Update README.md

README.md

@@ -12,13 +12,17 @@ datasets:
 palmer is a series of ~1b parameters language models fine-tuned to be used as base models instead of using custom prompts for tasks. This means that it can be further fine-tuned on more data with custom prompts as usual or be used for downstream tasks as any base model you can get. The model has the best of both worlds: some "bias" to act as an assistant, but also the abillity to predict the next-word from its internet knowledge base. It's a 1.1b llama 2 model so you can use it with your favorite tools/frameworks.
 
 ### evaluation
-|Model|	ARC_C|	HellaSwag|	PIQA|	Winogrande|
-|------|-----|-----------|------|-------------|
-|tinyllama-2  |	0.2807   |0.5463|	0.7067  | 0.5683|
-|palmer-001   |	0.2807   |0.5524|	0.7106  | 0.5896|
-|tinyllama-2.5| 0.3191   |0.5896|	0.7307  | 0.5872|
-|tinyllama-3  | 0.3029   |0.5935|   0.7329  | **0.5959**|
-|palmer-002|**0.3242**|**0.5956**|**0.7345**| 0.5888|
+```
+	               ARC_C   HellaSwag  PIQA  Winogrande Average
+tinyllama-2      | 0.2807 | 0.5463 | 0.7067 | 0.5683 | 0.5255 |
+palmer-001	     | 0.2807 | 0.5524 | 0.7106 | 0.5896 | 0.5333 |
+babbage-001      | 0.2944 | 0.5448 | 0.7410 | 0.5935 | 0.5434 |
+deacon-1b        | 0.2944 | 0.5727 | 0.7040 | 0.5801 | 0.5434 |
+tinyllama-3      | 0.3029 | 0.5935 | 0.7329 | 0.5959 | 0.5563 |
+tinyllama-2.5    | 0.3191 | 0.5896 | 0.7307 | 0.5872 | 0.5566 |
+palmer-002       | 0.3242 | 0.5956 | 0.7345 | 0.5888 | 0.5607 |
+babbage-002      | 0.3285 | 0.6380 | 0.7606 | 0.6085 | 0.5839 |
+```
 
 This model shows exceptional performance and as of now is the best tinyllama-size base model. Furthermore, this proves LIMA paper point and serves as a good open-source alternative to openai's `babbage-002`.