Update README.md

README.md

@@ -7,12 +7,23 @@ tags:
 - aerial image
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-#pretrained model : 
-SegFormer (b0-sized) encoder pre-trained-only
-SegFormer encoder fine-tuned on Imagenet-1k. It was introduced in the paper SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers by Xie et al. and first released in this repository.
+# pretrained model
 
-Disclaimer: The team releasing SegFormer did not write a model card for this model so this model card has been written by the Hugging Face team.
+- https://huggingface.co/nvidia/mit-b0
+- SegFormer (b0-sized) encoder pre-trained-only
+- SegFormer encoder fine-tuned on Imagenet-1k. It was introduced in the paper SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers by Xie et al. and first released in this repository.
 
 
-#data
-you can fine the training set here : https://codalab.lisn.upsaclay.fr/competitions/8769
+# training-set
+- you can find the training-set here : https://codalab.lisn.upsaclay.fr/competitions/8769
+
+# training-arguments
+- channels : rgb
+- batch : 8
+- epochs : 8
+- learning-rate : 5e-6
+- GPU : T4
+
+# results on test-set
+- Mean IoU : 59.9 
+- more information here : https://codalab.lisn.upsaclay.fr/competitions/8769