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siglip-flickr30k-ptbr-5ep – AI Model by turing552 | AlphaNeural AI
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turing552
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siglip-flickr30k-ptbr-5ep
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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-flickr30k-ptbr-5ep
This model is a fine-tuned version of
google/siglip-base-patch16-256-multilingual
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0170
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
Training Loss
Epoch
Step
Validation Loss
0.0113
0.6803
500
0.0112
0.0059
1.3605
1000
0.0107
0.006
2.0408
1500
0.0127
0.0036
2.7211
2000
0.0132
0.0022
3.4014
2500
0.0149
0.0024
4.0816
3000
0.0175
0.0019
4.7619
3500
0.0170
Framework versions
Transformers 4.57.1
Pytorch 2.6.0+cu124
Datasets 4.4.1
Tokenizers 0.22.1
