Commit
•
3ea0468
1
Parent(s):
37c84bc
Update spaCy pipeline
Browse files- README.md +22 -22
- accuracy.json +139 -139
- config.cfg +48 -22
- fr_dep_news_trf-any-py3-none-any.whl +2 -2
- meta.json +144 -144
- morphologizer/model +2 -2
- parser/model +2 -2
- transformer/cfg +1 -1
- transformer/model +2 -2
- vocab/strings.json +2 -2
README.md
CHANGED
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@@ -14,59 +14,59 @@ 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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-
French transformer pipeline (camembert-base). Components: transformer, morphologizer, parser, attribute_ruler, lemmatizer.
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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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| 71 |
| **Components** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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@@ -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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| 98 |
-
| `POS_ACC` | 98.
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-
| `MORPH_ACC` |
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| 100 |
-
| `MORPH_MICRO_P` | 99.
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-
| `MORPH_MICRO_R` | 99.
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-
| `MORPH_MICRO_F` | 99.
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-
| `SENTS_P` |
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| `SENTS_R` |
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-
| `SENTS_F` |
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-
| `DEP_UAS` | 94.
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| 107 |
-
| `DEP_LAS` | 92.
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| 108 |
-
| `TAG_ACC` | 95.
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| 109 |
-
| `LEMMA_ACC` | 91.
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metrics:
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- name: TAG (XPOS) Accuracy
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type: accuracy
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| 17 |
+
value: 0.9595339966
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| 18 |
- task:
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name: POS
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type: token-classification
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metrics:
|
| 22 |
- name: POS (UPOS) Accuracy
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type: accuracy
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| 24 |
+
value: 0.9886076602
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| 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
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type: accuracy
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+
value: 0.9816475925
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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: 0.9172831895
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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: 0.9483856035
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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: 0.9265922369
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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: 0.9269461078
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---
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### Details: https://spacy.io/models/fr#fr_dep_news_trf
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+
French transformer pipeline (Transformer(name='camembert-base', piece_encoder='camembert-sentencepiece', stride=128, type='camembert', width=768, window=168, vocab_size=32005)). Components: transformer, morphologizer, parser, attribute_ruler, lemmatizer.
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| Feature | Description |
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| --- | --- |
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| **Name** | `fr_dep_news_trf` |
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+
| **Version** | `3.7.2` |
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+
| **spaCy** | `>=3.7.0,<3.8.0` |
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| **Default Pipeline** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer` |
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| 71 |
| **Components** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer` |
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| 72 |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
|
|
|
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| 95 |
| `TOKEN_P` | 98.44 |
|
| 96 |
| `TOKEN_R` | 98.96 |
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| 97 |
| `TOKEN_F` | 98.70 |
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| 98 |
+
| `POS_ACC` | 98.86 |
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| 99 |
+
| `MORPH_ACC` | 98.16 |
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+
| `MORPH_MICRO_P` | 99.45 |
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+
| `MORPH_MICRO_R` | 99.26 |
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| 102 |
+
| `MORPH_MICRO_F` | 99.36 |
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| 103 |
+
| `SENTS_P` | 91.49 |
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+
| `SENTS_R` | 93.93 |
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+
| `SENTS_F` | 92.69 |
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+
| `DEP_UAS` | 94.84 |
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+
| `DEP_LAS` | 92.66 |
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+
| `TAG_ACC` | 95.95 |
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+
| `LEMMA_ACC` | 91.73 |
|
accuracy.json
CHANGED
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@@ -3,56 +3,56 @@
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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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"morph_acc": 0.
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"morph_micro_p": 0.
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"morph_micro_r": 0.
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"morph_micro_f": 0.
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"morph_per_feat": {
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"Definite": {
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"r": 0.996350365,
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"Gender": {
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"Mood": {
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"r": 0.9959141982,
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"p": 1.0,
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@@ -60,9 +60,9 @@
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"f": 1.0
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"Voice": {
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"p": 1.0,
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@@ -75,76 +75,76 @@
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"p": 0.9688888889,
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"f": 0.9646017699
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"xcomp": {
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"ccomp": {
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@@ -267,9 +267,9 @@
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"f": 0.0
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"vocative": {
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"r": 0.625,
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"flat:foreign": {
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"orphan": {
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"p": 0.0,
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"f": 0.0
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}
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"tag_acc": 0.
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"lemma_acc": 0.
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"speed":
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}
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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": 0.9886076602,
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"morph_acc": 0.9816475925,
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"morph_micro_p": 0.9945065006,
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"morph_micro_r": 0.9926282442,
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"morph_micro_f": 0.9935664847,
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"morph_per_feat": {
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"Definite": {
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"p": 0.9978070175,
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"r": 0.996350365,
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"f": 0.9970781592
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"Number": {
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"r": 0.9941089838,
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"f": 0.9951165576
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"PronType": {
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"p": 0.9980756895,
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"r": 0.9955214331,
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"f": 0.996796925
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},
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"Gender": {
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 220 |
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|
| 221 |
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|
| 222 |
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|
| 223 |
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|
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|
| 225 |
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|
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|
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|
|
|
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|
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|
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|
| 228 |
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|
| 229 |
"ccomp": {
|
| 230 |
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|
| 231 |
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|
| 232 |
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|
| 233 |
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|
| 234 |
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|
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|
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|
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|
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|
| 239 |
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|
| 240 |
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|
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|
| 242 |
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|
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},
|
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"obl:agent": {
|
| 245 |
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|
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|
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|
| 248 |
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|
| 249 |
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|
| 250 |
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|
|
|
|
| 267 |
"f": 0.0
|
| 268 |
},
|
| 269 |
"vocative": {
|
| 270 |
+
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|
| 271 |
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|
| 272 |
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|
| 273 |
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|
| 274 |
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|
| 275 |
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|
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|
| 277 |
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|
| 278 |
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|
| 279 |
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|
| 280 |
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|
| 281 |
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|
| 282 |
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|
| 283 |
},
|
| 284 |
"orphan": {
|
| 285 |
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|
|
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|
| 297 |
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|
| 298 |
}
|
| 299 |
},
|
| 300 |
+
"tag_acc": 0.9595339966,
|
| 301 |
+
"lemma_acc": 0.9172831895,
|
| 302 |
+
"speed": 483.9219438961
|
| 303 |
}
|
config.cfg
CHANGED
|
@@ -17,6 +17,7 @@ after_creation = null
|
|
| 17 |
after_pipeline_creation = null
|
| 18 |
batch_size = 64
|
| 19 |
tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
|
|
|
|
| 20 |
|
| 21 |
[components]
|
| 22 |
|
|
@@ -45,10 +46,11 @@ nO = null
|
|
| 45 |
normalize = false
|
| 46 |
|
| 47 |
[components.morphologizer.model.tok2vec]
|
| 48 |
-
@architectures = "spacy-transformers.
|
| 49 |
-
|
| 50 |
upstream = "transformer"
|
| 51 |
pooling = {"@layers":"reduce_mean.v1"}
|
|
|
|
| 52 |
|
| 53 |
[components.parser]
|
| 54 |
factory = "parser"
|
|
@@ -68,32 +70,44 @@ use_upper = false
|
|
| 68 |
nO = null
|
| 69 |
|
| 70 |
[components.parser.model.tok2vec]
|
| 71 |
-
@architectures = "spacy-transformers.
|
| 72 |
-
|
| 73 |
upstream = "transformer"
|
| 74 |
pooling = {"@layers":"reduce_mean.v1"}
|
|
|
|
| 75 |
|
| 76 |
[components.transformer]
|
| 77 |
-
factory = "
|
| 78 |
-
|
| 79 |
-
|
| 80 |
|
| 81 |
[components.transformer.model]
|
| 82 |
-
|
| 83 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 84 |
mixed_precision = false
|
| 85 |
-
|
| 86 |
-
|
| 87 |
-
@span_getters = "spacy-transformers.strided_spans.v1"
|
| 88 |
-
window = 128
|
| 89 |
-
stride = 96
|
| 90 |
|
| 91 |
[components.transformer.model.grad_scaler_config]
|
| 92 |
|
| 93 |
-
[components.transformer.model.
|
| 94 |
-
|
| 95 |
-
|
| 96 |
-
|
|
|
|
| 97 |
|
| 98 |
[corpora]
|
| 99 |
|
|
@@ -130,11 +144,11 @@ annotating_components = []
|
|
| 130 |
before_update = null
|
| 131 |
|
| 132 |
[training.batcher]
|
| 133 |
-
@batchers = "spacy.
|
| 134 |
-
discard_oversize =
|
| 135 |
-
get_length = null
|
| 136 |
size = 2000
|
| 137 |
-
|
|
|
|
| 138 |
|
| 139 |
[training.logger]
|
| 140 |
@loggers = "spacy.ConsoleLogger.v1"
|
|
@@ -197,6 +211,18 @@ require = false
|
|
| 197 |
path = "corpus/labels/parser.json"
|
| 198 |
require = false
|
| 199 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 200 |
[initialize.lookups]
|
| 201 |
@misc = "spacy.LookupsDataLoader.v1"
|
| 202 |
lang = ${nlp.lang}
|
|
|
|
| 17 |
after_pipeline_creation = null
|
| 18 |
batch_size = 64
|
| 19 |
tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
|
| 20 |
+
vectors = {"@vectors":"spacy.Vectors.v1"}
|
| 21 |
|
| 22 |
[components]
|
| 23 |
|
|
|
|
| 46 |
normalize = false
|
| 47 |
|
| 48 |
[components.morphologizer.model.tok2vec]
|
| 49 |
+
@architectures = "spacy-curated-transformers.LastTransformerLayerListener.v1"
|
| 50 |
+
width = ${components.transformer.model.hidden_width}
|
| 51 |
upstream = "transformer"
|
| 52 |
pooling = {"@layers":"reduce_mean.v1"}
|
| 53 |
+
grad_factor = 1.0
|
| 54 |
|
| 55 |
[components.parser]
|
| 56 |
factory = "parser"
|
|
|
|
| 70 |
nO = null
|
| 71 |
|
| 72 |
[components.parser.model.tok2vec]
|
| 73 |
+
@architectures = "spacy-curated-transformers.LastTransformerLayerListener.v1"
|
| 74 |
+
width = ${components.transformer.model.hidden_width}
|
| 75 |
upstream = "transformer"
|
| 76 |
pooling = {"@layers":"reduce_mean.v1"}
|
| 77 |
+
grad_factor = 1.0
|
| 78 |
|
| 79 |
[components.transformer]
|
| 80 |
+
factory = "curated_transformer"
|
| 81 |
+
all_layer_outputs = false
|
| 82 |
+
frozen = false
|
| 83 |
|
| 84 |
[components.transformer.model]
|
| 85 |
+
@architectures = "spacy-curated-transformers.CamembertTransformer.v1"
|
| 86 |
+
vocab_size = 32005
|
| 87 |
+
hidden_width = 768
|
| 88 |
+
piece_encoder = {"@architectures":"spacy-curated-transformers.CamembertSentencepieceEncoder.v1"}
|
| 89 |
+
attention_probs_dropout_prob = 0.1
|
| 90 |
+
hidden_act = "gelu"
|
| 91 |
+
hidden_dropout_prob = 0.1
|
| 92 |
+
intermediate_width = 3072
|
| 93 |
+
layer_norm_eps = 0.00001
|
| 94 |
+
max_position_embeddings = 514
|
| 95 |
+
model_max_length = 512
|
| 96 |
+
num_attention_heads = 12
|
| 97 |
+
num_hidden_layers = 12
|
| 98 |
+
padding_idx = 1
|
| 99 |
+
type_vocab_size = 1
|
| 100 |
mixed_precision = false
|
| 101 |
+
torchscript = false
|
| 102 |
+
wrapped_listener = null
|
|
|
|
|
|
|
|
|
|
| 103 |
|
| 104 |
[components.transformer.model.grad_scaler_config]
|
| 105 |
|
| 106 |
+
[components.transformer.model.with_spans]
|
| 107 |
+
@architectures = "spacy-curated-transformers.WithStridedSpans.v1"
|
| 108 |
+
stride = 128
|
| 109 |
+
window = 168
|
| 110 |
+
batch_size = 384
|
| 111 |
|
| 112 |
[corpora]
|
| 113 |
|
|
|
|
| 144 |
before_update = null
|
| 145 |
|
| 146 |
[training.batcher]
|
| 147 |
+
@batchers = "spacy.batch_by_words.v1"
|
| 148 |
+
discard_oversize = false
|
|
|
|
| 149 |
size = 2000
|
| 150 |
+
tolerance = 0.2
|
| 151 |
+
get_length = null
|
| 152 |
|
| 153 |
[training.logger]
|
| 154 |
@loggers = "spacy.ConsoleLogger.v1"
|
|
|
|
| 211 |
path = "corpus/labels/parser.json"
|
| 212 |
require = false
|
| 213 |
|
| 214 |
+
[initialize.components.transformer]
|
| 215 |
+
|
| 216 |
+
[initialize.components.transformer.encoder_loader]
|
| 217 |
+
@model_loaders = "spacy-curated-transformers.HFTransformerEncoderLoader.v1"
|
| 218 |
+
name = "camembert-base"
|
| 219 |
+
revision = "main"
|
| 220 |
+
|
| 221 |
+
[initialize.components.transformer.piecer_loader]
|
| 222 |
+
@model_loaders = "spacy-curated-transformers.HFPieceEncoderLoader.v1"
|
| 223 |
+
name = "camembert-base"
|
| 224 |
+
revision = "main"
|
| 225 |
+
|
| 226 |
[initialize.lookups]
|
| 227 |
@misc = "spacy.LookupsDataLoader.v1"
|
| 228 |
lang = ${nlp.lang}
|
fr_dep_news_trf-any-py3-none-any.whl
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9977592dee6ec11b9e0d11489b1df1cfd292a78b14b0b630d28993510e21faf8
|
| 3 |
+
size 397752313
|
meta.json
CHANGED
|
@@ -1,14 +1,14 @@
|
|
| 1 |
{
|
| 2 |
"lang":"fr",
|
| 3 |
"name":"dep_news_trf",
|
| 4 |
-
"version":"3.
|
| 5 |
-
"description":"French transformer pipeline (camembert-base). Components: transformer, morphologizer, parser, attribute_ruler, lemmatizer.",
|
| 6 |
"author":"Explosion",
|
| 7 |
"email":"contact@explosion.ai",
|
| 8 |
"url":"https://explosion.ai",
|
| 9 |
"license":"LGPL-LR",
|
| 10 |
-
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| 1 |
{
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parser/model
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transformer/cfg
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{
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transformer/model
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vocab/strings.json
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