adrianeboyd
commited on
Commit
•
17c49af
1
Parent(s):
25fc841
Update spaCy pipeline
Browse files- README.md +7 -7
- accuracy.json +65 -65
- en_core_web_lg-any-py3-none-any.whl +2 -2
- meta.json +67 -67
- ner/model +1 -1
README.md
CHANGED
@@ -14,13 +14,13 @@ 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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@@ -57,7 +57,7 @@ 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_lg` |
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-
| **Version** | `3.4.
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| **spaCy** | `>=3.4.0,<3.5.0` |
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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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@@ -94,6 +94,6 @@ English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
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| `SENTS_F` | 90.44 |
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| `DEP_UAS` | 92.04 |
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| `DEP_LAS` | 90.23 |
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-
| `ENTS_P` |
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-
| `ENTS_R` |
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-
| `ENTS_F` | 85.
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metrics:
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- name: NER Precision
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type: precision
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+
value: 0.8535469108
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- name: NER Recall
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type: recall
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+
value: 0.8592748397
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- name: NER F Score
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type: f_score
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+
value: 0.8564012977
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- task:
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name: TAG
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type: token-classification
|
|
|
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| Feature | Description |
|
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| --- | --- |
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| **Name** | `en_core_web_lg` |
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60 |
+
| **Version** | `3.4.1` |
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| **spaCy** | `>=3.4.0,<3.5.0` |
|
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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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| `SENTS_F` | 90.44 |
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| `DEP_UAS` | 92.04 |
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| `DEP_LAS` | 90.23 |
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+
| `ENTS_P` | 85.35 |
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+
| `ENTS_R` | 85.93 |
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+
| `ENTS_F` | 85.64 |
|
accuracy.json
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en_core_web_lg-any-py3-none-any.whl
CHANGED
@@ -1,3 +1,3 @@
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meta.json
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{
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ner/model
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size 6511153
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