This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the lewtun/dog_food dataset. It achieves the following results on the evaluation set:

Loss: 0.1959
Accuracy: 0.988

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.8198	1.0	16	0.1901	0.9822

Framework versions

Transformers 4.20.1
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1

sasha/swin-tiny-finetuned-dogfood

swin-tiny-finetuned-dogfood

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sasha/
swin-tiny-finetuned-dogfood