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we integrate C and A into a new C' in the following form.
C' = [c1, c2, ..., [HL], a1, ..., a|A|, [HL], ..., c|C|]| Model | Bleu 1 | Bleu 2 | Bleu 3 | Bleu 4 | METEOR | ROUGE-L |
|---|---|---|---|---|---|---|
| BART-HLSQG | 34.25 | 27.70 | 22.43 | 18.13 | 23.58 | 36.88 |
| BART-HLSQG-v2 | 39.30 | 32.51 | 26.72 | 22.08 | 24.94 | 41.18 |
pip install -r requirements.txtpython setup_scorer.pypython init_dataset.pyusage: train_seq2seq_lm.py [-h]
[--base_model {facebook/bart-base,facebook/bart-large,t5-small,t5-base,t5-large}]
[-d {squad,squad-nqg}] [--epoch EPOCH] [--lr LR]
[--dev DEV] [--server] [--run_test]
[-fc FROM_CHECKPOINT]
optional arguments:
-h, --help show this help message and exit
--base_model {facebook/bart-base,facebook/bart-large,t5-small,t5-base,t5-large}
-d {squad,squad-nqg}, --dataset {squad,squad-nqg}
--epoch EPOCH
--lr LR
--dev DEV
--server
--run_test
-fc FROM_CHECKPOINT, --from_checkpoint FROM_CHECKPOINTpython train_seq2seq_lm.py --server --base_model YOUR_BASE_MODEL --from_checkpoint FROM_CHECKPOINTcurl --location --request POST 'http://127.0.0.1:5000/' \
--header 'Content-Type: application/x-www-form-urlencoded' \
--data-urlencode 'context=[HL]伊隆·里夫·馬斯克[HL]是一名企業家和商業大亨'{"predict": "哪一個人是一名企業家和商業大亨?"}