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bart-base-subjqa-restaurants-qg

Text2Text Generation
Transformers
PyTorch
English
bart
question generation
Eval Results
Inference Endpoints
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asahi417 commited on
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eddec0e
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1 Parent(s): 68369cd

update

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  1. eval/{metric.first.answer.paragraph_answer.question.asahi417_qg_subjqa.restaurants.json → metric.first.answer.paragraph_answer.question.lmqg_qg_subjqa.restaurants.json} +0 -0
  2. eval/{metric.first.answer.paragraph_sentence.question.asahi417_qg_subjqa.restaurants.json → metric.first.answer.paragraph_sentence.question.lmqg_qg_subjqa.restaurants.json} +0 -0
  3. eval/{metric.first.answer.sentence_answer.question.asahi417_qg_subjqa.restaurants.json → metric.first.answer.sentence_answer.question.lmqg_qg_subjqa.restaurants.json} +0 -0
  4. eval/{metric.first.sentence.paragraph_answer.question.asahi417_qg_subjqa.restaurants.json → metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.restaurants.json} +0 -0
  5. eval/{metric.first.sentence.paragraph_sentence.question.asahi417_qg_subjqa.restaurants.json → metric.first.sentence.paragraph_sentence.question.lmqg_qg_subjqa.restaurants.json} +0 -0
  6. eval/{metric.first.sentence.sentence_answer.question.asahi417_qg_subjqa.restaurants.json → metric.first.sentence.sentence_answer.question.lmqg_qg_subjqa.restaurants.json} +0 -0
  7. eval/{metric.last.sentence.paragraph_answer.question.asahi417_qg_subjqa.restaurants.json → metric.last.sentence.paragraph_answer.question.lmqg_qg_subjqa.restaurants.json} +0 -0
  8. eval/{metric.last.sentence.paragraph_sentence.question.asahi417_qg_subjqa.restaurants.json → metric.last.sentence.paragraph_sentence.question.lmqg_qg_subjqa.restaurants.json} +0 -0
  9. eval/{metric.last.sentence.sentence_answer.question.asahi417_qg_subjqa.restaurants.json → metric.last.sentence.sentence_answer.question.lmqg_qg_subjqa.restaurants.json} +0 -0
  10. eval/{metric.long.sentence.paragraph_answer.question.asahi417_qg_subjqa.restaurants.json → metric.long.sentence.paragraph_answer.question.lmqg_qg_subjqa.restaurants.json} +0 -0
  11. eval/{metric.long.sentence.paragraph_sentence.question.asahi417_qg_subjqa.restaurants.json → metric.long.sentence.paragraph_sentence.question.lmqg_qg_subjqa.restaurants.json} +0 -0
  12. eval/{metric.long.sentence.sentence_answer.question.asahi417_qg_subjqa.restaurants.json → metric.long.sentence.sentence_answer.question.lmqg_qg_subjqa.restaurants.json} +0 -0
  13. eval/{metric.middle.sentence.paragraph_answer.question.asahi417_qg_subjqa.restaurants.json → metric.middle.sentence.paragraph_answer.question.lmqg_qg_subjqa.restaurants.json} +0 -0
  14. eval/{metric.middle.sentence.paragraph_sentence.question.asahi417_qg_subjqa.restaurants.json → metric.middle.sentence.paragraph_sentence.question.lmqg_qg_subjqa.restaurants.json} +0 -0
  15. eval/{metric.middle.sentence.sentence_answer.question.asahi417_qg_subjqa.restaurants.json → metric.middle.sentence.sentence_answer.question.lmqg_qg_subjqa.restaurants.json} +0 -0
  16. eval/{metric.short.sentence.paragraph_answer.question.asahi417_qg_subjqa.restaurants.json → metric.short.sentence.paragraph_answer.question.lmqg_qg_subjqa.restaurants.json} +0 -0
  17. eval/{metric.short.sentence.paragraph_sentence.question.asahi417_qg_subjqa.restaurants.json → metric.short.sentence.paragraph_sentence.question.lmqg_qg_subjqa.restaurants.json} +0 -0
  18. eval/{metric.short.sentence.sentence_answer.question.asahi417_qg_subjqa.restaurants.json → metric.short.sentence.sentence_answer.question.lmqg_qg_subjqa.restaurants.json} +0 -0
  19. eval/{samples.test.hyp.paragraph_answer.question.asahi417_qg_subjqa.restaurants.txt → samples.test.hyp.paragraph_answer.question.lmqg_qg_subjqa.restaurants.txt} +0 -0
  20. eval/{samples.test.hyp.paragraph_sentence.question.asahi417_qg_subjqa.restaurants.txt → samples.test.hyp.paragraph_sentence.question.lmqg_qg_subjqa.restaurants.txt} +0 -0
  21. eval/{samples.test.hyp.sentence_answer.question.asahi417_qg_subjqa.restaurants.txt → samples.test.hyp.sentence_answer.question.lmqg_qg_subjqa.restaurants.txt} +0 -0
  22. eval/{samples.validation.hyp.paragraph_answer.question.asahi417_qg_subjqa.restaurants.txt → samples.validation.hyp.paragraph_answer.question.lmqg_qg_subjqa.restaurants.txt} +0 -0
  23. eval/{samples.validation.hyp.paragraph_sentence.question.asahi417_qg_subjqa.restaurants.txt → samples.validation.hyp.paragraph_sentence.question.lmqg_qg_subjqa.restaurants.txt} +0 -0
  24. eval/{samples.validation.hyp.sentence_answer.question.asahi417_qg_subjqa.restaurants.txt → samples.validation.hyp.sentence_answer.question.lmqg_qg_subjqa.restaurants.txt} +0 -0
  25. eval_ood/{metric.first.sentence.paragraph_answer.question.asahi417_qg_squad.default.json → metric.first.sentence.paragraph_answer.question.lmqg_qg_squad.default.json} +0 -0
  26. eval_ood/{samples.test.hyp.paragraph_answer.question.asahi417_qg_squad.default.txt → samples.test.hyp.paragraph_answer.question.lmqg_qg_squad.default.txt} +0 -0
  27. eval_ood/{samples.validation.hyp.paragraph_answer.question.asahi417_qg_squad.default.txt → samples.validation.hyp.paragraph_answer.question.lmqg_qg_squad.default.txt} +0 -0
  28. trainer_config.json +1 -1
eval/{metric.first.answer.paragraph_answer.question.asahi417_qg_subjqa.restaurants.json → metric.first.answer.paragraph_answer.question.lmqg_qg_subjqa.restaurants.json} RENAMED
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eval/{metric.first.answer.paragraph_sentence.question.asahi417_qg_subjqa.restaurants.json → metric.first.answer.paragraph_sentence.question.lmqg_qg_subjqa.restaurants.json} RENAMED
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eval/{metric.first.answer.sentence_answer.question.asahi417_qg_subjqa.restaurants.json → metric.first.answer.sentence_answer.question.lmqg_qg_subjqa.restaurants.json} RENAMED
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eval/{metric.first.sentence.paragraph_answer.question.asahi417_qg_subjqa.restaurants.json → metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.restaurants.json} RENAMED
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eval/{metric.first.sentence.paragraph_sentence.question.asahi417_qg_subjqa.restaurants.json → metric.first.sentence.paragraph_sentence.question.lmqg_qg_subjqa.restaurants.json} RENAMED
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eval/{metric.first.sentence.sentence_answer.question.asahi417_qg_subjqa.restaurants.json → metric.first.sentence.sentence_answer.question.lmqg_qg_subjqa.restaurants.json} RENAMED
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eval/{metric.last.sentence.paragraph_answer.question.asahi417_qg_subjqa.restaurants.json → metric.last.sentence.paragraph_answer.question.lmqg_qg_subjqa.restaurants.json} RENAMED
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eval/{metric.last.sentence.paragraph_sentence.question.asahi417_qg_subjqa.restaurants.json → metric.last.sentence.paragraph_sentence.question.lmqg_qg_subjqa.restaurants.json} RENAMED
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eval/{metric.last.sentence.sentence_answer.question.asahi417_qg_subjqa.restaurants.json → metric.last.sentence.sentence_answer.question.lmqg_qg_subjqa.restaurants.json} RENAMED
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eval/{metric.long.sentence.paragraph_answer.question.asahi417_qg_subjqa.restaurants.json → metric.long.sentence.paragraph_answer.question.lmqg_qg_subjqa.restaurants.json} RENAMED
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eval/{metric.long.sentence.paragraph_sentence.question.asahi417_qg_subjqa.restaurants.json → metric.long.sentence.paragraph_sentence.question.lmqg_qg_subjqa.restaurants.json} RENAMED
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eval/{metric.long.sentence.sentence_answer.question.asahi417_qg_subjqa.restaurants.json → metric.long.sentence.sentence_answer.question.lmqg_qg_subjqa.restaurants.json} RENAMED
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eval/{metric.middle.sentence.paragraph_answer.question.asahi417_qg_subjqa.restaurants.json → metric.middle.sentence.paragraph_answer.question.lmqg_qg_subjqa.restaurants.json} RENAMED
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eval/{metric.middle.sentence.paragraph_sentence.question.asahi417_qg_subjqa.restaurants.json → metric.middle.sentence.paragraph_sentence.question.lmqg_qg_subjqa.restaurants.json} RENAMED
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eval/{metric.middle.sentence.sentence_answer.question.asahi417_qg_subjqa.restaurants.json → metric.middle.sentence.sentence_answer.question.lmqg_qg_subjqa.restaurants.json} RENAMED
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eval/{metric.short.sentence.paragraph_answer.question.asahi417_qg_subjqa.restaurants.json → metric.short.sentence.paragraph_answer.question.lmqg_qg_subjqa.restaurants.json} RENAMED
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eval/{metric.short.sentence.paragraph_sentence.question.asahi417_qg_subjqa.restaurants.json → metric.short.sentence.paragraph_sentence.question.lmqg_qg_subjqa.restaurants.json} RENAMED
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eval/{metric.short.sentence.sentence_answer.question.asahi417_qg_subjqa.restaurants.json → metric.short.sentence.sentence_answer.question.lmqg_qg_subjqa.restaurants.json} RENAMED
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eval/{samples.test.hyp.paragraph_answer.question.asahi417_qg_subjqa.restaurants.txt → samples.test.hyp.paragraph_answer.question.lmqg_qg_subjqa.restaurants.txt} RENAMED
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eval/{samples.test.hyp.paragraph_sentence.question.asahi417_qg_subjqa.restaurants.txt → samples.test.hyp.paragraph_sentence.question.lmqg_qg_subjqa.restaurants.txt} RENAMED
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eval/{samples.test.hyp.sentence_answer.question.asahi417_qg_subjqa.restaurants.txt → samples.test.hyp.sentence_answer.question.lmqg_qg_subjqa.restaurants.txt} RENAMED
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eval/{samples.validation.hyp.paragraph_answer.question.asahi417_qg_subjqa.restaurants.txt → samples.validation.hyp.paragraph_answer.question.lmqg_qg_subjqa.restaurants.txt} RENAMED
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eval/{samples.validation.hyp.paragraph_sentence.question.asahi417_qg_subjqa.restaurants.txt → samples.validation.hyp.paragraph_sentence.question.lmqg_qg_subjqa.restaurants.txt} RENAMED
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eval/{samples.validation.hyp.sentence_answer.question.asahi417_qg_subjqa.restaurants.txt → samples.validation.hyp.sentence_answer.question.lmqg_qg_subjqa.restaurants.txt} RENAMED
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eval_ood/{metric.first.sentence.paragraph_answer.question.asahi417_qg_squad.default.json → metric.first.sentence.paragraph_answer.question.lmqg_qg_squad.default.json} RENAMED
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eval_ood/{samples.test.hyp.paragraph_answer.question.asahi417_qg_squad.default.txt → samples.test.hyp.paragraph_answer.question.lmqg_qg_squad.default.txt} RENAMED
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eval_ood/{samples.validation.hyp.paragraph_answer.question.asahi417_qg_squad.default.txt → samples.validation.hyp.paragraph_answer.question.lmqg_qg_squad.default.txt} RENAMED
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trainer_config.json CHANGED
@@ -1 +1 @@
1
- {"dataset_path": "asahi417/qg_subjqa", "dataset_name": "restaurants", "input_types": ["paragraph_answer"], "output_types": ["question"], "prefix_types": null, "model": "asahi417/lmqg-bart-base-squad", "max_length": 512, "max_length_output": 32, "epoch": 4, "batch": 32, "lr": 5e-05, "fp16": false, "random_seed": 1, "gradient_accumulation_steps": 2, "label_smoothing": 0.15}
 
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+ {"dataset_path": "lmqg/qg_subjqa", "dataset_name": "restaurants", "input_types": ["paragraph_answer"], "output_types": ["question"], "prefix_types": null, "model": "lmqg/lmqg-bart-base-squad", "max_length": 512, "max_length_output": 32, "epoch": 4, "batch": 32, "lr": 5e-05, "fp16": false, "random_seed": 1, "gradient_accumulation_steps": 2, "label_smoothing": 0.15}