backup pretrain_runs/development_k400/egotouch/seed17/evidence/update_00000002/checkpoint_1d5ac73c08f40f9dcfce0bc6e031c978e9fd463f9a886baa00a9e5bed91df9b9/job_482958_restart_0_stage_train_target_00000002/evidence_snapshots/update_00000002/checkpoint_1d5ac73c08f40f9dcfce0bc6e031c978e9fd463f9a886baa00a9e5bed91df9b9/job_482958_restart_0_stage_train_target_00000002/experiment.lock.json

pretrain_runs/development_k400/egotouch/seed17/evidence/update_00000002/checkpoint_1d5ac73c08f40f9dcfce0bc6e031c978e9fd463f9a886baa00a9e5bed91df9b9/job_482958_restart_0_stage_train_target_00000002/evidence_snapshots/update_00000002/checkpoint_1d5ac73c08f40f9dcfce0bc6e031c978e9fd463f9a886baa00a9e5bed91df9b9/job_482958_restart_0_stage_train_target_00000002/experiment.lock.json

@@ -0,0 +1 @@
+{"canonical_config":"augmentation:\n  color_jitter:\n    brightness: 0.4\n    contrast: 0.4\n    hue: 0.1\n    probability: 0.8\n    saturation: 0.4\n  grayscale_probability: 0.2\n  horizontal_flip_probability: 0.0\n  random_crop: true\n  temporal_jitter: false\n  version: v1\nbackbone:\n  architecture: hiera_base_16x224\n  checkpoint_sha256: 50ac81f8048019905341c176054c86c85b60ba7e9076e048c1dbe2039e56103d\n  checkpoint_spec_path: configs/backbone/hiera_b_k400_development.yaml\n  declared_pretraining: K400\n  enabled: true\nbackup:\n  enabled: true\n  keep_recent: 2\n  remote_revision_artifact: artifacts/hf_backup_remote.json\n  repo_id: EndeavourDD/touchscale_exp\ncheckpoint:\n  every_updates: 250\nclip_grid:\n  axis: recording_local_integer_ns\n  desired_tick_offsets:\n  - 62500000\n  - 187500000\n  - 312500000\n  - 437500000\n  - 562500000\n  - 687500000\n  - 812500000\n  - 937500000\n  - 1062500000\n  - 1187500000\n  - 1312500000\n  - 1437500000\n  - 1562500000\n  - 1687500000\n  - 1812500000\n  - 1937500000\n  duration_ticks: 2000000000\n  seconds_per_tick_den: 1000000000\n  seconds_per_tick_num: 1\n  stride_ticks: 1000000000\n  token_tick_offsets:\n  - 125000000\n  - 375000000\n  - 625000000\n  - 875000000\n  - 1125000000\n  - 1375000000\n  - 1625000000\n  - 1875000000\ndataset:\n  channels: null\n  id: egotouch\n  target_schemas:\n  - egotouch_bilateral_pressure_21x21\n  view_mode: three\n  view_roles:\n  - ego\n  - wrist_left\n  - wrist_right\ndevelopment_seed: 17\nhead:\n  dataset_id: egotouch\n  tag: egotouch_bilateral_native\nhead_trunk:\n  activation: gelu\n  dropout: 0.0\n  hidden_dim: 512\n  input_dim: 768\ninput:\n  frames: 16\n  height: 224\n  mean:\n  - 0.45\n  - 0.45\n  - 0.45\n  resize_short_side: 256\n  std:\n  - 0.225\n  - 0.225\n  - 0.225\n  width: 224\nloss:\n  beta: 1.0\n  name: smooth_l1\n  reduction_dtype: float32\nmanifest:\n  train_path: manifests/pretrain/egotouch/full/train.jsonl\n  train_sha256: 7ac547a4aa46a979fdfbf5c77b92290a7b9c0e6b607033de47977a289ced4391\n  val_path: manifests/pretrain/egotouch/full/val.jsonl\n  val_sha256: a7481fdda8ba8ea186473dad6d92f02675d59f1f950edc97ba9f26f68dab92ed\nnormalization:\n  artifact_path: artifacts/normalization/egotouch_full.json\n  artifact_sha256: 69196fa3001e6b1124813991ef8f310c80823351a56ad27fc762bfb9ed91951f\n  mode: release_identity\noptimizer:\n  base_lr_at_64_clips: 0.0001\n  betas:\n  - 0.9\n  - 0.95\n  eps: 1.0e-08\n  lr_scaling: linear_by_global_effective_clips\n  name: adamw\n  no_weight_decay:\n  - bias\n  - normalization\n  weight_decay: 0.05\nresult_label: development_k400\nrun_tier: development\nschedule:\n  min_lr: 1.0e-06\n  name: cosine\n  warmup_updates: 1000\nschema_version: 1\nseeds:\n- 17\n- 29\n- 43\nsplit:\n  seed: 20260831\n  val_fraction: 0.1\ntraining:\n  accumulation_steps: 8\n  clips_per_rank_microbatch: 1\n  dataloader_workers_per_rank: 0\n  global_effective_clips: 64\n  gradient_clip_global_norm: 1.0\n  optimizer_updates: 20000\n  persistent_workers: false\n  precision: bfloat16\n  prefetch_factor: null\n  recording_locality_window: 4\n  world_size: 8\nvalidation:\n  checkpoint_metric: mean_native_validation_loss\n  every_updates: 500\n  panel_size: 2048\n  tie_rule: earliest_update_when_abs_delta_le_1e-12\n","experiment_identity":{"backbone_sha256":"50ac81f8048019905341c176054c86c85b60ba7e9076e048c1dbe2039e56103d","config_sha256":"2c86f08395cb9d3996223b7ab488e71c624471739184196551e4ed877c26651b","global_effective_clips":64,"manifest_sha256":"7ac547a4aa46a979fdfbf5c77b92290a7b9c0e6b607033de47977a289ced4391","native_target_schema":"egotouch_bilateral_pressure_21x21","normalization_sha256":"69196fa3001e6b1124813991ef8f310c80823351a56ad27fc762bfb9ed91951f","run_tier":"development","runtime_fingerprint_sha256":"a04188a8c334f2edc8e6187ebf904b3469ad5923609cf6397d1555847da4a89a","seed":17,"source_snapshot_sha256":"fe727c68720970fe4cd1dd8950159296d9fea1e6d5a76012383abe0b4d15d9ce","world_size":8},"experiment_identity_sha256":"0ac64ab8221ce7113d1c671d33558afe2ef977c9400c9f504138d032d0c644f3","schema_version":1}