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medsiglip-448-ft-crc100k
Toonies/medsiglip-448-ft-crc100k
medsiglip-448-ft-crc100k is a zero-shot image classification model from Toonies. 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 other.
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
- other
- Model type
- siglip
- Access
- Public
- Created
- Sep 3, 2025
- Updated
- Sep 5, 2025
- SHA
- ccf073b1
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. -->
medsiglip-448-ft-crc100k
This model is a fine-tuned version of google/medsiglip-448 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1090
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use adamw_torch 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: 12
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4835 | 0.3094 | 50 | 1.6561 |
| 1.2918 | 0.6187 | 100 | 1.2015 |
| 1.1399 | 0.9281 | 150 | 1.1764 |
| 1.0881 | 1.2351 | 200 | 1.1594 |
| 1.1221 | 1.5445 | 250 | 1.1659 |
| 1.0781 | 1.8538 | 300 | 1.1377 |
| 1.0854 | 2.1609 | 350 | 1.1528 |
| 1.0849 | 2.4702 | 400 | 1.1304 |
| 1.0537 | 2.7796 | 450 | 1.1472 |
| 1.0851 | 3.0866 | 500 | 1.1253 |
| 1.0725 | 3.3960 | 550 | 1.1166 |
| 1.0639 | 3.7053 | 600 | 1.1616 |
| 1.0308 | 4.0124 | 650 | 1.1127 |
| 1.0616 | 4.3217 | 700 | 1.1094 |
| 1.0225 | 4.6311 | 750 | 1.1327 |
| 1.0066 | 4.9404 | 800 | 1.1188 |
| 1.009 | 5.2475 | 850 | 1.1141 |
| 1.0608 | 5.5568 | 900 | 1.1366 |
| 1.0516 | 5.8662 | 950 | 1.1308 |
| 1.0289 | 6.1732 | 1000 | 1.1256 |
| 1.1054 | 6.4826 | 1050 | 1.1159 |
| 1.025 | 6.7920 | 1100 | 1.1071 |
| 1.0376 | 7.0990 | 1150 | 1.1271 |
| 1.0389 | 7.4084 | 1200 | 1.1187 |
| 0.9929 | 7.7177 | 1250 | 1.1130 |
| 1.0692 | 8.0247 | 1300 | 1.1123 |
| 1.0505 | 8.3341 | 1350 | 1.1023 |
| 1.0437 | 8.6435 | 1400 | 1.1082 |
| 1.0228 | 8.9528 | 1450 | 1.1056 |
| 1.0134 | 9.2599 | 1500 | 1.1092 |
| 1.073 | 9.5692 | 1550 | 1.1155 |
| 1.0354 | 9.8786 | 1600 | 1.1081 |
| 1.0316 | 10.1856 | 1650 | 1.1100 |
| 1.0558 | 10.4950 | 1700 | 1.1075 |
| 0.9927 | 10.8043 | 1750 | 1.1089 |
| 1.0543 | 11.1114 | 1800 | 1.1105 |
| 1.0364 | 11.4207 | 1850 | 1.1088 |
| 1.0407 | 11.7301 | 1900 | 1.1090 |
Framework versions
- Transformers 4.56.0.dev0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Zero-Shot Image Classification
- Library
- transformers
- Type
- siglip
- License
- other
- Created
- Sep 3, 2025
- Updated
- Sep 5, 2025