model update

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "t5_large_subjqa_movies/best_model",
+  "_name_or_path": "lmqg_output/qg_subjqa/t5_large_subjqa_movies/model_uramvg/epoch_5",
   "add_prefix": true,
   "architectures": [
     "T5ForConditionalGeneration"

eval/metric.first.answer.paragraph_answer.question.asahi417_qg_subjqa.movies.json

@@ -0,0 +1 @@
+{"validation": {"Bleu_1": 0.25490196078385935, "Bleu_2": 0.16810969503602574, "Bleu_3": 0.08914791572228416, "Bleu_4": 0.05756963377236844, "METEOR": 0.2634196411215207, "ROUGE_L": 0.2767684314827564, "BERTScore": 0.9415858157790533, "MoverScore": 0.664696349294762}, "test": {"Bleu_1": 0.2414893693746209, "Bleu_2": 0.1544238039323177, "Bleu_3": 0.050006942524981376, "Bleu_4": 4.166296073872047e-06, "METEOR": 0.2170496930980009, "ROUGE_L": 0.2506432063607754, "BERTScore": 0.936433067569485, "MoverScore": 0.638848285919723}}

eval/metric.first.sentence.paragraph_answer.question.asahi417_qg_subjqa.movies.json

@@ -0,0 +1 @@
+{"validation": {"Bleu_1": 0.25490196078385935, "Bleu_2": 0.16810969503602574, "Bleu_3": 0.08914791572228416, "Bleu_4": 0.05756963377236844, "METEOR": 0.2634196411215207, "ROUGE_L": 0.2767684314827564, "BERTScore": 0.9415858069268783, "MoverScore": 0.664696349294762}, "test": {"Bleu_1": 0.2414893693746209, "Bleu_2": 0.1544238039323177, "Bleu_3": 0.050006942524981376, "Bleu_4": 4.166296073872047e-06, "METEOR": 0.2170496930980009, "ROUGE_L": 0.2506432063607754, "BERTScore": 0.9364330509266297, "MoverScore": 0.638848285919723}}

eval/metric.last.sentence.paragraph_answer.question.asahi417_qg_subjqa.movies.json

@@ -0,0 +1 @@
+{"validation": {"Bleu_1": 0.25490196078385935, "Bleu_2": 0.16810969503602574, "Bleu_3": 0.08914791572228416, "Bleu_4": 0.05756963377236844, "METEOR": 0.2634196411215207, "ROUGE_L": 0.2767684314827564, "BERTScore": 0.9415858163691984, "MoverScore": 0.664696349294762}, "test": {"Bleu_1": 0.2414893693746209, "Bleu_2": 0.1544238039323177, "Bleu_3": 0.050006942524981376, "Bleu_4": 4.166296073872047e-06, "METEOR": 0.2170496930980009, "ROUGE_L": 0.2506432063607754, "BERTScore": 0.9364330795678225, "MoverScore": 0.638848285919723}}

eval/metric.long.sentence.paragraph_answer.question.asahi417_qg_subjqa.movies.json

@@ -0,0 +1 @@
+{"validation": {"Bleu_1": 0.25490196078385935, "Bleu_2": 0.16810969503602574, "Bleu_3": 0.08914791572228416, "Bleu_4": 0.05756963377236844, "METEOR": 0.2634196411215207, "ROUGE_L": 0.2767684314827564, "BERTScore": 0.9415858169593433, "MoverScore": 0.664696349294762}, "test": {"Bleu_1": 0.2414893693746209, "Bleu_2": 0.1544238039323177, "Bleu_3": 0.050006942524981376, "Bleu_4": 4.166296073872047e-06, "METEOR": 0.2170496930980009, "ROUGE_L": 0.2506432063607754, "BERTScore": 0.9364330613767946, "MoverScore": 0.638848285919723}}

eval/metric.middle.sentence.paragraph_answer.question.asahi417_qg_subjqa.movies.json

@@ -0,0 +1 @@
+{"validation": {"Bleu_1": 0.25490196078385935, "Bleu_2": 0.16810969503602574, "Bleu_3": 0.08914791572228416, "Bleu_4": 0.05756963377236844, "METEOR": 0.2634196411215207, "ROUGE_L": 0.2767684314827564, "BERTScore": 0.9415858140086183, "MoverScore": 0.664696349294762}, "test": {"Bleu_1": 0.2414893693746209, "Bleu_2": 0.1544238039323177, "Bleu_3": 0.050006942524981376, "Bleu_4": 4.166296073872047e-06, "METEOR": 0.2170496930980009, "ROUGE_L": 0.2506432063607754, "BERTScore": 0.9364330640860966, "MoverScore": 0.638848285919723}}

eval/metric.short.sentence.paragraph_answer.question.asahi417_qg_subjqa.movies.json

@@ -0,0 +1 @@
+{"validation": {"Bleu_1": 0.25490196078385935, "Bleu_2": 0.16810969503602574, "Bleu_3": 0.08914791572228416, "Bleu_4": 0.05756963377236844, "METEOR": 0.2634196411215207, "ROUGE_L": 0.2767684314827564, "BERTScore": 0.9415858145987633, "MoverScore": 0.664696349294762}, "test": {"Bleu_1": 0.2414893693746209, "Bleu_2": 0.1544238039323177, "Bleu_3": 0.050006942524981376, "Bleu_4": 4.166296073872047e-06, "METEOR": 0.2170496930980009, "ROUGE_L": 0.2506432063607754, "BERTScore": 0.9364330536359317, "MoverScore": 0.638848285919723}}

eval/samples.test.hyp.paragraph_answer.question.asahi417_qg_subjqa.movies.txt

@@ -0,0 +1,154 @@
+How is the costume?
+How is the movie?
+How is the ending?
+How is the episode?
+What is the goal of the game?
+How is the humor?
+How is the actor?
+How is the costume?
+How is the actor?
+How is the sound?
+How is the film?
+How is the acting?
+How is the movie?
+How is the sound?
+How is the acting?
+How is the episode?
+How is the film?
+How is the suspense?
+How is the suspense?
+How is the quality of the costumes?
+How is the direction?
+How is the movie?
+How is the story?
+How is the movie?
+How is film?
+How is the story?
+How is the performance?
+How is the movie?
+How is the costume?
+How is the script?
+How is the picture quality?
+How is the quality of the movie?
+How is the plot?
+How is the plot?
+How is the plot?
+How is the quality of the movie?
+How is the performance?
+How is the acting?
+How is the film?
+What is the plot of this movie?
+How is the show?
+How is the quality of the movie?
+How is the actor?
+How is the animation?
+How is the quality of the script?
+How is the book?
+What is the plot of this movie?
+How is the film?
+What is the plot of this film?
+How is the quality of the cast?
+How is the cast?
+How is the story?
+How is the movie?
+How is the performance?
+How is the ending?
+What is the plot of this movie?
+How is the quality of the movie?
+How is the performance?
+How is the film?
+How is the film?
+How is the action?
+How is the movie?
+How is the image?
+How is the film?
+What is the truth?
+How is the cast?
+How is the quality of the movie?
+How is the film?
+How is the episode?
+What is the plot of this film?
+What is the plot of the film?
+What do you think about story?
+How is the series?
+How is the plot?
+How is the sound?
+How is the dialogue?
+How is the film?
+How is the transformation?
+How is the movie?
+How is the quality of the picture?
+How is the story?
+How is the film?
+How is the costume?
+How is the performance?
+How is the quality of the film?
+How funny is the movie?
+How is the ending?
+What do you think about film?
+How is the action?
+How is the costume?
+How is the movie?
+How funny are the deleted scenes?
+How is the movie?
+How is the movie?
+How is the story?
+How is the film?
+How is the quality of the movie?
+How is the ending?
+How is the movie?
+How is the crew?
+How is the quality of the actor?
+How is the film?
+How is the picture quality?
+How is the quality of the picture?
+How is the acting?
+How is the film?
+How is the film?
+How is the movie?
+How is the costume?
+How is the movie?
+How is the acting?
+How is the movie?
+How is the special effect?
+How is the story?
+How is the movie?
+How is the picture?
+How is the quality of the movie?
+How is the film?
+How is the quality of the movie?
+How is the sound?
+How is the acting?
+How is the episode?
+How is the acting?
+How is the twist?
+How is the quality of the film?
+How is the episode?
+How is the movie?
+How is the script?
+How is the actor?
+How is the match?
+How long does it take to sweat?
+How is the acting?
+How is the movie?
+What is the name of the movie?
+How is the performance?
+How is the book?
+How is the performance?
+How is the set?
+What do you think about the ending?
+How is the story?
+How is the film?
+How is the movie?
+How is the show?
+How is the quality of the movie?
+How is the music?
+How is the actor?
+How is the story?
+What is the profession of the characters in the movie?
+How is the sound?
+How is the performance?
+How is the story?
+How is the movie?
+How is the violence?
+What is the plot of the film?

eval/samples.validation.hyp.paragraph_answer.question.asahi417_qg_subjqa.movies.txt

@@ -0,0 +1,101 @@
+How is the film?
+How is the quality of the movie?
+How is the sound?
+How is the film?
+How is the scenery?
+How is the sound?
+How is the film?
+How is the film?
+How is the musical?
+How is the movie?
+How is the episode?
+How is the quality of the show?
+How is the film?
+How is the story?
+How is the quality of the effects?
+How is the film?
+How is the episode?
+How is the film?
+How is the movie?
+How is the character?
+How is the movie?
+How is the action?
+How is the special effect?
+How is the show?
+How is the music?
+How is the quality of the movie?
+How is the movie?
+How is the rest of the cast?
+How is the rest of the movie?
+How is the actor?
+How is the cast?
+How is the sound?
+How is the music?
+How is the movie?
+How is the film?
+How is the dialogue?
+How is the quality of the effects?
+How is the action?
+How is the character?
+How is the film?
+How is the movie?
+How is the acting?
+How is the lighting?
+How is the movie?
+How is the cast?
+How is the episode?
+How was the film?
+How is the quality of the movie?
+How is the film?
+How is the music?
+How is the quality of the movie?
+How is the movie?
+How is the movie?
+What do you think about the movie?
+How is the character?
+How is the music?
+How is the action?
+How is the music?
+How is the film?
+How is the picture?
+How is the quality of the video?
+How is the movie?
+How is the show?
+How is the film?
+How is the series?
+How is the picture?
+How is the character?
+How is the movie?
+How is the movie?
+How is the quality of the film?
+How is the actor?
+How is the movie?
+What is the plot of this movie?
+How is the acting?
+How is the film?
+How is the acting?
+How is the movie?
+What is the plot of the movie?
+How was the scene?
+How do you like the movie?
+How is the film?
+How is the movie?
+How is the movie?
+How is the movie?
+How is the series?
+How is the quality of the movie?
+How is the cast?
+How is the camera?
+How is the scene?
+How is the scene?
+How is the movie?
+How is the performance?
+How is the effect?
+What is the most gross scene?
+How is the film?
+How is the cast?
+What is the plot of this movie?
+How is the animation?
+How is the plot?
+How is the casting?
+How is the quality of the transfer?

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8e3bc4321f3c0bf46079ae16e227c558952613338a3de46a45755519fd84104c
-size 2950786951
+oid sha256:79ff61f0f5f0068d78709c3834e1dd43a46664edf1f2d3b05f5ba75e63dd81bd
+size 2950794119

tokenizer_config.json

@@ -1 +1 @@
-{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 100, "additional_special_tokens": ["<extra_id_0>", "<extra_id_1>", "<extra_id_2>", "<extra_id_3>", "<extra_id_4>", "<extra_id_5>", "<extra_id_6>", "<extra_id_7>", "<extra_id_8>", "<extra_id_9>", "<extra_id_10>", "<extra_id_11>", "<extra_id_12>", "<extra_id_13>", "<extra_id_14>", "<extra_id_15>", "<extra_id_16>", "<extra_id_17>", "<extra_id_18>", "<extra_id_19>", "<extra_id_20>", "<extra_id_21>", "<extra_id_22>", "<extra_id_23>", "<extra_id_24>", "<extra_id_25>", "<extra_id_26>", "<extra_id_27>", "<extra_id_28>", "<extra_id_29>", "<extra_id_30>", "<extra_id_31>", "<extra_id_32>", "<extra_id_33>", "<extra_id_34>", "<extra_id_35>", "<extra_id_36>", "<extra_id_37>", "<extra_id_38>", "<extra_id_39>", "<extra_id_40>", "<extra_id_41>", "<extra_id_42>", "<extra_id_43>", "<extra_id_44>", "<extra_id_45>", "<extra_id_46>", "<extra_id_47>", "<extra_id_48>", "<extra_id_49>", "<extra_id_50>", "<extra_id_51>", "<extra_id_52>", "<extra_id_53>", "<extra_id_54>", "<extra_id_55>", "<extra_id_56>", "<extra_id_57>", "<extra_id_58>", "<extra_id_59>", "<extra_id_60>", "<extra_id_61>", "<extra_id_62>", "<extra_id_63>", "<extra_id_64>", "<extra_id_65>", "<extra_id_66>", "<extra_id_67>", "<extra_id_68>", "<extra_id_69>", "<extra_id_70>", "<extra_id_71>", "<extra_id_72>", "<extra_id_73>", "<extra_id_74>", "<extra_id_75>", "<extra_id_76>", "<extra_id_77>", "<extra_id_78>", "<extra_id_79>", "<extra_id_80>", "<extra_id_81>", "<extra_id_82>", "<extra_id_83>", "<extra_id_84>", "<extra_id_85>", "<extra_id_86>", "<extra_id_87>", "<extra_id_88>", "<extra_id_89>", "<extra_id_90>", "<extra_id_91>", "<extra_id_92>", "<extra_id_93>", "<extra_id_94>", "<extra_id_95>", "<extra_id_96>", "<extra_id_97>", "<extra_id_98>", "<extra_id_99>"], "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "t5_large_subjqa_movies/best_model", "tokenizer_class": "T5Tokenizer"}
+{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 100, "additional_special_tokens": ["<extra_id_0>", "<extra_id_1>", "<extra_id_2>", "<extra_id_3>", "<extra_id_4>", "<extra_id_5>", "<extra_id_6>", "<extra_id_7>", "<extra_id_8>", "<extra_id_9>", "<extra_id_10>", "<extra_id_11>", "<extra_id_12>", "<extra_id_13>", "<extra_id_14>", "<extra_id_15>", "<extra_id_16>", "<extra_id_17>", "<extra_id_18>", "<extra_id_19>", "<extra_id_20>", "<extra_id_21>", "<extra_id_22>", "<extra_id_23>", "<extra_id_24>", "<extra_id_25>", "<extra_id_26>", "<extra_id_27>", "<extra_id_28>", "<extra_id_29>", "<extra_id_30>", "<extra_id_31>", "<extra_id_32>", "<extra_id_33>", "<extra_id_34>", "<extra_id_35>", "<extra_id_36>", "<extra_id_37>", "<extra_id_38>", "<extra_id_39>", "<extra_id_40>", "<extra_id_41>", "<extra_id_42>", "<extra_id_43>", "<extra_id_44>", "<extra_id_45>", "<extra_id_46>", "<extra_id_47>", "<extra_id_48>", "<extra_id_49>", "<extra_id_50>", "<extra_id_51>", "<extra_id_52>", "<extra_id_53>", "<extra_id_54>", "<extra_id_55>", "<extra_id_56>", "<extra_id_57>", "<extra_id_58>", "<extra_id_59>", "<extra_id_60>", "<extra_id_61>", "<extra_id_62>", "<extra_id_63>", "<extra_id_64>", "<extra_id_65>", "<extra_id_66>", "<extra_id_67>", "<extra_id_68>", "<extra_id_69>", "<extra_id_70>", "<extra_id_71>", "<extra_id_72>", "<extra_id_73>", "<extra_id_74>", "<extra_id_75>", "<extra_id_76>", "<extra_id_77>", "<extra_id_78>", "<extra_id_79>", "<extra_id_80>", "<extra_id_81>", "<extra_id_82>", "<extra_id_83>", "<extra_id_84>", "<extra_id_85>", "<extra_id_86>", "<extra_id_87>", "<extra_id_88>", "<extra_id_89>", "<extra_id_90>", "<extra_id_91>", "<extra_id_92>", "<extra_id_93>", "<extra_id_94>", "<extra_id_95>", "<extra_id_96>", "<extra_id_97>", "<extra_id_98>", "<extra_id_99>"], "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "lmqg_output/qg_subjqa/t5_large_subjqa_movies/model_uramvg/epoch_5", "tokenizer_class": "T5Tokenizer"}

trainer_config.json

@@ -0,0 +1 @@
+{"dataset_path": "asahi417/qg_subjqa", "dataset_name": "movies", "input_types": ["paragraph_answer"], "output_types": ["question"], "prefix_types": ["qg"], "model": "asahi417/lmqg-t5-large-squad", "max_length": 512, "max_length_output": 32, "epoch": 6, "batch": 16, "lr": 0.0001, "fp16": false, "random_seed": 1, "gradient_accumulation_steps": 4, "label_smoothing": 0.0}