Training Loss	Epoch	Step	Validation Loss	Cls loss	Lm loss	Cls Accuracy	Cls F1	Cls Precision	Cls Recall	Perplexity
4.6818	1.0	3470	4.4437	1.6250	4.0374	0.5274	0.4958	0.5329	0.5274	56.68
4.3828	2.0	6940	4.3628	1.4528	3.9994	0.6144	0.6088	0.6345	0.6144	54.56
4.2523	3.0	10410	4.3820	1.5899	3.9842	0.6092	0.6025	0.6382	0.6092	53.74
4.1442	4.0	13880	4.3954	1.6755	3.9763	0.6063	0.6010	0.6121	0.6063	53.32
4.0385	5.0	17350	4.4675	2.0051	3.9659	0.6150	0.6105	0.6194	0.6150	52.77
3.9513	6.0	20820	4.5223	2.2257	3.9654	0.6115	0.6049	0.6233	0.6115	52.74
3.8877	7.0	24290	4.5904	2.5003	3.9649	0.6012	0.5956	0.6049	0.6012	52.71
3.8367	8.0	27760	4.6320	2.6812	3.9612	0.6121	0.6061	0.6154	0.6121	52.52
3.7991	9.0	31230	4.6735	2.8534	3.9596	0.6104	0.6059	0.6139	0.6104	52.44
3.7697	10.0	34700	4.7126	3.0044	3.9610	0.6104	0.6063	0.6122	0.6104	52.51
3.7457	11.0	38170	4.7607	3.1961	3.9612	0.6133	0.6072	0.6182	0.6133	52.52
3.7265	12.0	41640	4.7927	3.3216	3.9617	0.6006	0.5951	0.6036	0.6006	52.55
3.7129	13.0	45110	4.7983	3.3431	3.9620	0.6104	0.6039	0.6133	0.6104	52.56
3.7016	14.0	48580	4.8061	3.3774	3.9612	0.6121	0.6059	0.6124	0.6121	52.52
3.6956	15.0	52050	4.8155	3.4105	3.9623	0.6104	0.6054	0.6110	0.6104	52.58

GItaf/gpt2-gpt2-mc-weight0.25-epoch15

gpt2-gpt2-mc-weight0.25-epoch15