Comments (3)
MingLiiii
commented on July 28, 2024
We just read the JSON and save the JSON for the given samples and do not generate any new sentences in the process. So I think you should check the saving command.
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JieDengsc
commented on July 28, 2024
Thanks for your reply, I found out that it was really a saving problem.
Also, can I refer to your sh file configuration for “Train Pre-Experienced Model”?
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MingLiiii
commented on July 28, 2024
Sure, I think 1000 samples for training 1 epoch should be a good starting configuration~
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Related Issues (19)
- Need help: the loss curve is strange. HOT 3
- How to filter code SFT data？ HOT 2
- Questions related to training HOT 5
- Could the Pre-Experienced Model be used in other different dataset? HOT 1
- Any report of time consuming? HOT 1
- 'The training of pre-experienced models is discarded for more efficient usage': that means we can only use base model to do cherry analysis and selection? HOT 1
- batch? HOT 1
- 关于Direct Answer Score sθ(A) HOT 2
- Evaluation reproducibility on benchmarks HOT 4
- how many epochs to train on cherry data? HOT 2
- a confusion about Instruction-Following Difficulty (IFD) scores HOT 2
- a confusion about data_by_IFD HOT 3
- Logic behind IFD score HOT 1
- I plan to apply this method on Llama2, which part of this project needs to be changed to adapt to Llama2? HOT 1
- May I ask if this project is suitable for other large models, such as the Baichuan model, to filter high-quality datasets from other fields HOT 4
- about the paper HOT 1
- Multi-round conversation data set HOT 3
- GPT-4/ChatGPT Evaluation Code HOT 1
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