| --- |
| language: |
| - en |
| license: apache-2.0 |
| tags: |
| - roberta |
| - classification |
| - dialog state tracking |
| - conversational system |
| - task-oriented dialog |
| datasets: |
| - ConvLab/multiwoz21 |
| metrics: |
| - Joint Goal Accuracy |
| - Slot F1 |
|
|
| model-index: |
| - name: setsumbt-dst-multiwoz21 |
| results: |
| - task: |
| type: classification |
| name: dialog state tracking |
| dataset: |
| type: ConvLab/multiwoz21 |
| name: MultiWOZ21 |
| split: test |
| metrics: |
| - type: Joint Goal Accuracy |
| value: 50.3 |
| name: JGA |
| - type: Slot F1 |
| value: 90.8 |
| name: Slot F1 |
|
|
| --- |
| |
| # SetSUMBT-dst-multiwoz21 |
|
|
| 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). |
|
|
| 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: 0.00001 |
| - train_batch_size: 3 |
| - eval_batch_size: 16 |
| - seed: 0 |
| - gradient_accumulation_steps: 1 |
| - optimizer: AdamW |
| - lr_scheduler_type: linear |
| - num_epochs: 50.0 |
|
|
| ### Framework versions |
|
|
| - Transformers 4.17.0 |
| - Pytorch 1.8.0+cu110 |
| - Datasets 2.3.2 |
| - Tokenizers 0.12.1 |
|
|
