adrianeboyd
commited on
Commit
•
37c84bc
1
Parent(s):
ff7fd35
Update spaCy pipeline
Browse files- README.md +21 -21
- accuracy.json +130 -130
- config.cfg +2 -1
- fr_dep_news_trf-any-py3-none-any.whl +2 -2
- meta.json +134 -134
- morphologizer/cfg +1 -0
- morphologizer/model +1 -1
- parser/model +1 -1
- transformer/model +2 -2
README.md
CHANGED
@@ -14,49 +14,49 @@ 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/fr#fr_dep_news_trf
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@@ -65,8 +65,8 @@ French transformer pipeline (camembert-base). Components: transformer, morpholog
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| Feature | Description |
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| --- | --- |
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| **Name** | `fr_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 @@ French transformer pipeline (camembert-base). Components: transformer, morpholog
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| `TOKEN_P` | 98.44 |
|
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| `TOKEN_R` | 98.96 |
|
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| `TOKEN_F` | 98.70 |
|
98 |
-
| `POS_ACC` | 98.
|
99 |
-
| `MORPH_ACC` | 97.
|
100 |
-
| `MORPH_MICRO_P` | 99.
|
101 |
-
| `MORPH_MICRO_R` | 99.
|
102 |
-
| `MORPH_MICRO_F` | 99.
|
103 |
-
| `SENTS_P` |
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104 |
-
| `SENTS_R` |
|
105 |
-
| `SENTS_F` |
|
106 |
-
| `DEP_UAS` | 94.
|
107 |
-
| `DEP_LAS` | 92.
|
108 |
-
| `TAG_ACC` | 95.
|
109 |
-
| `LEMMA_ACC` | 91.
|
|
|
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metrics:
|
15 |
- name: TAG (XPOS) Accuracy
|
16 |
type: accuracy
|
17 |
+
value: 0.9571539056
|
18 |
- task:
|
19 |
name: POS
|
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type: token-classification
|
21 |
metrics:
|
22 |
- name: POS (UPOS) Accuracy
|
23 |
type: accuracy
|
24 |
+
value: 0.9862335654
|
25 |
- 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
|
30 |
type: accuracy
|
31 |
+
value: 0.9794824209
|
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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
|
37 |
type: accuracy
|
38 |
+
value: 0.9171804357
|
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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: 0.9435381233
|
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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)
|
51 |
type: f_score
|
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+
value: 0.9227477738
|
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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: 0.9390681004
|
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---
|
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### Details: https://spacy.io/models/fr#fr_dep_news_trf
|
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|
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| Feature | Description |
|
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| --- | --- |
|
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| **Name** | `fr_dep_news_trf` |
|
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+
| **Version** | `3.6.1` |
|
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+
| **spaCy** | `>=3.6.0,<3.7.0` |
|
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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) |
|
|
|
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| `TOKEN_P` | 98.44 |
|
96 |
| `TOKEN_R` | 98.96 |
|
97 |
| `TOKEN_F` | 98.70 |
|
98 |
+
| `POS_ACC` | 98.62 |
|
99 |
+
| `MORPH_ACC` | 97.95 |
|
100 |
+
| `MORPH_MICRO_P` | 99.40 |
|
101 |
+
| `MORPH_MICRO_R` | 99.09 |
|
102 |
+
| `MORPH_MICRO_F` | 99.25 |
|
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+
| `SENTS_P` | 92.47 |
|
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+
| `SENTS_R` | 95.39 |
|
105 |
+
| `SENTS_F` | 93.91 |
|
106 |
+
| `DEP_UAS` | 94.35 |
|
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+
| `DEP_LAS` | 92.27 |
|
108 |
+
| `TAG_ACC` | 95.72 |
|
109 |
+
| `LEMMA_ACC` | 91.72 |
|
accuracy.json
CHANGED
@@ -3,36 +3,36 @@
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@@ -40,19 +40,19 @@
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"Tense": {
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@@ -60,9 +60,9 @@
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@@ -75,116 +75,116 @@
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@@ -192,59 +192,59 @@
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@@ -267,9 +267,9 @@
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@@ -277,9 +277,9 @@
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@@ -297,7 +297,7 @@
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config.cfg
CHANGED
@@ -35,6 +35,7 @@ scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
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|
35 |
[components.morphologizer]
|
36 |
factory = "morphologizer"
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37 |
extend = false
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|
|
38 |
overwrite = true
|
39 |
scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
|
40 |
|
@@ -78,8 +79,8 @@ max_batch_items = 4096
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|
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set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
|
79 |
|
80 |
[components.transformer.model]
|
81 |
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@architectures = "spacy-transformers.TransformerModel.v3"
|
82 |
name = "camembert-base"
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|
|
83 |
mixed_precision = false
|
84 |
|
85 |
[components.transformer.model.get_spans]
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|
|
35 |
[components.morphologizer]
|
36 |
factory = "morphologizer"
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37 |
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38 |
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label_smoothing = 0.0
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|
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set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
|
80 |
|
81 |
[components.transformer.model]
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|
|
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name = "camembert-base"
|
83 |
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@architectures = "spacy-transformers.TransformerModel.v3"
|
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mixed_precision = false
|
85 |
|
86 |
[components.transformer.model.get_spans]
|
fr_dep_news_trf-any-py3-none-any.whl
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1 |
version https://git-lfs.github.com/spec/v1
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meta.json
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{
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