segformer-b0-pytorch-bottles

This model is a fine-tuned version of ArturR01/segformer-b0-pytorch-bottles on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0215
• Mean Iou: 0.4975
• Mean Accuracy: 0.9949
• Overall Accuracy: 0.9949
• Accuracy Unlabeled: nan
• Accuracy Bottle: 0.9949
• Iou Unlabeled: 0.0
• Iou Bottle: 0.9949

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Unlabeled	Accuracy Bottle	Iou Unlabeled	Iou Bottle
0.0273	0.36	60	0.0259	0.4979	0.9959	0.9959	nan	0.9959	0.0	0.9959
0.0238	0.72	120	0.0215	0.4975	0.9949	0.9949	nan	0.9949	0.0	0.9949

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3