Model description

More information needed

Intended uses & limitations

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0558	1.0	967	0.0281	0.9919	0.9909	0.9914	0.9917
0.0391	2.0	1934	0.0200	0.9941	0.9930	0.9936	0.9940
0.0295	3.0	2901	0.0141	0.9952	0.9941	0.9946	0.9957
0.0239	4.0	3868	0.0107	0.9957	0.9952	0.9954	0.9968
0.0201	5.0	4835	0.0075	0.9957	0.9962	0.9960	0.9977
0.0174	6.0	5802	0.0054	0.9984	0.9968	0.9976	0.9984
0.0138	7.0	6769	0.0042	0.9979	0.9973	0.9976	0.9988
0.0117	8.0	7736	0.0028	0.9984	0.9979	0.9981	0.9992
0.0098	9.0	8703	0.0021	0.9979	0.9979	0.9979	0.9994
0.0081	10.0	9670	0.0014	0.9984	0.9984	0.9984	0.9996
0.0073	11.0	10637	0.0011	0.9989	0.9984	0.9987	0.9997
0.006	12.0	11604	0.0009	0.9989	0.9984	0.9987	0.9998
0.0056	13.0	12571	0.0006	0.9989	0.9984	0.9987	0.9999
0.0045	14.0	13538	0.0004	0.9989	0.9984	0.9987	0.9999
0.0039	15.0	14505	0.0003	0.9989	0.9984	0.9987	0.9999
0.0033	16.0	15472	0.0003	0.9989	0.9984	0.9987	1.0000
0.0029	17.0	16439	0.0002	0.9989	0.9984	0.9987	1.0000
0.0026	18.0	17406	0.0002	0.9989	0.9984	0.9987	1.0000
0.0023	19.0	18373	0.0002	0.9989	0.9984	0.9987	1.0000
0.0021	20.0	19340	0.0001	0.9989	0.9984	0.9987	1.0000