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TN5000_model

Image Classification
Transformers
Safetensors
swinv2
medical-imaging
thyroid
ultrasound
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ml-intern
Eval Results (legacy)
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TN5000_model
File size: 1,226 Bytes
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{
  "model": "microsoft/swinv2-base-patch4-window8-256",
  "dataset": "TN5000",
  "validation": {
    "loss": 0.12442023307085037,
    "accuracy": 0.8785714285714286,
    "f1": 0.9126413155190134,
    "sensitivity": 0.888,
    "specificity": 0.855,
    "ppv": 0.9386892177589852,
    "npv": 0.7533039647577092,
    "auc_roc": 0.93988,
    "tp": 444,
    "tn": 171,
    "fp": 29,
    "fn": 56,
    "runtime": 4.4047,
    "samples_per_second": 158.921,
    "steps_per_second": 9.989
  },
  "test": {
    "loss": 0.12932181358337402,
    "accuracy": 0.872,
    "f1": 0.9080459770114943,
    "sensitivity": 0.8745387453874539,
    "specificity": 0.8653846153846154,
    "ppv": 0.9442231075697212,
    "npv": 0.7258064516129032,
    "auc_roc": 0.9366839341470338,
    "tp": 474,
    "tn": 180,
    "fp": 28,
    "fn": 68,
    "runtime": 4.6692,
    "samples_per_second": 160.627,
    "steps_per_second": 10.066
  },
  "confusion_matrix_validation": {
    "tp": 444,
    "tn": 171,
    "fp": 29,
    "fn": 56
  },
  "confusion_matrix_test": {
    "tp": 474,
    "tn": 180,
    "fp": 28,
    "fn": 68
  },
  "class_weights": [
    1.7543859649122806,
    0.6993006993006993
  ],
  "label_names": [
    "benign",
    "malignant"
  ]
}