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WS800_ViT_42895082
alirzb/WS800_ViT_42895082
WS800_ViT_42895082 is a image classification model from alirzb. 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
- Jan 14, 2024
- Updated
- Jan 14, 2024
- SHA
- 2fc5a8ac
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. -->
WS800_ViT_42895082
This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0776
- Accuracy: 0.9875
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 5 | 0.6859 | 0.925 |
| No log | 2.0 | 10 | 0.6328 | 0.975 |
| No log | 3.0 | 15 | 0.5301 | 0.975 |
| No log | 4.0 | 20 | 0.4404 | 0.9625 |
| No log | 5.0 | 25 | 0.3480 | 0.975 |
| No log | 6.0 | 30 | 0.2758 | 0.975 |
| No log | 7.0 | 35 | 0.2179 | 0.9875 |
| No log | 8.0 | 40 | 0.1789 | 0.9875 |
| No log | 9.0 | 45 | 0.1505 | 0.9875 |
| 0.3788 | 10.0 | 50 | 0.1296 | 0.9875 |
| 0.3788 | 11.0 | 55 | 0.1145 | 0.9875 |
| 0.3788 | 12.0 | 60 | 0.1034 | 0.9875 |
| 0.3788 | 13.0 | 65 | 0.0954 | 0.9875 |
| 0.3788 | 14.0 | 70 | 0.0895 | 0.9875 |
| 0.3788 | 15.0 | 75 | 0.0853 | 0.9875 |
| 0.3788 | 16.0 | 80 | 0.0822 | 0.9875 |
| 0.3788 | 17.0 | 85 | 0.0801 | 0.9875 |
| 0.3788 | 18.0 | 90 | 0.0787 | 0.9875 |
| 0.3788 | 19.0 | 95 | 0.0779 | 0.9875 |
| 0.0547 | 20.0 | 100 | 0.0776 | 0.9875 |
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
- Jan 14, 2024
- Updated
- Jan 14, 2024