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

**URL:** <https://forum.rasa.com/t/training-seems-to-finish-properly-but-there-is-no-new-model-after-2-hours/36123>\
**Category:** \[Deprecated\] Rasa X Community Edition\
**Created:** [October 21, 2020, 9:08am UTC](https://forum.rasa.com/t/training-seems-to-finish-properly-but-there-is-no-new-model-after-2-hours/36123 "2020-10-21T09:08:18Z")\
**Posts on this page:** 9\
**Page:** 1

<div class="post-metadata">

**Author:** ![zipi](https://avatars.discourse-cdn.com/v4/letter/z/df705f/32.png) [@zipi](https://forum.rasa.com/u/zipi)\
**Post date:** [October 21, 2020, 9:08am UTC](https://forum.rasa.com/t/training-seems-to-finish-properly-but-there-is-no-new-model-after-2-hours/36123/1 "2020-10-21T09:08:18Z")

</div>

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 …

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<div class="post-metadata">

**Author:** ![stephens](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/stephens/32/1632_2.png) [@stephens](https://forum.rasa.com/u/stephens)\
**Post date:** [October 21, 2020, 3:22pm UTC](https://forum.rasa.com/t/training-seems-to-finish-properly-but-there-is-no-new-model-after-2-hours/36123/2 "2020-10-21T15:22:33Z")

</div>

Can you run the `rasa train` locally.

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<div class="post-metadata">

**Author:** ![zipi](https://avatars.discourse-cdn.com/v4/letter/z/df705f/32.png) [@zipi](https://forum.rasa.com/u/zipi)\
**Post date:** [October 22, 2020, 9:20am UTC](https://forum.rasa.com/t/training-seems-to-finish-properly-but-there-is-no-new-model-after-2-hours/36123/3 "2020-10-22T09:20:31Z")

</div>

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?

---

<div class="post-metadata">

**Author:** ![stephens](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/stephens/32/1632_2.png) [@stephens](https://forum.rasa.com/u/stephens)\
**Post date:** [October 22, 2020, 10:24pm UTC](https://forum.rasa.com/t/training-seems-to-finish-properly-but-there-is-no-new-model-after-2-hours/36123/4 "2020-10-22T22:24:28Z")

</div>

I was suggesting a local/laptop install as described [here](https://rasa.com/docs/rasa/installation). 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.

---

<div class="post-metadata">

**Author:** ![zipi](https://avatars.discourse-cdn.com/v4/letter/z/df705f/32.png) [@zipi](https://forum.rasa.com/u/zipi)\
**Post date:** [October 23, 2020, 9:10am UTC](https://forum.rasa.com/t/training-seems-to-finish-properly-but-there-is-no-new-model-after-2-hours/36123/5 "2020-10-23T09:10:40Z")

</div>

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.

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(venv) root@chatbotq01:/opt/mcb# pip3 install rasa
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  Downloading https://files.pythonhosted.org/packages/4f/a4/879454d49688e2fad93e59d7d4efda580b783c745fd2ec2a3adf87b0808d/pytz-2020.1-py2.py3-none-any.whl (510kB)
    100% |████████████████████████████████| 512kB 2.2MB/s
Collecting scikit-learn<0.24,>=0.22 (from rasa)
  Downloading https://files.pythonhosted.org/packages/5c/a1/273def87037a7fb010512bbc5901c31cfddfca8080bc63b42b26e3cc55b3/scikit_learn-0.23.2-cp36-cp36m-manylinux1_x86_64.whl (6.8MB)
    100% |████████████████████████████████| 6.8MB 223kB/s
Collecting numpy<2.0,>=1.16 (from rasa)
  Downloading https://files.pythonhosted.org/packages/b8/e5/a64ef44a85397ba3c377f6be9c02f3cb3e18023f8c89850dd319e7945521/numpy-1.19.2-cp36-cp36m-manylinux1_x86_64.whl (13.4MB)
    100% |████████████████████████████████| 13.4MB 114kB/s
Collecting tensorflow<2.4,>=2.3 (from rasa)
  Could not find a version that satisfies the requirement tensorflow<2.4,>=2.3 (from rasa) (from versions: 0.12.1, 1.0.0, 1.0.1, 1.1.0rc0, 1.1.0rc1, 1.1.0rc2, 1.1.0, 1.2.0rc0, 1.2.0rc1, 1.2.0rc2, 1.2.0, 1.2.1, 1.3.0rc0, 1.3.0rc1, 1.3.0rc2, 1.3.0, 1.4.0rc0, 1.4.0rc1, 1.4.0, 1.4.1, 1.5.0rc0, 1.5.0rc1, 1.5.0, 1.5.1, 1.6.0rc0, 1.6.0rc1, 1.6.0, 1.7.0rc0, 1.7.0rc1, 1.7.0, 1.7.1, 1.8.0rc0, 1.8.0rc1, 1.8.0, 1.9.0rc0, 1.9.0rc1, 1.9.0rc2, 1.9.0, 1.10.0rc0, 1.10.0rc1, 1.10.0, 1.10.1, 1.11.0rc0, 1.11.0rc1, 1.11.0rc2, 1.11.0, 1.12.0rc0, 1.12.0rc1, 1.12.0rc2, 1.12.0, 1.12.2, 1.12.3, 1.13.0rc0, 1.13.0rc1, 1.13.0rc2, 1.13.1, 1.13.2, 1.14.0rc0, 1.14.0rc1, 1.14.0, 2.0.0a0, 2.0.0b0, 2.0.0b1)
No matching distribution found for tensorflow<2.4,>=2.3 (from rasa)

```

Thanks, how can I proceed now?

---

<div class="post-metadata">

**Author:** ![stephens](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/stephens/32/1632_2.png) [@stephens](https://forum.rasa.com/u/stephens)\
**Post date:** [October 26, 2020, 8:52pm UTC](https://forum.rasa.com/t/training-seems-to-finish-properly-but-there-is-no-new-model-after-2-hours/36123/6 "2020-10-26T20:52:27Z")

</div>

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

---

<div class="post-metadata">

**Author:** ![zipi](https://avatars.discourse-cdn.com/v4/letter/z/df705f/32.png) [@zipi](https://forum.rasa.com/u/zipi)\
**Post date:** [November 2, 2020, 1:12pm UTC](https://forum.rasa.com/t/training-seems-to-finish-properly-but-there-is-no-new-model-after-2-hours/36123/7 "2020-11-02T13:12:46Z")

</div>

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.

---

<div class="post-metadata">

**Author:** ![stephens](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/stephens/32/1632_2.png) [@stephens](https://forum.rasa.com/u/stephens)\
**Post date:** [November 3, 2020, 2:39am UTC](https://forum.rasa.com/t/training-seems-to-finish-properly-but-there-is-no-new-model-after-2-hours/36123/8 "2020-11-03T02:39:03Z")

</div>

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

---

<div class="post-metadata">

**Author:** ![zipi](https://avatars.discourse-cdn.com/v4/letter/z/df705f/32.png) [@zipi](https://forum.rasa.com/u/zipi)\
**Post date:** [November 4, 2020, 10:58am UTC](https://forum.rasa.com/t/training-seems-to-finish-properly-but-there-is-no-new-model-after-2-hours/36123/9 "2020-11-04T10:58:18Z")

</div>

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](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](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](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](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](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](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](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](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](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](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](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](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](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](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)