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: "<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: "generate question: Beyonce further expanded her acting career, starring as blues singer <hl> Etta James <hl> in the 2008 musical biopic, Cadillac Records."
+- text: "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: "generate question: Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic,  <hl> Cadillac Records <hl> ."
+- text: "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-subjqa-restaurants
@@ -46,29 +46,6 @@ model-index:
     - name: MoverScore
       type: moverscore
       value: 0.6356671815651991
-  - task:
-      name: Text2text Generation
-      type: text2text-generation
-    dataset:
-      name: lmqg/qg_squad
-      type: default
-      args: default
-    metrics:
-    - name: BLEU4
-      type: bleu4
-      value: 0.023769132392289873
-    - name: ROUGE-L
-      type: rouge-l
-      value: 0.27350674683342796
-    - name: METEOR
-      type: meteor
-      value: 0.09227251650839328
-    - name: BERTScore
-      type: bertscore
-      value: 0.8847807145448456
-    - name: MoverScore
-      type: moverscore
-      value: 0.5400628455451874
 ---
 
 # Language Models Fine-tuning on Question Generation: `lmqg/bart-large-subjqa-restaurants`
@@ -93,8 +70,7 @@ model_path = 'lmqg/bart-large-subjqa-restaurants'
 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.'
-question = pipe(input_text)
+question = pipe('<hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records.')
 ```
 
 ## Evaluation Metrics
@@ -104,15 +80,9 @@ question = pipe(input_text)
 
 | Dataset | Type | BLEU4 | ROUGE-L | METEOR | BERTScore | MoverScore | Link |
 |:--------|:-----|------:|--------:|-------:|----------:|-----------:|-----:|
-| [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) | restaurants | 0.05540154382690559 | 0.24773274232304157 | 0.224617708822779 | 0.9322543442249298 | 0.6356671815651991 | [link](https://huggingface.co/lmqg/bart-large-subjqa-restaurants/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.restaurants.json) | 
-
+| [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) | restaurants | 0.055 | 0.248 | 0.225 | 0.932 | 0.636 | [link](https://huggingface.co/lmqg/bart-large-subjqa-restaurants/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.restaurants.json) | 
 
 
-### Out-of-domain Metrics
-        
-| Dataset | Type | BLEU4 | ROUGE-L | METEOR | BERTScore | MoverScore | Link |
-|:--------|:-----|------:|--------:|-------:|----------:|-----------:|-----:|
-| [lmqg/qg_squad](https://huggingface.co/datasets/lmqg/qg_squad) | default | 0.023769132392289873 | 0.27350674683342796 | 0.09227251650839328 | 0.8847807145448456 | 0.5400628455451874 | [link](https://huggingface.co/lmqg/bart-large-subjqa-restaurants/raw/main/eval_ood/metric.first.sentence.paragraph_answer.question.lmqg_qg_squad.default.json) |
 
 
 ## Training hyperparameters