Update README.md

README.md

@@ -2,11 +2,38 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
+- chatgpt
 metrics:
 - accuracy
 model-index:
 - name: distilgpt2-HC3
   results: []
+widget:
+- text: >-
+    Is this review positive or negative? Review: Best cast iron skillet you will
+    ever buy. <answer>
+  example_title: Sentiment analysis
+- text: >-
+    Barack Obama nominated Hilary Clinton as his secretary of state on Monday.
+    He chose her because she had <answer>
+  example_title: Coreference resolution
+- text: >-
+    On a shelf, there are five books: a gray book, a red book, a purple book, a
+    blue book, and a black book <answer>
+  example_title: Logic puzzles
+- text: >-
+    The two men running to become New York City's next mayor will face off in
+    their first debate Wednesday night <answer>
+  example_title: Reading comprehension
+- text: >-
+    Is it true that if I have five 5-hour energy drinks in a single 24-hour
+    period, I get 25 hours of energy and spontaneously explode? <answer>
+  example_title: 5 hour energy
+datasets:
+- Hello-SimpleAI/HC3
+language:
+- en
+library_name: transformers
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -14,7 +41,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilgpt2-HC3
 
-This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
+This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the "chatgpt answers" column of the `Hello-SimpleAI/HC3` dataset.
+
 It achieves the following results on the evaluation set:
 - Loss: 1.9983
 - Accuracy: 0.5441
@@ -65,4 +93,4 @@ The following hyperparameters were used during training:
 - Transformers 4.27.0.dev0
 - Pytorch 1.11.0+cu113
 - Datasets 2.6.1
-- Tokenizers 0.12.1
+- Tokenizers 0.12.1