This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window8-256 on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.0986
Accuracy: 0.9575

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
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
0.6285	1.0	47	0.3820	0.7940
0.3821	2.0	94	0.1866	0.9214
0.2436	3.0	141	0.1285	0.9465
0.2089	4.0	188	0.1065	0.9623
0.1852	5.0	235	0.0986	0.9575

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

NiharGupte/swinv2-tiny-patch4-window8-256-finetuned-student_kaggle

swinv2-tiny-patch4-window8-256-finetuned-student_kaggle

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

NiharGupte/
swinv2-tiny-patch4-window8-256-finetuned-student_kaggle