readme: ---
  language:
  - en
  license: apache-2.0
  tags:
  - t5-small
  - text2text-generation
  - natural language generation
  - conversational system
  - task-oriented dialog
  datasets:
  - ConvLab/sgd
  - ConvLab/tm1
  - ConvLab/tm2
  - ConvLab/tm3
  - ConvLab/multiwoz21
  metrics:
  - Slot Error Rate
  - sacrebleu
  
  model-index:
  - name: t5-small-nlg-multiwoz21_sgd_tm1_tm2_tm3
    results:
    - task:
        type: text2text-generation
        name: natural language generation
      dataset:
        type: ConvLab/multiwoz21
        name: MultiWOZ 2.1
        split: test
        revision: 5f55375edbfe0270c20bcf770751ad982c0e6614
      metrics:
        - type: Slot Error Rate
          value: 3.2
          name: SER
        - type: sacrebleu
          value: 35.6
          name: BLEU
    - task:
        type: text2text-generation
        name: natural language generation
      dataset:
        type: ConvLab/sgd
        name: SGD
        split: test
        revision: 6e8c79b888b21cc658cf9c0ce128d263241cf70f
      metrics:
        - type: Slot Error Rate
          value: 8.3
          name: SER
        - type: sacrebleu
          value: 29.9
          name: BLEU
    - task:
        type: text2text-generation
        name: natural language generation
      dataset:
        type: ConvLab/tm1, ConvLab/tm2, ConvLab/tm3
        name: TM1+TM2+TM3
        split: test
      metrics:
        - type: Slot Error Rate
          value: 2.0
          name: SER
        - type: sacrebleu
          value: 51.3
          name: BLEU
  
  widget:
  - text: "[inform][restaurant]([area][centre],[food][Indian],[choice][nine]);[request][restaurant]([price range][])\n\nsystem: "
    example_title: "MultiWOZ 2.1"
  - text: "sgd: [confirm][Restaurants_2]([number_of_seats][2],[restaurant_name][P.f. Chang's],[location][Corte Madera],[time][12 pm],[date][March 8th])\n\nsystem: "
    example_title: "Schema-Guided Dialog"
  - text: "tm1: [inform][pizza_ordering]([name.store][Domino's])\n\nsystem: "
    example_title: "Taskmaster-1"
  - text: "tm2: [inform][restaurant-search]([name.restaurant][Via 313, the Violet Crown Social Club],[price_range][$8 per slice])\n\nsystem: "
    example_title: "Taskmaster-2"
  - text: "tm3: [inform][movie]([name.movie][Star Wars],[name.movie][The Grudge])\n\nsystem: "
    example_title: "Taskmaster-3"
  
  inference:
    parameters:
      max_length: 100
  
  ---
  
  # t5-small-nlg-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: 64
  - eval_batch_size: 64
  - seed: 42
  - gradient_accumulation_steps: 8
  - total_train_batch_size: 512
  - 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
  