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pcam-interpretability/resnet50-val08783-resnet-tuned-aug

sourceHugging Faceupdated 1y agoView on Hugging Face
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Model Card

resnet50

Best Validation Accuracy: 0.8783

Metadata

  • Model Name: resnet50
  • Optimizer: adamw
  • Scheduler: step
  • Weight Decay: 0.0005
  • Warmup Epochs: 3
  • Patience: 7
  • Amp: True
  • Seed: 42
  • Batch Size: 32
  • Initial Lr: 0.0005
  • Total Epochs Ran: 8
  • Early Stopped: True
  • Training Time Seconds: 19030.771079063416
  • Num Parameters: 22067009
  • Device: NVIDIA A100-SXM4-40GB
  • Run Id: resnet-tuned-aug

Training Configuration

  • Epochs: 8
  • Batch size: 32
  • Learning rate (initial): 0.0005

Training Logs (Per Epoch)

EpochTrain LossTrain AccVal LossVal AccLR
10.32340.86240.29440.87830.000167
20.27620.88760.37290.84440.000333
30.26000.89550.42100.83330.000500
40.23250.90820.48660.81720.000500
50.21380.91680.34200.87030.000500
60.19900.92360.42320.84920.000500
70.18890.92810.35320.87400.000500
80.17950.93190.40620.86030.000500