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tsilva
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mnist-classifier-cnn

Image Classification
ONNX
PyTorch
mnist
convolutional-neural-network
onnxruntime
dlab
Model card Files
xet
 Community
mnist-classifier-cnn
File size: 1,666 Bytes
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{
  "source_run": "https://wandb.ai/tsilva/dlab/runs/5um57rnu",
  "source_sweep": "https://wandb.ai/tsilva/dlab/sweeps/ikfs5ox8",
  "selection_rule": "Uploaded checkpoint is seed 1, selected by best validation loss among the 5 final-test seeds.",
  "checkpoint": "model.ckpt",
  "onnx": "model.onnx",
  "input_shape": [
    1,
    28,
    28
  ],
  "input_name": "images",
  "output_name": "logits",
  "classes": [
    "0",
    "1",
    "2",
    "3",
    "4",
    "5",
    "6",
    "7",
    "8",
    "9"
  ],
  "preprocessing": {
    "to_tensor": true,
    "normalize_mean": [
      0.1307
    ],
    "normalize_std": [
      0.3081
    ]
  },
  "architecture": {
    "model": "cnn",
    "channels": [
      32,
      64,
      128
    ],
    "dropout": 0.1,
    "parameters": 288618
  },
  "training": {
    "optimizer": "adam",
    "learning_rate": 0.001,
    "weight_decay": 0.0001,
    "scheduler": "one_cycle",
    "label_smoothing": 0.02,
    "weight_averaging": "ema",
    "max_epochs": 150,
    "early_stopping_monitor": "val/loss",
    "early_stopping_patience": 8,
    "early_stopping_min_delta": 0.0005
  },
  "uploaded_checkpoint_metrics": {
    "seed": 1,
    "validation_accuracy": 0.996833324432373,
    "validation_loss": 0.14123967289924622,
    "test_accuracy": 0.9961000084877014,
    "test_loss": 0.14772307872772217
  },
  "five_seed_test_metrics": {
    "test_accuracy_mean": 0.9961399912834167,
    "test_accuracy_std": 0.0008018828510757216,
    "test_loss_mean": 0.14676523208618164,
    "test_loss_std": 0.002721322756446171,
    "best_validation_loss_mean": 0.14282282292842866,
    "best_validation_loss_std": 0.0013830928937782845
  }
}