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Update config
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@ -4,16 +4,16 @@ 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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vectors = "tmp/fasttext_vectors/vocab"
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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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scores = ["tag_acc", "dep_uas", "dep_las"]
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scores = ["tag_acc", "dep_uas", "dep_las", "speed"]
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score_weights = {"dep_las": 0.8, "tag_acc": 0.2}
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limit = 0
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seed = 0
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accumulate_gradient = 2
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accumulate_gradient = 1
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discard_oversize = false
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raw_text = null
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tag_map = null
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@ -22,7 +22,7 @@ base_model = null
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eval_batch_size = 128
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use_pytorch_for_gpu_memory = false
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batch_by = "padded"
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batch_by = "words"
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[training.batch_size]
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@schedules = "compounding.v1"
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@ -65,7 +65,7 @@ min_action_freq = 1
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[components.tagger.model.tok2vec]
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@architectures = "spacy.Tok2VecListener.v1"
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width = ${components.tok2vec.model:width}
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width = ${components.tok2vec.model.encode:width}
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[components.parser.model]
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@architectures = "spacy.TransitionBasedParser.v1"
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@ -75,20 +75,21 @@ maxout_pieces = 3
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[components.parser.model.tok2vec]
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@architectures = "spacy.Tok2VecListener.v1"
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width = ${components.tok2vec.model:width}
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width = ${components.tok2vec.model.encode:width}
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[components.tok2vec.model]
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@architectures = "spacy.Tok2Vec.v1"
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[components.tok2vec.model.embed]
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@architectures = "spacy.HashEmbed.v1"
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width = 96
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@architectures = "spacy.MultiHashEmbed.v1"
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width = ${components.tok2vec.model.encode:width}
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rows = 2000
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also_use_subwords = true
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also_use_static_vectors = false
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also_embed_subwords = true
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also_use_static_vectors = true
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[components.tok2vec.model.encode]
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@architectures = "spacy.MaxoutWindowEncode.v1"
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@architectures = "spacy.MaxoutWindowEncoder.v1"
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width = 96
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depth = 4
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window_size = 1
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maxout_pieces = 3
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