Rasa upgrade problems

Hi,

At the moment, we are using Rasa 2.7.1, Rasa SDK 2.7.0 and Rasa X 0.41.2. We tried to upgrade it up starting 2.8.0 till latest version 2.8.13 without success, on Rasa local/server:

  • Either there is an error.
  • or it runs but identifying a small portion of trained examples ex:
  • Internet slow (trained exampled: slow, slo, int slow, int slo…), it identifies only slow not other values…

Therefore, we had to roll back to the above original versions. Noting that we training again on each version.

Is anyone else facing the same problem, or you are running the latest version without problems? if yes, what was done?

@paolo_1st can you share the current rasa versions screenshot:

  1. Local Machine: activate env and share the rasa --version
  2. Server: docker image ps or docker ps or whatever ways you had installed the rasa
1)- Local:
rasa --version
Rasa Version      :         2.7.1
Minimum Compatible Version: 2.6.0
Rasa SDK Version  :         2.7.0
Rasa X Version    :         0.41.2
Python Version    :         3.8.10
Operating System  :         Linux-5.11.0-40-generic-x86_64-with-glibc2.29
Python Path       :         /usr/bin/python3

2)- Server:
[root@localhost ~]# docker images
REPOSITORY      TAG       IMAGE ID       CREATED        SIZE
x/x   chatbot   c35c258d5e8c   2 days ago     1.07GB
rasa/rasa-sdk   2.7.0     9681c32b59b0   5 months ago   217MB