Hugging Face's logo

daydrill
/
table_qa_0

Question Answering
Transformers
PyTorch
bert
Inference Endpoints
Model card Files Community
1
table_qa_0
File size: 3,197 Bytes 
9cade0a
 
 
5d19dce
 
9cade0a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
84a2c97
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ebe9855
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
e674e7f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
54159c4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
515f655
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5d19dce
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9cade0a
 
 
 
5d19dce
9cade0a
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.36450739429285567,
  "global_step": 3500,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.05,
      "learning_rate": 2.947927515101021e-05,
      "loss": 2.2374,
      "step": 500
    },
    {
      "epoch": 0.05,
      "eval_exact_match": 49.46965745087811,
      "eval_f1": 54.705922468625346,
      "eval_loss": 1.399248480796814,
      "eval_runtime": 152.8082,
      "eval_samples_per_second": 92.96,
      "eval_steps_per_second": 11.622,
      "step": 500
    },
    {
      "epoch": 0.1,
      "learning_rate": 2.8958550302020413e-05,
      "loss": 1.1963,
      "step": 1000
    },
    {
      "epoch": 0.1,
      "eval_exact_match": 54.33837593462007,
      "eval_f1": 59.335692166319255,
      "eval_loss": 1.046236276626587,
      "eval_runtime": 153.237,
      "eval_samples_per_second": 92.7,
      "eval_steps_per_second": 11.59,
      "step": 1000
    },
    {
      "epoch": 0.16,
      "learning_rate": 2.8437825453030617e-05,
      "loss": 1.1031,
      "step": 1500
    },
    {
      "epoch": 0.16,
      "eval_exact_match": 56.17283950617284,
      "eval_f1": 61.40430603082631,
      "eval_loss": 0.8644341230392456,
      "eval_runtime": 153.7515,
      "eval_samples_per_second": 92.389,
      "eval_steps_per_second": 11.551,
      "step": 1500
    },
    {
      "epoch": 0.21,
      "learning_rate": 2.7917100604040825e-05,
      "loss": 0.9479,
      "step": 2000
    },
    {
      "epoch": 0.21,
      "eval_exact_match": 57.21613632411754,
      "eval_f1": 61.625922292628005,
      "eval_loss": 0.7944296002388,
      "eval_runtime": 153.833,
      "eval_samples_per_second": 92.34,
      "eval_steps_per_second": 11.545,
      "step": 2000
    },
    {
      "epoch": 0.26,
      "learning_rate": 2.7396375755051033e-05,
      "loss": 0.899,
      "step": 2500
    },
    {
      "epoch": 0.26,
      "eval_exact_match": 59.867849069727,
      "eval_f1": 64.17727571949499,
      "eval_loss": 0.7857800722122192,
      "eval_runtime": 154.1204,
      "eval_samples_per_second": 92.168,
      "eval_steps_per_second": 11.523,
      "step": 2500
    },
    {
      "epoch": 0.31,
      "learning_rate": 2.6875650906061238e-05,
      "loss": 0.8672,
      "step": 3000
    },
    {
      "epoch": 0.31,
      "eval_exact_match": 65.00608589810467,
      "eval_f1": 69.60946105310353,
      "eval_loss": 0.8072792887687683,
      "eval_runtime": 154.2464,
      "eval_samples_per_second": 92.093,
      "eval_steps_per_second": 11.514,
      "step": 3000
    },
    {
      "epoch": 0.36,
      "learning_rate": 2.6354926057071445e-05,
      "loss": 0.8375,
      "step": 3500
    },
    {
      "epoch": 0.36,
      "eval_exact_match": 63.82368283776734,
      "eval_f1": 68.19581427410363,
      "eval_loss": 0.7115561366081238,
      "eval_runtime": 154.7006,
      "eval_samples_per_second": 91.822,
      "eval_steps_per_second": 11.48,
      "step": 3500
    }
  ],
  "max_steps": 28806,
  "num_train_epochs": 3,
  "total_flos": 7316309188608000.0,
  "trial_name": null,
  "trial_params": null
}