t5-large-squad-ae / README.md
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model update
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metadata
license: cc-by-4.0
metrics:
  - bleu4
  - meteor
  - rouge-l
  - bertscore
  - moverscore
language: en
datasets:
  - lmqg/qg_squad
pipeline_tag: text2text-generation
tags:
  - answer extraction
widget:
  - text: >-
      extract answers: <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.
    example_title: Answering Extraction Example 1
  - text: >-
      extract answers: 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. <hl>
    example_title: Answering Extraction Example 2
model-index:
  - name: lmqg/t5-large-squad-ae
    results:
      - task:
          name: Text2text Generation
          type: text2text-generation
        dataset:
          name: lmqg/qg_squad
          type: default
          args: default
        metrics:
          - name: BLEU4 (Answer Extraction)
            type: bleu4_answer_extraction
            value: 55.66
          - name: ROUGE-L (Answer Extraction)
            type: rouge_l_answer_extraction
            value: 69.67
          - name: METEOR (Answer Extraction)
            type: meteor_answer_extraction
            value: 43.06
          - name: BERTScore (Answer Extraction)
            type: bertscore_answer_extraction
            value: 91.91
          - name: MoverScore (Answer Extraction)
            type: moverscore_answer_extraction
            value: 82.82
          - name: AnswerF1Score (Answer Extraction)
            type: answer_f1_score__answer_extraction
            value: 70.41
          - name: AnswerExactMatch (Answer Extraction)
            type: answer_exact_match_answer_extraction
            value: 59.77

Model Card of lmqg/t5-large-squad-ae

This model is fine-tuned version of t5-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/t5-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/t5-large-squad-ae")
output = pipe("extract answers: <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 59.77 default lmqg/qg_squad
AnswerF1Score 70.41 default lmqg/qg_squad
BERTScore 91.91 default lmqg/qg_squad
Bleu_1 65.48 default lmqg/qg_squad
Bleu_2 62.11 default lmqg/qg_squad
Bleu_3 58.71 default lmqg/qg_squad
Bleu_4 55.66 default lmqg/qg_squad
METEOR 43.06 default lmqg/qg_squad
MoverScore 82.82 default lmqg/qg_squad
ROUGE_L 69.67 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: ['ae']
  • model: t5-large
  • max_length: 512
  • max_length_output: 32
  • epoch: 9
  • batch: 4
  • lr: 0.0001
  • fp16: False
  • random_seed: 1
  • gradient_accumulation_steps: 32
  • 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",
}