sentinel-01-pub / config.json
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{
"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"
}