model update

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "t5_large_subjqa_restaurants/best_model",
+  "_name_or_path": "lmqg_output/qg_subjqa/t5_large_subjqa_restaurants/model_mzgdpa/epoch_5",
   "add_prefix": true,
   "architectures": [
     "T5ForConditionalGeneration"

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

@@ -0,0 +1 @@
+{"validation": {"Bleu_1": 0.2635722058850571, "Bleu_2": 0.19083455051618622, "Bleu_3": 0.11077912690523407, "Bleu_4": 0.08044892850481104, "METEOR": 0.2736882386914831, "ROUGE_L": 0.2735595589637924, "BERTScore": 0.9467625973760619, "MoverScore": 0.6838471043686927}, "test": {"Bleu_1": 0.2373333333330169, "Bleu_2": 0.1548071547357117, "Bleu_3": 0.07053706747193887, "Bleu_4": 0.041887731141055685, "METEOR": 0.21986044634915577, "ROUGE_L": 0.24935251425397767, "BERTScore": 0.9322474585736499, "MoverScore": 0.6325184833048568}}

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

@@ -0,0 +1 @@
+{"validation": {"Bleu_1": 0.2635722058850571, "Bleu_2": 0.19083455051618622, "Bleu_3": 0.11077912690523407, "Bleu_4": 0.08044892850481104, "METEOR": 0.2736882386914831, "ROUGE_L": 0.2735595589637924, "BERTScore": 0.9467626819314883, "MoverScore": 0.6838471043686927}, "test": {"Bleu_1": 0.2373333333330169, "Bleu_2": 0.1548071547357117, "Bleu_3": 0.07053706747193887, "Bleu_4": 0.041887731141055685, "METEOR": 0.21986044634915577, "ROUGE_L": 0.24935251425397767, "BERTScore": 0.9322474664625, "MoverScore": 0.6325184833048568}}

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

@@ -0,0 +1 @@
+{"validation": {"Bleu_1": 0.2635722058850571, "Bleu_2": 0.19083455051618622, "Bleu_3": 0.11077912690523407, "Bleu_4": 0.08044892850481104, "METEOR": 0.2736882386914831, "ROUGE_L": 0.2735595589637924, "BERTScore": 0.9467626038447831, "MoverScore": 0.6838471043686927}, "test": {"Bleu_1": 0.2373333333330169, "Bleu_2": 0.1548071547357117, "Bleu_3": 0.07053706747193887, "Bleu_4": 0.041887731141055685, "METEOR": 0.21986044634915577, "ROUGE_L": 0.24935251425397767, "BERTScore": 0.9322474528761471, "MoverScore": 0.6325184833048568}}

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

@@ -0,0 +1 @@
+{"validation": {"Bleu_1": 0.2635722058850571, "Bleu_2": 0.19083455051618622, "Bleu_3": 0.11077912690523407, "Bleu_4": 0.08044892850481104, "METEOR": 0.2736882386914831, "ROUGE_L": 0.2735595589637924, "BERTScore": 0.9467626047688861, "MoverScore": 0.6838471043686927}, "test": {"Bleu_1": 0.2373333333330169, "Bleu_2": 0.1548071547357117, "Bleu_3": 0.07053706747193887, "Bleu_4": 0.041887731141055685, "METEOR": 0.21986044634915577, "ROUGE_L": 0.24935251425397767, "BERTScore": 0.932247470406925, "MoverScore": 0.6325184833048568}}

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

@@ -0,0 +1 @@
+{"validation": {"Bleu_1": 0.2635722058850571, "Bleu_2": 0.19083455051618622, "Bleu_3": 0.11077912690523407, "Bleu_4": 0.08044892850481104, "METEOR": 0.2736882386914831, "ROUGE_L": 0.2735595589637924, "BERTScore": 0.9467626043068346, "MoverScore": 0.6838471043686927}, "test": {"Bleu_1": 0.2373333333330169, "Bleu_2": 0.1548071547357117, "Bleu_3": 0.07053706747193887, "Bleu_4": 0.041887731141055685, "METEOR": 0.21986044634915577, "ROUGE_L": 0.24935251425397767, "BERTScore": 0.9322474651476916, "MoverScore": 0.6325184833048568}}

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

@@ -0,0 +1 @@
+{"validation": {"Bleu_1": 0.2635722058850571, "Bleu_2": 0.19083455051618622, "Bleu_3": 0.11077912690523407, "Bleu_4": 0.08044892850481104, "METEOR": 0.2736882386914831, "ROUGE_L": 0.2735595589637924, "BERTScore": 0.9467626047688861, "MoverScore": 0.6838471043686927}, "test": {"Bleu_1": 0.2373333333330169, "Bleu_2": 0.1548071547357117, "Bleu_3": 0.07053706747193887, "Bleu_4": 0.041887731141055685, "METEOR": 0.21986044634915577, "ROUGE_L": 0.24935251425397767, "BERTScore": 0.9322474730365417, "MoverScore": 0.6325184833048568}}

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

@@ -0,0 +1,136 @@
+How is the starter?
+How is the place?
+How is the hostess?
+What is the quality of the dish?
+How is the place?
+How is the quality of the place?
+How is the coffee?
+How is the place?
+How is the wait?
+How is the quality of the restaurant?
+How is the guacamole?
+How is the service?
+How is the place?
+How is the service?
+How is the staff?
+What do you think about the distillery?
+How is the price of the drinks?
+How is the service?
+How is the service?
+How is the place?
+How is the decor?
+How is the patio?
+How is the sauce?
+How is the experience?
+How is the food?
+How is the food?
+How is the food?
+How is the view?
+How is the service?
+How is the burger?
+How is the system?
+How is the vegetarian menu?
+How is the decor?
+How is the place?
+How is the steak?
+How is the quality of the ribs?
+How is the patio?
+How is the place?
+How is the service?
+How is the service?
+How is the selection of beers?
+How is the patio?
+What is the name of the restaurant?
+How is the place?
+How is the server?
+How is the view?
+Is it a good place to stop for a beer and snack?
+How is the sauce?
+How was the experience?
+How is the quality of the dish?
+How is the waitress?
+How is the service?
+How is the atmosphere?
+How is the beer?
+How is the meal?
+How is the sushi?
+How is the quality of the restaurant?
+How is the coffee?
+How is the place?
+How is the bar?
+How is the place?
+How is the view?
+How is the service?
+How is the place?
+How is the drink?
+How is the quality of the restaurant?
+How is the drink?
+How is the food?
+How is the patio?
+How is the patio?
+How is the tater tot?
+How was the table?
+How is the place?
+How is the oyster?
+How is the barbecue?
+How is the menu?
+How is the drink?
+How is the place?
+How is the quality of the food?
+How is the flavour?
+How is the view?
+How is the sushi?
+How is the ambiance?
+How is the food?
+How is the drink?
+How is the place?
+How is the service?
+How is the service?
+How is the waitress?
+How is the price of the meal?
+How is the price of the drink?
+How is the place?
+How is the service?
+What is the name of the beer?
+How is the service?
+How is the price of the drink?
+How is the drink?
+How is the wing?
+How is the service?
+How is the service?
+How is the dish?
+How is the breakfast?
+How is the place?
+How is the place?
+How is the drink?
+How is the view?
+How is the patio?
+How is the service?
+How is the setting?
+How is the chicken?
+How is the patio?
+How is the experience?
+How is the place?
+How is the mussels?
+How is the quality of the food?
+How is the cheese?
+How is the food?
+How is the place?
+How is the place?
+How is the brunch?
+How is the patio?
+How is the bar?
+How is the patio?
+How is the cafe?
+How is the food?
+How is the food?
+How is the quality of the restaurant?
+How is the rice?
+How is the table?
+How is the price?
+How is the place?
+How is the sushi?
+What is the quality of the guacamole?
+How is the quality of the ribs?
+How is the wait time?
+How is the coffee?

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

@@ -0,0 +1,129 @@
+How is the pasta?
+How is the food?
+How is the place?
+How is the place?
+How is the place?
+How is the taco?
+How is the menu?
+How is the food?
+How is the food?
+How is the taste of the dish?
+How is the wine?
+How is the dish?
+How is the flavour?
+How is the service?
+How is the service?
+How is the ramen?
+How is the service?
+How is the quality of the food?
+How is the place?
+How is the taco?
+How is the drink?
+How is the curry?
+How is the food?
+How is the burger?
+How is the price?
+How is the sandwich?
+How is the service?
+How is the place?
+How is the quality of the place?
+How is the experience?
+How is the service?
+How is the place?
+How is the menu?
+How is the food?
+How is the restaurant?
+How is the staff?
+How is the quality of the food?
+How is the food?
+How is the food?
+How is the fish?
+How is the service?
+How is the chicken?
+How is the manager?
+How is the quality of the dish?
+How is the steak?
+How is the flavour?
+How do you like the appetizer?
+How is the place?
+How is the service?
+How is the neighbourhood?
+How is the flavour?
+How is the price of the food?
+How is the pizza?
+How is the staff?
+How do you like the noodle?
+How is the service?
+How is the service?
+How is the taco?
+How is the service?
+How is the place?
+How is the sausage?
+How is the ramen?
+How is the service?
+How is the service?
+How is the food?
+How is the meat?
+How is the quality of the water?
+How is the service?
+How is the beer?
+How is the steak?
+How is the flavour?
+How is the service?
+How is the quality of the restaurant?
+How is the food?
+How is the service?
+How is the food?
+How is the calamari?
+How is the seating?
+How is the experience?
+How is the washroom?
+How is the texture of the cheesecake?
+How is the quality of the sushi?
+How is the place?
+How is the quality of the food?
+How is the food?
+How is the place?
+How is the service?
+What is the name of the taco?
+How is the lobster?
+How is the service?
+How is the waiter?
+How is the food?
+How is the quality of the food?
+How is the soup?
+How is the taco?
+How is the place?
+How is the food?
+How is the portion size?
+How is the quality of the food?
+How is the cake?
+How is the place?
+How is the food?
+How is the meat?
+How is the food?
+How is the food?
+How is the menu?
+How is the quality of the food?
+How is the experience?
+How is the quality of the sushi?
+How is the quality of the dish?
+How is the menu?
+How is the chicken?
+How is the variety?
+How is the service?
+How is the breakfast?
+How is the table?
+How is the quality of the dish?
+How is the cake?
+How is the food?
+How is the service?
+How is the dim sum?
+How is the oyster?
+How is the service?
+How is the sausage?
+How is the price?
+How is the beer?
+How is the food?
+How is the dish?
+Is it good for quick eats?

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ba75c90d37c6887d18e74ba25211760de47bae2872ad753557c95e5428ca355f
-size 2950786951
+oid sha256:bd238d11728056edd4a7476aa702b649236eb09e123d2d13c7b4c53ad7e7cc40
+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_restaurants/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_restaurants/model_mzgdpa/epoch_5", "tokenizer_class": "T5Tokenizer"}

trainer_config.json

@@ -0,0 +1 @@
+{"dataset_path": "asahi417/qg_subjqa", "dataset_name": "restaurants", "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": 0.15}