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lewtun
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autotrain-acronym-identification-7324788

Token Classification
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PyTorch
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bert
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12

Add evaluation results on the default config and train split of acronym_identification

#9
by autoevaluator HF staff - opened
base: refs/heads/main
←
from: refs/pr/9
Discussion Files changed
+42
-32
Files changed (1) hide show
  1. README.md +42 -32
README.md CHANGED
@@ -1,27 +1,27 @@
1
  ---
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- tags:
3
- - autotrain
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  language: en
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- widget:
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- - text: "I love AutoTrain \U0001F917"
7
  datasets:
8
  - lewtun/autotrain-data-acronym-identification
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  - acronym_identification
 
 
10
  co2_eq_emissions: 10.435358044493652
11
  model-index:
12
  - name: autotrain-demo
13
  results:
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  - task:
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- name: Token Classification
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  type: token-classification
 
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  dataset:
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  name: acronym_identification
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  type: acronym_identification
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  args: default
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  metrics:
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- - name: Accuracy
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- type: accuracy
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  value: 0.9708090976211485
 
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  - task:
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  type: token-classification
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  name: Token Classification
@@ -31,26 +31,36 @@ model-index:
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  config: default
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  split: train
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  metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.9790777669399117
 
 
 
 
 
37
  verified: true
38
- - name: Precision
39
- type: precision
40
- value: 0.9197835301644851
 
41
  verified: true
42
- - name: Recall
43
- type: recall
44
- value: 0.946479027789208
 
45
  verified: true
46
- - name: F1
47
- type: f1
48
- value: 0.9329403493591477
 
49
  verified: true
50
- - name: loss
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- type: loss
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- value: 0.06360606849193573
 
53
  verified: true
 
54
  - task:
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  type: token-classification
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  name: Token Classification
@@ -60,25 +70,25 @@ model-index:
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  config: default
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  split: validation
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  metrics:
63
- - name: Accuracy
64
- type: accuracy
65
  value: 0.9758354452761242
 
66
  verified: true
67
- - name: Precision
68
- type: precision
69
  value: 0.9339674814732883
 
70
  verified: true
71
- - name: Recall
72
- type: recall
73
  value: 0.9159344831326608
 
74
  verified: true
75
- - name: F1
76
- type: f1
77
  value: 0.9248630887185104
 
78
  verified: true
79
- - name: loss
80
- type: loss
81
  value: 0.07593930512666702
 
82
  verified: true
83
  ---
84
 
 
1
  ---
 
 
2
  language: en
3
+ tags:
4
+ - autotrain
5
  datasets:
6
  - lewtun/autotrain-data-acronym-identification
7
  - acronym_identification
8
+ widget:
9
+ - text: I love AutoTrain 🤗
10
  co2_eq_emissions: 10.435358044493652
11
  model-index:
12
  - name: autotrain-demo
13
  results:
14
  - task:
 
15
  type: token-classification
16
+ name: Token Classification
17
  dataset:
18
  name: acronym_identification
19
  type: acronym_identification
20
  args: default
21
  metrics:
22
+ - type: accuracy
 
23
  value: 0.9708090976211485
24
+ name: Accuracy
25
  - task:
26
  type: token-classification
27
  name: Token Classification
 
31
  config: default
32
  split: train
33
  metrics:
34
+ - type: accuracy
35
+ value: 0.9790759837443896
36
+ name: Accuracy
37
+ verified: true
38
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZWYyZmNlOTQ5ZDI2M2M3MzU0MjFlOTk2NmU4OWE2NmRhZjVmMjU2YjQ2NzVhOTI5NzlkNmRlMDZiZDk5MmNhZCIsInZlcnNpb24iOjF9.z2txFpso3r0MkskuoGYbp4Def5NiSyvwyY1IHrifAm_MYnELet0L5l8cs7VQiPiZiuqJ5TlfdVZw8SODoPU8BA
39
+ - type: precision
40
+ value: 0.9198149678726638
41
+ name: Precision
42
  verified: true
43
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZWFiYjliYzAyZmQ1NDJjZTdiZWU4MDI4ZGIxYjVkY2MxMzBmZTQxZmZhNTI5NjQ1MWEyNmUwZjE4NDZjYjNhNiIsInZlcnNpb24iOjF9.ACf9WWzVw5W8-JX229-Cbz9brcS-nJoN0PjIv7MqR-wQHyOqu3K6NJ8jXcKRLO8_B7K3oMJhag1Nnd8Vl8YMDA
44
+ - type: recall
45
+ value: 0.9464104463281485
46
+ name: Recall
47
  verified: true
48
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODkzZDViMTMxMmVjMmVlMmJkOTE3M2NhNzQ1YTNkMTFjZjgwZDg0ZDIwOGQ5YTA5YTZjMTJiOGNjMmQ3MWViMSIsInZlcnNpb24iOjF9.18hBLYdO6I09o58rRnw3e348hTPh9qpZUyzgV_a6tiOYP0r-Jbyuya3sAKyHKpwM38Sj6GbMdWHZhSzTZQprCg
49
+ - type: f1
50
+ value: 0.9329232017306652
51
+ name: F1
52
  verified: true
53
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTRhYjIzYjU0OGVkM2JiYzk4NjM0MjEwZmJjODUwNDBiMWM4YmU4N2NmYWUzNDU3NDMwZGEwMmI3ZDM3ODZlYyIsInZlcnNpb24iOjF9.NDsGfpVOQATTUndeuHsMo6_sovMA8NsFFuiS6fRpzRGZuNkNex9X8y_QdrbWARLkPa7otaiVBITZmx1-GC03CA
54
+ - type: loss
55
+ value: 0.0635102167725563
56
+ name: loss
57
  verified: true
58
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDc0MDU5MzMzMTE5ZGIxYTJiNDYxN2ExNDgwYTA2YjMxZGQzYjliNDRkZDgxMjRmOWNhYmUyMDUwOTc0ZDIzOCIsInZlcnNpb24iOjF9.2TI5fvK_-vuDXhuU2dQy_wLdJI6cFzah3dnIJGBXz-KjxNXlk80EwlTG6z5D67I6DL5gPrdLAcntj_1r45uqDg
59
+ - type: auc
60
+ value: NaN
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+ name: AUC
62
  verified: true
63
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTY5MjdlZjk1MzRiMzQ2MDJkODNlMzE0YzM4YWZlOGYwN2RhMGYxMGRmOTk0MjZmZDU0ZGNhOTZiMzk5NGQyZSIsInZlcnNpb24iOjF9.brkCtVbx4JLv4qx_fWoNywrCerV_uxjMuItJB78dAzv0OBMS6yq-78I2yYNS9acUGBNmlOcTDzxpg_oZEe0zCA
64
  - task:
65
  type: token-classification
66
  name: Token Classification
 
70
  config: default
71
  split: validation
72
  metrics:
73
+ - type: accuracy
 
74
  value: 0.9758354452761242
75
+ name: Accuracy
76
  verified: true
77
+ - type: precision
 
78
  value: 0.9339674814732883
79
+ name: Precision
80
  verified: true
81
+ - type: recall
 
82
  value: 0.9159344831326608
83
+ name: Recall
84
  verified: true
85
+ - type: f1
 
86
  value: 0.9248630887185104
87
+ name: F1
88
  verified: true
89
+ - type: loss
 
90
  value: 0.07593930512666702
91
+ name: loss
92
  verified: true
93
  ---
94