Commit
•
a8035b6
1
Parent(s):
383907d
Update spaCy pipeline
Browse files- README.md +18 -18
- accuracy.json +195 -195
- attribute_ruler/patterns +0 -0
- config.cfg +51 -24
- en_core_web_trf-any-py3-none-any.whl +2 -2
- meta.json +200 -200
- ner/model +2 -2
- parser/model +2 -2
- tagger/model +2 -2
- transformer/cfg +1 -1
- transformer/model +2 -2
- vocab/lookups.bin +2 -2
- vocab/strings.json +2 -2
README.md
CHANGED
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@@ -14,51 +14,51 @@ model-index:
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metrics:
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- name: NER Precision
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type: precision
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-
value: 0.
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- name: NER Recall
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type: recall
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value: 0.
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- name: NER F Score
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type: f_score
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value: 0.
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- task:
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name: TAG
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type: token-classification
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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: 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/en#en_core_web_trf
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English transformer pipeline (roberta-base). Components: transformer, tagger, parser, ner, attribute_ruler, lemmatizer.
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| Feature | Description |
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| --- | --- |
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| **Name** | `en_core_web_trf` |
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-
| **Version** | `3.
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| **spaCy** | `>=3.
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| **Default Pipeline** | `transformer`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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| 63 |
| **Components** | `transformer`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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| 64 |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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@@ -88,12 +88,12 @@ English transformer pipeline (roberta-base). Components: transformer, tagger, pa
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| `TOKEN_P` | 99.57 |
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| `TOKEN_R` | 99.58 |
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| `TOKEN_F` | 99.57 |
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| `TAG_ACC` |
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| `SENTS_P` | 94.
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-
| `SENTS_R` |
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| `SENTS_F` |
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| `DEP_UAS` | 95.
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| `DEP_LAS` | 93.
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| `ENTS_P` | 89.
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-
| `ENTS_R` | 89.
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| `ENTS_F` | 89.90 |
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metrics:
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- name: NER Precision
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type: precision
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| 17 |
+
value: 0.8994886705
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| 18 |
- name: NER Recall
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type: recall
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+
value: 0.8985877404
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- name: NER F Score
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type: f_score
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| 23 |
+
value: 0.8990379798
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| 24 |
- task:
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name: TAG
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type: token-classification
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| 27 |
metrics:
|
| 28 |
- name: TAG (XPOS) Accuracy
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type: accuracy
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| 30 |
+
value: 0.9815755741
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| 31 |
- 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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| 37 |
+
value: 0.9505463996
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| 38 |
- 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: 0.9368643771
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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: 0.8881133524
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---
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### Details: https://spacy.io/models/en#en_core_web_trf
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+
English transformer pipeline (Transformer(name='roberta-base', piece_encoder='byte-bpe', stride=104, type='roberta', width=768, window=144, vocab_size=50265)). Components: transformer, tagger, parser, ner, attribute_ruler, lemmatizer.
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| Feature | Description |
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| --- | --- |
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| **Name** | `en_core_web_trf` |
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| **Version** | `3.7.2` |
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| **spaCy** | `>=3.7.0,<3.8.0` |
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| **Default Pipeline** | `transformer`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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| 63 |
| **Components** | `transformer`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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| 64 |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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|
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| 88 |
| `TOKEN_P` | 99.57 |
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| 89 |
| `TOKEN_R` | 99.58 |
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| 90 |
| `TOKEN_F` | 99.57 |
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| 91 |
+
| `TAG_ACC` | 98.16 |
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| 92 |
+
| `SENTS_P` | 94.29 |
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| 93 |
+
| `SENTS_R` | 83.94 |
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+
| `SENTS_F` | 88.81 |
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| 95 |
+
| `DEP_UAS` | 95.05 |
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+
| `DEP_LAS` | 93.69 |
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+
| `ENTS_P` | 89.95 |
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+
| `ENTS_R` | 89.86 |
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| `ENTS_F` | 89.90 |
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accuracy.json
CHANGED
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@@ -3,328 +3,328 @@
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"token_p": 0.9956819193,
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"token_r": 0.9957659295,
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|
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|
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"PERCENT": {
|
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|
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|
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|
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|
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"LANGUAGE": {
|
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|
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|
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|
| 327 |
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|
| 328 |
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|
| 329 |
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"speed": 3882.7148648089
|
| 330 |
}
|
attribute_ruler/patterns
CHANGED
|
Binary files a/attribute_ruler/patterns and b/attribute_ruler/patterns differ
|
|
|
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 |
|
|
@@ -49,10 +50,11 @@ use_upper = false
|
|
| 49 |
nO = null
|
| 50 |
|
| 51 |
[components.ner.model.tok2vec]
|
| 52 |
-
@architectures = "spacy-transformers.
|
| 53 |
-
|
| 54 |
upstream = "transformer"
|
| 55 |
pooling = {"@layers":"reduce_mean.v1"}
|
|
|
|
| 56 |
|
| 57 |
[components.parser]
|
| 58 |
factory = "parser"
|
|
@@ -72,10 +74,11 @@ use_upper = false
|
|
| 72 |
nO = null
|
| 73 |
|
| 74 |
[components.parser.model.tok2vec]
|
| 75 |
-
@architectures = "spacy-transformers.
|
| 76 |
-
|
| 77 |
upstream = "transformer"
|
| 78 |
pooling = {"@layers":"reduce_mean.v1"}
|
|
|
|
| 79 |
|
| 80 |
[components.tagger]
|
| 81 |
factory = "tagger"
|
|
@@ -90,32 +93,44 @@ nO = null
|
|
| 90 |
normalize = false
|
| 91 |
|
| 92 |
[components.tagger.model.tok2vec]
|
| 93 |
-
@architectures = "spacy-transformers.
|
| 94 |
-
|
| 95 |
upstream = "transformer"
|
| 96 |
pooling = {"@layers":"reduce_mean.v1"}
|
|
|
|
| 97 |
|
| 98 |
[components.transformer]
|
| 99 |
-
factory = "
|
| 100 |
-
|
| 101 |
-
|
| 102 |
|
| 103 |
[components.transformer.model]
|
| 104 |
-
|
| 105 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 106 |
mixed_precision = false
|
| 107 |
-
|
| 108 |
-
[components.transformer.model.get_spans]
|
| 109 |
-
@span_getters = "spacy-transformers.strided_spans.v1"
|
| 110 |
-
window = 128
|
| 111 |
-
stride = 96
|
| 112 |
|
| 113 |
[components.transformer.model.grad_scaler_config]
|
| 114 |
|
| 115 |
-
[components.transformer.model.
|
| 116 |
-
|
| 117 |
-
|
| 118 |
-
|
|
|
|
| 119 |
|
| 120 |
[corpora]
|
| 121 |
|
|
@@ -152,11 +167,11 @@ annotating_components = []
|
|
| 152 |
before_update = null
|
| 153 |
|
| 154 |
[training.batcher]
|
| 155 |
-
@batchers = "spacy.
|
| 156 |
-
discard_oversize =
|
| 157 |
-
get_length = null
|
| 158 |
size = 2000
|
| 159 |
-
|
|
|
|
| 160 |
|
| 161 |
[training.logger]
|
| 162 |
@loggers = "spacy.ConsoleLogger.v1"
|
|
@@ -225,6 +240,18 @@ require = false
|
|
| 225 |
path = "corpus/labels/tagger.json"
|
| 226 |
require = false
|
| 227 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 228 |
[initialize.lookups]
|
| 229 |
@misc = "spacy.LookupsDataLoader.v1"
|
| 230 |
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 |
|
|
|
|
| 50 |
nO = null
|
| 51 |
|
| 52 |
[components.ner.model.tok2vec]
|
| 53 |
+
@architectures = "spacy-curated-transformers.LastTransformerLayerListener.v1"
|
| 54 |
+
width = ${components.transformer.model.hidden_width}
|
| 55 |
upstream = "transformer"
|
| 56 |
pooling = {"@layers":"reduce_mean.v1"}
|
| 57 |
+
grad_factor = 1.0
|
| 58 |
|
| 59 |
[components.parser]
|
| 60 |
factory = "parser"
|
|
|
|
| 74 |
nO = null
|
| 75 |
|
| 76 |
[components.parser.model.tok2vec]
|
| 77 |
+
@architectures = "spacy-curated-transformers.LastTransformerLayerListener.v1"
|
| 78 |
+
width = ${components.transformer.model.hidden_width}
|
| 79 |
upstream = "transformer"
|
| 80 |
pooling = {"@layers":"reduce_mean.v1"}
|
| 81 |
+
grad_factor = 1.0
|
| 82 |
|
| 83 |
[components.tagger]
|
| 84 |
factory = "tagger"
|
|
|
|
| 93 |
normalize = false
|
| 94 |
|
| 95 |
[components.tagger.model.tok2vec]
|
| 96 |
+
@architectures = "spacy-curated-transformers.LastTransformerLayerListener.v1"
|
| 97 |
+
width = ${components.transformer.model.hidden_width}
|
| 98 |
upstream = "transformer"
|
| 99 |
pooling = {"@layers":"reduce_mean.v1"}
|
| 100 |
+
grad_factor = 1.0
|
| 101 |
|
| 102 |
[components.transformer]
|
| 103 |
+
factory = "curated_transformer"
|
| 104 |
+
all_layer_outputs = false
|
| 105 |
+
frozen = false
|
| 106 |
|
| 107 |
[components.transformer.model]
|
| 108 |
+
@architectures = "spacy-curated-transformers.RobertaTransformer.v1"
|
| 109 |
+
vocab_size = 50265
|
| 110 |
+
hidden_width = 768
|
| 111 |
+
piece_encoder = {"@architectures":"spacy-curated-transformers.ByteBpeEncoder.v1"}
|
| 112 |
+
attention_probs_dropout_prob = 0.1
|
| 113 |
+
hidden_act = "gelu"
|
| 114 |
+
hidden_dropout_prob = 0.1
|
| 115 |
+
intermediate_width = 3072
|
| 116 |
+
layer_norm_eps = 0.00001
|
| 117 |
+
max_position_embeddings = 514
|
| 118 |
+
model_max_length = 512
|
| 119 |
+
num_attention_heads = 12
|
| 120 |
+
num_hidden_layers = 12
|
| 121 |
+
padding_idx = 1
|
| 122 |
+
type_vocab_size = 1
|
| 123 |
+
torchscript = false
|
| 124 |
mixed_precision = false
|
| 125 |
+
wrapped_listener = null
|
|
|
|
|
|
|
|
|
|
|
|
|
| 126 |
|
| 127 |
[components.transformer.model.grad_scaler_config]
|
| 128 |
|
| 129 |
+
[components.transformer.model.with_spans]
|
| 130 |
+
@architectures = "spacy-curated-transformers.WithStridedSpans.v1"
|
| 131 |
+
stride = 104
|
| 132 |
+
window = 144
|
| 133 |
+
batch_size = 384
|
| 134 |
|
| 135 |
[corpora]
|
| 136 |
|
|
|
|
| 167 |
before_update = null
|
| 168 |
|
| 169 |
[training.batcher]
|
| 170 |
+
@batchers = "spacy.batch_by_words.v1"
|
| 171 |
+
discard_oversize = false
|
|
|
|
| 172 |
size = 2000
|
| 173 |
+
tolerance = 0.2
|
| 174 |
+
get_length = null
|
| 175 |
|
| 176 |
[training.logger]
|
| 177 |
@loggers = "spacy.ConsoleLogger.v1"
|
|
|
|
| 240 |
path = "corpus/labels/tagger.json"
|
| 241 |
require = false
|
| 242 |
|
| 243 |
+
[initialize.components.transformer]
|
| 244 |
+
|
| 245 |
+
[initialize.components.transformer.encoder_loader]
|
| 246 |
+
@model_loaders = "spacy-curated-transformers.HFTransformerEncoderLoader.v1"
|
| 247 |
+
name = "roberta-base"
|
| 248 |
+
revision = "main"
|
| 249 |
+
|
| 250 |
+
[initialize.components.transformer.piecer_loader]
|
| 251 |
+
@model_loaders = "spacy-curated-transformers.HFPieceEncoderLoader.v1"
|
| 252 |
+
name = "roberta-base"
|
| 253 |
+
revision = "main"
|
| 254 |
+
|
| 255 |
[initialize.lookups]
|
| 256 |
@misc = "spacy.LookupsDataLoader.v1"
|
| 257 |
lang = ${nlp.lang}
|
en_core_web_trf-any-py3-none-any.whl
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dd56d80640411c2e81c3b0cfcb6068156a459c259ae11a4ea51c625c751e3e0a
|
| 3 |
+
size 457388473
|
meta.json
CHANGED
|
@@ -1,14 +1,14 @@
|
|
| 1 |
{
|
| 2 |
"lang":"en",
|
| 3 |
"name":"core_web_trf",
|
| 4 |
-
"version":"3.
|
| 5 |
-
"description":"English transformer pipeline (roberta-base). Components: transformer, tagger, parser, ner, attribute_ruler, lemmatizer.",
|
| 6 |
"author":"Explosion",
|
| 7 |
"email":"contact@explosion.ai",
|
| 8 |
"url":"https://explosion.ai",
|
| 9 |
"license":"MIT",
|
| 10 |
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"spacy_version":">=3.
|
| 11 |
-
"spacy_git_version":"
|
| 12 |
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|
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|
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|
@@ -168,330 +168,330 @@
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| 168 |
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|
| 494 |
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"speed":
|
| 495 |
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|
| 496 |
"sources":[
|
| 497 |
{
|
|
@@ -520,6 +520,6 @@
|
|
| 520 |
}
|
| 521 |
],
|
| 522 |
"requirements":[
|
| 523 |
-
"spacy-transformers>=
|
| 524 |
]
|
| 525 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"lang":"en",
|
| 3 |
"name":"core_web_trf",
|
| 4 |
+
"version":"3.7.2",
|
| 5 |
+
"description":"English transformer pipeline (Transformer(name='roberta-base', piece_encoder='byte-bpe', stride=104, type='roberta', width=768, window=144, vocab_size=50265)). Components: transformer, tagger, parser, ner, attribute_ruler, lemmatizer.",
|
| 6 |
"author":"Explosion",
|
| 7 |
"email":"contact@explosion.ai",
|
| 8 |
"url":"https://explosion.ai",
|
| 9 |
"license":"MIT",
|
| 10 |
+
"spacy_version":">=3.7.0,<3.8.0",
|
| 11 |
+
"spacy_git_version":"6b4f77441",
|
| 12 |
"vectors":{
|
| 13 |
"width":0,
|
| 14 |
"vectors":0,
|
|
|
|
| 168 |
"token_p":0.9956819193,
|
| 169 |
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