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Reproducing Results #7

@greeneggsandyaml

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@greeneggsandyaml

Hello authors,

Sorry to add another issue about this -- I've read everything in the existing (closed) issues, but I'm still having problems reproducing the results.

Here are is what I ran and what I got for CUB 1s5w (conv4):

# CUB 1s5w (conv4) 0.6402 +- 0.002
python train_protonet.py \
  --dataset CUB \
  --shot 1 \
  --lr 0.001 \
  --step 50 \
  --gamma 0.8 \
  --c 0.05 \
  --model convnet \
  --hyperbolic \
  --not-riemannian \
  --dim 1600

### OUTPUT ###
batch 9998: 62.48(49.33)
batch 9999: 62.47(54.67)
batch 10000: 62.47(54.67)
Val Best Acc 0.6809, Test Acc 0.6247
Test Acc 0.6247 + 0.0024

Here are is what I ran and what I got for MiniImageNet 1s5w (conv4):

# MiniImageNet 1s5w (conv4) 0.5443 +- 0.002
python train_protonet.py \
  --dataset MiniImageNet \
  --way 30 \
  --shot 1 \
  --lr 0.005 \
  --step 80 \
  --gamma 0.5 \
  --c 0.01 \
  --model convnet \
  --hyperbolic \
  --not-riemannian \
  --dim 1600

### OUTPUT ###
batch 9998: 52.15(44.00)
batch 9999: 52.15(60.00)
batch 10000: 52.15(42.67)
Val Best Acc 0.5362, Test Acc 0.5215
Test Acc 0.5215 + 0.0020

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