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vit-base-patch16-224
jayanthspratap/vit-base-patch16-224
vit-base-patch16-224 is a image classification model from jayanthspratap. 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
- swinv2
- Access
- Public
- Created
- Jul 29, 2024
- Updated
- Aug 10, 2024
- SHA
- fcfb4cd9
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
This model is a fine-tuned version of microsoft/swinv2-base-patch4-window8-256 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.5932
- Accuracy: 0.7209
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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.96 | 6 | 0.7424 | 0.3488 |
| 0.7374 | 1.92 | 12 | 0.5932 | 0.7209 |
| 0.7374 | 2.88 | 18 | 0.5843 | 0.7209 |
| 0.5783 | 4.0 | 25 | 0.5996 | 0.7209 |
| 0.5358 | 4.96 | 31 | 0.6147 | 0.7209 |
| 0.5358 | 5.92 | 37 | 0.6159 | 0.7209 |
| 0.5745 | 6.88 | 43 | 0.6091 | 0.7209 |
| 0.5325 | 8.0 | 50 | 0.6067 | 0.7209 |
| 0.5325 | 8.96 | 56 | 0.6047 | 0.7209 |
| 0.524 | 9.6 | 60 | 0.6046 | 0.7209 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Image Classification
- Library
- transformers
- Type
- swinv2
- License
- apache-2.0
- Created
- Jul 29, 2024
- Updated
- Aug 10, 2024