diff --git a/train-eval/Dockerfile b/train-eval/Dockerfile
index 5716b93..e8aa1c8 100644
--- a/train-eval/Dockerfile
+++ b/train-eval/Dockerfile
@@ -5,12 +5,12 @@ RUN apt install python3-pip -y
 RUN apt install unzip -y
 RUN apt install git -y
 
-RUN pip install --user numpy
-RUN pip install --user pandas
-RUN pip install --user torch
-RUN pip install --user keras
-RUN pip install --user tensorflow
-RUN pip install --user scikit-learn
+RUN pip install numpy
+RUN pip install pandas
+RUN pip install torch
+RUN pip install keras
+RUN pip install tensorflow
+RUN pip install scikit-learn
 
 # RUN echo "alias kaggle='~/.local/bin/kaggle'" >> ~/.bashrc
 
diff --git a/train-eval/eval.py b/train-eval/eval.py
index ff153bd..8368e49 100755
--- a/train-eval/eval.py
+++ b/train-eval/eval.py
@@ -38,10 +38,16 @@ model.load_state_dict(torch.load('model.pt'))
 x_test = torch.tensor(X.values, dtype=torch.float32)
 pred = model(x_test)
 pred = pred.detach().numpy()
-print ("The accuracy is", accuracy_score(Y, np.argmax(pred, axis=1)))
-print ("The precission score is ", precision_score(Y, np.argmax(pred, axis=1)))
-print ("The recall score is ", recall_score(Y, np.argmax(pred, axis=1)))
+acc = accuracy_score(Y, np.argmax(pred, axis=1))
+prec = precision_score(Y, np.argmax(pred, axis=1))
+recall = recall_score(Y, np.argmax(pred, axis=1))
+print ("The accuracy is", acc)
+print ("The precission score is ", prec)
+print ("The recall score is ", recall)
 
+file = open('metrics.txt', 'w')
+file.write(str(acc)  + '\t' + str(prec) + '\t' + str(recall))
+file.close()
 
 
 np.savetxt('prediction.tsv', pred, delimiter='\t')
\ No newline at end of file