Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.5775	0.04	500	0.5143	0.7309	0.6804
0.5085	0.09	1000	0.4819	0.7521	0.7031
0.4956	0.13	1500	0.4903	0.7412	0.7150
0.4795	0.18	2000	0.4662	0.7565	0.7230
0.4723	0.22	2500	0.4550	0.7643	0.7288
0.4562	0.26	3000	0.4472	0.7700	0.7353
0.4568	0.31	3500	0.4453	0.7695	0.7378
0.4502	0.35	4000	0.4475	0.7680	0.7398
0.4504	0.4	4500	0.4412	0.7721	0.7435
0.4406	0.44	5000	0.4203	0.7893	0.7497
0.4289	0.48	5500	0.4252	0.7859	0.7521
0.429	0.53	6000	0.4063	0.8017	0.7584
0.4237	0.57	6500	0.4189	0.7908	0.7566
0.4257	0.62	7000	0.4035	0.8032	0.7603
0.4169	0.66	7500	0.4044	0.8059	0.7650
0.4306	0.7	8000	0.4104	0.7969	0.7617
0.4199	0.75	8500	0.3954	0.8086	0.7675
0.414	0.79	9000	0.4181	0.7907	0.7625
0.4117	0.84	9500	0.3887	0.8118	0.7679
0.4137	0.88	10000	0.3852	0.8166	0.7721
0.4087	0.92	10500	0.3832	0.8158	0.7709
0.4082	0.97	11000	0.3831	0.8190	0.7734
0.4052	1.01	11500	0.4005	0.8039	0.7715
0.3844	1.06	12000	0.3799	0.8193	0.7751
0.3951	1.1	12500	0.3833	0.8154	0.7771
0.3825	1.14	13000	0.3874	0.8155	0.7775
0.3721	1.19	13500	0.4097	0.7989	0.7715

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

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