danielvasic commited on
Commit
11504f2
1 Parent(s): 055c2ad

Update spaCy pipeline

Browse files
.gitattributes CHANGED
@@ -25,3 +25,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zstandard filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zstandard filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ *.whl filter=lfs diff=lfs merge=lfs -text
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+ *.npz filter=lfs diff=lfs merge=lfs -text
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+ *strings.json filter=lfs diff=lfs merge=lfs -text
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+ vectors filter=lfs diff=lfs merge=lfs -text
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+ model filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,82 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ tags:
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+ - spacy
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+ - token-classification
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+ language:
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+ - en
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+ model-index:
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+ - name: en_acnl_roberta_pipeline
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+ results:
10
+ - task:
11
+ name: POS
12
+ type: token-classification
13
+ metrics:
14
+ - name: POS Accuracy
15
+ type: accuracy
16
+ value: 0.9805220696
17
+ - task:
18
+ name: SENTER
19
+ type: token-classification
20
+ metrics:
21
+ - name: SENTER Precision
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+ type: precision
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+ value: 0.9380376859
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+ - name: SENTER Recall
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+ type: recall
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+ value: 0.954223356
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+ - name: SENTER F Score
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+ type: f_score
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+ value: 0.946061298
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+ - task:
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+ name: UNLABELED_DEPENDENCIES
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+ type: token-classification
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+ metrics:
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+ - name: Unlabeled Dependencies Accuracy
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+ type: accuracy
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+ value: 0.9597776646
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+ - task:
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+ name: LABELED_DEPENDENCIES
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+ type: token-classification
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+ metrics:
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+ - name: Labeled Dependencies Accuracy
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+ type: accuracy
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+ value: 0.9597776646
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+ ---
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+ | Feature | Description |
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+ | --- | --- |
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+ | **Name** | `en_acnl_roberta_pipeline` |
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+ | **Version** | `0.0.1` |
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+ | **spaCy** | `>=3.1.3,<3.2.0` |
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+ | **Default Pipeline** | `transformer`, `tagger`, `parser` |
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+ | **Components** | `transformer`, `tagger`, `parser` |
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+ | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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+ | **Sources** | n/a |
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+ | **License** | n/a |
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+ | **Author** | [n/a]() |
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+
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+ ### Label Scheme
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+
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+ <details>
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+
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+ <summary>View label scheme (87 labels for 2 components)</summary>
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+
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+ | Component | Labels |
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+ | --- | --- |
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+ | **`tagger`** | `$`, `''`, `,`, `-LRB-`, `-RRB-`, `.`, `:`, `ADD`, `AFX`, `CC`, `CD`, `DT`, `EX`, `FW`, `HYPH`, `IN`, `JJ`, `JJR`, `JJS`, `LS`, `MD`, `NFP`, `NN`, `NNP`, `NNPS`, `NNS`, `PDT`, `POS`, `PRP`, `PRP$`, `RB`, `RBR`, `RBS`, `RP`, `SYM`, `TO`, `UH`, `VB`, `VBD`, `VBG`, `VBN`, `VBP`, `VBZ`, `VERB`, `WDT`, `WP`, `WP$`, `WRB`, `XX`, ```` |
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+ | **`parser`** | `ROOT`, `acl`, `acomp`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `auxpass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `dative`, `dep`, `det`, `dobj`, `intj`, `mark`, `meta`, `neg`, `nmod`, `npadvmod`, `nummod`, `parataxis`, `pcomp`, `pobj`, `poss`, `preconj`, `predet`, `prep`, `prt`, `punct`, `quantmod`, `relcl`, `xcomp` |
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+
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+ </details>
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+
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+ ### Accuracy
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+
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+ | Type | Score |
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+ | --- | --- |
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+ | `TAG_ACC` | 98.05 |
75
+ | `DEP_UAS` | 95.98 |
76
+ | `DEP_LAS` | 94.83 |
77
+ | `SENTS_P` | 93.80 |
78
+ | `SENTS_R` | 95.42 |
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+ | `SENTS_F` | 94.61 |
80
+ | `TRANSFORMER_LOSS` | 3784861.59 |
81
+ | `TAGGER_LOSS` | 698704.80 |
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+ | `PARSER_LOSS` | 5540167.00 |
config.cfg ADDED
@@ -0,0 +1,156 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [paths]
2
+ train = "./datasets/spaCy/ontonotes.train.tree.spacy"
3
+ dev = "./datasets/spaCy/ontonotes.dev.tree.spacy"
4
+ vectors = null
5
+ init_tok2vec = null
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+
7
+ [system]
8
+ gpu_allocator = "pytorch"
9
+ seed = 0
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+
11
+ [nlp]
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+ lang = "en"
13
+ pipeline = ["transformer","tagger","parser"]
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+ batch_size = 128
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+ disabled = []
16
+ before_creation = null
17
+ after_creation = null
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+ after_pipeline_creation = null
19
+ tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
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+
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+ [components]
22
+
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+ [components.parser]
24
+ factory = "parser"
25
+ learn_tokens = false
26
+ min_action_freq = 30
27
+ moves = null
28
+ update_with_oracle_cut_size = 100
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+
30
+ [components.parser.model]
31
+ @architectures = "spacy.TransitionBasedParser.v2"
32
+ state_type = "parser"
33
+ extra_state_tokens = false
34
+ hidden_width = 128
35
+ maxout_pieces = 3
36
+ use_upper = false
37
+ nO = null
38
+
39
+ [components.parser.model.tok2vec]
40
+ @architectures = "spacy-transformers.TransformerListener.v1"
41
+ grad_factor = 1.0
42
+ pooling = {"@layers":"reduce_mean.v1"}
43
+ upstream = "*"
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+
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+ [components.tagger]
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+ factory = "tagger"
47
+
48
+ [components.tagger.model]
49
+ @architectures = "spacy.Tagger.v1"
50
+ nO = null
51
+
52
+ [components.tagger.model.tok2vec]
53
+ @architectures = "spacy-transformers.TransformerListener.v1"
54
+ grad_factor = 1.0
55
+ pooling = {"@layers":"reduce_mean.v1"}
56
+ upstream = "*"
57
+
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+ [components.transformer]
59
+ factory = "transformer"
60
+ max_batch_items = 4096
61
+ set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
62
+
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+ [components.transformer.model]
64
+ @architectures = "spacy-transformers.TransformerModel.v1"
65
+ name = "roberta-large"
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+
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+ [components.transformer.model.get_spans]
68
+ @span_getters = "spacy-transformers.strided_spans.v1"
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+ window = 128
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+ stride = 96
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+
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+ [components.transformer.model.tokenizer_config]
73
+ use_fast = true
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+
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+ [corpora]
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+
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+ [corpora.dev]
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+ @readers = "spacy.Corpus.v1"
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+ path = ${paths.dev}
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+ max_length = 0
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+ gold_preproc = false
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+ limit = 0
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+ augmenter = null
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+
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+ [corpora.train]
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+ @readers = "spacy.Corpus.v1"
87
+ path = ${paths.train}
88
+ max_length = 0
89
+ gold_preproc = false
90
+ limit = 0
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+ augmenter = null
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+
93
+ [training]
94
+ accumulate_gradient = 3
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+ dev_corpus = "corpora.dev"
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+ train_corpus = "corpora.train"
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+ seed = ${system.seed}
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+ gpu_allocator = ${system.gpu_allocator}
99
+ dropout = 0.1
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+ patience = 1600
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+ max_epochs = 0
102
+ max_steps = 20000
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+ eval_frequency = 200
104
+ frozen_components = []
105
+ annotating_components = []
106
+ before_to_disk = null
107
+
108
+ [training.batcher]
109
+ @batchers = "spacy.batch_by_padded.v1"
110
+ discard_oversize = true
111
+ size = 2000
112
+ buffer = 256
113
+ get_length = null
114
+
115
+ [training.logger]
116
+ @loggers = "spacy.ConsoleLogger.v1"
117
+ progress_bar = false
118
+
119
+ [training.optimizer]
120
+ @optimizers = "Adam.v1"
121
+ beta1 = 0.9
122
+ beta2 = 0.999
123
+ L2_is_weight_decay = true
124
+ L2 = 0.01
125
+ grad_clip = 1.0
126
+ use_averages = false
127
+ eps = 0.00000001
128
+
129
+ [training.optimizer.learn_rate]
130
+ @schedules = "warmup_linear.v1"
131
+ warmup_steps = 250
132
+ total_steps = 20000
133
+ initial_rate = 0.00005
134
+
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+ [training.score_weights]
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+ tag_acc = 0.5
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+ dep_uas = 0.25
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+ dep_las = 0.25
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+ dep_las_per_type = null
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+ sents_p = null
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+ sents_r = null
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+ sents_f = 0.0
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+
144
+ [pretraining]
145
+
146
+ [initialize]
147
+ vectors = null
148
+ init_tok2vec = ${paths.init_tok2vec}
149
+ vocab_data = null
150
+ lookups = null
151
+ before_init = null
152
+ after_init = null
153
+
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+ [initialize.components]
155
+
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+ [initialize.tokenizer]
en_acnl_roberta_pipeline-any-py3-none-any.whl ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ size 1312885130
meta.json ADDED
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+ {
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+ "lang":"en",
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+ "name":"acnl_roberta_pipeline",
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+ "version":"0.0.1",
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+ "description":"",
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+ "author":"",
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+ "email":"",
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+ "url":"",
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+ "license":"",
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+ "spacy_version":">=3.1.3,<3.2.0",
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+ "spacy_git_version":"8bda39f08",
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+ "vectors":{
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+ "width":0,
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+ "vectors":0,
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+ "keys":0,
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+ "name":null
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+ },
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+ "labels":{
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+ "transformer":[
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+ ],
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+ "tagger":[
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+ "$",
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+ "''",
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+ ",",
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+ "-LRB-",
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+ "-RRB-",
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+ ".",
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+ ":",
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+ "ADD",
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+ "AFX",
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+ "CC",
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+ "CD",
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+ "DT",
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+ "EX",
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+ "FW",
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+ "HYPH",
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+ "IN",
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+ "JJ",
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+ "JJR",
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+ "JJS",
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+ "LS",
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+ "MD",
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+ "NFP",
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+ "NN",
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+ "NNP",
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+ "NNPS",
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+ "NNS",
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+ "PDT",
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+ "POS",
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+ "PRP",
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+ "PRP$",
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+ "RB",
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+ "RBR",
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+ "RBS",
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+ "RP",
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+ "SYM",
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+ "TO",
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+ "UH",
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+ "VB",
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+ "VBD",
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+ "VBG",
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+ "VBN",
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+ "VBP",
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+ "VBZ",
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+ "VERB",
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+ "WDT",
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+ "WP",
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+ "WP$",
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+ "WRB",
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+ "XX",
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+ "``"
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+ ],
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+ "parser":[
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+ "ROOT",
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+ "acl",
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+ "acomp",
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+ "advcl",
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+ "advmod",
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+ "amod",
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+ "appos",
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+ "aux",
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+ "auxpass",
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+ "case",
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+ "cc",
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+ "ccomp",
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+ "compound",
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+ "conj",
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+ "dative",
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+ "dep",
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+ "det",
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+ "dobj",
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+ "intj",
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+ "mark",
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+ "meta",
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+ "neg",
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+ "nmod",
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+ "npadvmod",
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+ "nummod",
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+ "parataxis",
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+ "pcomp",
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+ "pobj",
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+ "poss",
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+ "preconj",
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+ "predet",
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+ "prep",
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+ "prt",
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+ "punct",
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+ "quantmod",
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+ "relcl",
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+ "xcomp"
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+ ]
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+ },
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+ "tagger",
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+ "parser"
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+ ],
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+ "tagger",
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+ ],
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+ "performance":{
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+ "cc":{
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+ "aux":{
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+ "root":{
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+ "preconj":{
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+ },
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+ "advmod":{
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+ "r":0.901123784,
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+ "f":0.8988623055
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+ },
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+ "ccomp":{
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+ },
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+ "pcomp":{
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+ "nmod":{
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+ "acl":{
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+ "nummod":{
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+ "intj":{
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+ "quantmod":{
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+ "neg":{
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+ "xcomp":{
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+ "relcl":{
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+ "f":0.9109452736
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+ "auxpass":{
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+ "f":0.9665224322
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+ },
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+ "parataxis":{
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+ "r":0.7056277056,
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+ "f":0.7033441208
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+ },
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+ "prt":{
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+ "mark":{
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+ "appos":{
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+ "r":0.8667180277,
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+ "f":0.8505008505
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+ },
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+ "npadvmod":{
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+ "f":0.9009324009
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+ },
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+ "advcl":{
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+ "r":0.872583318,
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+ },
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+ "acomp":{
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+ "r":0.9291266575,
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+ "f":0.9274303971
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+ },
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+ "case":{
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+ "r":0.991991992,
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+ "f":0.9892687796
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+ },
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+ "dative":{
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+ "p":0.8876712329,
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+ "r":0.8594164456,
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+ "f":0.8733153639
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+ },
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+ "meta":{
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+ "p":0.8372093023,
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+ "r":0.6923076923,
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+ "f":0.7578947368
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+ }
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+ },
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+ "sents_p":0.9380376859,
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+ "sents_r":0.954223356,
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+ "sents_f":0.946061298,
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+ "transformer_loss":37848.6158708506,
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+ "tagger_loss":6987.0480247624,
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+ "parser_loss":55401.6699904209
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+ },
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