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
1.541	1.0	250	0.8105	0.5771
0.3645	2.0	500	0.9315	0.1973
0.1129	3.0	750	0.9805	0.0676
0.0362	4.0	1000	0.9775	0.0760
0.0182	5.0	1250	0.989	0.0396
0.0097	6.0	1500	0.992	0.0349
0.006	7.0	1750	0.99	0.0423
0.0057	8.0	2000	0.9875	0.0488
0.0038	9.0	2250	0.991	0.0333
0.0048	10.0	2500	0.991	0.0316
0.0033	11.0	2750	0.993	0.0300
0.0034	12.0	3000	0.991	0.0375
0.0022	13.0	3250	0.9935	0.0304
0.0018	14.0	3500	0.994	0.0282
0.0029	15.0	3750	0.994	0.0274

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

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