update model card README.md

README.md

@@ -1,10 +1,26 @@
 ---
-license: apache-2.0
+language:
+- en
 tags:
 - generated_from_trainer
+datasets:
+- OpenTable
+metrics:
+- accuracy
 model-index:
 - name: lstm.CEBaB_confounding.food_service_positive.absa.5-class.seed_42
-  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: 0.7223582211342309
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -12,7 +28,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # lstm.CEBaB_confounding.food_service_positive.absa.5-class.seed_42
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
+This model is a fine-tuned version of [lstm](https://huggingface.co/lstm) on the OpenTable OPENTABLE-ABSA dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9910
+- Accuracy: 0.7224
+- Macro-f1: 0.7183
+- Weighted-macro-f1: 0.7238
 
 ## Model description