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Reproducing Results #7
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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 + 0.0024Here 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 + 0.0020Reactions are currently unavailable
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