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Hi,
Thanks for the nice work and for sharing the code.
I have tried replicating the results of the paper (training from scratch) but with no luck.
I have followed the instructions of the readme and tried both pytorch/cuda-toolkit 1.4/10.0.
For ResNet-10 and ResNet-18, on miniImageNet I am getting a discrepancy between 2% and 3% (absolute).
Thanks in advance for the help!
The text was updated successfully, but these errors were encountered:
bertinetto
changed the title
Performance discrepancy when re-training
Performance discrepancy when training from scratch (not using the provided models)
Feb 20, 2020
Hi,
For some reason, the problem only occurred when using PyTorch 1.4.
Using PyTorch 1.0 results are reproduced.
Will post here when/if I can find a fix for PyTorch 1.4
bertinetto
changed the title
Performance discrepancy when training from scratch (not using the provided models)
Performance discrepancy when training from scratch w/ PyTorch 1.4
Feb 25, 2020
Hi,
Thanks for the nice work and for sharing the code.
I have tried replicating the results of the paper (training from scratch) but with no luck.
I have followed the instructions of the readme and tried both pytorch/cuda-toolkit 1.4/10.0.
For ResNet-10 and ResNet-18, on miniImageNet I am getting a discrepancy between 2% and 3% (absolute).
Thanks in advance for the help!
The text was updated successfully, but these errors were encountered: