Trie file version mismatch (4 instead of expected 3). Update your trie file

Archives DeepSpeech
1

Hi Deepspeech,

  • OS Platform and Distribution (e.g., Linux Ubuntu 16.04) : Ubuntu 16.04 LTS
  • TensorFlow installed from (our builds, or upstream TensorFlow) : NO
  • TensorFlow version (use command below) : 1.13
  • Python version : Python 3.6.8

from the “pip list” command I can see the below installed version of both. Could you please correct me.
deepspeech 0.6.0a4
ds-ctcdecoder 0.5.1

I am getting --> Error: Trie file version mismatch (4 instead of expected 3). Update your trie file.

Here is the output of the command

I Saved new best validating model with loss 149.557864 to: /home/jargon-javi/speech/tools/backup/checkout/best_dev-120
Epoch 1 | Training | Elapsed Time: 0:00:06 | Steps: 5 | Loss: 175.983118
Epoch 1 | Validation | Elapsed Time: 0:00:00 | Steps: 3 | Loss: 150.642143 | Dataset: /home/jargon-javi/speech/tools/backup/train/dev.csv
Epoch 2 | Training | Elapsed Time: 0:00:06 | Steps: 5 | Loss: 174.152228
Epoch 2 | Validation | Elapsed Time: 0:00:00 | Steps: 3 | Loss: 150.533025 | Dataset: /home/jargon-javi/speech/tools/backup/train/dev.csv
Epoch 3 | Training | Elapsed Time: 0:00:06 | Steps: 5 | Loss: 172.228995
Epoch 3 | Validation | Elapsed Time: 0:00:00 | Steps: 3 | Loss: 151.794245 | Dataset: /home/jargon-javi/speech/tools/backup/train/dev.csv
I Early stop triggered as (for last 4 steps) validation loss: 151.794245 with standard deviation: 0.487455 and mean: 150.244344
I FINISHED optimization in 0:00:26.650283
Error: Trie file version mismatch (4 instead of expected 3). Update your trie file.
terminate called after throwing an instance of ‘int’
Aborted (core dumped)

2

Ok, can you explain what you are doing ? Because this already looks like your issue, mixing incompatible versions.

3

Hi @lissyx,

I am running ./Deepspeech.py commands and exporting the model.

python -u DeepSpeech.py
–train_files /home/javi/speech/tools/backup/train/train.csv
–dev_files /home/javi/speech/tools/backup/train/dev.csv
–test_files /home/javi/speech/tools/backup/train/test.csv
–n_hidden 375
–epoch 33
–early_stop True
–earlystop_nsteps 6
–estop_mean_thresh 0.1
–estop_std_thresh 0.1
–dropout_rate 0.22
–learning_rate 0.00095
–report_count 100
–use_seq_length False
–export_dir /home/javi/speech/tools/backup/export_modal/
–checkpoint_dir /home/javi/speech/tools/backup/checkout/
–alphabet_config_path /home/javi/speech/tools/DeepSpeechWorking/data/alphabet.txt
–lm_binary_path /home/javi/speech/tools/DeepSpeechWorking/data/lm.binary
–lm_trie_path /home/javi/speech/tools/DeepSpeechWorking/data/trie
“$@”

4

Again, you need to be more explicit in your setup. You mention TensorFlow 1.13 and ds-ctcdecoder 0.5.1. Are you training with DeepSpeech checkout of v0.5.1 ?

Where does your language model and trie comes from ? All of that is inconsistent, and you don’t document your exact setup.

5

yes

I am using Kenlm and checking this link to → TUTORIAL : How I trained a specific french model to control my robot

to create lm.binary and trie.

Could you please tell me which version is compatible for this → deepspeech 0.6.0a4
ds-ctcdecoder 0.5.1

6

That tutorial is a bit old, that’s why you need to explicitely document what you do …

Could you please articulate a question here ? I’ve already explained you that those versions can’t be compatible.

1 Like
7

@javi.rahman So again, we do document everything on training and building a LM in the repo. Check README.md and data/lm/README.md …

1 Like