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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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- roberta |
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- classification |
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- dialog state tracking |
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- natural language understanding |
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- uncertainty |
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- conversational system |
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- task-oriented dialog |
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datasets: |
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- ConvLab/multiwoz21 |
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metrics: |
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- Joint Goal Accuracy |
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- Slot F1 |
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- Joint Goal Expected Calibration Error |
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model-index: |
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- name: setsumbt-dst-nlu-multiwoz21 |
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results: |
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- task: |
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type: classification |
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name: dialog state tracking |
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dataset: |
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type: ConvLab/multiwoz21 |
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name: MultiWOZ21 |
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split: test |
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metrics: |
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- type: Joint Goal Accuracy |
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value: 51.8 |
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name: JGA |
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- type: Slot F1 |
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value: 91.1 |
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name: Slot F1 |
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- type: Joint Goal Expected Calibration Error |
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value: 12.7 |
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name: JECE |
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--- |
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# SetSUMBT-dst-nlu-multiwoz21 |
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This model is a fine-tuned version [SetSUMBT](https://github.com/ConvLab/ConvLab-3/tree/master/convlab/dst/setsumbt) of [roberta-base](https://huggingface.co/roberta-base) on [MultiWOZ2.1](https://huggingface.co/datasets/ConvLab/multiwoz21). |
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This model is a combined DST and NLU model and is a distribution distilled version of a ensemble of 5 models. This model should be used to produce uncertainty estimates for the dialogue belief state. |
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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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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.00001 |
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- train_batch_size: 3 |
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- eval_batch_size: 16 |
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- seed: 0 |
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- gradient_accumulation_steps: 1 |
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- optimizer: AdamW |
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- loss: Ensemble Distribution Distillation Loss |
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- lr_scheduler_type: linear |
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- num_epochs: 50.0 |
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### Framework versions |
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- Transformers 4.17.0 |
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- Pytorch 1.8.0+cu110 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |
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