Commit
•
3ba7d0f
1
Parent(s):
787c4de
Update spaCy pipeline
Browse files- README.md +27 -21
- accuracy.json +174 -168
- config.cfg +30 -26
- meta.json +177 -171
- morphologizer/cfg +3 -1
- morphologizer/model +1 -1
- ner/model +2 -2
- parser/model +1 -1
- ru_core_news_lg-any-py3-none-any.whl +2 -2
- senter/cfg +1 -1
- senter/model +2 -2
- tok2vec/model +2 -2
- tokenizer +2 -2
- vocab/strings.json +2 -2
- vocab/vectors.cfg +3 -0
README.md
CHANGED
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@@ -14,47 +14,47 @@ model-index:
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metrics:
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- name: NER Precision
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type: precision
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value: 0.
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- name: NER Recall
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type: recall
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value: 0.
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- name: NER F Score
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type: f_score
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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 Accuracy
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type: accuracy
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value: 0.
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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.
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- name: SENTER Recall
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type: recall
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-
value: 0.
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- name: SENTER F Score
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type: f_score
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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 Dependencies Accuracy
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type: accuracy
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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 Dependencies Accuracy
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type: accuracy
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-
value: 0.
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---
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### Details: https://spacy.io/models/ru#ru_core_news_lg
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@@ -63,8 +63,8 @@ Russian pipeline optimized for CPU. Components: tok2vec, morphologizer, parser,
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| Feature | Description |
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| --- | --- |
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| **Name** | `ru_core_news_lg` |
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-
| **Version** | `3.
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| **spaCy** | `>=3.
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| **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Vectors** | 500002 keys, 500002 unique vectors (300 dimensions) |
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@@ -92,15 +92,21 @@ Russian pipeline optimized for CPU. Components: tok2vec, morphologizer, parser,
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| Type | Score |
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| --- | --- |
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| `TOKEN_ACC` | 99.85 |
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| `
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| `POS_ACC` | 98.94 |
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| `MORPH_ACC` | 97.
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| `LEMMA_ACC` | 0.00 |
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| `
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| `
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| `
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| `ENTS_R` | 95.14 |
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| `ENTS_F` | 94.72 |
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| `SENTS_P` | 99.89 |
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| `SENTS_R` | 99.89 |
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| `SENTS_F` | 99.89 |
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metrics:
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- name: NER Precision
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type: precision
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| 17 |
+
value: 0.9447151739
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- name: NER Recall
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type: recall
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+
value: 0.9463053358
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- name: NER F Score
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type: f_score
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+
value: 0.9455095863
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| 24 |
- 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 Accuracy
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type: accuracy
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+
value: 0.989438969
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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: 0.9982866933
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- name: SENTER Recall
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type: recall
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+
value: 0.997716895
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- name: SENTER F Score
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type: f_score
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+
value: 0.9980017128
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| 44 |
- 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 Dependencies Accuracy
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type: accuracy
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+
value: 0.9622900464
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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: 0.9622900464
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---
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### Details: https://spacy.io/models/ru#ru_core_news_lg
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| Feature | Description |
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| --- | --- |
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| **Name** | `ru_core_news_lg` |
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+
| **Version** | `3.2.0` |
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| 67 |
+
| **spaCy** | `>=3.2.0,<3.3.0` |
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| **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Vectors** | 500002 keys, 500002 unique vectors (300 dimensions) |
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| Type | Score |
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| --- | --- |
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| `TOKEN_ACC` | 99.85 |
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| `TOKEN_P` | 97.28 |
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| `TOKEN_R` | 98.34 |
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+
| `TOKEN_F` | 97.81 |
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| `POS_ACC` | 98.94 |
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+
| `MORPH_ACC` | 97.50 |
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+
| `MORPH_MICRO_P` | 98.99 |
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+
| `MORPH_MICRO_R` | 98.34 |
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+
| `MORPH_MICRO_F` | 98.67 |
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| `SENTS_P` | 99.83 |
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+
| `SENTS_R` | 99.77 |
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| `SENTS_F` | 99.80 |
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| `DEP_UAS` | 96.23 |
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| `DEP_LAS` | 95.12 |
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| `TAG_ACC` | 98.94 |
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| `LEMMA_ACC` | 0.00 |
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+
| `ENTS_P` | 94.47 |
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+
| `ENTS_R` | 94.63 |
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| `ENTS_F` | 94.55 |
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accuracy.json
CHANGED
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@@ -1,73 +1,68 @@
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{
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"token_acc": 0.9984532137,
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-
"
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"
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"ents_f": 0.9472096531,
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"sents_p": 0.9988584475,
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"sents_r": 0.9988584475,
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-
"sents_f": 0.9988584475,
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-
"speed": 3736.668839502,
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"morph_per_feat": {
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"Animacy": {
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-
"p": 0.
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"r": 0.
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"f": 0.
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},
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"Case": {
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"r": 0.
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"f": 0.
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},
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"Gender": {
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-
"p": 0.
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"r": 0.
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"f": 0.
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},
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"Number": {
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"p": 0.
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"r": 0.
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"f": 0.
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},
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"Degree": {
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"p": 0.
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"r": 0.
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"f": 0.
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},
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"Aspect": {
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"p": 0.
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"r": 0.
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"f": 0.
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},
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"Mood": {
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-
"p": 0.
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"r": 0.
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-
"f": 0.
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},
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"Tense": {
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-
"p": 0.
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"r": 0.
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"f": 0.
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},
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"VerbForm": {
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"f": 0.
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"Voice": {
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"StyleVariant": {
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"r": 0.
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"f": 0.
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},
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"Polarity": {
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"p": 1.0,
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"f": 1.0
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},
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"Person": {
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"Foreign": {
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"Hyph": {
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"p": 1.0,
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"f": 0.6666666667
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}
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},
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"dep_las_per_type": {
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"case": {
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"parataxis": {
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"nmod": {
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"amod": {
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"r": 0.9824660633,
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"nsubj": {
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"root": {
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"xcomp": {
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"conj": {
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"cc": {
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"fixed": {
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"mark": {
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"ccomp": {
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"nummod:gov": {
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"p": 0.9705882353,
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"f": 0.9665271967
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"nummod": {
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"appos": {
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"iobj": {
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"acl": {
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"obl:agent": {
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"advcl": {
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"cop": {
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"flat:foreign": {
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"aux:pass": {
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"nsubj:pass": {
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"r": 0.9503649635,
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"acl:relcl": {
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"orphan": {
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"discourse": {
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"csubj": {
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"expl": {
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"compound": {
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"csubj:pass": {
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"nummod:entity": {
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"p": 1.0,
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"f": 0.0
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}
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},
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"ents_per_type": {
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"PER": {
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"r": 0.
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"LOC": {
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},
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"ORG": {
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|
| 303 |
-
"r": 0.
|
| 304 |
-
"f": 0.
|
| 305 |
}
|
| 306 |
-
}
|
|
|
|
| 307 |
}
|
|
|
|
| 1 |
{
|
| 2 |
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|
| 3 |
+
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|
| 4 |
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|
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|
|
|
|
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|
| 11 |
"morph_per_feat": {
|
| 12 |
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|
| 13 |
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|
| 14 |
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| 16 |
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| 85 |
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|
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|
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|
| 167 |
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"flat": {
|
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|
| 199 |
"flat:name": {
|
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|
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|
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|
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"advcl": {
|
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"p": 0.8857808858,
|
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|
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|
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|
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|
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|
| 233 |
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|
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|
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|
| 238 |
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|
| 239 |
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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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|
| 255 |
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"p": 0.9393939394,
|
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|
| 257 |
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|
| 258 |
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|
| 259 |
"csubj": {
|
| 260 |
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|
| 261 |
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|
| 262 |
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|
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|
| 264 |
"expl": {
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| 265 |
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"p": 0.875,
|
| 266 |
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|
| 267 |
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|
| 268 |
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|
| 269 |
"compound": {
|
| 270 |
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"p": 0.6,
|
| 271 |
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"r": 0.3,
|
| 272 |
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"f": 0.4
|
| 273 |
},
|
| 274 |
"csubj:pass": {
|
| 275 |
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|
| 276 |
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|
| 277 |
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|
| 278 |
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|
| 279 |
"nummod:entity": {
|
| 280 |
"p": 1.0,
|
|
|
|
| 287 |
"f": 0.0
|
| 288 |
}
|
| 289 |
},
|
| 290 |
+
"tag_acc": 0.989438969,
|
| 291 |
+
"lemma_acc": 2.15267e-05,
|
| 292 |
+
"ents_p": 0.9447151739,
|
| 293 |
+
"ents_r": 0.9463053358,
|
| 294 |
+
"ents_f": 0.9455095863,
|
| 295 |
"ents_per_type": {
|
| 296 |
"PER": {
|
| 297 |
+
"p": 0.959299039,
|
| 298 |
+
"r": 0.9528354857,
|
| 299 |
+
"f": 0.956056338
|
| 300 |
},
|
| 301 |
"LOC": {
|
| 302 |
+
"p": 0.9707132735,
|
| 303 |
+
"r": 0.9707132735,
|
| 304 |
+
"f": 0.9707132735
|
| 305 |
},
|
| 306 |
"ORG": {
|
| 307 |
+
"p": 0.9055690073,
|
| 308 |
+
"r": 0.915320607,
|
| 309 |
+
"f": 0.9104186952
|
| 310 |
}
|
| 311 |
+
},
|
| 312 |
+
"speed": 3696.7899710592
|
| 313 |
}
|
config.cfg
CHANGED
|
@@ -1,10 +1,8 @@
|
|
| 1 |
[paths]
|
| 2 |
-
train =
|
| 3 |
-
dev =
|
| 4 |
-
vectors =
|
| 5 |
-
raw = null
|
| 6 |
init_tok2vec = null
|
| 7 |
-
vocab_data = null
|
| 8 |
|
| 9 |
[system]
|
| 10 |
gpu_allocator = null
|
|
@@ -24,6 +22,7 @@ tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
|
|
| 24 |
|
| 25 |
[components.attribute_ruler]
|
| 26 |
factory = "attribute_ruler"
|
|
|
|
| 27 |
validate = false
|
| 28 |
|
| 29 |
[components.lemmatizer]
|
|
@@ -31,9 +30,13 @@ factory = "lemmatizer"
|
|
| 31 |
mode = "pymorphy2"
|
| 32 |
model = null
|
| 33 |
overwrite = false
|
|
|
|
| 34 |
|
| 35 |
[components.morphologizer]
|
| 36 |
factory = "morphologizer"
|
|
|
|
|
|
|
|
|
|
| 37 |
|
| 38 |
[components.morphologizer.model]
|
| 39 |
@architectures = "spacy.Tagger.v1"
|
|
@@ -48,6 +51,7 @@ upstream = "tok2vec"
|
|
| 48 |
factory = "ner"
|
| 49 |
incorrect_spans_key = null
|
| 50 |
moves = null
|
|
|
|
| 51 |
update_with_oracle_cut_size = 100
|
| 52 |
|
| 53 |
[components.ner.model]
|
|
@@ -65,8 +69,8 @@ nO = null
|
|
| 65 |
[components.ner.model.tok2vec.embed]
|
| 66 |
@architectures = "spacy.MultiHashEmbed.v2"
|
| 67 |
width = 96
|
| 68 |
-
attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
|
| 69 |
-
rows = [5000,2500,2500,2500]
|
| 70 |
include_static_vectors = true
|
| 71 |
|
| 72 |
[components.ner.model.tok2vec.encode]
|
|
@@ -81,6 +85,7 @@ factory = "parser"
|
|
| 81 |
learn_tokens = false
|
| 82 |
min_action_freq = 30
|
| 83 |
moves = null
|
|
|
|
| 84 |
update_with_oracle_cut_size = 100
|
| 85 |
|
| 86 |
[components.parser.model]
|
|
@@ -99,6 +104,8 @@ upstream = "tok2vec"
|
|
| 99 |
|
| 100 |
[components.senter]
|
| 101 |
factory = "senter"
|
|
|
|
|
|
|
| 102 |
|
| 103 |
[components.senter.model]
|
| 104 |
@architectures = "spacy.Tagger.v1"
|
|
@@ -110,8 +117,8 @@ nO = null
|
|
| 110 |
[components.senter.model.tok2vec.embed]
|
| 111 |
@architectures = "spacy.MultiHashEmbed.v2"
|
| 112 |
width = 16
|
| 113 |
-
attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
|
| 114 |
-
rows = [1000,500,500,500]
|
| 115 |
include_static_vectors = true
|
| 116 |
|
| 117 |
[components.senter.model.tok2vec.encode]
|
|
@@ -130,8 +137,8 @@ factory = "tok2vec"
|
|
| 130 |
[components.tok2vec.model.embed]
|
| 131 |
@architectures = "spacy.MultiHashEmbed.v2"
|
| 132 |
width = ${components.tok2vec.model.encode:width}
|
| 133 |
-
attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
|
| 134 |
-
rows = [5000,2500,2500,2500]
|
| 135 |
include_static_vectors = true
|
| 136 |
|
| 137 |
[components.tok2vec.model.encode]
|
|
@@ -145,22 +152,19 @@ maxout_pieces = 3
|
|
| 145 |
|
| 146 |
[corpora.dev]
|
| 147 |
@readers = "spacy.Corpus.v1"
|
| 148 |
-
|
| 149 |
-
max_length = 0
|
| 150 |
-
path = ${paths:dev}
|
| 151 |
gold_preproc = false
|
|
|
|
|
|
|
| 152 |
augmenter = null
|
| 153 |
|
| 154 |
[corpora.train]
|
| 155 |
@readers = "spacy.Corpus.v1"
|
| 156 |
-
path = ${paths
|
| 157 |
-
max_length = 5000
|
| 158 |
gold_preproc = false
|
|
|
|
| 159 |
limit = 0
|
| 160 |
-
|
| 161 |
-
[corpora.train.augmenter]
|
| 162 |
-
@augmenters = "spacy.lower_case.v1"
|
| 163 |
-
level = 0.1
|
| 164 |
|
| 165 |
[training]
|
| 166 |
train_corpus = "corpora.train"
|
|
@@ -191,9 +195,8 @@ compound = 1.001
|
|
| 191 |
t = 0.0
|
| 192 |
|
| 193 |
[training.logger]
|
| 194 |
-
@loggers = "spacy.
|
| 195 |
-
|
| 196 |
-
remove_config_values = []
|
| 197 |
|
| 198 |
[training.optimizer]
|
| 199 |
@optimizers = "Adam.v1"
|
|
@@ -216,16 +219,17 @@ dep_las_per_type = null
|
|
| 216 |
sents_p = null
|
| 217 |
sents_r = null
|
| 218 |
sents_f = 0.02
|
| 219 |
-
lemma_acc = 0.
|
| 220 |
-
ents_f = 0.
|
| 221 |
ents_p = 0.0
|
| 222 |
ents_r = 0.0
|
| 223 |
ents_per_type = null
|
|
|
|
| 224 |
|
| 225 |
[pretraining]
|
| 226 |
|
| 227 |
[initialize]
|
| 228 |
-
vocab_data =
|
| 229 |
vectors = ${paths.vectors}
|
| 230 |
init_tok2vec = ${paths.init_tok2vec}
|
| 231 |
before_init = null
|
|
|
|
| 1 |
[paths]
|
| 2 |
+
train = null
|
| 3 |
+
dev = null
|
| 4 |
+
vectors = null
|
|
|
|
| 5 |
init_tok2vec = null
|
|
|
|
| 6 |
|
| 7 |
[system]
|
| 8 |
gpu_allocator = null
|
|
|
|
| 22 |
|
| 23 |
[components.attribute_ruler]
|
| 24 |
factory = "attribute_ruler"
|
| 25 |
+
scorer = {"@scorers":"spacy.attribute_ruler_scorer.v1"}
|
| 26 |
validate = false
|
| 27 |
|
| 28 |
[components.lemmatizer]
|
|
|
|
| 30 |
mode = "pymorphy2"
|
| 31 |
model = null
|
| 32 |
overwrite = false
|
| 33 |
+
scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
|
| 34 |
|
| 35 |
[components.morphologizer]
|
| 36 |
factory = "morphologizer"
|
| 37 |
+
extend = false
|
| 38 |
+
overwrite = true
|
| 39 |
+
scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
|
| 40 |
|
| 41 |
[components.morphologizer.model]
|
| 42 |
@architectures = "spacy.Tagger.v1"
|
|
|
|
| 51 |
factory = "ner"
|
| 52 |
incorrect_spans_key = null
|
| 53 |
moves = null
|
| 54 |
+
scorer = {"@scorers":"spacy.ner_scorer.v1"}
|
| 55 |
update_with_oracle_cut_size = 100
|
| 56 |
|
| 57 |
[components.ner.model]
|
|
|
|
| 69 |
[components.ner.model.tok2vec.embed]
|
| 70 |
@architectures = "spacy.MultiHashEmbed.v2"
|
| 71 |
width = 96
|
| 72 |
+
attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
|
| 73 |
+
rows = [5000,2500,2500,2500,100]
|
| 74 |
include_static_vectors = true
|
| 75 |
|
| 76 |
[components.ner.model.tok2vec.encode]
|
|
|
|
| 85 |
learn_tokens = false
|
| 86 |
min_action_freq = 30
|
| 87 |
moves = null
|
| 88 |
+
scorer = {"@scorers":"spacy.parser_scorer.v1"}
|
| 89 |
update_with_oracle_cut_size = 100
|
| 90 |
|
| 91 |
[components.parser.model]
|
|
|
|
| 104 |
|
| 105 |
[components.senter]
|
| 106 |
factory = "senter"
|
| 107 |
+
overwrite = false
|
| 108 |
+
scorer = {"@scorers":"spacy.senter_scorer.v1"}
|
| 109 |
|
| 110 |
[components.senter.model]
|
| 111 |
@architectures = "spacy.Tagger.v1"
|
|
|
|
| 117 |
[components.senter.model.tok2vec.embed]
|
| 118 |
@architectures = "spacy.MultiHashEmbed.v2"
|
| 119 |
width = 16
|
| 120 |
+
attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
|
| 121 |
+
rows = [1000,500,500,500,50]
|
| 122 |
include_static_vectors = true
|
| 123 |
|
| 124 |
[components.senter.model.tok2vec.encode]
|
|
|
|
| 137 |
[components.tok2vec.model.embed]
|
| 138 |
@architectures = "spacy.MultiHashEmbed.v2"
|
| 139 |
width = ${components.tok2vec.model.encode:width}
|
| 140 |
+
attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
|
| 141 |
+
rows = [5000,2500,2500,2500,100]
|
| 142 |
include_static_vectors = true
|
| 143 |
|
| 144 |
[components.tok2vec.model.encode]
|
|
|
|
| 152 |
|
| 153 |
[corpora.dev]
|
| 154 |
@readers = "spacy.Corpus.v1"
|
| 155 |
+
path = ${paths.dev}
|
|
|
|
|
|
|
| 156 |
gold_preproc = false
|
| 157 |
+
max_length = 0
|
| 158 |
+
limit = 0
|
| 159 |
augmenter = null
|
| 160 |
|
| 161 |
[corpora.train]
|
| 162 |
@readers = "spacy.Corpus.v1"
|
| 163 |
+
path = ${paths.train}
|
|
|
|
| 164 |
gold_preproc = false
|
| 165 |
+
max_length = 0
|
| 166 |
limit = 0
|
| 167 |
+
augmenter = null
|
|
|
|
|
|
|
|
|
|
| 168 |
|
| 169 |
[training]
|
| 170 |
train_corpus = "corpora.train"
|
|
|
|
| 195 |
t = 0.0
|
| 196 |
|
| 197 |
[training.logger]
|
| 198 |
+
@loggers = "spacy.ConsoleLogger.v1"
|
| 199 |
+
progress_bar = false
|
|
|
|
| 200 |
|
| 201 |
[training.optimizer]
|
| 202 |
@optimizers = "Adam.v1"
|
|
|
|
| 219 |
sents_p = null
|
| 220 |
sents_r = null
|
| 221 |
sents_f = 0.02
|
| 222 |
+
lemma_acc = 0.5
|
| 223 |
+
ents_f = 0.16
|
| 224 |
ents_p = 0.0
|
| 225 |
ents_r = 0.0
|
| 226 |
ents_per_type = null
|
| 227 |
+
speed = 0.0
|
| 228 |
|
| 229 |
[pretraining]
|
| 230 |
|
| 231 |
[initialize]
|
| 232 |
+
vocab_data = null
|
| 233 |
vectors = ${paths.vectors}
|
| 234 |
init_tok2vec = ${paths.init_tok2vec}
|
| 235 |
before_init = null
|
meta.json
CHANGED
|
@@ -1,14 +1,14 @@
|
|
| 1 |
{
|
| 2 |
"lang":"ru",
|
| 3 |
"name":"core_news_lg",
|
| 4 |
-
"version":"3.
|
| 5 |
"description":"Russian pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.",
|
| 6 |
"author":"Explosion",
|
| 7 |
"email":"[email protected]",
|
| 8 |
"url":"https://explosion.ai",
|
| 9 |
"license":"MIT",
|
| 10 |
-
"spacy_version":">=3.
|
| 11 |
-
"spacy_git_version":"
|
| 12 |
"vectors":{
|
| 13 |
"width":300,
|
| 14 |
"vectors":500002,
|
|
@@ -957,74 +957,69 @@
|
|
| 957 |
],
|
| 958 |
"performance":{
|
| 959 |
"token_acc":0.9984532137,
|
| 960 |
-
"
|
| 961 |
-
"
|
| 962 |
-
"
|
| 963 |
-
"
|
| 964 |
-
"
|
| 965 |
-
"
|
| 966 |
-
"
|
| 967 |
-
"
|
| 968 |
-
"ents_f":0.9472096531,
|
| 969 |
-
"sents_p":0.9988584475,
|
| 970 |
-
"sents_r":0.9988584475,
|
| 971 |
-
"sents_f":0.9988584475,
|
| 972 |
-
"speed":3736.668839502,
|
| 973 |
"morph_per_feat":{
|
| 974 |
"Animacy":{
|
| 975 |
-
"p":0.
|
| 976 |
-
"r":0.
|
| 977 |
-
"f":0.
|
| 978 |
},
|
| 979 |
"Case":{
|
| 980 |
-
"p":0.
|
| 981 |
-
"r":0.
|
| 982 |
-
"f":0.
|
| 983 |
},
|
| 984 |
"Gender":{
|
| 985 |
-
"p":0.
|
| 986 |
-
"r":0.
|
| 987 |
-
"f":0.
|
| 988 |
},
|
| 989 |
"Number":{
|
| 990 |
-
"p":0.
|
| 991 |
-
"r":0.
|
| 992 |
-
"f":0.
|
| 993 |
},
|
| 994 |
"Degree":{
|
| 995 |
-
"p":0.
|
| 996 |
-
"r":0.
|
| 997 |
-
"f":0.
|
| 998 |
},
|
| 999 |
"Aspect":{
|
| 1000 |
-
"p":0.
|
| 1001 |
-
"r":0.
|
| 1002 |
-
"f":0.
|
| 1003 |
},
|
| 1004 |
"Mood":{
|
| 1005 |
-
"p":0.
|
| 1006 |
-
"r":0.
|
| 1007 |
-
"f":0.
|
| 1008 |
},
|
| 1009 |
"Tense":{
|
| 1010 |
-
"p":0.
|
| 1011 |
-
"r":0.
|
| 1012 |
-
"f":0.
|
| 1013 |
},
|
| 1014 |
"VerbForm":{
|
| 1015 |
-
"p":0.
|
| 1016 |
-
"r":0.
|
| 1017 |
-
"f":0.
|
| 1018 |
},
|
| 1019 |
"Voice":{
|
| 1020 |
-
"p":0.
|
| 1021 |
-
"r":0.
|
| 1022 |
-
"f":0.
|
| 1023 |
},
|
| 1024 |
"StyleVariant":{
|
| 1025 |
-
"p":0.
|
| 1026 |
-
"r":0.
|
| 1027 |
-
"f":0.
|
| 1028 |
},
|
| 1029 |
"Polarity":{
|
| 1030 |
"p":1.0,
|
|
@@ -1032,14 +1027,14 @@
|
|
| 1032 |
"f":1.0
|
| 1033 |
},
|
| 1034 |
"Person":{
|
| 1035 |
-
"p":0.
|
| 1036 |
-
"r":0.
|
| 1037 |
-
"f":0.
|
| 1038 |
},
|
| 1039 |
"Foreign":{
|
| 1040 |
-
"p":0.
|
| 1041 |
-
"r":0.
|
| 1042 |
-
"f":0.
|
| 1043 |
},
|
| 1044 |
"Hyph":{
|
| 1045 |
"p":1.0,
|
|
@@ -1047,76 +1042,81 @@
|
|
| 1047 |
"f":0.6666666667
|
| 1048 |
}
|
| 1049 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1050 |
"dep_las_per_type":{
|
| 1051 |
"case":{
|
| 1052 |
-
"p":0.
|
| 1053 |
-
"r":0.
|
| 1054 |
-
"f":0.
|
| 1055 |
},
|
| 1056 |
"parataxis":{
|
| 1057 |
-
"p":0.
|
| 1058 |
-
"r":0.
|
| 1059 |
-
"f":0.
|
| 1060 |
},
|
| 1061 |
"nmod":{
|
| 1062 |
-
"p":0.
|
| 1063 |
-
"r":0.
|
| 1064 |
-
"f":0.
|
| 1065 |
},
|
| 1066 |
"advmod":{
|
| 1067 |
-
"p":0.
|
| 1068 |
-
"r":0.
|
| 1069 |
-
"f":0.
|
| 1070 |
},
|
| 1071 |
"obl":{
|
| 1072 |
-
"p":0.
|
| 1073 |
-
"r":0.
|
| 1074 |
-
"f":0.
|
| 1075 |
},
|
| 1076 |
"amod":{
|
| 1077 |
-
"p":0.
|
| 1078 |
"r":0.9824660633,
|
| 1079 |
-
"f":0.
|
| 1080 |
},
|
| 1081 |
"nsubj":{
|
| 1082 |
-
"p":0.
|
| 1083 |
-
"r":0.
|
| 1084 |
-
"f":0.
|
| 1085 |
},
|
| 1086 |
"root":{
|
| 1087 |
-
"p":0.
|
| 1088 |
-
"r":0.
|
| 1089 |
-
"f":0.
|
| 1090 |
},
|
| 1091 |
"xcomp":{
|
| 1092 |
-
"p":0.
|
| 1093 |
-
"r":0.
|
| 1094 |
-
"f":0.
|
| 1095 |
},
|
| 1096 |
"conj":{
|
| 1097 |
-
"p":0.
|
| 1098 |
-
"r":0.
|
| 1099 |
-
"f":0.
|
| 1100 |
},
|
| 1101 |
"cc":{
|
| 1102 |
-
"p":0.
|
| 1103 |
-
"r":0.
|
| 1104 |
-
"f":0.
|
| 1105 |
},
|
| 1106 |
"fixed":{
|
| 1107 |
-
"p":0.
|
| 1108 |
-
"r":0.
|
| 1109 |
-
"f":0.
|
| 1110 |
},
|
| 1111 |
"mark":{
|
| 1112 |
-
"p":0.
|
| 1113 |
-
"r":0.
|
| 1114 |
-
"f":0.
|
| 1115 |
},
|
| 1116 |
"ccomp":{
|
| 1117 |
-
"p":0.
|
| 1118 |
-
"r":0.
|
| 1119 |
-
"f":0.
|
| 1120 |
},
|
| 1121 |
"nummod:gov":{
|
| 1122 |
"p":0.9705882353,
|
|
@@ -1124,114 +1124,114 @@
|
|
| 1124 |
"f":0.9665271967
|
| 1125 |
},
|
| 1126 |
"nummod":{
|
| 1127 |
-
"p":0.
|
| 1128 |
-
"r":0.
|
| 1129 |
-
"f":0.
|
| 1130 |
},
|
| 1131 |
"obj":{
|
| 1132 |
-
"p":0.
|
| 1133 |
-
"r":0.
|
| 1134 |
-
"f":0.
|
| 1135 |
},
|
| 1136 |
"det":{
|
| 1137 |
-
"p":0.
|
| 1138 |
-
"r":0.
|
| 1139 |
-
"f":0.
|
| 1140 |
},
|
| 1141 |
"appos":{
|
| 1142 |
-
"p":0.
|
| 1143 |
-
"r":0.
|
| 1144 |
-
"f":0.
|
| 1145 |
},
|
| 1146 |
"aux":{
|
| 1147 |
-
"p":0.
|
| 1148 |
-
"r":0.
|
| 1149 |
-
"f":0.
|
| 1150 |
},
|
| 1151 |
"flat":{
|
| 1152 |
-
"p":0.
|
| 1153 |
-
"r":0.
|
| 1154 |
-
"f":0.
|
| 1155 |
},
|
| 1156 |
"flat:name":{
|
| 1157 |
-
"p":0.
|
| 1158 |
-
"r":0.
|
| 1159 |
-
"f":0.
|
| 1160 |
},
|
| 1161 |
"iobj":{
|
| 1162 |
-
"p":0.
|
| 1163 |
-
"r":0.
|
| 1164 |
-
"f":0.
|
| 1165 |
},
|
| 1166 |
"acl":{
|
| 1167 |
-
"p":0.
|
| 1168 |
-
"r":0.
|
| 1169 |
-
"f":0.
|
| 1170 |
},
|
| 1171 |
"obl:agent":{
|
| 1172 |
-
"p":0.
|
| 1173 |
-
"r":0.
|
| 1174 |
-
"f":0.
|
| 1175 |
},
|
| 1176 |
"advcl":{
|
| 1177 |
-
"p":0.
|
| 1178 |
-
"r":0.
|
| 1179 |
-
"f":0.
|
| 1180 |
},
|
| 1181 |
"cop":{
|
| 1182 |
-
"p":0.
|
| 1183 |
-
"r":0.
|
| 1184 |
-
"f":0.
|
| 1185 |
},
|
| 1186 |
"flat:foreign":{
|
| 1187 |
-
"p":0.
|
| 1188 |
-
"r":0.
|
| 1189 |
-
"f":0.
|
| 1190 |
},
|
| 1191 |
"aux:pass":{
|
| 1192 |
-
"p":0.
|
| 1193 |
-
"r":0.
|
| 1194 |
-
"f":0.
|
| 1195 |
},
|
| 1196 |
"nsubj:pass":{
|
| 1197 |
-
"p":0.
|
| 1198 |
"r":0.9503649635,
|
| 1199 |
-
"f":0.
|
| 1200 |
},
|
| 1201 |
"acl:relcl":{
|
| 1202 |
-
"p":0.
|
| 1203 |
-
"r":0.
|
| 1204 |
-
"f":0.
|
| 1205 |
},
|
| 1206 |
"orphan":{
|
| 1207 |
-
"p":0.
|
| 1208 |
-
"r":0.
|
| 1209 |
-
"f":0.
|
| 1210 |
},
|
| 1211 |
"discourse":{
|
| 1212 |
-
"p":0.
|
| 1213 |
-
"r":0.
|
| 1214 |
-
"f":0.
|
| 1215 |
},
|
| 1216 |
"csubj":{
|
| 1217 |
-
"p":0.
|
| 1218 |
-
"r":0.
|
| 1219 |
-
"f":0.
|
| 1220 |
},
|
| 1221 |
"expl":{
|
| 1222 |
-
"p":0.
|
| 1223 |
-
"r":0.
|
| 1224 |
-
"f":0.
|
| 1225 |
},
|
| 1226 |
"compound":{
|
| 1227 |
-
"p":0.
|
| 1228 |
-
"r":0.
|
| 1229 |
-
"f":0.
|
| 1230 |
},
|
| 1231 |
"csubj:pass":{
|
| 1232 |
-
"p":0.
|
| 1233 |
-
"r":0.
|
| 1234 |
-
"f":0.
|
| 1235 |
},
|
| 1236 |
"nummod:entity":{
|
| 1237 |
"p":1.0,
|
|
@@ -1244,23 +1244,29 @@
|
|
| 1244 |
"f":0.0
|
| 1245 |
}
|
| 1246 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1247 |
"ents_per_type":{
|
| 1248 |
"PER":{
|
| 1249 |
-
"p":0.
|
| 1250 |
-
"r":0.
|
| 1251 |
-
"f":0.
|
| 1252 |
},
|
| 1253 |
"LOC":{
|
| 1254 |
-
"p":0.
|
| 1255 |
-
"r":0.
|
| 1256 |
-
"f":0.
|
| 1257 |
},
|
| 1258 |
"ORG":{
|
| 1259 |
-
"p":0.
|
| 1260 |
-
"r":0.
|
| 1261 |
-
"f":0.
|
| 1262 |
}
|
| 1263 |
-
}
|
|
|
|
| 1264 |
},
|
| 1265 |
"sources":[
|
| 1266 |
{
|
|
|
|
| 1 |
{
|
| 2 |
"lang":"ru",
|
| 3 |
"name":"core_news_lg",
|
| 4 |
+
"version":"3.2.0",
|
| 5 |
"description":"Russian pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.",
|
| 6 |
"author":"Explosion",
|
| 7 |
"email":"[email protected]",
|
| 8 |
"url":"https://explosion.ai",
|
| 9 |
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morphologizer/cfg
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@@ -1,4 +1,5 @@
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{
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morphologizer/model
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CHANGED
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oid sha256:bae4a41b8dc887f50fee4973e5edb5d391949a38b0a73b897416e9d1812337b6
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size 6960804
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tokenizer
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@@ -1,3 +1,3 @@
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|
vocab/strings.json
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:c32da391b5a797e7fb3da9addd5ae6aa3f2b2348378416fe6ddfdf96577e6c5c
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| 3 |
+
size 48943143
|
vocab/vectors.cfg
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"mode":"default"
|
| 3 |
+
}
|