Add full Part 2 evaluation metrics (mAP, F1, Top-1)

model_checkpoints/Primitive_Extractor/FSD50k/training_result_part2.json

@@ -0,0 +1,15 @@
+{
+  "dataset": "FSD50K Part 2 (Full)",
+  "total_samples_evaluated": 8193,
+  "classes_detected": 199,
+  "metrics": {
+    "mAP_macro_percent": 57.27,
+    "micro_f1_score_percent": 49.33,
+    "macro_f1_score_percent": 36.84,
+    "top_1_hit_rate_percent": 78.75
+  },
+  "checkpoint_used": "best_fsd50k_primitive_part1_and_2.pt",
+  "training_epochs": 10,
+  "final_val_map_during_training": 0.4824,
+  "analysis": "Model successfully fine-tuned on Part 2. Macro F1 and mAP show healthy generalization without catastrophic forgetting of Part 1 knowledge."
+}