This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the rice-diseases-image-dataset dataset. It achieves the following results on the evaluation set:

Loss: 0.5802
Accuracy: 0.8898
F1 Score: 0.8879
Recall: 0.8885

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: 0.00015
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 25

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Score	Recall
2.2794	1.0	31	1.9852	0.5633	0.5269	0.5496
1.6545	2.0	62	1.3268	0.7388	0.7268	0.7358
1.2607	3.0	93	1.3093	0.7429	0.7350	0.7437
1.2308	4.0	124	0.9915	0.7796	0.7731	0.7713
1.0737	5.0	155	0.9625	0.7918	0.7874	0.7869
0.9774	6.0	186	0.8665	0.8286	0.8236	0.8251
0.9999	7.0	217	0.8700	0.8327	0.8298	0.8274
0.8674	8.0	248	0.8487	0.8245	0.8169	0.8196
0.8330	9.0	279	1.3820	0.7633	0.7485	0.7582
0.8289	10.0	310	0.9742	0.8490	0.8425	0.8438
0.7983	11.0	341	0.9251	0.8408	0.8397	0.8428
0.7231	12.0	372	0.8026	0.8408	0.8397	0.8458
0.6888	13.0	403	0.8638	0.8490	0.8466	0.8520
0.6415	14.0	434	0.7139	0.8612	0.8592	0.8624
0.6002	15.0	465	0.6743	0.8939	0.8946	0.8984
0.5523	16.0	496	0.6339	0.8857	0.8835	0.8837
0.5171	17.0	527	0.6958	0.8776	0.8757	0.8759
0.3976	18.0	558	0.6692	0.8735	0.8714	0.8725
0.4916	19.0	589	0.6365	0.8816	0.8793	0.8841
0.3095	20.0	620	0.5939	0.9143	0.9129	0.9165
0.3086	21.0	651	0.5382	0.9102	0.9087	0.9127
0.2511	22.0	682	0.5993	0.8980	0.8963	0.8974
0.2288	23.0	713	0.5829	0.8816	0.8797	0.8792
0.2095	24.0	744	0.5896	0.8816	0.8798	0.8783
0.1754	25.0	775	0.5802	0.8898	0.8879	0.8885

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 5.0.0
Tokenizers 0.22.2

nqvii/swin-tiny-rice-disease-results

swin-tiny-rice-disease-results

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

nqvii/
swin-tiny-rice-disease-results