metadata

tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: bert_12_layer_model_v2_complete_training
    results: []

bert_12_layer_model_v2_complete_training

This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:

Model description

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy
6.1798	0.11	10000	6.1719	0.1485
6.0527	0.22	20000	6.0469	0.1502
5.6176	0.33	30000	5.5703	0.1772
3.8786	0.44	40000	3.7441	0.3851
3.4104	0.55	50000	3.3105	0.4327
3.1802	0.66	60000	3.0781	0.4601
3.0115	0.76	70000	2.9141	0.4804
2.8893	0.87	80000	2.7930	0.4956
2.7983	0.98	90000	2.6973	0.5081
2.7039	1.09	100000	2.6016	0.5215
2.5658	1.2	110000	2.4551	0.5448
2.4846	1.31	120000	2.3730	0.5576
2.4284	1.42	130000	2.3164	0.5663
2.3723	1.53	140000	2.2734	0.5726
2.3382	1.64	150000	2.2344	0.5787
2.3084	1.75	160000	2.2031	0.5829
2.2773	1.86	170000	2.1758	0.5872
2.2492	1.97	180000	2.1484	0.5909
2.2261	2.08	190000	2.1230	0.5943
2.1961	2.18	200000	2.1016	0.5976
2.1838	2.29	210000	2.0820	0.6004
2.164	2.4	220000	2.0645	0.6031
2.1456	2.51	230000	2.0469	0.6052
2.1308	2.62	240000	2.0293	0.6080
2.1161	2.73	250000	2.0137	0.6101
2.1052	2.84	260000	2.0020	0.6120
2.0856	2.95	270000	1.9902	0.6142
2.0743	3.06	280000	1.9775	0.6159
2.0598	3.17	290000	1.9678	0.6171
2.0492	3.28	300000	1.9561	0.6190
2.0395	3.39	310000	1.9453	0.6203
2.0328	3.5	320000	1.9365	0.6217
2.0204	3.6	330000	1.9287	0.6230
2.0142	3.71	340000	1.9199	0.6243
2.0021	3.82	350000	1.9121	0.6257
2.006	3.93	360000	1.9043	0.6264
1.9917	4.04	370000	1.8984	0.6274
1.9881	4.15	380000	1.8916	0.6284
1.9843	4.26	390000	1.8867	0.6291
1.977	4.37	400000	1.8809	0.6301
1.9697	4.48	410000	1.8770	0.6306
1.9655	4.59	420000	1.8740	0.6313
1.9649	4.7	430000	1.8691	0.6320
1.9622	4.81	440000	1.8662	0.6324
1.9539	4.92	450000	1.8623	0.6328