learning_rate: 0.001
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
1.9619	1.0	250	0.496	1.4686
1.1487	2.0	500	0.716	0.8858
0.8166	3.0	750	0.7685	0.7041
0.691	4.0	1000	0.797	0.6216
0.6259	5.0	1250	0.824	0.5643
0.582	6.0	1500	0.8305	0.5286
0.547	7.0	1750	0.836	0.5041
0.5244	8.0	2000	0.844	0.4842
0.5081	9.0	2250	0.843	0.4707
0.493	10.0	2500	0.8475	0.4589
0.4824	11.0	2750	0.85	0.4509
0.4759	12.0	3000	0.853	0.4437
0.4677	13.0	3250	0.855	0.4398
0.4651	14.0	3500	0.856	0.4373
0.4625	15.0	3750	0.8575	0.4361

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

beit-base-patch16-224_rice-leaf-disease-augmented_tl_020125