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	Accuracy	Validation Loss
1.9654	0.5	64	0.5	1.5817
1.1667	1.0	128	0.8255	0.6758
0.4198	1.5	192	0.9027	0.2913
0.1774	2.0	256	0.9597	0.1539
0.038	2.5	320	0.9564	0.1636
0.0248	3.0	384	0.9430	0.1796
0.007	3.5	448	0.9497	0.1965
0.0023	4.0	512	0.9497	0.2117
0.0012	4.5	576	0.9463	0.2007
0.001	5.0	640	0.9564	0.1974
0.0008	5.5	704	0.9564	0.2004
0.0007	6.0	768	0.9564	0.2007
0.0008	6.5	832	0.9564	0.2008
0.0006	7.0	896	0.9597	0.2012
0.0005	7.5	960	0.9597	0.2021
0.0004	8.0	1024	0.9564	0.2069
0.0004	8.5	1088	0.2108	0.9564
0.0003	9.0	1152	0.2105	0.9564
0.0003	9.5	1216	0.2086	0.9564
0.0002	10.0	1280	0.2129	0.9564
0.0002	10.5	1344	0.2139	0.9564
0.0002	11.0	1408	0.2140	0.9564
0.0002	11.5	1472	0.2141	0.9564
0.0002	12.0	1536	0.2170	0.9564
0.0002	12.5	1600	0.2149	0.9564
0.0002	13.0	1664	0.2193	0.9564
0.0001	13.5	1728	0.2187	0.9564
0.0001	14.0	1792	0.2197	0.9564
0.0001	14.5	1856	0.2194	0.9564
0.0001	15.0	1920	0.2195	0.9564

SodaXII/vit-base-patch16-224_rice-leaf-disease-augmented-v4_fft

vit-base-patch16-224_rice-leaf-disease-augmented-v4_fft