Training seems to finish properly, but there is no new model after 2 hours

[Deprecated] Rasa X Community Edition
1

Hi,

since using the pipeline with epochs 200 instead of 100 training does not produce a new model anymore. Training takes around 80 Minutes. There is nothing in the worker log, e.g. docker logs --tail 50 --follow --timestamps rasa_docker_0321_rasa-worker_1

Also the container did not restart, uptime is still ok, there is just no new model to activate.

pipeline being:

language: de pipeline:

  • name: SpacyNLP case_sensitive: false
  • name: SpacyTokenizer
  • name: SpacyFeaturizer
  • name: RegexFeaturizer
  • name: LexicalSyntacticFeaturizer
  • name: CountVectorsFeaturizer
  • name: DIETClassifier epochs: 200
  • name: EntitySynonymMapper
  • name: ResponseSelector epochs: 200 policies:
  • name: MemoizationPolicy
  • name: TEDPolicy max_history: 5 epochs: 200
  • name: MappingPolicy
  • name: FallbackPolicy nlu_threshold: 0.3 ambiguity_threshold: 0.1 core_threshold: 0.3 fallback_action_name: utter_not_solved_de

Any suggestion why it doesnt produce a model anymore, but also does not fail? epochs 100 did produce predictions which were not good enough, so i want to try 200 …

2

Can you run the rasa train locally.

3

Thanks, how can i do that? I tried with shelling into the worker container but it didnt work

docker exec -it rasa_docker_0321_rasa-worker_1 /bin/bash
I have no name!@6e83145d68c0:/app$ rasa train
The path 'config.yml' does not exist. Please make sure to use the default location ('config.yml') or specify it with '--config'.

I did a search for domain.yml and only found it in the container in virtual env by python, so i suppose the file might be named differently?

Can you help me how to run this manually, e.g. not by clicking train?

4

I was suggesting a local/laptop install as described here. You would pull the git repo with your rasa bot training data and run the train from the command line.

Inside of the rasa-worker, you should find the project in the /app directory.

5

Hi @stephens ,

i don’t have a laptop installation. The whole point of the offered RASA docker containers for me is to avoid setting something up myself which might be flawed. So it should be possible to diagnose the official docker containers, no?

Unfortunately the /app directory is empty, so it might not work that way.

I have no name!@1954e1bc4e76:/app$ ls -la
total 8
drwxrwxr-x 1 root root 4096 Aug  4 12:27 .
drwxr-xr-x 1 root root 4096 Oct 23 04:00 ..

Is there any decent way, except “docker-compose up” and watching for output, to diagnose why there is no model after a long training time, but no error message either?

Only messages in the output except nginx are:

rasa-x_1           | Exception occurred while handling uri: 'http://chatbotq01/api/projects/default/models/jobs'
rasa-x_1           | NoneType: None

Edit:

I tried to set up a basic rasa, but that doesnt work, there is no tensorflow available. Tried on Ubuntu 18.04.5 LTS.

(venv) root@chatbotq01:/opt/mcb# pip3 install rasa
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No matching distribution found for tensorflow<2.4,>=2.3 (from rasa)

Thanks, how can I proceed now?

6

It’s possible you are running out of memory. Start a train and tail the log of rasa-worker.

7

Hi,

there is no log entry. And the container has no new “up time” which would be the case if it restarted due to OoM. The machine has 40 GB RAM … so it should not run out of memory.

8

Sorry, I missed the tensorflow error. Looks like you need to install 2.3.x.

9

Current pip install for rasa seems to be broken, as it doesnt pull requirements.

Now failing on tensorflow-addons.

(venv) root@chatbotq01:/opt/mcb/venv/bin# pip3 install rasa Collecting rasa Downloading https://files.pythonhosted.org/packages/e0/e8/55a4bb89be469b1e60e0caef3d05c50be69172f4c70c6d2164c1030bdda7/rasa-2.0.3-py3-none-any.whl (624kB) 100% |████████████████████████████████| 624kB 1.4MB/s Collecting attrs<20.3,>=19.3 (from rasa) Downloading https://files.pythonhosted.org/packages/14/df/479736ae1ef59842f512548bacefad1abed705e400212acba43f9b0fa556/attrs-20.2.0-py2.py3-none-any.whl (48kB) 100% |████████████████████████████████| 51kB 4.0MB/s Collecting tensorflow-probability<0.12,>=0.11 (from rasa) Downloading https://files.pythonhosted.org/packages/b3/99/07d4220b021a5d6f6b3de8872f2a634389ad224f8508258452e57aaaf328/tensorflow_probability-0.11.1-py2.py3-none-any.whl (4.3MB) 100% |████████████████████████████████| 4.3MB 340kB/s Collecting matplotlib<3.4,>=3.1 (from rasa) Downloading https://files.pythonhosted.org/packages/cd/d6/8c4dfb23151d5a494c66ebbfdb5c8c433b44ec07fae52da5939fcda0943f/matplotlib-3.3.2-cp36-cp36m-manylinux1_x86_64.whl (11.6MB) 100% |████████████████████████████████| 11.6MB 127kB/s Collecting regex<2020.10,>=2020.6 (from rasa) Downloading https://files.pythonhosted.org/packages/3d/e7/352f352776288ed59726cd3739b4db685908f0e92eb9baa9f76809f9cd16/regex-2020.9.27-cp36-cp36m-manylinux1_x86_64.whl (662kB) 100% |████████████████████████████████| 665kB 1.5MB/s Collecting ujson<4.0,>=1.35 (from rasa) Downloading https://files.pythonhosted.org/packages/1c/8f/51bb597e79e4c642395c4512218dc6b475773701e67a84602c82fbdb77c9/ujson-3.2.0-cp36-cp36m-manylinux1_x86_64.whl (179kB) 100% |████████████████████████████████| 184kB 2.5MB/s Collecting mattermostwrapper<2.3,>=2.2 (from rasa) Downloading https://files.pythonhosted.org/packages/d7/fd/f1ce046ddaeffa5073f87d7800c27ad2c8e543e924a8418675c64aea6a14/mattermostwrapper-2.2.tar.gz Collecting rasa-sdk<3.0.0,>=2.0.0 (from rasa) Downloading https://files.pythonhosted.org/packages/5a/e3/bac697395d44e4d7dd983b3240cdb75dd7e7ce21eccf4f92659ff26cd555/rasa_sdk-2.0.0-py3-none-any.whl (41kB) 100% |████████████████████████████████| 51kB 4.5MB/s Collecting jsonpickle<1.5,>=1.3 (from rasa) Downloading https://files.pythonhosted.org/packages/af/ca/4fee219cc4113a5635e348ad951cf8a2e47fed2e3342312493f5b73d0007/jsonpickle-1.4.1-py2.py3-none-any.whl Collecting oauth2client==4.1.3 (from rasa) Downloading https://files.pythonhosted.org/packages/95/a9/4f25a14d23f0786b64875b91784607c2277eff25d48f915e39ff0cff505a/oauth2client-4.1.3-py2.py3-none-any.whl (98kB) 100% |████████████████████████████████| 102kB 3.3MB/s Collecting colorhash<1.1.0,>=1.0.2 (from rasa) Downloading https://files.pythonhosted.org/packages/0e/e1/50dbc513aa74e99eca4c47f2a8206711f0bec436fdddd95eebaf7eaaa1aa/colorhash-1.0.2-py2.py3-none-any.whl Collecting apscheduler<3.7,>=3.6 (from rasa) Downloading https://files.pythonhosted.org/packages/f3/34/9ef20ed473c4fd2c3df54ef77a27ae3fc7500b16b192add4720cab8b2c09/APScheduler-3.6.3-py2.py3-none-any.whl (58kB) 100% |████████████████████████████████| 61kB 2.1MB/s Collecting async_generator<1.11,>=1.10 (from rasa) Downloading https://files.pythonhosted.org/packages/71/52/39d20e03abd0ac9159c162ec24b93fbcaa111e8400308f2465432495ca2b/async_generator-1.10-py3-none-any.whl Collecting sentry-sdk<0.20.0,>=0.17.0 (from rasa) Downloading https://files.pythonhosted.org/packages/86/36/afa3c32f61cb62bef0da7200651d41f36b8b069d9f6254d8df8a20b224b8/sentry_sdk-0.19.2-py2.py3-none-any.whl (127kB) 100% |████████████████████████████████| 133kB 1.9MB/s Collecting tensorflow-addons<=0.12,>=0.10 (from rasa) Could not find a version that satisfies the requirement tensorflow-addons<=0.12,>=0.10 (from rasa) (from versions: ) No matching distribution found for tensorflow-addons<=0.12,>=0.10 (from rasa)