vit-base-beans-demo-v5 – AI Model by AhmedBedair | AlphaNeural AI

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AhmedBedair/
vit-base-beans-demo-v5

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image-classification

generated_from_trainer

google/vit-base-patch16-224-in21k

autotrain_compatible

endpoints_compatible

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vit-base-beans-demo-v5

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the bact dataset. It achieves the following results on the evaluation set:

Loss: 0.0612
Accuracy: 0.9874

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: 5e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0007	0.17	100	0.1211	0.9748
0.0005	0.34	200	0.1027	0.9786
0.0195	0.5	300	0.0869	0.9836
0.0025	0.67	400	0.0823	0.9845
0.0154	0.84	500	0.0888	0.9828
0.0004	1.01	600	0.0781	0.9853
0.0004	1.17	700	0.0931	0.9832
0.0004	1.34	800	0.0995	0.9811
0.0004	1.51	900	0.0925	0.9832
0.0003	1.68	1000	0.0857	0.9836
0.0364	1.85	1100	0.0788	0.9845
0.0003	2.01	1200	0.0775	0.9840
0.0003	2.18	1300	0.0718	0.9857
0.0003	2.35	1400	0.0804	0.9849
0.0003	2.52	1500	0.0751	0.9836
0.0003	2.68	1600	0.0659	0.9870
0.0002	2.85	1700	0.0612	0.9874

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3