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medsiglip-448-ft-en-hyper-kvasir
YukiTashiro/medsiglip-448-ft-en-hyper-kvasir
medsiglip-448-ft-en-hyper-kvasir is a zero-shot image classification model from YukiTashiro. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Zero-Shot Image Classification
- Library
- transformers
- Model type
- siglip
- Access
- Public
- Created
- Sep 8, 2025
- Updated
- Sep 8, 2025
- SHA
- e18bdc93
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. -->
medsiglip-448-ft-en-20250908_232210
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2445
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- 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_steps: 5
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4691 | 0.6281 | 500 | 1.2445 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.0
- Task
- Zero-Shot Image Classification
- Library
- transformers
- Type
- siglip
- Created
- Sep 8, 2025
- Updated
- Sep 8, 2025