Download native160/native160_atomic_noise_control_ep3.json from RootAccess4Life/spanmark: direct link, hf CLI and curl.
- Browser
- Download file 36.2 kB
-
https://huggingface.co/RootAccess4Life/spanmark/resolve/main/native160/native160_atomic_noise_control_ep3.json
- Command line
-
hf download hf://RootAccess4Life/spanmark/native160/native160_atomic_noise_control_ep3.json
-
curl -L -o native160_atomic_noise_control_ep3.json https://huggingface.co/RootAccess4Life/spanmark/resolve/main/native160/native160_atomic_noise_control_ep3.json
36.2 kB
| { | |
| "creator": "captain-nemo-from-atlantis", | |
| "plan": { | |
| "creator": "captain-nemo-from-atlantis", | |
| "schema_version": 1, | |
| "registered": "2026-09-09T14:25:00-05:00", | |
| "hypothesis": "Atomic noise arms may peak after their existing epoch-one point; only graded tune curves can establish each arm's best endpoint and plateau.", | |
| "forecast": { | |
| "atomic_noise_control": "Epoch one is likely the best point; expect epochs two and three to fail the >0.0011 improvement rule.", | |
| "atomic_noise_impulse": "Epoch two may recover the one-quantum epoch-one deficit, but a clean-control win is unlikely.", | |
| "atomic_noise_stationary": "Later points are likely to remain tied with or regress from clean epoch one.", | |
| "atomic_noise_impulse_stationary": "Later points are likely to track impulse and remain adverse to clean." | |
| }, | |
| "selection": "Grade every epoch on the deterministic tune slice. Continue an arm while a point beats its running-best score by more than 0.0011. Stop only after two consecutive non-improving grades. Keep the best-scoring endpoint, never select on training loss or dev.", | |
| "first_continuation_epoch": 2, | |
| "cadence_epochs": 1, | |
| "improvement_margin": 0.0011, | |
| "consecutive_failures_to_stop": 2, | |
| "selection_quantity": "graded_tune_score", | |
| "keep": "best_scoring_endpoint_not_last", | |
| "minimum_all_arm_epochs": [ | |
| 2, | |
| 3 | |
| ], | |
| "optimizer_transition": "The retired epoch-one trainer did not serialize optimizer state. Epoch two continues the exact epoch-one model weights with one registered AdamW reset and constant learning rate equal to the measured terminal epoch-one rate; epoch three onward resumes serialized optimizer and AMP scaler state exactly.", | |
| "continuation_lr_source": "All four epoch-one sidecars report terminal learning_rates [8.535533905932703e-06] after 2071 steps of their registered four-epoch cosine schedule.", | |
| "direct_parent_checkpoint": "ckpt/native160_interval_direct_ep8.pt.gz", | |
| "direct_parent_sha256": "1199450ae9ca82ccd3b0cc796a91cf24b2009dc0de269a23dbed53b9f0ca8721", | |
| "direct_parent_attempt": "c41a2350b808", | |
| "fine_checkpoint": "ckpt/xlsr_anchor_full24_resynth_ep2.pt.gz", | |
| "fine_sha256": "26294df7d61823a9e3f72c4f0e896f636c2031950040a54ef7cc91903c8390d5", | |
| "train_manifest": "manifests/ps_train.tsv", | |
| "train_manifest_sha256": "5b4756abb39d2592624bd3eb37a3725cf9c5860a7405c1a901a8452488e42a8a", | |
| "train_labels": "/home/UNT/asp0178/LAB/Projects/localize/ps-lps-localization/taskdata/train_labels/ps_train.npz", | |
| "train_labels_sha256": "4e1b3c34e9dd5198cabcf24cfc9a6979f9fb2876192ea542f5b6f79db97e5976", | |
| "output_root": "/mnt/DATA/coral_atlantis_nemo_20260909/native160_atomic_wave_noise_plateau", | |
| "seed": 1234, | |
| "steps_per_epoch": 2071, | |
| "expected_utterances": 25380, | |
| "expected_frames": 4378719, | |
| "expected_blocks": 558407, | |
| "max_segments": 2400, | |
| "max_batch": 16, | |
| "workers": 8, | |
| "continuation_lr": 8.535533905932703e-06, | |
| "adam_betas": [ | |
| 0.9, | |
| 0.98 | |
| ], | |
| "weight_decay": 0.01, | |
| "gradient_clip": 5.0, | |
| "grad_scale_init": 256.0, | |
| "max_overflow_retries": 5, | |
| "temperature": 0.5, | |
| "primary_auxiliary_weight": 3.981219530105591, | |
| "focal_gamma": 2.0, | |
| "focal_weight": 1.0, | |
| "centerness_weight": 1.0, | |
| "diou_weight": 1.0, | |
| "batch_order_sha256": "20c8480a4300d8e7b420e6b3db2f1f35bd1af0a9f9387faa7dfc93667961a8bd", | |
| "arms": [ | |
| { | |
| "name": "atomic_noise_control", | |
| "mode": "clean", | |
| "probability": 0.0, | |
| "start_checkpoint": "/mnt/DATA/coral_atlantis_nemo_20260909/native160_atomic_wave_noise/atomic_noise_control/native160_atomic_noise_control_ep1.pt.gz", | |
| "start_checkpoint_sha256": "3d6e2f6f900516426b82c8263ce374c47925e7ba5ea5ca3e7706260ca6d3987d", | |
| "start_attempt": "2b151c1491c4", | |
| "epoch_one_score": 0.4282726991, | |
| "epoch_one_eer_160": 3.1582726991 | |
| }, | |
| { | |
| "name": "atomic_noise_impulse", | |
| "mode": "impulse", | |
| "probability": 0.5, | |
| "start_checkpoint": "/mnt/DATA/coral_atlantis_nemo_20260909/native160_atomic_wave_noise/atomic_noise_impulse/native160_atomic_noise_impulse_ep1.pt.gz", | |
| "start_checkpoint_sha256": "c6bc418426c7ae5b34d0472ee1b5d49e9cb0badea74d54a2b52be8e43cf61d37", | |
| "start_attempt": "a6952170449e", | |
| "epoch_one_score": 0.4294293844, | |
| "epoch_one_eer_160": 3.1594293844 | |
| }, | |
| { | |
| "name": "atomic_noise_stationary", | |
| "mode": "stationary", | |
| "probability": 0.5, | |
| "start_checkpoint": "/mnt/DATA/coral_atlantis_nemo_20260909/native160_atomic_wave_noise/atomic_noise_stationary/native160_atomic_noise_stationary_ep1.pt.gz", | |
| "start_checkpoint_sha256": "d2555d89c3c852d30f5ba9cf61d57a209aa8dad234d5051f44a786252f1f1044", | |
| "start_attempt": "21ea1e6becee", | |
| "epoch_one_score": 0.4282726991, | |
| "epoch_one_eer_160": 3.1582726991 | |
| }, | |
| { | |
| "name": "atomic_noise_impulse_stationary", | |
| "mode": "impulse_stationary", | |
| "probability": 0.5, | |
| "start_checkpoint": "/mnt/DATA/coral_atlantis_nemo_20260909/native160_atomic_wave_noise/atomic_noise_impulse_stationary/native160_atomic_noise_impulse_stationary_ep1.pt.gz", | |
| "start_checkpoint_sha256": "a0b967731730efa4d30c7de1e7666a94b0cf1a8432b3ea4e445336c7636a3026", | |
| "start_attempt": "8710693f239d", | |
| "epoch_one_score": 0.4294293844, | |
| "epoch_one_eer_160": 3.1594293844 | |
| } | |
| ], | |
| "augmentation": { | |
| "impulse_fraction_percent": [ | |
| 0.0, | |
| 10.0 | |
| ], | |
| "impulse_gain": 2.0, | |
| "stationary_snr_db": [ | |
| 10.0, | |
| 40.0 | |
| ], | |
| "stationary_notch_bands": 5, | |
| "source_signal_filtering": false, | |
| "full_waveform_before_padding": true, | |
| "sample_epoch_keyed_rng": true, | |
| "augmentation_epoch": "target_epoch_minus_one", | |
| "visit": 0 | |
| }, | |
| "scope": { | |
| "trainable": "the 12 existing native_pool.interval_* tensors only", | |
| "frozen": "30 inherited native tensors, 40 reader tensors, all XLS-R mixture and encoder tensors, and the fine checkpoint", | |
| "coordinate_contract": "full-waveform fixed-length pointwise changes before batch padding; labels and segment counts exact" | |
| }, | |
| "source_sha256": { | |
| "scripts/train_native_atomic_wave_noise_plateau.py": "0df1df73e466dcb70b66f114d174dc2046fce4e9c534db054b9d2e125455c606", | |
| "scripts/stage_native_atomic_wave_noise_plateau.py": "05220a4cd212af21003c44c941a989765cc2c093523fdc17713bf5302b3fe1d0", | |
| "tests/test_native_atomic_wave_noise_plateau.py": "310b10b2de71d7f394a34c9a7be95d0057c7e0fc402430f8503deec322928d8c", | |
| "pslps/atomic_wave_noise.py": "7bbda084d1fbc1970daf8756f82140dc40bdc03505c7e6d7585a759789e36390", | |
| "scripts/train_native_atomic_wave_noise.py": "a0286b9b9fdf51198e4bf90d0b2f6c866cac0b7cb29f09fe45649d164073ad73", | |
| "scripts/train_native_conditional_interval.py": "1452a85b52a2f0c1b0d576c5102ef52adae046f0c14406fdaf45d7b2487e408d", | |
| "scripts/train_native_mixture.py": "ecb1eb43a3169a4076d5b797a3e7b9d66abfaaffcbe51f8e70757d04b6a011b3", | |
| "predict.py": "5726039dbe3005815a70735c2f5d9387177a47d5cd690da767ce79dbea261fea", | |
| "pslps/models.py": "8473f5eef56324fe7669482c31a3b7852a16b654fccb5c54f8a107fc8bcd5f71", | |
| "pslps/native_interval.py": "07cb4708fdacfb38ba8779198e78854af9bbc8df4d1bf364fce27c3309bf2fa5", | |
| "pslps/native_risk.py": "fc219032a636fc5a23d3ffcb32399121c2e2c6372d2421ac293d61617252b68c", | |
| "pslps/data.py": "fbc2b0aa2c265b91237be028671df1255ef1d5b215cb32148adebc7a51890e9d", | |
| "train_xlsr.py": "1da4517da2a0b521cf00de060cdaa60a5673134a9bb1325fd24520ef55b97960" | |
| } | |
| }, | |
| "arm": { | |
| "name": "atomic_noise_control", | |
| "mode": "clean", | |
| "probability": 0.0, | |
| "start_checkpoint": "/mnt/DATA/coral_atlantis_nemo_20260909/native160_atomic_wave_noise/atomic_noise_control/native160_atomic_noise_control_ep1.pt.gz", | |
| "start_checkpoint_sha256": "3d6e2f6f900516426b82c8263ce374c47925e7ba5ea5ca3e7706260ca6d3987d", | |
| "start_attempt": "2b151c1491c4", | |
| "epoch_one_score": 0.4282726991, | |
| "epoch_one_eer_160": 3.1582726991 | |
| }, | |
| "target_epoch": 3, | |
| "plan_sha256": "e79b9370570ec6dfc424ea6ccae66dc279e3b154a305c4406a9d732bce085cf5", | |
| "started": 1788988279.0130842, | |
| "device": "cuda:0", | |
| "cuda_visible_devices": "1", | |
| "selection": "one-epoch graded-tune cadence; stop only after two consecutive points fail to improve running best by >0.0011; keep best; no train/dev selection", | |
| "optimizer_transition": "epoch two resets AdamW/scaler because the retired epoch-one trainer saved no state; epochs three onward resume the prior cadence state exactly", | |
| "start_checkpoint": "/mnt/DATA/coral_atlantis_nemo_20260909/native160_atomic_wave_noise_plateau/atomic_noise_control/epoch_0002/native160_atomic_noise_control_ep2.pt.gz", | |
| "start_checkpoint_sha256": "26b62bf21a4effe5758ad28871844b413dea1aeb1dd24a9fae2cdf53c754293e", | |
| "augmentation_epoch": 2, | |
| "augmentation_schedule": { | |
| "selected_utterances": 0, | |
| "selected_ids_sha256": "4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945" | |
| }, | |
| "preflight": { | |
| "rows": [ | |
| { | |
| "utt_id": "CON_T_0020338", | |
| "n_segments": 114, | |
| "labels_sha256": "0eecc39fcfb0e1dfec29dbfde8d4233772a8a106dcca5d571f820749b82095e1", | |
| "augmentation": { | |
| "version": 1, | |
| "mode": "clean", | |
| "utt_id": "CON_T_0020338", | |
| "probability": 0.0, | |
| "gate": 0.006592986029989922, | |
| "selected": false, | |
| "epoch": 2, | |
| "rng_namespace": "native160-atomic-wave-noise-v1", | |
| "digest_sha256": "37db4d19c1373b133ebede2919e0280c4fbb43fba991cd6c9727cd6a81dcb7a5", | |
| "python_seed": 4024895464996813587, | |
| "numpy_seed": 1052696105, | |
| "source_sha256": "07b7a5b798587b6b8b22f5adbb83466fa4a4cbcbaf9064a5549d37284bcc45b8", | |
| "output_sha256": "07b7a5b798587b6b8b22f5adbb83466fa4a4cbcbaf9064a5549d37284bcc45b8", | |
| "length": 36399, | |
| "changed_samples": 0, | |
| "delta_l2": 0.0, | |
| "stages": {} | |
| } | |
| }, | |
| { | |
| "utt_id": "CON_T_0022606", | |
| "n_segments": 95, | |
| "labels_sha256": "0ae5c58c8e762a5daffba6f45ba6f378b660dab03af01fdfeab81a3ec362fbf0", | |
| "augmentation": { | |
| "version": 1, | |
| "mode": "clean", | |
| "utt_id": "CON_T_0022606", | |
| "probability": 0.0, | |
| "gate": 0.35673875624695073, | |
| "selected": false, | |
| "epoch": 2, | |
| "rng_namespace": "native160-atomic-wave-noise-v1", | |
| "digest_sha256": "bd31f7254ffa10ab7e68bb70393db48af464e379191780626c93011ae46a6c2b", | |
| "python_seed": 13632949286654841003, | |
| "numpy_seed": 2120792944, | |
| "source_sha256": "27d93d4e7eb847446598aca6137623ce78cfabce69c1aacad82978df8b5a29bd", | |
| "output_sha256": "27d93d4e7eb847446598aca6137623ce78cfabce69c1aacad82978df8b5a29bd", | |
| "length": 30366, | |
| "changed_samples": 0, | |
| "delta_l2": 0.0, | |
| "stages": {} | |
| } | |
| }, | |
| { | |
| "utt_id": "CON_T_0001579", | |
| "n_segments": 195, | |
| "labels_sha256": "da2f780acba911c7a2d91b6c45325282abb459cebba1a9155b288cf75e514d12", | |
| "augmentation": { | |
| "version": 1, | |
| "mode": "clean", | |
| "utt_id": "CON_T_0001579", | |
| "probability": 0.0, | |
| "gate": 0.39515945745811676, | |
| "selected": false, | |
| "epoch": 2, | |
| "rng_namespace": "native160-atomic-wave-noise-v1", | |
| "digest_sha256": "927bb20a30f28b435c20f8a22225fd6bf080e565a9428a777d6a105ac6d45ac0", | |
| "python_seed": 10555225908513508163, | |
| "numpy_seed": 1545664674, | |
| "source_sha256": "ab876c5ce680df3178ff644803261a52519dca0dc0cf536435d5e05cddde3684", | |
| "output_sha256": "ab876c5ce680df3178ff644803261a52519dca0dc0cf536435d5e05cddde3684", | |
| "length": 62184, | |
| "changed_samples": 0, | |
| "delta_l2": 0.0, | |
| "stages": {} | |
| } | |
| }, | |
| { | |
| "utt_id": "CON_T_0019495", | |
| "n_segments": 183, | |
| "labels_sha256": "4af761b89f76bad5e0d0b4711d4ca677651602bea7cd4f39e1a9a42c82802ccc", | |
| "augmentation": { | |
| "version": 1, | |
| "mode": "clean", | |
| "utt_id": "CON_T_0019495", | |
| "probability": 0.0, | |
| "gate": 0.12618132894496525, | |
| "selected": false, | |
| "epoch": 2, | |
| "rng_namespace": "native160-atomic-wave-noise-v1", | |
| "digest_sha256": "465c67020599eabe3dfd3cabc1e093ed97278bb70337136196b4f1bdd334ea2f", | |
| "python_seed": 5070040538893904574, | |
| "numpy_seed": 1040006315, | |
| "source_sha256": "b5cb6cd842be9b2dd7c9d54e718435f4d23c5e2ff131e85706fef551db39c764", | |
| "output_sha256": "b5cb6cd842be9b2dd7c9d54e718435f4d23c5e2ff131e85706fef551db39c764", | |
| "length": 58241, | |
| "changed_samples": 0, | |
| "delta_l2": 0.0, | |
| "stages": {} | |
| } | |
| }, | |
| { | |
| "utt_id": "CON_T_0001756", | |
| "n_segments": 156, | |
| "labels_sha256": "9385b6507fe5889516f7b5291f54da65822ee6d784f113c22502b12bdaeeaef2", | |
| "augmentation": { | |
| "version": 1, | |
| "mode": "clean", | |
| "utt_id": "CON_T_0001756", | |
| "probability": 0.0, | |
| "gate": 0.9836811800495926, | |
| "selected": false, | |
| "epoch": 2, | |
| "rng_namespace": "native160-atomic-wave-noise-v1", | |
| "digest_sha256": "5ab6931b84f9db6fde1f2d6adf28c83dc7a7d0e33d54fd744aaf8941ffa2f0a9", | |
| "python_seed": 6536573655579220847, | |
| "numpy_seed": 3726585194, | |
| "source_sha256": "44e628e21d6d80dbe7010b8d1c389422491705b2ab184bc17edaa3c8d4c17183", | |
| "output_sha256": "44e628e21d6d80dbe7010b8d1c389422491705b2ab184bc17edaa3c8d4c17183", | |
| "length": 49864, | |
| "changed_samples": 0, | |
| "delta_l2": 0.0, | |
| "stages": {} | |
| } | |
| }, | |
| { | |
| "utt_id": "CON_T_0021050", | |
| "n_segments": 141, | |
| "labels_sha256": "5da6140e003b564f5bd9beebb7f57e930756a9d62c114cc3e509af4f9f402282", | |
| "augmentation": { | |
| "version": 1, | |
| "mode": "clean", | |
| "utt_id": "CON_T_0021050", | |
| "probability": 0.0, | |
| "gate": 0.9674889101507966, | |
| "selected": false, | |
| "epoch": 2, | |
| "rng_namespace": "native160-atomic-wave-noise-v1", | |
| "digest_sha256": "01263e81bf5611cd500e1db26b98b782c7beb07ed66e787799ad4e7abc8ad09f", | |
| "python_seed": 82822370134725069, | |
| "numpy_seed": 1343102386, | |
| "source_sha256": "b7f113b594f02a4ea47937e0219c7d39445030bd59e61b60a0940dc7b6eeafeb", | |
| "output_sha256": "b7f113b594f02a4ea47937e0219c7d39445030bd59e61b60a0940dc7b6eeafeb", | |
| "length": 44912, | |
| "changed_samples": 0, | |
| "delta_l2": 0.0, | |
| "stages": {} | |
| } | |
| }, | |
| { | |
| "utt_id": "CON_T_0013648", | |
| "n_segments": 202, | |
| "labels_sha256": "9c8a6a005a8cdba391291ccdb81c48d7fa56a8f34e09fcd0eea2af9568a9670a", | |
| "augmentation": { | |
| "version": 1, | |
| "mode": "clean", | |
| "utt_id": "CON_T_0013648", | |
| "probability": 0.0, | |
| "gate": 0.12239206185403662, | |
| "selected": false, | |
| "epoch": 2, | |
| "rng_namespace": "native160-atomic-wave-noise-v1", | |
| "digest_sha256": "872882d3ca3260374a85e91496760a4e2923da2cfc757673184dd188f2e97005", | |
| "python_seed": 9739178040330706999, | |
| "numpy_seed": 1250289940, | |
| "source_sha256": "5e97af5b3354575586bd8187c37749f6cf0a39a2eb151e58241b88f1425bd649", | |
| "output_sha256": "5e97af5b3354575586bd8187c37749f6cf0a39a2eb151e58241b88f1425bd649", | |
| "length": 64344, | |
| "changed_samples": 0, | |
| "delta_l2": 0.0, | |
| "stages": {} | |
| } | |
| }, | |
| { | |
| "utt_id": "CON_T_0004309", | |
| "n_segments": 205, | |
| "labels_sha256": "c8cf3f6719927d55cc7f0074ba2828f9218d8f086d233f553cbf585321915e07", | |
| "augmentation": { | |
| "version": 1, | |
| "mode": "clean", | |
| "utt_id": "CON_T_0004309", | |
| "probability": 0.0, | |
| "gate": 0.46458823785011516, | |
| "selected": false, | |
| "epoch": 2, | |
| "rng_namespace": "native160-atomic-wave-noise-v1", | |
| "digest_sha256": "ab7d228f93538c17b85d14fa3fd4d161bf9e6e99e081d446d8c7b723689f6773", | |
| "python_seed": 12357070952621902871, | |
| "numpy_seed": 3093107962, | |
| "source_sha256": "900480e7b1b27281065627e68d688fe19b358bb0f7ecaa404a8054501aee1bd6", | |
| "output_sha256": "900480e7b1b27281065627e68d688fe19b358bb0f7ecaa404a8054501aee1bd6", | |
| "length": 65340, | |
| "changed_samples": 0, | |
| "delta_l2": 0.0, | |
| "stages": {} | |
| } | |
| } | |
| ], | |
| "labels_preserved": true, | |
| "waveform_lengths_preserved": true | |
| }, | |
| "selected_tensors": 12, | |
| "selected_parameters": 34118, | |
| "selected_names": [ | |
| "native_pool.interval_centerness.bias", | |
| "native_pool.interval_centerness.weight", | |
| "native_pool.interval_extent.bias", | |
| "native_pool.interval_extent.weight", | |
| "native_pool.interval_fusion.bias", | |
| "native_pool.interval_fusion.weight", | |
| "native_pool.interval_projection.0.bias", | |
| "native_pool.interval_projection.0.weight", | |
| "native_pool.interval_projection.1.bias", | |
| "native_pool.interval_projection.1.weight", | |
| "native_pool.interval_spoof.bias", | |
| "native_pool.interval_spoof.weight" | |
| ], | |
| "selected_initial_sha256": "f1c782f1daadd81eba0743c19d0236a465940e38d49c79a10659098c4b054532", | |
| "frozen_live_initial": { | |
| "tensor_count": 492, | |
| "sha256": "53338f40ed58f048bb76e7ca252180ca459462e94ddc93700ca55255dc49c0f4" | |
| }, | |
| "train_utterances": 25380, | |
| "train_frames": 4378719, | |
| "batch_order_sha256": "20c8480a4300d8e7b420e6b3db2f1f35bd1af0a9f9387faa7dfc93667961a8bd", | |
| "first_gradient": { | |
| "native_pool.interval_centerness.bias": 0.011934593319892883, | |
| "native_pool.interval_centerness.weight": 0.13054640591144562, | |
| "native_pool.interval_extent.bias": 0.013401953503489494, | |
| "native_pool.interval_extent.weight": 0.20545713603496552, | |
| "native_pool.interval_fusion.bias": 0.005495898425579071, | |
| "native_pool.interval_fusion.weight": 0.014338319189846516, | |
| "native_pool.interval_projection.0.bias": 0.03037126362323761, | |
| "native_pool.interval_projection.0.weight": 0.022276990115642548, | |
| "native_pool.interval_projection.1.bias": 0.015805495902895927, | |
| "native_pool.interval_projection.1.weight": 0.41997066140174866, | |
| "native_pool.interval_spoof.bias": 0.0002594608813524246, | |
| "native_pool.interval_spoof.weight": 0.0267422404140234 | |
| }, | |
| "frozen_live_final": { | |
| "tensor_count": 492, | |
| "sha256": "53338f40ed58f048bb76e7ca252180ca459462e94ddc93700ca55255dc49c0f4" | |
| }, | |
| "history": [ | |
| { | |
| "epoch": 3, | |
| "batch": 1, | |
| "batches": 2071, | |
| "optimizer_steps_this_epoch": 1, | |
| "objective": 1.1115491390228271, | |
| "native_bce": 0.025791585445404053, | |
| "smooth_eer": 0.01079818606376648, | |
| "spoof_focal": 0.007364713121205568, | |
| "centerness_bce": 0.6296581625938416, | |
| "interval_diou": 0.4057447016239166, | |
| "blocks": 272, | |
| "utterances": 16, | |
| "learning_rates": [ | |
| 8.535533905932703e-06 | |
| ], | |
| "scaler_scale": 512.0, | |
| "overflow_skipped_updates": 0, | |
| "elapsed_seconds": 4.025403261184692, | |
| "cuda_peak_allocated_bytes": 2252846080, | |
| "cuda_peak_reserved_bytes": 2275409920 | |
| }, | |
| { | |
| "epoch": 3, | |
| "batch": 100, | |
| "batches": 2071, | |
| "optimizer_steps_this_epoch": 100, | |
| "objective": 1.1490575568980508, | |
| "native_bce": 0.025287648893620365, | |
| "smooth_eer": 0.008255916036151906, | |
| "spoof_focal": 0.00714460536999365, | |
| "centerness_bce": 0.6376057609177535, | |
| "interval_diou": 0.446150922817078, | |
| "blocks": 27372, | |
| "utterances": 1254, | |
| "learning_rates": [ | |
| 8.535533905932703e-06 | |
| ], | |
| "scaler_scale": 512.0, | |
| "overflow_skipped_updates": 0, | |
| "elapsed_seconds": 65.75910973548889, | |
| "cuda_peak_allocated_bytes": 2424073216, | |
| "cuda_peak_reserved_bytes": 2468347904 | |
| }, | |
| { | |
| "epoch": 3, | |
| "batch": 200, | |
| "batches": 2071, | |
| "optimizer_steps_this_epoch": 200, | |
| "objective": 1.1496442488698335, | |
| "native_bce": 0.02300657745755061, | |
| "smooth_eer": 0.007856409498897371, | |
| "spoof_focal": 0.007243672743513193, | |
| "centerness_bce": 0.638084075431686, | |
| "interval_diou": 0.4500318311187702, | |
| "blocks": 53737, | |
| "utterances": 2501, | |
| "learning_rates": [ | |
| 8.535533905932703e-06 | |
| ], | |
| "scaler_scale": 512.0, | |
| "overflow_skipped_updates": 0, | |
| "elapsed_seconds": 129.25191116333008, | |
| "cuda_peak_allocated_bytes": 2428009472, | |
| "cuda_peak_reserved_bytes": 2468347904 | |
| }, | |
| { | |
| "epoch": 3, | |
| "batch": 300, | |
| "batches": 2071, | |
| "optimizer_steps_this_epoch": 300, | |
| "objective": 1.1494837193752383, | |
| "native_bce": 0.023475899054764916, | |
| "smooth_eer": 0.007973339632652855, | |
| "spoof_focal": 0.0072803101831033345, | |
| "centerness_bce": 0.6375807670605335, | |
| "interval_diou": 0.44940312845709124, | |
| "blocks": 80732, | |
| "utterances": 3761, | |
| "learning_rates": [ | |
| 8.535533905932703e-06 | |
| ], | |
| "scaler_scale": 512.0, | |
| "overflow_skipped_updates": 0, | |
| "elapsed_seconds": 193.43799567222595, | |
| "cuda_peak_allocated_bytes": 2428009472, | |
| "cuda_peak_reserved_bytes": 2468347904 | |
| }, | |
| { | |
| "epoch": 3, | |
| "batch": 400, | |
| "batches": 2071, | |
| "optimizer_steps_this_epoch": 400, | |
| "objective": 1.149907722085439, | |
| "native_bce": 0.022617119705757836, | |
| "smooth_eer": 0.007904782100703634, | |
| "spoof_focal": 0.0070278471891377856, | |
| "centerness_bce": 0.6376873559224856, | |
| "interval_diou": 0.4511047274822091, | |
| "blocks": 107788, | |
| "utterances": 4947, | |
| "learning_rates": [ | |
| 8.535533905932703e-06 | |
| ], | |
| "scaler_scale": 512.0, | |
| "overflow_skipped_updates": 0, | |
| "elapsed_seconds": 258.53399777412415, | |
| "cuda_peak_allocated_bytes": 2428009472, | |
| "cuda_peak_reserved_bytes": 2468347904 | |
| }, | |
| { | |
| "epoch": 3, | |
| "batch": 500, | |
| "batches": 2071, | |
| "optimizer_steps_this_epoch": 500, | |
| "objective": 1.1488569977896388, | |
| "native_bce": 0.022223810242160018, | |
| "smooth_eer": 0.0077824989323982945, | |
| "spoof_focal": 0.007081382525444465, | |
| "centerness_bce": 0.6376565361667104, | |
| "interval_diou": 0.45091143113385806, | |
| "blocks": 134837, | |
| "utterances": 6140, | |
| "learning_rates": [ | |
| 8.535533905932703e-06 | |
| ], | |
| "scaler_scale": 512.0, | |
| "overflow_skipped_updates": 0, | |
| "elapsed_seconds": 324.74241375923157, | |
| "cuda_peak_allocated_bytes": 2428009472, | |
| "cuda_peak_reserved_bytes": 2468347904 | |
| }, | |
| { | |
| "epoch": 3, | |
| "batch": 600, | |
| "batches": 2071, | |
| "optimizer_steps_this_epoch": 600, | |
| "objective": 1.1495086630439952, | |
| "native_bce": 0.0223344855199462, | |
| "smooth_eer": 0.007730976239464433, | |
| "spoof_focal": 0.0071855996951024894, | |
| "centerness_bce": 0.637776813460016, | |
| "interval_diou": 0.45143305033506526, | |
| "blocks": 161752, | |
| "utterances": 7364, | |
| "learning_rates": [ | |
| 8.535533905932703e-06 | |
| ], | |
| "scaler_scale": 512.0, | |
| "overflow_skipped_updates": 0, | |
| "elapsed_seconds": 388.98663306236267, | |
| "cuda_peak_allocated_bytes": 2428009472, | |
| "cuda_peak_reserved_bytes": 2468347904 | |
| }, | |
| { | |
| "epoch": 3, | |
| "batch": 700, | |
| "batches": 2071, | |
| "optimizer_steps_this_epoch": 700, | |
| "objective": 1.1477561655261892, | |
| "native_bce": 0.02255991235888378, | |
| "smooth_eer": 0.007752139301747587, | |
| "spoof_focal": 0.007161122473408276, | |
| "centerness_bce": 0.6375762926487716, | |
| "interval_diou": 0.44959586925016964, | |
| "blocks": 187851, | |
| "utterances": 8633, | |
| "learning_rates": [ | |
| 8.535533905932703e-06 | |
| ], | |
| "scaler_scale": 512.0, | |
| "overflow_skipped_updates": 0, | |
| "elapsed_seconds": 451.352929353714, | |
| "cuda_peak_allocated_bytes": 2428009472, | |
| "cuda_peak_reserved_bytes": 2468347904 | |
| }, | |
| { | |
| "epoch": 3, | |
| "batch": 800, | |
| "batches": 2071, | |
| "optimizer_steps_this_epoch": 800, | |
| "objective": 1.1483222659931438, | |
| "native_bce": 0.0227600026509578, | |
| "smooth_eer": 0.007911308903762503, | |
| "spoof_focal": 0.007168418455267556, | |
| "centerness_bce": 0.6374069907468776, | |
| "interval_diou": 0.44949019616803615, | |
| "blocks": 214954, | |
| "utterances": 9811, | |
| "learning_rates": [ | |
| 8.535533905932703e-06 | |
| ], | |
| "scaler_scale": 512.0, | |
| "overflow_skipped_updates": 0, | |
| "elapsed_seconds": 517.1254694461823, | |
| "cuda_peak_allocated_bytes": 2428009472, | |
| "cuda_peak_reserved_bytes": 2468347904 | |
| }, | |
| { | |
| "epoch": 3, | |
| "batch": 900, | |
| "batches": 2071, | |
| "optimizer_steps_this_epoch": 900, | |
| "objective": 1.1487444970212668, | |
| "native_bce": 0.022852699349149668, | |
| "smooth_eer": 0.007944397032034145, | |
| "spoof_focal": 0.0071375154055646085, | |
| "centerness_bce": 0.6375499744629142, | |
| "interval_diou": 0.449575918925988, | |
| "blocks": 241140, | |
| "utterances": 11036, | |
| "learning_rates": [ | |
| 8.535533905932703e-06 | |
| ], | |
| "scaler_scale": 512.0, | |
| "overflow_skipped_updates": 0, | |
| "elapsed_seconds": 580.994343996048, | |
| "cuda_peak_allocated_bytes": 2428009472, | |
| "cuda_peak_reserved_bytes": 2468347904 | |
| }, | |
| { | |
| "epoch": 3, | |
| "batch": 1000, | |
| "batches": 2071, | |
| "optimizer_steps_this_epoch": 1000, | |
| "objective": 1.1479774663996762, | |
| "native_bce": 0.022735522832804545, | |
| "smooth_eer": 0.00790824511130103, | |
| "spoof_focal": 0.007097179223971338, | |
| "centerness_bce": 0.6374339569184447, | |
| "interval_diou": 0.4492263478928999, | |
| "blocks": 267646, | |
| "utterances": 12295, | |
| "learning_rates": [ | |
| 8.535533905932703e-06 | |
| ], | |
| "scaler_scale": 512.0, | |
| "overflow_skipped_updates": 0, | |
| "elapsed_seconds": 644.1165976524353, | |
| "cuda_peak_allocated_bytes": 2428009472, | |
| "cuda_peak_reserved_bytes": 2468347904 | |
| }, | |
| { | |
| "epoch": 3, | |
| "batch": 1100, | |
| "batches": 2071, | |
| "optimizer_steps_this_epoch": 1100, | |
| "objective": 1.1476532073780434, | |
| "native_bce": 0.02242319368299999, | |
| "smooth_eer": 0.00782706992022202, | |
| "spoof_focal": 0.0070361731309771715, | |
| "centerness_bce": 0.6374084867398382, | |
| "interval_diou": 0.44962407067650484, | |
| "blocks": 295413, | |
| "utterances": 13446, | |
| "learning_rates": [ | |
| 8.535533905932703e-06 | |
| ], | |
| "scaler_scale": 512.0, | |
| "overflow_skipped_updates": 0, | |
| "elapsed_seconds": 710.3886020183563, | |
| "cuda_peak_allocated_bytes": 2428009472, | |
| "cuda_peak_reserved_bytes": 2468347904 | |
| }, | |
| { | |
| "epoch": 3, | |
| "batch": 1200, | |
| "batches": 2071, | |
| "optimizer_steps_this_epoch": 1200, | |
| "objective": 1.1469458525468614, | |
| "native_bce": 0.02237869542614942, | |
| "smooth_eer": 0.00782311838509086, | |
| "spoof_focal": 0.0070259575700464694, | |
| "centerness_bce": 0.6373108290821083, | |
| "interval_diou": 0.4490848193571146, | |
| "blocks": 322663, | |
| "utterances": 14671, | |
| "learning_rates": [ | |
| 8.535533905932703e-06 | |
| ], | |
| "scaler_scale": 512.0, | |
| "overflow_skipped_updates": 0, | |
| "elapsed_seconds": 775.9660649299622, | |
| "cuda_peak_allocated_bytes": 2428009472, | |
| "cuda_peak_reserved_bytes": 2468347904 | |
| }, | |
| { | |
| "epoch": 3, | |
| "batch": 1300, | |
| "batches": 2071, | |
| "optimizer_steps_this_epoch": 1300, | |
| "objective": 1.1463525006752588, | |
| "native_bce": 0.02227171368012286, | |
| "smooth_eer": 0.007816239934510258, | |
| "spoof_focal": 0.007033220140684131, | |
| "centerness_bce": 0.6372820263521649, | |
| "interval_diou": 0.4486473741086634, | |
| "blocks": 349647, | |
| "utterances": 15928, | |
| "learning_rates": [ | |
| 8.535533905932703e-06 | |
| ], | |
| "scaler_scale": 512.0, | |
| "overflow_skipped_updates": 0, | |
| "elapsed_seconds": 840.4806659221649, | |
| "cuda_peak_allocated_bytes": 2428009472, | |
| "cuda_peak_reserved_bytes": 2470445056 | |
| }, | |
| { | |
| "epoch": 3, | |
| "batch": 1400, | |
| "batches": 2071, | |
| "optimizer_steps_this_epoch": 1400, | |
| "objective": 1.1464983230818626, | |
| "native_bce": 0.022285017777810136, | |
| "smooth_eer": 0.007770514430936564, | |
| "spoof_focal": 0.007013541140559184, | |
| "centerness_bce": 0.6373124823481215, | |
| "interval_diou": 0.44895115911628947, | |
| "blocks": 376871, | |
| "utterances": 17119, | |
| "learning_rates": [ | |
| 8.535533905932703e-06 | |
| ], | |
| "scaler_scale": 512.0, | |
| "overflow_skipped_updates": 0, | |
| "elapsed_seconds": 885.6285729408264, | |
| "cuda_peak_allocated_bytes": 2428009472, | |
| "cuda_peak_reserved_bytes": 2470445056 | |
| }, | |
| { | |
| "epoch": 3, | |
| "batch": 1500, | |
| "batches": 2071, | |
| "optimizer_steps_this_epoch": 1500, | |
| "objective": 1.1458282214721256, | |
| "native_bce": 0.022216330911449363, | |
| "smooth_eer": 0.007771347745734207, | |
| "spoof_focal": 0.006990361613162848, | |
| "centerness_bce": 0.6373233462213518, | |
| "interval_diou": 0.4483587424304642, | |
| "blocks": 404204, | |
| "utterances": 18393, | |
| "learning_rates": [ | |
| 8.535533905932703e-06 | |
| ], | |
| "scaler_scale": 512.0, | |
| "overflow_skipped_updates": 0, | |
| "elapsed_seconds": 931.0991387367249, | |
| "cuda_peak_allocated_bytes": 2428009472, | |
| "cuda_peak_reserved_bytes": 2470445056 | |
| }, | |
| { | |
| "epoch": 3, | |
| "batch": 1600, | |
| "batches": 2071, | |
| "optimizer_steps_this_epoch": 1600, | |
| "objective": 1.1460752700324384, | |
| "native_bce": 0.022423207782975366, | |
| "smooth_eer": 0.007857191818860005, | |
| "spoof_focal": 0.007030789713118948, | |
| "centerness_bce": 0.6372689904041559, | |
| "interval_diou": 0.4480710777465516, | |
| "blocks": 431726, | |
| "utterances": 19608, | |
| "learning_rates": [ | |
| 8.535533905932703e-06 | |
| ], | |
| "scaler_scale": 512.0, | |
| "overflow_skipped_updates": 0, | |
| "elapsed_seconds": 976.2796471118927, | |
| "cuda_peak_allocated_bytes": 2428009472, | |
| "cuda_peak_reserved_bytes": 2470445056 | |
| }, | |
| { | |
| "epoch": 3, | |
| "batch": 1700, | |
| "batches": 2071, | |
| "optimizer_steps_this_epoch": 1700, | |
| "objective": 1.1461246453833516, | |
| "native_bce": 0.022634116410101098, | |
| "smooth_eer": 0.007920718300781024, | |
| "spoof_focal": 0.0070590300601724365, | |
| "centerness_bce": 0.6372267993030496, | |
| "interval_diou": 0.4476705824264064, | |
| "blocks": 458750, | |
| "utterances": 20808, | |
| "learning_rates": [ | |
| 8.535533905932703e-06 | |
| ], | |
| "scaler_scale": 512.0, | |
| "overflow_skipped_updates": 0, | |
| "elapsed_seconds": 1023.4676215648651, | |
| "cuda_peak_allocated_bytes": 2428009472, | |
| "cuda_peak_reserved_bytes": 2470445056 | |
| }, | |
| { | |
| "epoch": 3, | |
| "batch": 1800, | |
| "batches": 2071, | |
| "optimizer_steps_this_epoch": 1800, | |
| "objective": 1.1464332385375533, | |
| "native_bce": 0.022657961243315348, | |
| "smooth_eer": 0.007919937801535727, | |
| "spoof_focal": 0.007055543860167335, | |
| "centerness_bce": 0.6372564574329584, | |
| "interval_diou": 0.4479322660797524, | |
| "blocks": 486542, | |
| "utterances": 22003, | |
| "learning_rates": [ | |
| 8.535533905932703e-06 | |
| ], | |
| "scaler_scale": 512.0, | |
| "overflow_skipped_updates": 0, | |
| "elapsed_seconds": 1067.0343775749207, | |
| "cuda_peak_allocated_bytes": 2428009472, | |
| "cuda_peak_reserved_bytes": 2470445056 | |
| }, | |
| { | |
| "epoch": 3, | |
| "batch": 1900, | |
| "batches": 2071, | |
| "optimizer_steps_this_epoch": 1900, | |
| "objective": 1.1460119058017497, | |
| "native_bce": 0.02254102518079787, | |
| "smooth_eer": 0.007899885420784595, | |
| "spoof_focal": 0.007059986891034501, | |
| "centerness_bce": 0.6372656577865113, | |
| "interval_diou": 0.4476940590597923, | |
| "blocks": 513388, | |
| "utterances": 23249, | |
| "learning_rates": [ | |
| 8.535533905932703e-06 | |
| ], | |
| "scaler_scale": 512.0, | |
| "overflow_skipped_updates": 0, | |
| "elapsed_seconds": 1100.7366545200348, | |
| "cuda_peak_allocated_bytes": 2428009472, | |
| "cuda_peak_reserved_bytes": 2470445056 | |
| }, | |
| { | |
| "epoch": 3, | |
| "batch": 2000, | |
| "batches": 2071, | |
| "optimizer_steps_this_epoch": 2000, | |
| "objective": 1.1463359260476864, | |
| "native_bce": 0.022589880682941463, | |
| "smooth_eer": 0.007917902085352747, | |
| "spoof_focal": 0.007050060471135883, | |
| "centerness_bce": 0.6372642456009099, | |
| "interval_diou": 0.4479088340264727, | |
| "blocks": 540524, | |
| "utterances": 24432, | |
| "learning_rates": [ | |
| 8.535533905932703e-06 | |
| ], | |
| "scaler_scale": 1024.0, | |
| "overflow_skipped_updates": 0, | |
| "elapsed_seconds": 1136.5606427192688, | |
| "cuda_peak_allocated_bytes": 2428009472, | |
| "cuda_peak_reserved_bytes": 2470445056 | |
| }, | |
| { | |
| "epoch": 3, | |
| "batch": 2071, | |
| "batches": 2071, | |
| "optimizer_steps_this_epoch": 2071, | |
| "objective": 1.145997759227212, | |
| "native_bce": 0.02265122279829411, | |
| "smooth_eer": 0.00795261577533007, | |
| "spoof_focal": 0.007077802420924206, | |
| "centerness_bce": 0.6372453762894821, | |
| "interval_diou": 0.4473622496065165, | |
| "blocks": 558407, | |
| "utterances": 25380, | |
| "learning_rates": [ | |
| 8.535533905932703e-06 | |
| ], | |
| "scaler_scale": 1024.0, | |
| "overflow_skipped_updates": 0, | |
| "elapsed_seconds": 1159.3395516872406, | |
| "cuda_peak_allocated_bytes": 2428009472, | |
| "cuda_peak_reserved_bytes": 2470445056 | |
| } | |
| ], | |
| "optimizer_steps_this_epoch": 2071, | |
| "optimizer_steps_total": 6213, | |
| "overflow_skipped_updates": 0, | |
| "overflow_events": [], | |
| "native_blocks": 558407, | |
| "bonafide_blocks": 254930, | |
| "spoof_blocks": 303477, | |
| "train_objective": 1.145997759227212, | |
| "train_bce": 0.02265122279829411, | |
| "train_smooth_eer": 0.00795261577533007, | |
| "train_focal": 0.007077802420924206, | |
| "train_centerness": 0.6372453762894821, | |
| "train_diou": 0.4473622496065165, | |
| "training_seconds": 1170.3536667823792, | |
| "selected_movement_from_start_l2": { | |
| "native_pool.interval_projection.0.weight": 0.025445282459259033, | |
| "native_pool.interval_projection.0.bias": 0.0034720050171017647, | |
| "native_pool.interval_projection.1.weight": 0.16955630481243134, | |
| "native_pool.interval_projection.1.bias": 0.0014519895194098353, | |
| "native_pool.interval_spoof.weight": 0.006923007778823376, | |
| "native_pool.interval_spoof.bias": 0.0007415115833282471, | |
| "native_pool.interval_centerness.weight": 0.01066901907324791, | |
| "native_pool.interval_centerness.bias": 9.9928118288517e-05, | |
| "native_pool.interval_extent.weight": 0.020597726106643677, | |
| "native_pool.interval_extent.bias": 0.0002350612194277346, | |
| "native_pool.interval_fusion.weight": 0.0003172019496560097, | |
| "native_pool.interval_fusion.bias": 0.0012408588081598282 | |
| }, | |
| "start_audit": { | |
| "interval_tensors_changed": 12, | |
| "frozen_native_tensors_exact": 30, | |
| "frozen_reader_tensors_exact": 40, | |
| "frozen_encoder_xor_tensors_exact": 384 | |
| }, | |
| "direct_parent_audit": { | |
| "interval_tensors_changed": 12, | |
| "frozen_native_tensors_exact": 30, | |
| "frozen_reader_tensors_exact": 40, | |
| "frozen_encoder_xor_tensors_exact": 384 | |
| }, | |
| "checkpoint": "/mnt/DATA/coral_atlantis_nemo_20260909/native160_atomic_wave_noise_plateau/atomic_noise_control/epoch_0003/native160_atomic_noise_control_ep3.pt.gz", | |
| "checkpoint_sha256": "9f3a6948df5c2aeb850e3a9135867d4ed03f977d51ebcae8416e1bc9a0101c2d", | |
| "trainer_state": "/mnt/DATA/coral_atlantis_nemo_20260909/native160_atomic_wave_noise_plateau/atomic_noise_control/epoch_0003/trainer_state.pt", | |
| "trainer_state_sha256": "96c32bce552e7a63df07f302c2a0d98b2883cfe1291ce9242fa12e2d76de4f72", | |
| "elapsed_seconds": 1261.3596680164337 | |
| } | |