Training is failing with 503 error. there are 2 flows with multiple branches. Policy given: policies:
- name: TEDPolicy
epochs: 50
max_history: 5
batch_size:
- 32
- 64
- name: FormPolicy
- name: RulePolicy
- name: AugmentedMemoizationPolicy
Pipleline given: pipeline:
- name: WhitespaceTokenizer
- name: LexicalSyntacticFeaturizer
- name: CountVectorsFeaturizer
- name: CountVectorsFeaturizer analyzer: char_wb min_ngram: 1 max_ngram: 4
- name: DIETClassifier epochs: 200
- name: rasa_addons.nlu.components.gazette.Gazette
- name: >- rasa_addons.nlu.components.intent_ranking_canonical_example_injector.IntentRankingCanonicalExampleInjector
- name: EntitySynonymMapper
- name: FallbackClassifier threshold: 0.7
it is deployed on ec2 instance(t3.2xlarge)
when i am decreasing the epochs of tedpolicy, training passed but not getting desired results. Earlier i was using 100 epochs then i reduced to 50.
Please help to resolve the issue