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

Loss: 0.6643
Accuracy: 0.8234

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.8008	0.9996	703	0.9033	0.7728
1.4699	1.9993	1406	0.7138	0.8114
1.2742	2.9989	2109	0.6643	0.8234

Framework versions

Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

LucasThil/swin-tiny-patch4-window7-224-finetuned-tiny-imagenet

swin-tiny-patch4-window7-224-finetuned-tiny-imagenet

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

LucasThil/
swin-tiny-patch4-window7-224-finetuned-tiny-imagenet