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model update

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+
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+ ---
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+ license: cc-by-4.0
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+ metrics:
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+ - bleu4
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+ - meteor
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+ - rouge-l
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+ - bertscore
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+ - moverscore
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+ language: en
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+ datasets:
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+ - lmqg/qg_squad
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+ pipeline_tag: text2text-generation
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+ tags:
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+ - question generation
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+ widget:
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+ - text: "generate question: <hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records."
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+ example_title: "Question Generation Example 1"
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+ - text: "generate question: Beyonce further expanded her acting career, starring as blues singer <hl> Etta James <hl> in the 2008 musical biopic, Cadillac Records."
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+ example_title: "Question Generation Example 2"
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+ - text: "generate question: Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, <hl> Cadillac Records <hl> ."
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+ example_title: "Question Generation Example 3"
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+ model-index:
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+ - name: lmqg/t5-large-squad-no-paragraph
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+ results:
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+ - task:
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+ name: Text2text Generation
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+ type: text2text-generation
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+ dataset:
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+ name: lmqg/qg_squad
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+ type: default
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+ args: default
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+ metrics:
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+ - name: BLEU4
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+ type: bleu4
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+ value: 0.2536046006088414
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+ - name: ROUGE-L
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+ type: rouge-l
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+ value: 0.5253010159135093
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+ - name: METEOR
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+ type: meteor
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+ value: 0.26280710288012865
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+ - name: BERTScore
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+ type: bertscore
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+ value: 0.908802768433947
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+ - name: MoverScore
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+ type: moverscore
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+ value: 0.6443595152739032
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+ ---
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+
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+ # Language Models Fine-tuning on Question Generation: `lmqg/t5-large-squad-no-paragraph`
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+ This model is fine-tuned version of [t5-large](https://huggingface.co/t5-large) for question generation task on the
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+ [lmqg/qg_squad](https://huggingface.co/datasets/lmqg/qg_squad) (dataset_name: default).
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+ This model is fine-tuned without pargraph information but only the sentence that contains the answer.
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+
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+ ### Overview
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+ - **Language model:** [t5-large](https://huggingface.co/t5-large)
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+ - **Language:** en
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+ - **Training data:** [lmqg/qg_squad](https://huggingface.co/datasets/lmqg/qg_squad) (default)
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+ - **Online Demo:** [https://autoqg.net/](https://autoqg.net/)
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+ - **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
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+ - **Paper:** [TBA](TBA)
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+
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+ ### Usage
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+ ```python
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+
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+ from transformers import pipeline
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+
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+ model_path = 'lmqg/t5-large-squad-no-paragraph'
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+ pipe = pipeline("text2text-generation", model_path)
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+
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+ # Question Generation
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+ input_text = 'generate question: <hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records.'
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+ question = pipe(input_text)
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+ ```
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+
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+ ## Evaluation Metrics
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+
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+
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+ ### Metrics
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+
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+ | Dataset | Type | BLEU4 | ROUGE-L | METEOR | BERTScore | MoverScore | Link |
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+ |:--------|:-----|------:|--------:|-------:|----------:|-----------:|-----:|
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+ | [lmqg/qg_squad](https://huggingface.co/datasets/lmqg/qg_squad) | default | 0.2536046006088414 | 0.5253010159135093 | 0.26280710288012865 | 0.908802768433947 | 0.6443595152739032 | [link](https://huggingface.co/lmqg/t5-large-squad-no-paragraph/raw/main/eval/metric.first.sentence.sentence_answer.question.lmqg_qg_squad.default.json) |
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+
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+
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+
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+
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+ ## Training hyperparameters
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+
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+ The following hyperparameters were used during fine-tuning:
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+ - dataset_path: lmqg/qg_squad
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+ - dataset_name: default
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+ - input_types: ['sentence_answer']
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+ - output_types: ['question']
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+ - prefix_types: ['qg']
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+ - model: t5-large
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+ - max_length: 128
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+ - max_length_output: 32
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+ - epoch: 6
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+ - batch: 16
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+ - lr: 5e-05
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+ - fp16: False
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+ - random_seed: 1
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+ - gradient_accumulation_steps: 4
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+ - label_smoothing: 0.15
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+
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+ The full configuration can be found at [fine-tuning config file](https://huggingface.co/lmqg/t5-large-squad-no-paragraph/raw/main/trainer_config.json).
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+
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+ ## Citation
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+ TBA