distilbart).  We just copy alternating layers from `t5-base-qa-qg-hl` and finetune more on the same data. Following table lists other distilled models and their metrics.  | Name                                                                            | BLEU-4  | METEOR  | ROUGE-L | QA-EM  | QA-F1  | |---------------------------------------------------------------------------------|---------|---------|---------|--------|--------| | [distilt5-qg-hl-6-4](https://huggingface.co/valhalla/distilt5-qg-hl-6-4)        | 18.4141 | 24.8417 | 40.3435 | -      | -      | | [distilt5-qa-qg-hl-6-4](https://huggingface.co/valhalla/distilt5-qa-qg-hl-6-4)  | 18.6493 | 24.9685 | 40.5605 | 76.13  | 84.659 | | [distilt5-qg-hl-12-6](https://huggingface.co/valhalla/distilt5-qg-hl-12-6)      | 20.5275 | 26.5010 | 43.2676 | -      | -      | | [distilt5-qa-qg-hl-12-6](https://huggingface.co/valhalla/distilt5-qa-qg-hl-12-6)| 20.6109 | 26.4533 | 43.0895 | 81.61  | 89.831 |   You can play with the model using the inference API. Here's how you can use it  For QG  `generate question: <hl> 42 <hl> is the answer to life, the universe and everything.`  For QA  `question: What is 42 context: 42 is the answer to life, the universe and everything.`  For more deatils see [this](https://github.com/patil-suraj/question_generation) repo.  