update model card README.md

README.md

@@ -2,6 +2,7 @@
 license: apache-2.0
 base_model: bert-base-multilingual-cased
 tags:
+- text-classification
 - generated_from_trainer
 datasets:
 - glue
@@ -15,7 +16,7 @@ model-index:
       name: Text Classification
       type: text-classification
     dataset:
-      name: glue
+      name: datasetX
       type: glue
       config: mrpc
       split: validation
@@ -23,10 +24,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7769607843137255
+      value: 0.7426470588235294
     - name: F1
       type: f1
-      value: 0.8544
+      value: 0.8059149722735676
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,11 +35,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-base-multilingual-cased-mrpc-glue
 
-This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the glue dataset.
+This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the datasetX dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5550
-- Accuracy: 0.7770
-- F1: 0.8544
+- Loss: 0.5185
+- Accuracy: 0.7426
+- F1: 0.8059
 
 ## Model description