diff --git a/vall_e/train.py b/vall_e/train.py
index a93a6aa..7b2ea7c 100755
--- a/vall_e/train.py
+++ b/vall_e/train.py
@@ -164,6 +164,9 @@ def train():
 	train_dl, subtrain_dl, val_dl = create_train_val_dataloader()
 	
 	def eval_fn(engines):
+		do_gc()
+		engines.eval()
+		# wrapped in a try block because it's sometimes prone to breaking
 		try:
 			run_eval(engines, "subtrain", subtrain_dl)
 			run_eval(engines, "val", val_dl)
@@ -171,6 +174,7 @@ def train():
 			print("Error occurred while performing eval:", str(e))
 			print(traceback.format_exc())
 
+		engines.train()
 		qnt.unload_model()
 		do_gc()
 
diff --git a/vall_e/utils/trainer.py b/vall_e/utils/trainer.py
index 230e49b..fd79dcb 100755
--- a/vall_e/utils/trainer.py
+++ b/vall_e/utils/trainer.py
@@ -142,9 +142,8 @@ def train(
 	# Pre-loop command
 	command = _non_blocking_input()
 	if command in ["eval", "eval_quit"]:
-		engines.eval()
 		eval_fn(engines=engines)
-		engines.train()
+
 	if command in ["quit", "eval_quit"]:
 		return
 
@@ -261,12 +260,8 @@ def train(
 
 			if engines.global_step != last_eval_step:
 				if engines.global_step % cfg.evaluation.frequency == 0 or command in ["eval"]:
-					do_gc()
-
-					engines.eval()
-					eval_fn(engines=engines)
-					engines.train()
 					last_eval_step = engines.global_step
+					eval_fn(engines=engines)
 
 			if command in ["quit"]:
 				return