Update README.md

README.md

@@ -20,9 +20,6 @@ This repositories contains two models:
 
 For a full description on how to utilize our end-to-end pipeline we point you towards our [GitHub](https://github.com/ieeta-pt/BioNExt) repository. 
 
-## Model Details
-
-### Model Description
 
 - **Developed by:** IEETA
 - **Model type:** BERT Base
@@ -51,16 +48,15 @@ Note we do not take any liability for the use of the model in any professional/m
 
 Please refer to our GitHub repository for more information on our end-to-end inference pipeline: [IEETA BioNExt GitHub](https://github.com/ieeta-pt/BioNExt)
 
-## Training Details
 
-### Training Data
+## Training Data
 
 The training data utilized was the BioRED corpus, wihtin the scope of the BioCreative-VIII challenge.
 
 Ling Luo, Po-Ting Lai, Chih-Hsuan Wei, Cecilia N Arighi, Zhiyong Lu, BioRED: a rich biomedical relation extraction dataset, Briefings in Bioinformatics, Volume 23, Issue 5, September 2022, bbac282, https://doi.org/10.1093/bib/bbac282
 
 
-### Results
+## Results
 
 As evaluated as an end to end system, our results are as follows:
 - **Tagger**: 43.10