adrianeboyd
commited on
Commit
·
cbe7e92
1
Parent(s):
0d2edc9
Update spaCy pipeline
Browse files- README.md +19 -19
- accuracy.json +144 -144
- attribute_ruler/patterns +0 -0
- config.cfg +2 -1
- es_dep_news_trf-any-py3-none-any.whl +2 -2
- meta.json +148 -148
- morphologizer/model +1 -1
- parser/model +1 -1
- tokenizer +1 -1
- transformer/model +2 -2
- vocab/strings.json +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/es#es_dep_news_trf
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|
@@ -65,8 +65,8 @@ Spanish transformer pipeline (dccuchile/bert-base-spanish-wwm-cased). Components
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| Feature | Description |
|
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| --- | --- |
|
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| **Name** | `es_dep_news_trf` |
|
68 |
-
| **Version** | `3.
|
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-
| **spaCy** | `>=3.
|
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| **Default Pipeline** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer` |
|
71 |
| **Components** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer` |
|
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
|
@@ -95,15 +95,15 @@ Spanish transformer pipeline (dccuchile/bert-base-spanish-wwm-cased). Components
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|
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| `TOKEN_P` | 99.89 |
|
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| `TOKEN_R` | 99.95 |
|
97 |
| `TOKEN_F` | 99.92 |
|
98 |
-
| `POS_ACC` | 99.
|
99 |
-
| `MORPH_ACC` | 98.
|
100 |
| `MORPH_MICRO_P` | 99.68 |
|
101 |
-
| `MORPH_MICRO_R` | 99.
|
102 |
-
| `MORPH_MICRO_F` | 99.
|
103 |
-
| `SENTS_P` | 96.
|
104 |
-
| `SENTS_R` |
|
105 |
-
| `SENTS_F` | 97.
|
106 |
| `DEP_UAS` | 94.74 |
|
107 |
-
| `DEP_LAS` | 92.
|
108 |
-
| `TAG_ACC` | 96.
|
109 |
-
| `LEMMA_ACC` | 96.
|
|
|
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metrics:
|
15 |
- name: TAG (XPOS) Accuracy
|
16 |
type: accuracy
|
17 |
+
value: 0.9676584487
|
18 |
- task:
|
19 |
name: POS
|
20 |
type: token-classification
|
21 |
metrics:
|
22 |
- name: POS (UPOS) Accuracy
|
23 |
type: accuracy
|
24 |
+
value: 0.9915647406
|
25 |
- task:
|
26 |
name: MORPH
|
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type: token-classification
|
28 |
metrics:
|
29 |
- name: Morph (UFeats) Accuracy
|
30 |
type: accuracy
|
31 |
+
value: 0.9881421409
|
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- task:
|
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name: LEMMA
|
34 |
type: token-classification
|
35 |
metrics:
|
36 |
- name: Lemma Accuracy
|
37 |
type: accuracy
|
38 |
+
value: 0.968172888
|
39 |
- 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)
|
44 |
type: f_score
|
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+
value: 0.9474039771
|
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- task:
|
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name: LABELED_DEPENDENCIES
|
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type: token-classification
|
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metrics:
|
50 |
- name: Labeled Attachment Score (LAS)
|
51 |
type: f_score
|
52 |
+
value: 0.9298190178
|
53 |
- task:
|
54 |
name: SENTS
|
55 |
type: token-classification
|
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metrics:
|
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- name: Sentences F-Score
|
58 |
type: f_score
|
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+
value: 0.96996997
|
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---
|
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### Details: https://spacy.io/models/es#es_dep_news_trf
|
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|
|
|
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| Feature | Description |
|
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| --- | --- |
|
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| **Name** | `es_dep_news_trf` |
|
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+
| **Version** | `3.5.0` |
|
69 |
+
| **spaCy** | `>=3.5.0,<3.6.0` |
|
70 |
| **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) |
|
|
|
95 |
| `TOKEN_P` | 99.89 |
|
96 |
| `TOKEN_R` | 99.95 |
|
97 |
| `TOKEN_F` | 99.92 |
|
98 |
+
| `POS_ACC` | 99.16 |
|
99 |
+
| `MORPH_ACC` | 98.81 |
|
100 |
| `MORPH_MICRO_P` | 99.68 |
|
101 |
+
| `MORPH_MICRO_R` | 99.36 |
|
102 |
+
| `MORPH_MICRO_F` | 99.52 |
|
103 |
+
| `SENTS_P` | 96.36 |
|
104 |
+
| `SENTS_R` | 97.64 |
|
105 |
+
| `SENTS_F` | 97.00 |
|
106 |
| `DEP_UAS` | 94.74 |
|
107 |
+
| `DEP_LAS` | 92.98 |
|
108 |
+
| `TAG_ACC` | 96.77 |
|
109 |
+
| `LEMMA_ACC` | 96.82 |
|
accuracy.json
CHANGED
@@ -1,33 +1,33 @@
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"token_r": 0.9995398685,
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"token_f": 0.9992237736,
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"morph_acc": 0.
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"morph_micro_p": 0.
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"morph_micro_r": 0.
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"morph_per_feat": {
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"Definite": {
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"r": 0.9991440799,
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"Gender": {
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@@ -35,34 +35,34 @@
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"f": 0.9994417418
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"VerbForm": {
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"Poss": {
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@@ -75,24 +75,24 @@
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"f": 0.998998999
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"Case": {
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@@ -100,9 +100,9 @@
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@@ -115,156 +115,156 @@
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@@ -272,9 +272,9 @@
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