Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.5776	0.04	500	0.5189	0.7264	0.6855
0.5081	0.09	1000	0.4824	0.7519	0.7059
0.4951	0.13	1500	0.4940	0.7377	0.7141
0.4792	0.18	2000	0.4704	0.7526	0.7221
0.4722	0.22	2500	0.4571	0.7618	0.7277
0.4557	0.26	3000	0.4496	0.7677	0.7346
0.4567	0.31	3500	0.4480	0.7677	0.7378
0.4497	0.35	4000	0.4502	0.7655	0.7386
0.4503	0.4	4500	0.4426	0.7712	0.7432
0.4412	0.44	5000	0.4216	0.7889	0.7501
0.4291	0.48	5500	0.4284	0.7837	0.7515
0.4293	0.53	6000	0.4075	0.8004	0.7577
0.4241	0.57	6500	0.4230	0.7879	0.7559
0.4253	0.62	7000	0.4067	0.8002	0.7601
0.4166	0.66	7500	0.4083	0.8026	0.7646
0.4302	0.7	8000	0.4121	0.7964	0.7624
0.4206	0.75	8500	0.3993	0.8051	0.7667
0.4147	0.79	9000	0.4202	0.7884	0.7610
0.4117	0.84	9500	0.3915	0.8094	0.7677
0.4131	0.88	10000	0.3863	0.8156	0.7735
0.4089	0.92	10500	0.3832	0.8157	0.7713
0.4086	0.97	11000	0.3836	0.8180	0.7732
0.406	1.01	11500	0.4042	0.8018	0.7707
0.3854	1.06	12000	0.3819	0.8182	0.7763
0.3952	1.1	12500	0.3836	0.8149	0.7771
0.3827	1.14	13000	0.3898	0.8134	0.7766
0.3719	1.19	13500	0.4155	0.7949	0.7691

muhtasham/tiny-mlm-glue-rte-target-glue-qqp

tiny-mlm-glue-rte-target-glue-qqp