lewtun HF staff commited on
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Add evaluation results on the autoevaluate--conll2003-sample config and test split of autoevaluate/conll2003-sample

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

@lewtun

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-19f625bb-a07b-4f3a-bec2-d734d6029176-6159).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=autoevaluate/conll2003-sample).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=autoevaluate/conll2003-sample).

Files changed (1) hide show
  1. README.md +43 -9
README.md CHANGED
@@ -14,25 +14,59 @@ model-index:
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  - name: entity-extraction
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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: 0.8862817854414493
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- - name: Recall
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- type: recall
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  value: 0.9084908826490659
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- - name: F1
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- type: f1
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  value: 0.8972489227709645
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- - name: Accuracy
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- type: accuracy
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  value: 0.9774889986814304
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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
 
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  - name: entity-extraction
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  results:
16
  - task:
 
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  type: token-classification
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+ name: Token Classification
19
  dataset:
20
  name: conll2003
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  type: conll2003
22
  args: conll2003
23
  metrics:
24
+ - type: precision
 
25
  value: 0.8862817854414493
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+ name: Precision
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+ - type: recall
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  value: 0.9084908826490659
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+ name: Recall
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+ - type: f1
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  value: 0.8972489227709645
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+ name: F1
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+ - type: accuracy
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  value: 0.9774889986814304
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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: autoevaluate/conll2003-sample
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+ type: autoevaluate/conll2003-sample
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+ config: autoevaluate--conll2003-sample
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+ split: test
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+ metrics:
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+ - type: accuracy
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+ value: 0.9680247550283652
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+ name: Accuracy
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+ verified: true
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+ - type: precision
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+ value: 0.9708377518557795
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+ name: Precision
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+ verified: true
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+ - type: recall
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+ value: 0.9754928076718167
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+ name: Recall
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+ verified: true
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+ name: F1
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+ - type: loss
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+ value: 0.1187286302447319
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+ name: loss
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+ verified: true
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+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWFlYThiZGFhYzI4ZjZiNDUyMmQ3ZDVhMGIzZDJhNmU3ZjEwNTU1NTE2YjA3ZjM2NGNlNTA1MmYwNWY4NTdjMiIsInZlcnNpb24iOjF9.qBgBdwqISdVvRHyJQ-8JgqeGGG6J1wrNEcoJiqUgZ8OQIn8FKi6I0xmdBukkoYMapegWqwIGjNVNF4WAsjoyAg
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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