Testing result not good?

Test on data_for_model/test.csv - WER: 0.989899, CER: 0.888451, loss: 201.759644

--------------------------------------------------------------------------------
    WER: 1.000000, CER: 0.882353, loss: 74.156654
     - src: "this is demo"
     - res: "i see"
  --------------------------------------------------------------------------------
     WER: 1.000000, CER: 0.888889, loss: 79.565163
     - src: "compass computrace"
     - res: "i see"
--------------------------------------------------------------------------------
      WER: 1.000000, CER: 0.800000, loss: 87.420784
     - src: "quality of food "
     - res: "i see"
--------------------------------------------------------------------------------
     WER: 1.000000, CER: 0.807692, loss: 103.913086
     - src: "open the lock"
     - res: "i see"
--------------------------------------------------------------------------------
     WER: 1.000000, CER: 0.826087, loss: 109.038353
    - src: "clear understanding demo"
    - res: "i see"
   --------------------------------------------------------------------------------

same result are coming any one please help me?

I am unable to improve model accuracy?

I know loss is high but res are same for all src ?

I am doing any mistake please correct me?

Who knows. We don’t know anything about your usage. Don’t expect anybody to be able to help you without sharing details.

Sorry @lissyx
About dataset I have only 450 wav file

train-317
dev- 84
other in test

train using below command:

  python DeepSpeech.py 
          --train_files data_for_model/train.csv 
          --dev_files data_for_model/dev.csv 
          --test_files data_for_model/test.csv 
          --epochs 30 
          --learning_rate 0.0001 
          --export_dir ckexport/ 
          --checkpoint_dir ckpoint/

after i am getting above result?

How did you produced all of thoses ? What version are you working on ?

I am using DeepSpeech v0.5.1

wav recording with CHANNELS = 1
RATE = 16000

I have question in all recording starting with open
eg.

100.wav 67363 open this message
200.wav 67263 open all pages

like in all recording is it good? Sir

I have no idea what you are doing.

@lissyx Sir I am having multiple recordings starting or containing similar word for
ex open mail
open phone ,
open calender
folder open etc

occurrence of open is multiple time

my all data like that is it good ?

I’ve asked you questions, you have not answered them and you still hide a lot of details of your context. I can’t help you if you don’t want help.

I am not able to train good model
I want to train a model with some command like above.
question is if similar words occurs in multiple time recording so model will train perfectly or not ?

Modern artificial intelligence relies on tons and tons of data. So if you had 30.000 files, you should get good results, I doubt that you get that with just 300.

You need more data.

@othiele and @lissyx Thanks for help