Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator

#2
by autoevaluator HF Staff - opened
Files changed (1) hide show
  1. README.md +24 -19
README.md CHANGED
@@ -13,25 +13,25 @@ model-index:
13
  - name: bert-finetuned-ner
14
  results:
15
  - task:
16
- name: Token Classification
17
  type: token-classification
 
18
  dataset:
19
  name: wikiann
20
  type: wikiann
21
  args: en
22
  metrics:
23
- - name: Precision
24
- type: precision
25
  value: 0.819622641509434
26
- - name: Recall
27
- type: recall
28
  value: 0.8444790046656299
29
- - name: F1
30
- type: f1
31
  value: 0.8318651857525853
32
- - name: Accuracy
33
- type: accuracy
34
  value: 0.9269227060339613
 
35
  - task:
36
  type: token-classification
37
  name: Token Classification
@@ -41,26 +41,31 @@ model-index:
41
  config: en
42
  split: test
43
  metrics:
44
- - name: Accuracy
45
- type: accuracy
46
  value: 0.8492771401033908
 
47
  verified: true
48
- - name: Precision
49
- type: precision
50
  value: 0.857294905524994
 
51
  verified: true
52
- - name: Recall
53
- type: recall
54
  value: 0.865900059186607
 
55
  verified: true
56
- - name: F1
57
- type: f1
58
  value: 0.8615759964905745
 
59
  verified: true
60
- - name: loss
61
- type: loss
62
  value: 1.054654836654663
 
63
  verified: true
 
64
  ---
65
 
66
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
13
  - name: bert-finetuned-ner
14
  results:
15
  - task:
 
16
  type: token-classification
17
+ name: Token Classification
18
  dataset:
19
  name: wikiann
20
  type: wikiann
21
  args: en
22
  metrics:
23
+ - type: precision
 
24
  value: 0.819622641509434
25
+ name: Precision
26
+ - type: recall
27
  value: 0.8444790046656299
28
+ name: Recall
29
+ - type: f1
30
  value: 0.8318651857525853
31
+ name: F1
32
+ - type: accuracy
33
  value: 0.9269227060339613
34
+ name: Accuracy
35
  - task:
36
  type: token-classification
37
  name: Token Classification
 
41
  config: en
42
  split: test
43
  metrics:
44
+ - type: accuracy
 
45
  value: 0.8492771401033908
46
+ name: Accuracy
47
  verified: true
48
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzBiYWQzYmMyZmVlYjE5MWE3YzVmYTkwMmM1NTg0YjkzNjUyODUyM2MxMmNiMzUzMDdmMDU5ZTAxNTZhMzU3ZiIsInZlcnNpb24iOjF9.pjahmHw_95en3CxQC4qTLqjhbrlW6l4F40AL5l3e44ReaQfKh1dBgEg352wscAWUr-wyCeVvi8k-tRtcNz5CDw
49
+ - type: precision
50
  value: 0.857294905524994
51
+ name: Precision
52
  verified: true
53
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWRlMGZhMzdlZGQ0MDZmMzhiZjAwOTU5MTIyYWIwZTcxMjlhMGQwZmI2ZjRjYjZiNDhhMjA2MTA2MmEyZTNmMiIsInZlcnNpb24iOjF9.SHeytGwRhs31SLRPdOE8qDLchkcbKIzCmZD20mYTUIhJMjB1QzM9nkeyf1HOeJcRqAVBT1zLDvVI8IB-8h1bDw
54
+ - type: recall
55
  value: 0.865900059186607
56
+ name: Recall
57
  verified: true
58
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjVhMjM4NzA5MjhhMjAzZGMxZWNhNTI4YjdmYWU4NzMxNjM3MzkzNTcxZTBkMDI4NTY3MzQ1MjVhNmM5ZGNkNSIsInZlcnNpb24iOjF9.1OAFPZA6P2drEv04gBylHw7fGhLMeai7QyC7WBBzUZdsKZKTu2xnWF5T4Pgh9FXRHef490yUsHXb5PvbgeQuBQ
59
+ - type: f1
60
  value: 0.8615759964905745
61
+ name: F1
62
  verified: true
63
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2MxY2ZmZGJiNjYwMzRhYTNkNjcxZjc3ZmQ3ZTRhMzA5MmVkNjVhNjZlNzg0ZjdiMTIzYWI0MDU4NjFmZGQzNyIsInZlcnNpb24iOjF9.aQwwPRag1lnqjxf8aLd0DyGcsLPlhNvXaqISNWakpiMBPQkHDnYGhsCotPFjT5GVQ9TYSRIdj7NZizruqUw5CA
64
+ - type: loss
65
  value: 1.054654836654663
66
+ name: loss
67
  verified: true
68
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTQ4ZTg5NjNiYmVkM2M4MzgwZmRkZjY5NTNlNWU5NDQ3N2RiOGM1NzFjOWZhNGI2YTlhNDA0YjBkNWU1NzA2OSIsInZlcnNpb24iOjF9.WY3AXzDYlwga_sE9s3cRukgmkWbUXmOBZd8MqN_24xcZeUo8zuIBIAvDMV49tcIlhObvAJh_7_L1KZvs_CocCQ
69
  ---
70
 
71
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You