Downloads · 30 days
8
2% of all-time downloads
swin-tiny-patch4-window7-224-finetuned-swin-pre_evaluation
Prot10/swin-tiny-patch4-window7-224-finetuned-swin-pre_evaluation
swin-tiny-patch4-window7-224-finetuned-swin-pre_evaluation is a image classification model from Prot10. 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
506
Public
Repo size
221 MB
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
- Aug 28, 2023
- Updated
- Aug 28, 2023
- SHA
- 005493cf
Base models
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-swin-pre_evaluation
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5048
- Accuracy: 0.3193
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 |
|---|---|---|---|---|
| 1.5873 | 0.93 | 10 | 1.5200 | 0.2844 |
| 1.5036 | 1.95 | 21 | 1.5082 | 0.3124 |
| 1.4965 | 2.79 | 30 | 1.5048 | 0.3193 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- swin
- License
- apache-2.0
- Created
- Aug 28, 2023
- Updated
- Aug 28, 2023