Add training_loss_history.json

training_loss_history.json

@@ -1,13 +1,13 @@
 {
   "model": "Gautam6/GautamAI",
   "architecture": "GautamForCausalLM",
-  "last_updated": "2026-08-25T15:46:02.284Z",
+  "last_updated": "2026-08-25T15:47:12.386Z",
   "training_run": {
-    "active_feature": "Formal Mathematics & Theorem Proving AGI Engine v3.0",
+    "active_feature": "Full-Stack Web & Dynamic Micro-Frontends AGI Engine v4.0",
     "epoch": 1,
     "global_step": 128,
-    "loss": 0.15689999999999316,
-    "perplexity": 1.1698786201892986,
+    "loss": 0.17440000000000566,
+    "perplexity": 1.190531683263838,
     "gradient_norm": 1.7466,
     "learning_rate": 0.0001067,
     "weight_sparsity_percent": 42.5,