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image_classification
nathanaelvw/image_classification
image_classification is a machine learning model from nathanaelvw. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Sep 3, 2024
- Updated
- Sep 6, 2024
- SHA
- b3656ad4
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 nathanaelvw/image_classification on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 1.4983
- Accuracy: 0.5062
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.6309 | 1.0 | 20 | 1.7392 | 0.4375 |
| 1.6329 | 2.0 | 40 | 1.7210 | 0.4437 |
| 1.6151 | 3.0 | 60 | 1.7045 | 0.4625 |
| 1.5724 | 4.0 | 80 | 1.6784 | 0.4 |
| 1.514 | 5.0 | 100 | 1.6341 | 0.4188 |
| 1.5115 | 6.0 | 120 | 1.6069 | 0.5 |
| 1.4803 | 7.0 | 140 | 1.5779 | 0.4938 |
| 1.4209 | 8.0 | 160 | 1.5963 | 0.4313 |
| 1.4094 | 9.0 | 180 | 1.5536 | 0.475 |
| 1.3915 | 10.0 | 200 | 1.5183 | 0.5 |
| 1.3404 | 11.0 | 220 | 1.5237 | 0.4813 |
| 1.3488 | 12.0 | 240 | 1.5148 | 0.4625 |
| 1.3061 | 13.0 | 260 | 1.4860 | 0.5312 |
| 1.2829 | 14.0 | 280 | 1.4801 | 0.4875 |
| 1.2322 | 15.0 | 300 | 1.4922 | 0.4813 |
| 1.2572 | 16.0 | 320 | 1.5054 | 0.4938 |
| 1.2308 | 17.0 | 340 | 1.4647 | 0.5 |
| 1.2364 | 18.0 | 360 | 1.4809 | 0.4625 |
| 1.2389 | 19.0 | 380 | 1.4798 | 0.4813 |
| 1.2551 | 20.0 | 400 | 1.4617 | 0.5125 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- vit
- License
- apache-2.0
- Created
- Sep 3, 2024
- Updated
- Sep 6, 2024