model update

README.md

@@ -14,7 +14,7 @@ pipeline_tag: text2text-generation
 tags:
 - questions and answers generation
 widget:
-- text: "generate question and answer:  Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records."
+- text: "generate question and answer: Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records."
   example_title: "Questions & Answers Generation Example 1" 
 model-index:
 - name: lmqg/t5-large-tweetqa-qag
@@ -38,16 +38,16 @@ model-index:
       value: 0.31606923044567353
     - name: BERTScore
       type: bertscore
-      value: 0.9109018614729723
+      value: 0.910901861064021
     - name: MoverScore
       type: moverscore
       value: 0.6276807689001792
     - name: QAAlignedF1Score (BERTScore)
       type: qa_aligned_f1_score_bertscore
-      value: 0.9249592790830291
+      value: 0.9249568276981791
     - name: QAAlignedF1Score (MoverScore)
       type: qa_aligned_f1_score_moverscore
-      value: 0.65046712149093
+      value: 0.6504891051908223
 ---
 
 # Model Card of `lmqg/t5-large-tweetqa-qag`
@@ -89,7 +89,7 @@ from lmqg import TransformersQG
 # initialize model
 model = TransformersQG(language='en', model='lmqg/t5-large-tweetqa-qag')
 # model prediction
-question = model.generate_qa(list_context=["William Turner was an English painter who specialised in watercolour landscapes"], list_answer=["William Turner"])
+question = model.generate_qa("William Turner was an English painter who specialised in watercolour landscapes")
         
 ```
 
@@ -100,7 +100,7 @@ from transformers import pipeline
 # initialize model
 pipe = pipeline("text2text-generation", 'lmqg/t5-large-tweetqa-qag')
 # question generation
-question = pipe('generate question and answer:  Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records.')
+question = pipe('generate question and answer: Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records.')
 
 ```
 

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "lmqg_output/t5_large_tweetqa/best_model",
+  "_name_or_path": "lmqg_output/t5_large_tweetqa/model_mzgdpa/epoch_15",
   "add_prefix": true,
   "architectures": [
     "T5ForConditionalGeneration"

eval/metric.first.answer.paragraph.questions_answers.lmqg_qag_tweetqa.default.json

@@ -1 +1 @@
-{"validation": {"Bleu_1": 0.394207422823425, "Bleu_2": 0.27038964481113453, "Bleu_3": 0.18739277300825702, "Bleu_4": 0.13114698367378638, "METEOR": 0.34585457496727634, "ROUGE_L": 0.382560092903778, "BERTScore": 0.9066984992902438, "MoverScore": 0.6275517569967117, "QAAlignedF1Score (BERTScore)": 0.9198975058373102, "QAAlignedF1Score (MoverScore)": 0.6506817678090372}, "test": {"Bleu_1": 0.4133416813705724, "Bleu_2": 0.2836783148838816, "Bleu_3": 0.19681581918083613, "Bleu_4": 0.13755949895011021, "METEOR": 0.31606923044567353, "ROUGE_L": 0.3723510278895709, "BERTScore": 0.9109018614729723, "MoverScore": 0.6276807689001792, "QAAlignedF1Score (BERTScore)": 0.9249592790830291, "QAAlignedF1Score (MoverScore)": 0.65046712149093}}
+{"validation": {"Bleu_1": 0.394207422823425, "Bleu_2": 0.27038964481113453, "Bleu_3": 0.18739277300825702, "Bleu_4": 0.13114698367378638, "METEOR": 0.34585457496727634, "ROUGE_L": 0.382560092903778, "BERTScore": 0.9066984990857682, "MoverScore": 0.6275517569967117, "QAAlignedF1Score (BERTScore)": 0.9183287210718071, "QAAlignedF1Score (MoverScore)": 0.6495212645715458}, "test": {"Bleu_1": 0.4133416813705724, "Bleu_2": 0.2836783148838816, "Bleu_3": 0.19681581918083613, "Bleu_4": 0.13755949895011021, "METEOR": 0.31606923044567353, "ROUGE_L": 0.3723510278895709, "BERTScore": 0.910901861064021, "MoverScore": 0.6276807689001792, "QAAlignedF1Score (BERTScore)": 0.9249568276981791, "QAAlignedF1Score (MoverScore)": 0.6504891051908223}}

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2e44f0123ea97366277358f859e565b30b7863d5c7ec6b23ed706cfb5f768b6b
-size 2950727111
+oid sha256:afba7fd4c15282caf436b4f53864293edad36eb3ae5441b4d7366b001be69d6d
+size 2950734215

tokenizer_config.json

@@ -104,7 +104,7 @@
   "eos_token": "</s>",
   "extra_ids": 100,
   "model_max_length": 512,
-  "name_or_path": "lmqg_output/t5_large_tweetqa/best_model",
+  "name_or_path": "lmqg_output/t5_large_tweetqa/model_mzgdpa/epoch_15",
   "pad_token": "<pad>",
   "special_tokens_map_file": null,
   "tokenizer_class": "T5Tokenizer",