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---
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tags:
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## Training procedure
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### Framework versions
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- Transformers 4.
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- Pytorch 1.
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- Datasets
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- Tokenizers 0.
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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
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