Comments (3)
same question
from spo.
I also would like to know the number of datasets used for fine-tuning preference models.
Is it also 4k as the SPO?
from spo.
The preference model is fine-tuned using the entire Pick-a-Pic v1 dataset. We may release the training code of Step aware Preference Model in the future.
from spo.
Related Issues (18)
- About 1.5 HOT 1
- How to understand the training loss? HOT 5
- Do you have plans to open-source the weights of the D3PO and DDPO models fine-tuned on your 4,000 prompts from Pick-a-Pic V1? HOT 1
- Questions on validation HOT 2
- Questions on Baseline HOT 1
- Training step-aware scorer HOT 1
- Question about the validation result
- Good job!! Can you provide the preference model training code? HOT 1
- The reproduction results of the released model.
- The issue of the model crashing after training for one epoch.
- Launching inference_spo_sdxl.py does not finish. "1Torch was not compiled with flash attention." HOT 1
- About reward model dataset or reward model HOT 3
- [Qustion] Why SDXL Lora has no effects in stable diffusion webui HOT 2
- Out of memory using default config HOT 2
- About training loss HOT 4
- Lora or full parameter HOT 1
- Will the evaluation benchmark be released? HOT 1
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from spo.