初始化项目,由ModelHub XC社区提供模型

Model: KBLab/sentence-bert-swedish-cased
Source: Original Platform
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ModelHub XC
2026-05-14 12:47:39 +08:00
commit 7c7f863eae
18 changed files with 101687 additions and 0 deletions

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epoch,steps,src2trg,trg2src
0,1000,0.971,0.971
0,2000,0.971,0.971
0,3000,0.97,0.972
0,4000,0.971,0.972
0,5000,0.971,0.971
0,6000,0.971,0.972
0,7000,0.971,0.972
0,8000,0.971,0.973
0,9000,0.97,0.971
0,10000,0.97,0.97
0,11000,0.97,0.97
0,12000,0.97,0.971
0,13000,0.969,0.97
0,14000,0.97,0.971
0,15000,0.97,0.971
0,16000,0.97,0.971
0,17000,0.971,0.971
0,18000,0.971,0.971
0,19000,0.97,0.971
0,20000,0.97,0.971
0,21000,0.97,0.971
0,22000,0.97,0.971
0,23000,0.971,0.971
0,24000,0.97,0.971
0,25000,0.97,0.971
0,26000,0.97,0.97
0,27000,0.97,0.971
0,28000,0.97,0.971
0,29000,0.97,0.97
0,30000,0.969,0.971
0,31000,0.97,0.97
0,32000,0.97,0.97
0,33000,0.969,0.971
0,34000,0.97,0.971
0,35000,0.97,0.969
0,36000,0.97,0.971
0,37000,0.97,0.969
0,38000,0.97,0.971
0,39000,0.97,0.971
0,40000,0.971,0.971
0,41000,0.97,0.971
0,42000,0.97,0.971
0,43000,0.97,0.971
0,44000,0.971,0.971
0,45000,0.969,0.971
0,46000,0.969,0.972
0,47000,0.971,0.971
0,48000,0.971,0.971
0,49000,0.971,0.97
0,50000,0.97,0.971
0,51000,0.972,0.97
0,52000,0.97,0.971
0,53000,0.97,0.971
0,54000,0.97,0.971
0,55000,0.97,0.971
0,56000,0.97,0.971
0,57000,0.97,0.971
0,58000,0.969,0.971
0,59000,0.972,0.971
0,60000,0.971,0.97
0,61000,0.971,0.971
0,62000,0.971,0.971
0,63000,0.971,0.97
0,64000,0.971,0.971
0,65000,0.971,0.971
0,66000,0.971,0.971
0,67000,0.971,0.971
0,68000,0.97,0.971
0,69000,0.971,0.971
0,70000,0.971,0.971
0,71000,0.971,0.97
0,72000,0.971,0.971
0,73000,0.971,0.971
0,74000,0.97,0.971
0,75000,0.971,0.971
0,76000,0.971,0.97
0,77000,0.971,0.971
0,78000,0.971,0.971
0,79000,0.971,0.97
0,80000,0.97,0.971
0,81000,0.97,0.971
0,82000,0.971,0.97
0,83000,0.971,0.97
0,84000,0.971,0.97
0,85000,0.97,0.97
0,86000,0.971,0.971
0,87000,0.971,0.971
0,88000,0.971,0.971
0,89000,0.971,0.97
0,90000,0.97,0.97
0,91000,0.971,0.971
0,92000,0.97,0.97
0,93000,0.97,0.97
0,94000,0.97,0.971
0,95000,0.97,0.97
0,96000,0.97,0.97
0,97000,0.97,0.971
0,98000,0.97,0.971
0,99000,0.971,0.971
0,100000,0.97,0.971
0,101000,0.971,0.971
0,102000,0.97,0.971
0,103000,0.97,0.97
0,104000,0.97,0.971
0,105000,0.97,0.971
0,106000,0.971,0.97
0,107000,0.97,0.97
0,108000,0.971,0.971
0,109000,0.971,0.97
0,110000,0.971,0.97
0,111000,0.971,0.971
0,112000,0.971,0.971
0,113000,0.971,0.971
0,114000,0.971,0.97
0,115000,0.97,0.969
0,116000,0.97,0.97
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