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Merge pull request #6106 from svlandeg/feature/textcat-quickstart

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Ines Montani 2020-09-23 10:11:45 +02:00 committed by GitHub
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2 changed files with 88 additions and 2 deletions
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2
spacy/cli/init_config.py
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@ -36,7 +36,7 @@ def init_config_cli(
"""
Generate a starter config.cfg for training. Based on your requirements
specified via the CLI arguments, this command generates a config with the
optimal settings for you use case. This includes the choice of architecture,
optimal settings for your use case. This includes the choice of architecture,
pretrained weights and related hyperparameters.
DOCS: https://nightly.spacy.io/api/cli#init-config

88
spacy/cli/templates/quickstart_training.jinja
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@ -93,6 +93,49 @@ grad_factor = 1.0
@layers = "reduce_mean.v1"
{% endif -%}
{% if "entity_linker" in components -%}
[components.entity_linker]
factory = "entity_linker"
get_candidates = {"@misc":"spacy.CandidateGenerator.v1"}
incl_context = true
incl_prior = true
[components.entity_linker.model]
@architectures = "spacy.EntityLinker.v1"
nO = null
[components.entity_linker.model.tok2vec]
@architectures = "spacy-transformers.TransformerListener.v1"
grad_factor = 1.0
[components.entity_linker.model.tok2vec.pooling]
@layers = "reduce_mean.v1"
{% endif -%}
{% if "textcat" in components %}
[components.textcat]
factory = "textcat"
{% if optimize == "accuracy" %}
[components.textcat.model]
@architectures = "spacy.TextCatEnsemble.v1"
exclusive_classes = false
width = 64
conv_depth = 2
embed_size = 2000
window_size = 1
ngram_size = 1
nO = null
{% else -%}
[components.textcat.model]
@architectures = "spacy.TextCatBOW.v1"
exclusive_classes = false
ngram_size = 1
no_output_layer = false
{%- endif %}
{%- endif %}
{# NON-TRANSFORMER PIPELINE #}
{% else -%}
@ -167,10 +210,50 @@ nO = null
@architectures = "spacy.Tok2VecListener.v1"
width = ${components.tok2vec.model.encode.width}
{% endif %}
{% if "entity_linker" in components -%}
[components.entity_linker]
factory = "entity_linker"
get_candidates = {"@misc":"spacy.CandidateGenerator.v1"}
incl_context = true
incl_prior = true
[components.entity_linker.model]
@architectures = "spacy.EntityLinker.v1"
nO = null
[components.entity_linker.model.tok2vec]
@architectures = "spacy.Tok2VecListener.v1"
width = ${components.tok2vec.model.encode.width}
{% endif %}
{% if "textcat" in components %}
[components.textcat]
factory = "textcat"
{% if optimize == "accuracy" %}
[components.textcat.model]
@architectures = "spacy.TextCatEnsemble.v1"
exclusive_classes = false
width = 64
conv_depth = 2
embed_size = 2000
window_size = 1
ngram_size = 1
nO = null
{% else -%}
[components.textcat.model]
@architectures = "spacy.TextCatBOW.v1"
exclusive_classes = false
ngram_size = 1
no_output_layer = false
{%- endif %}
{%- endif %}
{% endif %}
{% for pipe in components %}
{% if pipe not in ["tagger", "parser", "ner"] %}
{% if pipe not in ["tagger", "parser", "ner", "textcat", "entity_linker"] %}
{# Other components defined by the user: we just assume they're factories #}
[components.{{ pipe }}]
factory = "{{ pipe }}"
@ -245,3 +328,6 @@ ents_f = {{ (1.0 / components|length)|round(2) }}
ents_p = 0.0
ents_r = 0.0
{%- endif -%}
{%- if "textcat" in components %}
cats_score = {{ (1.0 / components|length)|round(2) }}
{%- endif -%}