I started training from scratch but it is giving error while exporting the model

Archives DeepSpeech
21

thanks man i will try and is there any problem with my dataset?

22

dataset looks fine, if you are training English, why not include Common Voice? Will get you better results

23

because the voice is in indian english i downloaded it from youtube .

24

collected 100k data
so i started with fine tuning process and validation loss and training loss reduces to 20
**python3 DeepSpeech.py --drop_source_layers 1 --alphabet_config_path /home/dimanshu/alpha.txt --load_checkpoint_dir /home/dimanshu/latestcheckpoiint/new --save_checkpoint_dir /home/dimanshu/latestcheckpoiint/new/ --train_files train.csv --dev_files dev.csv --test_files test.csv --train_cudnn true --export_dir /home/dimanshu/latest_best_path/ --test_batch_size 64 --train_batch_size 64 --dev_batch_size 64
**

after 5 epochs of fine tune loss came 20 and after that it increases to 45 till 75 epochs .
then i started training with my latest checkpoint the loss is started with 40 how this happening the last checkpoint has a loss of only 30 . and it saves the latest checkpoint with 30 loss

**I Loading variable from checkpoint: layer_6/weights/Adam
I Loading variable from checkpoint: layer_6/weights/Adam_1
I Loading variable from checkpoint: learning_rate
I STARTING Optimization
Epoch 0 | Training | Elapsed Time: 0:03:56 | Steps: 1093 | Loss: 37.521773
Epoch 0 | Validation | Elapsed Time: 0:00:22 | Steps: 267 | Loss: 30.950143 | Dataset: dev.csv
I Saved new best validating model with loss 30.950143 to: /home/dimanshu/latestcheckpoiint/new/best_dev-241435
Epoch 1 | Training | Elapsed Time: 0:03:51 | Steps: 1093 | Loss: 38.144265
Epoch 1 | Validation | Elapsed Time: 0:00:22 | Steps: 267 | Loss: 34.604549 | Dataset: dev.csv **

checkpoint having 20 loss was there in a directory then when it saved a checkpoint with 30 loss ?
and the loss is always increasing i don’t know why . my dataset is in english.

and after completing the training result is always like this
WER: 1.000000, CER: 1.000000, loss: 6.804279

  • wav: file:///home/dimanshu/mydatadeepspeech/youtube-course-1/final_sound/3e33f5d2-235e-4404-8ed9-02c088a9c2ed.wav
  • src: “technically that it is so what is that”
  • res: “”

WER: 1.000000, CER: 1.000000, loss: 4.279890

  • wav: file:///home/dimanshu/mydatadeepspeech/youtube-course-1/final_sound/de606ba7-17c4-489f-96c7-2883338db1cc.wav
  • src: “happens”
  • res: “”

WER: 1.000000, CER: 1.000000, loss: 2.133422

  • wav: file:///home/dimanshu/mydatadeepspeech/youtube-course-1/final_sound/3281b44f-7021-4392-bd2a-9d3ec336e193.wav
  • src: “when”
  • res: “”

m i doing something wrong ? @othiele

25

Take the checkpoint after the 5 epochs and do some testing. It might be the best you can get from youtube transcriptions … ideally you have a good selfmade testing set.

26

@othiele now i took audio from youtube and convert the audio to text with the help of google speech to text api .

27

Google speech is not perfect, check the transcripts. Ideally, you have only perfect transcripts.

28

@othiele sir how to test the checkpoint i want to test one checkpoint which you told me . how to pass audio file to it

best_dev-240342.data-00000-of-00001
best_dev-240342.index
best_dev-240342.meta

i want to check this with wav files.

29

No, I meant, check your input data. Check 200-300 random chunks whether what is said is also what is in the transcripts. More than 99% should be perfect.

30

yes sir that is perfect .
but when im checking other audio files random files it is not working properly .

31

Please read what we are writing. Did you use a dropout like 0.25 as I suggested? Your command line looks like you didn’t.

32

sir i used it
but dropout was 0.4 not 0.25

33

Looking at the train command you gave us, you didn’t. Sorry, can’t help you without information.

34

command for fine tune=
python3 DeepSpeech.py --drop_source_layers 1 --alphabet_config_path /home/dimanshu/alpha.txt --load_checkpoint_dir /home/dimanshu/latestcheckpoiint/new --save_checkpoint_dir /home/dimanshu/latestcheckpoiint/new/ --train_files train.csv --dev_files dev.csv --test_files test.csv --train_cudnn true --export_dir /home/dimanshu/latest_best_path/ --test_batch_size 64 --train_batch_size 64 --dev_batch_size 64

command for training =

./DeepSpeech.py --n_hidden 2048 --save_checkpoint_dir /home/dimanshu/latestcheckpoiint/new --load_checkpoint_dir /home/dimanshu/latestcheckpoiint/new --epochs 100 --train_files train.csv --dev_files dev.csv --test_files test.csv --train_cudnn true --alphabet_config_path /home/dimanshu/alpha.txt --export_dir /home/dimanshu/best_path --dropout_rate 0.4 --test_batch_size 64 --train_batch_size 64 --dev_batch_size 64

35

can i check my this checkpoint ?
best_dev-240342.data-00000-of-00001
best_dev-240342.index
best_dev-240342.meta

how to convert this into .pb format ?

36

It is frustrating, that when I search for an answer I find one of your questions! Please do your homework before asking questions here. You want something for free but are not willing to invest 5 minutes of thinking/searching.

1 Like
37

i did some research sir and i asked that question 15days back.