update model card README.md

README.md

@@ -1,6 +1,7 @@
 ---
 license: apache-2.0
 tags:
+- text-classification
 - generated_from_trainer
 datasets:
 - glue
@@ -14,7 +15,7 @@ model-index:
       name: Text Classification
       type: text-classification
     dataset:
-      name: glue
+      name: datasetX
       type: glue
       config: mrpc
       split: validation
@@ -22,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8235294117647058
+      value: 0.8137254901960784
     - name: F1
       type: f1
-      value: 0.8718861209964414
+      value: 0.8633093525179856
 ---
 
 <!-- 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. -->
 
 # platzi-distilroberta-base-mrpc-glue-santiago
 
-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 datasetX dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7367
-- Accuracy: 0.8235
-- F1: 0.8719
+- Loss: 0.7037
+- Accuracy: 0.8137
+- F1: 0.8633
 
 ## Model description