Update README.md

README.md

@@ -29,10 +29,13 @@ strings (RASSP, NEIMS) were valid canonical molecules, with 83\% (RASSP), 65\% (
 These results suggest that during the pretraining phase, the model successfully learned molecular structure rules and the relationship between atomic
 weight and m/z values, forming a good foundation for subsequent finetuning.
 
+We suggest to finetune the model further on experimental data (NIST, Wiley) to reach the performance reported in our [preprint]. Though we can not
+make the final model available, since it was finetuned on a proprietary dataset (NIST), you can fine-tune it yourself if you have purchased the license.
+The full code we used for the data processing, finetuning, evaluation, model comparison and more can be found in [our GitHub repository] (TODO).
 
-The full code we used for the data processing, finetuning, evaluation model comparison and more can be found in [our GitHub repository].
-
+Our [preprint] (TODO) provides more information about the task background, the final finetuned model, and the experiments.
 
 [NEIMS]: https://github.com/brain-research/deep-molecular-massspec
 [RASSP]: https://github.com/thejonaslab/rassp-public
-[our GitHub repository]: !TODO!
+[our GitHub repository]: !TODO!
+[preprint]: !TODO!