model update
Browse files- config.json +1 -1
- eval/metric.first.answer.paragraph_answer.question.asahi417_qg_koquad.default.json +1 -0
- eval/metric.first.sentence.paragraph_answer.question.asahi417_qg_koquad.default.json +1 -0
- eval/samples.test.hyp.paragraph_answer.question.asahi417_qg_koquad.default.txt +0 -0
- eval/samples.validation.hyp.paragraph_answer.question.asahi417_qg_koquad.default.txt +0 -0
- pytorch_model.bin +2 -2
- tokenizer_config.json +1 -1
- trainer_config.json +1 -0
config.json
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{
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"_name_or_path": "lmqg_output/mt5_base_koquad/
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"add_prefix": false,
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"architectures": [
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"MT5ForConditionalGeneration"
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{
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"_name_or_path": "lmqg_output/mt5_base_koquad/model_dpyopu/epoch_5",
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"add_prefix": false,
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"architectures": [
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"MT5ForConditionalGeneration"
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eval/metric.first.answer.paragraph_answer.question.asahi417_qg_koquad.default.json
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{"validation": {"Bleu_1": 0.267044176871021, "Bleu_2": 0.19577023573549263, "Bleu_3": 0.1464199911648199, "Bleu_4": 0.11054146313903628}, "test": {"Bleu_1": 0.2821767683105308, "Bleu_2": 0.2078564195606366, "Bleu_3": 0.15713113529826628, "Bleu_4": 0.12027314975434354}}
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eval/metric.first.sentence.paragraph_answer.question.asahi417_qg_koquad.default.json
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{"validation": {"Bleu_1": 0.30086961233169074, "Bleu_2": 0.2248433246177436, "Bleu_3": 0.17063027166019154, "Bleu_4": 0.130225751097574, "METEOR": 0.3006862407585665, "ROUGE_L": 0.29435376743934133, "BERTScore": 0.8361634797876611, "MoverScore": 0.833513061873034}, "test": {"Bleu_1": 0.2853555946607089, "Bleu_2": 0.21049952002654335, "Bleu_3": 0.15918702896614753, "Bleu_4": 0.12184665382055122, "METEOR": 0.29623847263524816, "ROUGE_L": 0.2856948017709817, "BERTScore": 0.8451586993172961, "MoverScore": 0.8335888774638588}}
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eval/samples.test.hyp.paragraph_answer.question.asahi417_qg_koquad.default.txt
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eval/samples.validation.hyp.paragraph_answer.question.asahi417_qg_koquad.default.txt
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:c5dd87848af1d94709f3672c6fb41d0d105e5fa9c18a5660b93ccff33d43f775
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size 2329666125
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tokenizer_config.json
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{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 0, "additional_special_tokens": null, "special_tokens_map_file": "/home/patrick/.cache/torch/transformers/685ac0ca8568ec593a48b61b0a3c272beee9bc194a3c7241d15dcadb5f875e53.f76030f3ec1b96a8199b2593390c610e76ca8028ef3d24680000619ffb646276", "name_or_path": "lmqg_output/mt5_base_koquad/
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{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 0, "additional_special_tokens": null, "special_tokens_map_file": "/home/patrick/.cache/torch/transformers/685ac0ca8568ec593a48b61b0a3c272beee9bc194a3c7241d15dcadb5f875e53.f76030f3ec1b96a8199b2593390c610e76ca8028ef3d24680000619ffb646276", "name_or_path": "lmqg_output/mt5_base_koquad/model_dpyopu/epoch_5", "sp_model_kwargs": {}, "tokenizer_class": "T5Tokenizer"}
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trainer_config.json
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{"dataset_path": "asahi417/qg_koquad", "dataset_name": "default", "input_types": ["paragraph_answer"], "output_types": ["question"], "prefix_types": null, "model": "google/mt5-base", "max_length": 512, "max_length_output": 32, "epoch": 11, "batch": 4, "lr": 0.0005, "fp16": false, "random_seed": 1, "gradient_accumulation_steps": 16, "label_smoothing": 0.15}
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