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README.md
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model-index:
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- name: t5-base-DreamBank-Generation-Act-Char
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results: []
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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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## Model description
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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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## Training procedure
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- Transformers 4.25.1
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- Pytorch 1.12.1
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- Datasets 2.5.1
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- Tokenizers 0.12.1
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model-index:
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- name: t5-base-DreamBank-Generation-Act-Char
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results: []
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language:
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- en
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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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## Model description
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## Training procedure
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The model is trained end-to-end using a text2text solution to annotate dream reports following the Activity feature
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from the Hall and Van de Castle scoring framework. Given a report, the model generates texts of the form
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`[(initialiser : activity type : receiver)]`. For those cases where `initialiser` and `receiver` are the same
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entity, the output will follow the `[(initialiser : alone : none)]` setting.
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## Training procedure
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- Transformers 4.25.1
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- Pytorch 1.12.1
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- Datasets 2.5.1
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- Tokenizers 0.12.1
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