Librarian Bot: Add base_model information to model

README.md

@@ -13,7 +13,20 @@ datasets:
 metrics:
 - Slot Error Rate
 - sacrebleu
+widget:
+- text: '[request][taxi]([leave at][],[arrive by][])
+
+
+    system: '
+- text: '[inform][restaurant]([area][centre],[food][Indian],[choice][nine]);[request][restaurant]([price
+    range][])
+
 
+    system: '
+inference:
+  parameters:
+    max_length: 100
+base_model: t5-small
 model-index:
 - name: t5-small-nlg-multiwoz21
   results:
@@ -21,26 +34,17 @@ model-index:
       type: text2text-generation
       name: natural language generation
     dataset:
-      type: ConvLab/multiwoz21
       name: MultiWOZ 2.1
+      type: ConvLab/multiwoz21
       split: test
       revision: 5f55375edbfe0270c20bcf770751ad982c0e6614
     metrics:
-      - type: Slot Error Rate
-        value: 3.7
-        name: SER
-      - type: sacrebleu
-        value: 35.8
-        name: BLEU
-
-widget:
-- text: "[request][taxi]([leave at][],[arrive by][])\n\nsystem: "
-- text: "[inform][restaurant]([area][centre],[food][Indian],[choice][nine]);[request][restaurant]([price range][])\n\nsystem: "
-
-inference:
-  parameters:
-    max_length: 100
-
+    - type: Slot Error Rate
+      value: 3.7
+      name: SER
+    - type: sacrebleu
+      value: 35.8
+      name: BLEU
 ---
 
 # t5-small-nlg-multiwoz21