model update

README.md

@@ -46,29 +46,6 @@ model-index:
     - name: MoverScore
       type: moverscore
       value: 0.6563909526416347
-  - task:
-      name: Text2text Generation
-      type: text2text-generation
-    dataset:
-      name: lmqg/qg_squad
-      type: default
-      args: default
-    metrics:
-    - name: BLEU4
-      type: bleu4
-      value: 0.2101519792517133
-    - name: ROUGE-L
-      type: rouge-l
-      value: 0.49083267270268255
-    - name: METEOR
-      type: meteor
-      value: 0.2264796540080919
-    - name: BERTScore
-      type: bertscore
-      value: 0.9053447516797468
-    - name: MoverScore
-      type: moverscore
-      value: 0.6250003465601007
 ---
 
 # Language Models Fine-tuning on Question Generation: `lmqg/t5-small-subjqa-grocery`
@@ -93,8 +70,7 @@ model_path = 'lmqg/t5-small-subjqa-grocery'
 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) | grocery | 3.3837813858208836e-06 | 0.22171186207157545 | 0.2330773068950705 | 0.9324378108978272 | 0.6563909526416347 | [link](https://huggingface.co/lmqg/t5-small-subjqa-grocery/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.grocery.json) | 
-
+| [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) | grocery | 0.0 | 0.222 | 0.233 | 0.932 | 0.656 | [link](https://huggingface.co/lmqg/t5-small-subjqa-grocery/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.grocery.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 | 0.2101519792517133 | 0.49083267270268255 | 0.2264796540080919 | 0.9053447516797468 | 0.6250003465601007 | [link](https://huggingface.co/lmqg/t5-small-subjqa-grocery/raw/main/eval_ood/metric.first.sentence.paragraph_answer.question.lmqg_qg_squad.default.json) |
 
 
 ## Training hyperparameters