ianyang66 / ADL2022-HW3

Applied Deep Learning (2022 Fall) at National Taiwan University (NTU) CSIE

Homework 3 - NTU ADL 2022 FALL

Reproduce testing process

bash download.sh
bash ./run.sh /path/to/input.jsonl /path/to/output.jsonl

example:

bash download.sh
bash ./run.sh ./data/public.jsonl ./data/best-sumission.jsonl

Reproduce training process

Training & Evaluation

bash train.sh  /path/to/train.jsonl /path/to/valid.jsonl /path/to/model_output_directory

example:

bash train.sh ./data/train.jsonl ./data/public.jsonl ./best-summarization

Training & Evaluation with my RL algorithm.

Training

bash train_RL.sh /path/to/train.jsonl /path/to/valid.jsonl /path/to/model_output_directory

example:

bash train_RL.sh ./data/train.json ./data/public.jsonl ./ckpt

#### Testing

bash infer_RL.sh /path/to/test.jsonl /path/to/output.jsonl

example:

bash infer_RL.sh ./data/public.jsonl ./data/RL_public_predict.jsonl

Reference

moooooser99/ADL22-HW3

Transformers Summarization