optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 1e-04, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32

Train Loss	Train Mae	Train Mse	Train R2-score	Validation Loss	Validation Mae	Validation Mse	Validation R2-score	Epoch
0.2988	0.4759	0.3361	0.6079	0.1967	0.3939	0.2542	0.9026	0
0.1715	0.4010	0.2357	0.6812	0.1680	0.4014	0.2478	0.9049	1
0.0903	0.3374	0.1532	0.8384	0.1354	0.3432	0.1971	0.9210	2
0.0636	0.3139	0.1272	0.4117	0.1538	0.4066	0.2304	0.9034	3
0.0746	0.3142	0.1294	0.9220	0.1184	0.3589	0.2015	0.9224	4
0.0604	0.2837	0.1119	0.9439	0.1268	0.3450	0.1994	0.9209	5
0.0556	0.2660	0.1049	0.6002	0.1193	0.3037	0.1704	0.9265	6
0.0541	0.2581	0.1007	0.8081	0.1125	0.3350	0.1743	0.9229	7
0.0532	0.2679	0.1044	0.8917	0.1109	0.3131	0.1757	0.9311	8
0.0535	0.2673	0.1031	0.6896	0.1142	0.3549	0.1957	0.9230	9

helling100/Regression_bert_10

Regression_bert_10