glacier_segmentation_transformer

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0488
• Mean Iou: 0.9289
• Mean Accuracy: 0.9613
• Overall Accuracy: 0.9689
• Per Category Iou: [0.9484225100312303, 0.875795429449281, 0.9626254685949275]
• Per Category Accuracy: [0.9725549195530643, 0.9263729934338871, 0.9850380570292713]

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: 0.00018
• train_batch_size: 100
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Per Category Iou	Per Category Accuracy
0.1259	1.0	1405	0.0488	0.9289	0.9613	0.9689	[0.9484225100312303, 0.875795429449281, 0.9626254685949275]	[0.9725549195530643, 0.9263729934338871, 0.9850380570292713]

Framework versions

• Transformers 4.45.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.20.0