siglip-so400m-patch14-224-RESISC45_final

This model is a fine-tuned version of google/siglip-so400m-patch14-224 on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.1210
• eval_accuracy: 0.969
• eval_precision: 0.9708
• eval_recall: 0.969
• eval_f1: 0.9690
• eval_runtime: 38.055
• eval_samples_per_second: 26.278
• eval_steps_per_second: 1.655
• epoch: 5.0
• step: 5910

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: 1e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 8

Framework versions

• Transformers 4.44.0
• Pytorch 2.4.0
• Datasets 2.21.0
• Tokenizers 0.19.1