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
0.6577	1.0	60	0.6785	0.6	0.5775	0.582	0.6093	0.5906	0.675	0.48
0.6029	2.0	120	0.6883	0.5538	0.5430	0.5463	0.5513	0.5479	0.6133	0.4727
0.7167	3.0	180	0.8361	0.4769	0.4708	0.4682	0.4817	0.4829	0.4138	0.5278
0.5111	4.0	240	0.8049	0.5385	0.5249	0.5286	0.5347	0.5318	0.6053	0.4444
0.5229	5.0	300	0.9100	0.5846	0.5309	0.5235	0.7123	0.6015	0.3721	0.6897
0.5605	6.0	360	1.0275	0.5538	0.5430	0.5463	0.5513	0.5479	0.6133	0.4727
0.3691	7.0	420	1.1598	0.5538	0.5534	0.5528	0.5570	0.5565	0.5397	0.5672
0.1476	8.0	480	1.2150	0.5692	0.5667	0.5682	0.5675	0.5669	0.6	0.5333
0.1799	9.0	540	1.2925	0.6154	0.6061	0.6033	0.6412	0.6238	0.5455	0.6667
0.2708	10.0	600	1.3388	0.6308	0.6199	0.6169	0.6639	0.6399	0.5556	0.6842
0.0982	11.0	660	1.5823	0.5692	0.5691	0.5694	0.5696	0.5697	0.5758	0.5625
0.1063	12.0	720	1.8316	0.5231	0.5157	0.5185	0.5192	0.5185	0.5753	0.4561
0.0269	13.0	780	1.5847	0.5846	0.5846	0.5846	0.5859	0.5859	0.5846	0.5846
0.0186	14.0	840	1.5050	0.6462	0.6458	0.6453	0.6504	0.6490	0.6349	0.6567
0.1148	15.0	900	1.5774	0.6154	0.6154	0.6154	0.6167	0.6167	0.6154	0.6154
0.0163	16.0	960	1.6449	0.6	0.5953	0.5933	0.6138	0.6063	0.5517	0.6389
0.0150	17.0	1020	1.7812	0.5692	0.5683	0.5692	0.5683	0.5683	0.5882	0.5484
0.0143	18.0	1080	1.7761	0.5846	0.5842	0.5848	0.5843	0.5844	0.5970	0.5714

Mrsmetamorphosis/dementia-wav2vec-scientific-specaugment-V2

dementia-wav2vec-scientific-specaugment-V2