Segformer-MRIseg_model

akar49/Segformer-MRIseg_model

Segformer-MRIseg_model is a machine learning model from akar49. 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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Hugging Face

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At a glance

Library: transformers
License: other
Model type: segformer
Access: Public
Created: Aug 20, 2023
Updated: Aug 20, 2023
SHA: f47fcf24

Base models

nvidia/segformer-b0-finetuned-ade-512-512

Model card

From the Hugging Face model README

Segformer-MRIseg_model

This model is a fine-tuned version of nvidia/segformer-b0-finetuned-ade-512-512 on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.0049
Validation Loss: 0.0133
Epoch: 59

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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
0.2537	0.0685	0
0.0849	0.0639	1
0.0664	0.0532	2
0.0580	0.0503	3
0.0536	0.0497	4
0.0476	0.0396	5
0.0437	0.0477	6
0.0359	0.0397	7
0.0312	0.0289	8
0.0256	0.0322	9
0.0241	0.0279	10
0.0220	0.0229	11
0.0180	0.0226	12
0.0160	0.0192	13
0.0165	0.0227	14
0.0151	0.0194	15
0.0146	0.0184	16
0.0132	0.0177	17
0.0121	0.0211	18
0.0111	0.0197	19
0.0107	0.0175	20
0.0116	0.0131	21
0.0115	0.0181	22
0.0094	0.0153	23
0.0099	0.0140	24
0.0098	0.0151	25
0.0084	0.0126	26
0.0080	0.0140	27
0.0071	0.0128	28
0.0067	0.0169	29
0.0061	0.0131	30
0.0063	0.0207	31
0.0067	0.0129	32
0.0062	0.0152	33
0.0056	0.0148	34
0.0056	0.0171	35
0.0051	0.0154	36
0.0049	0.0172	37
0.0049	0.0180	38
0.0056	0.0168	39
0.0050	0.0142	40
0.0048	0.0165	41
0.0051	0.0195	42
0.0048	0.0232	43
0.0042	0.0208	44
0.0041	0.0249	45
0.0044	0.0220	46
0.0041	0.0234	47
0.0042	0.0198	48
0.0040	0.0282	49
0.0039	0.0251	50
0.0039	0.0302	51
0.0041	0.0219	52
0.0040	0.0187	53
0.0039	0.0203	54
0.0043	0.0180	55
0.0051	0.0150	56
0.0079	0.0205	57
0.0052	0.0152	58
0.0049	0.0133	59

Framework versions

Transformers 4.31.0
TensorFlow 2.12.0
Datasets 2.14.4
Tokenizers 0.13.3

Library: transformers
Type: segformer
License: other
Created: Aug 20, 2023
Updated: Aug 20, 2023