learning_rate: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 22

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	F1 Weighted	Precision Macro	Recall Macro	F1 Control	F1 Dementia
0.8072	1.0	96	1.0510	0.6364	0.5810	0.5879	0.7259	0.6211	0.4286	0.7333
0.9306	2.0	192	1.1422	0.6818	0.6812	0.6818	0.6812	0.6812	0.6667	0.6957
0.3068	3.0	288	1.5537	0.6136	0.6134	0.6130	0.6167	0.6159	0.6222	0.6047
0.8149	4.0	384	1.5585	0.6364	0.6364	0.6364	0.6377	0.6377	0.6364	0.6364
0.2947	5.0	480	2.0358	0.5909	0.5901	0.5909	0.5901	0.5901	0.5714	0.6087

Mrsmetamorphosis/dementia-wav2vec-scientific-baseline-V2

dementia-wav2vec-scientific-baseline-V2