{
  "source": "Saved outputs from the user-provided Colab T4 run; no training, checkpoint loading, or sampling was executed locally for this update.",
  "notebook": "../diffusion_tut.ipynb",
  "notebook_sha256": "ef53c28d4edc3260dab4b51edcdf7c39eb4dfd5b8a1c0a9bb0dc53f94d7049e0",
  "gpu": "T4",
  "device_output": "cuda",
  "configuration_in_notebook": {
    "image_size": 28,
    "channels": 1,
    "num_classes": 10,
    "batch_size": 128,
    "num_workers": 2,
    "T": 300,
    "lr": 0.0001,
    "epochs": 300,
    "base_channels": 64,
    "time_emb_dim": 128,
    "data_dir": "./data",
    "ckpt_path": "./mnist_cond_ddpm.pt"
  },
  "training": {
    "cell_position": 33,
    "execution_count": 16,
    "recorded_epochs": 300,
    "batches_per_epoch": 469,
    "first_epoch_average_loss": 0.1871,
    "final_epoch_average_loss": 0.0357,
    "loss_definition": "Arithmetic mean of batch-mean noise MSE, as printed by the original utils.train helper. Values are rounded to four decimal places in the saved log.",
    "csv": "colab-t4-training-loss.csv"
  },
  "sample_images": [
    {
      "file": "colab-t4-digits.png",
      "cell_position": 36,
      "execution_count": 18,
      "output_index": 0,
      "width": 640,
      "height": 108,
      "sha256": "196de5273bbd2c538394ba004b6834135fe60b37e6a8fea6a1700170ec65bda8"
    },
    {
      "file": "colab-t4-sevens.png",
      "cell_position": 37,
      "execution_count": 19,
      "output_index": 0,
      "width": 636,
      "height": 658,
      "sha256": "1121628990ab932575c1a76b0449d99fc09f25ab121b45e63bc68fecd9fdc445"
    }
  ],
  "sampling_seed": null,
  "seed_note": "No explicit seed is set in the saved notebook code.",
  "library_versions": null,
  "runtime_duration": null
}