Thanks! Unfortunately I'm now getting the dreaded "Failed to read
continue from:" error.
I have used docker exec to start another terminal in the running
container, and am trying to use the following command:
lstmtraining \
--stop_training \
--continue_from /data/output/meme_checkpoint \
--traineddata /data/starter/eng/eng.traineddata \
--model_output /data/output/mem.traineddata
The file I'm using in --continue_from always has a fresh timestamp, but
the other checkpoints (with numbers in the filenames) in the same
directory are quite old.
I'd be grateful for any suggestions.
On 23/12/2019 17:10, Shree Devi Kumar wrote:
You can create traineddata with the --stop-training while lstmtraining
continues to run.
If you are using tesstrain makefile then it has a target called
traineddata which will generate traineddata file for each intermediate
checkpoint.
You can stop and start training but I have a feeling that training runs
longer in that case.
On Mon, Dec 23, 2019, 17:33 Adam Funk <[email protected]
<mailto:[email protected]>> wrote:
Hi,
I have an lstmtraining job running without --max_iterations; it's been
going for a couple of weeks now (in a docker container in screen on a
server that I ssh into).
Can I safely use ctrl-C to stop it, use lstmtraining --stop_training
(with appropriate settings for --continue_from --traineddata and
--model_output) to create a trained model that I can drop into
tesseraact somewhere else, and then restart the lstmtraining job?
I don't want to lose anything that's been produced so far.
Thanks,
Adam
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