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spacy
/
fr_dep_news_trf

Token Classification
spaCy
French
Eval Results
Model card Files Community
1
adrianeboyd commited on
Commit
ff7fd35
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1 Parent(s): 8ea0943

Update spaCy pipeline

Browse files
Files changed (11) hide show
  1. README.md +22 -22
  2. accuracy.json +134 -134
  3. attribute_ruler/patterns +0 -0
  4. config.cfg +2 -1
  5. fr_dep_news_trf-any-py3-none-any.whl +2 -2
  6. meta.json +139 -139
  7. morphologizer/model +1 -1
  8. parser/model +1 -1
  9. tokenizer +2 -2
  10. transformer/model +2 -2
  11. vocab/strings.json +2 -2
README.md CHANGED
@@ -14,49 +14,49 @@ model-index:
14
  metrics:
15
  - name: TAG (XPOS) Accuracy
16
  type: accuracy
17
- value: 0.9577726218
18
  - task:
19
  name: POS
20
  type: token-classification
21
  metrics:
22
  - name: POS (UPOS) Accuracy
23
  type: accuracy
24
- value: 0.9868522815
25
  - task:
26
  name: MORPH
27
  type: token-classification
28
  metrics:
29
  - name: Morph (UFeats) Accuracy
30
  type: accuracy
31
- value: 0.9794319295
32
  - task:
33
  name: LEMMA
34
  type: token-classification
35
  metrics:
36
  - name: Lemma Accuracy
37
  type: accuracy
38
- value: 0.9122482532
39
  - task:
40
  name: UNLABELED_DEPENDENCIES
41
  type: token-classification
42
  metrics:
43
  - name: Unlabeled Attachment Score (UAS)
44
  type: f_score
45
- value: 0.946357271
46
  - task:
47
  name: LABELED_DEPENDENCIES
48
  type: token-classification
49
  metrics:
50
  - name: Labeled Attachment Score (LAS)
51
  type: f_score
52
- value: 0.9249725227
53
  - task:
54
  name: SENTS
55
  type: token-classification
56
  metrics:
57
  - name: Sentences F-Score
58
  type: f_score
59
- value: 0.9447115385
60
  ---
61
  ### Details: https://spacy.io/models/fr#fr_dep_news_trf
62
 
@@ -65,8 +65,8 @@ French transformer pipeline (camembert-base). Components: transformer, morpholog
65
  | Feature | Description |
66
  | --- | --- |
67
  | **Name** | `fr_dep_news_trf` |
68
- | **Version** | `3.4.0` |
69
- | **spaCy** | `>=3.4.0,<3.5.0` |
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) |
@@ -91,19 +91,19 @@ French transformer pipeline (camembert-base). Components: transformer, morpholog
91
 
92
  | Type | Score |
93
  | --- | --- |
94
- | `TOKEN_ACC` | 99.90 |
95
  | `TOKEN_P` | 98.44 |
96
  | `TOKEN_R` | 98.96 |
97
  | `TOKEN_F` | 98.70 |
98
- | `POS_ACC` | 98.69 |
99
- | `MORPH_ACC` | 97.94 |
100
- | `MORPH_MICRO_P` | 99.37 |
101
- | `MORPH_MICRO_R` | 99.10 |
102
- | `MORPH_MICRO_F` | 99.23 |
103
- | `SENTS_P` | 93.57 |
104
- | `SENTS_R` | 95.39 |
105
- | `SENTS_F` | 94.47 |
106
- | `DEP_UAS` | 94.64 |
107
- | `DEP_LAS` | 92.50 |
108
- | `TAG_ACC` | 95.78 |
109
- | `LEMMA_ACC` | 91.22 |
14
  metrics:
15
  - name: TAG (XPOS) Accuracy
16
  type: accuracy
17
+ value: 0.9579788605
18
  - task:
19
  name: POS
20
  type: token-classification
21
  metrics:
22
  - name: POS (UPOS) Accuracy
23
  type: accuracy
24
+ value: 0.9870585202
25
  - task:
26
  name: MORPH
27
  type: token-classification
28
  metrics:
29
  - name: Morph (UFeats) Accuracy
30
  type: accuracy
31
+ value: 0.9784491648
32
  - task:
33
  name: LEMMA
34
  type: token-classification
35
  metrics:
36
  - name: Lemma Accuracy
37
  type: accuracy
38
+ value: 0.9167694205
39
  - task:
40
  name: UNLABELED_DEPENDENCIES
41
  type: token-classification
42
  metrics:
43
  - name: Unlabeled Attachment Score (UAS)
44
  type: f_score
45
+ value: 0.9441518606
46
  - task:
47
  name: LABELED_DEPENDENCIES
48
  type: token-classification
49
  metrics:
50
  - name: Labeled Attachment Score (LAS)
51
  type: f_score
52
+ value: 0.9235307728
53
  - task:
54
  name: SENTS
55
  type: token-classification
56
  metrics:
57
  - name: Sentences F-Score
58
  type: f_score
59
+ value: 0.9410348977
60
  ---
61
  ### Details: https://spacy.io/models/fr#fr_dep_news_trf
62
 
65
  | Feature | Description |
66
  | --- | --- |
67
  | **Name** | `fr_dep_news_trf` |
68
+ | **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) |
91
 
92
  | Type | Score |
93
  | --- | --- |
94
+ | `TOKEN_ACC` | 99.80 |
95
  | `TOKEN_P` | 98.44 |
96
  | `TOKEN_R` | 98.96 |
97
  | `TOKEN_F` | 98.70 |
98
+ | `POS_ACC` | 98.71 |
99
+ | `MORPH_ACC` | 97.84 |
100
+ | `MORPH_MICRO_P` | 99.36 |
101
+ | `MORPH_MICRO_R` | 99.01 |
102
+ | `MORPH_MICRO_F` | 99.19 |
103
+ | `SENTS_P` | 93.32 |
104
+ | `SENTS_R` | 94.90 |
105
+ | `SENTS_F` | 94.10 |
106
+ | `DEP_UAS` | 94.42 |
107
+ | `DEP_LAS` | 92.35 |
108
+ | `TAG_ACC` | 95.80 |
109
+ | `LEMMA_ACC` | 91.68 |
accuracy.json CHANGED
@@ -1,58 +1,58 @@
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  {
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- "token_acc": 0.9989751998,
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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": 0.9868522815,
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- "morph_acc": 0.9794319295,
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- "morph_micro_p": 0.9937076181,
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- "morph_micro_r": 0.9909833069,
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- "morph_micro_f": 0.9923435927,
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  "morph_per_feat": {
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  "Definite": {
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- "p": 0.9985358712,
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  "r": 0.995620438,
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  },
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  "Number": {
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- "r": 0.992820324,
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- "f": 0.9942846608
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  },
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  "PronType": {
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- "p": 0.9987138264,
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- "r": 0.9936020473,
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- "f": 0.9961513791
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  },
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  "Gender": {
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- "p": 0.988974359,
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- "r": 0.9856887299,
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- "f": 0.987328811
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  },
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  "Mood": {
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- "p": 0.9982238011,
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- "r": 0.9982238011,
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- "f": 0.9982238011
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  },
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  "Person": {
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- "p": 0.9974779319,
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- "r": 0.9949685535,
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- "f": 0.9962216625
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  },
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  "Tense": {
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- "p": 0.987854251,
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- "f": 0.9923741739
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  },
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  "VerbForm": {
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- "p": 0.9917627677,
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- "r": 0.9966887417,
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- "f": 0.9942196532
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  },
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  "NumType": {
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- "p": 1.0,
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- "r": 0.9180887372,
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- "f": 0.9572953737
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  },
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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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- "p": 0.9327731092,
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  "r": 0.9910714286,
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- "f": 0.961038961
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  },
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  "Poss": {
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  "p": 1.0,
@@ -75,21 +75,21 @@
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  "f": 1.0
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  }
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  },
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- "sents_p": 0.9357142857,
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- "sents_r": 0.9538834951,
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- "sents_f": 0.9447115385,
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- "dep_uas": 0.946357271,
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- "dep_las": 0.9249725227,
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  "dep_las_per_type": {
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  "det": {
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  "aux:tense": {
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  "p": 0.9609375,
@@ -97,154 +97,154 @@
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  "f": 0.9723320158
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  },
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  "root": {
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- "f": 0.9449541284
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  "case": {
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  "expl:subj": {
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  "expl:comp": {
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@@ -277,9 +277,9 @@
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  "f": 0.0
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@@ -297,7 +297,7 @@
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  "f": 0.0
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- "tag_acc": 0.9577726218,
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- "lemma_acc": 0.9122482532,
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- "speed": 3069.1330090473
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  }
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  "Reflex": {
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  "Voice": {
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