diff --git a/makefile b/makefile
index 36bb623..c866ece 100644
--- a/makefile
+++ b/makefile
@@ -15,6 +15,7 @@ test:
 		--trainer.fast_dev_run 1 \
 		--trainer.min_epochs 1 \
 		--trainer.max_epochs 10 \
+		--trainer.log_every_n_steps 5 \
 		--trainer.check_val_every_n_epoch 1 \
 		--trainer.callbacks callbacks.SaveImageCallback \
 		--trainer.callbacks.init_args.final_dir out \
@@ -25,6 +26,7 @@ test:
 		--lr_scheduler.init_args.patience 5 \
 		--lr_scheduler.init_args.cooldown 10 \
 		--lr_scheduler.init_args.factor 0.05 \
+		--lr_scheduler.init_args.monitor hp_metric \
 		--lr_scheduler.init_args.verbose true \
 		--print_config
 
diff --git a/newsearch.py b/newsearch.py
index 53269be..c21a35e 100644
--- a/newsearch.py
+++ b/newsearch.py
@@ -47,29 +47,30 @@ for idx, params in enumerate(search_params):
     a, lr, bs, me, s, w = params
     cmd = f"cd ~/colors && python main.py --alpha {a} --lr {lr} --bs {bs} --max_epochs {me} --seed {s} --width {w}"
     cmd = f"""
-        python newmain.py fit \
-          --seed_everything {s} \
-          --data.batch_size {bs} \
-          --data.train_size 0 \
-          --data.val_size 100000 \
-          --model.alpha {a} \
-          --model.width {w} \
-          --trainer.fast_dev_run 1 \
-          --trainer.min_epochs 10 \
-          --trainer.max_epochs {me} \
-          --trainer.check_val_every_n_epoch 1 \
-          --trainer.callbacks callbacks.SaveImageCallback \
-          --trainer.callbacks.init_args.final_dir out \
-          --trainer.callbacks.init_args.save_interval 0 \
-          --optimizer torch.optim.Adam \
-          --optimizer.init_args.lr {lr} \
-          --lr_scheduler lightning.pytorch.cli.ReduceLROnPlateau \
-          --lr_scheduler.init_args.patience 5 \
-          --lr_scheduler.init_args.cooldown 10 \
-          --lr_scheduler.init_args.factor 0.05 \
-          --lr_scheduler.init_args.verbose true \
-          --print_config
-        """
+python newmain.py fit \
+--seed_everything {s} \
+--data.batch_size {bs} \
+--data.train_size 0 \
+--data.val_size 100000 \
+--model.alpha {a} \
+--model.width {w} \
+--trainer.min_epochs 10 \
+--trainer.max_epochs {me} \
+--trainer.log_every_n_steps 3 \
+--trainer.check_val_every_n_epoch 10 \
+--trainer.limit_val_batches 50 \
+--trainer.callbacks callbacks.SaveImageCallback \
+--trainer.callbacks.init_args.final_dir out \
+--trainer.callbacks.init_args.save_interval 0 \
+--optimizer torch.optim.Adam \
+--optimizer.init_args.lr {lr} \
+--lr_scheduler lightning.pytorch.cli.ReduceLROnPlateau \
+--lr_scheduler.init_args.monitor hp_metric \
+--lr_scheduler.init_args.factor 0.05 \
+--lr_scheduler.init_args.patience 5 \
+--lr_scheduler.init_args.cooldown 10 \
+--lr_scheduler.init_args.verbose true 
+"""
 
     # job_name = f"color2_{bs}_{a}_{lr:2.2e}"
     # job_plugin.run(cmd, machine=Machine.T4, name=job_name)