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sTESTEiglip-finetuned-all-pt-br
juliadollis/sTESTEiglip-finetuned-all-pt-br
sTESTEiglip-finetuned-all-pt-br is a zero-shot image classification model from juliadollis. Use it for the zero-shot image classification task on the model card, and read the license before you ship it in a product. 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
- Zero-Shot Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- siglip
- Access
- Public
- Created
- Nov 8, 2025
- Updated
- Nov 8, 2025
- SHA
- 09e4eee1
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. -->
sTESTEiglip-finetuned-all-pt-br
This model is a fine-tuned version of google/siglip-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0900
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-06
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9254 | 0.2769 | 500 | 0.2049 |
| 0.7152 | 0.5537 | 1000 | 0.1446 |
| 0.5782 | 0.8306 | 1500 | 0.1207 |
| 0.4383 | 1.1074 | 2000 | 0.1065 |
| 0.4208 | 1.3843 | 2500 | 0.1003 |
| 0.3944 | 1.6611 | 3000 | 0.0963 |
| 0.3864 | 1.9380 | 3500 | 0.0912 |
| 0.3183 | 2.2148 | 4000 | 0.0939 |
| 0.3301 | 2.4917 | 4500 | 0.0902 |
| 0.3405 | 2.7685 | 5000 | 0.0900 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.1+cu124
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Zero-Shot Image Classification
- Library
- transformers
- Type
- siglip
- License
- apache-2.0
- Created
- Nov 8, 2025
- Updated
- Nov 8, 2025