segFormer-b3-horizontal

ChristianMDahl/segFormer-b3-horizontal

segFormer-b3-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 30, 2023
SHA: c9655fca

Model card

From the Hugging Face model README

ChristianMDahl/segFormer-b3-horizontal

This model is a fine-tuned version of nvidia/mit-b3 on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.1286
Validation Loss: 0.1658
Epoch: 19

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:

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
0.2493	0.2166	0
0.2089	0.2028	1
0.1938	0.1947	2
0.1836	0.1909	3
0.1759	0.1842	4
0.1690	0.1823	5
0.1636	0.1778	6
0.1588	0.1753	7
0.1543	0.1787	8
0.1511	0.1732	9
0.1480	0.1729	10
0.1445	0.1703	11
0.1420	0.1689	12
0.1397	0.1681	13
0.1372	0.1669	14
0.1358	0.1700	15
0.1334	0.1698	16
0.1317	0.1662	17
0.1301	0.1683	18
0.1286	0.1658	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 30, 2023