readme: ---
  language:
  - en
  license: apache-2.0
  tags:
  - t5-small
  - text2text-generation
  - natural language understanding
  - conversational system
  - task-oriented dialog
  datasets:
  - ConvLab/tm3
  metrics:
  - Dialog acts Accuracy
  - Dialog acts F1
  
  model-index:
  - name: t5-small-nlu-tm3-context3
    results:
    - task:
        type: text2text-generation
        name: natural language understanding
      dataset:
        type: ConvLab/tm3
        name: Taskmaster-3
        split: test
        revision: 910584e5451e2e439bb2a07b8544ecb42ff8835b
      metrics:
        - type: Dialog acts Accuracy
          value: 89.0
          name: Accuracy
        - type: Dialog acts F1
          value: 85.1
          name: F1
  
  widget:
  - text: "system: OK. And where will you be seeing the movie?\nuser: In Creek's End, Oregon\nsystem: Creek’s End, Oregon. Got it. Is there a particular movie you have in mind?\nuser: Mulan, please. We are taking the kids"
  - text: "system: No problem. It looks like tonight’s remaining showtimes for Mulan at AMC Mercado 24 are 5:00pm, 7:10pm, and 9:45pm. Which is best for you?\nuser: I would like the earliest time, 5:00pm\nsystem: Great. And how many tickets?\nuser: three please"
  
  inference:
    parameters:
      max_length: 100
  
  ---
  
  # t5-small-nlu-tm3-context3
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on [Taskmaster-3](https://huggingface.co/datasets/ConvLab/tm3) 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
  