fix indent

adapter_classifier.py

@@ -73,16 +73,16 @@ train_dataset = train_dataset.map(encode_batch, batched=True)
 train_dataset.set_format(type="torch", columns=["input_ids", "attention_mask", "labels"])
 
 encoded_dev_dataset = {}
-    for corpus in dev_dict_dataset:
-        temp = dev_dict_dataset[corpus].map(encode_batch, batched=True)
-        temp.set_format(type="torch", columns=["input_ids", "attention_mask", "labels"])
-        encoded_dev_dataset[corpus] = temp
+for corpus in dev_dict_dataset:
+    temp = dev_dict_dataset[corpus].map(encode_batch, batched=True)
+    temp.set_format(type="torch", columns=["input_ids", "attention_mask", "labels"])
+    encoded_dev_dataset[corpus] = temp
 
 encoded_test_dataset = {}
-    for corpus in test_dict_dataset:
-        temp = test_dict_dataset[corpus].map(encode_batch, batched=True)
-        temp.set_format(type="torch", columns=["input_ids", "attention_mask", "labels"])
-        encoded_test_dataset[corpus] = temp
+for corpus in test_dict_dataset:
+    temp = test_dict_dataset[corpus].map(encode_batch, batched=True)
+    temp.set_format(type="torch", columns=["input_ids", "attention_mask", "labels"])
+    encoded_test_dataset[corpus] = temp
 
 # ===============================
 # ## Training params