model update

README.md

@@ -14,11 +14,11 @@ pipeline_tag: text2text-generation
 tags:
 - question generation
 widget:
-- text: "<hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records."
+- text: "generate question: <hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records."
   example_title: "Question Generation Example 1" 
-- text: "Beyonce further expanded her acting career, starring as blues singer <hl> Etta James <hl> in the 2008 musical biopic, Cadillac Records."
+- text: "generate question: Beyonce further expanded her acting career, starring as blues singer <hl> Etta James <hl> in the 2008 musical biopic, Cadillac Records."
   example_title: "Question Generation Example 2" 
-- text: "Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic,  <hl> Cadillac Records  <hl> ."
+- text: "generate question: Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic,  <hl> Cadillac Records <hl> ."
   example_title: "Question Generation Example 3" 
 model-index:
 - name: lmqg/bart-large-squad-no-paragraph
@@ -33,19 +33,19 @@ model-index:
     metrics:
     - name: BLEU4
       type: bleu4
-      value: 0.236757015891728
+      value: 0.2386146591654172
     - name: ROUGE-L
       type: rouge-l
-      value: 0.5129502643237112
+      value: 0.5142752621919274
     - name: METEOR
       type: meteor
-      value: 0.2501352511924703
+      value: 0.2518149650657295
     - name: BERTScore
       type: bertscore
-      value: 0.906402032461714
+      value: 0.9070136092258231
     - name: MoverScore
       type: moverscore
-      value: 0.6397762351274248
+      value: 0.6384645408685703
 ---
 
 # Language Models Fine-tuning on Question Generation: `lmqg/bart-large-squad-no-paragraph`
@@ -70,7 +70,7 @@ model_path = 'lmqg/bart-large-squad-no-paragraph'
 pipe = pipeline("text2text-generation", model_path)
 
 # Question Generation
-input_text = '<hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records.'
+input_text = 'generate question: <hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records.'
 question = pipe(input_text)
 ```
 
@@ -81,7 +81,7 @@ question = pipe(input_text)
 
 | Dataset | Type | BLEU4 | ROUGE-L | METEOR | BERTScore | MoverScore | Link |
 |:--------|:-----|------:|--------:|-------:|----------:|-----------:|-----:|
-| [lmqg/qg_squad](https://huggingface.co/datasets/lmqg/qg_squad) | default | 0.236757015891728 | 0.5129502643237112 | 0.2501352511924703 | 0.906402032461714 | 0.6397762351274248 | [link](https://huggingface.co/lmqg/bart-large-squad-no-paragraph/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_squad.default.json) | 
+| [lmqg/qg_squad](https://huggingface.co/datasets/lmqg/qg_squad) | default | 0.2386146591654172 | 0.5142752621919274 | 0.2518149650657295 | 0.9070136092258231 | 0.6384645408685703 | [link](https://huggingface.co/lmqg/bart-large-squad-no-paragraph/raw/main/eval/metric.first.sentence.sentence_answer.question.lmqg_qg_squad.default.json) |