EC2 Default User commited on
Commit
2b4ec3d
1 Parent(s): a325d13

Update spaCy pipeline

Browse files
.gitattributes CHANGED
@@ -19,3 +19,5 @@
19
  *strings.json filter=lfs diff=lfs merge=lfs -text
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  vectors filter=lfs diff=lfs merge=lfs -text
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  model filter=lfs diff=lfs merge=lfs -text
 
 
 
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  *strings.json filter=lfs diff=lfs merge=lfs -text
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  vectors filter=lfs diff=lfs merge=lfs -text
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  model filter=lfs diff=lfs merge=lfs -text
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+ *key2row filter=lfs diff=lfs merge=lfs -text
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+ *tokenizer filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -8,40 +8,55 @@ license: lgpl-lr
8
  model-index:
9
  - name: fr_dep_news_trf
10
  results:
 
 
 
 
 
 
 
11
  - task:
12
  name: POS
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  type: token-classification
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  metrics:
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- - name: POS Accuracy
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  type: accuracy
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- value: 0.9573063834
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  - task:
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- name: SENTER
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  type: token-classification
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  metrics:
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- - name: SENTER Precision
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- type: precision
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- value: 0.8835616438
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- - name: SENTER Recall
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- type: recall
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- value: 0.9393203883
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- - name: SENTER F Score
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- type: f_score
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- value: 0.9105882353
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  - task:
32
- name: UNLABELED_DEPENDENCIES
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  type: token-classification
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  metrics:
35
- - name: Unlabeled Dependencies Accuracy
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  type: accuracy
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- value: 0.9492309471
 
 
 
 
 
 
 
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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 Dependencies Accuracy
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- type: accuracy
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- value: 0.9492309471
 
 
 
 
 
 
 
45
  ---
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  ### Details: https://spacy.io/models/fr#fr_dep_news_trf
47
 
@@ -50,8 +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** | `3.2.0` |
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- | **spaCy** | `>=3.2.0,<3.3.0` |
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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) |
@@ -80,15 +95,15 @@ French transformer pipeline (camembert-base). Components: transformer, morpholog
80
  | `TOKEN_P` | 98.44 |
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  | `TOKEN_R` | 98.96 |
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  | `TOKEN_F` | 98.70 |
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- | `POS_ACC` | 98.64 |
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- | `MORPH_ACC` | 97.92 |
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- | `MORPH_MICRO_P` | 99.34 |
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- | `MORPH_MICRO_R` | 99.08 |
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- | `MORPH_MICRO_F` | 99.21 |
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- | `SENTS_P` | 88.36 |
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- | `SENTS_R` | 93.93 |
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- | `SENTS_F` | 91.06 |
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- | `DEP_UAS` | 94.92 |
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- | `DEP_LAS` | 92.96 |
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- | `TAG_ACC` | 95.73 |
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- | `LEMMA_ACC` | 91.18 |
 
8
  model-index:
9
  - name: fr_dep_news_trf
10
  results:
11
+ - 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: 0.9580239274
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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: 0.9871080858
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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: 0.9790173738
 
 
 
 
 
 
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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: 0.9122482532
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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: 0.947216113
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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: 0.9271002083
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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: 0.9377990431
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  ---
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  ### Details: https://spacy.io/models/fr#fr_dep_news_trf
62
 
 
65
  | Feature | Description |
66
  | --- | --- |
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  | **Name** | `fr_dep_news_trf` |
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+ | **Version** | `3.3.0` |
69
+ | **spaCy** | `>=3.3.0.dev0,<3.4.0` |
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` | 98.44 |
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  | `TOKEN_R` | 98.96 |
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  | `TOKEN_F` | 98.70 |
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+ | `POS_ACC` | 98.71 |
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+ | `MORPH_ACC` | 97.90 |
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+ | `MORPH_MICRO_P` | 99.40 |
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+ | `MORPH_MICRO_R` | 99.06 |
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+ | `MORPH_MICRO_F` | 99.23 |
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+ | `SENTS_P` | 92.45 |
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+ | `SENTS_R` | 95.15 |
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+ | `SENTS_F` | 93.78 |
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+ | `DEP_UAS` | 94.72 |
107
+ | `DEP_LAS` | 92.71 |
108
+ | `TAG_ACC` | 95.80 |
109
+ | `LEMMA_ACC` | 91.22 |
accuracy.json CHANGED
@@ -3,56 +3,56 @@
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  "token_r": 0.9896058454,
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  "token_f": 0.9870156531,
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- "pos_acc": 0.9863875425,
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- "morph_acc": 0.9791731106,
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  "morph_per_feat": {
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  "Gender": {
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  },
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  "Mood": {
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  "Person": {
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  "Reflex": {
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  "p": 1.0,
@@ -60,9 +60,9 @@
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  "f": 1.0
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  "Voice": {
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  "Poss": {
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  "p": 1.0,
@@ -75,116 +75,116 @@
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  "f": 1.0
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  }
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@@ -192,14 +192,14 @@
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@@ -207,44 +207,44 @@
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@@ -267,9 +267,9 @@
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@@ -297,7 +297,7 @@
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- "tag_acc": 0.9573063834,
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  }
 
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