learning_rate: 0.0003
train_batch_size: 16
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
1.3364	1.0	845	0.5174	0.8430
0.344	2.0	1690	0.2503	0.9222
0.2076	3.0	2535	0.1983	0.9375
0.1649	4.0	3380	0.1730	0.9468
0.1443	5.0	4225	0.1581	0.9528
0.1261	6.0	5070	0.1544	0.9554
0.1166	7.0	5915	0.1498	0.9528
0.1097	8.0	6760	0.1479	0.9554
0.1017	9.0	7605	0.1477	0.9501
0.1016	10.0	8450	0.1382	0.9561
0.0946	11.0	9295	0.1362	0.9574
0.0934	12.0	10140	0.1330	0.9587
0.0903	13.0	10985	0.1330	0.9548
0.0863	14.0	11830	0.1323	0.9568
0.0877	15.0	12675	0.1321	0.9574

cvmil/beit-base-patch16-224_rice-disease-02

beit-base-patch16-224_rice-disease-02_111724