update README

README.md

@@ -1,7 +1,16 @@
 # Starbucks
 Starbucks: Improved Training for 2D Matryoshka Embeddings
+<p align="center">
+  <img src="Starbucks.png">
+</p>
 
-### General guidelines
+We propose Starbucks: a new 2D MRL fine-tuning and pre-training method.
+
+Starbucks is composed of two key processes: the Starbucks Masked Autoencoding (SMAE) pretraining and the Starbucks Representation Learning (SRL) fine-tuning processes.
+
+In Starbucks, the  model loss is computed based on a limited target list of layer-dimension pairs, ranging from smaller to larger sizes, much like how the coffeehouses chain [Starbucks](https://en.wikipedia.org/wiki/Starbucks) offers coffee in different cup sizes, from Demi to Trenta.
+
+## General guidelines
 Our codebase is built on top of torch and transformers.
 
 We recommend using a conda environment to install the required dependencies.
@@ -22,12 +31,12 @@ For SRL fine-tuning on retrieval task, see [retrieval](retrieval/README.md).
 
 For SRL fine-tuning on STS task, see [sts](sts/README.md).
 
-### Model Checkpoints
+## Model Checkpoints
 
 We released our model checkpoints on Hugging Face Model Hub: 
 
 Pre-trained SMAE: [bert-base-uncased-fineweb100bt-smae](https://huggingface.co/ielabgroup/bert-base-uncased-fineweb100bt-smae)
 
 Fine-tuned Starbucks_STS: [Starbucks_STS](https://huggingface.co/ielabgroup/Starbucks_STS)
 
-Fine-tuned Starbucks_Retrieval: [Starbucks_Retrieval](https://huggingface.co/ielabgroup/Starbucks_Retrieval)
+Fine-tuned Starbucks_Retrieval: [Starbucks-msmarco](https://huggingface.co/ielabgroup/Starbucks-msmarco)