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README.md
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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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---
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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
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