mnist-cnn-classifier / metadata.json
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Upload MNIST CNN classifier
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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
}
}