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ConvLab
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t5-small-nlu-tm1_tm2_tm3

Text2Text Generation
Transformers
PyTorch
English
t5
t5-small
natural language understanding
conversational system
task-oriented dialog
text-generation-inference
Inference Endpoints
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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/nlu/tm1+tm2+tm3/user/context_0](https://huggingface.co/output/nlu/tm1+tm2+tm3/user/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 understanding
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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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+ - Dialog acts Accuracy
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+ - Dialog acts F1
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+ model-index:
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+ - name: t5-small-nlu-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 understanding
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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: Dialog acts Accuracy
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+ value: 81.8
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+ name: Accuracy
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+ - type: Dialog acts F1
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+ value: 73.0
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+ name: F1
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+ widget:
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+ - text: "tm1: user: I would like to order a pizza from Domino's."
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+ - text: "tm2: user: I would like help getting a flight from LA to Amsterdam."
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+ - text: "tm3: user: Well, I need a kids friendly movie. I was thinking about seeing Mulan."
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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-nlu-tm1_tm2_tm3
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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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