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--- |
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language: |
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- zh |
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license: apache-2.0 |
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tags: |
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- mt5-small |
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- text2text-generation |
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- dialog state tracking |
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- conversational system |
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- task-oriented dialog |
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datasets: |
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- ConvLab/crosswoz |
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metrics: |
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- Joint Goal Accuracy |
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- Slot F1 |
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model-index: |
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- name: mt5-small-dst-crosswoz |
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results: |
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- task: |
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type: text2text-generation |
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name: dialog state tracking |
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dataset: |
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type: ConvLab/crosswoz |
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name: CrossWOZ |
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split: test |
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revision: 4a3e56082543ed9eecb9c76ef5eadc1aa0cc5ca0 |
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metrics: |
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- type: Joint Goal Accuracy |
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value: 62.5 |
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name: JGA |
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- type: Slot F1 |
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value: 90.4 |
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name: Slot F1 |
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widget: |
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- 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。" |
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- 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。" |
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inference: |
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parameters: |
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max_length: 100 |
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--- |
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# mt5-small-dst-crosswoz |
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This model is a fine-tuned version of [mt5-small](https://huggingface.co/mt5-small) on [CrossWOZ](https://huggingface.co/datasets/ConvLab/crosswoz). |
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Refer to [ConvLab-3](https://github.com/ConvLab/ConvLab-3) for model description and usage. |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.001 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- optimizer: Adafactor |
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- lr_scheduler_type: linear |
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- num_epochs: 10.0 |
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### Framework versions |
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- Transformers 4.20.1 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |