distill-lab/train_dit02_initials_3cat_cls_3.5k

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dit02initials3catcls3.5k

This model is a fine-tuned version of google/siglip2-so400m-patch16-512 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2841
• —Accuracy: 0.6455
• —Precision: 0.6339
• —Recall: 0.6455
• —F1: 0.6387
• —Roc Auc: 0.7807

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
• —trainbatchsize: 128
• —evalbatchsize: 128
• —seed: 1337
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —num_epochs: 10.0
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.56.2
• —Pytorch 2.7.1+cu126
• —Datasets 4.0.0
• —Tokenizers 0.22.1