Add HFA validation results: validation_report.json

validation_report.json

@@ -1,17 +1,18 @@
 {
   "executive_summary": {
     "total_tests": 7,
-    "hfa_wins": 1,
-    "standard_wins": 1,
+    "hfa_wins": 2,
+    "standard_wins": 0,
     "key_findings": [
-      "HFA outperforms standard attention on computational_efficiency by 35568.9%"
+      "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": 0.1493469230324704,
+      "hfa_performance": 0.528468887625606,
       "standard_performance": 0.1493469230324704,
-      "improvement_ratio": 1.0,
+      "improvement_ratio": 3.5385321431142467,
       "sequence_lengths_tested": [
         32,
         64,
@@ -22,9 +23,9 @@
       }
     },
     "computational_efficiency": {
-      "hfa_performance": 0.20064871311187743,
-      "standard_performance": 0.0005625307559967041,
-      "improvement_ratio": 356.68932049122134,
+      "hfa_performance": 0.19553671479225157,
+      "standard_performance": 0.0005462586879730225,
+      "improvement_ratio": 357.9562560694839,
       "sequence_lengths_tested": [
         32,
         64,
@@ -32,8 +33,8 @@
         256
       ],
       "metadata": {
-        "hfa_speed": "602",
-        "standard_speed": "455903",
+        "hfa_speed": "611",
+        "standard_speed": "467515",
         "unit": "tokens_per_second"
       }
     }