hushem_1x_deit_tiny_sgd_00001_fold1

hkivancoral/hushem_1x_deit_tiny_sgd_00001_fold1

hushem_1x_deit_tiny_sgd_00001_fold1 is a image classification model from hkivancoral. Use it when you need a label for an image. 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 Classification
Library: transformers
License: apache-2.0
Model type: vit
Access: Public
Created: Nov 13, 2023
Updated: Nov 17, 2023
SHA: b803d74b

Base models

facebook/deit-tiny-patch16-224

Datasets

imagefolder

Model card

From the Hugging Face model README

hushem_1x_deit_tiny_sgd_00001_fold1

This model is a fine-tuned version of facebook/deit-tiny-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 1.6938
Accuracy: 0.2

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: 1e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	6	1.6986	0.2
1.6333	2.0	12	1.6983	0.2
1.6333	3.0	18	1.6981	0.2
1.6088	4.0	24	1.6979	0.2
1.6296	5.0	30	1.6976	0.2
1.6296	6.0	36	1.6974	0.2
1.6252	7.0	42	1.6972	0.2
1.6252	8.0	48	1.6970	0.2
1.6833	9.0	54	1.6968	0.2
1.5983	10.0	60	1.6965	0.2
1.5983	11.0	66	1.6964	0.2
1.61	12.0	72	1.6962	0.2
1.61	13.0	78	1.6960	0.2
1.6125	14.0	84	1.6958	0.2
1.6595	15.0	90	1.6957	0.2
1.6595	16.0	96	1.6956	0.2
1.6372	17.0	102	1.6954	0.2
1.6372	18.0	108	1.6953	0.2
1.6292	19.0	114	1.6951	0.2
1.6414	20.0	120	1.6950	0.2
1.6414	21.0	126	1.6949	0.2
1.6168	22.0	132	1.6948	0.2
1.6168	23.0	138	1.6947	0.2
1.6445	24.0	144	1.6946	0.2
1.6172	25.0	150	1.6945	0.2
1.6172	26.0	156	1.6944	0.2
1.5925	27.0	162	1.6944	0.2
1.5925	28.0	168	1.6943	0.2
1.6351	29.0	174	1.6942	0.2
1.6161	30.0	180	1.6941	0.2
1.6161	31.0	186	1.6941	0.2
1.6095	32.0	192	1.6940	0.2
1.6095	33.0	198	1.6940	0.2
1.6215	34.0	204	1.6939	0.2
1.6213	35.0	210	1.6939	0.2
1.6213	36.0	216	1.6939	0.2
1.6372	37.0	222	1.6938	0.2
1.6372	38.0	228	1.6938	0.2
1.6199	39.0	234	1.6938	0.2
1.6087	40.0	240	1.6938	0.2
1.6087	41.0	246	1.6938	0.2
1.6309	42.0	252	1.6938	0.2
1.6309	43.0	258	1.6938	0.2
1.6203	44.0	264	1.6938	0.2
1.6564	45.0	270	1.6938	0.2
1.6564	46.0	276	1.6938	0.2
1.6178	47.0	282	1.6938	0.2
1.6178	48.0	288	1.6938	0.2
1.6557	49.0	294	1.6938	0.2
1.6181	50.0	300	1.6938	0.2

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Nov 13, 2023
Updated: Nov 17, 2023