ml2021
(Maria)
August 17, 2021, 10:07am
1
Hi,
I am facing an issue when testing my bot. For every valid input (even the first one - greet), the system recognises action_default_fallback(0.20)
repeatedly:
version: “2.0”
stories:
story: Story from Conversation ID
steps:
intent: affirm
action: action_default_fallback
action: action_default_fallback
action: action_default_fallback
My config.yml includes the following:
> policies:
> - name: MemoizationPolicy
> max_history: 7
> - name: TEDPolicy
> max_history: 7
> epochs: 1
> - name: RulePolicy
> core_fallback_threshold: 0.2
> core_fallback_action_name: "action_default_fallback"
Also, my FallbackClassifier uses the following:
> - name: FallbackClassifier
> threshold: 0.6
> ambiguity_threshold: 0.05
Can you please advise me on how to solve this? Thanks!
nik202
(NiK202)
August 17, 2021, 10:09am
2
@ml2021 Hey, If your code is right and you seeing the fallback, can I ask you to delete all the previous trained model and re-train and try.
ml2021
(Maria)
August 17, 2021, 10:20am
3
@nik202 It did not work. No matter what I type, action_default_fallback
is triggered. Any suggestion?
nik202
(NiK202)
August 17, 2021, 10:33am
4
@ml2021 are you following any specific configuration or just normal, can you share your story? and why are you using this any specific reason?
- name: FallbackClassifier
threshold: 0.6
ambiguity_threshold: 0.05
ml2021
(Maria)
August 17, 2021, 10:55am
5
@nik202 Configuration is normal. Stories follow my previous paths in conversation, nothing strange. I tried to remove parameters of FallbackClassifier
so it uses default ones, and now I type “hello” and get the following message:
WARNING rasa.core.processor - Circuit breaker tripped. Stopped predicting more actions for sender …
After this the system does no retrieve more responses, no matter what I type.
What should I do?
nik202
(NiK202)
August 17, 2021, 11:06am
6
@ml2021
Try this:
# Configuration for Rasa NLU.
# https://rasa.com/docs/rasa/nlu/components/
language: en
pipeline:
- name: WhitespaceTokenizer
- name: RegexFeaturizer
- name: LexicalSyntacticFeaturizer
- name: CountVectorsFeaturizer
- name: CountVectorsFeaturizer
analyzer: "char_wb"
min_ngram: 1
max_ngram: 4
- name: DIETClassifier
epochs: 100
ranking_length: 5
constrain_similarities: true
model_confidence: linear_norm
- name: EntitySynonymMapper
- name: ResponseSelector
epochs: 100
constrain_similarities: true
model_confidence: linear_norm
# - name: DucklingHTTPExtractor
# url: http://localhost:9000
# dimensions:
# - question
# - answer
# timezone: UK/London
# timeout: 3
# Configuration for Rasa Core.
# https://rasa.com/docs/rasa/core/policies/
policies:
- name: MemoizationPolicy
- name: TEDPolicy
max_history: 5
epochs: 100
- name: RulePolicy
nlu_threshold: 0.4
core_threshold: 0.4
fallback_action_name: "action_default_fallback"
@ml2021 can you please share your story and rule file, you need to sort your story I guess.
@ml2021 please run the rasa in debug mode rasa shell --debug and share the error screenshot and even action server logs.
1 Like
nik202
(NiK202)
August 19, 2021, 10:44am
7
@ml2021 Hi, I hope you solved this issue or still having some errors, feel free to share and discuss.
ml2021
(Maria)
August 19, 2021, 3:15pm
8
@nik202 Sorry that did not solve the issue, I will have a closer look to my stories, check logs and update here if successful.
c_k_p
(Chirag Patel)
August 27, 2021, 8:58am
9
Have you solved that problem? I am facing same