model update

README.md

@@ -46,29 +46,6 @@ model-index:
     - name: MoverScore
       type: moverscore
       value: 0.6251283990068167
-  - task:
-      name: Text2text Generation
-      type: text2text-generation
-    dataset:
-      name: lmqg/qg_squad
-      type: default
-      args: default
-    metrics:
-    - name: BLEU4
-      type: bleu4
-      value: 0.17865591948915446
-    - name: ROUGE-L
-      type: rouge-l
-      value: 0.4434755425309365
-    - name: METEOR
-      type: meteor
-      value: 0.20137442726325325
-    - name: BERTScore
-      type: bertscore
-      value: 0.9023929154360358
-    - name: MoverScore
-      type: moverscore
-      value: 0.6095406387914699
 ---
 
 # Language Models Fine-tuning on Question Generation: `lmqg/t5-large-subjqa-books`
@@ -93,8 +70,7 @@ model_path = 'lmqg/t5-large-subjqa-books'
 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('generate question: <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) | books | 3.533435659461028e-06 | 0.23681615122464109 | 0.20826196682882675 | 0.9288704804100916 | 0.6251283990068167 | [link](https://huggingface.co/lmqg/t5-large-subjqa-books/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.books.json) | 
-
+| [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) | books | 0.0 | 0.237 | 0.208 | 0.929 | 0.625 | [link](https://huggingface.co/lmqg/t5-large-subjqa-books/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.books.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 | 0.17865591948915446 | 0.4434755425309365 | 0.20137442726325325 | 0.9023929154360358 | 0.6095406387914699 | [link](https://huggingface.co/lmqg/t5-large-subjqa-books/raw/main/eval_ood/metric.first.sentence.paragraph_answer.question.lmqg_qg_squad.default.json) |
 
 
 ## Training hyperparameters