Update README.md

README.md

@@ -1,3 +1,54 @@
 ---
+language: en
+tags:
+- science
+- multi-disciplinary
 license: apache-2.0
 ---
+
+# ScholarBERT_100 Model
+
+This is the **ScholarBERT_100_64bit** variant of the ScholarBERT model family. The difference between this variant and the **ScholarBERT_100** model is that its tokenizer 
+is trained with `int64` rather than the default `int32`, so the count of very frequent tokens (e.g., "the") does not overflow.
+
+The model is pretrained on a large collection of scientific research articles (**221B tokens**).
+
+This is a **cased** (case-sensitive) model. The tokenizer will not convert all inputs to lower-case by default.
+
+The model is based on the same architecture as [BERT-large](https://huggingface.co/bert-large-cased) and has a total of 340M parameters.
+
+
+# Model Architecture
+
+| Hyperparameter  | Value |
+|-----------------|:-------:|
+| Layers     | 24    |
+| Hidden Size     | 1024  |
+| Attention Heads | 16    |
+| Total Parameters | 340M |
+
+
+# Training Dataset
+
+The vocab and the model are pertrained on **100% of the PRD** scientific literature dataset.
+ 
+The PRD dataset is provided by Public.Resource.Org, Inc. (“Public Resource”), 
+a nonprofit organization based in California. This dataset was constructed from a corpus
+of journal article files, from which We successfully extracted text from 75,496,055 articles from 178,928 journals.
+The articles span across Arts & Humanities, Life Sciences & Biomedicine, Physical Sciences,
+Social Sciences, and Technology. The distribution of articles is shown below.
+
+![corpus pie chart](corpus_pie_chart.png)
+
+
+# BibTeX entry and citation info
+If using this model, please cite this paper:
+```
+@inproceedings{hong2023diminishing,
+  title={The diminishing returns of masked language models to science},
+  author={Hong, Zhi and Ajith, Aswathy and Pauloski, James and Duede, Eamon and Chard, Kyle and Foster, Ian},
+  booktitle={Findings of the Association for Computational Linguistics: ACL 2023},
+  pages={1270--1283},
+  year={2023}
+}
+```