fix every_n_epoch>1 logic and remove unnecessary log

data/every_dream_validation.py

@@ -97,10 +97,13 @@ class EveryDreamValidator:
                 remaining_train_items, tokenizer)
             return remaining_train_items
 
-    def get_validation_step_indices(self, epoch_length_steps: int) -> list[int]:
+    def get_validation_step_indices(self, epoch, epoch_length_steps: int) -> list[int]:
         if self.every_n_epochs >= 1:
-            # last step only
-            return [epoch_length_steps-1]
+            if ((epoch+1) % self.every_n_epochs) == 0:
+                # last step only
+                return [epoch_length_steps-1]
+            else:
+                return []
         # subdivide the epoch evenly, by rounding self.every_n_epochs to the nearest clean division of steps
         num_divisions = max(1, min(epoch_length_steps, round(1/self.every_n_epochs)))
         # validation happens after training:

train.py

@@ -802,9 +802,8 @@ def main(args):
 
             validation_steps = (
                 [] if validator is None
-                else validator.get_validation_step_indices(len(train_dataloader))
+                else validator.get_validation_step_indices(epoch, len(train_dataloader))
             )
-            print(f"validation on steps {validation_steps}")
 
             for step, batch in enumerate(train_dataloader):
                 step_start_time = time.time()