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  1. README.md +36 -25
README.md CHANGED
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  ---
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- language:
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  - en
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  - fr
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  - ro
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  - de
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  - multilingual
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-
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  tags:
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  - text2text-generation
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-
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  widget:
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- - text: "Translate to German: My name is Arthur"
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- example_title: "Translation"
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- - text: "Please answer to the following question. Who is going to be the next Ballon d'or?"
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- example_title: "Question Answering"
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- - text: "Q: Can Geoffrey Hinton have a conversation with George Washington? Give the rationale before answering."
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- example_title: "Logical reasoning"
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- - text: "Please answer the following question. What is the boiling point of Nitrogen?"
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- example_title: "Scientific knowledge"
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- - text: "Answer the following yes/no question. Can you write a whole Haiku in a single tweet?"
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- example_title: "Yes/no question"
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- - text: "Answer the following yes/no question by reasoning step-by-step. Can you write a whole Haiku in a single tweet?"
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- example_title: "Reasoning task"
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- - text: "Q: ( False or not False or False ) is? A: Let's think step by step"
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- example_title: "Boolean Expressions"
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- - text: "The square root of x is the cube root of y. What is y to the power of 2, if x = 4?"
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- example_title: "Math reasoning"
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- - text: "Premise: At my age you will probably have learnt one lesson. Hypothesis: It's not certain how many lessons you'll learn by your thirties. Does the premise entail the hypothesis?"
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- example_title: "Premise and hypothesis"
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-
 
 
 
 
 
 
 
 
 
 
 
 
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  datasets:
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  - svakulenk0/qrecc
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  - taskmaster2
@@ -40,9 +50,10 @@ datasets:
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  - esnli
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  - quasc
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  - qed
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-
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-
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  license: apache-2.0
 
 
 
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  ---
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  # Model Card for FLAN-T5 base
@@ -286,4 +297,4 @@ Results:
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  | 86.2188 | 89.6667 | 67.12 | 51.9688 | 82.3242 | 78.5714 | 80.1534 | 75 | 77.6667 | 90.9507 | 85.4 | 93.324 | 72.425 | 87.2457 | 89.4608 | 62.3762 | 82.6923 | 92.7878 | 89.7724 | 89.0244 | 84.8375 | 94.3807 | 57.2851 | 89.4759 | 97.2 | 92.8 | 46.848 | 80.2252 | 54.9832 | 76.6582 | 84.3023 | 70.6366 | 70.0627 | 56.338 | 53.8462 | 73.4 |
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- For more information, see: [Model Recycling](https://ibm.github.io/model-recycling/)
 
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  ---
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+ language:
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  - en
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  - fr
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  - ro
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  - de
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  - multilingual
 
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  tags:
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  - text2text-generation
 
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  widget:
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+ - text: 'Translate to German: My name is Arthur'
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+ example_title: Translation
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+ - text: >-
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+ Please answer to the following question. Who is going to be the next Ballon
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+ d'or?
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+ example_title: Question Answering
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+ - text: >-
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+ Q: Can Geoffrey Hinton have a conversation with George Washington? Give the
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+ rationale before answering.
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+ example_title: Logical reasoning
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+ - text: Please answer the following question. What is the boiling point of Nitrogen?
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+ example_title: Scientific knowledge
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+ - text: >-
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+ Answer the following yes/no question. Can you write a whole Haiku in a
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+ single tweet?
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+ example_title: Yes/no question
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+ - text: >-
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+ Answer the following yes/no question by reasoning step-by-step. Can you
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+ write a whole Haiku in a single tweet?
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+ example_title: Reasoning task
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+ - text: 'Q: ( False or not False or False ) is? A: Let''s think step by step'
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+ example_title: Boolean Expressions
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+ - text: >-
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+ The square root of x is the cube root of y. What is y to the power of 2, if
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+ x = 4?
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+ example_title: Math reasoning
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+ - text: >-
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+ Premise: At my age you will probably have learnt one lesson. Hypothesis:
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+ It's not certain how many lessons you'll learn by your thirties. Does the
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+ premise entail the hypothesis?
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+ example_title: Premise and hypothesis
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  datasets:
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  - svakulenk0/qrecc
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  - taskmaster2
 
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  - esnli
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  - quasc
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  - qed
 
 
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  license: apache-2.0
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+ metrics:
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+ - accuracy
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+ library_name: bertopic
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  ---
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  # Model Card for FLAN-T5 base
 
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  | 86.2188 | 89.6667 | 67.12 | 51.9688 | 82.3242 | 78.5714 | 80.1534 | 75 | 77.6667 | 90.9507 | 85.4 | 93.324 | 72.425 | 87.2457 | 89.4608 | 62.3762 | 82.6923 | 92.7878 | 89.7724 | 89.0244 | 84.8375 | 94.3807 | 57.2851 | 89.4759 | 97.2 | 92.8 | 46.848 | 80.2252 | 54.9832 | 76.6582 | 84.3023 | 70.6366 | 70.0627 | 56.338 | 53.8462 | 73.4 |
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+ For more information, see: [Model Recycling](https://ibm.github.io/model-recycling/)