Update README.md

README.md

@@ -3,9 +3,17 @@ language: en
 license: apache-2.0
 ---
 
+# Model Card for distilroberta-base-climate-f 
+
+## Model Description
+
+This is the ClimateBERT language model based on the FULL-SELECT sample selection strategy.
+
+Note: *We generally recommend choosing this language model over those based on the other sample selection strategies (unless you have good reasons not to).*
+
 Using the [DistilRoBERTa](https://huggingface.co/distilroberta-base) model as starting point, the ClimateBERT Language Model is additionally pretrained on a text corpus comprising climate-related research paper abstracts, corporate and general news and reports from companies. The underlying methodology can be found in our [language model research paper](https://arxiv.org/abs/2110.12010).
 
-### Climate performance model card
+## Climate performance card
 
 | distilroberta-base-climate-f                                             |                |
 |--------------------------------------------------------------------------|----------------|
@@ -21,7 +29,7 @@ Using the [DistilRoBERTa](https://huggingface.co/distilroberta-base) model as st
 | 10. Which positive environmental impact can be expected from this work?  | This work can be categorized as a building block tools following Jin et al (2021). It supports the training of NLP models in the field of climate change and, thereby, have a positive environmental impact in the future. |
 | 11. Comments                                                             | Block pruning could decrease CO2eq emissions |
 
-### BibTeX entry and citation info
+### Citation Information
 
 ```bibtex
 @article{wkbl2021,