adjust parameter

model.py

@@ -127,14 +127,14 @@ if __name__ == "__main__":
     checkpoint_callback = ModelCheckpoint(
         dirpath=args.checkpoint_dir,
         save_top_k=2,
-        monitor="train_loss",
+        monitor="val_loss",
         filename="squad-v2-{epoch:02d}-{train_loss:.2f}-{val_loss:.2f}",
         save_last=True,
-        every_n_train_steps=100,
+        every_n_train_steps=1000,
     )
 
     early_stop_callback = EarlyStopping(
-        monitor="val_loss",
+        monitor="train_loss",
         patience=3,
         check_finite=True,
         verbose=True,
@@ -151,7 +151,7 @@ if __name__ == "__main__":
         devices=1,
         logger=TensorBoardLogger("lightning_logs", name="squad-v2-bert"),
         enable_model_summary=True,
-        val_check_interval=100,
+        val_check_interval=0.25,
     )
     if args.ckpt_path:
         trainer.fit(bert, data, ckpt_path=args.ckpt_path)