Training Loss	Epoch	Step	Validation Loss	Wer
3.6731	0.67	500	2.7553	1.0
1.0656	1.34	1000	0.5963	0.5297
0.5065	2.01	1500	0.4898	0.4654
0.3212	2.68	2000	0.4265	0.4331
0.2492	3.35	2500	0.4020	0.4073
0.2116	4.02	3000	0.4152	0.3935
0.1719	4.69	3500	0.4258	0.3858
0.1544	5.36	4000	0.4542	0.3818
0.1474	6.03	4500	0.4612	0.3821
0.1248	6.7	5000	0.4813	0.3749
0.1148	7.37	5500	0.5131	0.3772
0.1145	8.04	6000	0.5383	0.3714
0.0986	8.71	6500	0.5288	0.3777
0.091	9.38	7000	0.5071	0.3869
0.0789	10.05	7500	0.5256	0.3819
0.0747	10.72	8000	0.5287	0.3711
0.0687	11.39	8500	0.5179	0.3754
0.072	12.06	9000	0.7438	0.3702
0.0646	12.73	9500	0.5293	0.3777
0.0621	13.4	10000	0.5536	0.3692
0.0587	14.08	10500	0.5214	0.3712
0.0538	14.75	11000	0.4853	0.3694
0.0614	15.42	11500	0.5439	0.3637
0.0493	16.09	12000	0.5087	0.3649
0.0441	16.76	12500	0.5736	0.3621
0.038	17.43	13000	0.7295	0.3650
0.0397	18.1	13500	0.5722	0.3586
0.0357	18.77	14000	0.5701	0.3616
0.0349	19.44	14500	0.5661	0.3599
0.0318	20.11	15000	0.5346	0.3572
0.0288	20.78	15500	0.6972	0.3597
0.0331	21.45	16000	0.5288	0.3576
0.0304	22.12	16500	0.5813	0.3551
0.0268	22.79	17000	0.5439	0.3557
0.0255	23.46	17500	0.5790	0.3531
0.0244	24.13	18000	0.5794	0.3493
0.0335	24.8	18500	0.5943	0.3515
0.026	25.47	19000	0.5737	0.3462
0.0199	26.14	19500	0.5794	0.3469
0.0213	26.81	20000	0.5955	0.3448
0.0199	27.48	20500	0.5927	0.3407
0.0143	28.15	21000	0.5975	0.3415
0.0167	28.82	21500	0.5835	0.3411
0.0141	29.49	22000	0.5916	0.3408

gazzehamine/data-augmentation-whitenoise-timit-2310

data-augmentation-whitenoise-timit-2310