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
train_batch_size: 128
eval_batch_size: 128
seed: 1337
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
