Segformer-MRIseg_model_Dec28

akar49/Segformer-MRIseg_model_Dec28

Segformer-MRIseg_model_Dec28 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. --

Downloads · 30 days

7% of all-time downloads

All-time downloads

132

Public

Repo size

15.1 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.h515.1 MB · 100%

At a glance

Library: transformers
License: other
Model type: segformer
Access: Public
Created: Dec 29, 2023
Updated: Dec 29, 2023
SHA: b4c67dec

Base models

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

Model card

From the Hugging Face model README

Segformer-MRIseg_model_Dec28

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: 0.0035
Validation Loss: 0.0096
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
0.1321	0.0670	0
0.0670	0.0541	1
0.0551	0.0481	2
0.0455	0.0458	3
0.0393	0.0377	4
0.0335	0.0329	5
0.0316	0.0322	6
0.0269	0.0255	7
0.0218	0.0249	8
0.0204	0.0187	9
0.0182	0.0231	10
0.0186	0.0244	11
0.0166	0.0175	12
0.0150	0.0157	13
0.0132	0.0163	14
0.0123	0.0161	15
0.0111	0.0147	16
0.0112	0.0231	17
0.0122	0.0145	18
0.0101	0.0134	19
0.0094	0.0122	20
0.0088	0.0117	21
0.0080	0.0128	22
0.0082	0.0140	23
0.0074	0.0125	24
0.0073	0.0110	25
0.0071	0.0107	26
0.0065	0.0111	27
0.0073	0.0109	28
0.0068	0.0104	29
0.0064	0.0100	30
0.0062	0.0098	31
0.0065	0.0112	32
0.0064	0.0107	33
0.0059	0.0105	34
0.0065	0.0107	35
0.0058	0.0100	36
0.0052	0.0099	37
0.0052	0.0107	38
0.0055	0.0123	39
0.0052	0.0097	40
0.0051	0.0101	41
0.0051	0.0102	42
0.0046	0.0105	43
0.0048	0.0093	44
0.0044	0.0096	45
0.0043	0.0094	46
0.0040	0.0119	47
0.0041	0.0110	48
0.0043	0.0095	49
0.0041	0.0099	50
0.0040	0.0097	51
0.0041	0.0098	52
0.0041	0.0097	53
0.0041	0.0094	54
0.0042	0.0097	55
0.0038	0.0101	56
0.0037	0.0096	57
0.0036	0.0096	58
0.0035	0.0096	59

Framework versions

Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.16.0
Tokenizers 0.15.0

Library: transformers
Type: segformer
License: other
Created: Dec 29, 2023
Updated: Dec 29, 2023