learning_rate: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
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 Nodementia	F1 Dementia
0.6932	1.0	60	0.6978	0.5231	0.3434	0.3593	0.2615	0.5	0.6869	0.0
0.5250	2.0	120	0.8251	0.5231	0.4144	0.4261	0.5127	0.5043	0.6667	0.1622
0.6428	3.0	180	0.8195	0.5538	0.5321	0.5275	0.5839	0.5650	0.4314	0.6329
0.6114	4.0	240	0.9155	0.5846	0.5578	0.5628	0.5928	0.5745	0.6667	0.4490
0.7413	5.0	300	0.8255	0.5538	0.5251	0.5197	0.5933	0.5664	0.4082	0.6420
0.4490	6.0	360	1.0680	0.5692	0.5376	0.5432	0.5754	0.5583	0.6585	0.4167
0.1878	7.0	420	1.1317	0.5846	0.5842	0.5836	0.5881	0.5873	0.5714	0.5970
0.5920	8.0	480	0.9601	0.7077	0.7006	0.7027	0.7165	0.7021	0.7467	0.6545
0.3057	9.0	540	1.6211	0.5385	0.5294	0.5264	0.5513	0.5460	0.4643	0.5946
0.3791	10.0	600	1.4120	0.6	0.5991	0.5983	0.6052	0.6034	0.5806	0.6176
0.0169	11.0	660	1.2624	0.6923	0.6905	0.6916	0.6920	0.6902	0.7143	0.6667
0.1613	12.0	720	1.4342	0.6462	0.6431	0.6446	0.6458	0.6433	0.6761	0.6102
0.1748	13.0	780	1.3063	0.6923	0.6905	0.6916	0.6920	0.6902	0.7143	0.6667
0.0094	14.0	840	1.3219	0.7231	0.7214	0.7224	0.7232	0.7211	0.7429	0.7
0.0078	15.0	900	1.3665	0.7231	0.7214	0.7224	0.7232	0.7211	0.7429	0.7
0.0069	16.0	960	1.4864	0.6923	0.6922	0.6920	0.6952	0.6945	0.6875	0.6970
0.0062	17.0	1020	1.5229	0.6923	0.6917	0.6910	0.6993	0.6959	0.6774	0.7059
0.0694	18.0	1080	1.4896	0.7077	0.7077	0.7077	0.7092	0.7092	0.7077	0.7077
0.0055	19.0	1140	1.8357	0.6308	0.6236	0.6211	0.6543	0.6385	0.5714	0.6757
0.1153	20.0	1200	1.6075	0.6923	0.6917	0.6910	0.6993	0.6959	0.6774	0.7059
0.0050	21.0	1260	1.5950	0.6923	0.6917	0.6910	0.6993	0.6959	0.6774	0.7059
0.0958	22.0	1320	1.5663	0.6923	0.6922	0.6920	0.6952	0.6945	0.6875	0.6970

Mrsmetamorphosis/dementia-wav2vec-scientific-specaugment-V3

dementia-wav2vec-scientific-specaugment-V3