gqa-node-properties
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How long the training should take?
Hi David,
I have been training the model for 24 hours by now(using default settings) and it's been running 7.6+ millions steps. The global_step per second is about 75. I am running it in a Docker CentOS container with 4GB RAM and 2 CPU cores (i7 7500 2.7G).
Do you think it is the expected behavior? How many steps it would do?
Cheers
Joshua
Hello!
It should only need a few minutes of training. What’s your test accuracy at?
On Sun, Mar 3, 2019 at 5:08 AM Fanghua(Joshua) Yu [email protected] wrote:
Hi David,
I have been training the model for 24 hours by now(using default settings) and it's been running 7.6+ millions steps. The global_step per second is about 75. I am running it in a Docker CentOS container with 4GB RAM and 2 CPU cores (i7 7500 2.7G).
Do you think it is the expected behavior? How many steps it would do?
Cheers
Joshua
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I'd think so too. I didn't change any settings from the repository, and used this to run:
$ python3.6 -m macgraph.train
The last lines on screen before I terminated the execution were: ... ... INFO:tensorflow:global_step/sec: 81.7011 INFO:tensorflow:loss = 0.0, step = 10511101 (1.224 sec) INFO:tensorflow:loss = 0.0, step = 10511101 (1.224 sec)
Where do I set up the accuracy?
Cheers
Joshua
Loss = 0.0 implies that the accuracy is probably really high.
You can see the accuracy by running pipenv run tensorboard —logdir ./model
or similar
Enjoy :)
On March 3, 2019 at 3:31:22 PM, Fanghua(Joshua) Yu ([email protected]) wrote:
I'd think so too. I didn't change any settings from the repository, and used this to run:
$ python3.6 -m macgraph.train
The last lines on screen before I terminated the execution were: ... ... INFO:tensorflow:global_step/sec: 81.7011 INFO:tensorflow:loss = 0.0, step = 10511101 (1.224 sec) INFO:tensorflow:loss = 0.0, step = 10511101 (1.224 sec)
Where do I set up the accuracy?
Cheers
Joshua
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