Downloads · 30 days
6
9% of all-time downloads
hushem_40x_beit_base_f3
hkivancoral/hushem_40x_beit_base_f3
hushem_40x_beit_base_f3 is a image classification model from hkivancoral. 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
66
Public
Parameters
85.8M
3.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors343 MB · 100%
At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- beit
- Access
- Public
- Created
- Nov 4, 2023
- Updated
- Nov 4, 2023
- SHA
- 89f14817
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. -->
hushem_40x_beit_base_f3
This model is a fine-tuned version of microsoft/beit-base-patch16-224-pt22k-ft22k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.9422
- Accuracy: 0.8837
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0594 | 1.0 | 108 | 0.4441 | 0.8372 |
| 0.0595 | 2.0 | 217 | 0.8725 | 0.8605 |
| 0.0173 | 3.0 | 325 | 0.5866 | 0.9070 |
| 0.0084 | 4.0 | 434 | 0.6360 | 0.8605 |
| 0.0005 | 5.0 | 542 | 0.6191 | 0.8837 |
| 0.0008 | 6.0 | 651 | 0.6635 | 0.9070 |
| 0.0008 | 7.0 | 759 | 0.8772 | 0.8837 |
| 0.0001 | 8.0 | 868 | 0.8012 | 0.9070 |
| 0.0 | 9.0 | 976 | 0.9139 | 0.8837 |
| 0.0001 | 9.95 | 1080 | 0.9422 | 0.8837 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Image Classification
- Library
- transformers
- Type
- beit
- License
- apache-2.0
- Created
- Nov 4, 2023
- Updated
- Nov 4, 2023