research-backup / mbart-large-cc25-koquad-ae

huggingface.co
Total runs: 20
24-hour runs: -2
7-day runs: 0
30-day runs: -3
Model's Last Updated: January 09 2023
text-generation

Introduction of mbart-large-cc25-koquad-ae

Model Details of mbart-large-cc25-koquad-ae

Model Card of lmqg/mbart-large-cc25-koquad-ae

This model is fine-tuned version of facebook/mbart-large-cc25 for answer extraction on the lmqg/qg_koquad (dataset_name: default) via lmqg .

Overview
Usage
from lmqg import TransformersQG

# initialize model
model = TransformersQG(language="ko", model="lmqg/mbart-large-cc25-koquad-ae")

# model prediction
answers = model.generate_a("1990년 영화 《 남부군 》에서 단역으로 영화배우 첫 데뷔에 이어 같은 해 KBS 드라마 《지구인》에서 단역으로 출연하였고 이듬해 MBC 《여명의 눈동자》를 통해 단역으로 출연하였다.")
  • With transformers
from transformers import pipeline

pipe = pipeline("text2text-generation", "lmqg/mbart-large-cc25-koquad-ae")
output = pipe("또한 스피어스는 많은 새로운 여성 아티스트들에게 영향을 끼쳤는데, 대표적으로 데미 로바토, 케이티 페리, 크리스티니아 드바지, 레이디 가가, 리틀 부츠, 셀레나 고메즈 & 더씬, 픽시 로트 이 있다. 2007년 비욘세 놀스는 Total Request Live와의 인터뷰에서 '나는 브리트니를 사랑하고 팬이에요. 특히 새 앨범 Blackout을 좋아해요'라고 말했다. 린제이 로한은 '언제나 브리트니 스피어스에게 영감을 받는다. 학창시절 그녀처럼 타블로이드에 오르기를 꿈꿔왔다'고 말하며 롤 모델로 꼽았다. 스피어스는 현대 음악가들에게 음악적 영감으로 언급되기도 했다. <hl> 마일리 사이러스는 자신의 히트곡 Party in the U.S.A. 가 브리트니에게 영감과 영향을 받은 곡이라고 밝혔다. <hl> 베리 매닐로우의 앨범 15 Minutes 역시 브리트니에게 영감을 얻었다고 언급되었다.")
Evaluation
Score Type Dataset
AnswerExactMatch 79.92 default lmqg/qg_koquad
AnswerF1Score 86.7 default lmqg/qg_koquad
BERTScore 95.67 default lmqg/qg_koquad
Bleu_1 76.79 default lmqg/qg_koquad
Bleu_2 68.63 default lmqg/qg_koquad
Bleu_3 57.06 default lmqg/qg_koquad
Bleu_4 40.87 default lmqg/qg_koquad
METEOR 58.4 default lmqg/qg_koquad
MoverScore 94.72 default lmqg/qg_koquad
ROUGE_L 81.24 default lmqg/qg_koquad
Training hyperparameters

The following hyperparameters were used during fine-tuning:

  • dataset_path: lmqg/qg_koquad
  • dataset_name: default
  • input_types: ['paragraph_sentence']
  • output_types: ['answer']
  • prefix_types: None
  • model: facebook/mbart-large-cc25
  • max_length: 512
  • max_length_output: 32
  • epoch: 10
  • batch: 8
  • lr: 0.0001
  • fp16: False
  • random_seed: 1
  • gradient_accumulation_steps: 8
  • label_smoothing: 0.0

The full configuration can be found at fine-tuning config file .

Citation
@inproceedings{ushio-etal-2022-generative,
    title = "{G}enerative {L}anguage {M}odels for {P}aragraph-{L}evel {Q}uestion {G}eneration",
    author = "Ushio, Asahi  and
        Alva-Manchego, Fernando  and
        Camacho-Collados, Jose",
    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, U.A.E.",
    publisher = "Association for Computational Linguistics",
}

Runs of research-backup mbart-large-cc25-koquad-ae on huggingface.co

20
Total runs
-2
24-hour runs
-1
3-day runs
0
7-day runs
-3
30-day runs

More Information About mbart-large-cc25-koquad-ae huggingface.co Model

More mbart-large-cc25-koquad-ae license Visit here:

https://choosealicense.com/licenses/cc-by-4.0

mbart-large-cc25-koquad-ae huggingface.co

mbart-large-cc25-koquad-ae huggingface.co is an AI model on huggingface.co that provides mbart-large-cc25-koquad-ae's model effect (), which can be used instantly with this research-backup mbart-large-cc25-koquad-ae model. huggingface.co supports a free trial of the mbart-large-cc25-koquad-ae model, and also provides paid use of the mbart-large-cc25-koquad-ae. Support call mbart-large-cc25-koquad-ae model through api, including Node.js, Python, http.

mbart-large-cc25-koquad-ae huggingface.co Url

https://huggingface.co/research-backup/mbart-large-cc25-koquad-ae

research-backup mbart-large-cc25-koquad-ae online free

mbart-large-cc25-koquad-ae huggingface.co is an online trial and call api platform, which integrates mbart-large-cc25-koquad-ae's modeling effects, including api services, and provides a free online trial of mbart-large-cc25-koquad-ae, you can try mbart-large-cc25-koquad-ae online for free by clicking the link below.

research-backup mbart-large-cc25-koquad-ae online free url in huggingface.co:

https://huggingface.co/research-backup/mbart-large-cc25-koquad-ae

mbart-large-cc25-koquad-ae install

mbart-large-cc25-koquad-ae is an open source model from GitHub that offers a free installation service, and any user can find mbart-large-cc25-koquad-ae on GitHub to install. At the same time, huggingface.co provides the effect of mbart-large-cc25-koquad-ae install, users can directly use mbart-large-cc25-koquad-ae installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

mbart-large-cc25-koquad-ae install url in huggingface.co:

https://huggingface.co/research-backup/mbart-large-cc25-koquad-ae

Url of mbart-large-cc25-koquad-ae

mbart-large-cc25-koquad-ae huggingface.co Url

Provider of mbart-large-cc25-koquad-ae huggingface.co

research-backup
ORGANIZATIONS

Other API from research-backup