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wassname/Qwen3-06B_dpo_overtrained
Qwen3-06B_dpo_overtrained is a machine learning model from wassname. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
{'lr': 3e-05, 'weightdecay': 0.0, 'gradientclipval': 10.0, 'idealbatchsize': 16, 'plprecision': 'bf16', 'numworkers': 8, 'dataset': 'HuggingFaceH4/ultrafeedbackbinarized:trainprefs', 'verbose': 2, 'seed': 42, 'patienc…
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Updated Jun 16, 2025
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From the Hugging Face model README
{'lr': 3e-05, 'weight_decay': 0.0, 'gradient_clip_val': 10.0, 'ideal_batch_size': 16, 'pl_precision': 'bf16', 'num_workers': 8, 'dataset': 'HuggingFaceH4/ultrafeedback_binarized:train_prefs', 'verbose': 2, 'seed': 42, 'patience': 3, 'dev': False, 'load_in_4bit': False, 'load_in_8bit': False, 'use_grad_paging': False, 'n_samples': 15000, 'eval_samples': 750, 'max_length': 512, 'max_prompt_length': 450, 'base_model': 'wassname/Qwen3-0.6B-sft', 'batch_size': 4, 'save': True, 'wandb': True, 'collection_layers': 'range(.5,-2)', 'collection_keys_in': ['.*o_proj$', '.*out_proj$', '.*down_proj$'], 'collection_keys_out': ['.*q_proj$', '.*k_proj$', '.*v_proj$', '.*qkv_proj$', '.*gate_proj$', '.*up_proj$'], 'collect_input': True, 'collect_hs': True, 'loss': {'trust_region': 0.0, 'α': 0.3, 'filter_sinks': False, 'eps': 0.0001, 'β': 0.4, 'p': 2, 'use_policy_weights': False, 'inner_policy_weights': False, 'align_method': 'pars_rat', 'norm_before_reduce': False, 'dpo_agg_type': 'ipo', 'clamp_bottom': False, 'use_token_constraint': False, 'detach_ref': True}, 'transform': {}, 'dpo_agg_type': 'ipo', 'use_wpo': False, 'post': {'group_name': 'HuggingFaceH4/ultrafeedback_binarized:train_prefs-Qwen3-0.6B-sft', 'adapter_name': 'hs-None-InnerDPO', 'human_name': 'ReprNIpo l.detach_ref=1 l.trust_region=0', 'short_name': 'ReprNIpo DetRef=1 TruReg=0', 'long_name': 'collect_hs=True innerdpo.detach_ref=True innerdpo.trust_region=0 verbose=2', 'model_fname': 'wassname-Qwen3-06B-sft_hs-None-InnerDPO_HuggingFaceH4ultrafeedback_binarizedtrain_prefs', 'ds_name_train': 'HuggingFaceH4/ultrafeedback_binarized:train_prefs', 'run_fname': 'hs-None-InnerDPO/DetRef=1 TruReg=0/195659', 'save_dir': '/media/wassname/SGIronWolf/projects5/elk/repr-preference-optimization/outputs/HuggingFaceH4/ultrafeedback_binarized:train_prefs-Qwen3-0.6B-sft/wassname-Qwen3-06B-sft_hs-None-InnerDPO_HuggingFaceH4ultrafeedback_binarizedtrain_prefs/2025-06-16_19-56-59', 'ts': '195659'}}
| adapter/distribution_shift | in_domain | alignment_robustness | cross_domain | moral_transfer | orthogonal |
|---|---|---|---|---|---|
| none | 0.752 | 0.495 | 0.67 | 0.521 | 0.427 |
| hs-None-InnerDPO | 0.8 | 0.555 | 0.696 | 0.669 | 0.416 |
Table 1: Absolute accuracy after training with named adapter on ds:alpaca_easy compared to base model `` for various distribution shifts [N=64]: |
genies_preferences-reward_seeking-test[:750]genies_preferences-crt_2-test[:750]genies_preferences-survival_influence-test[:750]genies_preferences-sycophancy_feedback-test[:750]genies_preferences-gender_bias-test[:750]genies_preferences-wrong_arc-test[:750]genies_preferences-punishment_avoidance-test[:750]genies_preferences-sycophancy_mimicry-test[:750]genies_preferences-truthful_qa-test[:750]genies_preferences-sycophancy_answer-test[:750]genies_preferences-unhelpful_alpaca-test[:750]genies_preferences-personality_traits-test[:750]genies_preferences-crt_3-test[:750]genies_preferences-crt_1-test[:750]genies_preferences-spanish_input-test[:750]genies_preferences-word_swap-test[:750]genies_preferences-comma_separated_output-test[:750]genies_preferences-comma_separated_input-test[:750]genies_preferences-ranking_logic-test[:750]genies_preferences-raven_matrices-test[:750]genies_preferences-spanish_output-test[:750]genies_preferences-alpaca_mmlu-test[:750]ethics_expression_preferences-justice-test[:750]ethics_expression_preferences-commonsense-test[:750]medical-dpo-v2-test-data[:750]| ds_name_nice | hs-None-InnerDPO | none |
|---|---|---|
| alignment_robustness (crt_1_test ) | 0.56 | 0.564 |
| alignment_robustness (crt_2_test ) | 0.768 | 0.9 |
| alignment_robustness (crt_3_test ) | 0.516 | 0.296 |
| alignment_robustness (gender_bias_test ) | 0.5 | 0.5 |
| alignment_robustness (personality_traits_test ) | 0.494 | 0.488 |
| alignment_robustness (punishment_avoidance_test ) | 0.627 | 0.555 |
| alignment_robustness (reward_seeking_test ) | 0.645 | 0.563 |
| alignment_robustness (survival_influence_test ) | 0.693 | 0.547 |
| alignment_robustness (sycophancy_answer_test ) | 0.304 | 0.124 |
| alignment_robustness (sycophancy_feedback_test ) | 0.908 | 0.492 |
| alignment_robustness (sycophancy_mimicry_test ) | 0.596 | 0.892 |
| alignment_robustness (truthful_qa_test ) | 0.624 | 0.507 |
| alignment_robustness (unhelpful_alpaca_test ) | 0.094 | 0.214 |
| alignment_robustness (wrong_arc_test ) | 0.352 | 0.232 |
| cross_domain (comma_separated_input_test ) | 0.733 | 0.719 |
| cross_domain (comma_separated_output_test ) | 0.711 | 0.721 |
| cross_domain (ranking_logic_test ) | 0.521 | 0.479 |
| cross_domain (raven_matrices_test ) | 0.605 | 0.688 |
| cross_domain (spanish_input_test ) | 0.792 | 0.691 |
| cross_domain (spanish_output_test ) | 0.725 | 0.668 |
| cross_domain (word_swap_test ) | 0.787 | 0.723 |
| in_domain (alpaca_mmlu_test ) | 0.8 | 0.752 |
| moral_transfer (ethics_commonsense_test ) | 0.751 | 0.597 |
| moral_transfer (ethics_justice_test ) | 0.598 | 0.455 |
| orthogonal (medical_dpo_v2_test_data ) | 0.416 | 0.427 |
| Record entry: |
| in_domain | alignment_robustness | cross_domain | moral_transfer | orthogonal | wandb | nll_cho/ref | |
|---|---|---|---|---|---|---|---|
| 0.8 | 0.555 | 0.696 | 0.669 | 0.416 | None | 1.632 |
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