Update README.md

README.md

@@ -3,11 +3,18 @@
 ### a better base model
 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 llama 2 model so you can use it with your favorite tools/frameworks.
 
-### Training
-Training took ~3.5 P100 gpu hours. It was trained on 15,000 openhermes dataset shuffled samples. palmer was fine-tuned using lower learning rates ensuring it keeps as much general knowledge as possible.
+### evaluation
+|Model|	ARC_C|	HellaSwag|	PIQA|	Winogrande|
+|------|-----|-----------|------|-------------|
+|tinyllama-2t|	0.2807|	0.5463|	0.7067|	0.5683|
+|palmer-001|	0.2807|	0.5524|	0.7106|	0.5896|
+
+
+### training
+Training took ~3.5 P100 gpu hours. It was trained on 15,000 gpt-4 shuffled samples. palmer was fine-tuned using lower learning rates ensuring it keeps as much general knowledge as possible.
 
 Note: highly experimenal yet! Your feedback will make it better.
-### Prompt
+### prompt
 ```
 On this article, we are going to learn
 palmer-001: about the different types of data that are used in the field of data science...