segformer-b0-finetuned-segments-satellite-terrain – AI Model by ZeeeWP | AlphaNeural AI

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ZeeeWP/
segformer-b0-finetuned-segments-satellite-terrain

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segformer-b0-finetuned-segments-satellite-terrain

This model is a fine-tuned version of nvidia/mit-b0 on the ZeeeWP/terrain_map dataset. It achieves the following results on the evaluation set:

Loss: 1.7429
Mean Iou: 0.1997
Mean Accuracy: 0.3405
Overall Accuracy: 0.5221
Accuracy Unlabeled: nan
Accuracy Sand: 0.5941
Accuracy Cliff: 0.5946
Accuracy Bedrock flat: 0.7071
Accuracy Bedrock lowhill: 0.0427
Accuracy Bedrock highhill: 0.0
Accuracy Gravel low hill: 0.4448
Accuracy Gravel high hill: 0.0
Iou Unlabeled: 0.0
Iou Sand: 0.4244
Iou Cliff: 0.4248
Iou Bedrock flat: 0.4794
Iou Bedrock lowhill: 0.0361
Iou Bedrock highhill: 0.0
Iou Gravel low hill: 0.2331
Iou Gravel high hill: 0.0

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: 4
eval_batch_size: 4
seed: 42
optimizer: Use 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Unlabeled	Accuracy Sand	Accuracy Cliff	Accuracy Bedrock flat	Accuracy Bedrock lowhill	Accuracy Bedrock highhill	Accuracy Gravel low hill	Accuracy Gravel high hill	Iou Unlabeled	Iou Sand	Iou Cliff	Iou Bedrock flat	Iou Bedrock lowhill	Iou Bedrock highhill	Iou Gravel low hill	Iou Gravel high hill
1.6036	5.0	20	1.9238	0.1884	0.3339	0.5327	nan	0.5982	0.7346	0.6854	0.0081	0.0	0.3108	0.0	0.0	0.3493	0.4685	0.4768	0.0070	0.0	0.2055	0.0
1.7105	10.0	40	1.7429	0.1997	0.3405	0.5221	nan	0.5941	0.5946	0.7071	0.0427	0.0	0.4448	0.0	0.0	0.4244	0.4248	0.4794	0.0361	0.0	0.2331	0.0

Framework versions

Transformers 4.46.3
Pytorch 2.4.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3