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
5.4192	0.0107	1.1095	3.9799	0.0114	0.9502	0
4.7193	0.0116	0.8751	3.9335	0.0114	0.9414	1
4.6743	0.0117	0.8498	3.9949	0.0112	0.9682	2
4.6508	0.0117	0.8454	3.8900	0.0114	0.9453	3
4.6308	0.0118	0.8337	3.8853	0.0114	0.9495	4
4.6102	0.0118	0.8215	3.8884	0.0115	0.9205	5
4.5940	0.0118	0.8132	3.8409	0.0116	0.9007	6
4.5703	0.0119	0.7971	3.8224	0.0116	0.9098	7
4.5470	0.0120	0.7822	3.8013	0.0116	0.8938	8
4.5219	0.0120	0.7679	3.7776	0.0117	0.8829	9
4.4859	0.0121	0.7519	3.7360	0.0118	0.8411	10
4.4408	0.0123	0.7412	3.6972	0.0118	0.8593	11
4.3774	0.0124	0.7240	3.6035	0.0121	0.8234	12
4.2906	0.0127	0.7168	3.5057	0.0123	0.8130	13
4.1748	0.0130	0.7090	3.3528	0.0127	0.7856	14
4.0214	0.0135	0.7048	3.2086	0.0130	0.7786	15
3.8434	0.0140	0.6918	3.0436	0.0134	0.7466	16
3.6564	0.0146	0.6797	2.8693	0.0138	0.7348	17
3.4565	0.0152	0.6658	2.6967	0.0143	0.7131	18
3.2849	0.0158	0.6496	2.5221	0.0148	0.6792	19

bigmorning/whisper_input_decoder_no_lob_with_force__0020

whisper_input_decoder_no_lob_with_force__0020