Hugging Face's logo

wpnbos
/
xlm-roberta-base-conll2002-dutch

Token Classification Transformers PyTorch
Dutch xlm-roberta Named Entity Recognition Inference Endpoints
Model card Files Community
1
xlm-roberta-base-conll2002-dutch
File size: 2,909 Bytes 
01819a3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.06587601453065872,
  "best_model_checkpoint": "test-ner/checkpoint-2636",
  "epoch": 4.0,
  "global_step": 5272,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.38,
      "learning_rate": 9.241274658573596e-06,
      "loss": 0.2967,
      "step": 500
    },
    {
      "epoch": 0.76,
      "learning_rate": 8.482549317147192e-06,
      "loss": 0.0903,
      "step": 1000
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.9800172512938471,
      "eval_f1": 0.8510216941218831,
      "eval_loss": 0.07860440760850906,
      "eval_precision": 0.8489583333333334,
      "eval_recall": 0.8530951091860675,
      "eval_runtime": 11.6301,
      "eval_samples_per_second": 249.008,
      "step": 1318
    },
    {
      "epoch": 1.14,
      "learning_rate": 7.72382397572079e-06,
      "loss": 0.0695,
      "step": 1500
    },
    {
      "epoch": 1.52,
      "learning_rate": 6.965098634294386e-06,
      "loss": 0.0487,
      "step": 2000
    },
    {
      "epoch": 1.9,
      "learning_rate": 6.206373292867982e-06,
      "loss": 0.0521,
      "step": 2500
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9845816561242093,
      "eval_f1": 0.8887689955939214,
      "eval_loss": 0.06587601453065872,
      "eval_precision": 0.885663082437276,
      "eval_recall": 0.8918967695361848,
      "eval_runtime": 11.691,
      "eval_samples_per_second": 247.711,
      "step": 2636
    },
    {
      "epoch": 2.28,
      "learning_rate": 5.447647951441578e-06,
      "loss": 0.0388,
      "step": 3000
    },
    {
      "epoch": 2.66,
      "learning_rate": 4.688922610015174e-06,
      "loss": 0.0344,
      "step": 3500
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9849949683726279,
      "eval_f1": 0.8925949424453912,
      "eval_loss": 0.06827788800001144,
      "eval_precision": 0.8965768390386016,
      "eval_recall": 0.8886482584371053,
      "eval_runtime": 11.7404,
      "eval_samples_per_second": 246.67,
      "step": 3954
    },
    {
      "epoch": 3.03,
      "learning_rate": 3.930197268588772e-06,
      "loss": 0.0297,
      "step": 4000
    },
    {
      "epoch": 3.41,
      "learning_rate": 3.1714719271623673e-06,
      "loss": 0.0255,
      "step": 4500
    },
    {
      "epoch": 3.79,
      "learning_rate": 2.4127465857359637e-06,
      "loss": 0.0235,
      "step": 5000
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9865943070730305,
      "eval_f1": 0.904637078550122,
      "eval_loss": 0.06835205852985382,
      "eval_precision": 0.90619340818544,
      "eval_recall": 0.9030860855441256,
      "eval_runtime": 11.7952,
      "eval_samples_per_second": 245.524,
      "step": 5272
    }
  ],
  "max_steps": 6590,
  "num_train_epochs": 5,
  "total_flos": 1452761017373610.0,
  "trial_name": null,
  "trial_params": null
}