| { |
| "base_model": "LiquidAI/LFM2.5-Encoder-230M", |
| "base_model_revision": "0b649ad0c684378b03d4d8304f7577a662ab89bc", |
| "benchmark_exact_match": null, |
| "evaluation_full_parse_exact_match": 0.99921875, |
| "inference": { |
| "acceptance_confidence_threshold": 0.7, |
| "irrelevant_context_masking": true, |
| "issue_threshold": 0.5, |
| "preflight_hazard_guard": true, |
| "risk_threshold": 0.5, |
| "slot_presence_threshold": 0.6, |
| "span_decoder": "guarded_hybrid", |
| "treatment_control_rescue": false |
| }, |
| "max_sequence_length": 512, |
| "model": "PocketTrials Schedule Fallback", |
| "onnx_equivalence_cases": 3, |
| "onnx_equivalence_max_abs_error": 5.7697296142578125e-05, |
| "optional_heads": { |
| "issue": true, |
| "risk": true, |
| "structured_span": true, |
| "window_mode": true |
| }, |
| "preprocessing": { |
| "consensus_policy": "parser-model-consensus-v2", |
| "deterministic_parser_input_must_be_normalized": true, |
| "model_offsets_restored_to_source_text": true, |
| "normalizer": "irrelevant-schedule-context-v1", |
| "normalizer_required": true, |
| "normalizer_source_sha256": "f2d90dd63df2d60a88039d8c8ca42412b0d34cc2d02f33f47132d1bc6073c07a", |
| "preflight_hazard_guard_required": true |
| }, |
| "production_ready": false, |
| "quantization": "fp32", |
| "schema_version": "schedule-parser-schema-v1", |
| "training_dataset_version": "124a405f3d51ccf01a124fe855659af7bcd7b726cd823f66bac56f336ccf81ba", |
| "version": "0.1.0-harness" |
| } |
|
|
