learning_rate: 0.001
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
1.1218	1.0	250	0.825	0.5307
0.4069	2.0	500	0.885	0.3582
0.2746	3.0	750	0.92	0.2464
0.2157	4.0	1000	0.9315	0.2224
0.1779	5.0	1250	0.949	0.1753
0.1539	6.0	1500	0.942	0.1718
0.1361	7.0	1750	0.9515	0.1603
0.1271	8.0	2000	0.958	0.1448
0.1114	9.0	2250	0.951	0.1444
0.1023	10.0	2500	0.959	0.1309
0.0968	11.0	2750	0.9625	0.1240
0.0911	12.0	3000	0.9645	0.1248
0.0858	13.0	3250	0.962	0.1189
0.0818	14.0	3500	0.9645	0.1136
0.0789	15.0	3750	0.966	0.1132

cvmil/dinov2-base_rice-leaf-disease-augmented_tl

dinov2-base_rice-leaf-disease-augmented_tl_020125