update model card README.md

README.md

@@ -3,10 +3,25 @@ license: apache-2.0
 tags:
 - generated_from_trainer
 datasets:
-- sem_eval2016_task5_raw
+- Yaxin/SemEval2016Task5Raw
+metrics:
+- accuracy
 model-index:
 - name: bert-large-uncased-semeval2016-laptops
-  results: []
+  results:
+  - task:
+      name: Masked Language Modeling
+      type: fill-mask
+    dataset:
+      name: Yaxin/SemEval2016Task5Raw laptops_english
+      type: Yaxin/SemEval2016Task5Raw
+      config: laptops_english
+      split: validation
+      args: laptops_english
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.7432432432432432
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -14,7 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-large-uncased-semeval2016-laptops
 
-This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the sem_eval2016_task5_raw dataset.
+This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the Yaxin/SemEval2016Task5Raw laptops_english dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9255
+- Accuracy: 0.7432
 
 ## Model description