Downloads · 30 days
6
1% of all-time downloads
swin-tiny-patch4-window7-224-pruned-0.4-finetuned-eurosat
2022happy/swin-tiny-patch4-window7-224-pruned-0.4-finetuned-eurosat
swin-tiny-patch4-window7-224-pruned-0.4-finetuned-eurosat is a image classification model from 2022happy. 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. --
All-time downloads
804
Public
Repo size
881 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin220 MB · 100%
At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- swin
- Access
- Public
- Created
- Jun 19, 2023
- Updated
- Jun 19, 2023
- SHA
- 8f415923
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-pruned-0.4-finetuned-eurosat
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the cifar10 dataset. It achieves the following results on the evaluation set:
- Loss: 1.0525
- Accuracy: 0.6266
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-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 |
|---|---|---|---|---|
| 1.6059 | 1.0 | 351 | 1.4089 | 0.4934 |
| 1.3254 | 2.0 | 703 | 1.1709 | 0.593 |
| 1.2453 | 2.99 | 1053 | 1.0525 | 0.6266 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- swin
- License
- apache-2.0
- Created
- Jun 19, 2023
- Updated
- Jun 19, 2023