learning_rate: 5e-05
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_ratio: 0.1
num_epochs: 15
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.9755	1.0	125	1.7906	0.5119
1.3671	2.0	250	1.0186	0.75
0.7289	3.0	375	0.6316	0.8185
0.4637	4.0	500	0.5039	0.8482
0.3583	5.0	625	0.4573	0.8571
0.3262	6.0	750	0.4528	0.8631
0.2609	7.0	875	0.3666	0.8780
0.1505	8.0	1000	0.3273	0.8899
0.0925	9.0	1125	0.3147	0.8869
0.0696	10.0	1250	0.3147	0.8839
0.0616	11.0	1375	0.3084	0.8929
0.0335	12.0	1500	0.3218	0.8929
0.0151	13.0	1625	0.3257	0.8929
0.0096	14.0	1750	0.3379	0.8929
0.0085	15.0	1875	0.3334	0.8929

cvmil/convnext-base-224_augmented-v2_fft

convnext-base-224_rice-leaf-disease-augmented-v2_fft