update model card README.md

README.md

@@ -1,10 +1,27 @@
 ---
+language:
+- en
 license: mit
 tags:
 - generated_from_trainer
+datasets:
+- OpenTable
+metrics:
+- accuracy
 model-index:
 - name: gpt2.CEBaB_confounding.price_food_ambiance_negative.absa.5-class.seed_44
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: OpenTable OPENTABLE-ABSA
+      type: OpenTable
+      args: opentable-absa
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8270093839249286
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -12,7 +29,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # gpt2.CEBaB_confounding.price_food_ambiance_negative.absa.5-class.seed_44
 
-This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the OpenTable OPENTABLE-ABSA dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4608
+- Accuracy: 0.8270
+- Macro-f1: 0.8253
+- Weighted-macro-f1: 0.8274
 
 ## Model description