model update

README.md

@@ -14,11 +14,11 @@ pipeline_tag: text2text-generation
 tags:
 - question generation
 widget:
-- text: "generate question: <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 further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records. <hl>"
   example_title: "Question Generation Example 1" 
-- text: "generate question: Beyonce further expanded her acting career, starring as blues singer <hl> Etta James <hl> in the 2008 musical biopic, Cadillac Records."
+- text: "generate question: <hl> Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records. <hl>"
   example_title: "Question Generation Example 2" 
-- text: "generate question: Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic,  <hl> Cadillac Records  <hl> ."
+- text: "generate question: <hl> Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records . <hl>"
   example_title: "Question Generation Example 3" 
 model-index:
 - name: lmqg/t5-small-squad-no-answer
@@ -33,19 +33,19 @@ model-index:
     metrics:
     - name: BLEU4
       type: bleu4
-      value: 0.21485258550976716
+      value: 0.21121852916203582
     - name: ROUGE-L
       type: rouge-l
-      value: 0.4814016162942198
+      value: 0.4746967055057577
     - name: METEOR
       type: meteor
-      value: 0.23377448216932625
+      value: 0.23384596803152297
     - name: BERTScore
       type: bertscore
-      value: 0.8989167797389837
+      value: 0.8964476409584947
     - name: MoverScore
       type: moverscore
-      value: 0.6235067427760864
+      value: 0.6207232474685432
 ---
 
 # Language Models Fine-tuning on Question Generation: `lmqg/t5-small-squad-no-answer`
@@ -70,7 +70,7 @@ model_path = 'lmqg/t5-small-squad-no-answer'
 pipe = pipeline("text2text-generation", model_path)
 
 # Question Generation
-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.'
+input_text = 'generate question: <hl>  Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records. <hl>'
 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 | 0.21485258550976716 | 0.4814016162942198 | 0.23377448216932625 | 0.8989167797389837 | 0.6235067427760864 | [link](https://huggingface.co/lmqg/t5-small-squad-no-answer/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 | 0.21121852916203582 | 0.4746967055057577 | 0.23384596803152297 | 0.8964476409584947 | 0.6207232474685432 | [link](https://huggingface.co/lmqg/t5-small-squad-no-answer/raw/main/eval/metric.first.sentence.paragraph_sentence.question.lmqg_qg_squad.default.json) |