文件列表:

args (0, 2022-08-24)
args\DataTrainingArguments.py (1267, 2022-08-24)
args\ModelArguments.py (520, 2022-08-24)
args\Seq2SeqTrainingArguments.py (534, 2022-08-24)
args\__init__.py (168, 2022-08-24)
data (0, 2022-08-24)
data\data_collator.py (1884, 2022-08-24)
data\make_datasets.py (4597, 2022-08-24)
data\preprocessor.py (7884, 2022-08-24)
inference.py (4532, 2022-08-24)
install_file (0, 2022-08-24)
install_file\rouge_requirements.txt (28, 2022-08-24)
model (0, 2022-08-24)
model\bart_config.py (7416, 2022-08-24)
model\bart_decoder.py (19909, 2022-08-24)
model\bart_encoder.py (11525, 2022-08-24)
model\bart_model.py (12460, 2022-08-24)
model\bart_utils.py (10671, 2022-08-24)
train.py (6069, 2022-08-24)
train_by_torch.py (34259, 2022-08-24)
train_fold.py (5489, 2022-08-24)
utils (0, 2022-08-24)
utils\metric.py (5642, 2022-08-24)
utils\rouge_utils.py (5277, 2022-08-24)
utils\trainer.py (16476, 2022-08-24)

# Paper_abstract_summarization AI hub . # To-Do - [x] code pipeline - Huggingface Trainer / Trainer version - [x] Mecab usable token code - [x] [RL policy learning](https://arxiv.org/pdf/1705.04304.pdf) code - [ ] Rerank - [ ] multilingual(, ) fine-tuning or pretrain --- # Doing * Rerank --- * RL policy learning : Rouge loss * Rerank : beam search , Top 1 25%

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