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
5.6249	0.0091	1.7162	4.2965	0.0094	0.9447	0
4.9223	0.0099	0.9041	4.1562	0.0097	0.9327	1
4.6814	0.0107	0.8376	3.9245	0.0103	0.8927	2
4.4407	0.0114	0.8311	3.7252	0.0107	0.8775	3
4.2445	0.0119	0.8228	3.6283	0.0108	0.8695	4
4.0889	0.0123	0.8067	3.5310	0.0110	0.8916	5
3.9575	0.0127	0.7908	3.4478	0.0113	0.8407	6
3.8547	0.0130	0.7781	3.4227	0.0113	0.8670	7
3.7599	0.0133	0.7654	3.3519	0.0115	0.8375	8
3.6763	0.0136	0.7543	3.3183	0.0116	0.8678	9
3.6006	0.0138	0.7421	3.2581	0.0117	0.8120	10
3.5300	0.0140	0.7296	3.2415	0.0118	0.8257	11
3.4554	0.0143	0.7179	3.2163	0.0119	0.8078	12
3.3930	0.0145	0.7057	3.1612	0.0121	0.7758	13
3.3218	0.0148	0.6946	3.1357	0.0122	0.7760	14

bigmorning/whisper_input_decoder_shift_r_labels_with_force__0015

whisper_input_decoder_shift_r_labels_with_force__0015