Downloads · 30 days
7
1% of all-time downloads
swin-tiny-patch4-window7-224-finetuned-image-is-plot-or-not-finetuned-image-is-plot-or-not
qzheng75/swin-tiny-patch4-window7-224-finetuned-image-is-plot-or-not-finetuned-image-is-plot-or-not
swin-tiny-patch4-window7-224-finetuned-image-is-plot-or-not-finetuned-image-is-plot-or-not is a image classification model from qzheng75. 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
664
Public
Repo size
442 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
- Oct 8, 2023
- Updated
- Oct 8, 2023
- SHA
- 78661cdd
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-image-is-plot-or-not-finetuned-image-is-plot-or-not
This model is a fine-tuned version of qzheng75/swin-tiny-patch4-window7-224-finetuned-image-is-plot-or-not on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0012
- Accuracy: 0.9997
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 |
|---|---|---|---|---|
| 0.0001 | 1.0 | 90 | 0.0009 | 0.9997 |
| 0.0014 | 1.99 | 180 | 0.0022 | 0.9993 |
| 0.0054 | 2.99 | 270 | 0.0012 | 0.9997 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- swin
- License
- apache-2.0
- Created
- Oct 8, 2023
- Updated
- Oct 8, 2023