{# Template for "CPU" configs. The transformer will use a different template. #}
# This is an auto-generated partial config for training a model.
# To use it for training, auto-fill it with all default values.
# python -m spacy init config config.cfg --base base_config.cfg
[paths]
train = ""
dev = ""

[nlp]
lang = "{{ lang }}"
pipeline = {{ pipeline|safe }}
vectors = {{ ('"en_vectors_web_lg"' if optimize == "accuracy" else false)|safe }}
tokenizer = {"@tokenizers": "spacy.Tokenizer.v1"}

[components]

[components.tok2vec]
factory = "tok2vec"

[components.tok2vec.model]
@architectures = "spacy.Tok2Vec.v1"

[components.tok2vec.model.embed]
@architectures = "spacy.MultiHashEmbed.v1"
width = ${components.tok2vec.model.encode:width}
rows = {{ 2000 if optimize == "efficiency" else 7000 }}
also_embed_subwords = {{ true if has_letters else false }}
also_use_static_vectors = {{ true if optimize == "accuracy" else false }}

[components.tok2vec.model.encode]
@architectures = "spacy.MaxoutWindowEncoder.v1"
width = {{ 96 if optimize == "efficiency" else 256 }}
depth = {{ 4 if optimize == "efficiency" else 8 }}
window_size = 1
maxout_pieces = 3

{% if "tagger" in components %}
[components.tagger]
factory = "tagger"

[components.tagger.model]
@architectures = "spacy.Tagger.v1"
nO = null

[components.tagger.model.tok2vec]
@architectures = "spacy.Tok2VecListener.v1"
width = ${components.tok2vec.model.encode:width}
{%- endif %}

{% if "parser" in components -%}
[components.parser]
factory = "parser"

[components.parser.model]
@architectures = "spacy.TransitionBasedParser.v1"
nr_feature_tokens = 8
hidden_width = 128
maxout_pieces = 3
use_upper = true
nO = null

[components.parser.model.tok2vec]
@architectures = "spacy.Tok2VecListener.v1"
width = ${components.tok2vec.model.encode:width}
{%- endif %}

{% if "ner" in components -%}
[components.ner]
factory = "ner"

[components.ner.model]
@architectures = "spacy.TransitionBasedParser.v1"
nr_feature_tokens = 6
hidden_width = 64
maxout_pieces = 2
use_upper = true
nO = null

[components.ner.model.tok2vec]
@architectures = "spacy.Tok2VecListener.v1"
width = ${components.tok2vec.model.encode:width}
{% endif -%}

[training]

[training.train_corpus]
@readers = "spacy.Corpus.v1"
path = ${paths:train}

[training.dev_corpus]
@readers = "spacy.Corpus.v1"
path = ${paths:dev}

[training.score_weights]
{%- if "tagger" in components %}
tag_acc = {{ (1.0 / components|length)|round() }}
{%- endif -%}
{%- if "parser" in components %}
dep_uas = 0.0
dep_las = {{ (1.0 / components|length)|round() }}
sents_f = 0.0
{%- endif %}
{%- if "ner" in components %}
ents_f = {{ (1.0 / components|length)|round() }}
ents_p = 0.0
ents_r = 0.0
{%- endif -%}