optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Training results

Train Loss	Train Accuracy	Train Wermet	Validation Loss	Validation Accuracy	Validation Wermet	Epoch
5.0233	0.0115	1.6383	3.8616	0.0117	0.9516	0
4.4412	0.0127	0.8560	3.5410	0.0125	0.8971	1
4.0719	0.0138	0.8366	3.2944	0.0132	0.8706	2
3.8091	0.0146	0.8133	3.1691	0.0134	0.8487	3
3.6239	0.0152	0.7866	3.0647	0.0136	0.8282	4
3.4749	0.0156	0.7589	2.9835	0.0139	0.8049	5
3.3444	0.0161	0.7359	2.9351	0.0140	0.7979	6
3.2215	0.0165	0.7138	2.8468	0.0145	0.7589	7
3.0754	0.0172	0.6873	2.7530	0.0148	0.7413	8
2.8713	0.0181	0.6484	2.5226	0.0157	0.7017	9
2.5469	0.0197	0.5934	2.1931	0.0168	0.6285	10
2.0233	0.0225	0.4997	1.6411	0.0189	0.5215	11
1.3808	0.0264	0.3852	1.2401	0.0205	0.4238	12
0.9722	0.0290	0.3123	1.0195	0.0215	0.3682	13
0.7388	0.0305	0.2828	0.8773	0.0221	0.3322	14
0.5787	0.0317	0.2751	0.7970	0.0225	0.3083	15
0.4642	0.0325	0.2878	0.7315	0.0227	0.2964	16
0.3752	0.0332	0.4217	0.6897	0.0229	0.3297	17
0.3042	0.0338	0.7294	0.6572	0.0231	0.4453	18
0.2444	0.0343	1.1298	0.6369	0.0232	0.6637	19
0.1949	0.0348	1.6370	0.6180	0.0233	1.6119	20
0.1544	0.0352	1.6151	0.6149	0.0233	1.6843	21
0.1212	0.0355	1.3832	0.6066	0.0233	0.8721	22
0.0931	0.0357	1.2799	0.6034	0.0234	0.5109	23
0.0725	0.0359	1.0940	0.6102	0.0234	1.0111	24
0.0551	0.0361	1.2865	0.6000	0.0234	1.1393	25
0.0411	0.0361	1.8511	0.6037	0.0235	2.0574	26
0.0311	0.0362	1.7179	0.6018	0.0235	1.4847	27
0.0253	0.0362	0.9801	0.6010	0.0235	0.4457	28
0.0231	0.0362	0.9376	0.6046	0.0235	0.9247	29
0.0196	0.0362	0.6466	0.6078	0.0235	0.5271	30
0.0177	0.0362	0.4041	0.6155	0.0235	0.4352	31
0.0139	0.0362	0.4202	0.6037	0.0236	0.5585	32
0.0137	0.0362	0.8151	0.6015	0.0236	1.8476	33
0.0122	0.0362	3.4515	0.6043	0.0236	3.8210	34
0.0098	0.0362	1.1787	0.5985	0.0236	0.8094	35
0.0071	0.0362	0.9920	0.5992	0.0236	0.8755	36
0.0055	0.0362	2.4665	0.6047	0.0236	2.0127	37
0.0124	0.0362	4.2468	0.6089	0.0236	2.8886	38
0.0109	0.0362	2.0177	0.6097	0.0236	0.3417	39
0.0073	0.0362	0.9927	0.6057	0.0237	2.5519	40
0.0080	0.0362	1.7341	0.6099	0.0236	1.3119	41
0.0063	0.0362	2.4288	0.6058	0.0237	1.3465	42
0.0038	0.0362	1.4535	0.6022	0.0237	1.6804	43
0.0028	0.0362	2.2629	0.6001	0.0238	3.4388	44
0.0021	0.0362	3.5877	0.6018	0.0238	2.6165	45
0.0017	0.0362	3.0080	0.6043	0.0238	2.6827	46
0.0061	0.0362	2.5182	0.6545	0.0235	0.2316	47
0.0126	0.0362	0.2097	0.6206	0.0236	0.6194	48
0.0071	0.0362	0.3045	0.6047	0.0237	0.7476	49
0.0053	0.0362	1.2045	0.6010	0.0238	0.6553	50
0.0040	0.0362	0.2626	0.5964	0.0238	0.7027	51
0.0021	0.0362	0.5023	0.5950	0.0238	0.3812	52
0.0014	0.0362	0.7108	0.6233	0.0237	1.4647	53
0.0017	0.0362	0.3475	0.6087	0.0238	0.2213	54
0.0011	0.0362	0.1825	0.5984	0.0239	0.2391	55
0.0021	0.0362	1.0757	0.6211	0.0238	7.3766	56
0.0078	0.0362	2.1996	0.6349	0.0237	5.2774	57
0.0071	0.0362	1.2499	0.6225	0.0237	0.9927	58
0.0045	0.0362	5.3986	0.6088	0.0238	27.5186	59
0.0027	0.0362	9.4813	0.6035	0.0239	0.2741	60
0.0015	0.0362	20.4251	0.6005	0.0239	73.4792	61
0.0012	0.0362	17.1227	0.6148	0.0238	4.2506	62
0.0024	0.0362	3.7081	0.6249	0.0238	5.8937	63
0.0050	0.0362	2.2590	0.6136	0.0238	9.6813	64
0.0026	0.0362	3.1954	0.6060	0.0239	15.4541	65
0.0032	0.0362	5.1838	0.6233	0.0238	10.2566	66
0.0053	0.0362	3.1310	0.6178	0.0239	1.4216	67
0.0030	0.0362	1.1169	0.6106	0.0239	0.9273	68
0.0018	0.0362	0.9183	0.6034	0.0239	1.7868	69
0.0011	0.0362	0.3862	0.6116	0.0239	0.5909	70
0.0014	0.0362	0.6235	0.6143	0.0239	0.9794	71
0.0025	0.0362	0.5583	0.6510	0.0237	0.3524	72
0.0058	0.0362	1.9614	0.6179	0.0239	1.2838	73
0.0029	0.0362	0.6039	0.6222	0.0239	3.0512	74
0.0013	0.0362	0.8265	0.6088	0.0239	1.1328	75
0.0008	0.0362	0.9354	0.6003	0.0240	4.7201	76
0.0008	0.0362	2.7001	0.6041	0.0240	6.5868	77
0.0005	0.0362	1.6010	0.6025	0.0240	3.0820	78
0.0003	0.0362	1.0294	0.6021	0.0240	2.5022	79

Framework versions

Transformers 4.33.0.dev0
TensorFlow 2.13.0
Tokenizers 0.13.3

bigmorning/whisper_syl_cv12_pad_lob100__0080

whisper_syl_cv12_pad_lob100__0080

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

bigmorning/
whisper_syl_cv12_pad_lob100__0080