SwinV2-Base-30VN-Food – AI Model by vuongnhathien | AlphaNeural AI

You can deploy this model and start earning money today!

vuongnhathien/
SwinV2-Base-30VN-Food

like

0

image-classification

generated_from_trainer

microsoft/swinv2-base-patch4-window12-192-22k

autotrain_compatible

endpoints_compatible

Views

No views yet

SwinV2-Base-30VN-Food

This model is a fine-tuned version of microsoft/swinv2-base-patch4-window12-192-22k on the vuongnhathien/30VNFoods dataset. It achieves the following results on the evaluation set:

Loss: 0.4828
Accuracy: 0.8629

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: 0.0003
train_batch_size: 64
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.8268	1.0	275	0.5937	0.8270
0.5113	2.0	550	0.5267	0.8545
0.331	3.0	825	0.5459	0.8545
0.2273	4.0	1100	0.6090	0.8441
0.1384	5.0	1375	0.6096	0.8736
0.0918	6.0	1650	0.6669	0.8414
0.0616	7.0	1925	0.6487	0.8891
0.0307	8.0	2200	0.6908	0.8787
0.0173	9.0	2475	0.6673	0.8938
0.0109	10.0	2750	0.6488	0.9014

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2