{ "architectures": [ "SentinelStageAModel" ], "auto_map": { "AutoConfig": "configuration_sentinel.SentinelConfig", "AutoModel": "modeling_sentinel.SentinelStageAModel" }, "classifier_dropout": 0.1, "custom_pipelines": { "sentinel-stage-a": { "impl": "pipeline_sentinel.SentinelStageAPipeline", "pt": [ "AutoModel" ], "type": "text" } }, "dataset_signature": { "counts": { "dev": 150, "test": 150, "train": 900 }, "distribution": { "dev": { "clean": 8, "risky": 142 }, "test": { "clean": 8, "risky": 142 }, "train": { "clean": 297, "risky": 603 } }, "generator_version": "2026-04-07-final-audit-clear-v1" }, "encoder_code_revision": null, "encoder_config": { "_attn_implementation_autoset": true, "_name_or_path": "answerdotai/ModernBERT-base", "add_cross_attention": false, "architectures": [ "ModernBertForMaskedLM" ], "attention_bias": false, "attention_dropout": 0.0, "bad_words_ids": null, "begin_suppress_tokens": null, "bos_token_id": 50281, "chunk_size_feed_forward": 0, "classifier_activation": "gelu", "classifier_bias": false, "classifier_dropout": 0.0, "classifier_pooling": "mean", "cls_token_id": 50281, "cross_attention_hidden_size": null, "decoder_bias": true, "decoder_start_token_id": null, "deterministic_flash_attn": false, "diversity_penalty": 0.0, "do_sample": false, "early_stopping": false, "embedding_dropout": 0.0, "encoder_no_repeat_ngram_size": 0, "eos_token_id": 50282, "exponential_decay_length_penalty": null, "finetuning_task": null, "forced_bos_token_id": null, "forced_eos_token_id": null, "global_attn_every_n_layers": 3, "global_rope_theta": 160000.0, "gradient_checkpointing": false, "hidden_activation": "gelu", "hidden_size": 768, "id2label": { "0": "LABEL_0", "1": "LABEL_1" }, "initializer_cutoff_factor": 2.0, "initializer_range": 0.02, "intermediate_size": 1152, "is_decoder": false, "is_encoder_decoder": false, "label2id": { "LABEL_0": 0, "LABEL_1": 1 }, "layer_norm_eps": 1e-05, "length_penalty": 1.0, "local_attention": 128, "local_rope_theta": 10000.0, "max_length": 20, "max_position_embeddings": 8192, "min_length": 0, "mlp_bias": false, "mlp_dropout": 0.0, "model_type": "modernbert", "no_repeat_ngram_size": 0, "norm_bias": false, "norm_eps": 1e-05, "num_attention_heads": 12, "num_beam_groups": 1, "num_beams": 1, "num_hidden_layers": 22, "num_return_sequences": 1, "output_attentions": false, "output_hidden_states": false, "output_scores": false, "pad_token_id": 50283, "position_embedding_type": "absolute", "prefix": null, "problem_type": null, "pruned_heads": {}, "reference_compile": null, "remove_invalid_values": false, "repad_logits_with_grad": false, "repetition_penalty": 1.0, "return_dict": true, "return_dict_in_generate": false, "sep_token_id": 50282, "sparse_pred_ignore_index": -100, "sparse_prediction": false, "suppress_tokens": null, "task_specific_params": null, "temperature": 1.0, "tf_legacy_loss": false, "tie_encoder_decoder": false, "tie_word_embeddings": true, "tokenizer_class": null, "top_k": 50, "top_p": 1.0, "torch_dtype": "float32", "torchscript": false, "transformers_version": "4.48.3", "typical_p": 1.0, "use_bfloat16": false, "vocab_size": 50368 }, "encoder_config_overrides": {}, "encoder_model_name": "answerdotai/ModernBERT-base", "encoder_revision": null, "encoder_trust_remote_code": false, "head_code": "c", "head_div": 1, "head_dropout": 0.1, "head_mul": 1, "head_skip": true, "head_type": "columnar", "head_variant": "d11", "max_length": 512, "model_key": "sentinel-mb-c-d11", "model_type": "sentinel_stage_a", "model_version": "sentinel-mb-c-d11-20260424", "output_heads": [ "violation", "severity", "domain", "subtype", "jurisdiction", "why", "impacted_principles", "remediation_actions", "content_type", "audience_segment", "detection_difficulty", "aggravating_factors" ], "output_signature": { "aggravating_factors": { "labels": [ "intentional", "reckless", "negligent", "concealment_present", "customer_harm_potential", "financial_benefit_to_respondent", "vulnerable_client", "pattern_or_duration" ], "type": "multilabel" }, "audience_segment": { "labels": [ "client", "internal", "prospect_or_investor", "public", "third_party" ], "type": "multiclass" }, "content_type": { "labels": [ "email", "message" ], "type": "multiclass" }, "detection_difficulty": { "labels": [ "obvious", "moderate", "subtle" ], "type": "multiclass" }, "domain": { "labels": [ "performance_claims_forecasting", "investment_advice_suitability", "conflicts_inducements", "marketing_solicitation_advertising", "selective_disclosure_fair_access", "mnpi_insider_trading", "recordkeeping_supervision", "ai_automation_capability_claims", "privacy_confidentiality", "cybersecurity_internal_controls", "employment_favoritism_role_conflict", "aml_and_suspicious_activity", "other_unknown" ], "type": "multiclass" }, "impacted_principles": { "labels": [ "truthful_non_misleading_communications", "balanced_risk_reward_presentation", "no_performance_guarantees_or_promissory_language", "registration_and_scope_of_advice", "duty_of_loyalty_conflict_disclosure", "fair_access_to_material_information", "insider_trading_and_mnpi_controls", "supervision_and_books_records", "privacy_confidentiality_and_secure_handling", "security_control_integrity", "role_separation_and_fair_access_in_academia", "non_coercion_and_no_undue_influence", "accurate_ai_capability_and_human_oversight", "client_vulnerability_and_exploitation_prevention", "aml_and_sanctions_compliance" ], "type": "multilabel" }, "jurisdiction": { "labels": [ "US", "EU", "UK", "Other", "Unknown" ], "type": "multiclass" }, "remediation_actions": { "labels": [ "add_forward_looking_disclaimer", "reframe_as_scenarios_not_expectations", "add_balanced_risk_and_downside_section", "remove_or_soften_guarantee_language", "remove_personalized_recommendations", "add_registered_advice_boundary_language", "disclose_conflicts_and_compensation", "add_fees_costs_and_alternatives_comparison", "use_standardized_approved_performance_materials", "add_performance_methodology_and_gross_net_context", "avoid_selective_disclosure_share_broadly", "escalate_mnpi_to_compliance_and_halt", "keep_discussion_on_retained_channels", "require_formal_preapproval_before_send", "remove_pressure_scarcity_and_use_factual_timeline", "substantiation_or_remove_credibility_claims", "add_testimonial_endorsement_and_rating_disclosure", "make_required_disclosure_clear_and_prominent", "avoid_minimizing_compliance_or_diligence", "clarify_ai_is_assistive_with_human_review", "remove_claims_that_ai_eliminates_risk", "redact_and_minimize_sensitive_data", "use_secure_transfer_and_limit_access", "avoid_sharing_internal_controls_or_sanitize", "route_academic_opportunities_through_institution", "separate_recommendation_letters_from_work", "assess_cost_to_equity_against_client_profile", "flag_for_elder_exploitation_review_and_hold", "assess_sar_filing_obligation_and_escalate", "initiate_breach_notification_review_and_timeline", "remove_provisions_impeding_regulatory_communications" ], "type": "multilabel" }, "severity": { "labels": [ "sev_0_compliant_or_ok", "sev_1_minor", "sev_2_moderate", "sev_3_high" ], "type": "multiclass" }, "subtype": { "labels": [ "speculative_outcomes_unqualified", "implicit_or_explicit_guarantee", "risk_context_omitted_or_unbalanced", "unregistered_personalized_investment_advice", "undisclosed_economic_conflict_or_referral", "pressure_or_coercion", "selective_disclosure", "mnpi_misuse_or_encouragement", "recordkeeping_or_preapproval_evasion", "ai_autonomy_or_safety_overstatement", "credentials_validation_or_compliance_misrepresentation", "confidential_data_leakage", "internal_controls_or_exception_process_leakage", "academic_commercial_role_blurring_or_quid_pro_quo", "improper_solicitation_offering_pressure", "excessive_trading_or_account_churning", "product_switching_without_cost_benefit_analysis", "dual_registrant_capacity_or_wrap_fee_conflict_confusion", "elder_exploitation_or_vulnerable_client_signal", "suspicious_activity_indicator_or_structuring", "influencer_or_social_media_promotion_compliance_failure", "crypto_asset_misrepresentation_or_inadequate_disclosure", "other_unknown" ], "type": "multiclass" }, "violation": { "type": "binary" }, "why": { "labels": [ "forward_looking_statement_unqualified", "guarantee_or_assurance_language", "omits_material_risk_or_downside", "implies_downside_protection_or_no_drawdown", "cherry_picks_performance_period", "omits_performance_methodology_or_gross_net_context", "personalized_trade_or_allocation_recommendation", "timing_or_sizing_guidance", "creates_implied_advisory_relationship", "conflict_not_disclosed", "referral_relationship_not_disclosed", "omits_fees_costs_or_reasonably_available_alternatives", "selective_private_performance_or_fundraising_update", "off_the_record_or_not_in_writing_language", "mnpi_possession_indicated", "encourages_action_before_public_release", "avoid_recordkeeping_channel_shift", "bypasses_required_preapproval", "pressure_scarcity_urgency", "unsubstantiated_social_proof_or_validation", "omits_testimonial_endorsement_or_rating_disclosure", "obscures_required_disclosure_or_form_crs", "minimizes_need_for_diligence_or_compliance", "overstates_ai_capability_or_removes_human_oversight", "claims_compliance_risk_eliminated", "shares_sensitive_personal_or_financial_data", "violates_need_to_know_data_minimization", "shares_sensitive_internal_controls_or_exceptions", "role_power_imbalance_or_favoritism", "excessive_trading_cost_to_equity", "inadequate_customer_profile_or_suitability_basis", "exploits_vulnerable_or_elderly_client", "aml_suspicious_activity_indicator", "omits_switching_costs_and_product_comparison", "conflict_language_understates_actual_relationship", "omits_influencer_compensation_or_affiliation_disclosure", "misrepresents_sipc_or_regulatory_protection_for_crypto", "data_breach_notification_obligation_triggered", "impedes_regulatory_reporting_or_whistleblower_rights" ], "type": "multilabel" } }, "projection_size": 640, "release_alias_of": null, "release_channel": "sentinel-01-pub", "release_repo_id": "AurelexAI/sentinel-01-pub", "thresholds": { "aggravating_factors": 0.4, "impacted_principles": 0.7, "remediation_actions": 0.5, "violation": 0.5, "why": 0.55 }, "tokenizer_class": "PreTrainedTokenizerFast", "torch_dtype": "float32", "trainable_head_params": 14325653, "transformers_version": "4.48.3" }