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NOTE: I used a batch_size of 15 instead of the default of 1, since it seems to lead to more stable convergence rates.
I then used the python notebook to generate 3 graphs shown in the README.md.
For convenience when comparing, I've included both the graphs I got, and the graph I expect (taken from the README.md).
Graph 1: Training convergence
I got: I expect:
Graph 2: Training convergence (per sequence length)
I got: I expect:
Graph 3: Evaluate
I got:
(The expected graph being that Outputs matches the Targets)
Setup information
My setup is:
OS: Ubuntu 16.04.4 LTS
Python version: 3.6.4
PyTorch is installed using Anaconda, pip freeze reports the version as: torch==0.3.0.post4
CUDA/cuDNN versions/libraries in use by pytorch at runtime:
Thanks for reporting it @jagleeso, the same issue was reported to me earlier this week and the fix was to use earlier commit d8fedf6 for now which seemed to work. I plan to fix it in the coming days.
Hello,
I'm just trying to reproduce the results/graphs shown in the README.md for the "copy" task.
I am running this on the latest master branch:
Commit 5c5ce66376e8032c38ef4327ca381fee145f4d0f
How I trained my model:
./train.py --seed 1000 --task copy --checkpoint_interval 500 --checkpoint-path ./notebooks/copy -pbatch_size=15
NOTE: I used a batch_size of 15 instead of the default of 1, since it seems to lead to more stable convergence rates.
I then used the python notebook to generate 3 graphs shown in the README.md.
For convenience when comparing, I've included both the graphs I got, and the graph I expect (taken from the README.md).
Graph 1: Training convergence
I got:
I expect:
Graph 2: Training convergence (per sequence length)
I got:
I expect:
Graph 3: Evaluate
I got:
(The expected graph being that Outputs matches the Targets)
Setup information
My setup is:
pip freeze
reports the version as:torch==0.3.0.post4
Let me know if there is any other information I can provide.
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