segformer-b0-finetuned-ade20k-manggarai_rivergate

• Loss: 0.0566
• Mean Iou: 0.0
• Mean Accuracy: nan
• Overall Accuracy: nan
• Accuracy Not water: nan
• Accuracy Waters: nan
• Iou Not water: 0.0
• Iou Waters: 0.0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 6e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.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: 0.1

Training results

Framework versions

• Transformers 4.47.0
• Pytorch 2.5.1+cpu
• Datasets 3.1.0
• Tokenizers 0.21.0