Hugging Face's logo

Ce
/
bert-finetuned-ner

Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Model card Files
xet
Metrics Community
2

Add evaluation results on the conll2003 config and test split of conll2003

#1
by autoevaluator HF Staff - opened
base: refs/heads/main
←
from: refs/pr/1
Discussion Files changed
+48
-9
Files changed (1) hide show
  1. README.md +48 -9
README.md CHANGED
@@ -13,25 +13,64 @@ model-index:
13
  - name: bert-finetuned-ner
14
  results:
15
  - task:
16
- name: Token Classification
17
  type: token-classification
 
18
  dataset:
19
  name: conll2003
20
  type: conll2003
21
  args: conll2003
22
  metrics:
23
- - name: Precision
24
- type: precision
25
  value: 0.9329581195166363
26
- - name: Recall
27
- type: recall
28
  value: 0.9485021878155503
29
- - name: F1
30
- type: f1
31
  value: 0.9406659434198448
32
- - name: Accuracy
33
- type: accuracy
34
  value: 0.985356449049273
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
35
  ---
36
 
37
  <!-- 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: conll2003
20
  type: conll2003
21
  args: conll2003
22
  metrics:
23
+ - type: precision
 
24
  value: 0.9329581195166363
25
+ name: Precision
26
+ - type: recall
27
  value: 0.9485021878155503
28
+ name: Recall
29
+ - type: f1
30
  value: 0.9406659434198448
31
+ name: F1
32
+ - type: accuracy
33
  value: 0.985356449049273
34
+ name: Accuracy
35
+ - task:
36
+ type: token-classification
37
+ name: Token Classification
38
+ dataset:
39
+ name: conll2003
40
+ type: conll2003
41
+ config: conll2003
42
+ split: test
43
+ metrics:
44
+ - type: accuracy
45
+ value: 0.8998282409668931
46
+ name: Accuracy
47
+ verified: true
48
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGY2OWQ3ZjUzMjU1NjE0NmNjOTBjNzU4ZTMwOTk5Yjg3M2JiZWEyMTA4NmRmNmZmYTM4NTQ0MWQ2M2M2ZmFiMSIsInZlcnNpb24iOjF9.W_zZkhiwURr4s02RHmlqvhPBNSG203Rg0r19bOX-V7hptvJ5PPOmlf8812-mr8n3OzbtBOUtSyQ1GqEfwLruDg
49
+ - type: precision
50
+ value: 0.9289800450920349
51
+ name: Precision
52
+ verified: true
53
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiN2VmY2UxZWI4NTRlMWM2ZWRmOTJmZWY4MWIzM2ZlNTg2ZmVkOTcyZWNhMjM4ZGMwNmJiNWJhMzRlMzcwOGE5YyIsInZlcnNpb24iOjF9.l2N76E2Z1BIpgpZW2ftwnwK3XWOcum7B_2rOKV3jHuz5jNxsRJE1ijEciycVz4LcpmR_uCeXMgP635y7ANxhBg
54
+ - type: recall
55
+ value: 0.915425937593262
56
+ name: Recall
57
+ verified: true
58
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGNjNGQxZThhNDdmZTg4MWQ0OWE2NmVkM2E4ZTliNDkyZjVlOGU1ZjhlNzU3MDdlYTYxZGYyNmFkYTQxOTg0MiIsInZlcnNpb24iOjF9.mpenw6Oc9jWHYMhcA9iQq9vNEXEyp7SFcw5OpoYM-VSBDhTE6ls2Bis31wuiK5_J6iAsdz4-WRFqF4D5NuwRDw
59
+ - type: auc
60
+ value: NaN
61
+ name: AUC
62
+ verified: true
63
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWI3NDVjYTZjNGIwNWJmNjUxNmFmZWFlZjgxNTQ2MmIyZTgyNDdkNDEzZTA3YTAwYTUyOGRkYzI1OGU5ZjNmMCIsInZlcnNpb24iOjF9.2GTBzDgINbkOHql9ubKt-yTYIhqdUdqCy7dyO6qtRKy5f0RqciGljbDF60rEi2Kk1oy3s0rogy7IyN04LTp1BA
64
+ - type: f1
65
+ value: 0.9221531883622275
66
+ name: F1
67
+ verified: true
68
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDQ3M2JlNTQ1ZTIzMjM2ODVjMDJlZmMzZTQ0ODE1ZTQ3Yzc5OTMzYzkxMDZjNzJkNDE3Y2NlZTJiYTE3YTI2MyIsInZlcnNpb24iOjF9.rw7QYqH-Nl5LcRPMkjRTwpL6a39vO-aM8ByQdH5cNwEdAnJWnXmfO0sLbwufv8AI1A0JyDjQ5NAsQA5JZLiFCg
69
+ - type: loss
70
+ value: 0.8484721779823303
71
+ name: loss
72
+ verified: true
73
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWZlZWI5NjUxYzdiZTNiOGE5ZWZhMDZiMDQ2ZjY3ZmEwZTFiYzFlYjQwZWViNmE0NmRhNWU2NjlmMzVjYjhkOSIsInZlcnNpb24iOjF9.Y8ANGfc1yDhHe0vGbYiGd4qJvnqymfwQZipf7kn9HOnGM6MXA0hz3X4IBUBwy0sKEffDGsTDredPrMICVF6nAg
74
  ---
75
 
76
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You