1 files changed, 4 insertions, 2 deletions

diff --git a/train_lora.py b/train_lora.py
index 0ae8b31..0d8b8cb 100644
--- a/train_lora.py
+++ b/train_lora.py
@@ -873,7 +873,6 @@ def main():
         seed=args.seed,
         guidance_scale=args.guidance_scale,
         prior_loss_weight=args.prior_loss_weight if args.num_class_images != 0 else 0,
-        no_val=args.valid_set_size == 0,
         offset_noise_strength=args.offset_noise_strength,
         sample_scheduler=sample_scheduler,
         sample_batch_size=args.sample_batch_size,
@@ -905,7 +904,6 @@ def main():
         bucket_max_pixels=args.bucket_max_pixels,
         shuffle=not args.no_tag_shuffle,
         template_key=args.train_data_template,
-        valid_set_size=args.valid_set_size,
         train_set_pad=args.train_set_pad,
         valid_set_pad=args.valid_set_pad,
         dtype=weight_dtype,
@@ -931,6 +929,7 @@ def main():
         filter_tokens = [token for token in args.filter_tokens if token in args.placeholder_tokens]
 
         pti_datamodule = create_datamodule(
+            valid_set_size=0,
             batch_size=args.train_batch_size,
             filter=partial(keyword_filter, filter_tokens, args.collection, args.exclude_collections),
         )
@@ -992,6 +991,7 @@ def main():
             sample_output_dir=pti_sample_output_dir,
             checkpoint_output_dir=pti_checkpoint_output_dir,
             sample_frequency=pti_sample_frequency,
+            no_val=True,
         )
 
         embeddings.persist()
@@ -1000,6 +1000,7 @@ def main():
     # --------------------------------------------------------------------------------
 
     lora_datamodule = create_datamodule(
+        valid_set_size=args.valid_set_size,
         batch_size=args.train_batch_size,
         dropout=args.tag_dropout,
         filter=partial(keyword_filter, None, args.collection, args.exclude_collections),
@@ -1136,6 +1137,7 @@ def main():
             sample_output_dir=lora_sample_output_dir,
             checkpoint_output_dir=lora_checkpoint_output_dir,
             sample_frequency=lora_sample_frequency,
+            no_val=args.valid_set_size == 0,
         )
 
         training_iter += 1