add model

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "lmqg_output/mt5_base_jaquad_answer/model_fxobtp/epoch_5",
+  "_name_or_path": "mt5-base-jaquad-qg-ae",
   "add_prefix": true,
   "architectures": [
     "MT5ForConditionalGeneration"

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

@@ -1 +1 @@
-{"test": {"QAAlignedF1Score (BERTScore)": 0.8035098723803743, "QAAlignedRecall (BERTScore)": 0.8378749715759669, "QAAlignedPrecision (BERTScore)": 0.7728178741807085, "QAAlignedF1Score (MoverScore)": 0.5623463256430944, "QAAlignedRecall (MoverScore)": 0.5881454405770354, "QAAlignedPrecision (MoverScore)": 0.5401739069684022}, "validation": {"QAAlignedF1Score (BERTScore)": 0.813409552842049, "QAAlignedRecall (BERTScore)": 0.8308434153273754, "QAAlignedPrecision (BERTScore)": 0.7975233646341368, "QAAlignedF1Score (MoverScore)": 0.5698790455257939, "QAAlignedRecall (MoverScore)": 0.5819119554714534, "QAAlignedPrecision (MoverScore)": 0.5593087503926527}}
+{"test": {"QAAlignedF1Score (BERTScore)": 0.8035098723803743, "QAAlignedRecall (BERTScore)": 0.8378749715759669, "QAAlignedPrecision (BERTScore)": 0.7728178741807085, "QAAlignedF1Score (MoverScore)": 0.5623463256430944, "QAAlignedRecall (MoverScore)": 0.5881454405770354, "QAAlignedPrecision (MoverScore)": 0.5401739069684022, "Bleu_1": 0.0025128960375107217, "Bleu_2": 0.00010766134896251767, "Bleu_3": 8.252683190220101e-10, "Bleu_4": 2.32583496149638e-12, "METEOR": 0.2369649102114762, "ROUGE_L": 0.005285822055509688, "BERTScore": 0.6405208326460885, "MoverScore": 0.5099417517397539}, "validation": {"QAAlignedF1Score (BERTScore)": 0.813409552842049, "QAAlignedRecall (BERTScore)": 0.8308434153273754, "QAAlignedPrecision (BERTScore)": 0.7975233646341368, "QAAlignedF1Score (MoverScore)": 0.5698790455257939, "QAAlignedRecall (MoverScore)": 0.5819119554714534, "QAAlignedPrecision (MoverScore)": 0.5593087503926527, "Bleu_1": 0.013051907816246874, "Bleu_2": 0.000999813431451189, "Bleu_3": 8.214040738586994e-09, "Bleu_4": 2.3698104170904746e-11, "METEOR": 0.29121605271908635, "ROUGE_L": 0.025555158751729642, "BERTScore": 0.7012932381789889, "MoverScore": 0.5313196842152044}}

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3d9e75b9d563e51e1dc098e5d9c7fd8773b8f7e699a5034bded770d6f6f2c93c
-size 2329632589
+oid sha256:d299d00b41531245bb927995349aa50aea52bc26200d27854482f6c79de92f5b
+size 2329628621