Major Amp, Minor Amp, Salvage

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Deployment Date: 2024-10-01 12:16:01

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Performance and Training Settings:

Validation Accuracy: 0.8543689250946045

Validation Loss: 0.4487881064414978

Training Accuracy: 0.9771084785461426

Training Loss: 0.07094200700521469

Class Counts (n): 320, 280, 436

Outcome: Major Amp, Minor Amp, Salvage

Number of Epochs: 40

Initial Learning Rate: 0.001

Batch Size: 16

Confusion Matrix:

Confusion Matrix

Training and Validation Logs:

Training and Validation Logs

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