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img_app_source_v2
kevin2909/img_app_source_v2
img_app_source_v2 is a image classification model from kevin2909. 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. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- siglip
- Access
- Public
- Created
- Jan 27, 2026
- Updated
- Jan 27, 2026
- SHA
- c96dcdd7
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. -->
20260126163812
This model is a fine-tuned version of google/siglip2-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2250
- F1: 0.9205
- Accuracy: 0.9205
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: 0.0002
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
|---|---|---|---|---|---|
| 0.5197 | 1.1710 | 500 | 0.3835 | 0.8664 | 0.8664 |
| 0.3574 | 2.3419 | 1000 | 0.3039 | 0.8959 | 0.8959 |
| 0.2635 | 3.5129 | 1500 | 0.2393 | 0.9162 | 0.9162 |
| 0.2119 | 4.6838 | 2000 | 0.2250 | 0.9205 | 0.9205 |
Framework versions
- Transformers 4.57.6
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.22.0
- Task
- Image Classification
- Library
- transformers
- Type
- siglip
- License
- apache-2.0
- Created
- Jan 27, 2026
- Updated
- Jan 27, 2026