learning_rate: 1e-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: 18

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	F1 Weighted	Precision Macro	Recall Macro	F1 Nodementia	F1 Dementia
0.6842	1.0	60	0.6854	0.6154	0.5906	0.5952	0.6312	0.6053	0.6914	0.4898
0.6456	2.0	120	0.6754	0.5846	0.5700	0.5736	0.5862	0.5773	0.6494	0.4906
0.5697	3.0	180	0.7744	0.5231	0.3705	0.3848	0.5119	0.5014	0.6804	0.0606
0.4188	4.0	240	0.9990	0.5231	0.3434	0.3593	0.2615	0.5	0.6869	0.0
0.3494	5.0	300	0.9480	0.6308	0.6154	0.6189	0.6402	0.6229	0.6923	0.5385
0.1976	6.0	360	1.3898	0.5692	0.4944	0.5034	0.6101	0.5527	0.6889	0.3
0.1866	7.0	420	1.4387	0.6	0.5626	0.5685	0.6233	0.5878	0.6905	0.4348
0.0260	8.0	480	1.4683	0.6308	0.5963	0.6017	0.6667	0.6186	0.7143	0.4783
0.0194	9.0	540	1.8894	0.5385	0.5357	0.5374	0.5364	0.5361	0.5714	0.5
0.1581	10.0	600	1.8331	0.6	0.5706	0.5758	0.6152	0.5892	0.6829	0.4583
0.0124	11.0	660	2.0844	0.5385	0.5192	0.5237	0.5346	0.5304	0.6154	0.4231
0.0109	12.0	720	1.9420	0.6	0.5706	0.5758	0.6152	0.5892	0.6829	0.4583
0.0098	13.0	780	2.0444	0.5692	0.5565	0.5600	0.5683	0.5626	0.6316	0.4815
0.0092	14.0	840	2.0311	0.6	0.5706	0.5758	0.6152	0.5892	0.6829	0.4583
0.0083	15.0	900	2.0656	0.5692	0.545	0.5498	0.5721	0.5598	0.65	0.44
0.0079	16.0	960	2.0817	0.5846	0.5644	0.5687	0.5889	0.5759	0.6582	0.4706
0.0079	17.0	1020	2.0789	0.5846	0.5644	0.5687	0.5889	0.5759	0.6582	0.4706
0.0076	18.0	1080	2.0786	0.6	0.5833	0.5872	0.6050	0.5920	0.6667	0.5

Mrsmetamorphosis/dementia-wav2vec-scientific-baseline-v4

dementia-wav2vec-scientific-baseline-v4