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: 3.8640
Accuracy: 0.573

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: 512
eval_batch_size: 512
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 2048
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss
No log	1.0	2	0.036	4.5210
No log	2.0	4	0.278	4.4151
No log	3.0	6	0.437	4.3629
No log	4.0	8	4.2960	0.547
4.3122	5.0	10	4.1697	0.589
4.3122	6.0	12	4.0601	0.568
4.3122	7.0	14	3.9770	0.521
4.3122	8.0	16	3.9177	0.539
4.3122	9.0	18	3.8843	0.545
3.9792	10.0	20	3.8640	0.573

Framework versions

Transformers 4.37.0
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.1

hlillemark/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

hlillemark/
my_awesome_food_model