PeanutCoding commited on
Commit
2406ec4
·
verified ·
1 Parent(s): 5e509e2

End of training

Browse files
README.md CHANGED
@@ -3,6 +3,10 @@ library_name: transformers
3
  base_model: microsoft/layoutlm-large-uncased
4
  tags:
5
  - generated_from_trainer
 
 
 
 
6
  model-index:
7
  - name: Layoutlmlargetest
8
  results: []
@@ -14,6 +18,81 @@ should probably proofread and complete it, then remove this comment. -->
14
  # Layoutlmlargetest
15
 
16
  This model is a fine-tuned version of [microsoft/layoutlm-large-uncased](https://huggingface.co/microsoft/layoutlm-large-uncased) on the None dataset.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
17
 
18
  ## Model description
19
 
 
3
  base_model: microsoft/layoutlm-large-uncased
4
  tags:
5
  - generated_from_trainer
6
+ metrics:
7
+ - f1
8
+ - recall
9
+ - precision
10
  model-index:
11
  - name: Layoutlmlargetest
12
  results: []
 
18
  # Layoutlmlargetest
19
 
20
  This model is a fine-tuned version of [microsoft/layoutlm-large-uncased](https://huggingface.co/microsoft/layoutlm-large-uncased) on the None dataset.
21
+ It achieves the following results on the evaluation set:
22
+ - Loss: 0.9033
23
+ - F1: 0.7548
24
+ - Recall: 0.7252
25
+ - Precision: 0.7869
26
+ - Pred Kommission: 41
27
+ - Percentage Pred Act Kommission: 0.9762
28
+ - Pred Bestellnummer: 146
29
+ - Percentage Pred Act Bestellnummer: 1.0069
30
+ - Pred Möbelhaus: 70
31
+ - Percentage Pred Act Möbelhaus: 1.0938
32
+ - Pred Var-ausf 1: 15
33
+ - Percentage Pred Act Var-ausf 1: 0.9375
34
+ - Pred Modell 3: 47
35
+ - Percentage Pred Act Modell 3: 0.9792
36
+ - Pred Modell 1: 123
37
+ - Percentage Pred Act Modell 1: 1.0165
38
+ - Pred Menge1: 49
39
+ - Percentage Pred Act Menge1: 1.6333
40
+ - Pred Kundennr.: 69
41
+ - Percentage Pred Act Kundennr.: 1.0147
42
+ - Pred Modell 2: 66
43
+ - Percentage Pred Act Modell 2: 1.2453
44
+ - Pred Bezug 3: 9
45
+ - Percentage Pred Act Bezug 3: 1.8
46
+ - Pred Menge2: 6
47
+ - Percentage Pred Act Menge2: 0.3333
48
+ - Pred Bezug 1: 19
49
+ - Percentage Pred Act Bezug 1: 1.0
50
+ - Pred Termin kundenwunsch - kw: 21
51
+ - Percentage Pred Act Termin kundenwunsch - kw: 0.8077
52
+ - Pred Holz 1: 19
53
+ - Percentage Pred Act Holz 1: 1.0556
54
+ - Pred Holz 2: 32
55
+ - Percentage Pred Act Holz 2: 1.5238
56
+ - Pred Zusatz 1: 12
57
+ - Percentage Pred Act Zusatz 1: 2.4
58
+ - Pred Menge3: 22
59
+ - Percentage Pred Act Menge3: 2.0
60
+ - Pred Bezug 2: 7
61
+ - Percentage Pred Act Bezug 2: 0.875
62
+ - Pred La-anschrift: 2
63
+ - Percentage Pred Act La-anschrift: 2.0
64
+ - Act Kommission: 42
65
+ - Act Bestellnummer: 145
66
+ - Act Möbelhaus: 64
67
+ - Act Var-ausf. 2: 7
68
+ - Act Modell 1: 121
69
+ - Act Modell 2: 53
70
+ - Act Menge2: 18
71
+ - Act Kundennr.: 68
72
+ - Act Var-ausf 1: 16
73
+ - Act Bezug 2: 8
74
+ - Act Menge1: 30
75
+ - Act Bezug 1: 19
76
+ - Act Termin kundenwunsch - kw: 26
77
+ - Act Holz 1: 18
78
+ - Act Holz 2: 21
79
+ - Act Menge3: 11
80
+ - Act Modell 3: 48
81
+ - Act Holz 3: 9
82
+ - Act Zusatz 3: 2
83
+ - Act Modell 4: 7
84
+ - Act Zusatz 2: 8
85
+ - Act Bezug 3: 5
86
+ - Act Zusatz 1: 5
87
+ - Act Menge4: 7
88
+ - Act Var-ausf. 3: 4
89
+ - Act Var-ausf. 4: 4
90
+ - Act Modell 5: 1
91
+ - Act Gestelltnr.: 1
92
+ - Act Bezug 4: 4
93
+ - Act La-anschrift: 1
94
+ - Act Holz 4: 1
95
+ - Act Menge5: 1
96
 
97
  ## Model description
98
 
logs/events.out.tfevents.1749031283.phi-ThinkPad-T490 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bfb9acdf57f0b97e9aa68f48923d453bfbfb0f1ea68fd23ae72dc02f6a8d247c
3
+ size 4372