last training swipe on eval set is now performed on batch size equal to the training set batch size

gfun/vgfs/commons.py

@@ -246,7 +246,6 @@ class Trainer:
                     # swapping model on gpu
                     del self.model
                     self.model = restored_model.to(self.device)
-
                     break
 
             if self.scheduler is not None:
@@ -262,7 +261,14 @@ class Trainer:
             )
 
         print(f"- last swipe on eval set")
-        self.train_epoch(eval_dataloader, epoch=-1)
+        self.train_epoch(
+            DataLoader(
+                eval_dataloader.dataset,
+                batch_size=train_dataloader.batch_size,
+                shuffle=True,
+            ),
+            epoch=-1,
+        )
         self.earlystopping.save_model(self.model)
         return self.model
 
@@ -341,6 +347,7 @@ class EarlyStopping:
 
     def __call__(self, validation, model, epoch):
         if validation >= self.best_score:
+            wandb.log({"patience": self.patience - self.counter})
             if self.verbose:
                 print(
                     f"- earlystopping: Validation score improved from {self.best_score:.3f} to {validation:.3f}"
@@ -352,6 +359,7 @@ class EarlyStopping:
             self.save_model(model)
         elif validation < (self.best_score + self.min_delta):
             self.counter += 1
+            wandb.log({"patience": self.patience - self.counter})
             if self.verbose:
                 print(
                     f"- earlystopping: Validation score decreased from {self.best_score:.3f} to {validation:.3f}, current patience: {self.patience - self.counter}"