Comments (4)
thanks, I will try it again asap.
from reside.
Hi @zhoudayang.
I looked into the problem, there was a slight error in copying hyperparameters. You can pull the code and start afresh training and let it get finished on its own.
python reside.py -name new_train_run -data data/riedel_processed.pkl
After that, you can restore and train the model again with SGD for 2-3 epochs
python reside.py -name new_train_run_xx_xx_xxxx_xx:xx:xx -restore -opt sgd -lr 0.001 -l2 0.0 -epoch 3
Then run python plot_pr.py -name new_train_run_20_11_2018_13:05:18
to get the plot.
from reside.
the photo showed that the performance of reside is worse than pcnn
from reside.
Seems like the model has not converged, you need to train it for more epochs with a lower learning rate. After 3-4 epochs with Adam you can train it further with SGD with learning rate .001
or lower. I think then it should be fine. You can do that easily by executing:
python -restore -name <full_name_of_run> -opt sgd -lr 0.001
from reside.
Related Issues (20)
- OOM appears when training the model HOT 6
- About GIDS raw dataset HOT 7
- Error while running Flask server HOT 2
- About Riedel&GIDS raw dataset HOT 5
- Hello, can you provide the code to get the entity type? Thank you HOT 1
- Some problems about code HOT 4
- NameError: name 'sess' is not defined HOT 2
- error when running online/server.py HOT 3
- Error when executing cnnatt.py and pcnnatt.py HOT 2
- About how to get precision_recall.pkl HOT 2
- Question about the PR curves of the GIDS dataset HOT 5
- A problem about relation alias: how does the relation alias obtained from PPDB? HOT 1
- Wrong link to riedel_raw HOT 1
- Could you plz release the id2entitytype dict corresponding to the provided riedel_preprocessed.pkl? HOT 4
- Get accuracy at the instance level? HOT 5
- Problem about running pcnnatt HOT 2
- Flask Server Prediction and Online_Reside.py HOT 1
- Flask server bad file descriptor HOT 1
- problems processing the GIDS dataset
- Error while running online/server.py
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from reside.