diff --git a/vall_e/engines/__init__.py b/vall_e/engines/__init__.py
index 5ec6569..7d83028 100755
--- a/vall_e/engines/__init__.py
+++ b/vall_e/engines/__init__.py
@@ -318,6 +318,11 @@ def load_engines(training=True, **model_kwargs):
 				kwargs["group"] = "DDP"
 				kwargs['id'] = f'{key_name}-{salt}-{global_rank()}'
 
+			kwargs['config'] = dict(
+				config = engine.hyper_config.__dict__,
+				hyperparameters = cfg.hyperparameters.__dict__,
+			)
+
 			try:
 				engine.wandb = wandb.init(project=key_name, **kwargs)
 				engine.wandb.watch(engine.module)
diff --git a/vall_e/train.py b/vall_e/train.py
index ded1ec4..972ae45 100755
--- a/vall_e/train.py
+++ b/vall_e/train.py
@@ -246,9 +246,19 @@ def run_eval(engines, eval_name, dl, args=None):
 
 	stats = {k: sum(v) / len(v) for k, v in stats.items() if v}
 	engines_stats = {
-		f'{name}.{eval_name}': stats,
+		eval_name: stats,
 		"it": engines.global_step,
 	}
+
+	try:
+		for engine in engines:	
+			if engine.wandb is not None:
+				engine.wandb.log({
+					f'{eval_name}.loss.mstft': stats['loss'],
+				}, step=engine.global_step)
+	except Exception as e:
+		print(e)
+
 	#engines_stats['epoch'] = iteration * cfg.hyperparameters.gradient_accumulation_steps / len(dl)
 
 	_logger.info(f"Validation Metrics: {json.dumps(engines_stats)}.")