update model card README.md

README.md

@@ -1,6 +1,7 @@
 ---
 license: apache-2.0
 tags:
+- text-classification
 - generated_from_trainer
 datasets:
 - glue
@@ -22,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6838235294117647
+      value: 0.664927536231884
     - name: F1
       type: f1
-      value: 0.8122270742358079
+      value: 0.7987465181058496
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,11 +34,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # NLP_sequences_example
 
-This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the glue dataset.
+This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the glue and the mrpc datasets.
 It achieves the following results on the evaluation set:
-- Loss: 0.6427
-- Accuracy: 0.6838
-- F1: 0.8122
+- Loss: 0.6412
+- Accuracy: 0.6649
+- F1: 0.7987
 
 ## Model description