Design

This follow-up tests whether direction perturbations should be projected onto the DoRA direction tangent space before applying the grouped exact-answer GSM8K reward update. It keeps the grouped reward setup and plain EGGROLL comparison fixed, then enables tangent projection for the decomposed direction update.

Results

20260803-011912-pretrained_llm_gsm8k_grouped_tangent_sweep_jean_zay-afccaa6

commit: afccaa6

metricvalue
both_success_rate0.3333333333333333
decomposed_lr_direction0.02
decomposed_lr_magnitude0.02
decomposed_lr_magnitude_0_mean_accuracy_gap_decomposed_minus_eggroll-0.003472222170482079
decomposed_lr_magnitude_0_mean_final_accuracy0.026041667442768812
decomposed_lr_magnitude_0_success_rate0.3333333333333333
decomposed_lr_magnitude_0_value0.02
decomposed_lr_magnitude_0_win_rate0
decomposed_mean_accuracy_improvement0.008680556124697128
decomposed_mean_best_accuracy0.03645833395421505
decomposed_mean_final_accuracy0.026041667442768812
decomposed_mean_final_greedy_accuracy0.027777778605620067
decomposed_mean_final_greedy_parseable_rate0.9965277910232544
decomposed_mean_final_parseable_rate0.9774305621782938
decomposed_mean_finite_epoch_fraction1
decomposed_mean_greedy_accuracy_improvement0
decomposed_mean_greedy_parseable_rate_improvement0
decomposed_mean_parseable_rate_improvement0.005208313465118408
decomposed_mean_shaped_epoch_fraction0.3958333333333333
decomposed_mean_train_accuracy0.015950520833333332
decomposed_mean_train_parseable_rate0.970703125
decomposed_median_final_accuracy0.02083333395421505
decomposed_success_rate0.3333333333333333
decomposed_tangent_project_direction1
decomposed_win_rate0
eggroll_mean_accuracy_improvement0.012152778295179209
eggroll_mean_best_accuracy0.038194445272286735
eggroll_mean_final_accuracy0.029513889613250893
eggroll_mean_final_greedy_accuracy0.027777778605620067
eggroll_mean_final_greedy_parseable_rate0.9965277910232544
eggroll_mean_final_parseable_rate0.9809027910232544
eggroll_mean_finite_epoch_fraction1
eggroll_mean_greedy_accuracy_improvement0
eggroll_mean_greedy_parseable_rate_improvement0
eggroll_mean_parseable_rate_improvement0.00868054231007894
eggroll_mean_shaped_epoch_fraction0.4583333333333333
eggroll_mean_train_accuracy0.013997395833333334
eggroll_mean_train_parseable_rate0.9710286458333334
eggroll_median_final_accuracy0.026041666977107525
eggroll_success_rate0.3333333333333333
epochs8
eval_samples96
generations_per_prompt8
mean_accuracy_gap_decomposed_minus_eggroll-0.003472222170482079
mean_greedy_accuracy_gap_decomposed_minus_eggroll0
mean_greedy_improvement_gap_decomposed_minus_eggroll0
mean_improvement_gap_decomposed_minus_eggroll-0.003472222170482079
mean_parseable_gap_decomposed_minus_eggroll-0.0034722288449605307
num_decomposed_lr_magnitudes1
num_pairs6
num_ranks2
num_seeds3
num_target_modules7
population64
prompts_per_epoch8
rank_1_decomposed_success_rate0.3333333333333333
rank_1_decomposed_win_rate0
rank_1_eggroll_success_rate0.3333333333333333
rank_1_mean_accuracy_gap_decomposed_minus_eggroll-0.0034722223257025084
rank_1_mean_greedy_accuracy_gap_decomposed_minus_eggroll0
rank_2_decomposed_success_rate0.3333333333333333
rank_2_decomposed_win_rate0
rank_2_eggroll_success_rate0.3333333333333333
rank_2_mean_accuracy_gap_decomposed_minus_eggroll-0.00347222201526165
rank_2_mean_greedy_accuracy_gap_decomposed_minus_eggroll0
wall_clock_seconds758.6868546763435

Interpretation

Run 20260803-011912-pretrained_llm_gsm8k_grouped_tangent_sweep_jean_zay-afccaa6 does not support tangent projection as a fix. The run stayed finite, but decomposed EGGROLL again trailed plain EGGROLL on sampled final accuracy, with no greedy-accuracy advantage. This reinforces the current conclusion that the grouped GSM8K exact-answer reward is stable but provides no evidence for a decomposed EGGROLL advantage.