segformer-b1-finetuned-sudoku

mrkprc1/segformer-b1-finetuned-sudoku

segformer-b1-finetuned-sudoku is a image segmentation model from mrkprc1. Use it for the image segmentation 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

Task: Image Segmentation
Library: transformers
License: other
Model type: segformer
Access: Public
Created: Jan 25, 2024
Updated: Jan 25, 2024
SHA: 9eac0004

Base models

nvidia/mit-b1

Model card

From the Hugging Face model README

segformer-b1-finetuned-sudoku

This model is a fine-tuned version of nvidia/mit-b1 on the mrkprc1/SudokuBoundaries2 dataset. It achieves the following results on the evaluation set:

Loss: 0.9826
Mean Iou: 0.2452
Mean Accuracy: 0.4999
Overall Accuracy: 0.4903
Accuracy Unlabelled: 0.9996
Accuracy Sudoku-boundary: 0.0001
Iou Unlabelled: 0.4903
Iou Sudoku-boundary: 0.0001

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	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Unlabelled	Accuracy Sudoku-boundary	Iou Unlabelled	Iou Sudoku-boundary
0.6034	3.33	20	0.6951	0.3427	0.5173	0.5149	0.6432	0.3914	0.3940	0.2913
0.7796	6.67	40	0.7150	0.3049	0.5083	0.5021	0.8309	0.1857	0.4501	0.1597
0.4378	10.0	60	0.9772	0.2452	0.5	0.4904	1.0	0.0	0.4904	0.0
0.6804	13.33	80	1.1605	0.2452	0.5	0.4904	1.0	0.0	0.4904	0.0
0.58	16.67	100	0.9787	0.2452	0.5	0.4904	1.0	0.0	0.4904	0.0
0.6563	20.0	120	1.1860	0.2452	0.5	0.4904	1.0	0.0	0.4904	0.0
0.5128	23.33	140	0.8884	0.2457	0.5002	0.4907	0.9996	0.0009	0.4905	0.0009
0.5054	26.67	160	0.8746	0.2455	0.5002	0.4907	0.9998	0.0006	0.4905	0.0006
0.5532	30.0	180	0.9540	0.2452	0.5000	0.4905	1.0	0.0000	0.4905	0.0000
0.3238	33.33	200	0.8916	0.2470	0.5009	0.4914	0.9984	0.0035	0.4905	0.0035
0.2964	36.67	220	1.0162	0.2453	0.5000	0.4905	1.0000	0.0000	0.4905	0.0000
0.2102	40.0	240	0.9650	0.2452	0.4998	0.4903	0.9996	0.0001	0.4903	0.0001
0.623	43.33	260	0.9071	0.2461	0.5004	0.4909	0.9991	0.0017	0.4904	0.0017
0.3741	46.67	280	0.9245	0.2454	0.5000	0.4904	0.9994	0.0006	0.4903	0.0006
0.5765	50.0	300	0.9826	0.2452	0.4999	0.4903	0.9996	0.0001	0.4903	0.0001

Framework versions

Transformers 4.37.1
Pytorch 2.1.2
Datasets 2.16.1
Tokenizers 0.15.1

Task: Image Segmentation
Library: transformers
Type: segformer
License: other
Created: Jan 25, 2024
Updated: Jan 25, 2024