Hugging Face's logo

sinequa
/
answer-finder.yuzu

Question Answering
Transformers
PyTorch
Japanese
bert
Inference Endpoints
Model card Files Community
4
answer-finder.yuzu
File size: 4,197 Bytes 
20a94d8
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
 
{
  "best_metric": 90.00032091396297,
  "best_model_checkpoint": "bert-base-multilingual-cased-finetuned-jsquad2/checkpoint-4989",
  "epoch": 4.0,
  "global_step": 6652,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.3,
      "learning_rate": 2.819603126879134e-05,
      "loss": 0.7946,
      "step": 500
    },
    {
      "epoch": 0.6,
      "learning_rate": 2.6392062537582684e-05,
      "loss": 0.5012,
      "step": 1000
    },
    {
      "epoch": 0.9,
      "learning_rate": 2.458809380637402e-05,
      "loss": 0.4683,
      "step": 1500
    },
    {
      "epoch": 1.0,
      "eval_HasAns_exact": 75.28479445269936,
      "eval_HasAns_f1": 75.4044906719498,
      "eval_HasAns_total": 4038,
      "eval_NoAns_exact": 98.09418806111199,
      "eval_NoAns_f1": 98.09418806111199,
      "eval_NoAns_total": 6349,
      "eval_best_exact": 89.22691826321363,
      "eval_best_exact_thresh": 0.0,
      "eval_best_f1": 89.27345078784379,
      "eval_best_f1_thresh": 0.0,
      "eval_exact": 89.22691826321363,
      "eval_f1": 89.27345078784377,
      "eval_total": 10387,
      "step": 1663
    },
    {
      "epoch": 1.2,
      "learning_rate": 2.2784125075165364e-05,
      "loss": 0.3759,
      "step": 2000
    },
    {
      "epoch": 1.5,
      "learning_rate": 2.0980156343956704e-05,
      "loss": 0.3514,
      "step": 2500
    },
    {
      "epoch": 1.8,
      "learning_rate": 1.9176187612748048e-05,
      "loss": 0.3417,
      "step": 3000
    },
    {
      "epoch": 2.0,
      "eval_HasAns_exact": 76.91926696384348,
      "eval_HasAns_f1": 77.08023774145617,
      "eval_HasAns_total": 4038,
      "eval_NoAns_exact": 97.43266656166325,
      "eval_NoAns_f1": 97.43266656166325,
      "eval_NoAns_total": 6349,
      "eval_best_exact": 89.45797631654953,
      "eval_best_exact_thresh": 0.0,
      "eval_best_f1": 89.520554539328,
      "eval_best_f1_thresh": 0.0,
      "eval_exact": 89.45797631654953,
      "eval_f1": 89.520554539328,
      "eval_total": 10387,
      "step": 3326
    },
    {
      "epoch": 2.1,
      "learning_rate": 1.7372218881539384e-05,
      "loss": 0.309,
      "step": 3500
    },
    {
      "epoch": 2.41,
      "learning_rate": 1.5568250150330728e-05,
      "loss": 0.2527,
      "step": 4000
    },
    {
      "epoch": 2.71,
      "learning_rate": 1.376428141912207e-05,
      "loss": 0.2641,
      "step": 4500
    },
    {
      "epoch": 3.0,
      "eval_HasAns_exact": 77.46409113422486,
      "eval_HasAns_f1": 77.57140498596667,
      "eval_HasAns_total": 4038,
      "eval_NoAns_exact": 97.90518191841235,
      "eval_NoAns_f1": 97.90518191841235,
      "eval_NoAns_total": 6349,
      "eval_best_exact": 89.95860209877732,
      "eval_best_exact_thresh": 0.0,
      "eval_best_f1": 90.00032091396297,
      "eval_best_f1_thresh": 0.0,
      "eval_exact": 89.95860209877732,
      "eval_f1": 90.00032091396297,
      "eval_total": 10387,
      "step": 4989
    },
    {
      "epoch": 3.01,
      "learning_rate": 1.1960312687913411e-05,
      "loss": 0.2521,
      "step": 5000
    },
    {
      "epoch": 3.31,
      "learning_rate": 1.0156343956704751e-05,
      "loss": 0.1924,
      "step": 5500
    },
    {
      "epoch": 3.61,
      "learning_rate": 8.352375225496093e-06,
      "loss": 0.1895,
      "step": 6000
    },
    {
      "epoch": 3.91,
      "learning_rate": 6.548406494287432e-06,
      "loss": 0.1969,
      "step": 6500
    },
    {
      "epoch": 4.0,
      "eval_HasAns_exact": 77.73650321941555,
      "eval_HasAns_f1": 77.82730724781244,
      "eval_HasAns_total": 4038,
      "eval_NoAns_exact": 97.57442116868798,
      "eval_NoAns_f1": 97.57442116868798,
      "eval_NoAns_total": 6349,
      "eval_best_exact": 89.86232790988736,
      "eval_best_exact_thresh": 0.0,
      "eval_best_f1": 89.89762844581368,
      "eval_best_f1_thresh": 0.0,
      "eval_exact": 89.86232790988736,
      "eval_f1": 89.89762844581368,
      "eval_total": 10387,
      "step": 6652
    }
  ],
  "max_steps": 8315,
  "num_train_epochs": 5,
  "total_flos": 1.3905168206462976e+16,
  "trial_name": null,
  "trial_params": null
}