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vit-base-patch16-224-ve-U14-b-24
Augusto777/vit-base-patch16-224-ve-U14-b-24
vit-base-patch16-224-ve-U14-b-24 is a image classification model from Augusto777. 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
- Jun 12, 2024
- Updated
- Jun 12, 2024
- SHA
- a0f8e331
Base models
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-patch16-224-ve-U14-b-24
This model is a fine-tuned version of google/vit-base-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.6698
- Accuracy: 0.8478
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: 5.5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 24
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.97 | 7 | 1.3673 | 0.4783 |
| 1.3789 | 1.93 | 14 | 1.2760 | 0.5435 |
| 1.2878 | 2.9 | 21 | 1.1732 | 0.5435 |
| 1.2878 | 4.0 | 29 | 1.0471 | 0.5435 |
| 1.128 | 4.97 | 36 | 0.9960 | 0.5435 |
| 0.9873 | 5.93 | 43 | 0.8939 | 0.6304 |
| 0.8611 | 6.9 | 50 | 0.8650 | 0.6087 |
| 0.8611 | 8.0 | 58 | 0.8442 | 0.6304 |
| 0.7397 | 8.97 | 65 | 0.7331 | 0.7174 |
| 0.6326 | 9.93 | 72 | 0.6698 | 0.8478 |
| 0.6326 | 10.9 | 79 | 0.7430 | 0.7391 |
| 0.5424 | 12.0 | 87 | 0.7030 | 0.7609 |
| 0.4687 | 12.97 | 94 | 0.6352 | 0.8043 |
| 0.404 | 13.93 | 101 | 0.5498 | 0.8043 |
| 0.404 | 14.9 | 108 | 0.5631 | 0.8043 |
| 0.3244 | 16.0 | 116 | 0.5706 | 0.8261 |
| 0.305 | 16.97 | 123 | 0.6010 | 0.8043 |
| 0.2819 | 17.93 | 130 | 0.5845 | 0.7826 |
| 0.2819 | 18.9 | 137 | 0.5594 | 0.8043 |
| 0.2487 | 20.0 | 145 | 0.5567 | 0.8043 |
| 0.2297 | 20.97 | 152 | 0.5489 | 0.8043 |
| 0.2297 | 21.93 | 159 | 0.5556 | 0.7826 |
| 0.2177 | 22.9 | 166 | 0.5519 | 0.8043 |
| 0.2177 | 23.17 | 168 | 0.5515 | 0.8043 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Jun 12, 2024
- Updated
- Jun 12, 2024