Add config for joint dep pos

examples/experiments/joint-dep-pos.cfg

@@ -0,0 +1,78 @@
+[training]
+patience = 10000
+eval_frequency = 50
+dropout = 0.2
+init_tok2vec = null
+vectors = null
+max_epochs = 100
+orth_variant_level = 0.0
+gold_preproc = true
+max_length = 0
+use_gpu = -1
+scores = ["tags_acc", "uas", "las"]
+score_weights = {"las": 0.8, "tags_acc": 0.2}
+limit = 0
+seed = 0
+accumulate_gradient = 1
+discard_oversize = false
+batch_size = 1000
+batch_by = "words"
+
+#[training.batch_size]
+#@schedules = "compounding.v1"
+#start = 100
+#stop = 1000
+#compound = 1.001
+
+[training.optimizer]
+@optimizers = "Adam.v1"
+learn_rate = 0.001
+beta1 = 0.9
+beta2 = 0.999
+
+[nlp]
+lang = "en"
+vectors = ${training:vectors}
+
+[nlp.pipeline]
+
+[nlp.pipeline.tok2vec]
+factory = "tok2vec"
+
+[nlp.pipeline.tagger]
+factory = "tagger"
+
+[nlp.pipeline.parser]
+factory = "parser"
+learn_tokens = false
+min_action_freq = 1
+beam_width = 1
+beam_update_prob = 1.0
+
+[nlp.pipeline.tagger.model]
+@architectures = "spacy.Tagger.v1"
+
+[nlp.pipeline.tagger.model.tok2vec]
+@architectures = "spacy.Tok2VecTensors.v1"
+width = ${nlp.pipeline.tok2vec.model:width}
+
+[nlp.pipeline.parser.model]
+@architectures = "spacy.TransitionBasedParser.v1"
+nr_feature_tokens = 8
+hidden_width = 64
+maxout_pieces = 3
+
+[nlp.pipeline.parser.model.tok2vec]
+@architectures = "spacy.Tok2VecTensors.v1"
+width = ${nlp.pipeline.tok2vec.model:width}
+
+[nlp.pipeline.tok2vec.model]
+@architectures = "spacy.HashEmbedCNN.v1"
+pretrained_vectors = ${nlp:vectors}
+width = 128
+depth = 4
+window_size = 1
+embed_size = 2000
+maxout_pieces = 3
+subword_features = true
+dropout = null