Update README.md

README.md

@@ -7,6 +7,7 @@ language:
 - en
 metrics:
 - accuracy
+- f1
 base_model:
 - microsoft/deberta-large
 pipeline_tag: token-classification
@@ -203,15 +204,6 @@ class XGECToRDeberta(DebertaPreTrainedModel):
     def set_input_embeddings(self, value):
         self.deberta.set_input_embeddings(value)
 
-
-config = AutoConfig.from_pretrained("manred1997/deberta-v3-large-lemon-spell_5k")
-tokenizer = AutoTokenizer.from_pretrained("manred1997/deberta-v3-large-lemon-spell_5k")
-model = XGECToRDeberta.from_pretrained(
-    "manred1997/deberta-v3-large-lemon-spell_5k", config=config
-)
-
-
-
 config = AutoConfig.from_pretrained("manred1997/deberta-large-lemon-spell_5k")
 tokenizer = AutoTokenizer.from_pretrained("manred1997/deberta-large-lemon-spell_5k")
 model = XGECToRDeberta.from_pretrained(