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
0.2871	0.1015	3.4893	0.3344	0.0624	9.6494	15
0.2515	0.1027	3.6567	0.3234	0.0627	9.4059	16
0.2233	0.1037	3.8196	0.3058	0.0631	9.6761	17
0.1980	0.1046	3.9329	0.2916	0.0634	9.8163	18
0.1762	0.1054	4.0727	0.2885	0.0636	9.9926	19

bigmorning/train_from_raw_cv12_true_suppress__0020

train_from_raw_cv12_true_suppress__0020