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lmqg
/
mt5-base-jaquad-qg-ae

Text2Text Generation
Transformers
PyTorch
Japanese
mt5
question generation
answer extraction
Eval Results
Inference Endpoints
Model card Files Community
asahi417 commited on
Commit
9830bbb
•
1 Parent(s): 1592e36

add model

Browse files
Files changed (6) hide show
  1. eval/metric.first.answer.paragraph_answer.question.lmqg_qg_jaquad.default.json +1 -0
  2. eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_jaquad.default.json +1 -0
  3. eval/samples.test.hyp.paragraph_answer.question.lmqg_qg_jaquad.default.txt +0 -0
  4. eval/samples.validation.hyp.paragraph_answer.question.lmqg_qg_jaquad.default.txt +0 -0
  5. tokenizer_config.json +1 -1
  6. trainer_config.json +1 -0
eval/metric.first.answer.paragraph_answer.question.lmqg_qg_jaquad.default.json ADDED
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+ {"validation": {"Bleu_1": 0.5169514991727284, "Bleu_2": 0.39179645513945754, "Bleu_3": 0.31316769939488254, "Bleu_4": 0.2574490482834216}, "test": {"Bleu_1": 0.5552844757424632, "Bleu_2": 0.4351708511694248, "Bleu_3": 0.3568239228730032, "Bleu_4": 0.299773998125106}}
eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_jaquad.default.json ADDED
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+ {"validation": {"Bleu_1": 0.5507138631677749, "Bleu_2": 0.42233453658365344, "Bleu_3": 0.3398634508285363, "Bleu_4": 0.2809474214643933, "METEOR": 0.2741246139352359, "ROUGE_L": 0.49021077431250365, "BERTScore": 0.8024911547532048, "MoverScore": 0.5803509731504769}, "test": {"Bleu_1": 0.5585811236269425, "Bleu_2": 0.437494660650837, "Bleu_3": 0.35877137505222195, "Bleu_4": 0.3011775332002, "METEOR": 0.2882634531494165, "ROUGE_L": 0.5080335061386184, "BERTScore": 0.8100855520616319, "MoverScore": 0.5884824768439435}}
eval/samples.test.hyp.paragraph_answer.question.lmqg_qg_jaquad.default.txt ADDED
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eval/samples.validation.hyp.paragraph_answer.question.lmqg_qg_jaquad.default.txt ADDED
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tokenizer_config.json CHANGED
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  "additional_special_tokens": null,
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  "eos_token": "</s>",
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  "extra_ids": 0,
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- "name_or_path": "lmqg_output/mt5_base_jaquad_answer/best_model",
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  "pad_token": "<pad>",
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  "sp_model_kwargs": {},
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  "special_tokens_map_file": "/home/patrick/.cache/torch/transformers/685ac0ca8568ec593a48b61b0a3c272beee9bc194a3c7241d15dcadb5f875e53.f76030f3ec1b96a8199b2593390c610e76ca8028ef3d24680000619ffb646276",
 
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  "additional_special_tokens": null,
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  "eos_token": "</s>",
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  "extra_ids": 0,
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+ "name_or_path": "lmqg_output/mt5_base_jaquad_answer/model_fxobtp/epoch_5",
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  "pad_token": "<pad>",
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  "sp_model_kwargs": {},
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  "special_tokens_map_file": "/home/patrick/.cache/torch/transformers/685ac0ca8568ec593a48b61b0a3c272beee9bc194a3c7241d15dcadb5f875e53.f76030f3ec1b96a8199b2593390c610e76ca8028ef3d24680000619ffb646276",
trainer_config.json ADDED
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+ {"dataset_path": "lmqg/qg_jaquad", "dataset_name": "default", "input_types": ["paragraph_answer", "paragraph_sentence"], "output_types": ["question", "answer"], "prefix_types": ["qg", "ae"], "model": "google/mt5-base", "max_length": 512, "max_length_output": 32, "epoch": 9, "batch": 32, "lr": 0.001, "fp16": false, "random_seed": 1, "gradient_accumulation_steps": 2, "label_smoothing": 0.15}