Update README.md

README.md

@@ -15,7 +15,7 @@ Released January 11, 2024
 
 ![bagel-burger](bagel-burger.png)
 
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). For more information, kindly refer to the model cards from jondurbin linked in a section below.
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). For more information, kindly refer to the model cards from jondurbin linked in the section below. This model debuted in the [leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) at rank #4 (January 11, 2024).
 
 ## Merge Details
 ### Merge Method
@@ -28,6 +28,25 @@ The following models were included in the merge:
 * [jondurbin/bagel-dpo-34b-v0.2](https://huggingface.co/jondurbin/bagel-dpo-34b-v0.2)
 * [jondurbin/nontoxic-bagel-34b-v0.2](https://huggingface.co/jondurbin/nontoxic-bagel-34b-v0.2)
 
+## Open LLM Leaderboard Metrics (as of January 11, 2024)
+| Metric                | Value |
+|-----------------------|-------|
+| MMLU (5-shot)         | 76.60  |
+| ARC (25-shot)         | 72.70  |
+| HellaSwag (10-shot)   | 85.44  |
+| TruthfulQA (0-shot)   | 71.42  |
+| Winogrande (5-shot)   | 82.72  |
+| GSM8K (5-shot)        | 60.73  |
+| Average               | 74.93  |
+
+According to the leaderboard description, here are the benchmarks used for the evaluation:
+- [MMLU](https://arxiv.org/abs/2009.03300) (5-shot) - a test to measure a text model’s multitask accuracy. The test covers 57 tasks including elementary mathematics, US history, computer science, law, and more.
+- [AI2 Reasoning Challenge](https://arxiv.org/abs/1803.05457) -ARC- (25-shot) - a set of grade-school science questions.
+- [HellaSwag](https://arxiv.org/abs/1905.07830) (10-shot) - a test of commonsense inference, which is easy for humans (~95%) but challenging for SOTA models.
+- [TruthfulQA](https://arxiv.org/abs/2109.07958) (0-shot) - a test to measure a model’s propensity to reproduce falsehoods commonly found online.
+- [Winogrande](https://arxiv.org/abs/1907.10641) (5-shot) - an adversarial and difficult Winograd benchmark at scale, for commonsense reasoning.
+- [GSM8k](https://arxiv.org/abs/2110.14168) (5-shot) - diverse grade school math word problems to measure a model's ability to solve multi-step mathematical reasoning problems.
+
 ### Configuration
 
 The following YAML configuration was used to produce this model: