Downloads · 30 days
7
1% of all-time downloads
vit-base-beans
stlxx/vit-base-beans
vit-base-beans is a image classification model from stlxx. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
535
Public
Repo size
1.9 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.0239 KB · 72%
At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Jun 28, 2023
- Updated
- Jul 5, 2023
- SHA
- cfab7ab7
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. -->
vit-base-beans
This model is a fine-tuned version of google/vit-huge-patch14-224-in21k on the beans dataset. It achieves the following results on the evaluation set:
- Loss: 0.9760
- Accuracy: 0.8195
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0596 | 1.0 | 259 | 1.0507 | 0.7143 |
| 1.0165 | 2.0 | 518 | 1.0165 | 0.7895 |
| 1.0113 | 3.0 | 777 | 0.9941 | 0.8045 |
| 1.0067 | 4.0 | 1036 | 0.9804 | 0.8195 |
| 0.9746 | 5.0 | 1295 | 0.9760 | 0.8195 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 1.13.1+cu117-with-pypi-cudnn
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Jun 28, 2023
- Updated
- Jul 5, 2023