update model card README.md

README.md

@@ -1,6 +1,9 @@
 ---
 license: apache-2.0
 tags:
+- text-classification
+- depression
+- reddit
 - generated_from_trainer
 datasets:
 - depression-reddit-cleaned
@@ -13,7 +16,7 @@ model-index:
       name: Text Classification
       type: text-classification
     dataset:
-      name: depression-reddit-cleaned
+      name: mrjunos/depression-reddit-cleaned
       type: depression-reddit-cleaned
       config: default
       split: train
@@ -21,7 +24,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9851325145442793
+      value: 0.9715578539107951
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +32,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # depression-reddit-distilroberta-base
 
-This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the depression-reddit-cleaned dataset.
+This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the mrjunos/depression-reddit-cleaned dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0951
-- Accuracy: 0.9851
+- Loss: 0.0821
+- Accuracy: 0.9716
 
 ## Model description