Test
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Ggcall
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README.md
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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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example_title:
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example_title:
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example_title:
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example_title:
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example_title:
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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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---
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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/)
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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/)
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