learning_rate: 0.0003
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: cosine_with_restarts
lr_scheduler_warmup_steps: 256
num_epochs: 15
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.1222	0.5	64	2.0509	0.1510
1.9017	1.0	128	1.7781	0.4497
1.5825	1.5	192	1.4769	0.5839
1.3241	2.0	256	1.2365	0.6477
1.1218	2.5	320	1.0798	0.7081
1.0	3.0	384	0.9780	0.7148
0.9197	3.5	448	0.9174	0.7181
0.8642	4.0	512	0.8803	0.7450
0.8318	4.5	576	0.8597	0.7617
0.8052	5.0	640	0.8468	0.7584
0.8015	5.5	704	0.8442	0.7584
0.7837	6.0	768	0.8387	0.7617
0.8052	6.5	832	0.8286	0.7584
0.7411	7.0	896	0.7934	0.7685
0.7309	7.5	960	0.7547	0.7785
0.6879	8.0	1024	0.7408	0.7819
0.6677	8.5	1088	0.7244	0.7987
0.6653	9.0	1152	0.7210	0.7886
0.6526	9.5	1216	0.7123	0.7919
0.6396	10.0	1280	0.7103	0.7919
0.6415	10.5	1344	0.7097	0.7919
0.638	11.0	1408	0.6948	0.7953
0.629	11.5	1472	0.6902	0.7953
0.5986	12.0	1536	0.6603	0.7953
0.5859	12.5	1600	0.6631	0.7987
0.5776	13.0	1664	0.6511	0.7953
0.5639	13.5	1728	0.6433	0.7953
0.5643	14.0	1792	0.6448	0.8020
0.5626	14.5	1856	0.6434	0.7953
0.5522	15.0	1920	0.6434	0.7953

SodaXII/deit-base-patch16-224_rice-leaf-disease-augmented-v4_tl

deit-base-patch16-224_rice-leaf-disease-augmented-v4_tl