segFormer_ver1_horizontal

ChristianMDahl/segFormer_ver1_horizontal

segFormer_ver1_horizontal is a machine learning model from ChristianMDahl. 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.

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: May 28, 2023
Updated: May 28, 2023
SHA: 3e8eed77

Model card

From the Hugging Face model README

ChristianMDahl/segFormer_ver1_horizontal

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

Train Loss: 0.1767
Validation Loss: 0.1918
Epoch: 19

Model description

Model for horizontal lines

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

optimizer: {'name': 'Adam', 'learning_rate': 6e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
0.3302	0.2673	0
0.2515	0.2329	1
0.2335	0.2197	2
0.2226	0.2125	3
0.2153	0.2083	4
0.2105	0.2039	5
0.2061	0.2023	6
0.2025	0.2013	7
0.1995	0.2015	8
0.1960	0.1976	9
0.1938	0.1966	10
0.1909	0.1973	11
0.1882	0.1936	12
0.1865	0.1951	13
0.1845	0.1942	14
0.1826	0.1953	15
0.1810	0.1934	16
0.1794	0.1928	17
0.1782	0.1919	18
0.1767	0.1918	19

Framework versions

Transformers 4.28.1
TensorFlow 2.10.1
Datasets 2.12.0
Tokenizers 0.13.0.dev0

Library: transformers
Type: segformer
License: other
Created: May 28, 2023
Updated: May 28, 2023