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results
inginjadibuparto/results
results is a image classification model from inginjadibuparto. 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
- Feb 24, 2025
- Updated
- Feb 24, 2025
- SHA
- 8eb9ede5
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. -->
results
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 1.4603
- Accuracy: 0.4562
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.2036 | 1.0 | 10 | 1.5604 | 0.425 |
| 1.007 | 2.0 | 20 | 1.4904 | 0.4313 |
| 0.8453 | 3.0 | 30 | 1.4603 | 0.4625 |
| 0.6992 | 4.0 | 40 | 1.4409 | 0.4562 |
| 0.5703 | 5.0 | 50 | 1.4206 | 0.4688 |
| 0.4656 | 6.0 | 60 | 1.4128 | 0.4625 |
| 0.3896 | 7.0 | 70 | 1.4181 | 0.4625 |
| 0.3274 | 8.0 | 80 | 1.4162 | 0.475 |
| 0.2839 | 9.0 | 90 | 1.4199 | 0.45 |
| 0.2512 | 10.0 | 100 | 1.4261 | 0.4625 |
| 0.2278 | 11.0 | 110 | 1.4347 | 0.4625 |
| 0.2106 | 12.0 | 120 | 1.4319 | 0.4688 |
| 0.1973 | 13.0 | 130 | 1.4400 | 0.4688 |
| 0.1874 | 14.0 | 140 | 1.4453 | 0.4625 |
| 0.1797 | 15.0 | 150 | 1.4488 | 0.4562 |
| 0.1738 | 16.0 | 160 | 1.4542 | 0.4562 |
| 0.1693 | 17.0 | 170 | 1.4592 | 0.4625 |
| 0.166 | 18.0 | 180 | 1.4602 | 0.4562 |
| 0.1638 | 19.0 | 190 | 1.4607 | 0.4562 |
| 0.1627 | 20.0 | 200 | 1.4603 | 0.4562 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Feb 24, 2025
- Updated
- Feb 24, 2025