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
0.6648	1.0	60	0.6758	0.5692	0.5683	0.5692	0.5683	0.5683	0.5882	0.5484
0.4719	2.0	120	0.7770	0.5538	0.5538	0.5538	0.5550	0.5550	0.5538	0.5538
0.4561	3.0	180	0.8968	0.6154	0.5834	0.5888	0.6397	0.6039	0.6988	0.4681
0.3894	4.0	240	0.9257	0.6462	0.6289	0.6326	0.6611	0.6376	0.7089	0.5490
0.5350	5.0	300	1.0428	0.5846	0.5842	0.5848	0.5843	0.5844	0.5970	0.5714
0.2975	6.0	360	1.2756	0.5846	0.5309	0.5382	0.6164	0.5702	0.6897	0.3721
0.2085	7.0	420	1.3797	0.6154	0.5656	0.5724	0.6675	0.6010	0.7126	0.4186
0.5516	8.0	480	1.4162	0.5846	0.5501	0.5559	0.5982	0.5731	0.6747	0.4255
0.2673	9.0	540	1.2385	0.6769	0.6741	0.6755	0.6771	0.6741	0.7042	0.6441
0.2637	10.0	600	1.6694	0.5538	0.5251	0.5305	0.5544	0.5436	0.6420	0.4082
0.0985	11.0	660	1.3721	0.6615	0.6595	0.6583	0.6731	0.6665	0.6333	0.6857
0.3404	12.0	720	1.6439	0.6	0.5882	0.5914	0.6020	0.5935	0.6579	0.5185
0.1200	13.0	780	1.9890	0.5538	0.4961	0.5040	0.5653	0.5394	0.6667	0.3256
0.1339	14.0	840	1.9597	0.5846	0.5578	0.5628	0.5928	0.5745	0.6667	0.4490
0.0084	15.0	900	1.8334	0.6154	0.6150	0.6156	0.6151	0.6153	0.6269	0.6032
0.0071	16.0	960	1.8989	0.6	0.5833	0.5872	0.6050	0.5920	0.6667	0.5
0.0064	17.0	1020	1.9077	0.6	0.5953	0.5973	0.5989	0.5963	0.6389	0.5517
0.0059	18.0	1080	1.9129	0.6154	0.6121	0.6137	0.6144	0.6124	0.6479	0.5763
0.0054	19.0	1140	1.9895	0.6154	0.6121	0.6137	0.6144	0.6124	0.6479	0.5763
0.0052	20.0	1200	2.0151	0.6154	0.6121	0.6137	0.6144	0.6124	0.6479	0.5763
0.1108	21.0	1260	1.9640	0.6308	0.6286	0.6299	0.6298	0.6286	0.6571	0.6
0.0050	22.0	1320	1.9707	0.6308	0.6286	0.6299	0.6298	0.6286	0.6571	0.6

Mrsmetamorphosis/dementia-wav2vec-scientific-baseline

dementia-wav2vec-scientific-baseline