Update README.md

README.md

@@ -13,6 +13,9 @@ license: apache-2.0
 language:
 - en
 library_name: transformers
+metrics:
+- accuracy
+pipeline_tag: text-generation
 ---
 <center><img src='https://i.imgur.com/0xFTuAX.png' width='450px'></center>
 
@@ -34,6 +37,19 @@ The implementation of SLERP involves the following steps:
 
 In essence, SLERP provides a robust mechanism for interpolating vectors, offering advantages in preserving directional information and mitigating issues associated with linear interpolation in high-dimensional spaces.
 
+## Evaluation
+
+The evaluation was performed using the HuggingFace Open LLM Leaderboard.
+
+| Model                                     | Average    | ARC   | HellaSwag | MMLU  | TruthfulQA | Winogrande | GSM8K | #Params (B) |
+|-------------------------------------------|------------|-------|-----------|-------|------------|------------|-------|--------------|
+| **louisbrulenaudet/Pearl-7B-slerp**       |**72.75**   | 68.00 | 87.16     | 64.04 | 62.35      | 81.29      |**73.62**| 7.24         |
+| mistralai/Mixtral-8x7B-Instruct-v0.1      | 72.62      | 70.22 | 87.63     | 71.16 | 64.58      | 81.37      | 60.73 | 46.7         |
+| microsoft/phi-2                           | 61.33      | 61.09 | 75.11     | 58.11 | 44.47      | 74.35      | 54.81 | 2.78         |
+| microsoft/Orca-2-13b                      | 58.64      | 60.67 | 79.81     | 60.37 | 56.41      | 76.64      | 17.97 | 13           |
+| mistralai/Mistral-7B-Instruct-v0.1        | 54.96      | 54.52 | 75.63     | 55.38 | 56.28      | 73.72      | 14.25 | 7.24         |
+| meta-llama/Llama-2-7b-hf                  | 50.97      | 53.07 | 78.59     | 46.87 | 38.76      | 74.03      | 14.48 | 6.74         |
+
 ## Configuration
 
 ```yaml