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zhaoqiao0120/
segformer-b0-finetuned-georeferencing

Name: segformer-b0-finetuned-georeferencing
Availability: InStock

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segformer-b0-finetuned-georeferencing

This model is a fine-tuned version of nvidia/mit-b0 on the zhaoqiao0120/georeferencing_2 dataset. It achieves the following results on the evaluation set:

Loss: 0.1456
Mean Iou: 0.0
Mean Accuracy: 0.0
Overall Accuracy: 0.0
Accuracy Unlabeled: nan
Accuracy Object: 0.0
Iou Unlabeled: 0.0
Iou Object: 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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy Unlabeled
0.4873	5.0	20	0.5349	nan
0.3815	10.0	40	0.3688	nan
0.3355	15.0	60	0.2834	nan
0.2632	20.0	80	0.2497	nan
0.187	25.0	100	0.2110	nan
0.2059	30.0	120	0.1814	nan
0.1468	35.0	140	0.1703	nan
0.1357	40.0	160	0.1479	nan
0.1443	45.0	180	0.1445	nan
0.1344	50.0	200	0.1456	nan

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cpu
Datasets 2.21.0
Tokenizers 0.19.1

zhaoqiao0120/segformer-b0-finetuned-georeferencing

segformer-b0-finetuned-georeferencing

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

zhaoqiao0120/
segformer-b0-finetuned-georeferencing