hushem_1x_deit_tiny_adamax_lr001_fold1

hkivancoral/hushem_1x_deit_tiny_adamax_lr001_fold1

hushem_1x_deit_tiny_adamax_lr001_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 10, 2023
Updated: Nov 10, 2023
SHA: e5ef92cf

Base models

facebook/deit-tiny-patch16-224

Datasets

imagefolder

Model card

From the Hugging Face model README

hushem_1x_deit_tiny_adamax_lr001_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: 1.5661
Accuracy: 0.4444

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: 0.001
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
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	0.67	1	2.2715	0.2667
No log	2.0	3	2.0269	0.4
No log	2.67	4	1.6111	0.2889
No log	4.0	6	1.4755	0.2444
No log	4.67	7	1.3818	0.4667
No log	6.0	9	1.3523	0.3111
1.6844	6.67	10	1.4010	0.2444
1.6844	8.0	12	1.2634	0.4444
1.6844	8.67	13	1.3983	0.4222
1.6844	10.0	15	1.7897	0.3778
1.6844	10.67	16	1.7305	0.3111
1.6844	12.0	18	1.3560	0.4667
1.6844	12.67	19	1.8545	0.4222
1.001	14.0	21	2.1000	0.3778
1.001	14.67	22	1.2257	0.4889
1.001	16.0	24	1.2741	0.4444
1.001	16.67	25	1.9098	0.3556
1.001	18.0	27	1.4981	0.3778
1.001	18.67	28	1.0949	0.4222
0.7366	20.0	30	1.1640	0.4222
0.7366	20.67	31	1.5156	0.3556
0.7366	22.0	33	1.8559	0.3556
0.7366	22.67	34	1.5735	0.4444
0.7366	24.0	36	1.3202	0.4222
0.7366	24.67	37	1.3837	0.4222
0.7366	26.0	39	1.6707	0.4
0.4908	26.67	40	1.8712	0.3778
0.4908	28.0	42	2.1885	0.3556
0.4908	28.67	43	2.0505	0.3556
0.4908	30.0	45	1.6855	0.4
0.4908	30.67	46	1.5304	0.4222
0.4908	32.0	48	1.5067	0.3778
0.4908	32.67	49	1.5442	0.4222
0.3287	33.33	50	1.5661	0.4444

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