Update README.md

README.md

@@ -12,6 +12,11 @@ metrics:
 model-index:
 - name: ModernBERT-base-NER
   results: []
+datasets:
+- lhoestq/conll2003
+language:
+- en
+pipeline_tag: token-classification
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -19,7 +24,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ModernBERT-base-NER
 
-This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
+This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on [lhoestq/conll2003](https://huggingface.co/datasets/lhoestq/conll2003) dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.5320
 - Precision: 0.8982
@@ -67,4 +72,4 @@ The following hyperparameters were used during training:
 - Transformers 5.1.0
 - Pytorch 2.7.0a0+ecf3bae40a.nv25.02
 - Datasets 4.5.0
-- Tokenizers 0.22.2
+- Tokenizers 0.22.2