vumichien commited on
Commit
e7f45df
1 Parent(s): 41b6938

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +16 -21
README.md CHANGED
@@ -2,31 +2,26 @@
2
  tags:
3
  - fastai
4
  ---
 
 
5
 
6
- # Amazing!
7
-
8
- 🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
9
-
10
- # Some next steps
11
- 1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
12
-
13
- 2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([documentation here](https://huggingface.co/docs/hub/spaces)).
14
-
15
- 3. Join the fastai community on the [Fastai Discord](https://discord.com/invite/YKrxeNn)!
16
-
17
- Greetings fellow fastlearner 🤝! Don't forget to delete this content from your model card.
18
 
 
19
 
20
- ---
21
-
22
 
23
- # Model card
 
24
 
25
- ## Model description
26
- More information needed
27
 
28
- ## Intended uses & limitations
29
- More information needed
 
 
 
 
 
30
 
31
- ## Training and evaluation data
32
- More information needed
 
2
  tags:
3
  - fastai
4
  ---
5
+ ## Model description
6
+ This repo contains the trained model for grapevine leaves image classification
7
 
8
+ Full credits go to [Vu Minh Chien](https://www.linkedin.com/in/vumichien/)
 
 
 
 
 
 
 
 
 
 
 
9
 
10
+ 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
11
 
12
+ ## Intended uses & limitations
13
+ 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
14
 
15
+ ## Training and evaluation data
16
+ ### Training hyperparameters
17
 
18
+ The following hyperparameters were used during training:
 
19
 
20
+ | Hyperparameters | Value |
21
+ | :-- | :-- |
22
+ | name | Adam |
23
+ | learning_rate | e-3 |
24
+ | freeze_epochs| 3 |
25
+ | unfreeze_epochs| 10|
26
+ | training_precision | float16 |
27