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 Loss	Epoch	Step	Accuracy	Validation Loss
0.8384	1.0	250	0.931	0.2042
0.1037	2.0	500	0.96	0.1290
0.0574	3.0	750	0.977	0.0657
0.0255	4.0	1000	0.985	0.0527
0.0096	5.0	1250	0.988	0.0374
0.0052	6.0	1500	0.997	0.0128
0.0018	7.0	1750	0.9945	0.0131
0.0027	8.0	2000	0.997	0.0122
0.0004	9.0	2250	0.997	0.0153
0.0013	10.0	2500	0.997	0.0128
0.0004	11.0	2750	0.9965	0.0147
0.0004	12.0	3000	0.997	0.0155
0.0003	13.0	3250	0.9955	0.0118
0.0004	14.0	3500	0.9955	0.0123
0.0003	15.0	3750	0.9965	0.0125

cvmil/dinov2-base_rice-leaf-disease-augmented_fft

dinov2-base_rice-leaf-disease-augmented_fft_012825