Update README.md

README.md

@@ -1,29 +1,55 @@
 ---
+language:
+- en
+license: apache-2.0
 tags:
-- generated_from_trainer
-model-index:
-- name: context_100
-  results: []
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
+- t5-small
+- text2text-generation
+- dialog state tracking
+- conversational system
+- task-oriented dialog
+datasets:
+- ConvLab/tm1
+- ConvLab/tm2
+- ConvLab/tm3
+metrics:
+- Joint Goal Accuracy
+- Slot F1
 
-# context_100
-
-This model is a fine-tuned version of [output/dst/tm1+tm2+tm3/user/context_100](https://huggingface.co/output/dst/tm1+tm2+tm3/user/context_100) on an unknown dataset.
+model-index:
+- name: t5-small-dst-tm1_tm2_tm3
+  results:
+  - task:
+      type: text2text-generation
+      name: dialog state tracking
+    dataset:
+      type: ConvLab/tm1, ConvLab/tm2, ConvLab/tm3
+      name: TM1+TM2+TM3
+      split: test
+    metrics:
+      - type: Joint Goal Accuracy
+        value: 48.5
+        name: JGA
+      - type: Slot F1
+        value: 81.1
+        name: Slot F1
 
-## Model description
+widget:
+- text: "tm1: user: Hi there, could you please help me with an order of Pizza?\nsystem: Sure, where would you like to order you pizza from?\nuser: I would like to order a pizza from Domino's."
+- text: "tm2: user: I need help finding a hotel in New Orleans.\nsystem: Okay.\nuser: I need something that's around $300 a night and it's a five star rating."
+- text: "tm3: user: Hi, I'm hoping to see a movie tonight.\nsystem: Great, I can assist with that. What genre of film do you prefer.\nuser: I usually like comedies."
 
-More information needed
+inference:
+  parameters:
+    max_length: 100
 
-## Intended uses & limitations
+---
 
-More information needed
+# t5-small-dst-tm1_tm2_tm3
 
-## Training and evaluation data
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on [Taskmaster-1](https://huggingface.co/datasets/ConvLab/tm1), [Taskmaster-2](https://huggingface.co/datasets/ConvLab/tm2), and [Taskmaster-3](https://huggingface.co/datasets/ConvLab/tm3).
 
-More information needed
+Refer to [ConvLab-3](https://github.com/ConvLab/ConvLab-3) for model description and usage.
 
 ## Training procedure
 
@@ -42,7 +68,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.18.0
-- Pytorch 1.10.2+cu102
-- Datasets 1.18.3
-- Tokenizers 0.11.0
+- Transformers 4.20.1
+- Pytorch 1.11.0+cu113
+- Datasets 2.3.2
+- Tokenizers 0.12.1