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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_0
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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_0
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-
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- This model is a fine-tuned version of [output/nlg/tm1+tm2+tm3/system/context_0](https://huggingface.co/output/nlg/tm1+tm2+tm3/system/context_0) 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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  ---
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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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