Updated README.md

README.md

@@ -11,6 +11,13 @@ metrics:
 model-index:
 - name: bert-finetuned-ner-adam
   results: []
+datasets:
+- conll2003
+- rungalileo/mit_movies
+- hyperhustle/ner-dataset
+language:
+- en
+pipeline_tag: token-classification
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,7 +25,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-finetuned-ner-adam
 
-This model is a fine-tuned version of [dslim/bert-large-NER](https://huggingface.co/dslim/bert-large-NER) on an unknown dataset.
+This model is a fine-tuned version of [dslim/bert-large-NER](https://huggingface.co/dslim/bert-large-NER) on an [hyperhustle/ner-dataset](https://huggingface.co/datasets/hyperhustle/ner-dataset) dataset.
 It achieves the following results on the evaluation set:
 - Loss: nan
 - Precision: 0.8845
@@ -65,4 +72,4 @@ The following hyperparameters were used during training:
 - Transformers 4.38.2
 - Pytorch 2.1.0+cu121
 - Datasets 2.18.0
-- Tokenizers 0.15.2
+- Tokenizers 0.15.2