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

Loss: 0.0472
Accuracy: 0.988

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
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 15

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss
1.5476	1.0	250	0.789	0.5917
0.3353	2.0	500	0.9575	0.1408
0.0827	3.0	750	0.985	0.0427
0.027	4.0	1000	0.9885	0.0344
0.0095	5.0	1250	0.9925	0.0188
0.0076	6.0	1500	0.995	0.0119
0.003	7.0	1750	0.9955	0.0090
0.0023	8.0	2000	0.9955	0.0163
0.0012	9.0	2250	0.992	0.0218
0.0017	10.0	2500	0.996	0.0100
0.0044	11.0	2750	0.9955	0.0236
0.0048	12.0	3000	0.9925	0.0249
0.0023	13.0	3250	0.9955	0.0182
0.0032	14.0	3500	0.994	0.0198
0.0017	15.0	3750	0.988	0.0472

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

cvmil/swin-base-patch4-window7-224_rice-leaf-disease-augmented_fft

swin-base-patch4-window7-224_rice-leaf-disease-augmented_fft_012825

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cvmil/
swin-base-patch4-window7-224_rice-leaf-disease-augmented_fft