Update config

examples/experiments/ptb-joint-pos-dep/defaults.cfg

@@ -4,16 +4,16 @@ patience = 10000
 eval_frequency = 200
 dropout = 0.2
 init_tok2vec = null
-vectors = null
+vectors = "tmp/fasttext_vectors/vocab"
 max_epochs = 100
 orth_variant_level = 0.0
 gold_preproc = true
 max_length = 0
-scores = ["tag_acc", "dep_uas", "dep_las"]
+scores = ["tag_acc", "dep_uas", "dep_las", "speed"]
 score_weights = {"dep_las": 0.8, "tag_acc": 0.2}
 limit = 0
 seed = 0
-accumulate_gradient = 2
+accumulate_gradient = 1
 discard_oversize = false
 raw_text = null
 tag_map = null
@@ -22,7 +22,7 @@ base_model = null
 
 eval_batch_size = 128
 use_pytorch_for_gpu_memory = false
-batch_by = "padded"
+batch_by = "words"
 
 [training.batch_size]
 @schedules = "compounding.v1"
@@ -65,7 +65,7 @@ min_action_freq = 1
 
 [components.tagger.model.tok2vec]
 @architectures = "spacy.Tok2VecListener.v1"
-width = ${components.tok2vec.model:width}
+width = ${components.tok2vec.model.encode:width}
 
 [components.parser.model]
 @architectures = "spacy.TransitionBasedParser.v1"
@@ -75,20 +75,21 @@ maxout_pieces = 3
 
 [components.parser.model.tok2vec]
 @architectures = "spacy.Tok2VecListener.v1"
-width = ${components.tok2vec.model:width}
+width = ${components.tok2vec.model.encode:width}
 
 [components.tok2vec.model]
 @architectures = "spacy.Tok2Vec.v1"
 
 [components.tok2vec.model.embed]
-@architectures = "spacy.HashEmbed.v1"
-width = 96
+@architectures = "spacy.MultiHashEmbed.v1"
+width = ${components.tok2vec.model.encode:width}
 rows = 2000
-also_use_subwords = true
-also_use_static_vectors = false
+also_embed_subwords = true
+also_use_static_vectors = true
 
 [components.tok2vec.model.encode]
-@architectures = "spacy.MaxoutWindowEncode.v1"
+@architectures = "spacy.MaxoutWindowEncoder.v1"
+width = 96
 depth = 4
 window_size = 1
 maxout_pieces = 3