Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.0967	0.9997	1964	0.0914	63.7531	31.8065
0.0579	2.0	3929	0.0812	60.0877	29.8874
0.0312	2.9997	5893	0.0763	60.1190	30.3982
0.033	4.0	7858	0.0802	57.7694	29.7525
0.0188	4.9997	9822	0.0815	60.0877	30.4146
0.0192	6.0	11787	0.0856	56.6103	29.8345
0.0112	6.9997	13751	0.0814	55.7644	29.6521
0.0117	8.0	15716	0.0890	56.1090	29.0684
0.0067	8.9997	17680	0.0900	55.9837	29.1760
0.0072	10.0	19645	0.0990	56.0464	29.3749
0.0053	10.9997	21609	0.0968	54.9499	29.1195
0.0044	12.0	23574	0.1001	55.2005	28.6123
0.003	12.9997	25538	0.0996	56.7356	29.1596
0.0035	14.0	27503	0.1014	55.0439	29.0830
0.0027	14.9997	29467	0.1040	54.6679	28.3150
0.0032	16.0	31432	0.0994	54.5426	29.0538
0.0043	16.9997	33396	0.1059	53.9160	28.9535
0.0017	18.0	35361	0.1087	54.1980	28.8385
0.0018	18.9997	37325	0.1103	54.2607	28.6543
0.0007	20.0	39290	0.1105	54.5739	28.8896
0.0006	20.9997	41254	0.1121	54.0100	28.7546
0.0007	22.0	43219	0.1081	53.0075	28.8185
0.001	22.9997	45183	0.1075	53.9474	28.7948
0.0002	24.0	47148	0.1150	52.9762	28.5886
0.0002	24.9997	49112	0.1164	52.6316	28.6397
0.0002	26.0	51077	0.1175	52.8195	28.7875
0.0003	26.9997	53041	0.1169	52.5063	28.6142
0.0	28.0	55006	0.1201	52.2556	28.4153
0.0	28.9997	56970	0.1209	52.1303	28.3934
0.0	29.9924	58920	0.1205	52.0677	28.3168

tranha/whisper-finetuned-v3_30e_augment_new_168_v2

whisper-finetuned-v3_30e_augment_new_168_v2