Create README.md

README.md

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+---
+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