readme: ---
  language:
  - en
  license: apache-2.0
  tags:
  - t5-small
  - text2text-generation
  - natural language understanding
  - conversational system
  - task-oriented dialog
  datasets:
  - ConvLab/multiwoz21
  - ConvLab/sgd
  - ConvLab/tm1
  - ConvLab/tm2
  - ConvLab/tm3
  metrics:
  - Slot Error Rate
  - sacrebleu
  
  model-index:
  - name: t5-small-nlu-multiwoz21_sgd_tm1_tm2_tm3
    results:
    - task:
        type: text2text-generation
        name: natural language understanding
      dataset:
        type: ConvLab/multiwoz21
        name: MultiWOZ 2.1
        split: test
        revision: 5f55375edbfe0270c20bcf770751ad982c0e6614
      metrics:
        - type: Dialog acts Accuracy
          value: 77.5
          name: Accuracy
        - type: Dialog acts F1
          value: 86.4
          name: F1
    - task:
        type: text2text-generation
        name: natural language understanding
      dataset:
        type: ConvLab/sgd
        name: SGD
        split: test
        revision: 6e8c79b888b21cc658cf9c0ce128d263241cf70f
      metrics:
        - type: Dialog acts Accuracy
          value: 45.2
          name: Accuracy
        - type: Dialog acts F1
          value: 58.6
          name: F1
    - task:
        type: text2text-generation
        name: natural language understanding
      dataset:
        type: ConvLab/tm1, ConvLab/tm2, ConvLab/tm3
        name: TM1+TM2+TM3
        split: test
      metrics:
        - type: Dialog acts Accuracy
          value: 81.8
          name: Accuracy
        - type: Dialog acts F1
          value: 73.0
          name: F1
  
  widget:
  - text: "multiwoz21: user: I would like a taxi from Saint John's college to Pizza Hut Fen Ditton."
    example_title: "MultiWOZ 2.1"
  - text: "sgd: user: Could you get me a reservation at P.f. Chang's in Corte Madera at afternoon 12?"
    example_title: "Schema-Guided Dialog"
  - text: "tm1: user: I would like to order a pizza from Domino's."
    example_title: "Taskmaster-1"
  - text: "tm2: user: I would like help getting a flight from LA to Amsterdam."
    example_title: "Taskmaster-2"
  - text: "tm3: user: Well, I need a kids friendly movie. I was thinking about seeing Mulan."
    example_title: "Taskmaster-3"
  
  inference:
    parameters:
      max_length: 100
  
  ---
  
  # t5-small-nlu-multiwoz21_sgd_tm1_tm2_tm3
  
  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).
  
  Refer to [ConvLab-3](https://github.com/ConvLab/ConvLab-3) for model description and usage.
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 0.001
  - train_batch_size: 128
  - eval_batch_size: 64
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 256
  - optimizer: Adafactor
  - lr_scheduler_type: linear
  - num_epochs: 10.0
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.2+cu102
  - Datasets 1.18.3
  - Tokenizers 0.11.0
  