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  ---
 
 
 
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  tags:
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- - generated_from_trainer
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- model-index:
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- - name: context_100
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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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- # context_100
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-
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- This model is a fine-tuned version of [output/dst/multiwoz21/user/context_100](https://huggingface.co/output/dst/multiwoz21/user/context_100) on an unknown dataset.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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  ### Framework versions
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- - Transformers 4.18.0
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- - Pytorch 1.10.2+cu102
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- - Datasets 1.18.3
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- - Tokenizers 0.11.0
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  ---
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+ language:
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+ - en
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+ license: apache-2.0
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  tags:
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+ - t5-small
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+ - text2text-generation
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+ - dialog state tracking
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+ - conversational system
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+ - task-oriented dialog
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+ datasets:
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+ - ConvLab/multiwoz21
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+ metrics:
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+ - Joint Goal Accuracy
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+ - Slot F1
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+ model-index:
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+ - name: t5-small-dst-multiwoz21
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+ results:
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+ - task:
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+ type: text2text-generation
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+ name: dialog state tracking
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+ dataset:
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+ type: ConvLab/multiwoz21
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+ name: MultiWOZ 2.1
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+ split: test
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+ revision: 5f55375edbfe0270c20bcf770751ad982c0e6614
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+ metrics:
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+ - type: Joint Goal Accuracy
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+ value: 52.6
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+ name: JGA
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+ - type: Slot F1
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+ value: 91.9
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+ name: Slot F1
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+ widget:
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+ - text: "user: I would like a taxi from Saint John's college to Pizza Hut Fen Ditton.\nsystem: What time do you want to leave and what time do you want to arrive by?\nuser: I want to leave after 17:15."
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+ - text: "user: I want to find a moderately priced restaurant. \nsystem: I have many options available for you! Is there a certain area or cuisine that interests you?\nuser: Yes I would like the restaurant to be located in the center of the town."
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+ inference:
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+ parameters:
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+ max_length: 100
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+ ---
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+ # t5-small-dst-multiwoz21
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+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on [MultiWOZ 2.1](https://huggingface.co/datasets/ConvLab/multiwoz21).
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+ Refer to [ConvLab-3](https://github.com/ConvLab/ConvLab-3) for model description and usage.
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  ## Training procedure
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  ### Framework versions
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+ - Transformers 4.20.1
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+ - Pytorch 1.11.0+cu113
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+ - Datasets 2.3.2
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+ - Tokenizers 0.12.1