Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6376	0.16	10	0.6287	0.672
0.5909	0.32	20	0.5762	0.672
0.5422	0.48	30	0.6498	0.672
0.5876	0.63	40	0.6411	0.672
0.523	0.79	50	0.7330	0.67
0.5686	0.95	60	0.6911	0.672
0.4743	1.11	70	0.5254	0.792
0.4183	1.27	80	0.4998	0.818
0.3682	1.43	90	0.5912	0.816
0.6203	1.59	100	0.9526	0.706
0.5078	1.75	110	0.5348	0.824
0.3214	1.9	120	0.5120	0.816
0.3352	2.06	130	0.5275	0.808
0.2805	2.22	140	0.5597	0.816
0.2541	2.38	150	0.5253	0.83
0.3769	2.54	160	0.5075	0.796
0.3203	2.7	170	0.4701	0.816
0.2153	2.86	180	0.5483	0.814
0.1822	3.02	190	0.5819	0.832
0.1761	3.17	200	0.6913	0.822
0.301	3.33	210	0.7678	0.804
0.21	3.49	220	0.9464	0.798
0.3224	3.65	230	0.6209	0.832
0.133	3.81	240	0.7540	0.818
0.1826	3.97	250	0.7332	0.828
0.2547	4.13	260	0.6782	0.83
0.1321	4.29	270	0.7430	0.824
0.1661	4.44	280	0.8056	0.826
0.1525	4.6	290	0.6864	0.828
0.2085	4.76	300	0.6900	0.832
0.1201	4.92	310	0.7067	0.832

mudasiryasin/roberta-similarity

roberta-similarity