acr-engine/data/models_v6/song_to_idx.json · d206f2c91f2d39cfb54d67e8f6b7753715472167 · wanghai-tech / hikoon-ACR · GitLab

Improve confused-case retrieval with sample-level hard weighting · c89ef4f9 ...

Constraint: Must preserve runnable pipeline and record stage evidence before continuing optimization
Rejected: More naive oversampling | Regressed overall and hard-case accuracy in smoke-v4
Confidence: medium
Scope-risk: moderate
Directive: Treat confused and humming_like as separate optimization lanes in future stages
Tested: /usr/local/miniconda3/bin/python train.py --data data/synthetic_v2 --output data/models_v6 --device cpu --epochs 1 --batch-size 6 --dry-run; /usr/local/miniconda3/bin/python -m py_compile train.py src/models/losses.py src/data/dataset.py; /usr/local/miniconda3/bin/python train.py --data data/synthetic_v2 --output data/models_v6 --device cpu --epochs 2 --batch-size 6; /usr/local/miniconda3/bin/python run_demo.py build-index --data data/synthetic_v2 --model data/models_v6/best_model.pt --output data/index_v6 --device cpu; /usr/local/miniconda3/bin/python evaluate.py --data data/synthetic_v2 --model data/models_v6/best_model.pt --index-prefix data/index_v6/reference --split test --device cpu --fast-eval --output-json reports/smoke-v6/synthetic_v2/eval.json; /usr/local/miniconda3/bin/python scripts/generate_artifacts.py --eval-json reports/smoke-v6/synthetic_v2/eval.json --config-json reports/smoke-v6/synthetic_v2/config.json --output-dir reports/smoke-v6/synthetic_v2 --model-version smoke-v6 --data-version synthetic_v2
Not-tested: Real external dataset training run and GPU-scale convergence

authored 2026-06-02 12:20:42 +0800

song_to_idx.json

296 Bytes

Raw
Blame
History
Permalink

{
  "song_0000": 0,
  "song_0001": 1,
  "song_0002": 2,
  "song_0003": 3,
  "song_0004": 4,
  "song_0005": 5,
  "song_0006": 6,
  "song_0007": 7,
  "song_0008": 8,
  "song_0009": 9,
  "song_0010": 10,
  "song_0011": 11,
  "song_0012": 12,
  "song_0013": 13,
  "song_0014": 14,
  "song_0015": 15
}