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swinv2-large-patch4-window12-192-22k-huggingface
canadianjosieharrison/swinv2-large-patch4-window12-192-22k-huggingface
swinv2-large-patch4-window12-192-22k-huggingface is a machine learning model from canadianjosieharrison. 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
- swinv2
- Access
- Public
- Created
- Jan 8, 2025
- Updated
- Jan 8, 2025
- SHA
- f842cda3
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. -->
swinv2-large-patch4-window12-192-22k-huggingface
This model is a fine-tuned version of microsoft/swinv2-large-patch4-window12-192-22k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.6329
- Accuracy: 0.9231
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: 0.0001
- train_batch_size: 18
- eval_batch_size: 18
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 36
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.781 | 0.97 | 16 | 0.7972 | 0.7385 |
| 0.5567 | 2.0 | 33 | 0.4750 | 0.8308 |
| 0.3648 | 2.97 | 49 | 0.5832 | 0.8308 |
| 0.4016 | 4.0 | 66 | 0.5669 | 0.8 |
| 0.2448 | 4.97 | 82 | 0.5883 | 0.8462 |
| 0.3382 | 6.0 | 99 | 0.8846 | 0.8 |
| 0.3042 | 6.97 | 115 | 0.5364 | 0.8769 |
| 0.2744 | 8.0 | 132 | 0.5159 | 0.8769 |
| 0.1859 | 8.97 | 148 | 0.5541 | 0.8462 |
| 0.1787 | 10.0 | 165 | 0.4850 | 0.8923 |
| 0.181 | 10.97 | 181 | 0.4529 | 0.9077 |
| 0.113 | 12.0 | 198 | 0.7836 | 0.8154 |
| 0.0806 | 12.97 | 214 | 0.7141 | 0.8769 |
| 0.0929 | 14.0 | 231 | 0.5765 | 0.9231 |
| 0.1208 | 14.97 | 247 | 0.5762 | 0.9231 |
| 0.0764 | 16.0 | 264 | 0.6146 | 0.9231 |
| 0.099 | 16.97 | 280 | 0.5736 | 0.9231 |
| 0.0972 | 18.0 | 297 | 0.6051 | 0.9231 |
| 0.0534 | 18.97 | 313 | 0.6302 | 0.9231 |
| 0.0754 | 19.39 | 320 | 0.6329 | 0.9231 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.1+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Type
- swinv2
- License
- apache-2.0
- Created
- Jan 8, 2025
- Updated
- Jan 8, 2025