| 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 | |
| widget: | |
| - text: 'user: I would like a taxi from Saint John''s college to Pizza Hut Fen Ditton. | |
| system: What time do you want to leave and what time do you want to arrive by? | |
| user: 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 | |
| base_model: t5-small | |
| model-index: | |
| - name: t5-small-dst-multiwoz21 | |
| results: | |
| - task: | |
| type: text2text-generation | |
| name: dialog state tracking | |
| dataset: | |
| name: MultiWOZ 2.1 | |
| type: ConvLab/multiwoz21 | |
| split: test | |
| revision: 5f55375edbfe0270c20bcf770751ad982c0e6614 | |
| metrics: | |
| - type: Joint Goal Accuracy | |
| value: 52.6 | |
| name: JGA | |
| - type: Slot F1 | |
| value: 91.9 | |
| name: Slot F1 | |
| # 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 | |