Update README.md

README.md

@@ -15,20 +15,6 @@ Ma-layala-mba is a state-of-the-art S6 SSM model specifically crafted for Indic
 - **License**: GNU General Public License v3.0
 - **Training Precision**: bfloat16
 
-## Benchmark Results
-
-Benchmarking was performed using LLM-Autoeval on an RTX 3090 on Runpod.
-
-| Benchmark           | Llama 2 Chat | Tamil Llama v0.2 Instruct | Telugu Llama Instruct | Ma-layala-mba |
-|---------------------|--------------|---------------------------|-----------------------|---------------|
-| ARC Challenge (25-shot) | 52.9         | 53.75                     | 52.47                 | 54.20         |
-| TruthfulQA (0-shot)    | 45.57        | 47.23                     | 48.47                 | 49.00         |
-| Hellaswag (10-shot)    | 78.55        | 76.11                     | 76.13                 | 77.50         |
-| Winogrande (5-shot)    | 71.74        | 73.95                     | 71.74                 | 74.00         |
-| AGI Eval (0-shot)      | 29.3         | 30.95                     | 28.44                 | 31.00         |
-| BigBench (0-shot)      | 32.6         | 33.08                     | 32.99                 | 33.50         |
-| **Average**            | 51.78        | 52.51                     | 51.71                 | 52.70         |
-
 ## Example Usage
 
 Here's a quick example to get you started with the Ma-layala-mba model:
@@ -74,10 +60,4 @@ Please be aware that this model has not undergone comprehensive detoxification o
 
 Get to know the creators behind Ma-layala-mba and follow their work:
 
-- **Alosh Denny**
-
-We hope Ma-layala-mba proves to be a valuable tool in your NLP projects and contributes significantly to the advancement of Indic language models.
-
----
-
-Feel free to modify any sections to better suit your specific model details or additional features!
+- **Alosh Denny**