mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-13 13:17:06 +03:00
7f5715a081
* setting KB in the EL constructor, similar to how the model is passed on * removing wikipedia example files - moved to projects * throw an error when nlp.update is called with 2 positional arguments * rewriting the config logic in create pipe to accomodate for other objects (e.g. KB) in the config * update config files with new parameters * avoid training pipeline components that don't have a model (like sentencizer) * various small fixes + UX improvements * small fixes * set thinc to 8.0.0a9 everywhere * remove outdated comment
47 lines
769 B
INI
47 lines
769 B
INI
[training]
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use_gpu = -1
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limit = 0
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dropout = 0.2
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patience = 10000
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eval_frequency = 200
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scores = ["ents_p", "ents_r", "ents_f"]
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score_weights = {"ents_f": 1}
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orth_variant_level = 0.0
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gold_preproc = true
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max_length = 0
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seed = 0
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accumulate_gradient = 2
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[training.batch_size]
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@schedules = "compounding.v1"
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start = 3000
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stop = 3000
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compound = 1.001
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[optimizer]
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@optimizers = "Adam.v1"
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learn_rate = 0.001
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beta1 = 0.9
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beta2 = 0.999
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[nlp]
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lang = "en"
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vectors = null
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[nlp.pipeline.ner]
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factory = "simple_ner"
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[nlp.pipeline.ner.model]
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@architectures = "spacy.BiluoTagger.v1"
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[nlp.pipeline.ner.model.tok2vec]
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@architectures = "spacy.HashEmbedCNN.v1"
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width = 128
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depth = 4
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embed_size = 7000
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maxout_pieces = 3
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window_size = 1
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subword_features = true
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pretrained_vectors = null
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