Closed
Description
Rasa version:
2.4.5
Python version:
3.7.9
Operating system (windows, osx, ...):
mac 10.15.7
Issue:
Normally when training this story AugmentedMemoizationPolicy should always kick in, we have noticed that after retraining and trying to do this story, it fails to use augmentation policy on the 3rd step once in a while. We checked the hashes and noticed that every few builds of the model these change for some reason.
Command used for training:
rasa train --augmentation 0
Content of configuration file (config.yml) (if relevant):
# Configuration for Rasa Core.
policies:
- name: AugmentedMemoizationPolicy
max_history: 6
- name: TEDPolicy
max_history: 6
epochs: 30
- name: FormPolicy
- name: RulePolicy
core_fallback_threshold: 0.3
core_fallback_action_name: "action_fallback_core"
enable_fallback_prediction: True
check_for_contradictions: True
**Content of domain file (domain.yml)** (if relevant):
```yml
slot_one is a categorical one
training story
version: "2.0"
stories:
- story: example story
steps:
- intent: intent_one
- action: action_one
- slot_was_set:
- slot_one: 1+
- action: utter_one
- intent: intent_two
entities:
- entity_one: entity_one_value
- entity_two: entity_two_value
- action: action_three