Update README.md

README.md

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 tags:
 - fastai
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+## Model description
+This repo contains the trained model for grapevine leaves image classification
 
-# Amazing!
-
-🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
-
-# Some next steps
-1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
-
-2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([documentation here](https://huggingface.co/docs/hub/spaces)).
-
-3. Join the fastai community on the [Fastai Discord](https://discord.com/invite/YKrxeNn)!
-
-Greetings fellow fastlearner 🤝! Don't forget to delete this content from your model card.
+Full credits go to [Vu Minh Chien](https://www.linkedin.com/in/vumichien/)
 
+Motivation: The main product of grapevines is grapes that are consumed fresh or processed. In addition, grapevine leaves are harvested once a year as a by-product. The species of grapevine leaves are important in terms of price and taste. In this repo, deep learning-based classification is conducted by using images of grapevine leaves
 
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-
+## Intended uses & limitations
+Images of 500 vine leaves belonging to 5 species were taken with a special self-illuminating system. Later, this number was increased to 2500 with data augmentation methods
 
-# Model card
+## Training and evaluation data
+### Training hyperparameters
 
-## Model description
-More information needed
+The following hyperparameters were used during training:
 
-## Intended uses & limitations
-More information needed
+| Hyperparameters | Value |
+| :-- | :-- |
+| name | Adam |
+| learning_rate | e-3 |
+| freeze_epochs| 3 |
+| unfreeze_epochs| 10|
+| training_precision | float16 |
 
-## Training and evaluation data
-More information needed