweisung optimie...",
"metadata": {
"complexity": "complex",
"category": "translation",
"efficiency_enabled": true,
"simulated": true
}
}
]
} |