Downloads · 30 days
9
17% of all-time downloads
swinv2-large-patch4-window12to24-192to384-22kto1k-ft-microbes
DataBindu/swinv2-large-patch4-window12to24-192to384-22kto1k-ft-microbes
swinv2-large-patch4-window12to24-192to384-22kto1k-ft-microbes is a image classification model from DataBindu. 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
52
Public
Repo size
7 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin781 MB · 100%
At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- swinv2
- Access
- Public
- Created
- Sep 6, 2023
- Updated
- Sep 8, 2023
- SHA
- 86481ccf
Base models
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. -->
swinv2-large-patch4-window12to24-192to384-22kto1k-ft-microbes
This model is a fine-tuned version of microsoft/swinv2-large-patch4-window12to24-192to384-22kto1k-ft on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 1.0311
- Accuracy: 0.7130
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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.8445 | 0.98 | 15 | 2.8535 | 0.3194 |
| 2.1358 | 1.97 | 30 | 1.9654 | 0.4491 |
| 1.5947 | 2.95 | 45 | 1.4172 | 0.6204 |
| 1.045 | 4.0 | 61 | 1.1698 | 0.6806 |
| 0.985 | 4.98 | 76 | 1.1927 | 0.6852 |
| 0.775 | 5.97 | 91 | 1.1012 | 0.6898 |
| 0.7207 | 6.95 | 106 | 1.0311 | 0.7130 |
| 0.6611 | 7.87 | 120 | 1.0311 | 0.6991 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cpu
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- swinv2
- License
- apache-2.0
- Created
- Sep 6, 2023
- Updated
- Sep 8, 2023