Downloads · 30 days
5
1% of all-time downloads
swin-tiny-patch4-window7-224-finetuned-eurosat
satani/swin-tiny-patch4-window7-224-finetuned-eurosat
swin-tiny-patch4-window7-224-finetuned-eurosat is a image classification model from satani. Use it when you need a label for an image. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
518
Public
Repo size
773 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin110 MB · 100%
At a glance
- Task
- Image Classification
- Library
- transformers
- Model type
- swin
- Access
- Public
- Created
- May 18, 2023
- Updated
- May 18, 2023
- SHA
- 2fd61b38
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. -->
swin-tiny-patch4-window7-224-finetuned-eurosat
This model was trained from scratch on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.7576
- Accuracy: 0.5862
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: 1
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6968 | 0.98 | 32 | 0.7576 | 0.5862 |
| 0.6144 | 2.0 | 65 | 0.7457 | 0.5862 |
| 0.5981 | 2.95 | 96 | 0.6591 | 0.5862 |
Framework versions
- Transformers 4.29.2
- Pytorch 1.12.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- swin
- Created
- May 18, 2023
- Updated
- May 18, 2023