diff --git a/enhancer/cli/train_config/dataset/Vctk.yaml b/enhancer/cli/train_config/dataset/Vctk.yaml
index c33d29a..3f7252c 100644
--- a/enhancer/cli/train_config/dataset/Vctk.yaml
+++ b/enhancer/cli/train_config/dataset/Vctk.yaml
@@ -2,10 +2,10 @@ _target_: enhancer.data.dataset.EnhancerDataset
 name : vctk
 root_dir : /scratch/c.sistc3/DS_10283_2791
 duration : 4.5
-stride : 2
+stride : 0.5
 sampling_rate: 16000
 batch_size: 32
-valid_minutes : 15
+valid_minutes : 25
 files:
   train_clean : clean_trainset_28spk_wav
   test_clean : clean_testset_wav
diff --git a/enhancer/cli/train_config/hyperparameters/default.yaml b/enhancer/cli/train_config/hyperparameters/default.yaml
index 1782ea9..63eeece 100644
--- a/enhancer/cli/train_config/hyperparameters/default.yaml
+++ b/enhancer/cli/train_config/hyperparameters/default.yaml
@@ -1,7 +1,8 @@
 loss : mae
 metric : [stoi,pesq,si-sdr]
 lr : 0.0003
-ReduceLr_patience : 5
-ReduceLr_factor : 0.2
+ReduceLr_patience : 10
+Early_stop : True
+ReduceLr_factor : 0.5
 min_lr : 0.000001
-EarlyStopping_factor : 10
+EarlyStopping_patience : 10
diff --git a/enhancer/cli/train_config/mlflow/experiment.yaml b/enhancer/cli/train_config/mlflow/experiment.yaml
index d597333..8d76f15 100644
--- a/enhancer/cli/train_config/mlflow/experiment.yaml
+++ b/enhancer/cli/train_config/mlflow/experiment.yaml
@@ -1,2 +1,2 @@
 experiment_name : shahules/enhancer
-run_name : Demucs + Vtck with stride + augmentations
+run_name : Demucs(ablation_study)
diff --git a/enhancer/cli/train_config/trainer/default.yaml b/enhancer/cli/train_config/trainer/default.yaml
index 8bdf60f..988c6e1 100644
--- a/enhancer/cli/train_config/trainer/default.yaml
+++ b/enhancer/cli/train_config/trainer/default.yaml
@@ -23,7 +23,7 @@ limit_test_batches: 1.0
 limit_train_batches: 1.0
 limit_val_batches: 1.0
 log_every_n_steps: 50
-max_epochs: 200
+max_epochs: 250
 max_steps: -1
 max_time: null
 min_epochs: 1
diff --git a/enhancer/data/dataset.py b/enhancer/data/dataset.py
index dac2c50..b5bbadf 100644
--- a/enhancer/data/dataset.py
+++ b/enhancer/data/dataset.py
@@ -136,6 +136,7 @@ class TaskDataset(pl.LightningDataModule):
             speaker_index = rng.choice(possible_indices)
             possible_indices.remove(speaker_index)
             speaker_name = all_speakers[speaker_index]
+            print(f"Selected f{speaker_name} for valid")
             file_indices = [
                 i
                 for i, file in enumerate(data)