Error in train (different losts)

Azatbek_Miraliev · January 13, 2020, 12:58pm

Hi Everyone! I train the model and get different losts

I Finished training epoch 1842 - loss: 7.289767
I Training epoch 1843…
I Finished training epoch 1843 - loss: 6.417722
I Training epoch 1844…
I Finished training epoch 1844 - loss: 8.443151
I Training epoch 1845…
I Finished training epoch 1845 - loss: 6.085240
I Training epoch 1846…
I Finished training epoch 1846 - loss: 6.817554
I Training epoch 1847…
I Finished training epoch 1847 - loss: 6.163227
I Training epoch 1848…
I Finished training epoch 1848 - loss: 6.673455
I Training epoch 1849…
I Finished training epoch 1849 - loss: 6.459898
I Training epoch 1850…
I Finished training epoch 1850 - loss: 6.594937
I Training epoch 1851…
I Finished training epoch 1851 - loss: 6.687344
I Training epoch 1852…
I Finished training epoch 1852 - loss: 11.897445
I Training epoch 1853…
I Finished training epoch 1853 - loss: 33.757729
I Training epoch 1854…
I Finished training epoch 1854 - loss: 1402.510132
I Training epoch 1855…
I Finished training epoch 1855 - loss: 4485.072754
I Training epoch 1856…
I Finished training epoch 1856 - loss: 2153.560059
I Training epoch 1857…
I Finished training epoch 1857 - loss: 1923.557007
I Training epoch 1858…
I Finished training epoch 1858 - loss: 2507.593750
I Training epoch 1859…
I Finished training epoch 1859 - loss: 1716.422974
I Training epoch 1860…
I Finished training epoch 1860 - loss: 1413.547974
I Training epoch 1861…
I Finished training epoch 1861 - loss: 1260.555908
I Training epoch 1862…
I Finished training epoch 1862 - loss: 1238.079102
I Training epoch 1863…
I Finished training epoch 1863 - loss: 1010.995300
I Training epoch 1864…
I Finished training epoch 1864 - loss: 944.558167
Run parameters:
python -u DeepSpeech.py --noshow_progressbar
–train_files /home/user/DeepSpeech/test/train.csv
–test_files /home/user/DeepSpeech/test/train.csv
–train_batch_size 31
–test_batch_size 30
–n_hidden 200
–epochs 4000
–checkpoint_dir /home/user/DeepSpeech/test/model/
–export_dir /home/user/DeepSpeech/test/model/
–alphabet_config_path /home/user/DeepSpeech/test/alphabet.txt
–lm_binary_path /home/user/DeepSpeech/test/lm.binary
–lm_trie_path /home/user/DeepSpeech/test/trie

lissyx · January 13, 2020, 12:49pm

Please copy/paste text content, don’t use screenshots. Also, please share context on your training, there is nothing we can do to help you here.

Azatbek_Miraliev · January 13, 2020, 12:57pm

changed at your request!

lissyx · January 13, 2020, 1:00pm

What are those ? No validation set ?

Why this value ?

Azatbek_Miraliev · January 13, 2020, 1:04pm

Сan `t specify the same file for the test?
because in the example script there were 200

lissyx · January 13, 2020, 1:09pm

It’s just going to overfit. Since you don’t give more context, I can’t know if it is what you want or if you are making a mistake.

What example ?

Azatbek_Miraliev · January 13, 2020, 1:12pm

run-ldc93s1.sh in the folder Deepspeech/bin

github.com

mozilla/DeepSpeech/blob/master/bin/run-ldc93s1.sh

#!/bin/sh
set -xe
if [ ! -f DeepSpeech.py ]; then
    echo "Please make sure you run this from DeepSpeech's top level directory."
    exit 1
fi;

if [ ! -f "data/ldc93s1/ldc93s1.csv" ]; then
    echo "Downloading and preprocessing LDC93S1 example data, saving in ./data/ldc93s1."
    python -u bin/import_ldc93s1.py ./data/ldc93s1
fi;

if [ -d "${COMPUTE_KEEP_DIR}" ]; then
    checkpoint_dir=$COMPUTE_KEEP_DIR
else
    checkpoint_dir=$(python -c 'from xdg import BaseDirectory as xdg; print(xdg.save_data_path("deepspeech/ldc93s1"))')
fi

# Force only one visible device because we have a single-sample dataset
# and when trying to run on multiple devices (like GPUs), this will break

This file has been truncated. show original

lissyx · January 13, 2020, 1:20pm

This one defines a model of 100 and not 200, and it’s purposely overfitting. It’s just here as a basic sanity test to help ensure training setup is okay.

Azatbek_Miraliev · January 13, 2020, 1:23pm

What should I do to properly train the model

– N_hidden 1024
add test dataset
?

lissyx · January 13, 2020, 1:24pm

First, please answer to the question I asked in the very first reply:

please share context on your training, there is nothing we can do to help you here.

lissyx · January 13, 2020, 1:27pm

No, what you are trying to achieve.

Azatbek_Miraliev · January 13, 2020, 1:31pm

Train my own langauge model,i n our language there are no full-fledged voice recognition systems, respectively, and datasets

lissyx · January 13, 2020, 1:34pm

Well, have you followed the documentation ? Do you understand what you are doing ? You need lots of data, and proper train / dev / test repartition of it.

That does not document where train.csv is coming from.

Azatbek_Miraliev · January 13, 2020, 1:39pm

My train.csv has a format may not be correctly composed?

lissyx · January 13, 2020, 1:43pm

Please avoid using screenshots.

I don’t understand your question. Can you please explain where your train.csv comes from. How much data do you have ?

Azatbek_Miraliev · January 13, 2020, 1:47pm

I wish you could understand,I have about 33 entries, of which 32 are for training 1 for the test, the question was why did the loss suddenly increase?

Azatbek_Miraliev · January 13, 2020, 1:48pm

I prepare all the data myself

lissyx · January 13, 2020, 1:50pm

Finally. Not a question I could answer until you accept to be more specific about your context. 32 files for training, that’s far from enough.

Your training setup is likely very inconsistent: no validation set, so it’s overfitting. Small dataset, so it’s overfitting. Way too much epoch, so it’s doing random.

I can’t do divination, if you don’t explain I cannot know and I can’t help you.

So please divide into train.csv, dev.csv and test.csv.

Azatbek_Miraliev · January 13, 2020, 1:58pm

Well thank you!You could not help me, even though a little example

lissyx · January 13, 2020, 1:59pm

I can’t help you if you don’t ask a precise question. I’ve already helped you a lot, but I don’t see any more point that you asked.