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img_app_source_v2 – AI Model by kevin2909 | AlphaNeural AI
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kevin2909
/
img_app_source_v2
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transformers
safetensors
siglip
image-classification
generated_from_trainer
google/siglip2-base-patch16-224
finetune
apache-2.0
endpoints_compatible
us
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Model card
Files and Versions
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20260126163812
This model is a fine-tuned version of
google/siglip2-base-patch16-224
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2250
F1: 0.9205
Accuracy: 0.9205
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: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
F1
Accuracy
0.5197
1.1710
500
0.3835
0.8664
0.8664
0.3574
2.3419
1000
0.3039
0.8959
0.8959
0.2635
3.5129
1500
0.2393
0.9162
0.9162
0.2119
4.6838
2000
0.2250
0.9205
0.9205
Framework versions
Transformers 4.57.6
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.22.0
