Upload matex-privacy-sentinel-v0.1 trained on Modal B200
Browse files- README.md +38 -0
- USAGE.txt +7 -0
- config.json +189 -0
- custom_label_space.json +37 -0
- finetune_summary.json +119 -0
- matex_training_manifest.json +1526 -0
- model.safetensors +3 -0
README.md
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---
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library_name: transformers
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base_model: openai/privacy-filter
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license: apache-2.0
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tags:
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- token-classification
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- privacy
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- pii
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- secrets
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- code-security
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- matex
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datasets:
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- enosislabs/aether-privacy-dataset
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---
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# MaTE X Privacy Sentinel v0.1
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Fine-tuned checkpoint based on OpenAI Privacy Filter for local privacy/security redaction in MaTE X.
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Privacy Filter commit: `f7f00ca7fb869683eb732c010299d901457f19c3`
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Validation span F1: `0.995583`
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Test span F1: `0.989417`
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## Dataset
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`enosislabs/aether-privacy-dataset`
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## Usage
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```bash
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opf --checkpoint . "DATABASE_URL=postgres://demo_user:demo_pass@db.local/matex"
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```
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## Limitation
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This is a privacy/security aid, not a compliance guarantee. Run your own canary evaluation before production.
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USAGE.txt
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Finetuned checkpoint generated by `opf train`.
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Run local inference:
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opf --checkpoint /__modal/volumes/vo-NBB7zc96BBQhlZiNkV8ecx/matex-privacy-sentinel-v0.1 --device cuda "Alice was born on 1990-01-02."
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Run eval:
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opf eval /path/to/eval.jsonl --checkpoint /__modal/volumes/vo-NBB7zc96BBQhlZiNkV8ecx/matex-privacy-sentinel-v0.1 --device cuda
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config.json
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{
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"bidirectional_context": true,
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"bidirectional_left_context": 128,
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"bidirectional_right_context": 128,
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"category_version": "matex_privacy_sentinel_v0_1",
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"default_n_ctx": 128000,
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"encoding": "o200k_base",
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"experts_per_token": 4,
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"head_dim": 64,
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"hidden_size": 640,
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"inference_contract_version": 1,
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"initial_context_length": 4096,
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"intermediate_size": 640,
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"max_position_embeddings": 131072,
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"model_type": "privacy_filter",
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"ner_class_names": [
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"O",
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"B-account_number",
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"I-account_number",
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"E-account_number",
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"S-account_number",
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"B-private_address",
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"I-private_address",
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"E-private_address",
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"S-private_address",
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"B-private_email",
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"I-private_email",
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"E-private_email",
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"S-private_email",
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"B-private_person",
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"I-private_person",
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"E-private_person",
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"S-private_person",
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"B-private_phone",
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"I-private_phone",
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"E-private_phone",
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"S-private_phone",
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"B-private_url",
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"I-private_url",
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"E-private_url",
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"S-private_url",
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"B-private_date",
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"I-private_date",
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"E-private_date",
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"S-private_date",
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"B-secret",
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"I-secret",
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"E-secret",
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"S-secret",
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"B-api_key",
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"I-api_key",
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"E-api_key",
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"S-api_key",
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"B-auth_token",
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"I-auth_token",
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"E-auth_token",
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"S-auth_token",
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"B-session_cookie",
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"I-session_cookie",
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"E-session_cookie",
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"S-session_cookie",
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"B-database_uri",
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"I-database_uri",
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"E-database_uri",
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"S-database_uri",
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"B-cloud_credential",
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"I-cloud_credential",
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"E-cloud_credential",
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"S-cloud_credential",
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"B-private_file_path",
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"I-private_file_path",
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"E-private_file_path",
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"S-private_file_path",
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"B-internal_url",
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"I-internal_url",
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"E-internal_url",
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"S-internal_url",
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"B-workspace_identity",
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"I-workspace_identity",
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"E-workspace_identity",
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"S-workspace_identity",
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"B-customer_data",
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"I-customer_data",
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"E-customer_data",
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"S-customer_data",
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"B-prompt_sensitive",
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"I-prompt_sensitive",
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"E-prompt_sensitive",
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"S-prompt_sensitive",
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"B-agent_memory_sensitive",
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"I-agent_memory_sensitive",
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"E-agent_memory_sensitive",
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"S-agent_memory_sensitive",
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"B-stacktrace_sensitive",
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"I-stacktrace_sensitive",
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"E-stacktrace_sensitive",
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"S-stacktrace_sensitive",
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"B-repo_secret",
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"I-repo_secret",
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"E-repo_secret",
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"S-repo_secret",
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"B-payment_token",
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"I-payment_token",
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"E-payment_token",
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"S-payment_token",
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"B-personal_document_id",
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"I-personal_document_id",
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"E-personal_document_id",
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"S-personal_document_id",
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"B-signing_key",
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"I-signing_key",
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"E-signing_key",
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"S-signing_key",
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"B-oauth_credential",
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"I-oauth_credential",
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"E-oauth_credential",
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"S-oauth_credential",
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"B-webhook_secret",
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"I-webhook_secret",
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"E-webhook_secret",
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"S-webhook_secret",
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"B-certificate_private_key",
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"I-certificate_private_key",
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"E-certificate_private_key",
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"S-certificate_private_key",
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"B-encryption_key",
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"I-encryption_key",
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"E-encryption_key",
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"S-encryption_key",
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"B-service_account",
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"I-service_account",
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"E-service_account",
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"S-service_account",
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"B-connection_credential",
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"I-connection_credential",
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"E-connection_credential",
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"S-connection_credential",
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"B-biometric_identifier",
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"I-biometric_identifier",
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"E-biometric_identifier",
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"S-biometric_identifier"
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],
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"num_attention_heads": 14,
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"num_experts": 128,
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"num_hidden_layers": 8,
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"num_key_value_heads": 2,
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"num_labels": 125,
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"param_dtype": "bfloat16",
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"rope_ntk_alpha": 1.0,
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"rope_ntk_beta": 32.0,
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"rope_scaling_factor": 32.0,
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"rope_theta": 150000,
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"sliding_window": 257,
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"span_class_names": [
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"O",
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"account_number",
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"private_address",
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"private_email",
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"private_person",
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"private_phone",
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"private_url",
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"private_date",
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"secret",
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"api_key",
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"auth_token",
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"session_cookie",
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"database_uri",
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"cloud_credential",
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"private_file_path",
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"internal_url",
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"workspace_identity",
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"customer_data",
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"prompt_sensitive",
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"agent_memory_sensitive",
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"stacktrace_sensitive",
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"repo_secret",
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"payment_token",
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"personal_document_id",
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"signing_key",
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"oauth_credential",
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"webhook_secret",
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"certificate_private_key",
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| 183 |
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"encryption_key",
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"service_account",
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| 185 |
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"connection_credential",
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| 186 |
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"biometric_identifier"
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],
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"vocab_size": 200064
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}
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custom_label_space.json
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{
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"category_version": "matex_privacy_sentinel_v0_1",
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"span_class_names": [
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"O",
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"account_number",
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"private_address",
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"private_email",
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"private_person",
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"private_phone",
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"private_url",
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"private_date",
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"secret",
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"api_key",
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"auth_token",
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"session_cookie",
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"database_uri",
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"cloud_credential",
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"private_file_path",
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"internal_url",
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"workspace_identity",
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"customer_data",
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"prompt_sensitive",
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"agent_memory_sensitive",
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"stacktrace_sensitive",
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"repo_secret",
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"payment_token",
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"personal_document_id",
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"signing_key",
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"oauth_credential",
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"webhook_secret",
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"certificate_private_key",
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"encryption_key",
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"service_account",
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"connection_credential",
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"biometric_identifier"
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]
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| 37 |
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}
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finetune_summary.json
ADDED
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@@ -0,0 +1,119 @@
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|
| 1 |
+
{
|
| 2 |
+
"artifacts": {
|
| 3 |
+
"config_json": "/__modal/volumes/vo-NBB7zc96BBQhlZiNkV8ecx/matex-privacy-sentinel-v0.1/config.json",
|
| 4 |
+
"model_safetensors": "/__modal/volumes/vo-NBB7zc96BBQhlZiNkV8ecx/matex-privacy-sentinel-v0.1/model.safetensors",
|
| 5 |
+
"summary_json": "/__modal/volumes/vo-NBB7zc96BBQhlZiNkV8ecx/matex-privacy-sentinel-v0.1/finetune_summary.json"
|
| 6 |
+
},
|
| 7 |
+
"base_checkpoint": "/root/.opf/privacy_filter",
|
| 8 |
+
"batch_size": 64,
|
| 9 |
+
"best_epoch": 3,
|
| 10 |
+
"best_metric": 0.038856602354582756,
|
| 11 |
+
"best_metric_name": "validation_loss",
|
| 12 |
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"checkpoint_category_version": "v2",
|
| 13 |
+
"device": "cuda",
|
| 14 |
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"elapsed_s": 287.018142221,
|
| 15 |
+
"encoding": "o200k_base",
|
| 16 |
+
"epoch_metrics": [
|
| 17 |
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{
|
| 18 |
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"elapsed_s": 96.34647143299999,
|
| 19 |
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"epoch": 1,
|
| 20 |
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"optimizer_steps": 896,
|
| 21 |
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"train_batches": 896,
|
| 22 |
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"train_loss": 0.3105083373637657,
|
| 23 |
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"train_token_accuracy": 0.9289533049033248,
|
| 24 |
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"train_tokens": 5577909,
|
| 25 |
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"validation_batches": 178,
|
| 26 |
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"validation_loss": 0.08936190179288593,
|
| 27 |
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"validation_token_accuracy": 0.9805722578141259,
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| 28 |
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"validation_tokens": 1066722
|
| 29 |
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},
|
| 30 |
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{
|
| 31 |
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"elapsed_s": 94.255017402,
|
| 32 |
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"epoch": 2,
|
| 33 |
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"optimizer_steps": 896,
|
| 34 |
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"train_batches": 896,
|
| 35 |
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"train_loss": 0.0659935026985409,
|
| 36 |
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"train_token_accuracy": 0.9856110954839887,
|
| 37 |
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"train_tokens": 5577909,
|
| 38 |
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"validation_batches": 178,
|
| 39 |
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"validation_loss": 0.05263130810319838,
|
| 40 |
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"validation_token_accuracy": 0.9885255952347471,
|
| 41 |
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"validation_tokens": 1066722
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"elapsed_s": 93.75627164700003,
|
| 45 |
+
"epoch": 3,
|
| 46 |
+
"optimizer_steps": 896,
|
| 47 |
+
"train_batches": 896,
|
| 48 |
+
"train_loss": 0.04346964351969865,
|
| 49 |
+
"train_token_accuracy": 0.9904863991147937,
|
| 50 |
+
"train_tokens": 5577909,
|
| 51 |
+
"validation_batches": 178,
|
| 52 |
+
"validation_loss": 0.038856602354582756,
|
| 53 |
+
"validation_token_accuracy": 0.9912638906856707,
|
| 54 |
+
"validation_tokens": 1066722
|
| 55 |
+
}
|
| 56 |
+
],
|
| 57 |
+
"epochs": 3,
|
| 58 |
+
"generated_at_unix": 1782358439.897962,
|
| 59 |
+
"grad_accum_steps": 1,
|
| 60 |
+
"label_space_json_path": "/__modal/volumes/vo-hrZPBiqGcoK8jg0eZ8vlDK/dataset/configs/custom_label_space.json",
|
| 61 |
+
"label_space_source": "label-space-json",
|
| 62 |
+
"learning_rate": 0.0003,
|
| 63 |
+
"max_grad_norm": 1.0,
|
| 64 |
+
"num_output_labels": 125,
|
| 65 |
+
"num_train_examples": 57316,
|
| 66 |
+
"num_train_windows": 57316,
|
| 67 |
+
"num_validation_examples": 11385,
|
| 68 |
+
"num_validation_windows": 11385,
|
| 69 |
+
"output_checkpoint_dir": "/__modal/volumes/vo-NBB7zc96BBQhlZiNkV8ecx/matex-privacy-sentinel-v0.1",
|
| 70 |
+
"output_head_reinitialized": true,
|
| 71 |
+
"output_head_rows_copied": 125,
|
| 72 |
+
"output_head_rows_copied_exact": 33,
|
| 73 |
+
"output_head_rows_copied_fallback": 92,
|
| 74 |
+
"resolved_category_version": "matex_privacy_sentinel_v0_1",
|
| 75 |
+
"resolved_n_ctx": 1024,
|
| 76 |
+
"schema_version": 1,
|
| 77 |
+
"serialized_param_dtype": "bfloat16",
|
| 78 |
+
"span_class_names": [
|
| 79 |
+
"O",
|
| 80 |
+
"account_number",
|
| 81 |
+
"private_address",
|
| 82 |
+
"private_email",
|
| 83 |
+
"private_person",
|
| 84 |
+
"private_phone",
|
| 85 |
+
"private_url",
|
| 86 |
+
"private_date",
|
| 87 |
+
"secret",
|
| 88 |
+
"api_key",
|
| 89 |
+
"auth_token",
|
| 90 |
+
"session_cookie",
|
| 91 |
+
"database_uri",
|
| 92 |
+
"cloud_credential",
|
| 93 |
+
"private_file_path",
|
| 94 |
+
"internal_url",
|
| 95 |
+
"workspace_identity",
|
| 96 |
+
"customer_data",
|
| 97 |
+
"prompt_sensitive",
|
| 98 |
+
"agent_memory_sensitive",
|
| 99 |
+
"stacktrace_sensitive",
|
| 100 |
+
"repo_secret",
|
| 101 |
+
"payment_token",
|
| 102 |
+
"personal_document_id",
|
| 103 |
+
"signing_key",
|
| 104 |
+
"oauth_credential",
|
| 105 |
+
"webhook_secret",
|
| 106 |
+
"certificate_private_key",
|
| 107 |
+
"encryption_key",
|
| 108 |
+
"service_account",
|
| 109 |
+
"connection_credential",
|
| 110 |
+
"biometric_identifier"
|
| 111 |
+
],
|
| 112 |
+
"train_dataset": "/data/dataset/compiled/train.jsonl",
|
| 113 |
+
"train_dataset_variant": "full",
|
| 114 |
+
"train_head_only": true,
|
| 115 |
+
"validation_dataset": "/data/dataset/compiled/validation.jsonl",
|
| 116 |
+
"validation_dataset_variant": "full",
|
| 117 |
+
"validation_split": null,
|
| 118 |
+
"weight_decay": 0.01
|
| 119 |
+
}
|
matex_training_manifest.json
ADDED
|
@@ -0,0 +1,1526 @@
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| 1 |
+
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|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
+
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|
| 29 |
+
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|
| 30 |
+
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|
| 31 |
+
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|
| 32 |
+
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|
| 33 |
+
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|
| 34 |
+
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|
| 35 |
+
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|
| 36 |
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|
| 37 |
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|
| 38 |
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| 39 |
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| 71 |
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| 77 |
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| 1511 |
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| 1512 |
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|
| 1524 |
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|
| 1525 |
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|
| 1526 |
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}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:97ebe2a7b0b1518be2185ae26c60e74a335c32fe2d2d2724719466ef7dc0eb3d
|
| 3 |
+
size 2799101736
|