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siglip-pokemon-15ep – AI Model by turing552 | AlphaNeural AI
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turing552
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siglip-pokemon-15ep
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transformers
pytorch
siglip
zero-shot-image-classification
generated_from_trainer
google/siglip-base-patch16-256-multilingual
finetune
apache-2.0
endpoints_compatible
us
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siglip-pokemon-15ep
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: 15
Training results
Framework versions
Transformers 4.57.1
Pytorch 2.6.0+cu124
Datasets 4.4.1
Tokenizers 0.22.1
