adrianeboyd
commited on
Commit
•
582cb9c
1
Parent(s):
c0f7334
Update spaCy pipeline
Browse files- README.md +19 -19
- accuracy.json +201 -201
- attribute_ruler/patterns +0 -0
- config.cfg +5 -4
- en_core_web_sm-any-py3-none-any.whl +2 -2
- meta.json +204 -204
- ner/model +2 -2
- parser/model +1 -1
- senter/model +1 -1
- tagger/model +1 -1
- tok2vec/model +2 -2
- tokenizer +0 -0
README.md
CHANGED
@@ -14,41 +14,41 @@ 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_sm
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@@ -57,8 +57,8 @@ English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
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| Feature | Description |
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| --- | --- |
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| **Name** | `en_core_web_sm` |
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-
| **Version** | `3.
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-
| **spaCy** | `>=3.
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| **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
|
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| **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
|
@@ -84,16 +84,16 @@ English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
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| Type | Score |
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| --- | --- |
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-
| `TOKEN_ACC` | 99.
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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` | 97.
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-
| `SENTS_P` |
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-
| `SENTS_R` |
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-
| `SENTS_F` | 90.
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95 |
-
| `DEP_UAS` | 91.
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96 |
-
| `DEP_LAS` | 89.
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97 |
-
| `ENTS_P` | 84.
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98 |
-
| `ENTS_R` | 84.
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-
| `ENTS_F` | 84.
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metrics:
|
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- name: NER Precision
|
16 |
type: precision
|
17 |
+
value: 0.8454836771
|
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- name: NER Recall
|
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type: recall
|
20 |
+
value: 0.8456530449
|
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- name: NER F Score
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type: f_score
|
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+
value: 0.8455683525
|
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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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30 |
+
value: 0.97246532
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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)
|
36 |
type: f_score
|
37 |
+
value: 0.9175304332
|
38 |
- task:
|
39 |
name: LABELED_DEPENDENCIES
|
40 |
type: token-classification
|
41 |
metrics:
|
42 |
- name: Labeled Attachment Score (LAS)
|
43 |
type: f_score
|
44 |
+
value: 0.89874821
|
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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: 0.9059485531
|
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---
|
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### Details: https://spacy.io/models/en#en_core_web_sm
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|
|
|
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| Feature | Description |
|
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| --- | --- |
|
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| **Name** | `en_core_web_sm` |
|
60 |
+
| **Version** | `3.5.0` |
|
61 |
+
| **spaCy** | `>=3.5.0,<3.6.0` |
|
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| **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
|
63 |
| **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
|
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
|
|
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|
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| Type | Score |
|
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| --- | --- |
|
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+
| `TOKEN_ACC` | 99.86 |
|
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| `TOKEN_P` | 99.57 |
|
89 |
| `TOKEN_R` | 99.58 |
|
90 |
| `TOKEN_F` | 99.57 |
|
91 |
+
| `TAG_ACC` | 97.25 |
|
92 |
+
| `SENTS_P` | 92.02 |
|
93 |
+
| `SENTS_R` | 89.21 |
|
94 |
+
| `SENTS_F` | 90.59 |
|
95 |
+
| `DEP_UAS` | 91.75 |
|
96 |
+
| `DEP_LAS` | 89.87 |
|
97 |
+
| `ENTS_P` | 84.55 |
|
98 |
+
| `ENTS_R` | 84.57 |
|
99 |
+
| `ENTS_F` | 84.56 |
|
accuracy.json
CHANGED
@@ -1,330 +1,330 @@
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{
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config.cfg
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|
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[components.ner.model.tok2vec.embed]
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[components.ner.model.tok2vec.encode]
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|
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