sentence-bert-swedish-cased/eval/translation_evaluation_TED2020-en-sv-dev.tsv.gz_results.csv

1	epoch	steps	src2trg	trg2src
2	0	1000	0.971	0.971
3	0	2000	0.971	0.971
4	0	3000	0.97	0.972
5	0	4000	0.971	0.972
6	0	5000	0.971	0.971
7	0	6000	0.971	0.972
8	0	7000	0.971	0.972
9	0	8000	0.971	0.973
10	0	9000	0.97	0.971
11	0	10000	0.97	0.97
12	0	11000	0.97	0.97
13	0	12000	0.97	0.971
14	0	13000	0.969	0.97
15	0	14000	0.97	0.971
16	0	15000	0.97	0.971
17	0	16000	0.97	0.971
18	0	17000	0.971	0.971
19	0	18000	0.971	0.971
20	0	19000	0.97	0.971
21	0	20000	0.97	0.971
22	0	21000	0.97	0.971
23	0	22000	0.97	0.971
24	0	23000	0.971	0.971
25	0	24000	0.97	0.971
26	0	25000	0.97	0.971
27	0	26000	0.97	0.97
28	0	27000	0.97	0.971
29	0	28000	0.97	0.971
30	0	29000	0.97	0.97
31	0	30000	0.969	0.971
32	0	31000	0.97	0.97
33	0	32000	0.97	0.97
34	0	33000	0.969	0.971
35	0	34000	0.97	0.971
36	0	35000	0.97	0.969
37	0	36000	0.97	0.971
38	0	37000	0.97	0.969
39	0	38000	0.97	0.971
40	0	39000	0.97	0.971
41	0	40000	0.971	0.971
42	0	41000	0.97	0.971
43	0	42000	0.97	0.971
44	0	43000	0.97	0.971
45	0	44000	0.971	0.971
46	0	45000	0.969	0.971
47	0	46000	0.969	0.972
48	0	47000	0.971	0.971
49	0	48000	0.971	0.971
50	0	49000	0.971	0.97
51	0	50000	0.97	0.971
52	0	51000	0.972	0.97
53	0	52000	0.97	0.971
54	0	53000	0.97	0.971
55	0	54000	0.97	0.971
56	0	55000	0.97	0.971
57	0	56000	0.97	0.971
58	0	57000	0.97	0.971
59	0	58000	0.969	0.971
60	0	59000	0.972	0.971
61	0	60000	0.971	0.97
62	0	61000	0.971	0.971
63	0	62000	0.971	0.971
64	0	63000	0.971	0.97
65	0	64000	0.971	0.971
66	0	65000	0.971	0.971
67	0	66000	0.971	0.971
68	0	67000	0.971	0.971
69	0	68000	0.97	0.971
70	0	69000	0.971	0.971
71	0	70000	0.971	0.971
72	0	71000	0.971	0.97
73	0	72000	0.971	0.971
74	0	73000	0.971	0.971
75	0	74000	0.97	0.971
76	0	75000	0.971	0.971
77	0	76000	0.971	0.97
78	0	77000	0.971	0.971
79	0	78000	0.971	0.971
80	0	79000	0.971	0.97
81	0	80000	0.97	0.971
82	0	81000	0.97	0.971
83	0	82000	0.971	0.97
84	0	83000	0.971	0.97
85	0	84000	0.971	0.97
86	0	85000	0.97	0.97
87	0	86000	0.971	0.971
88	0	87000	0.971	0.971
89	0	88000	0.971	0.971
90	0	89000	0.971	0.97
91	0	90000	0.97	0.97
92	0	91000	0.971	0.971
93	0	92000	0.97	0.97
94	0	93000	0.97	0.97
95	0	94000	0.97	0.971
96	0	95000	0.97	0.97
97	0	96000	0.97	0.97
98	0	97000	0.97	0.971
99	0	98000	0.97	0.971
100	0	99000	0.971	0.971
101	0	100000	0.97	0.971
102	0	101000	0.971	0.971
103	0	102000	0.97	0.971
104	0	103000	0.97	0.97
105	0	104000	0.97	0.971
106	0	105000	0.97	0.971
107	0	106000	0.971	0.97
108	0	107000	0.97	0.97
109	0	108000	0.971	0.971
110	0	109000	0.971	0.97
111	0	110000	0.971	0.97
112	0	111000	0.971	0.971
113	0	112000	0.971	0.971
114	0	113000	0.971	0.971
115	0	114000	0.971	0.97
116	0	115000	0.97	0.969
117	0	116000	0.97	0.97