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 Loss	Epoch	Step	Accuracy	Validation Loss
1.4008	1.0	212	0.8303	0.5579
0.331	2.0	424	0.9128	0.2795
0.192	3.0	636	0.9368	0.2083
0.1462	4.0	848	0.9488	0.1819
0.1224	5.0	1060	0.9534	0.1633
0.1067	6.0	1272	0.9521	0.1567
0.0954	7.0	1484	0.9574	0.1431
0.0879	8.0	1696	0.9594	0.1348
0.0809	9.0	1908	0.9594	0.1325
0.0759	10.0	2120	0.9634	0.1273
0.0721	11.0	2332	0.1264	0.9607
0.0688	12.0	2544	0.1212	0.9621
0.0662	13.0	2756	0.1199	0.9654
0.0645	14.0	2968	0.1191	0.9601
0.0631	15.0	3180	0.1191	0.9654

cvmil/dinov2-base_rice-disease-02

dinov2-base_rice-disease-02_111824