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Upload tokenizer

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  1. README.md +10 -10
README.md CHANGED
@@ -1,8 +1,8 @@
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  ---
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  license: apache-2.0
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- base_model: bert-base-uncased
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  tags:
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  - generated_from_trainer
 
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  datasets:
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  - conll2003
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  metrics:
@@ -14,8 +14,8 @@ model-index:
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  - name: NER_Pittsburgh_TAA
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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
@@ -23,18 +23,18 @@ model-index:
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  split: validation
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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: 0.9343718926085516
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- - name: Recall
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- type: recall
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  value: 0.9460789797516501
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- - name: F1
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- type: f1
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  value: 0.940188993885492
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- - name: Accuracy
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- type: accuracy
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  value: 0.9858293484995313
 
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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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  ---
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  license: apache-2.0
 
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  tags:
4
  - generated_from_trainer
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+ base_model: bert-base-uncased
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  datasets:
7
  - conll2003
8
  metrics:
 
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  - name: NER_Pittsburgh_TAA
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  results:
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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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  split: validation
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  args: conll2003
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  metrics:
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+ - type: precision
 
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  value: 0.9343718926085516
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+ name: Precision
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+ - type: recall
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  value: 0.9460789797516501
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+ name: Recall
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+ - type: f1
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  value: 0.940188993885492
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+ name: F1
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+ - type: accuracy
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  value: 0.9858293484995313
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+ name: Accuracy
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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