optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 1e-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
5.0795	0.0116	43.8776	4.4395	0.0122	35.4119	0
4.3059	0.0131	29.7976	4.0311	0.0143	26.0070	1
3.8871	0.0148	19.3999	3.6500	0.0158	19.2186	2
3.0943	0.0184	18.3704	2.3327	0.0226	22.5034	3
1.8954	0.0240	16.2471	1.4889	0.0266	14.2782	4
1.2781	0.0269	8.4169	1.1273	0.0283	7.4581	5
0.9797	0.0283	4.8739	0.9481	0.0292	3.9451	6
0.8006	0.0293	2.7433	0.8371	0.0297	2.3065	7
0.6764	0.0299	2.1646	0.7554	0.0301	1.3005	8
0.5820	0.0305	1.5323	0.6980	0.0305	1.1238	9
0.5078	0.0310	1.4328	0.6617	0.0306	1.2793	10
0.4455	0.0314	1.4891	0.6252	0.0309	1.6833	11
0.3927	0.0317	1.6700	0.6123	0.0310	2.1091	12
0.3473	0.0321	1.6245	0.5851	0.0311	1.4109	13
0.3071	0.0324	1.7931	0.5766	0.0312	1.5663	14

bigmorning/whisper_werbest

whisper_werbest