Update README.md

README.md

@@ -2,6 +2,8 @@
 license: mit
 tags:
 - generated_from_trainer
+- nlu
+- slot-tagging
 metrics:
 - precision
 - recall
@@ -9,7 +11,18 @@ metrics:
 - accuracy
 model-index:
 - name: xlm-r-base-amazon-massive-slot
-  results: []
+  results:
+  - task:
+      name: slot-tagging
+      type: slot-tagging
+    dataset:
+      name: MASSIVE
+      type: AmazonScience/massive
+      split: test
+    metrics:
+    - name: F1
+      type: f1
+      value: 0.8405
 datasets:
 - AmazonScience/massive
 language:
@@ -21,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # xlm-r-base-amazon-massive-slot
 
-This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the [MASSIVE1.1](https://huggingface.co/datasets/AmazonScience/massive) dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.5006
 - Precision: 0.8144