Update README.md

README.md

@@ -30,22 +30,24 @@ should probably proofread and complete it, then remove this comment. -->
 
 # architectural_styles_classifier
 
-This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the imagefolder dataset.
+This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the Architectural styles dataset, retrieved from https://www.kaggle.com/datasets/dumitrux/architectural-styles-dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.9412
 - Accuracy: 0.7223
 
 ## Model description
 
-More information needed
+Presentation about the model: https://www.canva.com/design/DAGLBMAs1K4/d8qvLN2nchSYVmnrwYzx0w/edit?utm_content=DAGLBMAs1K4&utm_campaign=designshare&utm_medium=link2&utm_source=sharebutton
+
+You can try the model from Huggingface Space this link: https://huggingface.co/spaces/hanslab37/technospire
 
 ## Intended uses & limitations
 
-More information needed
+The model were developed as part of experiment to learn about training a model and developing Image Classification model with Gradio in Huggingface. You can use it for experiment only. Not recommended for daily use.
 
 ## Training and evaluation data
 
-More information needed
+https://www.kaggle.com/datasets/dumitrux/architectural-styles-dataset
 
 ## Training procedure