Delete config.cfg

config.cfg

@@ -1,314 +0,0 @@
-[paths]
-train = null
-dev = null
-vectors = null
-init_tok2vec = null
-
-[system]
-gpu_allocator = null
-seed = 0
-
-[nlp]
-lang = "de"
-pipeline = ["tok2vec","tagger","morphologizer","parser","lemmatizer","senter","attribute_ruler","ner"]
-disabled = ["senter"]
-before_creation = null
-after_creation = null
-after_pipeline_creation = null
-batch_size = 256
-tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
-vectors = {"@vectors":"spacy.Vectors.v1"}
-
-[components]
-
-[components.attribute_ruler]
-factory = "attribute_ruler"
-scorer = {"@scorers":"spacy.attribute_ruler_scorer.v1"}
-validate = false
-
-[components.lemmatizer]
-factory = "trainable_lemmatizer"
-backoff = "orth"
-min_tree_freq = 3
-overwrite = false
-scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
-top_k = 1
-
-[components.lemmatizer.model]
-@architectures = "spacy.Tagger.v2"
-nO = null
-normalize = false
-
-[components.lemmatizer.model.tok2vec]
-@architectures = "spacy.Tok2VecListener.v1"
-width = ${components.tok2vec.model.encode:width}
-upstream = "tok2vec"
-
-[components.morphologizer]
-factory = "morphologizer"
-extend = false
-label_smoothing = 0.0
-overwrite = true
-scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
-
-[components.morphologizer.model]
-@architectures = "spacy.Tagger.v2"
-nO = null
-normalize = false
-
-[components.morphologizer.model.tok2vec]
-@architectures = "spacy.Tok2VecListener.v1"
-width = ${components.tok2vec.model.encode:width}
-upstream = "tok2vec"
-
-[components.ner]
-factory = "ner"
-incorrect_spans_key = null
-moves = null
-scorer = {"@scorers":"spacy.ner_scorer.v1"}
-update_with_oracle_cut_size = 100
-
-[components.ner.model]
-@architectures = "spacy.TransitionBasedParser.v2"
-state_type = "ner"
-extra_state_tokens = false
-hidden_width = 64
-maxout_pieces = 2
-use_upper = true
-nO = null
-
-[components.ner.model.tok2vec]
-@architectures = "spacy.Tok2Vec.v2"
-
-[components.ner.model.tok2vec.embed]
-@architectures = "spacy.MultiHashEmbed.v2"
-width = 96
-attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
-rows = [5000,1000,2500,2500]
-include_static_vectors = true
-
-[components.ner.model.tok2vec.encode]
-@architectures = "spacy.MaxoutWindowEncoder.v2"
-width = 96
-depth = 4
-window_size = 1
-maxout_pieces = 3
-
-[components.parser]
-factory = "parser"
-learn_tokens = false
-min_action_freq = 30
-moves = null
-scorer = {"@scorers":"spacy.parser_scorer.v1"}
-update_with_oracle_cut_size = 100
-
-[components.parser.model]
-@architectures = "spacy.TransitionBasedParser.v2"
-state_type = "parser"
-extra_state_tokens = false
-hidden_width = 64
-maxout_pieces = 2
-use_upper = true
-nO = null
-
-[components.parser.model.tok2vec]
-@architectures = "spacy.Tok2VecListener.v1"
-width = ${components.tok2vec.model.encode:width}
-upstream = "tok2vec"
-
-[components.senter]
-factory = "senter"
-overwrite = false
-scorer = {"@scorers":"spacy.senter_scorer.v1"}
-
-[components.senter.model]
-@architectures = "spacy.Tagger.v2"
-nO = null
-normalize = false
-
-[components.senter.model.tok2vec]
-@architectures = "spacy.Tok2Vec.v2"
-
-[components.senter.model.tok2vec.embed]
-@architectures = "spacy.MultiHashEmbed.v2"
-width = 16
-attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
-rows = [1000,500,500,500,50]
-include_static_vectors = true
-
-[components.senter.model.tok2vec.encode]
-@architectures = "spacy.MaxoutWindowEncoder.v2"
-width = 16
-depth = 2
-window_size = 1
-maxout_pieces = 2
-
-[components.tagger]
-factory = "tagger"
-label_smoothing = 0.0
-neg_prefix = "!"
-overwrite = false
-scorer = {"@scorers":"spacy.tagger_scorer.v1"}
-
-[components.tagger.model]
-@architectures = "spacy.Tagger.v2"
-nO = null
-normalize = false
-
-[components.tagger.model.tok2vec]
-@architectures = "spacy.Tok2VecListener.v1"
-width = ${components.tok2vec.model.encode:width}
-upstream = "tok2vec"
-
-[components.tok2vec]
-factory = "tok2vec"
-
-[components.tok2vec.model]
-@architectures = "spacy.Tok2Vec.v2"
-
-[components.tok2vec.model.embed]
-@architectures = "spacy.MultiHashEmbed.v2"
-width = ${components.tok2vec.model.encode:width}
-attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY","IS_SPACE"]
-rows = [5000,1000,2500,2500,50,50]
-include_static_vectors = true
-
-[components.tok2vec.model.encode]
-@architectures = "spacy.MaxoutWindowEncoder.v2"
-width = 96
-depth = 4
-window_size = 1
-maxout_pieces = 3
-
-[corpora]
-
-[corpora.dev]
-@readers = "spacy.Corpus.v1"
-path = ${paths.dev}
-gold_preproc = false
-max_length = 0
-limit = 0
-augmenter = null
-
-[corpora.train]
-@readers = "spacy.Corpus.v1"
-path = ${paths.train}
-gold_preproc = false
-max_length = 0
-limit = 0
-augmenter = null
-
-[training]
-train_corpus = "corpora.train"
-dev_corpus = "corpora.dev"
-seed = ${system:seed}
-gpu_allocator = ${system:gpu_allocator}
-dropout = 0.1
-accumulate_gradient = 1
-patience = 5000
-max_epochs = 0
-max_steps = 100000
-eval_frequency = 1000
-frozen_components = []
-before_to_disk = null
-annotating_components = []
-before_update = null
-
-[training.batcher]
-@batchers = "spacy.batch_by_words.v1"
-discard_oversize = false
-tolerance = 0.2
-get_length = null
-
-[training.batcher.size]
-@schedules = "compounding.v1"
-start = 100
-stop = 1000
-compound = 1.001
-t = 0.0
-
-[training.logger]
-@loggers = "spacy.ConsoleLogger.v1"
-progress_bar = false
-
-[training.optimizer]
-@optimizers = "Adam.v1"
-beta1 = 0.9
-beta2 = 0.999
-L2_is_weight_decay = true
-L2 = 0.01
-grad_clip = 1.0
-use_averages = true
-eps = 0.00000001
-learn_rate = 0.001
-
-[training.score_weights]
-tag_acc = 0.1
-pos_acc = 0.1
-morph_acc = 0.09
-morph_per_feat = null
-dep_uas = 0.0
-dep_las = 0.29
-dep_las_per_type = null
-sents_p = null
-sents_r = null
-sents_f = 0.04
-lemma_acc = 0.1
-ents_f = 0.29
-ents_p = 0.0
-ents_r = 0.0
-ents_per_type = null
-speed = 0.0
-
-[pretraining]
-
-[initialize]
-vocab_data = null
-vectors = ${paths.vectors}
-init_tok2vec = ${paths.init_tok2vec}
-before_init = null
-after_init = null
-
-[initialize.components]
-
-[initialize.components.lemmatizer]
-
-[initialize.components.lemmatizer.labels]
-@readers = "spacy.read_labels.v1"
-path = "corpus/labels/trainable_lemmatizer.json"
-require = false
-
-[initialize.components.morphologizer]
-
-[initialize.components.morphologizer.labels]
-@readers = "spacy.read_labels.v1"
-path = "corpus/labels/morphologizer.json"
-require = false
-
-[initialize.components.ner]
-
-[initialize.components.ner.labels]
-@readers = "spacy.read_labels.v1"
-path = "corpus/labels/ner.json"
-require = false
-
-[initialize.components.parser]
-
-[initialize.components.parser.labels]
-@readers = "spacy.read_labels.v1"
-path = "corpus/labels/parser.json"
-require = false
-
-[initialize.components.tagger]
-
-[initialize.components.tagger.labels]
-@readers = "spacy.read_labels.v1"
-path = "corpus/labels/tagger.json"
-require = false
-
-[initialize.lookups]
-@misc = "spacy.LookupsDataLoader.v1"
-lang = ${nlp.lang}
-tables = ["lexeme_norm"]
-
-[initialize.tokenizer]