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	F1	Rate
No log	1.0	141	1.1776	0.5721	0.0000
No log	2.0	282	0.9785	0.6619	0.0000
No log	3.0	423	0.8326	0.7194	0.0000
1.1084	4.0	564	0.6920	0.7808	0.0000
1.1084	5.0	705	0.6907	0.7973	0.0000
1.1084	6.0	846	0.6107	0.8284	0.0000
1.1084	7.0	987	0.5776	0.8426	0.0000
0.4572	8.0	1128	0.6100	0.8523	0.0000
0.4572	9.0	1269	0.6279	0.8570	0.0000
0.4572	10.0	1410	0.6638	0.8587	0.0000
0.1637	11.0	1551	0.7340	0.8568	0.0000
0.1637	12.0	1692	0.7564	0.8596	7e-06
0.1637	13.0	1833	0.8077	0.8568	0.0000
0.1637	14.0	1974	0.7234	0.8667	0.0000
0.069	15.0	2115	0.7535	0.8664	3e-06
0.069	16.0	2256	0.7818	0.8659	0.0000
0.069	17.0	2397	0.8064	0.8646	0.0000
0.0376	18.0	2538	0.8203	0.8626	5e-07
0.0376	19.0	2679	0.8233	0.8629	1e-07
0.0376	20.0	2820	0.8235	0.8632	0.0

class	precision	recall	f1-score
change_request	0.918	0.651	0.762
discussion_participation	0.839	0.882	0.860
discussion_trigger	0.879	0.902	0.890
acknowledgement	0.847	0.920	0.882
critical	0.686	0.940	0.793
reference	0.802	0.947	0.869
-----------	----------	--------	---------
accuracy			0.828
macro avg	0.828	0.874	0.843
weighted avg	0.845	0.828	0.825