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Librarian Bot: Add base_model information to model (#2)

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- Librarian Bot: Add base_model information to model (a8cab5972b1ab3b4c680c3d1459597bac3f0d032)


Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>

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  1. README.md +21 -17
README.md CHANGED
@@ -1,8 +1,6 @@
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  ---
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- license: apache-2.0
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  language: en
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- datasets:
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- - Jzuluaga/atco2_corpus_1h
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  tags:
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  - text
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  - token-classification
@@ -11,41 +9,47 @@ tags:
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  - generated_from_trainer
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  - bert
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  - ner-for-atc
 
 
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  metrics:
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  - Precision
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  - Recall
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  - Accuracy
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  - F1
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  widget:
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- - text: "csa two nine six startup approved mike current qnh one zero one eight time check one seven"
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- - text: "swiss four eight seven november runway three one cleared for takeoff wind one three zero degrees seven knots"
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- - text: "lufthansa five yankee victor runway one three clear to land wind zero seven zero degrees"
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- - text: "austrian seven one zulu hello to you reduce one six zero knots"
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- - text: "sky travel one nine two approaching holding point three one ready for departure"
 
 
 
 
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  model-index:
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  - name: bert-base-ner-atc-en-atco2-1h
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  results:
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  - task:
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- type: token-classification
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- name: ner
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  dataset:
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- type: Jzuluaga/atco2_corpus_1h
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- name: ATCO2 corpus (Air Traffic Control Communications)
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- config: test
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- split: test
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  metrics:
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  - type: F1
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  value: 0.94
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  name: TEST F1 (callsign)
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- verified: False
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  - type: F1
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  value: 0.74
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  name: TEST F1 (command)
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- verified: False
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  - type: F1
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  value: 0.81
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  name: TEST F1 (value)
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- verified: False
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  ---
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  # bert-base-ner-atc-en-atco2-1h
 
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  ---
 
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  language: en
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+ license: apache-2.0
 
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  tags:
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  - text
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  - token-classification
 
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  - generated_from_trainer
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  - bert
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  - ner-for-atc
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+ datasets:
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+ - Jzuluaga/atco2_corpus_1h
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  metrics:
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  - Precision
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  - Recall
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  - Accuracy
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  - F1
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  widget:
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+ - text: csa two nine six startup approved mike current qnh one zero one eight time
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+ check one seven
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+ - text: swiss four eight seven november runway three one cleared for takeoff wind
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+ one three zero degrees seven knots
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+ - text: lufthansa five yankee victor runway one three clear to land wind zero seven
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+ zero degrees
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+ - text: austrian seven one zulu hello to you reduce one six zero knots
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+ - text: sky travel one nine two approaching holding point three one ready for departure
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+ base_model: bert-base-uncased
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  model-index:
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  - name: bert-base-ner-atc-en-atco2-1h
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  results:
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  - task:
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+ type: token-classification
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+ name: ner
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  dataset:
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+ name: ATCO2 corpus (Air Traffic Control Communications)
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+ type: Jzuluaga/atco2_corpus_1h
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+ config: test
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+ split: test
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  metrics:
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  - type: F1
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  value: 0.94
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  name: TEST F1 (callsign)
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+ verified: false
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  - type: F1
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  value: 0.74
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  name: TEST F1 (command)
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+ verified: false
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  - type: F1
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  value: 0.81
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  name: TEST F1 (value)
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+ verified: false
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  ---
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  # bert-base-ner-atc-en-atco2-1h