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tags:
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## Training procedure
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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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- natural language generation
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- conversational system
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- task-oriented dialog
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datasets:
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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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- Slot Error Rate
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- sacrebleu
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model-index:
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- name: t5-small-nlg-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: natural language generation
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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: Slot Error Rate
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value: 2.1
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name: SER
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- type: sacrebleu
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value: 51.5
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name: BLEU
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widget:
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- text: "tm1: [inform][pizza_ordering]([name.store][Domino's])\n\nsystem: "
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- text: "tm2: [inform][restaurant-search]([name.restaurant][Via 313, the Violet Crown Social Club],[price_range][$8 per slice])\n\nsystem: "
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- text: "tm3: [inform][movie]([name.movie][Star Wars],[name.movie][The Grudge])\n\nsystem: "
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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-nlg-sgd
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on [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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