Hey,
can someone tell me what’s wrong here why i am not able to download the decoder
(deep-env) SAGAR@deepspeech-node4-vm:/opt/deepspeech/sagarv4/DeepSpeech$ pip3 install $(python3 util/taskcluster.py --decoder)
ds_ctcdecoder-0.4.1-cp36-cp36m-manylinux1_x86_64.whl is not a supported wheel on this platform.
(deep-env) SAGAR@deepspeech-node4-vm:/opt/deepspeech/sagarv4/DeepSpeech$
cat VERSION
0.4.1
Thanks
Sagar
lissyx
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2
Again, we cannot help you if you don’t give us more context on your system. pip install --verbose could help also.
Hey can you point me towards the release notes that you were talking about.
Every time i run the model with different data sets the epochs number displayed are different. Even though i download the checkpoints of the Pre-trained model again.
About the system i’m using google cloud platform and Gpu for the training
lissyx
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8
Hey Everytime i start the training it starts with different epoch number.
I’m posting the text files the training part and the inferences for twodifferent datasets with 2 checkpoint folders.
Can i know why such behavior is everything correct or am i doing something wrong.traininontest2.zip (1.6 KB)
This zip file has 2 text files where you can see the epoch starting number.
My question is deep speech was already trained for certain epochs .so, if i start the training it was supposed to start from there. But why different epoch every time i start the training.
Every time i run the model with different data sets the epochs number displayed are different.
This is expected. If you’re retraining or fine tuning, just use negative epoch numbers: if you want to train for an additional 20 epochs, pass --epoch -20.
lissyx
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12
Sorry, but if you keep not replying to what is required so we can help you, it’s not going to be going anywhere. This is not documenting the operating system, nor the CPU and others critical components of your system.
Hello, @reuben@lissyx
I did the training with my data the overall data is only for 33 minutes.(train part)
The output that i got was not satisfactory.
I have a doubt here if i add up the data my data with the common-voice data and train the model completely from starting will it show better results.
Is it worthwhile to do this ? Please suggest
Assuming the train data that Deep speech used is common cv (correct me if i’m wrong)
Thanks
Sagar
lissyx
((slow to reply) [NOT PROVIDING SUPPORT])
17
So we definitively need that you share the output of pip install --verbose when it fails, because it is supposed to work on that system.
pip install --verbose
Created temporary directory: /tmp/pip-ephem-wheel-cache-1lb9ze7_
Created temporary directory: /tmp/pip-req-tracker-1vhdpi6n
Created requirements tracker ‘/tmp/pip-req-tracker-1vhdpi6n’
Created temporary directory: /tmp/pip-install-ce9ji0no
Cleaning up…
Removed build tracker ‘/tmp/pip-req-tracker-1vhdpi6n’
ERROR: You must give at least one requirement to install (see “pip help install”)
Exception information:
Traceback (most recent call last):
File “/home/SAGAR/anaconda3/envs/deep-env/lib/python3.6/site-packages/pip/_internal/cli/base_command.py”, line 143, in main
status = self.run(options, args)
File “/home/SAGAR/anaconda3/envs/deep-env/lib/python3.6/site-packages/pip/_internal/commands/install.py”, line 293, in run
self.name, wheel_cache
File “/home/SAGAR/anaconda3/envs/deep-env/lib/python3.6/site-packages/pip/_internal/cli/base_command.py”, line 252, in populate_requirement_set
‘(see “pip help %(name)s”)’ % opts)
pip._internal.exceptions.CommandError: You must give at least one requirement to install (see “pip help install”)
1 location(s) to search for versions of pip:
lissyx
((slow to reply) [NOT PROVIDING SUPPORT])
19
Thanks, but it’s incomplete and improperly formatted, so unusable. Please make sure you use code formatting for console output. You also don’t specify any python module to install … You should be doing the same as when you got the error ds_ctcdecoder-0.4.1-cp36-cp36m-manylinux1_x86_64.whl is not a supported wheel on this platform.: