Update README.md

README.md

@@ -6,11 +6,16 @@ datasets:
 - allenai/scirepeval
 ---
 
-# Adapter `allenai/specter2` for allenai/specter2_base
+## SPECTER2
 
-An [adapter](https://adapterhub.ml) for the [allenai/specter2_base](https://huggingface.co/allenai/specter2_base) model that was trained on the [allenai/scirepeval](https://huggingface.co/datasets/allenai/scirepeval/) dataset.
+<!-- Provide a quick summary of what the model is/does. -->
 
-This adapter was created for usage with the **[adapters](https://github.com/adapter-hub/adapters)** library.
+SPECTER2 is a family of models that succeeds [SPECTER](https://huggingface.co/allenai/specter) and is capable of generating task specific embeddings for scientific tasks when paired with [adapters](https://huggingface.co/models?search=allenai/specter-2_).
+Given the combination of title and abstract of a scientific paper or a short texual query, the model can be used to generate effective embeddings to be used in downstream applications.
+
+**Note:For general embedding purposes, please use [allenai/specter2](https://huggingface.co/allenai/specter2).**
+
+**To get the best performance on a downstream task type please load the associated adapter () with the base model as in the example below.**
 
 **Dec 2023 Update:**
 
@@ -27,17 +32,11 @@ Model usage updated to be compatible with latest versions of transformers and ad
 2. **We have a parallel version (termed [aug2023refresh](https://huggingface.co/allenai/specter2_aug2023refresh)) where the base transformer encoder version is pre-trained on a collection of newer papers (published after 2018).
    However, for benchmarking purposes, please continue using the current version.**
 
-## SPECTER2
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-SPECTER2 is the successor to [SPECTER](https://huggingface.co/allenai/specter) and is capable of generating task specific embeddings for scientific tasks when paired with [adapters](https://huggingface.co/models?search=allenai/specter-2_).
-This is the base model to be used along with the adapters.
-Given the combination of title and abstract of a scientific paper or a short texual query, the model can be used to generate effective embeddings to be used in downstream applications.
+# Adapter `allenai/specter2` for allenai/specter2_base
 
-**Note:For general embedding purposes, please use [allenai/specter2](https://huggingface.co/allenai/specter2).**
+An [adapter](https://adapterhub.ml) for the [allenai/specter2_base](https://huggingface.co/allenai/specter2_base) model that was trained on the [allenai/scirepeval](https://huggingface.co/datasets/allenai/scirepeval/) dataset.
 
-**To get the best performance on a downstream task type please load the associated adapter with the base model as in the example below.**
+This adapter was created for usage with the **[adapters](https://github.com/adapter-hub/adapters)** library.
 
 
 ## Usage