KBLab/sentence-bert-swedish-cased
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Model: KBLab/sentence-bert-swedish-cased
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ModelHub XC
2026-05-14 12:47:39 +08:00
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epoch,steps,src2trg,trg2src
0,1000,0.97,0.967
0,2000,0.97,0.968
0,3000,0.97,0.967
0,4000,0.97,0.968
0,5000,0.971,0.967
0,6000,0.97,0.966
0,7000,0.971,0.968
0,8000,0.97,0.968
0,9000,0.971,0.966
0,10000,0.969,0.968
0,11000,0.97,0.967
0,12000,0.967,0.967
0,13000,0.969,0.965
0,14000,0.971,0.966
0,15000,0.971,0.967
0,16000,0.97,0.965
0,17000,0.969,0.965
0,18000,0.967,0.967
0,19000,0.969,0.966
0,20000,0.968,0.967
0,21000,0.968,0.966
0,22000,0.967,0.965
0,23000,0.97,0.966
0,24000,0.969,0.967
0,25000,0.967,0.967
0,26000,0.968,0.968
0,27000,0.967,0.965
0,28000,0.968,0.966
0,29000,0.967,0.967
0,30000,0.968,0.968
0,31000,0.966,0.967
0,32000,0.967,0.967
0,33000,0.969,0.967
0,34000,0.969,0.967
0,35000,0.968,0.967
0,36000,0.969,0.967
0,37000,0.969,0.967
0,38000,0.968,0.968
0,39000,0.969,0.966
0,40000,0.965,0.968
0,41000,0.968,0.966
0,42000,0.968,0.969
0,43000,0.968,0.969
0,44000,0.969,0.969
0,45000,0.966,0.967
0,46000,0.966,0.968
0,47000,0.968,0.967
0,48000,0.966,0.968
0,49000,0.967,0.968
0,50000,0.966,0.969
0,51000,0.967,0.967
0,52000,0.967,0.968
0,53000,0.968,0.968
0,54000,0.968,0.966
0,55000,0.968,0.967
0,56000,0.968,0.968
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0,58000,0.969,0.967
0,59000,0.969,0.967
0,60000,0.97,0.966
0,61000,0.969,0.968
0,62000,0.968,0.97
0,63000,0.969,0.969
0,64000,0.969,0.968
0,65000,0.969,0.969
0,66000,0.968,0.965
0,67000,0.969,0.968
0,68000,0.968,0.967
0,69000,0.968,0.968
0,70000,0.97,0.968
0,71000,0.97,0.969
0,72000,0.967,0.968
0,73000,0.967,0.968
0,74000,0.968,0.967
0,75000,0.969,0.965
0,76000,0.969,0.968
0,77000,0.968,0.965
0,78000,0.968,0.966
0,79000,0.97,0.966
0,80000,0.969,0.968
0,81000,0.969,0.967
0,82000,0.968,0.967
0,83000,0.969,0.967
0,84000,0.968,0.967
0,85000,0.968,0.969
0,86000,0.97,0.966
0,87000,0.968,0.969
0,88000,0.967,0.97
0,89000,0.967,0.967
0,90000,0.967,0.968
0,91000,0.967,0.967
0,92000,0.968,0.967
0,93000,0.971,0.966
0,94000,0.97,0.968
0,95000,0.967,0.964
0,96000,0.967,0.966
0,97000,0.969,0.964
0,98000,0.969,0.966
0,99000,0.969,0.967
0,100000,0.968,0.967
0,101000,0.967,0.966
0,102000,0.967,0.967
0,103000,0.967,0.967
0,104000,0.967,0.966
0,105000,0.966,0.967
0,106000,0.968,0.968
0,107000,0.968,0.966
0,108000,0.967,0.968
0,109000,0.967,0.967
0,110000,0.968,0.969
0,111000,0.967,0.968
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0,113000,0.967,0.966
0,114000,0.966,0.966
0,115000,0.966,0.967
0,116000,0.966,0.966
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