Downloads · 30 days
11
2% of all-time downloads
swin-tiny-patch4-window7-224-finetuned-eurosat
Arya-Bastani23/swin-tiny-patch4-window7-224-finetuned-eurosat
swin-tiny-patch4-window7-224-finetuned-eurosat is a image classification model from Arya-Bastani23. 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
481
Public
Repo size
1.2 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin110 MB · 100%
At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- swin
- Access
- Public
- Created
- Sep 24, 2023
- Updated
- Sep 24, 2023
- SHA
- 4f26e564
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 is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.4211
- Accuracy: 0.7944
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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8112 | 0.94 | 12 | 0.6080 | 0.75 |
| 0.6849 | 1.96 | 25 | 0.5325 | 0.7889 |
| 0.6835 | 2.98 | 38 | 0.5046 | 0.7778 |
| 0.6253 | 4.0 | 51 | 0.4427 | 0.8056 |
| 0.6203 | 4.94 | 63 | 0.4305 | 0.8222 |
| 0.559 | 5.96 | 76 | 0.4347 | 0.7833 |
| 0.5664 | 6.59 | 84 | 0.4211 | 0.7944 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- swin
- License
- apache-2.0
- Created
- Sep 24, 2023
- Updated
- Sep 24, 2023