sentence-bert-swedish-cased/eval/translation_evaluation_Tatoeba-eng-swe-dev.tsv.gz_results.csv

1	epoch	steps	src2trg	trg2src
2	0	1000	0.97	0.967
3	0	2000	0.97	0.968
4	0	3000	0.97	0.967
5	0	4000	0.97	0.968
6	0	5000	0.971	0.967
7	0	6000	0.97	0.966
8	0	7000	0.971	0.968
9	0	8000	0.97	0.968
10	0	9000	0.971	0.966
11	0	10000	0.969	0.968
12	0	11000	0.97	0.967
13	0	12000	0.967	0.967
14	0	13000	0.969	0.965
15	0	14000	0.971	0.966
16	0	15000	0.971	0.967
17	0	16000	0.97	0.965
18	0	17000	0.969	0.965
19	0	18000	0.967	0.967
20	0	19000	0.969	0.966
21	0	20000	0.968	0.967
22	0	21000	0.968	0.966
23	0	22000	0.967	0.965
24	0	23000	0.97	0.966
25	0	24000	0.969	0.967
26	0	25000	0.967	0.967
27	0	26000	0.968	0.968
28	0	27000	0.967	0.965
29	0	28000	0.968	0.966
30	0	29000	0.967	0.967
31	0	30000	0.968	0.968
32	0	31000	0.966	0.967
33	0	32000	0.967	0.967
34	0	33000	0.969	0.967
35	0	34000	0.969	0.967
36	0	35000	0.968	0.967
37	0	36000	0.969	0.967
38	0	37000	0.969	0.967
39	0	38000	0.968	0.968
40	0	39000	0.969	0.966
41	0	40000	0.965	0.968
42	0	41000	0.968	0.966
43	0	42000	0.968	0.969
44	0	43000	0.968	0.969
45	0	44000	0.969	0.969
46	0	45000	0.966	0.967
47	0	46000	0.966	0.968
48	0	47000	0.968	0.967
49	0	48000	0.966	0.968
50	0	49000	0.967	0.968
51	0	50000	0.966	0.969
52	0	51000	0.967	0.967
53	0	52000	0.967	0.968
54	0	53000	0.968	0.968
55	0	54000	0.968	0.966
56	0	55000	0.968	0.967
57	0	56000	0.968	0.968
58	0	57000	0.968	0.967
59	0	58000	0.969	0.967
60	0	59000	0.969	0.967
61	0	60000	0.97	0.966
62	0	61000	0.969	0.968
63	0	62000	0.968	0.97
64	0	63000	0.969	0.969
65	0	64000	0.969	0.968
66	0	65000	0.969	0.969
67	0	66000	0.968	0.965
68	0	67000	0.969	0.968
69	0	68000	0.968	0.967
70	0	69000	0.968	0.968
71	0	70000	0.97	0.968
72	0	71000	0.97	0.969
73	0	72000	0.967	0.968
74	0	73000	0.967	0.968
75	0	74000	0.968	0.967
76	0	75000	0.969	0.965
77	0	76000	0.969	0.968
78	0	77000	0.968	0.965
79	0	78000	0.968	0.966
80	0	79000	0.97	0.966
81	0	80000	0.969	0.968
82	0	81000	0.969	0.967
83	0	82000	0.968	0.967
84	0	83000	0.969	0.967
85	0	84000	0.968	0.967
86	0	85000	0.968	0.969
87	0	86000	0.97	0.966
88	0	87000	0.968	0.969
89	0	88000	0.967	0.97
90	0	89000	0.967	0.967
91	0	90000	0.967	0.968
92	0	91000	0.967	0.967
93	0	92000	0.968	0.967
94	0	93000	0.971	0.966
95	0	94000	0.97	0.968
96	0	95000	0.967	0.964
97	0	96000	0.967	0.966
98	0	97000	0.969	0.964
99	0	98000	0.969	0.966
100	0	99000	0.969	0.967
101	0	100000	0.968	0.967
102	0	101000	0.967	0.966
103	0	102000	0.967	0.967
104	0	103000	0.967	0.967
105	0	104000	0.967	0.966
106	0	105000	0.966	0.967
107	0	106000	0.968	0.968
108	0	107000	0.968	0.966
109	0	108000	0.967	0.968
110	0	109000	0.967	0.967
111	0	110000	0.968	0.969
112	0	111000	0.967	0.968
113	0	112000	0.967	0.968
114	0	113000	0.967	0.966
115	0	114000	0.966	0.966
116	0	115000	0.966	0.967
117	0	116000	0.966	0.966