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	Accuracy	F1	Precision	Recall
0.0591	1.0	265	0.0553	0.7925	0.7925	0.7925	0.7925
0.0352	2.0	530	0.0372	0.8932	0.8932	0.8932	0.8932
0.0229	3.0	795	0.0469	0.8866	0.8866	0.8866	0.8866
0.0146	4.0	1060	0.0533	0.8960	0.8960	0.8960	0.8960
0.0101	5.0	1325	0.0581	0.8970	0.8970	0.8970	0.8970
0.0074	6.0	1590	0.0631	0.8828	0.8828	0.8828	0.8828
0.0053	7.0	1855	0.0658	0.8823	0.8823	0.8823	0.8823
0.0051	8.0	2120	0.0723	0.8974	0.8974	0.8974	0.8974
0.0038	9.0	2385	0.0794	0.8913	0.8913	0.8913	0.8913
0.0028	10.0	2650	0.0755	0.8871	0.8871	0.8871	0.8871
0.0026	11.0	2915	0.0811	0.8894	0.8894	0.8894	0.8894
0.0019	12.0	3180	0.0853	0.8951	0.8951	0.8951	0.8951
0.0022	13.0	3445	0.0924	0.8861	0.8861	0.8861	0.8861
0.0018	14.0	3710	0.0898	0.8946	0.8946	0.8946	0.8946
0.0012	15.0	3975	0.0916	0.8856	0.8856	0.8856	0.8856
0.0013	16.0	4240	0.0999	0.8956	0.8956	0.8956	0.8956
0.0013	17.0	4505	0.1019	0.8922	0.8922	0.8922	0.8922
0.001	18.0	4770	0.1025	0.8979	0.8979	0.8979	0.8979
0.001	19.0	5035	0.1061	0.8998	0.8998	0.8998	0.8998
0.001	20.0	5300	0.1067	0.8993	0.8993	0.8993	0.8993