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epoch float64 | step int64 | batch_size int64 | mean float64 | std float64 | min float64 | p10 float64 | median float64 | p90 float64 | max float64 | pos_frac float64 | sample list | npy string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 1 | 128 | 0.017047 | 0.775201 | -2.222778 | -0.839346 | 0.067886 | 0.85993 | 2.196014 | 0.554688 | [
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-0.009723663330... | margin_outputs/llama-3-8b-base-margin-dpo-hh-helpful/margin_logs/step_0000001.npy |
0.002094 | 2 | 128 | 0.089797 | 1.006395 | -2.361206 | -1.101328 | 0.01598 | 1.286897 | 4.496094 | 0.53125 | [
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-0.0232696... | margin_outputs/llama-3-8b-base-margin-dpo-hh-helpful/margin_logs/step_0000002.npy |
0.004188 | 3 | 128 | -0.032388 | 0.773515 | -2.465088 | -0.909561 | -0.019556 | 0.979462 | 2.309265 | 0.484375 | [
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0.006283 | 4 | 128 | 0.030609 | 0.893515 | -3.530762 | -1.057953 | 0.091167 | 0.989966 | 2.904602 | 0.570313 | [
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0.14412689... | margin_outputs/llama-3-8b-base-margin-dpo-hh-helpful/margin_logs/step_0000004.npy |
0.008377 | 5 | 128 | -0.050211 | 0.960483 | -3.024872 | -1.195706 | -0.152252 | 1.112132 | 2.815125 | 0.453125 | [
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0.010471 | 6 | 128 | -0.134657 | 0.930648 | -2.806885 | -1.108444 | -0.085651 | 0.861555 | 2.882416 | 0.414063 | [
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0.012565 | 7 | 128 | -0.025581 | 0.855947 | -2.219177 | -1.064266 | -0.053612 | 1.07018 | 2.882385 | 0.453125 | [
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2.54617309... | margin_outputs/llama-3-8b-base-margin-dpo-hh-helpful/margin_logs/step_0000007.npy |
0.01466 | 8 | 128 | -0.060818 | 0.993934 | -4.363373 | -1.187152 | -0.011696 | 1.045563 | 2.782501 | 0.484375 | [
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0.016754 | 9 | 128 | -0.012438 | 0.760033 | -1.916946 | -0.90082 | 0 | 0.956418 | 1.972015 | 0.492188 | [
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0.018848 | 10 | 128 | 0.012234 | 0.808233 | -1.839478 | -0.851547 | -0.040756 | 0.966624 | 3.073303 | 0.453125 | [
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0.020942 | 11 | 128 | -0.073159 | 1.031184 | -4.068939 | -1.352559 | -0.041641 | 1.31368 | 2.843414 | 0.4375 | [
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0.023037 | 12 | 128 | 0.041382 | 1.018467 | -4.876587 | -1.017922 | -0.014091 | 1.06097 | 3.939087 | 0.492188 | [
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0.025131 | 13 | 128 | -0.027389 | 0.863139 | -2.611389 | -1.03362 | 0.032406 | 0.922194 | 3.637207 | 0.546875 | [
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0.027225 | 14 | 128 | 0.185544 | 0.921421 | -1.987427 | -0.855402 | 0.017441 | 1.522806 | 2.778046 | 0.523438 | [
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0.... | margin_outputs/llama-3-8b-base-margin-dpo-hh-helpful/margin_logs/step_0000014.npy |
0.029319 | 15 | 128 | -0.126816 | 0.839576 | -3.108917 | -1.183817 | -0.066236 | 0.890967 | 2.48175 | 0.476563 | [
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0.031414 | 16 | 128 | 0.007643 | 0.858264 | -2.728134 | -0.99953 | 0.000217 | 1.036465 | 2.818573 | 0.5 | [
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0.033508 | 17 | 128 | -0.028959 | 0.822581 | -2.456482 | -1.079808 | -0.00013 | 0.883546 | 2.29895 | 0.5 | [
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0.97686767578125... | margin_outputs/llama-3-8b-base-margin-dpo-hh-helpful/margin_logs/step_0000017.npy |
0.035602 | 18 | 128 | -0.146683 | 0.942318 | -4.032288 | -1.419116 | 0.0047 | 0.911044 | 1.819031 | 0.507813 | [
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0.037696 | 19 | 128 | -0.122117 | 0.831148 | -3.920105 | -0.939665 | -0.161316 | 0.867323 | 2.727814 | 0.4375 | [
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0.039791 | 20 | 128 | 0.093017 | 0.971937 | -2.261383 | -0.992494 | 0.041498 | 1.295862 | 3.139404 | 0.539063 | [
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0.041885 | 21 | 128 | 0.03343 | 0.934424 | -2.720703 | -1.241927 | 0.094398 | 1.139926 | 2.619629 | 0.570313 | [
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0.043979 | 22 | 128 | 0.091348 | 0.858859 | -2.692078 | -1.005229 | 0.0313 | 1.080763 | 2.615601 | 0.53125 | [
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0.046073 | 23 | 128 | 0.017162 | 0.908674 | -2.599182 | -1.108276 | 0.07782 | 1.162267 | 2.519836 | 0.5625 | [
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0.048168 | 24 | 128 | 0.106011 | 0.853548 | -2.963745 | -0.749379 | 0.075645 | 0.973672 | 3.318298 | 0.5625 | [
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0.050262 | 25 | 128 | 0.069089 | 0.84372 | -3.246338 | -0.915094 | 0.113178 | 1.04856 | 2.335022 | 0.585938 | [
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0.052356 | 26 | 128 | 0.009409 | 0.911522 | -4.038757 | -0.960324 | -0.01186 | 1.056476 | 3.488647 | 0.476563 | [
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0.05445 | 27 | 128 | 0.056392 | 1.001683 | -2.764191 | -1.243524 | 0.032906 | 1.101851 | 3.994934 | 0.53125 | [
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0.056545 | 28 | 128 | 0.088197 | 0.824338 | -2.680603 | -0.859985 | 0.079594 | 1.097438 | 2.029388 | 0.539063 | [
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0.058639 | 29 | 128 | 0.002812 | 0.873017 | -2.369934 | -1.161716 | 0 | 1.129587 | 2.40271 | 0.492188 | [
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0.134031 | 65 | 128 | 1.091977 | 2.724392 | -9.682007 | -2.171611 | 0.996048 | 4.541795 | 7.142029 | 0.679688 | [
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0.13822 | 67 | 128 | 1.176398 | 3.209452 | -7.528748 | -3.078558 | 1.062494 | 4.886856 | 9.857483 | 0.695313 | [
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0.140314 | 68 | 128 | 1.637804 | 3.993153 | -7.215851 | -3.194542 | 1.217781 | 6.181854 | 16.045044 | 0.65625 | [
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0.142408 | 69 | 128 | 2.039548 | 3.673602 | -9.077698 | -2.081032 | 1.715576 | 6.745148 | 13.517944 | 0.765625 | [
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0.146597 | 71 | 128 | 1.892824 | 4.327759 | -12.447021 | -3.622093 | 1.878674 | 7.918082 | 11.750031 | 0.6875 | [
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0.148691 | 72 | 128 | 2.041577 | 4.004386 | -10.110962 | -2.784296 | 2.049591 | 7.900354 | 11.497314 | 0.671875 | [
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0.150785 | 73 | 128 | 1.939592 | 4.537754 | -14.257751 | -3.078961 | 1.691607 | 7.053464 | 15.24176 | 0.710938 | [
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End of preview.
jackf857/qwen3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.45-s_star-0.2-margin
Per-step margin summary statistics exported from a New-DPO training run.
Source Run
- Model repo id:
jackf857/qwen3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.45-s_star-0.2 - Base model:
jackf857/qwen3-8b-base-sft-ultrachat-4xh200-batch-128 - Training run name:
qwen3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.45-s_star-0.2 - W&B project:
qwen3-new-dpo-ultra-4xh200-batch-128 - Trainer type:
new_dpo - Margin log path:
margin_outputs/llama-3-8b-base-margin-dpo-hh-helpful/margin_logs - Margin log steps:
1 - Margin save full arrays:
True - Published split:
train - Rows:
477
Margin Training Arguments
- beta:
0.01 - f_divergence_type:
reverse_kl - f_alpha_divergence_coef:
1.0 - s_star:
0.2 - eta:
0.1 - q_t (
q_target):0.45
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
{
"HuggingFaceH4/ultrafeedback_binarized": 1.0
}
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