adrianeboyd
commited on
Commit
•
a134d22
1
Parent(s):
11764b8
Update spaCy pipeline
Browse files- README.md +19 -19
- accuracy.json +193 -193
- config.cfg +1 -0
- en_core_web_trf-any-py3-none-any.whl +2 -2
- meta.json +197 -197
- ner/model +1 -1
- parser/model +1 -1
- tagger/model +1 -1
- tokenizer +0 -0
- transformer/model +2 -2
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_trf
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@@ -57,8 +57,8 @@ English transformer pipeline (roberta-base). Components: transformer, tagger, pa
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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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| **Components** | `transformer`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
|
@@ -84,16 +84,16 @@ English transformer pipeline (roberta-base). Components: transformer, tagger, pa
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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` | 95.
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-
| `SENTS_R` |
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-
| `SENTS_F` |
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95 |
-
| `DEP_UAS` | 95.
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-
| `DEP_LAS` | 93.
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-
| `ENTS_P` | 89.
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98 |
-
| `ENTS_R` | 90.
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-
| `ENTS_F` |
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metrics:
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- name: NER Precision
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type: precision
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+
value: 0.8977938984
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- name: NER Recall
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type: recall
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+
value: 0.9048978365
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- name: NER F Score
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type: f_score
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+
value: 0.9013318701
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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: 0.9778773818
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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: 0.9527427739
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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)
|
43 |
type: f_score
|
44 |
+
value: 0.9395456671
|
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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: 0.8969481605
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---
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### Details: https://spacy.io/models/en#en_core_web_trf
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|
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| Feature | Description |
|
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| --- | --- |
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| **Name** | `en_core_web_trf` |
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+
| **Version** | `3.5.0` |
|
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+
| **spaCy** | `>=3.5.0,<3.6.0` |
|
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| **Default Pipeline** | `transformer`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
|
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| **Components** | `transformer`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
|
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
|
|
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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 |
|
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| `TOKEN_R` | 99.58 |
|
90 |
| `TOKEN_F` | 99.57 |
|
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+
| `TAG_ACC` | 97.79 |
|
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+
| `SENTS_P` | 95.04 |
|
93 |
+
| `SENTS_R` | 84.92 |
|
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+
| `SENTS_F` | 89.69 |
|
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+
| `DEP_UAS` | 95.27 |
|
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+
| `DEP_LAS` | 93.95 |
|
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+
| `ENTS_P` | 89.78 |
|
98 |
+
| `ENTS_R` | 90.49 |
|
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+
| `ENTS_F` | 90.13 |
|
accuracy.json
CHANGED
@@ -1,330 +1,330 @@
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frozen_components = []
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|
@@ -520,6 +520,6 @@
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