Training Loss	Epoch	Step	Validation Loss
0.7366	1.09	100	0.6059
0.5892	2.19	200	0.5104
0.5436	3.28	300	0.4585
0.4848	4.38	400	0.4333
0.4733	5.47	500	0.4276
0.4534	6.57	600	0.4194
0.454	7.66	700	0.4172
0.4489	8.76	800	0.4111
0.4401	9.85	900	0.4108
0.441	10.94	1000	0.4136
0.437	12.04	1100	0.4078
0.4333	13.13	1200	0.4067
0.4328	14.23	1300	0.4002
0.4289	15.32	1400	0.4015
0.4254	16.42	1500	0.4012
0.427	17.51	1600	0.4020
0.4273	18.6	1700	0.4008
0.4222	19.7	1800	0.3966
0.4305	20.79	1900	0.3998
0.4198	21.89	2000	0.3954
0.4225	22.98	2100	0.3961
0.4223	24.08	2200	0.3965
0.4201	25.17	2300	0.3922
0.4234	26.27	2400	0.3939
0.4213	27.36	2500	0.3930
0.4182	28.45	2600	0.3934
0.4119	29.55	2700	0.3925
0.4113	30.64	2800	0.3907
0.4131	31.74	2900	0.3907
0.4135	32.83	3000	0.3933
0.4142	33.93	3100	0.3909
0.4144	35.02	3200	0.3919
0.414	36.11	3300	0.3919
0.418	37.21	3400	0.3899
0.4094	38.3	3500	0.3897
0.4149	39.4	3600	0.3924
0.4105	40.49	3700	0.3905
0.413	41.59	3800	0.3895
0.4117	42.68	3900	0.3900
0.4096	43.78	4000	0.3888

GCYY/speecht5_finetuned_fleurs_zh_4000

speecht5_finetuned_fleurs_zh_4000