| --- |
| language: |
| - en |
| license: apache-2.0 |
| tags: |
| - t5-small |
| - text2text-generation |
| - dialog state tracking |
| - conversational system |
| - task-oriented dialog |
| datasets: |
| - ConvLab/multiwoz21 |
| metrics: |
| - Joint Goal Accuracy |
| - Slot F1 |
|
|
| model-index: |
| - name: t5-small-dst-multiwoz21 |
| results: |
| - task: |
| type: text2text-generation |
| name: dialog state tracking |
| dataset: |
| type: ConvLab/multiwoz21 |
| name: MultiWOZ 2.1 |
| split: test |
| revision: 5f55375edbfe0270c20bcf770751ad982c0e6614 |
| metrics: |
| - type: Joint Goal Accuracy |
| value: 52.6 |
| name: JGA |
| - type: Slot F1 |
| value: 91.9 |
| name: Slot F1 |
|
|
| widget: |
| - text: "user: I would like a taxi from Saint John's college to Pizza Hut Fen Ditton.\nsystem: What time do you want to leave and what time do you want to arrive by?\nuser: I want to leave after 17:15." |
| - text: "user: I want to find a moderately priced restaurant. \nsystem: I have many options available for you! Is there a certain area or cuisine that interests you?\nuser: Yes I would like the restaurant to be located in the center of the town." |
|
|
| inference: |
| parameters: |
| max_length: 100 |
|
|
| --- |
| |
| # t5-small-dst-multiwoz21 |
|
|
| 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). |
|
|
| 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: 2 |
| - total_train_batch_size: 128 |
| - optimizer: Adafactor |
| - lr_scheduler_type: linear |
| - num_epochs: 10.0 |
| |
| ### Framework versions |
| |
| - Transformers 4.20.1 |
| - Pytorch 1.11.0+cu113 |
| - Datasets 2.3.2 |
| - Tokenizers 0.12.1 |
| |
