siglip2-bert / README.md
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metadata
library_name: transformers
tags:
  - generated_from_trainer
model-index:
  - name: siglip2-bert
    results: []

siglip2-bert

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9750

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-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Framework versions

  • Transformers 4.53.0.dev0
  • Pytorch 2.7.0+cu126
  • Datasets 3.1.0
  • Tokenizers 0.21.1