Update README.md

README.md

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-# Model Card for **Astro-HEP-BERT**
+# Model Card for Astro-HEP-BERT
 
 **Astro-HEP-BERT** is a bidirectional transformer designed primarily to generate contextualized word embeddings for analyzing epistemic change in astrophysics and high-energy physics (<a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.3030/101044932" >NEPI project</a> at TU Berlin). Built upon Google's "bert-base-uncased," the model underwent additional training for three epochs using approximately 21.5 million paragraphs extracted from around 600,000 scholarly articles sourced from arXiv, all pertaining to astrophysics and/or high-energy physics (HEP). The sole training objective was masked language modeling.
 
-For further insights into the model and the corpus, please refer to the Astro-HEP-BERT paper [link coming soon].
+The Astro-HEP-BERT project embodies the spirit of a tabletop experiment or grassroots scientific effort. It exclusively utilized open-source inputs during training, and the entire training process was completed on a single MacBook Pro M2/96GB over a span of 6 weeks for 3 epochs. This project stands as a proof of concept, showcasing the viability of employing a bidirectional transformer for research ventures in the history, philosophy, and sociology of science (HPSS) even with limited financial resources.
+
+For further insights into the model, the corpus, and the underlying research project please refer to the Astro-HEP-BERT paper [link coming soon].
 
 <!-- <a target="_blank" rel="noopener noreferrer" href="">Astro-HEP-BERT paper</a>. -->