autoevaluator HF Staff commited on
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Add evaluation results on the conll2003 config and test split of conll2003

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Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the conll2003 config and test split of the [conll2003](https://huggingface.co/datasets/conll2003) dataset by

@ashwathjadhav23
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-conll2003-conll2003-19d2d7-41085145069).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=conll2003).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=conll2003).

Files changed (1) hide show
  1. README.md +48 -9
README.md CHANGED
@@ -13,25 +13,64 @@ model-index:
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  - name: bert-finetuned-ner
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  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: conll2003
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  type: conll2003
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  args: conll2003
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  metrics:
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- - name: Precision
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- type: precision
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  value: 0.9329581195166363
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- - name: Recall
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- type: recall
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  value: 0.9485021878155503
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- - name: F1
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- type: f1
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  value: 0.9406659434198448
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- - name: Accuracy
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- type: accuracy
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  value: 0.985356449049273
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
35
  ---
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  <!-- 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:
 
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  type: token-classification
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+ name: Token Classification
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  dataset:
19
  name: conll2003
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  type: conll2003
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  args: conll2003
22
  metrics:
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+ - type: precision
 
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  value: 0.9329581195166363
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+ name: Precision
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+ - type: recall
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  value: 0.9485021878155503
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+ name: Recall
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+ - type: f1
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  value: 0.9406659434198448
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+ name: F1
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+ - type: accuracy
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  value: 0.985356449049273
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+ name: Accuracy
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+ - task:
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+ type: token-classification
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+ name: Token Classification
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+ dataset:
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+ name: conll2003
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+ type: conll2003
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+ config: conll2003
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+ split: test
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+ metrics:
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+ - type: accuracy
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+ value: 0.8998282409668931
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+ name: Accuracy
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+ verified: true
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+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGY2OWQ3ZjUzMjU1NjE0NmNjOTBjNzU4ZTMwOTk5Yjg3M2JiZWEyMTA4NmRmNmZmYTM4NTQ0MWQ2M2M2ZmFiMSIsInZlcnNpb24iOjF9.W_zZkhiwURr4s02RHmlqvhPBNSG203Rg0r19bOX-V7hptvJ5PPOmlf8812-mr8n3OzbtBOUtSyQ1GqEfwLruDg
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+ - type: precision
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+ value: 0.9289800450920349
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+ name: Precision
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+ verified: true
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+ - type: recall
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+ value: 0.915425937593262
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+ name: Recall
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+ verified: true
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+ - type: auc
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+ value: NaN
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+ name: AUC
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+ verified: true
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+ - type: f1
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+ name: F1
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+ verified: true
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+ - type: loss
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+ value: 0.8484721779823303
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+ name: loss
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+ verified: true
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+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWZlZWI5NjUxYzdiZTNiOGE5ZWZhMDZiMDQ2ZjY3ZmEwZTFiYzFlYjQwZWViNmE0NmRhNWU2NjlmMzVjYjhkOSIsInZlcnNpb24iOjF9.Y8ANGfc1yDhHe0vGbYiGd4qJvnqymfwQZipf7kn9HOnGM6MXA0hz3X4IBUBwy0sKEffDGsTDredPrMICVF6nAg
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You