Update README.md

README.md

@@ -29,7 +29,9 @@ NASA GeneLab VisionTransformer on BPS Microscopy Data
 [Sylvain Costes](https://www.nasa.gov/people/sylvain-costes/), NASA Ames Resarch Center<br>
 
 ## General:
-This Vision Transformer model has been fine-tuned on BPS Microscopy data. The images used are available here:
+
+This Vision Transformer model has been fine-tuned on BPS Microscopy data. We are currently working on an expansive optimisation and evaluation framework. 
+The images used are available here:
 [Biological and Physical Sciences (BPS) Microscopy Benchmark Training Dataset](https://registry.opendata.aws/bps_microscopy/) or as a Huggingface dataset here:
 [kenobi/GeneLab_BPS_BenchmarkData](https://huggingface.co/datasets/kenobi/GeneLab_BPS_BenchmarkData).
 This is a Vision Transformer model trained on Fluorescence microscopy images of individual nuclei from mouse fibroblast cells,
@@ -53,9 +55,9 @@ We will include more technical details here soon.
 ![](images/XRay_irradiated_Nuclei.png)
 ![Right-click on this link (not the picture seen above) use 'save as'](https://roosevelt.devron-systems.com/HF/P278_73668090728-A7_003_027_proj.tif)
 
-## ViT base training data
+## ViT base training data (currently being replaced)
 The ViT model was pretrained on a dataset consisting of 14 million images and 21k classes ([ImageNet-21k](http://www.image-net.org/).
-More information on the base model used can be found here: (https://huggingface.co/google/vit-base-patch16-224-in21k)
+More information on the base model used can be found here: (https://huggingface.co/google/vit-base-patch16-224-in21k);
 
 ## How to use this Model 
 (quick snippets to work on Google Colab)