Update README.md

README.md

@@ -18,26 +18,28 @@ model = AutoModelForCausalLM.from_pretrained("princeton-nlp/Sheared-LLaMA-1.3B")
 
 We evaluate on an extensive set of downstream tasks including reasoning, reading comprehension, language modeling and knowledge intensive tasks. Our Sheared-LLaMA models outperform existing large language models. 
 
-| Model | # Pre-training Tokens | Average Performance |
-| --- | --- | --- |
-| LLaMA2-7B | 2T | 64.6 |
+| Model               | # Pre-training Tokens | Average Performance |
+| ------------------- | --------------------- | ------------------- |
+| LLaMA2-7B           | 2T                    | 64.6                |
 
 **1.3B**
 
-| OPT-1.3B | 300B | 48.2 |
-| --- | --- | --- |
-| Pythia-1.4B | 300B | 48.9 |
-| Sheared-LLaMA-1.3B | 50B | 51.0 |
+| Model               | # Pre-training Tokens | Average Performance |
+| ------------------- | --------------------- | ------------------- |
+| OPT-1.3B            | 300B                  | 48.2                |
+| Pythia-1.4B         | 300B                  | 48.9                |
+| **Sheared-LLaMA-1.3B**  | **50B**                   | **51.0**                |
 
 **3B**
 
-| OPT-2.7B | 300B | 51.4 |
-| --- | --- | --- |
-| Pythia-2.8B | 300B | 52.5 |
-| INCITE-Base-3B | 800B | 54.7 |
-| Open-LLaMA-3B-v1 | 1T | 55.1 |
-| Open-LLaMA-3B-v2 | 1T | 55.7 |
-| Sheared-LLaMA-2.7B | 50B | 56.7 |
+| Model               | # Pre-training Tokens | Average Performance |
+| ------------------- | --------------------- | ------------------- |
+| OPT-2.7B            | 300B                  | 51.4                |
+| Pythia-2.8B         | 300B                  | 52.5                |
+| INCITE-Base-3B      | 800B                  | 54.7                |
+| Open-LLaMA-3B-v1    | 1T                    | 55.1                |
+| Open-LLaMA-3B-v2    | 1T                    | 55.7                |
+| Sheared-LLaMA-2.7B  | 50B                   | 56.7                |
 
 ## Bibtex
 ```