spaCy/spacy/cli/templates/quickstart_training_recommendations.yml
2020-08-19 18:46:08 +02:00

104 lines
2.3 KiB
YAML

# Recommended settings and available resources for each language, if available.
# Not all languages have recommended word vectors or transformers and for some,
# the recommended transformer for efficiency and accuracy may be the same.
en:
word_vectors: en_vectors_web_lg
transformer:
efficiency:
name: roberta-base
size_factor: 3
accuracy:
name: roberta-base
size_factor: 3
de:
word_vectors: null
transformer:
efficiency:
name: bert-base-german-cased
size_factor: 3
accuracy:
name: bert-base-german-cased
size_factor: 3
fr:
word_vectors: null
transformer:
efficiency:
name: camembert-base
size_factor: 3
accuracy:
name: camembert-base
size_factor: 3
es:
word_vectors: null
transformer:
efficiency:
name: mrm8488/RuPERTa-base
size_factor: 3
accuracy:
name: mrm8488/RuPERTa-base
size_factor: 3
sv:
word_vectors: null
transformer:
efficiency:
name: KB/bert-base-swedish-cased
size_factor: 3
accuracy:
name: KB/bert-base-swedish-cased
size_factor: 3
fi:
word_vectors: null
transformer:
efficiency:
name: TurkuNLP/bert-base-finnish-cased-v1
size_factor: 3
accuracy:
name: TurkuNLP/bert-base-finnish-cased-v1
size_factor: 3
el:
word_vectors: null
transformer:
efficiency:
name: nlpaueb/bert-base-greek-uncased-v1
size_factor: 3
accuracy:
name: nlpaueb/bert-base-greek-uncased-v1
size_factor: 3
tr:
word_vectors: null
transformer:
efficiency:
name: dbmdz/bert-base-turkish-cased
size_factor: 3
accuracy:
name: dbmdz/bert-base-turkish-cased
size_factor: 3
zh:
word_vectors: null
transformer:
efficiency:
name: bert-base-chinese
size_factor: 3
accuracy:
name: bert-base-chinese
size_factor: 3
has_letters: false
ar:
word_vectors: null
transformer:
efficiency:
name: asafaya/bert-base-arabic
size_factor: 3
accuracy:
name: asafaya/bert-base-arabic
size_factor: 3
pl:
word_vectors: null
transformer:
efficiency:
name: dkleczek/bert-base-polish-cased-v1
size_factor: 3
accuracy:
name: dkleczek/bert-base-polish-cased-v1
size_factor: 3