Update README.md

README.md

@@ -9,6 +9,8 @@ metrics:
 model-index:
 - name: bert-base-cased-fine-tuned-sst2
   results: []
+datasets:
+- nyu-mll/glue
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-base-cased-fine-tuned-sst2
 
-This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on nyu-mll/glue sst2 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.4606
 - Accuracy: 0.9209
@@ -60,4 +62,4 @@ The following hyperparameters were used during training:
 - Transformers 4.46.3
 - Pytorch 2.5.1+cu121
 - Datasets 3.1.0
-- Tokenizers 0.20.3
+- Tokenizers 0.20.3