update model card README.md

README.md

@@ -3,25 +3,10 @@ license: mit
 tags:
 - generated_from_trainer
 datasets:
-- Fraser/short-jokes
-metrics:
-- accuracy
+- short-jokes
 model-index:
 - name: gpt2-jokes
-  results:
-  - task:
-      name: Causal Language Modeling
-      type: text-generation
-    dataset:
-      name: Fraser/short-jokes
-      type: Fraser/short-jokes
-      config: default
-      split: train[:5%]
-      args: default
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.36584496431695074
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +14,7 @@ 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 Fraser/short-jokes dataset.
-It achieves the following results on the evaluation set:
-- Loss: 3.5666
-- Accuracy: 0.3658
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the short-jokes dataset.
 
 ## Model description