lmqg
/

bart-large-squad-qg

Text2Text Generation

question generation

Inference Endpoints

Model card Files Files and versions Community

asahi417 commited on May 31, 2022

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@@ -65,6 +65,9 @@ All evaluations were done using our [evaluation script](https://github.com/asahi
 | ------ | -------- | ------ | --------- | ---------- |
 | 26.16  | 53.84    | 27.07  | 91.00     | 64.99      |
 ## Fine-tuning Parameters
 We ran grid search to find the best hyper-parameters and continued fine-tuning until the validation metric decrease.
 The best hyper-parameters can be found [here](https://huggingface.co/asahi417/lmqg-bart-large-squad/raw/main/trainer_config.json), and fine-tuning script is released in [our  repository](https://github.com/asahi417/lm-question-generation).

 | ------ | -------- | ------ | --------- | ---------- |
 | 26.16  | 53.84    | 27.07  | 91.00     | 64.99      |
+- [metric file](https://huggingface.co/asahi417/lmqg-bart-large-squad/raw/main/eval/metric.first.sentence.paragraph_answer.question.asahi417_qg_squad.default.json)
 ## Fine-tuning Parameters
 We ran grid search to find the best hyper-parameters and continued fine-tuning until the validation metric decrease.
 The best hyper-parameters can be found [here](https://huggingface.co/asahi417/lmqg-bart-large-squad/raw/main/trainer_config.json), and fine-tuning script is released in [our  repository](https://github.com/asahi417/lm-question-generation).