adrianeboyd
commited on
Commit
·
d658625
1
Parent(s):
287eea0
Update spaCy pipeline
Browse files- README.md +21 -21
- accuracy.json +148 -148
- config.cfg +48 -22
- es_dep_news_trf-any-py3-none-any.whl +2 -2
- lemmatizer/lookups/lookups.bin +2 -2
- meta.json +153 -153
- morphologizer/model +2 -2
- parser/model +2 -2
- transformer/cfg +1 -1
- transformer/model +2 -2
- vocab/strings.json +2 -2
README.md
CHANGED
@@ -14,59 +14,59 @@ model-index:
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metrics:
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- name: TAG (XPOS) Accuracy
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type: accuracy
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-
value: 0.
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- task:
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name: POS
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type: token-classification
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metrics:
|
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- name: POS (UPOS) Accuracy
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type: accuracy
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-
value: 0.
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- task:
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name: MORPH
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type: token-classification
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metrics:
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- name: Morph (UFeats) Accuracy
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type: accuracy
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-
value: 0.
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- task:
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name: LEMMA
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type: token-classification
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metrics:
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- name: Lemma Accuracy
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type: accuracy
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-
value: 0.
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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 Attachment Score (UAS)
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type: f_score
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-
value: 0.
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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 Attachment Score (LAS)
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type: f_score
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-
value: 0.
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- task:
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name: SENTS
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type: token-classification
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metrics:
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- name: Sentences F-Score
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type: f_score
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-
value: 0.
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---
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### Details: https://spacy.io/models/es#es_dep_news_trf
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-
Spanish transformer pipeline (dccuchile/bert-base-spanish-wwm-cased). Components: transformer, morphologizer, parser, attribute_ruler, lemmatizer.
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| Feature | Description |
|
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| --- | --- |
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| **Name** | `es_dep_news_trf` |
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-
| **Version** | `3.
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-
| **spaCy** | `>=3.
|
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| **Default Pipeline** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer` |
|
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| **Components** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer` |
|
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
|
@@ -95,15 +95,15 @@ Spanish transformer pipeline (dccuchile/bert-base-spanish-wwm-cased). Components
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| `TOKEN_P` | 99.89 |
|
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| `TOKEN_R` | 99.95 |
|
97 |
| `TOKEN_F` | 99.92 |
|
98 |
-
| `POS_ACC` | 99.
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99 |
-
| `MORPH_ACC` | 98.
|
100 |
-
| `MORPH_MICRO_P` | 99.
|
101 |
-
| `MORPH_MICRO_R` | 99.
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| `MORPH_MICRO_F` | 99.51 |
|
103 |
-
| `SENTS_P` | 96.
|
104 |
-
| `SENTS_R` | 97.
|
105 |
-
| `SENTS_F` | 97.
|
106 |
-
| `DEP_UAS` | 94.
|
107 |
-
| `DEP_LAS` |
|
108 |
-
| `TAG_ACC` | 96.
|
109 |
-
| `LEMMA_ACC` | 96.
|
|
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metrics:
|
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- name: TAG (XPOS) Accuracy
|
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type: accuracy
|
17 |
+
value: 0.9674401664
|
18 |
- task:
|
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name: POS
|
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type: token-classification
|
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metrics:
|
22 |
- name: POS (UPOS) Accuracy
|
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type: accuracy
|
24 |
+
value: 0.9913065148
|
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- task:
|
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name: MORPH
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type: token-classification
|
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metrics:
|
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- name: Morph (UFeats) Accuracy
|
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type: accuracy
|
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+
value: 0.9877497028
|
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- task:
|
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name: LEMMA
|
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type: token-classification
|
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metrics:
|
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- name: Lemma Accuracy
|
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type: accuracy
|
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+
value: 0.9685370645
|
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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 Attachment Score (UAS)
|
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type: f_score
|
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+
value: 0.9484729289
|
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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 Attachment Score (LAS)
|
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type: f_score
|
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+
value: 0.9310393672
|
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- task:
|
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name: SENTS
|
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type: token-classification
|
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metrics:
|
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- name: Sentences F-Score
|
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type: f_score
|
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+
value: 0.9712057588
|
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---
|
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### Details: https://spacy.io/models/es#es_dep_news_trf
|
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|
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+
Spanish transformer pipeline (Transformer(name='dccuchile/bert-base-spanish-wwm-cased', piece_encoder='bert-wordpiece', stride=112, type='bert', width=768, window=158, vocab_size=31002)). Components: transformer, morphologizer, parser, attribute_ruler, lemmatizer.
|
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|
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| Feature | Description |
|
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| --- | --- |
|
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| **Name** | `es_dep_news_trf` |
|
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+
| **Version** | `3.7.2` |
|
69 |
+
| **spaCy** | `>=3.7.0,<3.8.0` |
|
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| **Default Pipeline** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer` |
|
71 |
| **Components** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer` |
|
72 |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
|
|
|
95 |
| `TOKEN_P` | 99.89 |
|
96 |
| `TOKEN_R` | 99.95 |
|
97 |
| `TOKEN_F` | 99.92 |
|
98 |
+
| `POS_ACC` | 99.13 |
|
99 |
+
| `MORPH_ACC` | 98.77 |
|
100 |
+
| `MORPH_MICRO_P` | 99.66 |
|
101 |
+
| `MORPH_MICRO_R` | 99.37 |
|
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| `MORPH_MICRO_F` | 99.51 |
|
103 |
+
| `SENTS_P` | 96.37 |
|
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+
| `SENTS_R` | 97.88 |
|
105 |
+
| `SENTS_F` | 97.12 |
|
106 |
+
| `DEP_UAS` | 94.85 |
|
107 |
+
| `DEP_LAS` | 93.10 |
|
108 |
+
| `TAG_ACC` | 96.74 |
|
109 |
+
| `LEMMA_ACC` | 96.85 |
|
accuracy.json
CHANGED
@@ -3,21 +3,21 @@
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@@ -25,44 +25,44 @@
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@@ -75,34 +75,34 @@
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@@ -115,156 +115,156 @@
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@@ -272,9 +272,9 @@
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config.cfg
CHANGED
@@ -17,6 +17,7 @@ after_creation = null
|
|
17 |
after_pipeline_creation = null
|
18 |
batch_size = 64
|
19 |
tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
|
|
|
20 |
|
21 |
[components]
|
22 |
|
@@ -45,10 +46,11 @@ nO = null
|
|
45 |
normalize = false
|
46 |
|
47 |
[components.morphologizer.model.tok2vec]
|
48 |
-
@architectures = "spacy-transformers.
|
49 |
-
|
50 |
upstream = "transformer"
|
51 |
pooling = {"@layers":"reduce_mean.v1"}
|
|
|
52 |
|
53 |
[components.parser]
|
54 |
factory = "parser"
|
@@ -68,32 +70,44 @@ use_upper = false
|
|
68 |
nO = null
|
69 |
|
70 |
[components.parser.model.tok2vec]
|
71 |
-
@architectures = "spacy-transformers.
|
72 |
-
|
73 |
upstream = "transformer"
|
74 |
pooling = {"@layers":"reduce_mean.v1"}
|
|
|
75 |
|
76 |
[components.transformer]
|
77 |
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factory = "
|
78 |
-
|
79 |
-
|
80 |
|
81 |
[components.transformer.model]
|
82 |
-
|
83 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
84 |
mixed_precision = false
|
85 |
-
|
86 |
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[components.transformer.model.get_spans]
|
87 |
-
@span_getters = "spacy-transformers.strided_spans.v1"
|
88 |
-
window = 128
|
89 |
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stride = 96
|
90 |
|
91 |
[components.transformer.model.grad_scaler_config]
|
92 |
|
93 |
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[components.transformer.model.
|
94 |
-
|
95 |
-
|
96 |
-
|
|
|
97 |
|
98 |
[corpora]
|
99 |
|
@@ -130,11 +144,11 @@ annotating_components = []
|
|
130 |
before_update = null
|
131 |
|
132 |
[training.batcher]
|
133 |
-
@batchers = "spacy.
|
134 |
-
discard_oversize =
|
135 |
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get_length = null
|
136 |
size = 2000
|
137 |
-
|
|
|
138 |
|
139 |
[training.logger]
|
140 |
@loggers = "spacy.ConsoleLogger.v1"
|
@@ -197,6 +211,18 @@ require = false
|
|
197 |
path = "corpus/labels/parser.json"
|
198 |
require = false
|
199 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
200 |
[initialize.lookups]
|
201 |
@misc = "spacy.LookupsDataLoader.v1"
|
202 |
lang = ${nlp.lang}
|
|
|
17 |
after_pipeline_creation = null
|
18 |
batch_size = 64
|
19 |
tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
|
20 |
+
vectors = {"@vectors":"spacy.Vectors.v1"}
|
21 |
|
22 |
[components]
|
23 |
|
|
|
46 |
normalize = false
|
47 |
|
48 |
[components.morphologizer.model.tok2vec]
|
49 |
+
@architectures = "spacy-curated-transformers.LastTransformerLayerListener.v1"
|
50 |
+
width = ${components.transformer.model.hidden_width}
|
51 |
upstream = "transformer"
|
52 |
pooling = {"@layers":"reduce_mean.v1"}
|
53 |
+
grad_factor = 1.0
|
54 |
|
55 |
[components.parser]
|
56 |
factory = "parser"
|
|
|
70 |
nO = null
|
71 |
|
72 |
[components.parser.model.tok2vec]
|
73 |
+
@architectures = "spacy-curated-transformers.LastTransformerLayerListener.v1"
|
74 |
+
width = ${components.transformer.model.hidden_width}
|
75 |
upstream = "transformer"
|
76 |
pooling = {"@layers":"reduce_mean.v1"}
|
77 |
+
grad_factor = 1.0
|
78 |
|
79 |
[components.transformer]
|
80 |
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factory = "curated_transformer"
|
81 |
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all_layer_outputs = false
|
82 |
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frozen = false
|
83 |
|
84 |
[components.transformer.model]
|
85 |
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@architectures = "spacy-curated-transformers.BertTransformer.v1"
|
86 |
+
vocab_size = 31002
|
87 |
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hidden_width = 768
|
88 |
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piece_encoder = {"@architectures":"spacy-curated-transformers.BertWordpieceEncoder.v1"}
|
89 |
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attention_probs_dropout_prob = 0.1
|
90 |
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hidden_act = "gelu"
|
91 |
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hidden_dropout_prob = 0.1
|
92 |
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intermediate_width = 3072
|
93 |
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layer_norm_eps = 0.0
|
94 |
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max_position_embeddings = 512
|
95 |
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model_max_length = 512
|
96 |
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num_attention_heads = 12
|
97 |
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num_hidden_layers = 12
|
98 |
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padding_idx = 0
|
99 |
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type_vocab_size = 2
|
100 |
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torchscript = false
|
101 |
mixed_precision = false
|
102 |
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wrapped_listener = null
|
|
|
|
|
|
|
|
|
103 |
|
104 |
[components.transformer.model.grad_scaler_config]
|
105 |
|
106 |
+
[components.transformer.model.with_spans]
|
107 |
+
@architectures = "spacy-curated-transformers.WithStridedSpans.v1"
|
108 |
+
stride = 112
|
109 |
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window = 158
|
110 |
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batch_size = 384
|
111 |
|
112 |
[corpora]
|
113 |
|
|
|
144 |
before_update = null
|
145 |
|
146 |
[training.batcher]
|
147 |
+
@batchers = "spacy.batch_by_words.v1"
|
148 |
+
discard_oversize = false
|
|
|
149 |
size = 2000
|
150 |
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tolerance = 0.2
|
151 |
+
get_length = null
|
152 |
|
153 |
[training.logger]
|
154 |
@loggers = "spacy.ConsoleLogger.v1"
|
|
|
211 |
path = "corpus/labels/parser.json"
|
212 |
require = false
|
213 |
|
214 |
+
[initialize.components.transformer]
|
215 |
+
|
216 |
+
[initialize.components.transformer.encoder_loader]
|
217 |
+
@model_loaders = "spacy-curated-transformers.HFTransformerEncoderLoader.v1"
|
218 |
+
name = "dccuchile/bert-base-spanish-wwm-cased"
|
219 |
+
revision = "main"
|
220 |
+
|
221 |
+
[initialize.components.transformer.piecer_loader]
|
222 |
+
@model_loaders = "spacy-curated-transformers.HFPieceEncoderLoader.v1"
|
223 |
+
name = "dccuchile/bert-base-spanish-wwm-cased"
|
224 |
+
revision = "main"
|
225 |
+
|
226 |
[initialize.lookups]
|
227 |
@misc = "spacy.LookupsDataLoader.v1"
|
228 |
lang = ${nlp.lang}
|
es_dep_news_trf-any-py3-none-any.whl
CHANGED
@@ -1,3 +1,3 @@
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|
1 |
version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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size 407804601
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lemmatizer/lookups/lookups.bin
CHANGED
@@ -1,3 +1,3 @@
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oid sha256:
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size 165225
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meta.json
CHANGED
@@ -1,14 +1,14 @@
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|
1 |
{
|
2 |
"lang":"es",
|
3 |
"name":"dep_news_trf",
|
4 |
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"version":"3.
|
5 |
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"description":"Spanish transformer pipeline (dccuchile/bert-base-spanish-wwm-cased). Components: transformer, morphologizer, parser, attribute_ruler, lemmatizer.",
|
6 |
"author":"Explosion",
|
7 |
"email":"[email protected]",
|
8 |
"url":"https://explosion.ai",
|
9 |
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"spacy_git_version":"
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@@ -515,21 +515,21 @@
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@@ -537,44 +537,44 @@
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