Update README.md

README.md

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   emissions: 1.3038362907488008
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-## Validation Metrics
+# 🌳 Tree Condition Classification 樹況分類 (bilingual)
+### Model Description
+This online application covers 22 most typical tree disease over 290+ images. If you find any trees that has hidden injures, you can classifies with our model and report the tree condition via this form (https://rb.gy/c1sfja). 此在線程式涵蓋22種官方部門樹況分類的標準，超過290張圖像。如果您發現任何樹木有隱傷，您可以使用我們的模型進行分類並通過此表格報告樹木狀況。 
 
-- Loss: 1.314
-- Accuracy: 0.537
-- Macro F1: 0.462
-- Micro F1: 0.537
-- Weighted F1: 0.515
-- Macro Precision: 0.461
-- Micro Precision: 0.537
-- Weighted Precision: 0.524
-- Macro Recall: 0.492
-- Micro Recall: 0.537
-- Weighted Recall: 0.537
+- **Developed by:** Yu Kai Him Otto 
+- **Shared via:** Huggingface.co
+- **Model type:** Opensource
+
+## Uses
+You can use the this model for tree condition image classification. 
+
+## Training Details
+### Training Data
+
+- Loss: 0.355
+- Accuracy: 0.852
+- Macro F1: 0.787
+- Micro F1: 0.852
+- Weighted F1: 0.825
+- Macro Precision: 0.808
+- Micro Precision: 0.852
+- Weighted Precision: 0.854
+- Macro Recall: 0.811
+- Micro Recall: 0.852
+- Weighted Recall: 0.852