hushem_1x_deit_tiny_sgd_lr00001_fold5

hkivancoral/hushem_1x_deit_tiny_sgd_lr00001_fold5

hushem_1x_deit_tiny_sgd_lr00001_fold5 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 10, 2023
Updated: Nov 10, 2023
SHA: ca5707c4

Base models

facebook/deit-tiny-patch16-224

Datasets

imagefolder

Model card

From the Hugging Face model README

hushem_1x_deit_tiny_sgd_lr00001_fold5

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: 1.6421
Accuracy: 0.1220

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	1.6490	0.1220
1.6062	2.0	12	1.6487	0.1220
1.6062	3.0	18	1.6483	0.1220
1.6229	4.0	24	1.6480	0.1220
1.5995	5.0	30	1.6477	0.1220
1.5995	6.0	36	1.6474	0.1220
1.5906	7.0	42	1.6470	0.1220
1.5906	8.0	48	1.6468	0.1220
1.609	9.0	54	1.6465	0.1220
1.6018	10.0	60	1.6462	0.1220
1.6018	11.0	66	1.6459	0.1220
1.5944	12.0	72	1.6457	0.1220
1.5944	13.0	78	1.6454	0.1220
1.6013	14.0	84	1.6452	0.1220
1.5987	15.0	90	1.6449	0.1220
1.5987	16.0	96	1.6447	0.1220
1.5899	17.0	102	1.6445	0.1220
1.5899	18.0	108	1.6443	0.1220
1.626	19.0	114	1.6441	0.1220
1.5972	20.0	120	1.6439	0.1220
1.5972	21.0	126	1.6437	0.1220
1.5649	22.0	132	1.6436	0.1220
1.5649	23.0	138	1.6434	0.1220
1.6699	24.0	144	1.6433	0.1220
1.5696	25.0	150	1.6431	0.1220
1.5696	26.0	156	1.6430	0.1220
1.5743	27.0	162	1.6429	0.1220
1.5743	28.0	168	1.6427	0.1220
1.6236	29.0	174	1.6426	0.1220
1.5936	30.0	180	1.6426	0.1220
1.5936	31.0	186	1.6425	0.1220
1.5875	32.0	192	1.6424	0.1220
1.5875	33.0	198	1.6423	0.1220
1.6171	34.0	204	1.6423	0.1220
1.5897	35.0	210	1.6422	0.1220
1.5897	36.0	216	1.6422	0.1220
1.5725	37.0	222	1.6421	0.1220
1.5725	38.0	228	1.6421	0.1220
1.6227	39.0	234	1.6421	0.1220
1.5924	40.0	240	1.6421	0.1220
1.5924	41.0	246	1.6421	0.1220
1.5811	42.0	252	1.6421	0.1220
1.5811	43.0	258	1.6421	0.1220
1.6072	44.0	264	1.6421	0.1220
1.5938	45.0	270	1.6421	0.1220
1.5938	46.0	276	1.6421	0.1220
1.6243	47.0	282	1.6421	0.1220
1.6243	48.0	288	1.6421	0.1220
1.5633	49.0	294	1.6421	0.1220
1.6091	50.0	300	1.6421	0.1220

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Nov 10, 2023
Updated: Nov 10, 2023