<!-- 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. -->

deprem_satellite_semantic_whu

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.0692
• eval_mean_iou: 0.8739
• eval_mean_accuracy: 0.9277
• eval_overall_accuracy: 0.9786
• eval_accuracy_background: 0.9888
• eval_accuracy_building: 0.8665
• eval_iou_background: 0.9770
• eval_iou_building: 0.7708
• eval_runtime: 124.6705
• eval_samples_per_second: 4.011
• eval_steps_per_second: 4.011
• step: 0

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: 6e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Framework versions

• Transformers 4.27.0.dev0
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2