spaCy/spacy/pipeline/defaults/multitask_defaults.cfg

[model]
@architectures = "spacy.MultiTask.v1"
maxout_pieces = 3
token_vector_width = 96

[model.tok2vec]
@architectures = "spacy.HashEmbedCNN.v1"
pretrained_vectors = null
width = 96
depth = 4
embed_size = 2000
window_size = 1
maxout_pieces = 2
subword_features = true
dropout = null
train is from-config by default (#5575) * verbose and tag_map options * adding init_tok2vec option and only changing the tok2vec that is specified * adding omit_extra_lookups and verifying textcat config * wip * pretrain bugfix * add replace and resume options * train_textcat fix * raw text functionality * improve UX when KeyError or when input data can't be parsed * avoid unnecessary access to goldparse in TextCat pipe * save performance information in nlp.meta * add noise_level to config * move nn_parser's defaults to config file * multitask in config - doesn't work yet * scorer offering both F and AUC options, need to be specified in config * add textcat verification code from old train script * small fixes to config files * clean up * set default config for ner/parser to allow create_pipe to work as before * two more test fixes * small fixes * cleanup * fix NER pickling + additional unit test * create_pipe as before 2020-06-12 03:02:07 +03:00			`[model]`
			`@architectures = "spacy.MultiTask.v1"`
			`maxout_pieces = 3`
			`token_vector_width = 96`

			`[model.tok2vec]`
			`@architectures = "spacy.HashEmbedCNN.v1"`
			`pretrained_vectors = null`
			`width = 96`
			`depth = 4`
			`embed_size = 2000`
			`window_size = 1`
			`maxout_pieces = 2`
			`subword_features = true`
			`dropout = null`