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: 0.7830
Accuracy: 0.7053

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: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.019	0.9630	13	1.7204	0.3805
1.646	2.0	27	1.2356	0.5940
0.9911	2.9630	40	0.9948	0.6821
0.9104	4.0	54	0.9069	0.6775
0.8337	4.9630	67	0.8472	0.6961
0.7425	6.0	81	0.8436	0.6891
0.6625	6.9630	94	0.8257	0.6937
0.6814	8.0	108	0.8274	0.6914
0.6445	8.9630	121	0.7940	0.7053
0.6032	10.0	135	0.8015	0.7030
0.6231	10.9630	148	0.7825	0.7077
0.6337	11.5556	156	0.7830	0.7053

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

vlevi/Main_fashion-swin

Main_fashion-swin

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

vlevi/
Main_fashion-swin