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
1.6981	1.0	25	1.4370	0.4581	0.4302	0.5630	0.4581
1.2551	2.0	50	1.3700	0.4839	0.4474	0.4963	0.4839
0.6886	3.0	75	1.4792	0.5161	0.5075	0.5181	0.5161
0.307	4.0	100	1.8805	0.4645	0.4496	0.4942	0.4645
0.1402	5.0	125	1.8803	0.5290	0.5170	0.5171	0.5290
0.0695	6.0	150	2.3137	0.5161	0.5016	0.5416	0.5161
0.0376	7.0	175	2.1753	0.5548	0.5444	0.5536	0.5548
0.0167	8.0	200	2.2900	0.5677	0.5566	0.5645	0.5677
0.0089	9.0	225	2.4479	0.5419	0.5379	0.5652	0.5419
0.0041	10.0	250	2.7057	0.5290	0.5256	0.5645	0.5290
0.0034	11.0	275	2.5117	0.5677	0.5635	0.5727	0.5677
0.0026	12.0	300	2.5989	0.5484	0.5437	0.5601	0.5484
0.0022	13.0	325	2.5452	0.5677	0.5678	0.5890	0.5677
0.002	14.0	350	2.5804	0.5548	0.5515	0.5717	0.5548
0.0018	15.0	375	2.6138	0.5548	0.5504	0.5672	0.5548
0.0017	16.0	400	2.5942	0.5548	0.5504	0.5672	0.5548
0.0017	17.0	425	2.6194	0.5613	0.5568	0.5743	0.5613
0.0016	18.0	450	2.6354	0.5613	0.5568	0.5743	0.5613
0.0015	19.0	475	2.6417	0.5613	0.5568	0.5743	0.5613
0.0015	20.0	500	2.6448	0.5613	0.5575	0.5778	0.5613