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siglip2-african-ecommerce-lora
Rayvvin/siglip2-african-ecommerce-lora
siglip2-african-ecommerce-lora is a machine learning model from Rayvvin. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. 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
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Dec 25, 2025
- Updated
- Dec 26, 2025
- SHA
- b12a2db6
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. -->
siglip2-african-ecommerce-lora
This model is a fine-tuned version of google/siglip2-so400m-patch16-256 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5063
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7687 | 0.6405 | 100 | 2.0315 |
| 1.0615 | 1.2754 | 200 | 0.9085 |
| 0.7441 | 1.9159 | 300 | 0.6403 |
| 0.4297 | 2.5508 | 400 | 0.5063 |
Framework versions
- PEFT 0.18.0
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Library
- peft
- License
- apache-2.0
- Created
- Dec 25, 2025
- Updated
- Dec 26, 2025