Training Loss	Epoch	Step	Validation Loss	Ndcg	Accuracy
1.5951	0.07	413	1.5693	0.4220	0.2766
1.5721	0.13	826	1.5537	0.4308	0.2828
1.5594	0.2	1239	1.5615	0.4236	0.2757
1.5753	0.27	1652	1.5645	0.4272	0.2778
1.5778	0.33	2065	1.5859	0.3736	0.2430
1.5673	0.4	2478	1.5576	0.4262	0.2812
1.5633	0.47	2891	1.5557	0.4294	0.2815
1.5606	0.53	3304	1.5459	0.4321	0.2836
1.5476	0.6	3717	1.5508	0.4269	0.2810
1.552	0.67	4130	1.5479	0.4302	0.2831
1.5469	0.73	4543	1.5430	0.4345	0.2882
1.5538	0.8	4956	1.5410	0.4371	0.2877
1.557	0.87	5369	1.5420	0.4368	0.2896
1.5427	0.93	5782	1.5449	0.4269	0.2814
1.5427	1.0	6195	1.5381	0.4380	0.2896
1.5469	1.07	6608	1.5381	0.4362	0.2849
1.5369	1.13	7021	1.5361	0.4383	0.2895
1.5465	1.2	7434	1.5361	0.4415	0.2940
1.5433	1.27	7847	1.5342	0.4399	0.2914
1.5355	1.33	8260	1.5342	0.4409	0.2937
1.5363	1.4	8673	1.5342	0.4414	0.2923
1.5372	1.47	9086	1.5312	0.4440	0.2949
1.5452	1.53	9499	1.5303	0.4439	0.2937
1.5386	1.6	9912	1.5293	0.4434	0.2915
1.5314	1.67	10325	1.5303	0.4443	0.2925
1.5216	1.73	10738	1.5293	0.4447	0.2930
1.5341	1.8	11151	1.5293	0.4450	0.2929
1.5315	1.87	11564	1.5283	0.4456	0.2947
1.5345	1.93	11977	1.5283	0.4455	0.2950
1.5238	2.0	12390	1.5283	0.4453	0.2941

AlekseyKorshuk/roberta-with-topic

roberta-with-topic