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  license: apache-2.0
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  tags:
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  - generated_from_trainer
 
 
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  datasets:
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  - wnut_17
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  metrics:
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- - seqeval
 
 
 
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  model-index:
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- - name: fine_tune_bert_output_LP_FP
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  results:
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- - task:
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- type: token-classification # Required. Example: automatic-speech-recognition
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- name: named-entity-recognition # Optional. Example: Speech Recognition
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  dataset:
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- type: wnut_17 # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
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- name: wnut_17 # Optional. Example: Common Voice zh-CN
 
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  metrics:
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- - type: seqeval # Required. Example: wer
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- value: 0.5508159175493844 # Required. Example: 20.90
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- name: test_overall_f1 # Optional. Example: Test WER
 
 
 
 
 
 
 
 
 
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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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  license: apache-2.0
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  tags:
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  - generated_from_trainer
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+ - named-entity-recognition
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+ - token-classification
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  datasets:
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  - wnut_17
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  metrics:
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+ - precision
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+ - recall
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+ - f1
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+ - accuracy
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  model-index:
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+ - name: fine_tune_bertweet-base-lp-ft
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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: wnut_17
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+ type: wnut_17
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+ args: semval
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  metrics:
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+ - name: Precision
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+ type: precision
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+ value: 0.6154830454254638
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+ - name: Recall
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+ type: recall
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+ value: 0.49844559585492226
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+ - name: F1
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+ type: f1
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+ value: 0.5508159175493844
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.9499198834668608
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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