update authors and license

README.md

@@ -3,6 +3,7 @@ language:
 - zh
 tags:
 - SequenceClassification
+- Lepton
 - 古文
 - 文言文
 - ancient
@@ -15,7 +16,7 @@ license: cc-by-nc-sa-4.0
 # <font color="IndianRed"> BertForSequenceClassification model (Classical Chinese) </font>
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1jVu2LrNwkLolItPALKGNjeT6iCfzF8Ic?usp=sharing/)
 
-This BertForSequenceClassification Classical Chinese model is intended to predict whether a Classical Chinese sentence is <font color="IndianRed"> a letter title (书信标题) </font> or not. This model is first inherited from the BERT base Chinese model (MLM), and finetuned using a large corpus of Classical Chinese language (3GB textual dataset), then concatenated with the BertForSequenceClassification architecture to perform a binary classification task. 
+Our model LEPTON (Letter Prediction) is BertForSequenceClassification Classical Chinese model that is intended to predict whether a Classical Chinese sentence is <font color="IndianRed"> a letter title (书信标题) </font> or not. This model is first inherited from the BERT base Chinese model (MLM), and finetuned using a large corpus of Classical Chinese language (3GB textual dataset), then concatenated with the BertForSequenceClassification architecture to perform a binary classification task. 
  * <font color="Salmon"> Labels: 0 = non-letter, 1 = letter </font>
 
 ## <font color="IndianRed"> Model description </font>
@@ -106,4 +107,20 @@ print(f'The predicted class is: {pred_class}')
 ```
 <font color="IndianRed"> Output: </font> The predicted class is: letter
 
-Author: Queenie Luo (queenieluo[at]g.harvard.edu)
+### <font color="IndianRed">Authors </font>
+Queenie Luo (queenieluo[at]g.harvard.edu)
+<br>
+Katherine Enright
+<br>
+Hongsu Wang
+<br>
+Peter Bol
+<br>
+CBDB Group
+
+### <font color="IndianRed">License </font>
+Copyright (c) 2023 CBDB
+
+Except where otherwise noted, content on this repository is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).
+To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ or
+send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.