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

Loss: 1.6549
Accuracy: 0.889

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: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.7314	0.992	62	2.5575	0.817
1.8582	2.0	125	1.8171	0.879
1.6305	2.976	186	1.6549	0.889

Framework versions

Transformers 4.44.2
Pytorch 1.11.0
Datasets 2.21.0
Tokenizers 0.19.1

JunyaoPu/my_awesome_food_model

my_awesome_food_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

JunyaoPu/
my_awesome_food_model