readme: ---
  language:
  - en
  license: apache-2.0
  tags:
  - t5-small
  - text2text-generation
  - natural language understanding
  - conversational system
  - task-oriented dialog
  datasets:
  - ConvLab/tm1
  metrics:
  - Dialog acts Accuracy
  - Dialog acts F1
  
  model-index:
  - name: t5-small-nlu-tm1-context3
    results:
    - task:
        type: text2text-generation
        name: natural language understanding
      dataset:
        type: ConvLab/tm1
        name: Taskmaster-1
        split: test
        revision: 187bd9f5e786d80f64b3d372386e330ae36d8488
      metrics:
        - type: Dialog acts Accuracy
          value: 76.2
          name: Accuracy
        - type: Dialog acts F1
          value: 56.2
          name: F1
  
  widget:
  - text: "user: Hi there, could you please help me with an order of Pizza?\nsystem: Sure, where would you like to order you pizza from?\nuser: I would like to order a pizza from Domino's."
  - text: "system: What kind of pizza are do you want to order?\nuser: I want to order a large pizza with chicken and pepperoni please.\nsystem: From which Domino's location would you like to order?\nuser: I would like to order from the Domino's closest to my house."
  
  inference:
    parameters:
      max_length: 100
  
  ---
  
  # t5-small-nlu-tm1-context3
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on [Taskmaster-1](https://huggingface.co/datasets/ConvLab/tm1) with context window size == 3.
  
  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
  