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vit-base-patch16-224-in21k-finetuned-earlystop
Towen/vit-base-patch16-224-in21k-finetuned-earlystop
vit-base-patch16-224-in21k-finetuned-earlystop is a image classification model from Towen. 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
- Dec 10, 2024
- Updated
- Dec 10, 2024
- SHA
- 9195ce07
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-in21k-finetuned-earlystop
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: 0.1972
- Accuracy: 0.9375
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5989 | 0.9816 | 40 | 0.6929 | 0.5 |
| 0.3542 | 1.9877 | 81 | 0.5951 | 0.6875 |
| 0.2495 | 2.9939 | 122 | 0.5182 | 0.75 |
| 0.1553 | 4.0 | 163 | 0.7023 | 0.625 |
| 0.1806 | 4.9816 | 203 | 0.3825 | 0.8125 |
| 0.1509 | 5.9877 | 244 | 0.1972 | 0.9375 |
| 0.1771 | 6.9939 | 285 | 0.6752 | 0.625 |
| 0.1372 | 8.0 | 326 | 0.4901 | 0.6875 |
| 0.1698 | 8.9816 | 366 | 0.2187 | 0.875 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Dec 10, 2024
- Updated
- Dec 10, 2024