Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.5728	0.04	500	0.5077	0.7372	0.6832
0.5018	0.09	1000	0.4737	0.7587	0.6993
0.4915	0.13	1500	0.4739	0.7557	0.7192
0.4748	0.18	2000	0.4528	0.7665	0.7234
0.4699	0.22	2500	0.4430	0.7738	0.7303
0.4528	0.26	3000	0.4336	0.7811	0.7379
0.4548	0.31	3500	0.4330	0.7785	0.7392
0.4466	0.35	4000	0.4314	0.7798	0.7431
0.4463	0.4	4500	0.4276	0.7846	0.7489
0.4379	0.44	5000	0.4106	0.7971	0.7493
0.4262	0.48	5500	0.4159	0.7930	0.7550
0.4272	0.53	6000	0.3997	0.8068	0.7579
0.4215	0.57	6500	0.4072	0.7995	0.7590
0.4234	0.62	7000	0.3957	0.8095	0.7603
0.4147	0.66	7500	0.3968	0.8102	0.7639
0.4293	0.7	8000	0.4016	0.8045	0.7654
0.4181	0.75	8500	0.3888	0.8121	0.7667
0.4121	0.79	9000	0.4029	0.8024	0.7681
0.4097	0.84	9500	0.3838	0.8165	0.7681
0.4118	0.88	10000	0.3792	0.8201	0.7702
0.4075	0.92	10500	0.3780	0.8199	0.7717
0.4058	0.97	11000	0.3770	0.8226	0.7712
0.4037	1.01	11500	0.3891	0.8131	0.7762
0.3828	1.06	12000	0.3746	0.8241	0.7738
0.3936	1.1	12500	0.3770	0.8211	0.7801
0.3823	1.14	13000	0.3761	0.8213	0.7782
0.371	1.19	13500	0.3945	0.8081	0.7763

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

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