Hugging Face's logo

HALDATA
/
bert-base-japanese-3w-multihead-qa

Question Answering
PyTorch
Japanese
bert
extractive-qa
multi-head
japanese
purchase-motivation
e-commerce
review-analysis
3w-extraction
Eval Results (legacy)
Model card Files
xet
Community
bert-base-japanese-3w-multihead-qa
File size: 2,562 Bytes 
1b144b8
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
 
{
  "best": {
    "who": -1.0,
    "where": 1.0,
    "when": 2.0
  },
  "grid": {
    "who": {
      "-1.0": {
        "f1": 0.9567095238095238,
        "em": 0.944,
        "f1_em": 0.9503547619047619
      },
      "-0.5": {
        "f1": 0.9567095238095238,
        "em": 0.944,
        "f1_em": 0.9503547619047619
      },
      "0.0": {
        "f1": 0.9547095238095238,
        "em": 0.942,
        "f1_em": 0.9483547619047619
      },
      "0.5": {
        "f1": 0.9547095238095238,
        "em": 0.942,
        "f1_em": 0.9483547619047619
      },
      "1.0": {
        "f1": 0.9547095238095238,
        "em": 0.942,
        "f1_em": 0.9483547619047619
      },
      "1.5": {
        "f1": 0.9487095238095238,
        "em": 0.936,
        "f1_em": 0.9423547619047619
      },
      "2.0": {
        "f1": 0.9447095238095238,
        "em": 0.932,
        "f1_em": 0.9383547619047619
      }
    },
    "where": {
      "-1.0": {
        "f1": 0.9192040825840826,
        "em": 0.88,
        "f1_em": 0.8996020412920414
      },
      "-0.5": {
        "f1": 0.9232040825840826,
        "em": 0.884,
        "f1_em": 0.9036020412920414
      },
      "0.0": {
        "f1": 0.9273859007659007,
        "em": 0.89,
        "f1_em": 0.9086929503829504
      },
      "0.5": {
        "f1": 0.9293859007659007,
        "em": 0.892,
        "f1_em": 0.9106929503829504
      },
      "1.0": {
        "f1": 0.9297859007659008,
        "em": 0.894,
        "f1_em": 0.9118929503829505
      },
      "1.5": {
        "f1": 0.9277859007659008,
        "em": 0.892,
        "f1_em": 0.9098929503829505
      },
      "2.0": {
        "f1": 0.9264525674325675,
        "em": 0.892,
        "f1_em": 0.9092262837162838
      }
    },
    "when": {
      "-1.0": {
        "f1": 0.8263672926725288,
        "em": 0.774,
        "f1_em": 0.8001836463362644
      },
      "-0.5": {
        "f1": 0.8323672926725288,
        "em": 0.78,
        "f1_em": 0.8061836463362644
      },
      "0.0": {
        "f1": 0.8373672926725289,
        "em": 0.786,
        "f1_em": 0.8116836463362644
      },
      "0.5": {
        "f1": 0.8393672926725289,
        "em": 0.788,
        "f1_em": 0.8136836463362644
      },
      "1.0": {
        "f1": 0.8453672926725289,
        "em": 0.794,
        "f1_em": 0.8196836463362644
      },
      "1.5": {
        "f1": 0.8446400199452562,
        "em": 0.794,
        "f1_em": 0.8193200099726281
      },
      "2.0": {
        "f1": 0.8508437236489599,
        "em": 0.802,
        "f1_em": 0.82642186182448
      }
    }
  }
}