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
1.723	1.0	250	0.6955	1.0661
0.586	2.0	500	0.924	0.2848
0.14	3.0	750	0.9755	0.0896
0.0253	4.0	1000	0.984	0.0505
0.0055	5.0	1250	0.9865	0.0376
0.0028	6.0	1500	0.9875	0.0368
0.0019	7.0	1750	0.9875	0.0401
0.0011	8.0	2000	0.988	0.0322
0.0007	9.0	2250	0.991	0.0315
0.0009	10.0	2500	0.99	0.0304
0.0006	11.0	2750	0.9895	0.0316
0.0006	12.0	3000	0.99	0.0324
0.0005	13.0	3250	0.9905	0.0317
0.0005	14.0	3500	0.9905	0.0313
0.0004	15.0	3750	0.9905	0.0311

cvmil/vit-base-patch16-224_rice-leaf-disease-augmented_fft

vit-base-patch16-224_rice-leaf-disease-augmented_fft_012825