Update README.md

README.md

@@ -14,7 +14,7 @@ license: apache-2.0
 base_model: intfloat/multilingual-e5-large
 ---
 
-# SetFit
+# TwinTransitionMapper_Green
 
 This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification.
 
@@ -23,7 +23,7 @@ The model has been trained on paragraphs from German company websites using an e
 1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
 2. Training a classification head with features from the fine-tuned Sentence Transformer.
 
-The model is designed to predict the AI capabilities of German companies based on their website texts. It is intended to be used in conjunction with the [TwinTransitionMapper_AI](https://huggingface.co/LKriesch/TwinTransitionMapper_AI) model to identify companies contributing to the twin transition in Germany. For detailed information on the fine-tuning process and the results of these models, please refer to: [LINK TO WORKING PAPER]
+The model is designed to predict the clean technology capabilities of German companies based on their website texts. It is intended to be used in conjunction with the [TwinTransitionMapper_AI](https://huggingface.co/LKriesch/TwinTransitionMapper_AI) model to identify companies contributing to the twin transition in Germany. For detailed information on the fine-tuning process and the results of these models, please refer to: [LINK TO WORKING PAPER]
 
 ### Model Description
 - **Model Type:** SetFit