hushem_5x_deit_small_sgd_00001_fold1

hkivancoral/hushem_5x_deit_small_sgd_00001_fold1

hushem_5x_deit_small_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 20, 2023
Updated: Nov 20, 2023
SHA: 68349a22

Base models

facebook/deit-small-patch16-224

Datasets

imagefolder

Model card

From the Hugging Face model README

hushem_5x_deit_small_sgd_00001_fold1

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

Loss: 1.6074
Accuracy: 0.2222

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
1.4194	1.0	27	1.6162	0.2222
1.4315	2.0	54	1.6158	0.2222
1.4532	3.0	81	1.6154	0.2222
1.4652	4.0	108	1.6150	0.2222
1.4244	5.0	135	1.6147	0.2222
1.4622	6.0	162	1.6143	0.2222
1.4528	7.0	189	1.6140	0.2222
1.4262	8.0	216	1.6136	0.2222
1.4181	9.0	243	1.6133	0.2222
1.4163	10.0	270	1.6130	0.2222
1.4463	11.0	297	1.6127	0.2222
1.4137	12.0	324	1.6124	0.2222
1.4131	13.0	351	1.6121	0.2222
1.4148	14.0	378	1.6118	0.2222
1.444	15.0	405	1.6115	0.2222
1.4135	16.0	432	1.6113	0.2222
1.4356	17.0	459	1.6110	0.2222
1.4146	18.0	486	1.6108	0.2222
1.4096	19.0	513	1.6105	0.2222
1.4038	20.0	540	1.6103	0.2222
1.3926	21.0	567	1.6101	0.2222
1.4332	22.0	594	1.6099	0.2222
1.4214	23.0	621	1.6097	0.2222
1.4083	24.0	648	1.6095	0.2222
1.4271	25.0	675	1.6093	0.2222
1.4496	26.0	702	1.6091	0.2222
1.4117	27.0	729	1.6090	0.2222
1.403	28.0	756	1.6088	0.2222
1.3913	29.0	783	1.6087	0.2222
1.4302	30.0	810	1.6085	0.2222
1.4037	31.0	837	1.6084	0.2222
1.4442	32.0	864	1.6083	0.2222
1.4272	33.0	891	1.6082	0.2222
1.4095	34.0	918	1.6080	0.2222
1.4234	35.0	945	1.6079	0.2222
1.4343	36.0	972	1.6079	0.2222
1.4253	37.0	999	1.6078	0.2222
1.4109	38.0	1026	1.6077	0.2222
1.4096	39.0	1053	1.6076	0.2222
1.3772	40.0	1080	1.6076	0.2222
1.4046	41.0	1107	1.6075	0.2222
1.384	42.0	1134	1.6075	0.2222
1.4202	43.0	1161	1.6075	0.2222
1.3963	44.0	1188	1.6074	0.2222
1.4183	45.0	1215	1.6074	0.2222
1.3888	46.0	1242	1.6074	0.2222
1.4088	47.0	1269	1.6074	0.2222
1.393	48.0	1296	1.6074	0.2222
1.4397	49.0	1323	1.6074	0.2222
1.4472	50.0	1350	1.6074	0.2222

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 20, 2023
Updated: Nov 20, 2023