Training Loss	Epoch	Step	Validation Loss	Accuracy
1.5837	1.0	25	1.5556	0.53
1.5523	2.0	50	1.5001	0.51
1.555	3.0	75	1.4666	0.48
1.4895	4.0	100	1.4224	0.49
1.4951	5.0	125	1.3924	0.495
1.4549	6.0	150	1.3716	0.53
1.4462	7.0	175	1.3372	0.51
1.4262	8.0	200	1.3005	0.515
1.3729	9.0	225	1.2497	0.525
1.4031	10.0	250	1.2854	0.535
1.3962	11.0	275	1.2891	0.56
1.3519	12.0	300	1.2060	0.53
1.362	13.0	325	1.3458	0.555
1.3693	14.0	350	1.1796	0.56
1.346	15.0	375	1.1360	0.585
1.2285	16.0	400	1.0907	0.57
1.2481	17.0	425	1.1393	0.56
1.2568	18.0	450	1.0404	0.6
1.2249	19.0	475	1.0012	0.595
1.1611	20.0	500	1.0123	0.615
1.1416	21.0	525	0.9631	0.64
1.2197	22.0	550	1.0537	0.625
1.2029	23.0	575	0.9518	0.66
1.1971	24.0	600	0.9295	0.67
1.1513	25.0	625	0.9045	0.675
1.0185	26.0	650	0.8620	0.71
1.1352	27.0	675	1.0548	0.69
1.1593	28.0	700	1.0043	0.68
1.1418	29.0	725	0.8569	0.7
1.0534	30.0	750	0.8284	0.715
1.08	31.0	775	0.7953	0.73
1.0148	32.0	800	0.7775	0.74
1.0526	33.0	825	0.8120	0.755
1.03	34.0	850	0.7630	0.76
1.0287	35.0	875	0.7651	0.745
1.0287	36.0	900	0.7174	0.765
0.9901	37.0	925	0.7268	0.75
0.9257	38.0	950	0.7114	0.765
0.9372	39.0	975	0.6691	0.805
0.9582	40.0	1000	0.6650	0.795
0.8728	41.0	1025	0.6588	0.78
0.8925	42.0	1050	0.6426	0.81
0.9357	43.0	1075	0.6302	0.815
0.9257	44.0	1100	0.7645	0.795
0.8763	45.0	1125	0.6034	0.815
0.838	46.0	1150	0.5711	0.815
0.8652	47.0	1175	0.5583	0.83
0.8106	48.0	1200	0.5560	0.835
0.8567	49.0	1225	0.5361	0.825
0.8185	50.0	1250	0.5926	0.825
0.8327	51.0	1275	0.5550	0.85
0.7822	52.0	1300	0.5193	0.85
0.7971	53.0	1325	0.5213	0.85
0.8051	54.0	1350	0.5175	0.845
0.7815	55.0	1375	0.4801	0.885
0.7391	56.0	1400	0.5759	0.87
0.8168	57.0	1425	0.4646	0.88
0.6991	58.0	1450	0.4713	0.885
0.7545	59.0	1475	0.4882	0.885
0.7222	60.0	1500	0.4494	0.89

bimoadiparwa/roberta-mc-5

roberta-mc-5