adrianeboyd commited on
Commit
37c84bc
1 Parent(s): ff7fd35

Update spaCy pipeline

Browse files
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: 0.9579788605
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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: 0.9870585202
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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: 0.9784491648
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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: 0.9167694205
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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: 0.9441518606
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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: 0.9235307728
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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: 0.9410348977
60
  ---
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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** | `3.5.0` |
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- | **spaCy** | `>=3.5.0,<3.6.0` |
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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) |
@@ -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 |
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- | `POS_ACC` | 98.71 |
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- | `MORPH_ACC` | 97.84 |
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- | `MORPH_MICRO_P` | 99.36 |
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- | `MORPH_MICRO_R` | 99.01 |
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- | `MORPH_MICRO_F` | 99.19 |
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- | `SENTS_P` | 93.32 |
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- | `SENTS_R` | 94.90 |
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- | `SENTS_F` | 94.10 |
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- | `DEP_UAS` | 94.42 |
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- | `DEP_LAS` | 92.35 |
108
- | `TAG_ACC` | 95.80 |
109
- | `LEMMA_ACC` | 91.68 |
 
14
  metrics:
15
  - name: TAG (XPOS) Accuracy
16
  type: accuracy
17
+ value: 0.9571539056
18
  - task:
19
  name: POS
20
  type: token-classification
21
  metrics:
22
  - name: POS (UPOS) Accuracy
23
  type: accuracy
24
+ value: 0.9862335654
25
  - task:
26
  name: MORPH
27
  type: token-classification
28
  metrics:
29
  - name: Morph (UFeats) Accuracy
30
  type: accuracy
31
+ value: 0.9794824209
32
  - task:
33
  name: LEMMA
34
  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: 0.9171804357
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  - task:
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  name: UNLABELED_DEPENDENCIES
41
  type: token-classification
42
  metrics:
43
  - name: Unlabeled Attachment Score (UAS)
44
  type: f_score
45
+ value: 0.9435381233
46
  - task:
47
  name: LABELED_DEPENDENCIES
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  type: token-classification
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  metrics:
50
  - name: Labeled Attachment Score (LAS)
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  type: f_score
52
+ value: 0.9227477738
53
  - task:
54
  name: SENTS
55
  type: token-classification
56
  metrics:
57
  - name: Sentences F-Score
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  type: f_score
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+ value: 0.9390681004
60
  ---
61
  ### Details: https://spacy.io/models/fr#fr_dep_news_trf
62
 
 
65
  | Feature | Description |
66
  | --- | --- |
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  | **Name** | `fr_dep_news_trf` |
68
+ | **Version** | `3.6.1` |
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+ | **spaCy** | `>=3.6.0,<3.7.0` |
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` | 98.62 |
99
+ | `MORPH_ACC` | 97.95 |
100
+ | `MORPH_MICRO_P` | 99.40 |
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+ | `MORPH_MICRO_R` | 99.09 |
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+ | `MORPH_MICRO_F` | 99.25 |
103
+ | `SENTS_P` | 92.47 |
104
+ | `SENTS_R` | 95.39 |
105
+ | `SENTS_F` | 93.91 |
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+ | `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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  "token_p": 0.9844389844,
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  "token_r": 0.9896058454,
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  "token_f": 0.9870156531,
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- "pos_acc": 0.9870585202,
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- "morph_acc": 0.9784491648,
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- "morph_micro_p": 0.9936410884,
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- "morph_micro_r": 0.9900694529,
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- "morph_micro_f": 0.9918520553,
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  "morph_per_feat": {
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- "f": 0.9961489089
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  },
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  "Gender": {
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- "r": 0.9838998211,
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- "f": 0.9857892715
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  },
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  "Mood": {
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- "r": 0.9964476021,
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- "f": 0.9973333333
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  },
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  "Person": {
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  "p": 0.9962121212,
@@ -40,19 +40,19 @@
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  "f": 0.9943289225
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  },
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  "Tense": {
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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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  },
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  "Voice": {
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  "r": 0.9910714286,
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- "f": 0.9779735683
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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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  },
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- "dep_las": 0.9235307728,
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@@ -192,59 +192,59 @@
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  "expl:subj": {
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@@ -267,9 +267,9 @@
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@@ -297,7 +297,7 @@
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- "tag_acc": 0.9579788605,
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- "lemma_acc": 0.9167694205,
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- "speed": 2617.175124839
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  }
 
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37
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@@ -78,8 +79,8 @@ max_batch_items = 4096
78
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80
  [components.transformer.model]
81
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82
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83
  mixed_precision = false
84
 
85
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36
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79
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81
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82
  name = "camembert-base"
83
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84
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86
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