Search is not available for this dataset
epoch float64 0 1 | step int64 1 681 | batch_size int64 64 64 | mean float64 -0.07 8 | std float64 0.27 6.63 | min float64 -9.33 0.39 | p10 float64 -1.52 2.82 | median float64 -0.08 9.25 | p90 float64 0.33 17.1 | max float64 0.61 31.8 | pos_frac float64 0.44 1 | sample listlengths 64 64 | npy null |
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End of preview. Expand in Data Studio
W-61/llama-multi-beta-testing-margin_dpo-hh-helpful-beta-0p8-20260429-085449-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-0p8-20260429-085449 - 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-0p8-20260429-085449/margin_logs - Margin log steps:
1 - Margin save full arrays:
False - Published split:
train - Rows:
681
Margin Training Arguments
- beta:
0.8 - 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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