Contributions

app.py

@@ -18,7 +18,7 @@ Hi! This is the demo for the [flax sentence embeddings](https://huggingface.co/f
 We trained three general-purpose flax-sentence-embeddings models: a **distilroberta base**, a **mpnet base** and a **minilm-l6**. 
 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.
+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 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).
 
@@ -29,12 +29,12 @@ You can view our models and datasets [here](https://huggingface.co/flax-sentence
 
 ## Contributions
 
-- 20 performant Sentence Embedding models that can be utilized for Sentence Simliarity / Asymmetric QA / Search & Clustering.
-- 8 Datasets from Stackexchange and StackOverflow, PAWS, Gender Evaluation uploaded to HuggingFace Hub.
-- Achieve SOTA on multiple general purpose Sentence Similarity evaluation tasks by utilizing large TPU memory to maximize
+- **20 performant Sentence Embedding models** that can be utilized for Sentence Simliarity / Asymmetric QA / Search & Clustering.
+- **8 Datasets** from Stackexchange and StackOverflow, PAWS, Gender Evaluation uploaded to HuggingFace Hub.
+- **Achieve SOTA** on multiple general purpose Sentence Similarity evaluation tasks by utilizing large TPU memory to maximize
  customized Contrastive Loss. [Full Evaluation here](https://docs.google.com/spreadsheets/d/1vXJrIg38cEaKjOG5y4I4PQwAQFUmCkohbViJ9zj_Emg/edit#gid=1809754143).
-- Gender Bias Demonstration that explores inherent bias in general purpose datasets.
-- Search / Clustering Demonstration that showcases real-world use-cases for Sentence Embeddings.
+- **Gender Bias demonstration** that explores inherent bias in general purpose datasets.
+- **Search / Clustering demonstration** that showcases real-world use-cases for Sentence Embeddings.
 
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