update model card README.md

README.md

@@ -3,7 +3,7 @@ license: mit
 tags:
 - generated_from_trainer
 datasets:
-- short-jokes
+- Fraser/short-jokes
 metrics:
 - accuracy
 model-index:
@@ -13,15 +13,15 @@ model-index:
       name: Causal Language Modeling
       type: text-generation
     dataset:
-      name: short-jokes
-      type: short-jokes
+      name: Fraser/short-jokes
+      type: Fraser/short-jokes
       config: default
       split: train[:5%]
       args: default
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8795477617316698
+      value: 0.8795507387461411
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # gpt2-jokes
 
-This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the short-jokes dataset.
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the Fraser/short-jokes dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.6748
-- Accuracy: 0.8795
+- Accuracy: 0.8796
 
 ## Model description