artifacts/matched_lab_encoding/scaffold_aware/repeat_1/metrics.json

{
  "task": "scaffold_aware",
  "task_label": "Scaffold-aware",
  "repeat": 1,
  "outer_seed": 123456,
  "device": "cuda",
  "comparison": "Same FPNN trunk; learned 64-dimensional lab embedding versus fixed 23-dimensional one-hot lab vector.",
  "fingerprint": {
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    "n_bits": 2048,
    "use_chirality": true
  },
  "group_column": "scaffold_component_group",
  "n_test_rows": 755,
  "n_test_groups": 72,
  "model_config": {
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    "use_batch_norm": true,
    "num_labs": null,
    "lab_embed_dim": 64,
    "input_dropout": 0.1,
    "input_dim": 2071
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  "training_config": {
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    "lr": 0.0015,
    "weight_decay": 1e-05,
    "patience": 60,
    "warmup_epochs": 15,
    "batch_size": 128,
    "gradient_clip": 1.0
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  "training_seconds": 33.19848270000011,
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}