diff --git a/generator/configs/phase5/p5_vae.json b/generator/configs/phase5/p5_vae.json
index a62acd2..7f13aff 100644
--- a/generator/configs/phase5/p5_vae.json
+++ b/generator/configs/phase5/p5_vae.json
@@ -12,7 +12,7 @@
   "lr_d": 1e-4,
   "beta_kl": 0.25,
   "lambda_perceptual": 0.1,
-  "lambda_adversarial": 0.1,
+  "lambda_adversarial": 0.01,
   "ndf_patch": 64,
   "sample_interval": 10,
   "fid_interval": 25,
diff --git a/generator/src/training/trainer.py b/generator/src/training/trainer.py
index 9e501fa..14d06dd 100644
--- a/generator/src/training/trainer.py
+++ b/generator/src/training/trainer.py
@@ -1,5 +1,6 @@
 import os
 import time
+import warnings
 from pathlib import Path
 
 import torch
@@ -12,6 +13,9 @@ from tqdm import tqdm
 from src.training.ema import EMA
 from src.training.fid import FIDEvaluator
 
+# LambdaLR calls step() once in __init__ before any optimizer step — false positive
+warnings.filterwarnings("ignore", message="Detected call of `lr_scheduler.step\\(\\)` before `optimizer.step\\(\\)`")
+
 if hasattr(torch.amp, "GradScaler"):
     _GradScaler = torch.amp.GradScaler
     _autocast = torch.amp.autocast