segformer-finetuned-Maize-10k-steps-sem

koushikn/segformer-finetuned-Maize-10k-steps-sem

segformer-finetuned-Maize-10k-steps-sem is a image segmentation model from koushikn. 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 apache-2.0.

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

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At a glance

Task: Image Segmentation
Library: transformers
License: apache-2.0
Model type: segformer
Access: Public
Created: Jul 16, 2022
Updated: Jul 17, 2022
SHA: 3bedd986

Model card

From the Hugging Face model README

segformer-finetuned-Maize-10k-steps-sem

This model is a fine-tuned version of nvidia/mit-b5 on the koushikn/Maize_sem_seg dataset. It achieves the following results on the evaluation set:

Loss: 0.0756
Mean Iou: 0.9172
Mean Accuracy: 0.9711
Overall Accuracy: 0.9804
Accuracy Background: 0.9834
Accuracy Maize: 0.9588
Iou Background: 0.9779
Iou Maize: 0.8566

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: 0.001
train_batch_size: 16
eval_batch_size: 16
seed: 1337
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: polynomial
training_steps: 10000

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Background	Accuracy Maize	Iou Background	Iou Maize
0.0529	1.0	678	69.3785	0.4391	0.5	0.8781	1.0	0.0	0.8781	0.0
0.3755	2.0	1356	0.9455	0.4391	0.5	0.8781	1.0	0.0	0.8781	0.0
0.0603	3.0	2034	0.0920	0.8356	0.8602	0.9641	0.9976	0.7227	0.9607	0.7106
0.0341	4.0	2712	24.6203	0.4391	0.5	0.8781	1.0	0.0	0.8781	0.0
0.0332	5.0	3390	101.5635	0.4391	0.5	0.8781	1.0	0.0	0.8781	0.0
0.0331	6.0	4068	9.6824	0.4391	0.5	0.8781	1.0	0.0	0.8781	0.0
0.0302	7.0	4746	260.7923	0.4391	0.5	0.8781	1.0	0.0	0.8781	0.0
0.0305	8.0	5424	172.8153	0.4391	0.5	0.8781	1.0	0.0	0.8781	0.0
0.0313	9.0	6102	304.2714	0.4391	0.5	0.8781	1.0	0.0	0.8781	0.0
0.0301	10.0	6780	547.2355	0.4391	0.5	0.8781	1.0	0.0	0.8781	0.0
0.03	11.0	7458	224.2607	0.4391	0.5	0.8781	1.0	0.0	0.8781	0.0
0.0285	12.0	8136	116.3474	0.4391	0.5	0.8781	1.0	0.0	0.8781	0.0
0.0284	13.0	8814	96.8429	0.4391	0.5	0.8781	1.0	0.0	0.8781	0.0
0.0281	14.0	9492	54.2593	0.4391	0.5	0.8781	1.0	0.0	0.8781	0.0
0.028	14.75	10000	0.0756	0.9172	0.9711	0.9804	0.9834	0.9588	0.9779	0.8566

Framework versions

Transformers 4.21.0.dev0
Pytorch 1.10.0+cu102
Datasets 2.3.2
Tokenizers 0.12.1

Task: Image Segmentation
Library: transformers
Type: segformer
License: apache-2.0
Created: Jul 16, 2022
Updated: Jul 17, 2022