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: 0.2147
Accuracy: 0.9281

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: 0.0003
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use 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
1.7761	1.0	212	0.7405	0.9638
0.6771	2.0	424	0.8476	0.4818
0.4223	3.0	636	0.8756	0.3695
0.3403	4.0	848	0.8922	0.3168
0.2958	5.0	1060	0.9082	0.2835
0.2709	6.0	1272	0.2664	0.9075
0.2494	7.0	1484	0.2498	0.9168
0.2395	8.0	1696	0.2420	0.9182
0.2286	9.0	1908	0.2365	0.9215
0.22	10.0	2120	0.2296	0.9202
0.2137	11.0	2332	0.2230	0.9242
0.2093	12.0	2544	0.2178	0.9281
0.202	13.0	2756	0.2162	0.9295
0.2017	14.0	2968	0.2151	0.9275
0.1986	15.0	3180	0.2147	0.9281

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3

cvmil/swin-base-patch4-window7-224_rice-disease-02

swin-base-patch4-window7-224_rice-disease-02_112024

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cvmil/
swin-base-patch4-window7-224_rice-disease-02