lmqg / bart-large-squad-ae

huggingface.co
Total runs: 19
24-hour runs: -1
7-day runs: -3
30-day runs: 7
Model's Last Updated: December 10 2022
text-generation

Introduction of bart-large-squad-ae

Model Details of bart-large-squad-ae

Model Card of lmqg/bart-large-squad-ae

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

Overview
Usage
from lmqg import TransformersQG

# initialize model
model = TransformersQG(language="en", model="lmqg/bart-large-squad-ae")

# model prediction
answers = model.generate_a("William Turner was an English painter who specialised in watercolour landscapes")
  • With transformers
from transformers import pipeline

pipe = pipeline("text2text-generation", "lmqg/bart-large-squad-ae")
output = pipe("<hl> Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records. <hl> Her performance in the film received praise from critics, and she garnered several nominations for her portrayal of James, including a Satellite Award nomination for Best Supporting Actress, and a NAACP Image Award nomination for Outstanding Supporting Actress.")
Evaluation
Score Type Dataset
AnswerExactMatch 58.95 default lmqg/qg_squad
AnswerF1Score 69.67 default lmqg/qg_squad
BERTScore 91.93 default lmqg/qg_squad
Bleu_1 65.82 default lmqg/qg_squad
Bleu_2 63.21 default lmqg/qg_squad
Bleu_3 60.73 default lmqg/qg_squad
Bleu_4 58.61 default lmqg/qg_squad
METEOR 41.89 default lmqg/qg_squad
MoverScore 82.41 default lmqg/qg_squad
ROUGE_L 68.96 default lmqg/qg_squad
Training hyperparameters

The following hyperparameters were used during fine-tuning:

  • dataset_path: lmqg/qg_squad
  • dataset_name: default
  • input_types: ['paragraph_sentence']
  • output_types: ['answer']
  • prefix_types: None
  • model: facebook/bart-large
  • max_length: 512
  • max_length_output: 32
  • epoch: 5
  • batch: 32
  • lr: 5e-05
  • fp16: False
  • random_seed: 1
  • gradient_accumulation_steps: 2
  • label_smoothing: 0.15

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 lmqg bart-large-squad-ae on huggingface.co

19
Total runs
-1
24-hour runs
-4
3-day runs
-3
7-day runs
7
30-day runs

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