remove label from inputExamples

app.py

@@ -117,25 +117,25 @@ def training():
         example = dataset_0[i]
         example_opposite = dataset_0[-(i)]
         # print(example["text"])
-        train_examples.append(InputExample(texts=[example['text'], example_opposite["text"]], label=0))
+        train_examples.append(InputExample(texts=[example['text'], example_opposite["text"]]))
         
     for i in range(n_1):
         example = dataset_1[i]
         example_opposite = dataset_1[-(i)]
         # print(example["text"])
-        train_examples.append(InputExample(texts=[example['text'], example_opposite["text"]], label=1))
+        train_examples.append(InputExample(texts=[example['text'], example_opposite["text"]]))
         
     for i in range(n_2):
         example = dataset_2[i]
         example_opposite = dataset_2[-(i)]
         # print(example["text"])
-        train_examples.append(InputExample(texts=[example['text'], example_opposite["text"]], label=2))
+        train_examples.append(InputExample(texts=[example['text'], example_opposite["text"]]))
         
     for i in range(n_3):
         example = dataset_3[i]
         example_opposite = dataset_3[-(i)]
         # print(example["text"])
-        train_examples.append(InputExample(texts=[example['text'], example_opposite["text"]], label=3))
+        train_examples.append(InputExample(texts=[example['text'], example_opposite["text"]]))
         
     train_dataloader = DataLoader(train_examples, shuffle=True, batch_size=25)