Adding Evaluation Results

README.md

@@ -1,14 +1,14 @@
 ---
 license: apache-2.0
-base_model: teknium/OpenHermes-2.5-Mistral-7B
 tags:
 - generated_from_trainer
-model-index:
-- name: qlora-out
-  results: []
 datasets:
 - winglian/no_robots_rlhf
 - HuggingFaceH4/no_robots
+base_model: teknium/OpenHermes-2.5-Mistral-7B
+model-index:
+- name: qlora-out
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -46,4 +46,17 @@ The following hyperparameters were used during training:
 - Transformers 4.35.2
 - Pytorch 2.0.1+cu118
 - Datasets 2.15.0
-- Tokenizers 0.15.0
+- Tokenizers 0.15.0
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_openaccess-ai-collective__openhermes-2_5-dpo-no-robots)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |66.40|
+|AI2 Reasoning Challenge (25-Shot)|64.93|
+|HellaSwag (10-Shot)              |84.30|
+|MMLU (5-Shot)                    |63.86|
+|TruthfulQA (0-shot)              |52.12|
+|Winogrande (5-shot)              |77.90|
+|GSM8k (5-shot)                   |55.27|
+