chore: update readme

README.md

@@ -10,7 +10,7 @@ metrics:
 - f1
 - accuracy
 model-index:
-- name: bert-large-uncased-conll2003-ner
+- name: bert-large-uncased-conll2003
   results:
   - task:
       name: Token Classification
@@ -34,12 +34,15 @@ model-index:
     - name: Accuracy
       type: accuracy
       value: 0.979076030660866
+language:
+- en
+library_name: transformers
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# bert-large-uncased-conll2003-ner
+# bert-large-uncased-conll2003
 
 This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the conll2003 dataset.
 It achieves the following results on the evaluation set:
@@ -88,4 +91,4 @@ The following hyperparameters were used during training:
 - Transformers 4.27.2
 - Pytorch 2.0.0+cu117
 - Datasets 2.10.1
-- Tokenizers 0.13.2
+- Tokenizers 0.13.2