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
5.2930	0.0113	2.0658	3.9415	0.0117	0.9401	0
4.6215	0.0121	0.8917	3.7803	0.0120	0.9294	1
4.4086	0.0128	0.8403	3.6070	0.0124	0.9223	2
4.1842	0.0135	0.8337	3.4291	0.0128	0.8867	3
3.9981	0.0141	0.8182	3.3251	0.0131	0.8750	4
3.8531	0.0145	0.8058	3.2385	0.0133	0.8699	5
3.7345	0.0149	0.7925	3.1751	0.0134	0.8665	6
3.6307	0.0152	0.7851	3.1031	0.0136	0.8507	7
3.5437	0.0155	0.7717	3.0752	0.0138	0.8286	8
3.4649	0.0157	0.7651	3.0334	0.0139	0.8417	9

bigmorning/whisper_syl_cv12_pad_lob100_low__0010

whisper_syl_cv12_pad_lob100_low__0010