Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.07	50	0.5082	0.8580
No log	0.14	100	0.5312	0.8580
No log	0.21	150	0.3020	0.9259
No log	0.27	200	0.3802	0.9259
No log	0.34	250	0.3721	0.9259
No log	0.41	300	0.3692	0.9321
No log	0.48	350	0.4657	0.8951
No log	0.55	400	0.5192	0.9198
No log	0.62	450	0.4348	0.9259
0.3718	0.68	500	0.3369	0.9383
0.3718	0.75	550	0.3150	0.9444
0.3718	0.82	600	0.2712	0.9630
0.3718	0.89	650	0.2900	0.9444
0.3718	0.96	700	0.2895	0.9444
0.3718	1.03	750	0.2578	0.9383
0.3718	1.09	800	0.3731	0.9506
0.3718	1.16	850	0.1916	0.9506
0.3718	1.23	900	0.1980	0.9444
0.3718	1.3	950	0.3446	0.9506
0.2003	1.37	1000	0.3997	0.9444
0.2003	1.44	1050	0.3500	0.9444
0.2003	1.5	1100	0.2820	0.9444
0.2003	1.57	1150	0.3192	0.9506
0.2003	1.64	1200	0.3207	0.9444
0.2003	1.71	1250	0.2535	0.9444
0.2003	1.78	1300	0.2543	0.9506
0.2003	1.85	1350	0.2218	0.9691
0.2003	1.92	1400	0.3685	0.9444
0.2003	1.98	1450	0.2633	0.9630
0.1534	2.05	1500	0.2700	0.9630
0.1534	2.12	1550	0.1888	0.9568
0.1534	2.19	1600	0.2366	0.9630
0.1534	2.26	1650	0.2998	0.9630

RyuExcalibur/bart-large-mnli-aitools-8n

bart-large-mnli-aitools-8n