optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-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
2.3569	0.0439	2.6429	1.7869	0.0339	10.1374	0
1.7502	0.0561	3.2762	1.6607	0.0360	9.6159	1
1.6268	0.0595	3.0493	1.5698	0.0374	8.6767	2
1.5533	0.0614	2.3917	1.4965	0.0387	7.2278	3
1.4953	0.0631	1.8208	1.4549	0.0397	4.4667	4
1.4388	0.0647	1.7488	1.3669	0.0411	6.2695	5
1.3532	0.0670	1.6950	1.2392	0.0438	7.1167	6
1.2122	0.0710	1.6785	1.0705	0.0471	4.7509	7
1.0193	0.0768	1.8537	0.9080	0.0502	5.7317	8
0.8466	0.0823	2.3126	0.7098	0.0543	5.7454	9
0.7039	0.0870	2.3440	0.5934	0.0567	6.9383	10
0.5754	0.0914	2.3564	0.5071	0.0586	6.6276	11
0.4749	0.0949	2.6925	0.4391	0.0601	6.8169	12
0.3910	0.0978	3.0462	0.3908	0.0612	8.1284	13
0.3311	0.0999	3.3402	0.3658	0.0617	8.6094	14

bigmorning/train_from_raw_cv12_true_suppress__0015

train_from_raw_cv12_true_suppress__0015