Downloads · 30 days
63
1% of all-time downloads
vit-base-food101
eslamxm/vit-base-food101
vit-base-food101 is a image classification model from eslamxm. 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
7.5K
Public
Repo size
1.7 GB
Likes
4
Public
Repo makeup
Click a slice to open those files.
.bin344 MB · 100%
At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- May 19, 2022
- Updated
- Aug 11, 2022
- SHA
- f99f99a0
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-food101-demo-v5
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the food101 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5493
- Accuracy: 0.8539
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.657 | 1.0 | 4735 | 0.9732 | 0.7459 |
| 0.9869 | 2.0 | 9470 | 0.7987 | 0.7884 |
| 0.71 | 3.0 | 14205 | 0.6364 | 0.8311 |
| 0.4961 | 4.0 | 18940 | 0.5595 | 0.8487 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- May 19, 2022
- Updated
- Aug 11, 2022