Update readme

app.py

@@ -6,7 +6,7 @@ from backend import inference
 from backend.config import MODELS_ID, QA_MODELS_ID, SEARCH_MODELS_ID
 from backend.utils import load_gender_data
 
-st.title('Flax-Sentence-Tranformers Demo')
+st.title('Flax-Sentence-Tranformers')
 
 st.sidebar.image("./hf-sbert.jpg", width=300)
 st.sidebar.title('Navigation')
@@ -16,11 +16,11 @@ menu = st.sidebar.radio("", options=["Contributions & Evaluation", "Sentence Sim
 st.markdown('''
 
 Hi! This is the demo for the [flax sentence embeddings](https://huggingface.co/flax-sentence-embeddings) created for the **Flax/JAX community week 🤗**. 
-We trained three general-purpose flax-sentence-embeddings models: a distilroberta base, a mpnet base and a minilm-l6. They were 
-trained using Siamese network configuration with custom **Contrastive Loss** inspired by OpenAI CLIP. The models were trained on a dataset comprising of 
-[1 Billion+ training corpus](https://huggingface.co/flax-sentence-embeddings/all_datasets_v4_MiniLM-L6#training-data) with the v3 setup.
+We trained multiple general-purpose flax-sentence-embeddings models starting from different BERT models including 
+distilroberta, mpnet and MiniLM-l6. They were trained using Siamese network configuration with custom **Contrastive Loss** 
+inspired by OpenAI CLIP. The models were trained on a dataset comprising of [1 Billion+ training corpus](https://huggingface.co/flax-sentence-embeddings/all_datasets_v4_MiniLM-L6#training-data) with the v3 setup.
 
-In addition, we trained [20 models](https://huggingface.co/flax-sentence-embeddings) focused on general-purpose, QuestionAnswering and Code search and **achieved SOTA on multiple benchmarks.**
+We have trained [20 models](https://huggingface.co/flax-sentence-embeddings) focused on general-purpose, QuestionAnswering and Code search and **achieved SOTA on multiple benchmarks.**
 We also uploaded [8 datasets](https://huggingface.co/flax-sentence-embeddings) specialized for Question Answering, Sentence-Similiarity and Gender Evaluation.
 You can view our models and datasets [here](https://huggingface.co/flax-sentence-embeddings).