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_steps: 256
num_epochs: 30
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.9056	0.5	64	1.4718	0.5906
0.9484	1.0	128	0.5152	0.8624
0.3332	1.5	192	0.3270	0.8893
0.1545	2.0	256	0.2024	0.9463
0.0326	2.5	320	0.1973	0.9396
0.0197	3.0	384	0.2748	0.9195
0.0037	3.5	448	0.2517	0.9228
0.002	4.0	512	0.2252	0.9329
0.0005	4.5	576	0.2425	0.9362
0.0004	5.0	640	0.2387	0.9329
0.0003	5.5	704	0.2384	0.9329
0.0003	6.0	768	0.2374	0.9329
0.0003	6.5	832	0.2374	0.9329
0.0003	7.0	896	0.2421	0.9329
0.0002	7.5	960	0.2315	0.9362
0.0002	8.0	1024	0.2387	0.9362
0.0001	8.5	1088	0.2378	0.9362
0.0001	9.0	1152	0.2405	0.9362
0.0001	9.5	1216	0.2395	0.9362
0.0001	10.0	1280	0.2381	0.9362
0.0001	10.5	1344	0.2377	0.9362
0.0001	11.0	1408	0.2379	0.9362
0.0001	11.5	1472	0.2430	0.9362
0.0001	12.0	1536	0.2367	0.9396
0.0001	12.5	1600	0.2403	0.9396
0.0001	13.0	1664	0.2412	0.9396
0.0001	13.5	1728	0.2437	0.9362
0.0001	14.0	1792	0.2425	0.9362
0.0001	14.5	1856	0.2435	0.9362
0.0001	15.0	1920	0.2431	0.9362
0.0001	15.5	1984	0.2437	0.9362
0.0001	16.0	2048	0.2437	0.9362
0.0001	16.5	2112	0.2414	0.9362
0.0001	17.0	2176	0.2497	0.9362
0.0	17.5	2240	0.2464	0.9362
0.0	18.0	2304	0.2490	0.9362
0.0	18.5	2368	0.2491	0.9362
0.0	19.0	2432	0.2490	0.9329
0.0	19.5	2496	0.2501	0.9329
0.0	20.0	2560	0.2500	0.9329
0.0	20.5	2624	0.2499	0.9329
0.0	21.0	2688	0.2509	0.9362
0.0	21.5	2752	0.2514	0.9362
0.0	22.0	2816	0.2552	0.9329
0.0	22.5	2880	0.2562	0.9329
0.0	23.0	2944	0.2536	0.9329
0.0	23.5	3008	0.2555	0.9329
0.0	24.0	3072	0.2554	0.9329
0.0	24.5	3136	0.2555	0.9329
0.0	25.0	3200	0.2557	0.9329
0.0	25.5	3264	0.2564	0.9362
0.0	26.0	3328	0.2567	0.9362
0.0	26.5	3392	0.2553	0.9396
0.0	27.0	3456	0.2610	0.9329
0.0	27.5	3520	0.2607	0.9329
0.0	28.0	3584	0.2607	0.9329
0.0	28.5	3648	0.2624	0.9329
0.0	29.0	3712	0.2620	0.9329
0.0	29.5	3776	0.2620	0.9329
0.0	30.0	3840	0.2620	0.9329

SodaXII/deit-base-patch16-224_rice-leaf-disease-augmented-v4_v5_fft

deit-base-patch16-224_rice-leaf-disease-augmented-v4_v5_fft