Comments (6)
@metric-space i was just about to start work on this. Happy for you to take it!
take the functional approach of breaking down code into multiple functions
Feel free to update the class structure as well, but please do take this approach. The functions are far too large to be testable right now, and I'd like this repo to be closer to a real python package than a "research only" repo.
See #33 for some more changes happening. might be worth branching off of this, or waiting for it to be merged
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@Ben-Epstein thank you for the reply, I think I'll take this on as it'll speed up/solidify my code understanding as well.
Thank you for the heads up, I was almost about to branch off to start a bunch of tests. Saves me potential merge conflicts. Thank you again
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This is third on my priority list as of now, will wait for others to comment before working on this
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this relates to #17
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cool. I like the TRL's trainer a lot.
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In attempt to clean up issues, I'm closing this as WONTDO for now. We can reprioritize for later as needed.
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Related Issues (20)
- training fails at the end when with-tracking is false HOT 1
- E2E training checkpoint saving doesn't work HOT 1
- Minimum system requirements to train HOT 4
- Desiring Retriever Only Inference HOT 2
- Installation: Why 'indomain' and not 'dalm' ? HOT 5
- TypeError: Argument() missing 1 required positional argument: 'default'
- dalm qa-gen toy_data_train.csv doesn't work out of the box. HOT 4
- Eval e2e Rag raising device mismatch error HOT 2
- Reading comprehension synthetic data regex improvements HOT 1
- Update README to document reading comprehension
- CUDA OOM doing reading comprehension on A10 24GB VRAM GPU
- How to run model + finetuned adapter in LlamaIndex or Langchain? HOT 1
- Large values of casual loss HOT 3
- paper released?
- Rag-end2end didn't achieve any improvement in recall score compared to training only with Retriever HOT 4
- DALM installation fails in my python environment. HOT 1
- Installation problem on main branch HOT 1
- cannot import name '_sentencepiece' from partially initialized module 'sentencepiece'
- how to use title question and passage all together while training retriever only HOT 1
- Incorrect pooling BGE model HOT 1
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