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
0.2614	0.5480	0.4524	0.7369	0.2408	0.5194	0.4609	0.7578	0
0.2442	0.5374	0.4362	0.7109	0.2334	0.5376	0.4391	0.7399	1
0.2431	0.5349	0.4356	0.7503	0.2432	0.5234	0.4657	0.7591	2
0.2386	0.5250	0.4264	0.7926	0.2348	0.5525	0.4316	0.7203	3
0.2409	0.5342	0.4325	0.7166	0.2431	0.5233	0.4656	0.7591	4
0.2400	0.5298	0.4310	0.7553	0.2358	0.5250	0.4490	0.7513	5
0.2384	0.5274	0.4299	0.7791	0.2341	0.5491	0.4329	0.7253	6
0.2413	0.5306	0.4335	0.7593	0.2365	0.5583	0.4299	0.7109	7
0.2381	0.5299	0.4298	0.7784	0.2335	0.5452	0.4347	0.7306	8
0.2379	0.5280	0.4297	0.7575	0.2335	0.5448	0.4349	0.7312	9
0.2374	0.5306	0.4309	0.8098	0.2334	0.5441	0.4352	0.7321	10
0.2381	0.5302	0.4303	0.7428	0.2337	0.5466	0.4340	0.7288	11
0.2376	0.5323	0.4275	0.7806	0.2333	0.5411	0.4369	0.7358	12
0.2339	0.5277	0.4217	0.7986	0.2363	0.5232	0.4506	0.7525	13
0.2368	0.5301	0.4296	0.7669	0.2410	0.5680	0.4286	0.6930	14

Svetlana0303/Regression_albert_aug_CustomLoss_3

Regression_albert_aug_CustomLoss_3