diff --git a/tests/test_callbacks.py b/tests/test_callbacks.py
index 73f115f..0069291 100644
--- a/tests/test_callbacks.py
+++ b/tests/test_callbacks.py
@@ -1,6 +1,6 @@
 import pytest
 from trainers import get_trainer
-from callbacks.early_stopping import EarlyStopping
+from callbacks import EarlyStopping
 from utils.metrics import Accuracy
 from datasets.transformations import get_transforms
 from datasets.dataset import get_dataset
@@ -53,10 +53,9 @@ def test_early_stopping():
     early_stopping_callback = EarlyStopping(patience=2, verbose=True, monitor='val_loss', delta=0.1)
     trainer.train(
         train_loader=train_loader,
-        num_epochs=4,  # Intentionally, one more epoch than patience as early stopping should trigger
+        num_epochs=3,  # Intentionally, one more epoch than patience as early stopping should trigger
         valid_loader=test_loader,
         callbacks=[early_stopping_callback],
-        verbose=False
     )
 
     assert early_stopping_callback.early_stop, "Early stopping did not trigger as expected."
diff --git a/tests/test_checkpoints.py b/tests/test_checkpoints.py
index c8513b3..12044d2 100644
--- a/tests/test_checkpoints.py
+++ b/tests/test_checkpoints.py
@@ -53,7 +53,6 @@ def test_checkpoint_functionality():
         train_loader=train_loader,
         num_epochs=6,
         checkpoint_dir=checkpoint_dir,
-        verbose=False
     )
 
     checkpoint_path = os.path.join(checkpoint_dir, 'checkpoint_epoch_5.pth')
@@ -68,7 +67,6 @@ def test_checkpoint_functionality():
         train_loader=train_loader,
         num_epochs=2,
         checkpoint_dir=checkpoint_dir,
-        verbose=False
     )
 
     _, metrics_results = trainer.evaluate(test_loader, verbose=False)
diff --git a/tests/test_fine_tuning_pipeline.py b/tests/test_fine_tuning_pipeline.py
index 3e41aae..a23e51f 100644
--- a/tests/test_fine_tuning_pipeline.py
+++ b/tests/test_fine_tuning_pipeline.py
@@ -79,11 +79,11 @@ def test_fine_tuning_loop():
         freeze_until_layer=CONFIG_TEST['training'].get('freeze_until_layer'),
         metrics=metrics
     )
+
     trainer.train(
         train_loader=train_loader,
         valid_loader=valid_loader,
         num_epochs=CONFIG_TEST['training']['num_epochs'],
-        verbose=False
     )
     
     trainer.unfreeze_all_layers()
@@ -99,7 +99,6 @@ def test_fine_tuning_loop():
         train_loader=train_loader,
         valid_loader=valid_loader,
         num_epochs=CONFIG_TEST['training']['num_epochs'],
-        verbose=False
     )
     
     _, metrics_results = trainer.evaluate(
diff --git a/tests/test_training_pipeline.py b/tests/test_training_pipeline.py
index 0976acb..ea25796 100644
--- a/tests/test_training_pipeline.py
+++ b/tests/test_training_pipeline.py
@@ -80,7 +80,6 @@ def test_training_loop():
         train_loader=train_loader,
         valid_loader=valid_loader,
         num_epochs=CONFIG_TEST['training']['num_epochs'],
-        verbose=False
     )
     _, metrics_results = trainer.evaluate(
         data_loader=test_loader,