Update src/md.py

src/md.py

@@ -1,3 +1,5 @@
+from datetime import datetime
+
 ABOUT_TEXT = """
 We compute the win percentage for a reward model on hand curated chosen-rejected pairs for each prompt.
 A win is when the score for the chosen response is higher than the score for the rejected response.
@@ -92,10 +94,13 @@ Lengths (mean, std. dev.) include the prompt
 For more details, see the [dataset](https://huggingface.co/datasets/allenai/reward-bench).
 """
 
-TOP_TEXT = """
-# RewardBench: Evaluating Reward Models
+# Get current time formatted nicely
+current_time = datetime.now().strftime("%H:%M, %d %b %Y")
+
+TOP_TEXT = f"""# RewardBench: Evaluating Reward Models
+Last restart: {current_time}
+
 ### Evaluating the capabilities, safety, and pitfalls of reward models
-[Code](https://github.com/allenai/reward-bench) | [Eval. Dataset](https://huggingface.co/datasets/allenai/reward-bench) | [Prior Test Sets](https://huggingface.co/datasets/allenai/pref-test-sets) | [Results](https://huggingface.co/datasets/allenai/reward-bench-results) | [Paper](https://arxiv.org/abs/2403.13787) | Total models: {} | * Unverified models | ⚠️ Dataset Contamination
+[Code](https://github.com/allenai/reward-bench) | [Eval. Dataset](https://huggingface.co/datasets/allenai/reward-bench) | [Prior Test Sets](https://huggingface.co/datasets/allenai/pref-test-sets) | [Results](https://huggingface.co/datasets/allenai/reward-bench-results) | [Paper](https://arxiv.org/abs/2403.13787) | Total models: {{}} | * Unverified models | ⚠️ Dataset Contamination
 
-⚠️ Many of the top models were trained on unintentionally contaminated, AI-generated data, for more information, see this [gist](https://gist.github.com/natolambert/1aed306000c13e0e8c5bc17c1a5dd300).
-"""
+⚠️ Many of the top models were trained on unintentionally contaminated, AI-generated data, for more information, see this [gist](https://gist.github.com/natolambert/1aed306000c13e0e8c5bc17c1a5dd300)."""