learning_rate: 0.0003
train_batch_size: 128
eval_batch_size: 128
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: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.0747	1.0	63	1.7043	0.4435
1.3282	2.0	126	1.0444	0.6845
0.8626	3.0	189	0.7962	0.7470
0.6929	4.0	252	0.6883	0.8125
0.5935	5.0	315	0.6247	0.8214
0.5427	6.0	378	0.5926	0.8244
0.5002	7.0	441	0.5735	0.8452
0.4704	8.0	504	0.5520	0.8482
0.4521	9.0	567	0.5330	0.8363
0.4311	10.0	630	0.5249	0.8512
0.4096	11.0	693	0.5185	0.8512
0.3999	12.0	756	0.5112	0.8542
0.3918	13.0	819	0.5042	0.8512
0.3862	14.0	882	0.4984	0.8542
0.3784	15.0	945	0.4985	0.8512
0.3733	16.0	1008	0.4967	0.8512
0.3763	17.0	1071	0.4947	0.8512
0.3736	18.0	1134	0.4949	0.8512
0.3718	19.0	1197	0.4948	0.8512
0.3722	20.0	1260	0.4947	0.8512

cvmil/beit-base-patch16-224_augmented-v2_tl

beit-base-patch16-224_rice-leaf-disease-augmented-v2_tl