segformer-b0-pytorch-bottles

ArturR01/segformer-b0-pytorch-bottles

segformer-b0-pytorch-bottles is a machine learning model from ArturR01. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as other.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: other
Model type: segformer
Access: Public
Created: Jun 8, 2023
Updated: Jun 8, 2023
SHA: aa610c31

Model card

From the Hugging Face model README

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

Library: transformers
Type: segformer
License: other
Created: Jun 8, 2023
Updated: Jun 8, 2023