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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 (115fb1e59f4a1713ac5764ab3b30579a92d53764)


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

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  1. README.md +23 -18
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/uwb_atcc
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  tags:
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  - text
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  - token-classification
@@ -11,6 +9,8 @@ tags:
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  - generated_from_trainer
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  - bert
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  - bertraffic
 
 
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  metrics:
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  - Precision
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  - Recall
@@ -18,42 +18,47 @@ metrics:
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  - F1
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  - Jaccard Error Rate
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  widget:
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- - text: "lining up runway three one csa five bravo easy five three kilo romeo contact ruzyne ground one two one decimal nine good bye"
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- - text: "csa seven three two zero so change of taxi quality eight nine sierra we need to full length britair five nine zero bravo contact ruzyne ground one two one decimal nine good bye"
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- - text: "swiss four six one foxtrot line up runway three one and wait one two one nine csa four yankee alfa"
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- - text: "tower klm five five tango ils three one wizz air four papa uniform tower roger"
 
 
 
 
 
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  model-index:
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  - name: bert-base-token-classification-for-atc-en-uwb-atcc
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  results:
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  - task:
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- type: token-classification
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- name: chunking
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  dataset:
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- type: Jzuluaga/uwb_atcc
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- name: UWB-ATCC 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: 0.87
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  name: TEST F1 (macro)
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- verified: False
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  - type: Accuracy
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  value: 0.91
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  name: TEST Accuracy
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- verified: False
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  - type: Precision
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  value: 0.86
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  name: TEST Precision (macro)
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- verified: False
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  - type: Recall
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  value: 0.88
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  name: TEST Recall (macro)
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- verified: False
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  - type: Jaccard Error Rate
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  value: 0.169
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  name: TEST Jaccard Error Rate
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- verified: False
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  ---
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  # bert-base-token-classification-for-atc-en-uwb-atcc
 
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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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  - bertraffic
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+ datasets:
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+ - Jzuluaga/uwb_atcc
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  metrics:
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  - Precision
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  - Recall
 
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  - F1
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  - Jaccard Error Rate
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  widget:
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+ - text: lining up runway three one csa five bravo easy five three kilo romeo contact
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+ ruzyne ground one two one decimal nine good bye
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+ - text: csa seven three two zero so change of taxi quality eight nine sierra we need
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+ to full length britair five nine zero bravo contact ruzyne ground one two one
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+ decimal nine good bye
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+ - text: swiss four six one foxtrot line up runway three one and wait one two one nine
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+ csa four yankee alfa
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+ - text: tower klm five five tango ils three one wizz air four papa uniform tower roger
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+ base_model: bert-base-uncased
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  model-index:
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  - name: bert-base-token-classification-for-atc-en-uwb-atcc
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  results:
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  - task:
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+ type: token-classification
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+ name: chunking
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  dataset:
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+ name: UWB-ATCC corpus (Air Traffic Control Communications)
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+ type: Jzuluaga/uwb_atcc
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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: 0.87
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  name: TEST F1 (macro)
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+ verified: false
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  - type: Accuracy
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  value: 0.91
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  name: TEST Accuracy
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+ verified: false
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  - type: Precision
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  value: 0.86
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  name: TEST Precision (macro)
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+ verified: false
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  - type: Recall
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  value: 0.88
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  name: TEST Recall (macro)
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+ verified: false
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  - type: Jaccard Error Rate
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  value: 0.169
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  name: TEST Jaccard Error Rate
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+ verified: false
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  ---
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  # bert-base-token-classification-for-atc-en-uwb-atcc