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
2.0445	1.0	63	1.8996	0.3631
1.6611	2.0	126	1.4965	0.5536
1.2741	3.0	189	1.2567	0.6190
1.0663	4.0	252	1.1184	0.6458
0.9481	5.0	315	1.0362	0.6696
0.8707	6.0	378	0.9921	0.6726
0.8161	7.0	441	0.9520	0.6875
0.7731	8.0	504	0.9180	0.6994
0.7417	9.0	567	0.8972	0.7054
0.7163	10.0	630	0.8765	0.7054
0.6954	11.0	693	0.8683	0.7054
0.6794	12.0	756	0.8527	0.7143
0.668	13.0	819	0.8441	0.7202
0.6575	14.0	882	0.8366	0.7202
0.65	15.0	945	0.8314	0.7173
0.645	16.0	1008	0.8284	0.7202
0.6417	17.0	1071	0.8270	0.7232
0.6402	18.0	1134	0.8262	0.7232
0.639	19.0	1197	0.8258	0.7232
0.6381	20.0	1260	0.8257	0.7232

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

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