optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 1e-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

Train Loss	Train Accuracy	Train Wermet	Validation Loss	Validation Accuracy	Validation Wermet	Epoch
2.5942	0.0399	3.6402	1.9371	0.0319	16.1531	0
1.8766	0.0532	6.8384	1.7437	0.0343	15.0408	1
1.7251	0.0570	5.9150	1.6630	0.0358	10.5002	2
1.6457	0.0591	5.1153	1.5993	0.0369	10.4737	3
1.5935	0.0604	4.8231	1.5582	0.0375	8.5794	4
1.5526	0.0615	4.1987	1.5103	0.0385	9.4130	5
1.5165	0.0625	4.0179	1.4812	0.0391	6.6025	6
1.4868	0.0633	3.6770	1.4465	0.0399	6.7562	7
1.4565	0.0642	3.3851	1.4326	0.0402	6.3327	8
1.4271	0.0650	3.2883	1.3788	0.0413	6.5933	9
1.3965	0.0659	3.0822	1.3558	0.0415	5.7852	10
1.3541	0.0671	2.8659	1.2958	0.0429	5.2978	11
1.3066	0.0684	2.4942	1.2323	0.0440	4.9600	12
1.2401	0.0703	2.0745	1.1430	0.0456	3.6837	13
1.1549	0.0728	1.6202	1.0353	0.0478	2.9217	14
1.0653	0.0755	1.3041	0.9650	0.0492	2.0673	15
0.9765	0.0783	1.0922	0.8766	0.0510	2.7441	16
0.8977	0.0808	1.2561	0.8053	0.0524	3.6015	17
0.8246	0.0831	1.2955	0.7391	0.0537	3.2922	18
0.7591	0.0852	1.3109	0.7221	0.0541	3.6946	19

bigmorning/whisper_char_cv12_pad_lob100_low_sup__0020

whisper_char_cv12_pad_lob100_low_sup__0020