efficientnet_b0_inference_package.json

{
  "model_checkpoint": "/N/project/retinal_images/scripts/retinaradar/retinaradar/output/runs/run_Dp7rFiLrGVRESMaLdgoN5H-2025-11-15_224224/models/efficientnet_b0_final.ckpt",
  "metadata": {
    "num_labels": 17,
    "feature_names": [
      "laterality",
      "fundus_image_type",
      "artifacts",
      "clarity",
      "illumination",
      "contrast",
      "field",
      "usable"
    ],
    "onehot_feature_names": [
      "x0_left",
      "x0_right",
      "x1_standard",
      "x1_ultrawidefield",
      "x1_widefield",
      "x2_False",
      "x2_True",
      "x3_False",
      "x3_True",
      "x4_False",
      "x4_True",
      "x5_False",
      "x5_True",
      "x6_False",
      "x6_True",
      "x7_False",
      "x7_True"
    ],
    "label_categories": [
      [
        "left",
        "right"
      ],
      [
        "standard",
        "ultrawidefield",
        "widefield"
      ],
      [
        false,
        true
      ],
      [
        false,
        true
      ],
      [
        false,
        true
      ],
      [
        false,
        true
      ],
      [
        false,
        true
      ],
      [
        false,
        true
      ]
    ]
  },
  "config": {
    "model_name": "efficientnet_b0",
    "num_labels": 17,
    "label_names": [
      "x0_left",
      "x0_right",
      "x1_standard",
      "x1_ultrawidefield",
      "x1_widefield",
      "x2_False",
      "x2_True",
      "x3_False",
      "x3_True",
      "x4_False",
      "x4_True",
      "x5_False",
      "x5_True",
      "x6_False",
      "x6_True",
      "x7_False",
      "x7_True"
    ],
    "learning_rate": 0.0001,
    "input_size": 512
  }
}