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: 0.0452
Accuracy: 0.9866

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: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1451	0.9973	280	0.1207	0.9602
0.0673	1.9982	561	0.0732	0.9751
0.0304	2.9991	842	0.0509	0.9834
0.0201	4.0	1123	0.0486	0.9845
0.0105	4.9866	1400	0.0452	0.9866

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1

youssefabdelmottaleb/swin-tiny-patch4-window7-224-SWIN-Transformer-5epochs-test

swin-tiny-patch4-window7-224-SWIN-Transformer-5epochs-test

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

youssefabdelmottaleb/
swin-tiny-patch4-window7-224-SWIN-Transformer-5epochs-test