validation_report.json

{
  "executive_summary": {
    "total_tests": 7,
    "hfa_wins": 2,
    "standard_wins": 0,
    "key_findings": [
      "HFA outperforms standard attention on pattern_recognition by 253.9%",
      "HFA outperforms standard attention on computational_efficiency by 35695.6%"
    ]
  },
  "detailed_results": {
    "pattern_recognition": {
      "hfa_performance": 0.528468887625606,
      "standard_performance": 0.1493469230324704,
      "improvement_ratio": 3.5385321431142467,
      "sequence_lengths_tested": [
        32,
        64,
        128
      ],
      "metadata": {
        "pattern_type": "alternating_with_markers"
      }
    },
    "computational_efficiency": {
      "hfa_performance": 0.19553671479225157,
      "standard_performance": 0.0005462586879730225,
      "improvement_ratio": 357.9562560694839,
      "sequence_lengths_tested": [
        32,
        64,
        128,
        256
      ],
      "metadata": {
        "hfa_speed": "611",
        "standard_speed": "467515",
        "unit": "tokens_per_second"
      }
    }
  },
  "visualizations": [],
  "reproducibility": {
    "torch_version": "2.7.1+cu128",
    "cuda_version": "12.8",
    "random_seed": 42,
    "hardware_info": {
      "gpu_name": "NVIDIA GeForce RTX 3090 Ti",
      "gpu_memory": 25294995456,
      "cpu_count": 32,
      "ram_total": 405372833792
    }
  }
}