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 | |