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@@ -7,6 +7,8 @@ metrics:
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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
@@ -24,15 +26,12 @@ 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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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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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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@@ -69,4 +68,4 @@ The following hyperparameters were used during training:
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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