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experiment: perform summarisation experiments for baseline language models with differnet techniqes #4

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sripravallikab opened this issue Jun 4, 2023 · 4 comments
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GSoC tasks to be completed by GSoC Student

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@sripravallikab
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Perform summarisation (abstractive) using baseline models (encoder decoder and decoder only) from hugging face and then note the learnings and behaviour.

Different techniques :

  1. 0 shot learning
  2. few shot learning
  3. finetuning

popular models:

  1. t5
  2. bloom
  3. bloomz
  4. GPT
  5. BART
  6. Flan T5
@sripravallikab sripravallikab self-assigned this Jun 4, 2023
@kmehant kmehant added the GSoC tasks to be completed by GSoC Student label Jun 4, 2023
@kmehant
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kmehant commented Jun 4, 2023

@sripravallikab
I'm referring to one of your PR which is relevant to this issue, please keep doing that for your subsequent PRs.
#2

@ViswanathBalla22
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hi @kmehant can I work on this issue

@Shashankss1205
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Can I please get to contribute in this issue as an active contributor for GSOC 2024??
@kmehant and @sripravallikab

@sumana-2705
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hello @kmehant @sripravallikab

I came across your project on abstractive summarization using baseline models and found it very interesting. I would love to contribute to it. Is this project open for GSoC 2025?

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