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
0.2004	0.4982	0.3687	0.6907	0.1488	0.4239	0.3023	0.7428	0
0.1118	0.4054	0.2460	0.7552	0.0783	0.3502	0.1873	0.8501	1
0.0531	0.3256	0.1543	0.8049	0.0489	0.3257	0.1489	0.8412	2
0.0342	0.2826	0.1151	0.7986	0.0328	0.2697	0.1215	0.9246	3
0.0266	0.2587	0.0962	0.8802	0.0713	0.2884	0.1297	0.8729	4
0.0543	0.3022	0.1388	0.7724	0.0609	0.3238	0.1524	0.7723	5
0.0380	0.2756	0.1114	0.8822	0.0421	0.1984	0.0700	0.9070	6
0.0593	0.3134	0.1537	0.8764	0.2335	0.5183	0.4636	0.7816	7
0.2330	0.5234	0.4182	-1.5020	0.2656	0.5726	0.3948	0.5533	8
0.2359	0.5149	0.4195	0.7932	0.2347	0.5263	0.4461	0.7502	9
0.2341	0.5204	0.4268	0.8100	0.2341	0.5509	0.4307	0.7220	10
0.2335	0.5250	0.4235	0.8053	0.2328	0.5433	0.4334	0.7322	11
0.2319	0.5217	0.4244	0.7825	0.2352	0.5549	0.4296	0.7158	12
0.2323	0.5243	0.4234	0.7877	0.2346	0.5536	0.4286	0.7170	13
0.2338	0.5263	0.4258	0.7899	0.2340	0.5490	0.4329	0.7254	14

Svetlana0303/Regression_bert_aug_CustomLoss_2

Regression_bert_aug_CustomLoss_2