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swinv2-large-patch4-window12-192-22k-baseline
canadianjosieharrison/swinv2-large-patch4-window12-192-22k-baseline
swinv2-large-patch4-window12-192-22k-baseline is a image classification model from canadianjosieharrison. 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
- Dec 1, 2023
- Updated
- Jan 8, 2025
- SHA
- a9ff63be
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-baseline
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: 0.3489
- Accuracy: 0.8765
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 |
|---|---|---|---|---|
| 1.1721 | 1.0 | 20 | 0.8152 | 0.7407 |
| 0.5878 | 2.0 | 40 | 0.4285 | 0.8395 |
| 0.5201 | 3.0 | 60 | 0.5102 | 0.8148 |
| 0.3366 | 4.0 | 80 | 0.3463 | 0.8519 |
| 0.2792 | 5.0 | 100 | 0.4444 | 0.8272 |
| 0.2807 | 6.0 | 120 | 0.3282 | 0.8765 |
| 0.1978 | 7.0 | 140 | 0.3047 | 0.8642 |
| 0.2262 | 8.0 | 160 | 0.4534 | 0.8765 |
| 0.176 | 9.0 | 180 | 0.3605 | 0.8148 |
| 0.17 | 10.0 | 200 | 0.4222 | 0.8642 |
| 0.1445 | 11.0 | 220 | 0.3569 | 0.9012 |
| 0.128 | 12.0 | 240 | 0.4649 | 0.8642 |
| 0.1316 | 13.0 | 260 | 0.3848 | 0.8765 |
| 0.1772 | 14.0 | 280 | 0.4242 | 0.8395 |
| 0.1087 | 15.0 | 300 | 0.3756 | 0.8889 |
| 0.0858 | 16.0 | 320 | 0.4190 | 0.8519 |
| 0.1136 | 17.0 | 340 | 0.4902 | 0.8765 |
| 0.0425 | 18.0 | 360 | 0.3041 | 0.9012 |
| 0.07 | 19.0 | 380 | 0.3456 | 0.8889 |
| 0.0595 | 20.0 | 400 | 0.3489 | 0.8765 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.1+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Image Classification
- Library
- transformers
- Type
- swinv2
- License
- apache-2.0
- Created
- Dec 1, 2023
- Updated
- Jan 8, 2025