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swinv2-tiny-patch4-window8-256-finetuned-eurosat
erikejw/swinv2-tiny-patch4-window8-256-finetuned-eurosat
swinv2-tiny-patch4-window8-256-finetuned-eurosat is a image classification model from erikejw. 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
- Sep 25, 2022
- Updated
- Sep 25, 2022
- SHA
- e0d496d8
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-tiny-patch4-window8-256-finetuned-eurosat
This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window8-256 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0510
- Accuracy: 0.9826
- F1: 0.9826
- Precision: 0.9828
- Recall: 0.9826
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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.4479 | 1.0 | 95 | 0.1592 | 0.9478 | 0.9478 | 0.9500 | 0.9478 |
| 0.3078 | 2.0 | 190 | 0.0914 | 0.9685 | 0.9686 | 0.9695 | 0.9685 |
| 0.2307 | 3.0 | 285 | 0.0603 | 0.9785 | 0.9785 | 0.9790 | 0.9785 |
| 0.227 | 4.0 | 380 | 0.0531 | 0.9811 | 0.9811 | 0.9814 | 0.9811 |
| 0.1674 | 5.0 | 475 | 0.0510 | 0.9826 | 0.9826 | 0.9828 | 0.9826 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
- Task
- Image Classification
- Library
- transformers
- Type
- swinv2
- License
- apache-2.0
- Created
- Sep 25, 2022
- Updated
- Sep 25, 2022