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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 validation split of acronym_identification

#5
by autoevaluator HF staff - opened
base: refs/heads/main
←
from: refs/pr/5
Discussion Files changed
+42
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Files changed (1) hide show
  1. README.md +42 -32
README.md CHANGED
@@ -1,27 +1,27 @@
1
  ---
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- tags:
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- - autotrain
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  language: en
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- widget:
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- - text: "I love AutoTrain \U0001F917"
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  datasets:
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  - lewtun/autotrain-data-acronym-identification
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  - acronym_identification
 
 
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  co2_eq_emissions: 10.435358044493652
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  model-index:
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  - 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
@@ -31,25 +31,25 @@ 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
 
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  verified: true
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- - name: Precision
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- type: precision
40
  value: 0.9197835301644851
 
41
  verified: true
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- - name: Recall
43
- type: recall
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  value: 0.946479027789208
 
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  verified: true
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- - name: F1
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- type: f1
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  value: 0.9329403493591477
 
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  verified: true
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- - name: loss
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- type: loss
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  value: 0.06360606849193573
 
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  verified: true
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  - task:
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  type: token-classification
@@ -60,26 +60,36 @@ model-index:
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  config: default
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  split: validation
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  metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.9758354452761242
 
 
 
 
 
66
  verified: true
67
- - name: Precision
68
- type: precision
69
- value: 0.9339674814732883
 
70
  verified: true
71
- - name: Recall
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- type: recall
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- value: 0.9159344831326608
 
74
  verified: true
75
- - name: F1
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- type: f1
77
- value: 0.9248630887185104
 
78
  verified: true
79
- - name: loss
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- type: loss
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- value: 0.07593930512666702
 
82
  verified: true
 
83
  ---
84
 
85
  # Model Trained Using AutoTrain
 
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
 
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  config: default
32
  split: train
33
  metrics:
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+ - type: accuracy
 
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  value: 0.9790777669399117
36
+ name: Accuracy
37
  verified: true
38
+ - type: precision
 
39
  value: 0.9197835301644851
40
+ name: Precision
41
  verified: true
42
+ - type: recall
 
43
  value: 0.946479027789208
44
+ name: Recall
45
  verified: true
46
+ - type: f1
 
47
  value: 0.9329403493591477
48
+ name: F1
49
  verified: true
50
+ - type: loss
 
51
  value: 0.06360606849193573
52
+ name: loss
53
  verified: true
54
  - task:
55
  type: token-classification
 
60
  config: default
61
  split: validation
62
  metrics:
63
+ - type: accuracy
64
+ value: 0.9758059763069488
65
+ name: Accuracy
66
+ verified: true
67
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTE2M2JlMDBhNDVlMDNmMmUxYTllYTM3MTQyYWIyYmI4OWM4MWM2MDYzNWI5ZTY4YmE4ZTYxODYzNGY4ZTU4NSIsInZlcnNpb24iOjF9.lplj1GdLZOa7EQq_-eDkWMOndxM7I3JMInAPS8Lh1ym-6NZFe8HAVtPtw6uYE1kw3bYSFLiJeDhu17qr4W0LCQ
68
+ - type: precision
69
+ value: 0.9339528708927979
70
+ name: Precision
71
  verified: true
72
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYThjZDI5MTJjZDhmMzgxYmRlYmMxNjRhZTgyM2JkNmVjYWJiZmEyOTIxZDIzNTA0NWFiMmI0YjA0OWUwMmIzNyIsInZlcnNpb24iOjF9.ZGHY1xycw3oPLCswGga9vkSb-EIXjyf-euFLqPYh96B1N6LGRymo-r85cEwTp1Kr-uR6qVeUMrX2mmwL7O2wAw
73
+ - type: recall
74
+ value: 0.9157175398633257
75
+ name: Recall
76
  verified: true
77
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjk5Mzk3MzRlYjg2ZWNmOTZlN2QwZjQ2Y2ZlNzU2NzljODU1NmRmNWVjMmIxODdhZTE4NmQwYTNkY2E2MGZlZSIsInZlcnNpb24iOjF9.JShPPAdznEKVso15qYmJ9OcdiV_W4pE1wrHVZ_A_-bkhboIUATN-rXK2KZmfq1nS3Jxip3qn9GYeFxP9tGU0Dg
78
+ - type: f1
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+ value: 0.924745317121262
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+ name: F1
81
  verified: true
82
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzlmMDM2ODVmYmEwMDJhZGI5MWI3NjRlNzEwMWYyY2NiMmQ0NjdkZjc2NzFiZmI3Y2VmYWM0MjlmYzFlN2E5NCIsInZlcnNpb24iOjF9.rpqmuMdlxFevTn374B5_eGMlAF79VVGhRIx3ksd2p-2_kHyhRwnjxqs5elQpH_tIHUGSIM49hLqAFi14EKGiAA
83
+ - type: loss
84
+ value: 0.07582829147577286
85
+ name: loss
86
  verified: true
87
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjYzMDlmNzNiMmRlYmY0ODZhMWM0ZmI3ODJhNDRiM2E1YjczMzBlNDNjM2I2ODBiMzc5NDEzZGIxMjAzMWM2YiIsInZlcnNpb24iOjF9.G7UXqxGnqnfgdze04NsyRsO-SAqNXV81kK7Jp_SYjVP_4gbL0ovV9JDd3hk_h0pWSMVNjgFhI6cwZGXZLsTJBw
88
+ - type: auc
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+ value: NaN
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+ name: AUC
91
  verified: true
92
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWQyNGFiMDc1ZDgwNGQ5NjFmNzhmZDM4NTYwNzEyYzBhNDQxMzc2ZDczOGJhNWFhMGMwOWE4MTRhNTY3NGQxYiIsInZlcnNpb24iOjF9.WcXce6HBjzSEqOOJoVJU33kF-MjwVZj2a4OWuUd_GIv32NUJVueRWzzHdvUDI_KlPvvvamQJgqN-cCILFaTRAw
93
  ---
94
 
95
  # Model Trained Using AutoTrain