---
license: apache-2.0
base_model: google/siglip-so400m-patch14-224
tags:
- generated_from_trainer
model-index:
- name: siglip-so400m-patch14-224-RESISC45_final
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# siglip-so400m-patch14-224-RESISC45_final

This model is a fine-tuned version of [google/siglip-so400m-patch14-224](https://huggingface.co/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