learning_rate: 0.0003
train_batch_size: 64
eval_batch_size: 8
seed: 42
optimizer: Use 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	Validation Loss	Accuracy
2.1567	1.0	212	1.9092	0.5476
1.6124	2.0	424	1.3708	0.6773
1.2221	3.0	636	1.1384	0.7186
1.0356	4.0	848	0.9888	0.7339
0.9297	5.0	1060	0.9108	0.7425
0.8599	6.0	1272	0.8448	0.7538
0.8082	7.0	1484	0.8129	0.7645
0.7648	8.0	1696	0.7604	0.7864
0.7368	9.0	1908	0.7597	0.7738
0.7092	10.0	2120	0.7230	0.7884
0.6928	11.0	2332	0.7014	0.7884
0.6797	12.0	2544	0.6970	0.7917
0.6686	13.0	2756	0.6933	0.8017
0.6642	14.0	2968	0.6813	0.8024
0.6601	15.0	3180	0.6774	0.8044

cvmil/resnet-50_rice-disease-02

resnet-50_rice-disease-02_111724