|
--- |
|
language: |
|
- zh |
|
license: apache-2.0 |
|
tags: |
|
- mt5-small |
|
- text2text-generation |
|
- dialog state tracking |
|
- conversational system |
|
- task-oriented dialog |
|
datasets: |
|
- ConvLab/crosswoz |
|
metrics: |
|
- Joint Goal Accuracy |
|
- Slot F1 |
|
|
|
model-index: |
|
- name: mt5-small-dst-crosswoz |
|
results: |
|
- task: |
|
type: text2text-generation |
|
name: dialog state tracking |
|
dataset: |
|
type: ConvLab/crosswoz |
|
name: CrossWOZ |
|
split: test |
|
revision: 4a3e56082543ed9eecb9c76ef5eadc1aa0cc5ca0 |
|
metrics: |
|
- type: Joint Goal Accuracy |
|
value: 62.5 |
|
name: JGA |
|
- type: Slot F1 |
|
value: 90.4 |
|
name: Slot F1 |
|
|
|
widget: |
|
- text: "user: 你好，给我推荐一个评分是5分，价格在100-200元的酒店。\nsystem: 推荐您去北京布提克精品酒店。\nuser: 北京布提克精品酒店酒店是什么类型，有健身房吗？\nsystem: 北京布提克精品酒店评分是4.8分，是高档型酒店，没有健身房。\nuser: 给我推荐一个评分在4.5分以上，游玩时间在2小时 - 3小时的免费景点。" |
|
- text: "user: 您好，请帮我推荐个4.5分以上的景点游玩呗，最好把周边有什么酒店告诉我一下。\nsystem: 那我推荐您故宫，周边的酒店有北京天伦王朝酒店, 北京首都宾馆, 北京贵都大酒店。\nuser: 那请在故宫周边的酒店里，帮我找个评分在4.5分以上的店。\nsystem: 北京贵都大酒店符合您的要求。\nuser: 请帮我呼叫一辆从故宫到北京贵都大酒店的出租车，告诉我车型和车牌号。" |
|
|
|
inference: |
|
parameters: |
|
max_length: 100 |
|
|
|
--- |
|
|
|
# mt5-small-dst-crosswoz |
|
|
|
This model is a fine-tuned version of [mt5-small](https://huggingface.co./mt5-small) on [CrossWOZ](https://huggingface.co./datasets/ConvLab/crosswoz). |
|
|
|
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: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 64 |
|
- 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 |
