mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-15 06:09:01 +03:00
66 lines
1.2 KiB
INI
66 lines
1.2 KiB
INI
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[training]
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patience = 10000
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eval_frequency = 200
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dropout = 0.2
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init_tok2vec = null
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vectors = null
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max_epochs = 100
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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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use_gpu = -1
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scores = ["tags_acc", "uas", "las"]
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score_weights = {"las": 0.8, "tags_acc": 0.2}
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limit = 0
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[training.batch_size]
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@schedules = "compounding.v1"
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start = 100
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stop = 1000
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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 = ${training:vectors}
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[nlp.pipeline.tok2vec]
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factory = "tok2vec"
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[nlp.pipeline.tagger]
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factory = "tagger"
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[nlp.pipeline.parser]
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factory = "parser"
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[nlp.pipeline.tagger.model]
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@architectures = "tagger_model.v1"
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[nlp.pipeline.tagger.model.tok2vec]
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@architectures = "tok2vec_tensors.v1"
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width = ${nlp.pipeline.tok2vec.model:width}
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[nlp.pipeline.parser.model]
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@architectures = "transition_based_parser.v1"
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nr_feature_tokens = 8
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hidden_width = 64
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maxout_pieces = 3
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[nlp.pipeline.parser.model.tok2vec]
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@architectures = "tok2vec_tensors.v1"
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width = ${nlp.pipeline.tok2vec.model:width}
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[nlp.pipeline.tok2vec.model]
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@architectures = "hash_embed_cnn.v1"
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pretrained_vectors = ${nlp:vectors}
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width = 96
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depth = 4
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window_size = 1
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embed_size = 2000
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maxout_pieces = 3
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