This model is a fine-tuned version of facebook/deit-base-patch16-224 on the vuongnhathien/30VNFoods dataset. It achieves the following results on the evaluation set:

Loss: 0.7340
Accuracy: 0.8399

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: 0.0005
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: cosine
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.9389	1.0	275	0.9157	0.7268
0.5942	2.0	550	0.8308	0.7622
0.3701	3.0	825	0.7638	0.7873
0.2164	4.0	1100	0.8891	0.7825
0.1215	5.0	1375	0.8665	0.7932
0.0563	6.0	1650	0.8048	0.8215
0.0169	7.0	1925	0.7529	0.8370
0.0068	8.0	2200	0.7177	0.8505
0.0032	9.0	2475	0.6994	0.8533
0.0036	10.0	2750	0.6989	0.8529

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2

vuongnhathien/deit-base

deit-base

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

vuongnhathien/
deit-base