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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_keras_callback |
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pipeline_tag: text2text-generation |
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widget: |
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- text: 'Answer the question based on the context. |
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Context: The Review of Politics was founded in 1939 by Gurian, modeled after German |
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Catholic journals. It quickly emerged as part of an international Catholic intellectual |
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revival, offering an alternative vision to positivist philosophy. For 44 years, |
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the Review was edited by Gurian, Matthew Fitzsimons, Frederick Crosson, and Thomas |
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Stritch. Intellectual leaders included Gurian, Jacques Maritain, Frank O''Malley, |
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Leo Richard Ward, F. A. Hermens, and John U. Nef. It became a major forum for |
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political ideas and modern political concerns, especially from a Catholic and |
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scholastic tradition. |
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Question: Who was the last editor of the Review of Political Science?' |
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example_title: Question Answering |
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- text: 'Generate a question based on the context and the answer. |
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Context: The Review of Politics was founded in 1939 by Gurian, modeled after German |
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Catholic journals. It quickly emerged as part of an international Catholic intellectual |
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revival, offering an alternative vision to positivist philosophy. For 44 years, |
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the Review was edited by Gurian, Matthew Fitzsimons, Frederick Crosson, and Thomas |
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Stritch. Intellectual leaders included Gurian, Jacques Maritain, Frank O''Malley, |
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Leo Richard Ward, F. A. Hermens, and John U. Nef. It became a major forum for |
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political ideas and modern political concerns, especially from a Catholic and |
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scholastic tradition. |
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Answer: Thomas Stritch' |
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example_title: Question Generation |
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- text: 'Classify the complexity of the following question based on the text as either |
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deep or shallow. |
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Text: Many people who live in California are very concerned about the earth. They |
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are worried that the earth is warming too much. |
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Question: How can people in California and outside of California prevent warming?' |
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example_title: Question Complexity |
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- text: 'Classify the complexity of the following question based on the text as either |
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deep or shallow. |
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Text: Many people who live in California are very concerned about the earth. They |
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are worried that the earth is warming too much. |
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Question: What does it mean to warm the earth too much?' |
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example_title: Question Category |
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base_model: google/flan-t5-xl |
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model-index: |
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- name: QAll-Flan-xl |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# QAll-Flan-xl |
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This model is a fine-tuned version of [google/flan-t5-xl](https://huggingface.co/google/flan-t5-xl) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- optimizer: None |
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- training_precision: float32 |
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### Training results |
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### Framework versions |
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- Transformers 4.25.1 |
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- TensorFlow 2.11.0 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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