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: cosine_with_restarts
lr_scheduler_warmup_ratio: 0.1
num_epochs: 15
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.7917	1.0	125	1.1504	0.6577
0.6305	2.0	250	0.4746	0.8363
0.1802	3.0	375	0.3663	0.8631
0.0508	4.0	500	0.3550	0.8690
0.0152	5.0	625	0.3373	0.8839
0.0092	6.0	750	0.3433	0.8839
0.0067	7.0	875	0.3768	0.8839
0.002	8.0	1000	0.3861	0.875
0.001	9.0	1125	0.3976	0.8810
0.0009	10.0	1250	0.3989	0.8839
0.0008	11.0	1375	0.4085	0.8839
0.0006	12.0	1500	0.4185	0.8810
0.0004	13.0	1625	0.4294	0.8780
0.0004	14.0	1750	0.4326	0.8780
0.0004	15.0	1875	0.4335	0.8810

cvmil/deit-base-patch16-224_augmented-v2_fft

deit-base-patch16-224_rice-leaf-disease-augmented-v2_fft