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@@ -7,32 +7,24 @@ 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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-
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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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  should probably proofread and complete it, then remove this comment. -->
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  # t5-base-DreamBank-Generation-Act-Char
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- This model is a fine-tuned version of [DReAMy-lib/t5-base-DreamBank-Generation-NER-Char](https://huggingface.co/DReAMy-lib/t5-base-DreamBank-Generation-NER-Char) on the None dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.2627
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- - Rouge1: 0.4751
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- - Rouge2: 0.3939
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- - Rougel: 0.4564
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- - Rougelsum: 0.4549
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-
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- ## Model description
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-
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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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- ## Training and evaluation data
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- More information needed
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  ## Training procedure
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@@ -69,4 +61,4 @@ 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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+ widget:
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+ - text: >-
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+ My girlfriend and I were sitting on a couch in her house. Suddenly my girl
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+ pulled a gun from my pocket and handed it to me. She begged me to shoot her.
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+ I was mortified. I ran to the door but she ran after me. I knew that her
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+ only wish was for me to shoot her. I pulled the trigger and then I began to
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+ laugh.
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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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  should probably proofread and complete it, then remove this comment. -->
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  # t5-base-DreamBank-Generation-Act-Char
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+ This model is a fine-tuned version of [DReAMy-lib/t5-base-DreamBank-Generation-NER-Char](https://huggingface.co/DReAMy-lib/t5-base-DreamBank-Generation-NER-Char) on the DreamBank dataset.
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+ The uploaded model contains the weights of the best-performing model (see table below), tune to annotate a given
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+ dream report according to [Hall and Van de Castle the Activity feature](https://dreams.ucsc.edu/Coding/activities.html)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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