Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.5796	0.04	500	0.5174	0.7297	0.6813
0.5102	0.09	1000	0.4804	0.7541	0.7035
0.4957	0.13	1500	0.4916	0.7412	0.7152
0.4798	0.18	2000	0.4679	0.7549	0.7221
0.4728	0.22	2500	0.4563	0.7624	0.7270
0.4569	0.26	3000	0.4501	0.7673	0.7340
0.4583	0.31	3500	0.4480	0.7682	0.7375
0.4502	0.35	4000	0.4498	0.7665	0.7387
0.4514	0.4	4500	0.4452	0.7681	0.7410
0.4416	0.44	5000	0.4209	0.7884	0.7491
0.4297	0.48	5500	0.4288	0.7826	0.7502
0.4299	0.53	6000	0.4069	0.8001	0.7559
0.4248	0.57	6500	0.4194	0.7896	0.7547
0.4257	0.62	7000	0.4063	0.7998	0.7582
0.418	0.66	7500	0.4059	0.8038	0.7639
0.4306	0.7	8000	0.4111	0.7964	0.7615
0.4212	0.75	8500	0.3990	0.8065	0.7672
0.4143	0.79	9000	0.4227	0.7875	0.7604
0.4121	0.84	9500	0.3906	0.8098	0.7667
0.4138	0.88	10000	0.3872	0.8152	0.7725
0.4082	0.92	10500	0.3843	0.8148	0.7700
0.4084	0.97	11000	0.3863	0.8170	0.7740
0.4067	1.01	11500	0.4001	0.8037	0.7707
0.3854	1.06	12000	0.3814	0.8182	0.7756
0.3945	1.1	12500	0.3861	0.8132	0.7761
0.3831	1.14	13000	0.3917	0.8110	0.7750
0.3722	1.19	13500	0.4096	0.7995	0.7718

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

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