Downloads · 30 days
2
7% of all-time downloads
rice-classification
nailashfrni/rice-classification
rice-classification is a machine learning model from nailashfrni. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
28
Public
Repo size
63.1 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin31.5 MB · 100%
At a glance
- Library
- transformers
- Model type
- vit
- Access
- Public
- Created
- Oct 3, 2023
- Updated
- Oct 4, 2023
- SHA
- 488dcc8c
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
image_classification
This model is a CNN model on the rice dataset to classify rice into 5 classes (Arborio, Basmati, Ipsala, Jasmine and Karacadag). It achieves the following results on the evaluation set:
- Loss: 0.0116
- Accuracy: 0.9768
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- optimizer: Adam
- num_epochs: 5
Training results
| Epoch | Loss | Accuracy |
|---|---|---|
| 1.0 | 0.0510 | 0.9363 |
| 2.0 | 0.0099 | 0.9695 |
| 3.0 | 0.5962 | 0.9767 |
| 4.0 | 0.4232 | 0.9828 |
| 5.0 | 0.0011 | 0.9859 |
- Library
- transformers
- Type
- vit
- Created
- Oct 3, 2023
- Updated
- Oct 4, 2023