learning_rate: 3e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 40
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0971	0.9917	30	1.1029	0.3627
1.0806	1.9835	60	1.0783	0.4510
1.0378	2.9752	90	1.0542	0.4314
1.0563	4.0	121	1.0302	0.4902
1.0073	4.9917	151	1.2232	0.4412
1.0167	5.9835	181	1.1031	0.3824
1.0349	6.9752	211	1.0827	0.3824
1.0321	8.0	242	1.0226	0.4314
1.023	8.9917	272	1.0016	0.4608
0.9698	9.9835	302	1.0380	0.4118
0.9705	10.9752	332	1.0293	0.4020
0.9894	12.0	363	0.9970	0.4608
0.9792	12.9917	393	1.0357	0.3824
0.9743	13.9835	423	1.0314	0.4510
0.9926	14.9752	453	0.9906	0.4510
0.9766	16.0	484	1.0058	0.4020
0.9501	16.9917	514	1.0387	0.3529
0.9555	17.9835	544	0.9945	0.4804
0.9454	18.9752	574	1.0198	0.4706
0.9405	20.0	605	1.0239	0.4510
0.939	20.9917	635	0.9818	0.4902
0.9415	21.9835	665	0.9706	0.4706
0.9322	22.9752	695	1.0117	0.4510
0.9477	24.0	726	0.9799	0.4412
0.9348	24.9917	756	1.0015	0.4412
0.9502	25.9835	786	0.9883	0.4902
0.9018	26.9752	816	1.0123	0.5098
0.9141	28.0	847	0.9734	0.5098
0.9003	28.9917	877	0.9738	0.5294
0.8835	29.9835	907	0.9396	0.5294
0.8848	30.9752	937	0.9741	0.5098
0.8941	32.0	968	0.9719	0.5196
0.8651	32.9917	998	0.9700	0.4902
0.826	33.9835	1028	0.9783	0.5196
0.8421	34.9752	1058	0.9607	0.5294
0.8372	36.0	1089	0.9448	0.5392
0.8647	36.9917	1119	0.9314	0.5392
0.8074	37.9835	1149	0.9375	0.5294
0.8106	38.9752	1179	0.9404	0.5490
0.8217	39.6694	1200	0.9405	0.5588

penkichiai/Riku_Wav2Vec

Riku_Wav2Vec