diff --git a/Jenkinsfile b/Jenkinsfile
index 6920eb4..f363f08 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -32,4 +32,9 @@ pipeline {
          }
       }
    }
+   post {
+      success {
+         build job: 's434766-training/master', parameters: [string(name: 'BATCH_SIZE', value:'16'), string(name: 'EPOCHS', value:'5') ]
+      }
+   }
 }
\ No newline at end of file
diff --git a/pytorch-training-eval/Jenkinsfile-train b/pytorch-training-eval/Jenkinsfile-train
index 9fbae7d..a240979 100644
--- a/pytorch-training-eval/Jenkinsfile-train
+++ b/pytorch-training-eval/Jenkinsfile-train
@@ -43,6 +43,7 @@ pipeline {
     }
     post {
         success {
+            build job: 's434766-evaluation/master'
             mail body: 'SUCCESS TRAINING', subject: 's434766', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
         }
 
diff --git a/sacred-pytorch1.py b/sacred-pytorch1.py
index f359c24..f3d18c2 100644
--- a/sacred-pytorch1.py
+++ b/sacred-pytorch1.py
@@ -72,7 +72,7 @@ def train(num_epochs, batch_size, learning_rate, _log):
     info_loss = "Last loss = " + str(loss.item())
     _log.info(info_loss)
     y_pred = model(fTest)
-    print("predicted Y value: ", y_pred.data)
+    # print("predicted Y value: ", y_pred.data)
 
     torch.save(model.state_dict(), 'stroke.pth')
 
diff --git a/sacred-pytorch2.py b/sacred-pytorch2.py
index 8ba9322..98848e7 100644
--- a/sacred-pytorch2.py
+++ b/sacred-pytorch2.py
@@ -73,7 +73,7 @@ def train(num_epochs, batch_size, learning_rate, _log):
     info_loss = "Last loss = " + str(loss.item())
     _log.info(info_loss)
     y_pred = model(fTest)
-    print("predicted Y value: ", y_pred.data)
+    # print("predicted Y value: ", y_pred.data)
 
     torch.save(model.state_dict(), 'stroke.pth')