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vit-base-beans-demo-v5
sai17/vit-base-beans-demo-v5
vit-base-beans-demo-v5 is a image classification model from sai17. 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
- Sep 4, 2024
- Updated
- Sep 4, 2024
- SHA
- 846fe87f
Base models
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-demo-v5
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.3663
- Accuracy: 0.4856
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 |
|---|---|---|---|---|
| 2.4389 | 0.1894 | 100 | 2.5163 | 0.4748 |
| 2.1742 | 0.3788 | 200 | 2.4580 | 0.4802 |
| 2.1934 | 0.5682 | 300 | 2.4167 | 0.4836 |
| 2.4634 | 0.7576 | 400 | 2.4232 | 0.4789 |
| 2.5892 | 0.9470 | 500 | 2.4008 | 0.4829 |
| 2.3142 | 1.1364 | 600 | 2.3910 | 0.4849 |
| 2.6178 | 1.3258 | 700 | 2.3910 | 0.4849 |
| 2.5871 | 1.5152 | 800 | 2.3954 | 0.4856 |
| 2.5426 | 1.7045 | 900 | 2.3848 | 0.4856 |
| 2.077 | 1.8939 | 1000 | 2.3795 | 0.4849 |
| 2.3489 | 2.0833 | 1100 | 2.3777 | 0.4849 |
| 2.6511 | 2.2727 | 1200 | 2.3717 | 0.4856 |
| 2.4127 | 2.4621 | 1300 | 2.3727 | 0.4856 |
| 2.4054 | 2.6515 | 1400 | 2.3753 | 0.4849 |
| 2.628 | 2.8409 | 1500 | 2.3736 | 0.4856 |
| 2.5406 | 3.0303 | 1600 | 2.3688 | 0.4856 |
| 2.4249 | 3.2197 | 1700 | 2.3726 | 0.4856 |
| 2.3137 | 3.4091 | 1800 | 2.3719 | 0.4856 |
| 2.4248 | 3.5985 | 1900 | 2.3667 | 0.4856 |
| 2.0676 | 3.7879 | 2000 | 2.3666 | 0.4856 |
| 2.2021 | 3.9773 | 2100 | 2.3663 | 0.4856 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Sep 4, 2024
- Updated
- Sep 4, 2024