Update README.md

README.md

@@ -1,29 +1,55 @@
 ---
+language:
+- en
+license: apache-2.0
 tags:
-- generated_from_trainer
-model-index:
-- name: context_0
-  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
+- natural language understanding
+- conversational system
+- task-oriented dialog
+datasets:
+- ConvLab/tm1
+- ConvLab/tm2
+- ConvLab/tm3
+metrics:
+- Dialog acts Accuracy
+- Dialog acts F1
 
-# context_0
-
-This model is a fine-tuned version of [output/nlu/tm1+tm2+tm3/user/context_0](https://huggingface.co/output/nlu/tm1+tm2+tm3/user/context_0) on an unknown dataset.
+model-index:
+- name: t5-small-nlu-tm1_tm2_tm3
+  results:
+  - task:
+      type: text2text-generation
+      name: natural language understanding
+    dataset:
+      type: ConvLab/tm1, ConvLab/tm2, ConvLab/tm3
+      name: TM1+TM2+TM3
+      split: test
+    metrics:
+      - type: Dialog acts Accuracy
+        value: 81.8
+        name: Accuracy
+      - type: Dialog acts F1
+        value: 73.0
+        name: F1
 
-## Model description
+widget:
+- text: "tm1: user: I would like to order a pizza from Domino's."
+- text: "tm2: user: I would like help getting a flight from LA to Amsterdam."
+- text: "tm3: user: Well, I need a kids friendly movie. I was thinking about seeing Mulan."
 
-More information needed
+inference:
+  parameters:
+    max_length: 100
 
-## Intended uses & limitations
+---
 
-More information needed
+# t5-small-nlu-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