Search is not available for this dataset
epoch float64 0 1 | step int64 1 681 | batch_size int64 64 64 | mean float64 -0.09 44.3 | std float64 0.29 35.7 | min float64 -64.04 1.76 | p10 float64 -14.9 11.6 | median float64 -0.12 43.2 | p90 float64 0.36 95.2 | max float64 0.64 196 | pos_frac float64 0.39 1 | sample listlengths 64 64 | npy null |
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0.008811 | 7 | 64 | -0.018385 | 0.405478 | -0.971924 | -0.55365 | 0.044855 | 0.459901 | 0.818764 | 0.578125 | [
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0.011747 | 9 | 64 | -0.046751 | 0.405607 | -1.268936 | -0.519833 | -0.026565 | 0.425393 | 0.758232 | 0.46875 | [
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End of preview. Expand in Data Studio
W-61/llama-multi-beta-testing-margin_dpo-hh-helpful-beta-0p1-20260429-085449-margin
Per-step margin summary statistics exported from a Margin-DPO training run.
Source Run
- Model repo id:
None - Base model:
/workspace/dynamic-dpo-v4/base_models/llama-3-8b-base-sft-hh-helpful-4xh200 - Training run name:
llama-multi-beta-testing-margin_dpo-hh-helpful-beta-0p1-20260429-085449 - W&B project:
llama-multi-beta-testing - Trainer type:
margin_dpo - Margin log path:
/workspace/dynamic-dpo-v4/outputs/llama-multi-beta-testing-margin_dpo-hh-helpful-beta-0p1-20260429-085449/margin_logs - Margin log steps:
1 - Margin save full arrays:
False - Published split:
train - Rows:
681
Margin Training Arguments
- beta:
0.1 - f_divergence_type:
reverse_kl - f_alpha_divergence_coef:
1.0
Columns
epochstepbatch_sizemeanstdminp10medianp90maxpos_fracsample(per-example margins for the effective batch on that logged step)npy(optional path to the saved full margin array whenmargin_save_full=true)
Dataset Mixer
{
"Anthropic/hh-rlhf": 1.0
}
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