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: 1.4531
Accuracy: 0.8316

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
13.0226	0.96	18	3.0353	0.5657
11.4628	1.96	36	2.5629	0.6397
9.6079	2.96	54	2.2381	0.6869
8.2561	3.96	72	1.9910	0.7407
7.4298	4.96	90	1.7888	0.7744
7.0857	5.96	108	1.6669	0.7879
6.3554	6.96	126	1.5553	0.8283
5.8062	7.96	144	1.5177	0.8283
5.6472	8.96	162	1.4658	0.8215
5.5685	9.96	180	1.4531	0.8316

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

FeruzaBoynazarovaas/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

FeruzaBoynazarovaas/
my_awesome_food_model