Comments (2)
Thank you for your response.
It seems that i have a mistake about table 3. Now I get it! Great work!
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Hi! Thanks for your question.
- We select examples that are similar to the validation examples (which are also the in-context learning examples) from the training set, and we have the representation data selection baseline presented in table 3
- In machine learning generally, it's prohibited to use any information from test set (including inputs and outputs) as it's basically cheating, and we adhere to this rule by using a small validation set for data selection
Maybe I misunderstood something here.. Let me know if it helps address your question.
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Related Issues (9)
- Does it support baichuan or chatglm? HOT 2
- FileNotFoundError: optimizer.bin and KeyError: 'base_model.model.model.layers.0.self_attn.q_proj.lora_A.default.weight' HOT 2
- What if we have the optim states of specific tasks at the beginning? HOT 2
- step 2 when run "/get_train_lora_grads.sh", load the optimizer.pt error is happend HOT 18
- Are samples used for warmup training and gradient calculation the same? HOT 1
- data selection results HOT 2
- Using Multiple GPUs HOT 3
- Question about running stage 3 script HOT 3
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