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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 (898aba506bdf014866cfde4cca46288533018554)


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  1. README.md +13 -10
README.md CHANGED
@@ -6,12 +6,22 @@ datasets:
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  - winograd_wsc
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  metrics:
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  - rouge
 
 
 
 
 
 
 
 
 
 
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  model-index:
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  - name: flan-t5-large-coref
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  results:
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  - task:
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- name: Sequence-to-sequence Language Modeling
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  type: text2text-generation
 
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  dataset:
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  name: winograd_wsc
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  type: winograd_wsc
@@ -19,16 +29,9 @@ model-index:
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  split: test
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  args: wsc285
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  metrics:
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- - name: Rouge1
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- type: rouge
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  value: 0.9495
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- widget:
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- - text: "Sam has a Parker pen. He loves writing with it."
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- example_title: "Example 1"
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- - text: "Coronavirus quickly spread worldwide in 2020. The virus mostly affects elderly people. They can easily catch it."
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- example_title: "Example 2"
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- - text: "First, the manager evaluates the candidates. Afterwards, he notifies the candidates regarding the evaluation."
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- example_title: "Example 3"
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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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  - winograd_wsc
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  metrics:
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  - rouge
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+ widget:
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+ - text: Sam has a Parker pen. He loves writing with it.
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+ example_title: Example 1
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+ - text: Coronavirus quickly spread worldwide in 2020. The virus mostly affects elderly
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+ people. They can easily catch it.
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+ example_title: Example 2
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+ - text: First, the manager evaluates the candidates. Afterwards, he notifies the candidates
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+ regarding the evaluation.
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+ example_title: Example 3
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+ base_model: google/flan-t5-large
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  model-index:
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  - name: flan-t5-large-coref
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  results:
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  - task:
 
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  type: text2text-generation
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+ name: Sequence-to-sequence Language Modeling
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  dataset:
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  name: winograd_wsc
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  type: winograd_wsc
 
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  split: test
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  args: wsc285
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  metrics:
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+ - type: rouge
 
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  value: 0.9495
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+ name: Rouge1
 
 
 
 
 
 
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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