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

Loss: 1.3476
Accuracy: 0.4217

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
1.7046	1.0	56	1.4651	0.3422
1.6543	1.99	112	1.4050	0.3917
1.6565	2.99	168	1.3476	0.4217

Framework versions

Transformers 4.37.2
Pytorch 2.0.1+cu117
Datasets 2.17.0
Tokenizers 0.15.2

ansilmbabl/cards-blt-swin-tiny-patch4-window7-224-finetuned-v1

cards-blt-swin-tiny-patch4-window7-224-finetuned-v1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ansilmbabl/
cards-blt-swin-tiny-patch4-window7-224-finetuned-v1