add model

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "lmqg_output/mt5_base_koquad_answer/model_mntyya/epoch_5",
+  "_name_or_path": "mt5-base-koquad-qg-ae",
   "add_prefix": true,
   "architectures": [
     "MT5ForConditionalGeneration"

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

@@ -1 +1 @@
-{"test": {"QAAlignedF1Score (BERTScore)": 0.8027605791423696, "QAAlignedRecall (BERTScore)": 0.8391231148330259, "QAAlignedPrecision (BERTScore)": 0.7702733584479435, "QAAlignedF1Score (MoverScore)": 0.8197379797060238, "QAAlignedRecall (MoverScore)": 0.8642724490753525, "QAAlignedPrecision (MoverScore)": 0.7810142692565831}, "validation": {"QAAlignedF1Score (BERTScore)": 0.8270067656226541, "QAAlignedRecall (BERTScore)": 0.8366250098715292, "QAAlignedPrecision (BERTScore)": 0.8181326641770484, "QAAlignedF1Score (MoverScore)": 0.8616624306894872, "QAAlignedRecall (MoverScore)": 0.8688060705285917, "QAAlignedPrecision (MoverScore)": 0.8559387631638197}}
+{"test": {"QAAlignedF1Score (BERTScore)": 0.8027605791423696, "QAAlignedRecall (BERTScore)": 0.8391231148330259, "QAAlignedPrecision (BERTScore)": 0.7702733584479435, "QAAlignedF1Score (MoverScore)": 0.8197379797060238, "QAAlignedRecall (MoverScore)": 0.8642724490753525, "QAAlignedPrecision (MoverScore)": 0.7810142692565831, "Bleu_1": 0.07867049492336763, "Bleu_2": 0.04304444583211752, "Bleu_3": 0.021247600813360898, "Bleu_4": 0.010523322502469415, "METEOR": 0.23485146036148458, "ROUGE_L": 0.12740780777873356, "BERTScore": 0.6747136537634753, "MoverScore": 0.6216364076144324}, "validation": {"QAAlignedF1Score (BERTScore)": 0.8270067656226541, "QAAlignedRecall (BERTScore)": 0.8366250098715292, "QAAlignedPrecision (BERTScore)": 0.8181326641770484, "QAAlignedF1Score (MoverScore)": 0.8616624306894872, "QAAlignedRecall (MoverScore)": 0.8688060705285917, "QAAlignedPrecision (MoverScore)": 0.8559387631638197, "Bleu_1": 0.27447237994545626, "Bleu_2": 0.18169245535231787, "Bleu_3": 0.11375700953089303, "Bleu_4": 0.06922290192668507, "METEOR": 0.29190443770774127, "ROUGE_L": 0.25552859922596194, "BERTScore": 0.7677093982696533, "MoverScore": 0.697134000387978}}

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f6b1e4b44f520cf2f9df67e301940630d70da30c6c704da0ea6612f1f3454345
-size 2329632589
+oid sha256:7feaae1262b8ab7f8a2f54cca1c2246f4264058a370fd21e0547b3ad4f0be7a0
+size 2329628621