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image_classification
friscaoctaviyana/image_classification
image_classification is a image classification model from friscaoctaviyana. 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
- Mar 3, 2025
- SHA
- 7954047b
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. -->
image_classification
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: 1.1140
- Accuracy: 0.6125
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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 40
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.9952 | 1.0 | 10 | 2.0130 | 0.3063 |
| 1.9609 | 2.0 | 20 | 1.9619 | 0.3563 |
| 1.8939 | 3.0 | 30 | 1.8425 | 0.4188 |
| 1.7588 | 4.0 | 40 | 1.6837 | 0.45 |
| 1.6045 | 5.0 | 50 | 1.5389 | 0.4688 |
| 1.4959 | 6.0 | 60 | 1.4618 | 0.5062 |
| 1.3876 | 7.0 | 70 | 1.3693 | 0.5375 |
| 1.295 | 8.0 | 80 | 1.3286 | 0.575 |
| 1.2328 | 9.0 | 90 | 1.3112 | 0.5563 |
| 1.1447 | 10.0 | 100 | 1.2627 | 0.5813 |
| 1.0791 | 11.0 | 110 | 1.2462 | 0.5813 |
| 1.0378 | 12.0 | 120 | 1.2410 | 0.6 |
| 1.0013 | 13.0 | 130 | 1.2353 | 0.5687 |
| 0.9512 | 14.0 | 140 | 1.2324 | 0.5625 |
| 0.8505 | 15.0 | 150 | 1.2216 | 0.575 |
| 0.8193 | 16.0 | 160 | 1.2061 | 0.6 |
| 0.7379 | 17.0 | 170 | 1.1829 | 0.5563 |
| 0.7133 | 18.0 | 180 | 1.2131 | 0.5625 |
| 0.6582 | 19.0 | 190 | 1.1882 | 0.5625 |
| 0.6663 | 20.0 | 200 | 1.0910 | 0.6188 |
| 0.589 | 21.0 | 210 | 1.1769 | 0.5687 |
| 0.5865 | 22.0 | 220 | 1.1242 | 0.6375 |
| 0.5336 | 23.0 | 230 | 1.1933 | 0.5375 |
| 0.5168 | 24.0 | 240 | 1.1956 | 0.575 |
| 0.4937 | 25.0 | 250 | 1.1943 | 0.6 |
| 0.487 | 26.0 | 260 | 1.1298 | 0.575 |
| 0.4582 | 27.0 | 270 | 1.1004 | 0.6312 |
| 0.4611 | 28.0 | 280 | 1.1108 | 0.5875 |
| 0.4386 | 29.0 | 290 | 1.2242 | 0.5813 |
| 0.4255 | 30.0 | 300 | 1.1560 | 0.5875 |
| 0.4136 | 31.0 | 310 | 1.2545 | 0.5437 |
| 0.4204 | 32.0 | 320 | 1.1661 | 0.6125 |
| 0.3959 | 33.0 | 330 | 1.1248 | 0.5875 |
| 0.3661 | 34.0 | 340 | 1.1475 | 0.6062 |
| 0.3603 | 35.0 | 350 | 1.1463 | 0.6125 |
| 0.3617 | 36.0 | 360 | 1.2161 | 0.5563 |
| 0.3761 | 37.0 | 370 | 1.2575 | 0.5312 |
| 0.3452 | 38.0 | 380 | 1.1720 | 0.575 |
| 0.3665 | 39.0 | 390 | 1.1165 | 0.6 |
| 0.3471 | 40.0 | 400 | 1.2233 | 0.5375 |
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
- Mar 3, 2025