Hugging Face's logo

hkaraoguz
/
BERT_swedish-ner

Token Classification
Transformers
PyTorch
Safetensors
Swedish
bert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
1
BERT_swedish-ner
File size: 2,522 Bytes 
73d6f08
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 5.0,
  "global_step": 8335,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.3,
      "learning_rate": 4.7000599880024e-05,
      "loss": 0.2124,
      "step": 500
    },
    {
      "epoch": 0.6,
      "learning_rate": 4.4001199760047995e-05,
      "loss": 0.1387,
      "step": 1000
    },
    {
      "epoch": 0.9,
      "learning_rate": 4.100179964007199e-05,
      "loss": 0.1202,
      "step": 1500
    },
    {
      "epoch": 1.2,
      "learning_rate": 3.800239952009598e-05,
      "loss": 0.0785,
      "step": 2000
    },
    {
      "epoch": 1.5,
      "learning_rate": 3.500299940011998e-05,
      "loss": 0.0632,
      "step": 2500
    },
    {
      "epoch": 1.8,
      "learning_rate": 3.2003599280143974e-05,
      "loss": 0.0647,
      "step": 3000
    },
    {
      "epoch": 2.1,
      "learning_rate": 2.9004199160167967e-05,
      "loss": 0.0554,
      "step": 3500
    },
    {
      "epoch": 2.4,
      "learning_rate": 2.6004799040191963e-05,
      "loss": 0.0355,
      "step": 4000
    },
    {
      "epoch": 2.7,
      "learning_rate": 2.300539892021596e-05,
      "loss": 0.0335,
      "step": 4500
    },
    {
      "epoch": 3.0,
      "learning_rate": 2.0005998800239953e-05,
      "loss": 0.0318,
      "step": 5000
    },
    {
      "epoch": 3.3,
      "learning_rate": 1.700659868026395e-05,
      "loss": 0.0136,
      "step": 5500
    },
    {
      "epoch": 3.6,
      "learning_rate": 1.4007198560287942e-05,
      "loss": 0.0193,
      "step": 6000
    },
    {
      "epoch": 3.9,
      "learning_rate": 1.1007798440311939e-05,
      "loss": 0.0145,
      "step": 6500
    },
    {
      "epoch": 4.2,
      "learning_rate": 8.008398320335933e-06,
      "loss": 0.0086,
      "step": 7000
    },
    {
      "epoch": 4.5,
      "learning_rate": 5.008998200359928e-06,
      "loss": 0.0059,
      "step": 7500
    },
    {
      "epoch": 4.8,
      "learning_rate": 2.009598080383923e-06,
      "loss": 0.0052,
      "step": 8000
    },
    {
      "epoch": 5.0,
      "step": 8335,
      "total_flos": 1404947975153976.0,
      "train_loss": 0.054277180967462514,
      "train_runtime": 938.8043,
      "train_samples_per_second": 106.518,
      "train_steps_per_second": 8.878
    }
  ],
  "max_steps": 8335,
  "num_train_epochs": 5,
  "total_flos": 1404947975153976.0,
  "trial_name": null,
  "trial_params": null
}