--- a
+++ b/earlystoping.py
@@ -0,0 +1,34 @@
+import torch
+
+class Earlystopping:
+    def __init__(self, number=50, path='../ssd/checkpoint.pt'):
+        self.number = number
+        self.path = path
+        self.counter = 0
+        self.epoch_count = 0
+        self.best_epoch_num = 1
+        self.max_acc = None
+        self.stop_now = False
+
+    def __call__(self, model, acc):
+        if self.max_acc is None:
+            self.epoch_count += 1
+            self.max_acc = acc
+            self.save_model(model)
+        elif acc > self.max_acc:
+            self.epoch_count += 1
+            self.best_epoch_num = self.epoch_count
+            print('New maximum accuracy: {:.4f}% -> {:.4f}%\n'.format(self.max_acc, acc))
+            self.max_acc = acc
+            self.save_model(model)
+            self.counter = 0
+        else:
+            self.epoch_count += 1
+            print('Current maximum accuracy: {:.4f}%\n'
+                  'Early stopping counter: {:d}/{:d}\n'.format(self.max_acc, self.counter, self.number))
+            if self.counter >= self.number:
+                self.stop_now = True
+            self.counter += 1
+
+    def save_model(self, model):
+        torch.save(model.state_dict(), self.path)