Adding Evaluation Results

README.md

@@ -1,5 +1,7 @@
 ---
-base_model: NousResearch/Llama-2-13b-hf
+language:
+- en
+license: mit
 tags:
 - llama-2
 - instruct
@@ -8,14 +10,12 @@ tags:
 - gpt4
 - synthetic data
 - distillation
+base_model: NousResearch/Llama-2-13b-hf
 datasets:
 - teknium/openhermes
 model-index:
 - name: openhermes-13b
   results: []
-license: mit
-language:
-- en
 ---
 
 # OpenHermes-13B
@@ -155,4 +155,17 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_steps: 300
-- num_epochs: 3
+- num_epochs: 3
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/teknium__OpenHermes-13B-details)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |12.18|
+|IFEval (0-Shot)    |26.68|
+|BBH (3-Shot)       |18.21|
+|MATH Lvl 5 (4-Shot)| 1.21|
+|GPQA (0-shot)      | 3.02|
+|MuSR (0-shot)      | 8.53|
+|MMLU-PRO (5-shot)  |15.44|
+