Librarian Bot: Add base_model information to model
#3
by
librarian-bot
- opened
README.md
CHANGED
@@ -1,4 +1,6 @@
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---
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license: mit
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tags:
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- generated_from_trainer
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@@ -9,12 +11,18 @@ metrics:
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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: bert-italian-finetuned-ner
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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: wiki_neural
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type: wiki_neural
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@@ -22,25 +30,18 @@ model-index:
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split: validation
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args: it
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metrics:
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type: precision
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value: 0.9438064759036144
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value: 0.954225352112676
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value: 0.9489873178118493
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value: 0.9917883014379933
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-
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- text: 'Ciao, sono Giacomo. Vivo a Milano e lavoro da Armani. '
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example_title: Example 1
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- text: 'Domenica andrò allo stadio con Giovanna a guardare la Fiorentina. '
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example_title: Example 2
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language:
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- it
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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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language:
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- it
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license: mit
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tags:
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- generated_from_trainer
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- recall
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- f1
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- accuracy
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widget:
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- text: 'Ciao, sono Giacomo. Vivo a Milano e lavoro da Armani. '
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example_title: Example 1
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- text: 'Domenica andrò allo stadio con Giovanna a guardare la Fiorentina. '
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example_title: Example 2
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base_model: dbmdz/bert-base-italian-cased
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model-index:
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- name: bert-italian-finetuned-ner
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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: wiki_neural
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type: wiki_neural
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split: validation
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args: it
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metrics:
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- type: precision
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value: 0.9438064759036144
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name: Precision
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- type: recall
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value: 0.954225352112676
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name: Recall
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- type: f1
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value: 0.9489873178118493
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name: F1
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- type: accuracy
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value: 0.9917883014379933
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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
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