kevin2909/img_app_source_v2

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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
• —trainbatchsize: 64
• —evalbatchsize: 64
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.57.6
• —Pytorch 2.7.1+cu126
• —Datasets 3.6.0
• —Tokenizers 0.22.0