Update README.md

README.md

@@ -29,7 +29,7 @@ model = AutoModelForTokenClassification.from_pretrained(model_id)
 
 
 # the sequence of labels used during training
-label = {"B-neu": 1, "I-neu": 2, "O": 0, "B-neg": 4, "B-con": 5, "I-pos": 6, "B-pos": 7, "I-con": 8, "I-neg": 9, "X": -100}
+label = {"B-neu": 1, "I-neu": 2, "O": 0, "B-neg": 3, "B-con": 4, "I-pos": 5, "B-pos": 6, "I-con": 7, "I-neg": 8, "X": -100}
 id2lab = {idx: lab for lab, idx in labels.items()}
 lab2id = {lab: idx for lab, idx in labels.items()}