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 | |