| --- |
| 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 |
