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siglip-pokemon-5ep
turing552/siglip-pokemon-5ep
siglip-pokemon-5ep is a zero-shot image classification model from turing552. 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 13, 2025
- Updated
- Nov 13, 2025
- SHA
- dfc1391f
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. -->
siglip-pokemon-5ep
This model is a fine-tuned version of google/siglip-base-patch16-256-multilingual on an unknown dataset.
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
Framework versions
- Transformers 4.57.1
- Pytorch 2.6.0+cu124
- Datasets 4.4.1
- Tokenizers 0.22.1
- Task
- Zero-Shot Image Classification
- Library
- transformers
- Type
- siglip
- License
- apache-2.0
- Created
- Nov 13, 2025
- Updated
- Nov 13, 2025