ljvmiranda921 commited on
Commit
e13be7b
1 Parent(s): cea4452

xx_fro_sigtyp_trf-0.1.0: Update SIGTYP pipeline

Browse files
.gitattributes CHANGED
@@ -33,3 +33,7 @@ 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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  *.zst 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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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ parser/model filter=lfs diff=lfs merge=lfs -text
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+ trainable_lemmatizer/model filter=lfs diff=lfs merge=lfs -text
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+ transformer/model filter=lfs diff=lfs merge=lfs -text
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+ xx_fro_sigtyp_trf-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,85 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ tags:
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+ - spacy
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+ - token-classification
5
+ language:
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+ - multilingual
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+ model-index:
8
+ - name: xx_fro_sigtyp_trf
9
+ results:
10
+ - task:
11
+ name: TAG
12
+ type: token-classification
13
+ metrics:
14
+ - name: TAG (XPOS) Accuracy
15
+ type: accuracy
16
+ value: 0.8626325088
17
+ - task:
18
+ name: LEMMA
19
+ type: token-classification
20
+ metrics:
21
+ - name: Lemma Accuracy
22
+ type: accuracy
23
+ value: 0.8348421285
24
+ - task:
25
+ name: UNLABELED_DEPENDENCIES
26
+ type: token-classification
27
+ metrics:
28
+ - name: Unlabeled Attachment Score (UAS)
29
+ type: f_score
30
+ value: 0.6967152383
31
+ - task:
32
+ name: LABELED_DEPENDENCIES
33
+ type: token-classification
34
+ metrics:
35
+ - name: Labeled Attachment Score (LAS)
36
+ type: f_score
37
+ value: 0.6162015312
38
+ - task:
39
+ name: SENTS
40
+ type: token-classification
41
+ metrics:
42
+ - name: Sentences F-Score
43
+ type: f_score
44
+ value: 0.8357487923
45
+ ---
46
+ | Feature | Description |
47
+ | --- | --- |
48
+ | **Name** | `xx_fro_sigtyp_trf` |
49
+ | **Version** | `0.1.0` |
50
+ | **spaCy** | `>=3.6.1,<3.7.0` |
51
+ | **Default Pipeline** | `transformer`, `parser`, `trainable_lemmatizer`, `tagger` |
52
+ | **Components** | `transformer`, `parser`, `trainable_lemmatizer`, `tagger` |
53
+ | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
54
+ | **Sources** | n/a |
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+ | **License** | n/a |
56
+ | **Author** | [n/a]() |
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+
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+ ### Label Scheme
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+
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+ <details>
61
+
62
+ <summary>View label scheme (124 labels for 2 components)</summary>
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+
64
+ | Component | Labels |
65
+ | --- | --- |
66
+ | **`parser`** | `ROOT`, `acl`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `case:det`, `cc`, `cc:nc`, `ccomp`, `conj`, `cop`, `csubj`, `dep`, `det`, `expl`, `flat`, `iobj`, `mark`, `nmod`, `nsubj`, `nummod`, `obj`, `obl`, `obl:advmod`, `parataxis`, `punct`, `vocative`, `xcomp` |
67
+ | **`tagger`** | `ADJcar__NumType=Card`, `ADJind__PronType=Ind`, `ADJord`, `ADJpos__Poss=Yes`, `ADJqua`, `ADJqua__Tense=Past\|VerbForm=Part`, `ADJqua__Tense=Pres\|VerbForm=Part`, `ADVgen`, `ADVgen.PROper`, `ADVgen__PronType=Ind`, `ADVgen__PronType=Prs,Rel`, `ADVgen__PronType=Rel`, `ADVint__PronType=Int`, `ADVneg`, `ADVneg.PROper__Polarity=Neg\|PronType=Prs`, `ADVneg__Polarity=Neg`, `ADVsub`, `CONcoo`, `CONcoo__PronType=Prs,Rel`, `CONsub`, `CONsub.PROper`, `CONsub__PronType=Rel`, `DETcar__NumType=Card`, `DETdef__Definite=Def`, `DETdef__Definite=Def\|PronType=Art`, `DETdef__PronType=Ind`, `DETdef__PronType=Prs`, `DETdem__PronType=Dem`, `DETdem__PronType=Prs`, `DETind__PronType=Ind`, `DETint__PronType=Int`, `DETndf__Definite=Ind`, `DETndf__Definite=Ind\|PronType=Art`, `DETord`, `DETord__NumType=Ord`, `DETpos__Poss=Yes`, `DETrel__PronType=Rel`, `INJ`, `NOMcom`, `NOMcom__Morph=VFin`, `NOMcom__VerbForm=Inf`, `NOMpro`, `PONfbl`, `PONfrt`, `PONpdr`, `PONpga`, `PONpxx`, `PRE`, `PRE.DETdef__Definite=Def\|PronType=Art`, `PRE.PROper`, `PRE.PROper__Definite=Def\|PronType=Art`, `PRE__Morph=VFin`, `PRE__PronType=Dem`, `PREdetdef__PronType=Prs,Rel`, `PROadv`, `PROadv__PronType=Dem`, `PROcar`, `PROcar__NumType=Card`, `PROdem__PronType=Dem`, `PROdem__PronType=Prs,Rel`, `PROimp`, `PROimp__PronType=Prs`, `PROind`, `PROind__PronType=Ind`, `PROind__PronType=Rel`, `PROint__PronType=Int`, `PROord__NumType=Ord`, `PROper`, `PROper.PROper__PronType=Prs`, `PROper__Poss=Yes`, `PROper__PronType=Prs`, `PROpos__Poss=Yes`, `PROpos__Poss=Yes\|PronType=Prs`, `PROrel`, `PROrel__PronType=Prs,Rel`, `PROrel__PronType=Rel`, `RED`, `VERcjg`, `VERcjg__VerbForm=Fin`, `VERcjg__VerbForm=Inf`, `VERinf__VerbForm=Inf`, `VERppa__Tense=Pres\|VerbForm=Part`, `VERppe`, `VERppe__Tense=Past`, `VERppe__Tense=Past\|VerbForm=Part`, `devenir__Tense=Past\|VerbForm=Part`, `devenir__VerbForm=Fin`, `laisser__VerbForm=Fin`, `remanoir__VerbForm=Fin`, `ressembler__VerbForm=Fin`, `sembler__VerbForm=Fin` |
68
+
69
+ </details>
70
+
71
+ ### Accuracy
72
+
73
+ | Type | Score |
74
+ | --- | --- |
75
+ | `DEP_UAS` | 69.67 |
76
+ | `DEP_LAS` | 61.62 |
77
+ | `SENTS_P` | 78.82 |
78
+ | `SENTS_R` | 88.95 |
79
+ | `SENTS_F` | 83.57 |
80
+ | `LEMMA_ACC` | 83.48 |
81
+ | `TAG_ACC` | 86.26 |
82
+ | `TRANSFORMER_LOSS` | 44338.10 |
83
+ | `PARSER_LOSS` | 6886.30 |
84
+ | `TRAINABLE_LEMMATIZER_LOSS` | 1446.31 |
85
+ | `TAGGER_LOSS` | 3500.05 |
config.cfg ADDED
@@ -0,0 +1,190 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [paths]
2
+ train = "corpus/train/fro_train.spacy"
3
+ dev = "corpus/dev/fro_valid.spacy"
4
+ vectors = null
5
+ init_tok2vec = null
6
+
7
+ [system]
8
+ gpu_allocator = "pytorch"
9
+ seed = 42
10
+
11
+ [nlp]
12
+ lang = "xx"
13
+ pipeline = ["transformer","parser","trainable_lemmatizer","tagger"]
14
+ batch_size = 128
15
+ disabled = []
16
+ before_creation = null
17
+ after_creation = null
18
+ after_pipeline_creation = null
19
+ tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
20
+
21
+ [components]
22
+
23
+ [components.parser]
24
+ factory = "parser"
25
+ learn_tokens = false
26
+ min_action_freq = 30
27
+ moves = null
28
+ scorer = {"@scorers":"spacy.parser_scorer.v1"}
29
+ update_with_oracle_cut_size = 100
30
+
31
+ [components.parser.model]
32
+ @architectures = "spacy.TransitionBasedParser.v2"
33
+ state_type = "parser"
34
+ extra_state_tokens = false
35
+ hidden_width = 128
36
+ maxout_pieces = 3
37
+ use_upper = false
38
+ nO = null
39
+
40
+ [components.parser.model.tok2vec]
41
+ @architectures = "spacy-transformers.TransformerListener.v1"
42
+ grad_factor = 1.0
43
+ pooling = {"@layers":"reduce_mean.v1"}
44
+ upstream = "*"
45
+
46
+ [components.tagger]
47
+ factory = "tagger"
48
+ label_smoothing = 0.0
49
+ neg_prefix = "!"
50
+ overwrite = false
51
+ scorer = {"@scorers":"spacy.tagger_scorer.v1"}
52
+
53
+ [components.tagger.model]
54
+ @architectures = "spacy.Tagger.v2"
55
+ nO = null
56
+ normalize = false
57
+
58
+ [components.tagger.model.tok2vec]
59
+ @architectures = "spacy-transformers.TransformerListener.v1"
60
+ grad_factor = 1.0
61
+ pooling = {"@layers":"reduce_mean.v1"}
62
+ upstream = "*"
63
+
64
+ [components.trainable_lemmatizer]
65
+ factory = "trainable_lemmatizer"
66
+ backoff = "orth"
67
+ min_tree_freq = 3
68
+ overwrite = false
69
+ scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
70
+ top_k = 1
71
+
72
+ [components.trainable_lemmatizer.model]
73
+ @architectures = "spacy.Tagger.v2"
74
+ nO = null
75
+ normalize = false
76
+
77
+ [components.trainable_lemmatizer.model.tok2vec]
78
+ @architectures = "spacy-transformers.TransformerListener.v1"
79
+ grad_factor = 1.0
80
+ pooling = {"@layers":"reduce_mean.v1"}
81
+ upstream = "*"
82
+
83
+ [components.transformer]
84
+ factory = "transformer"
85
+ max_batch_items = 4096
86
+ set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
87
+
88
+ [components.transformer.model]
89
+ @architectures = "spacy-transformers.TransformerModel.v3"
90
+ name = "ljvmiranda921/LiBERTus-base"
91
+ mixed_precision = false
92
+
93
+ [components.transformer.model.get_spans]
94
+ @span_getters = "spacy-transformers.strided_spans.v1"
95
+ window = 128
96
+ stride = 96
97
+
98
+ [components.transformer.model.grad_scaler_config]
99
+
100
+ [components.transformer.model.tokenizer_config]
101
+ use_fast = true
102
+
103
+ [components.transformer.model.transformer_config]
104
+
105
+ [corpora]
106
+
107
+ [corpora.dev]
108
+ @readers = "spacy.Corpus.v1"
109
+ path = ${paths.dev}
110
+ max_length = 0
111
+ gold_preproc = false
112
+ limit = 0
113
+ augmenter = null
114
+
115
+ [corpora.train]
116
+ @readers = "spacy.Corpus.v1"
117
+ path = ${paths.train}
118
+ max_length = 0
119
+ gold_preproc = false
120
+ limit = 0
121
+ augmenter = null
122
+
123
+ [training]
124
+ accumulate_gradient = 3
125
+ dev_corpus = "corpora.dev"
126
+ train_corpus = "corpora.train"
127
+ seed = ${system.seed}
128
+ gpu_allocator = ${system.gpu_allocator}
129
+ dropout = 0.1
130
+ patience = 1600
131
+ max_epochs = 0
132
+ max_steps = 20000
133
+ eval_frequency = 200
134
+ frozen_components = []
135
+ annotating_components = []
136
+ before_to_disk = null
137
+ before_update = null
138
+
139
+ [training.batcher]
140
+ @batchers = "spacy.batch_by_padded.v1"
141
+ discard_oversize = true
142
+ size = 2000
143
+ buffer = 256
144
+ get_length = null
145
+
146
+ [training.logger]
147
+ @loggers = "spacy.ConsoleLogger.v3"
148
+ console_output = true
149
+ progress_bar = "eval"
150
+ output_file = null
151
+
152
+ [training.optimizer]
153
+ @optimizers = "Adam.v1"
154
+ beta1 = 0.9
155
+ beta2 = 0.999
156
+ L2_is_weight_decay = true
157
+ L2 = 0.01
158
+ grad_clip = 1.0
159
+ use_averages = false
160
+ eps = 0.00000001
161
+
162
+ [training.optimizer.learn_rate]
163
+ @schedules = "warmup_linear.v1"
164
+ warmup_steps = 250
165
+ total_steps = 20000
166
+ initial_rate = 0.00005
167
+
168
+ [training.score_weights]
169
+ dep_uas = 0.17
170
+ dep_las = 0.17
171
+ dep_las_per_type = null
172
+ sents_p = null
173
+ sents_r = null
174
+ sents_f = 0.0
175
+ lemma_acc = 0.33
176
+ tag_acc = 0.33
177
+
178
+ [pretraining]
179
+
180
+ [initialize]
181
+ vectors = ${paths.vectors}
182
+ init_tok2vec = ${paths.init_tok2vec}
183
+ vocab_data = null
184
+ lookups = null
185
+ before_init = null
186
+ after_init = null
187
+
188
+ [initialize.components]
189
+
190
+ [initialize.tokenizer]
meta.json ADDED
@@ -0,0 +1,359 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "lang":"xx",
3
+ "name":"fro_sigtyp_trf",
4
+ "version":"0.1.0",
5
+ "description":"",
6
+ "author":"",
7
+ "email":"",
8
+ "url":"",
9
+ "license":"",
10
+ "spacy_version":">=3.6.1,<3.7.0",
11
+ "spacy_git_version":"458bc5f45",
12
+ "vectors":{
13
+ "width":0,
14
+ "vectors":0,
15
+ "keys":0,
16
+ "name":null
17
+ },
18
+ "labels":{
19
+ "transformer":[
20
+
21
+ ],
22
+ "parser":[
23
+ "ROOT",
24
+ "acl",
25
+ "acl:relcl",
26
+ "advcl",
27
+ "advmod",
28
+ "amod",
29
+ "appos",
30
+ "aux",
31
+ "aux:pass",
32
+ "case",
33
+ "case:det",
34
+ "cc",
35
+ "cc:nc",
36
+ "ccomp",
37
+ "conj",
38
+ "cop",
39
+ "csubj",
40
+ "dep",
41
+ "det",
42
+ "expl",
43
+ "flat",
44
+ "iobj",
45
+ "mark",
46
+ "nmod",
47
+ "nsubj",
48
+ "nummod",
49
+ "obj",
50
+ "obl",
51
+ "obl:advmod",
52
+ "parataxis",
53
+ "punct",
54
+ "vocative",
55
+ "xcomp"
56
+ ],
57
+ "tagger":[
58
+ "ADJcar__NumType=Card",
59
+ "ADJind__PronType=Ind",
60
+ "ADJord",
61
+ "ADJpos__Poss=Yes",
62
+ "ADJqua",
63
+ "ADJqua__Tense=Past|VerbForm=Part",
64
+ "ADJqua__Tense=Pres|VerbForm=Part",
65
+ "ADVgen",
66
+ "ADVgen.PROper",
67
+ "ADVgen__PronType=Ind",
68
+ "ADVgen__PronType=Prs,Rel",
69
+ "ADVgen__PronType=Rel",
70
+ "ADVint__PronType=Int",
71
+ "ADVneg",
72
+ "ADVneg.PROper__Polarity=Neg|PronType=Prs",
73
+ "ADVneg__Polarity=Neg",
74
+ "ADVsub",
75
+ "CONcoo",
76
+ "CONcoo__PronType=Prs,Rel",
77
+ "CONsub",
78
+ "CONsub.PROper",
79
+ "CONsub__PronType=Rel",
80
+ "DETcar__NumType=Card",
81
+ "DETdef__Definite=Def",
82
+ "DETdef__Definite=Def|PronType=Art",
83
+ "DETdef__PronType=Ind",
84
+ "DETdef__PronType=Prs",
85
+ "DETdem__PronType=Dem",
86
+ "DETdem__PronType=Prs",
87
+ "DETind__PronType=Ind",
88
+ "DETint__PronType=Int",
89
+ "DETndf__Definite=Ind",
90
+ "DETndf__Definite=Ind|PronType=Art",
91
+ "DETord",
92
+ "DETord__NumType=Ord",
93
+ "DETpos__Poss=Yes",
94
+ "DETrel__PronType=Rel",
95
+ "INJ",
96
+ "NOMcom",
97
+ "NOMcom__Morph=VFin",
98
+ "NOMcom__VerbForm=Inf",
99
+ "NOMpro",
100
+ "PONfbl",
101
+ "PONfrt",
102
+ "PONpdr",
103
+ "PONpga",
104
+ "PONpxx",
105
+ "PRE",
106
+ "PRE.DETdef__Definite=Def|PronType=Art",
107
+ "PRE.PROper",
108
+ "PRE.PROper__Definite=Def|PronType=Art",
109
+ "PRE__Morph=VFin",
110
+ "PRE__PronType=Dem",
111
+ "PREdetdef__PronType=Prs,Rel",
112
+ "PROadv",
113
+ "PROadv__PronType=Dem",
114
+ "PROcar",
115
+ "PROcar__NumType=Card",
116
+ "PROdem__PronType=Dem",
117
+ "PROdem__PronType=Prs,Rel",
118
+ "PROimp",
119
+ "PROimp__PronType=Prs",
120
+ "PROind",
121
+ "PROind__PronType=Ind",
122
+ "PROind__PronType=Rel",
123
+ "PROint__PronType=Int",
124
+ "PROord__NumType=Ord",
125
+ "PROper",
126
+ "PROper.PROper__PronType=Prs",
127
+ "PROper__Poss=Yes",
128
+ "PROper__PronType=Prs",
129
+ "PROpos__Poss=Yes",
130
+ "PROpos__Poss=Yes|PronType=Prs",
131
+ "PROrel",
132
+ "PROrel__PronType=Prs,Rel",
133
+ "PROrel__PronType=Rel",
134
+ "RED",
135
+ "VERcjg",
136
+ "VERcjg__VerbForm=Fin",
137
+ "VERcjg__VerbForm=Inf",
138
+ "VERinf__VerbForm=Inf",
139
+ "VERppa__Tense=Pres|VerbForm=Part",
140
+ "VERppe",
141
+ "VERppe__Tense=Past",
142
+ "VERppe__Tense=Past|VerbForm=Part",
143
+ "devenir__Tense=Past|VerbForm=Part",
144
+ "devenir__VerbForm=Fin",
145
+ "laisser__VerbForm=Fin",
146
+ "remanoir__VerbForm=Fin",
147
+ "ressembler__VerbForm=Fin",
148
+ "sembler__VerbForm=Fin"
149
+ ]
150
+ },
151
+ "pipeline":[
152
+ "transformer",
153
+ "parser",
154
+ "trainable_lemmatizer",
155
+ "tagger"
156
+ ],
157
+ "components":[
158
+ "transformer",
159
+ "parser",
160
+ "trainable_lemmatizer",
161
+ "tagger"
162
+ ],
163
+ "disabled":[
164
+
165
+ ],
166
+ "performance":{
167
+ "dep_uas":0.6967152383,
168
+ "dep_las":0.6162015312,
169
+ "dep_las_per_type":{
170
+ "advmod":{
171
+ "p":0.7226107226,
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+ "r":0.6352459016,
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+ "f":0.6761177754
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+ },
175
+ "iobj":{
176
+ "p":0.6868686869,
177
+ "r":0.641509434,
178
+ "f":0.6634146341
179
+ },
180
+ "root":{
181
+ "p":0.7518248175,
182
+ "r":0.794344473,
183
+ "f":0.7725
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+ },
185
+ "mark":{
186
+ "p":0.6597938144,
187
+ "r":0.5541125541,
188
+ "f":0.6023529412
189
+ },
190
+ "cc:nc":{
191
+ "p":0.8417721519,
192
+ "r":0.7430167598,
193
+ "f":0.7893175074
194
+ },
195
+ "expl":{
196
+ "p":0.3333333333,
197
+ "r":0.1136363636,
198
+ "f":0.1694915254
199
+ },
200
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