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pazqwerty

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pazqwerty
File size: 2,153 Bytes
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{
  "tag": "opt4_ubits4_wbits8",
  "script": "opt4_mint_membrane_quant.py",
  "script_sha256_16": "598d76c727a2deea",
  "hf_folder": "opt4_mint_membrane_quant",
  "priority": 1,
  "note": "weights quantized too",
  "phase": 5,
  "n_phases": 10,
  "command": [
    "/usr/bin/python3",
    "-m",
    "torch.distributed.run",
    "--standalone",
    "--nproc_per_node=2",
    "/kaggle/temp/snn_runs/scripts/opt4_mint_membrane_quant.py",
    "--epochs",
    "100",
    "--batch-size",
    "32",
    "--num-bins",
    "16",
    "--event-eval",
    "--no-hf",
    "--no-resume",
    "--data-dir",
    "/kaggle/temp/dvs128_data",
    "--num-classes",
    "11",
    "--bench",
    "--u-bits",
    "4",
    "--w-bits",
    "8"
  ],
  "flags": [
    "--u-bits",
    "4",
    "--w-bits",
    "8"
  ],
  "epochs_requested": 100,
  "epochs_completed": 100,
  "batch_size_per_gpu": 32,
  "num_bins_T": 16,
  "gpus": 2,
  "amp": false,
  "exit_code": 0,
  "status": "ok",
  "duration_s": 372.7,
  "sec_per_epoch": 3.73,
  "started_utc": "2026-08-21T11:52:03.290089+00:00",
  "finished_utc": "2026-08-21T11:58:15.999809+00:00",
  "final_epoch_metrics": {
    "epoch": 100,
    "train_loss": 0.6052705738624232,
    "train_acc": 0.9888475836431226,
    "test_loss": 0.3261908943002874,
    "test_acc": 0.9128787878787878,
    "best_acc": 0.9356060606060606,
    "spike_rates": [
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      0.11016980909249362,
      0.15657009009052725
    ],
    "spikes_per_sample": 278163.11453619914,
    "wall_time_s": 2.233228921890259,
    "timestamp": "2026-08-21T11:57:51.736032+00:00"
  },
  "best": {
    "epoch": 91,
    "test_acc": 0.9356060606060606
  },
  "event_driven": {
    "event_driven_test_acc": 0.9128787878787878,
    "synaptic_ops_per_inference": 217677117.2013889,
    "membrane_bytes_per_inference": 119045.5,
    "u_bits": 4,
    "kshift": 0,
    "w_bits": 8
  },
  "driver_version": 1,
  "zip": {
    "name": "opt4_ubits4_wbits8.zip",
    "files": 312,
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    "MB": 1440.7,
    "sha256": "812a822c4c97a3af3ef4e8c7f4b42c2eb7ff2805b1e5c90e45d4ec56d886afc5"
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}