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vit-base-beans
nateraw/vit-base-beans
vit-base-beans is a image classification model from nateraw. 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. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Dec 6, 2022
- SHA
- 41f85ace
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-base-patch16-224-in21k on the beans dataset. It achieves the following results on the evaluation set:
- Loss: 0.0942
- Accuracy: 0.9774
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|
| 0.2809 | 1.0 | 130 | 0.2287 | 0.9699 |
| 0.1097 | 2.0 | 260 | 0.1676 | 0.9624 |
| 0.1027 | 3.0 | 390 | 0.0942 | 0.9774 |
| 0.0923 | 4.0 | 520 | 0.1104 | 0.9699 |
| 0.1726 | 5.0 | 650 | 0.1030 | 0.9699 |
Framework versions
- Transformers 4.10.0.dev0
- Pytorch 1.9.0+cu102
- Datasets 1.11.1.dev0
- Tokenizers 0.10.3
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Languages
- en
- Created
- Mar 2, 2022
- Updated
- Dec 6, 2022