| language: | |
| - en | |
| license: apache-2.0 | |
| tags: | |
| - t5-small | |
| - text2text-generation | |
| - dialog state tracking | |
| - conversational system | |
| - task-oriented dialog | |
| datasets: | |
| - ConvLab/sgd | |
| metrics: | |
| - Joint Goal Accuracy | |
| - Slot F1 | |
| widget: | |
| - text: 'user: Hi, could you get me a restaurant booking on the 8th please? | |
| system: Any preference on the restaurant, location and time? | |
| user: Could you get me a reservation at P.f. Chang''s in Corte Madera at afternoon | |
| 12?' | |
| - text: 'user: I need to book a dinner reservation for a date. Help me reserve a table | |
| at a restaurant. | |
| system: What time and location do you have in mind? | |
| user: Something around 8 in the night should be fine. Oh, and look in the San | |
| Jose area.' | |
| inference: | |
| parameters: | |
| max_length: 100 | |
| base_model: t5-small | |
| model-index: | |
| - name: t5-small-dst-sgd | |
| results: | |
| - task: | |
| type: text2text-generation | |
| name: dialog state tracking | |
| dataset: | |
| name: SGD | |
| type: ConvLab/sgd | |
| split: test | |
| revision: 6e8c79b888b21cc658cf9c0ce128d263241cf70f | |
| metrics: | |
| - type: Joint Goal Accuracy | |
| value: 20.1 | |
| name: JGA | |
| - type: Slot F1 | |
| value: 58.5 | |
| name: Slot F1 | |
| # t5-small-dst-sgd | |
| This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on [Schema-Guided Dialog](https://huggingface.co/datasets/ConvLab/sgd). | |
| 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 | |