learning_rate: 0.0001
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
2.023	1.0	250	0.406	1.7331
1.4339	2.0	500	0.638	1.1983
1.0891	3.0	750	0.6985	0.9888
0.9387	4.0	1000	0.728	0.8833
0.8519	5.0	1250	0.7455	0.8170
0.7933	6.0	1500	0.7575	0.7714
0.7515	7.0	1750	0.7635	0.7390
0.7208	8.0	2000	0.7695	0.7137
0.6967	9.0	2250	0.774	0.6958
0.6787	10.0	2500	0.7795	0.6809
0.6644	11.0	2750	0.783	0.6697
0.6539	12.0	3000	0.7825	0.6619
0.6463	13.0	3250	0.7875	0.6563
0.6411	14.0	3500	0.789	0.6533
0.6385	15.0	3750	0.7885	0.6522

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

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