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Hi,
Is there a way (or sample code) to fine-tune the models in pure PyTorch without mmdetection and other dependencies on a custom dataset? Thank you.
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- [ ] create prompt examples
- [ ] improve map layout (see, tests/location_map_test.py)
- [ ] create tool
- [ ] copy from plot tool
- [ ] test if query result contains required columns
- [ …
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In the fine-tuned code, covariates were mentioned, but they were not actually used in the training. Why is this the case? Additionally, various time features were processed during data handling, but t…
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Fine-Tune LLM models with pre-generated RAFT dataset
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I am working on fine-tuning a model and running into a "forgetful" situation I wanted to bring to your attention.
The 2 changes we made to the finetuning Jupyter notebook are:
1) create PyCharm Py…
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**Description**
**This is blocked until all patterns that use search blocks are added.**
Currently the patterns that use search forms are using 3 different styles:
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Lets try …
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Create dataset to finetune
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Could you tell me the specific implementation details of lossless fine-tuning? I don't know how to modify the net to achieve lossless.
llzxz updated
3 weeks ago