Update README.md

README.md

@@ -6,17 +6,35 @@ datasets:
 - allenai/scirepeval
 ---
 
-# Adapter `allenai/specter2_aug2023refresh_classification` for `allenai/specter2_aug2023refresh_base`
+## SPECTER2
 
-An [adapter](https://adapterhub.ml) for the `None` 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 **[adapter-transformers](https://github.com/Adapter-Hub/adapter-transformers)** 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:**
 
 Model usage updated to be compatible with latest versions of transformers and adapters (newly released update to adapter-transformers) libraries.
 
 
+**\*\*\*\*\*\*Update\*\*\*\*\*\***
+
+This update introduces a new set of SPECTER 2.0 models with the base transformer encoder pre-trained on an extended citation dataset containing more recent papers.
+For benchmarking purposes please use the existing SPECTER 2.0 models w/o the **aug2023refresh** suffix viz. [allenai/specter2_base](https://huggingface.co/allenai/specter2_base).
+
+
+# Adapter `allenai/specter2_aug2023refresh_classification` for `allenai/specter2_aug2023refresh_base`
+
+An [adapter](https://adapterhub.ml) for the `None` model that was trained on the [allenai/scirepeval](https://huggingface.co/datasets/allenai/scirepeval/) dataset.
+
+This adapter was created for usage with the **[adapter-transformers](https://github.com/Adapter-Hub/adapter-transformers)** library.
+
+
 ## Usage
 
 First, install `adapters`:
@@ -35,20 +53,6 @@ model = AutoAdapterModel.from_pretrained("allenai/specter2_aug2023refresh_base")
 adapter_name = model.load_adapter("allenai/specter2_aug2023refresh_classification", source="hf", set_active=True)
 ```
 
-**\*\*\*\*\*\*Update\*\*\*\*\*\***
-
-This update introduces a new set of SPECTER 2.0 models with the base transformer encoder pre-trained on an extended citation dataset containing more recent papers.
-For benchmarking purposes please use the existing SPECTER 2.0 [models](https://huggingface.co/allenai/specter2) w/o the **aug2023refresh** suffix.
-
-# SPECTER 2.0 (Base)
-SPECTER 2.0 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.
-
-**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.**
-
 # Model Details
 
 ## Model Description