learning_rate: 0.002
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
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: 20

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.8393	1.0	72	0.9099	0.5703
0.6828	2.0	144	0.7748	0.6914
0.5156	3.0	216	0.5721	0.7637
0.3141	4.0	288	0.2799	0.9082
0.2024	5.0	360	0.5322	0.8066
0.0934	6.0	432	0.6212	0.8555
0.0307	7.0	504	0.1234	0.9551
0.0383	8.0	576	0.1279	0.9570
0.0195	9.0	648	0.1022	0.9746
0.0102	10.0	720	0.1057	0.9629
0.0081	11.0	792	0.0785	0.9766
0.0009	12.0	864	0.0641	0.9805
0.0023	13.0	936	0.0612	0.9824
0.0089	14.0	1008	0.0571	0.9746
0.0008	15.0	1080	0.0437	0.9902
0.0014	16.0	1152	0.0375	0.9883
0.0002	17.0	1224	0.0485	0.9824
0.0002	18.0	1296	0.0450	0.9863
0.0002	19.0	1368	0.0451	0.9863
0.0002	20.0	1440	0.0434	0.9902

Fuscosucof/fusco_alzheimerMRI_model

fusco_alzheimerMRI_model