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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/sgd+tm1+tm2+tm3+multiwoz21/user/context_100](https://huggingface.co/output/dst/sgd+tm1+tm2+tm3+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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@@ -42,7 +107,7 @@ The following hyperparameters were used during training:
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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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+ - ConvLab/sgd
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+ - ConvLab/tm1
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+ - ConvLab/tm2
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+ - ConvLab/tm3
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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_sgd_tm1_tm2_tm3
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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: 53.1
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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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+ - 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/sgd
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+ name: SGD
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+ split: test
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+ revision: 6e8c79b888b21cc658cf9c0ce128d263241cf70f
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+ metrics:
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+ - type: Joint Goal Accuracy
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+ value: 20.6
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+ name: JGA
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+ - type: Slot F1
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+ value: 60.0
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+ name: Slot F1
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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/tm1, ConvLab/tm2, ConvLab/tm3
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+ name: TM1+TM2+TM3
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+ split: test
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+ metrics:
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+ - type: Joint Goal Accuracy
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+ value: 48.6
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+ name: JGA
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+ - type: Slot F1
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+ value: 81.0
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+ name: Slot F1
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+ widget:
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+ - text: "multiwoz21: 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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+ example_title: "MultiWOZ 2.1"
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+ - text: "sgd: user: Hi, could you get me a restaurant booking on the 8th please?\nsystem: Any preference on the restaurant, location and time?\nuser: Could you get me a reservation at P.f. Chang's in Corte Madera at afternoon 12?"
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+ example_title: "Schema-Guided Dialog"
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+ - text: "tm1: user: Hi there, could you please help me with an order of Pizza?\nsystem: Sure, where would you like to order you pizza from?\nuser: I would like to order a pizza from Domino's."
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+ example_title: "Taskmaster-1"
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+ - text: "tm2: user: I need help finding a hotel in New Orleans.\nsystem: Okay.\nuser: I need something that's around $300 a night and it's a five star rating."
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+ example_title: "Taskmaster-2"
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+ - text: "tm3: user: Hi, I'm hoping to see a movie tonight.\nsystem: Great, I can assist with that. What genre of film do you prefer.\nuser: I usually like comedies."
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+ example_title: "Taskmaster-3"
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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_sgd_tm1_tm2_tm3
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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), [Schema-Guided Dialog](https://huggingface.co/datasets/ConvLab/sgd), [Taskmaster-1](https://huggingface.co/datasets/ConvLab/tm1), [Taskmaster-2](https://huggingface.co/datasets/ConvLab/tm2), and [Taskmaster-3](https://huggingface.co/datasets/ConvLab/tm3).
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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