segformer-b0-finetuned-deprem-satellite

This model is a fine-tuned version of nvidia/segformer-b0-finetuned-ade-512-512 on the deprem-ml/deprem_satellite_semantic_whu_dataset dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.0641
• eval_mean_iou: 0.9849
• eval_mean_accuracy: 0.9933
• eval_overall_accuracy: 0.9933
• eval_runtime: 94.2835
• eval_samples_per_second: 10.988
• eval_steps_per_second: 2.206
• epoch: 4.18
• step: 1980

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: 7e-05
• train_batch_size: 10
• eval_batch_size: 5
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.2
• Datasets 2.16.1
• Tokenizers 0.15.0