Update spaCy pipeline
Browse files- README.md +22 -22
- accuracy.json +114 -114
- attribute_ruler/patterns +0 -0
- config.cfg +2 -0
- grc_perseus_lg-any-py3-none-any.whl +2 -2
- lemmatizer/model +1 -1
- meta.json +118 -118
- morphologizer/cfg +1 -0
- morphologizer/model +0 -0
- parser/model +1 -1
- tagger/cfg +1 -0
- tagger/model +0 -0
- tok2vec/model +1 -1
- vocab/strings.json +2 -2
- vocab/vectors.cfg +2 -1
README.md
CHANGED
@@ -13,55 +13,55 @@ 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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| Feature | Description |
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| --- | --- |
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| **Name** | `grc_perseus_lg` |
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-
| **Version** | `3.
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| **spaCy** | `>=3.
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| **Default Pipeline** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler` |
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| **Components** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler` |
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| **Vectors** | -1 keys, 200000 unique vectors (300 dimensions) |
|
@@ -87,16 +87,16 @@ model-index:
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| Type | Score |
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| --- | --- |
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| `POS_ACC` | 93.
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| `MORPH_ACC` | 89.
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| `TAG_ACC` | 94.
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-
| `DEP_UAS` | 74.
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-
| `DEP_LAS` | 67.
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| `SENTS_P` |
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| `SENTS_R` | 99.
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-
| `SENTS_F` |
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| `LEMMA_ACC` | 97.
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-
| `TOK2VEC_LOSS` |
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| `MORPHOLOGIZER_LOSS` |
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-
| `TAGGER_LOSS` |
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-
| `PARSER_LOSS` |
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metrics:
|
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- name: TAG (XPOS) Accuracy
|
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type: accuracy
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16 |
+
value: 0.9418381406
|
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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: 0.9388354339
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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: 0.8961217898
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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: 0.9773461321
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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: 0.7462060955
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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: 0.6756388244
|
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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: 0.9890302764
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---
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| Feature | Description |
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| --- | --- |
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| **Name** | `grc_perseus_lg` |
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+
| **Version** | `3.6.0` |
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+
| **spaCy** | `>=3.6.0,<3.7.0` |
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| **Default Pipeline** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler` |
|
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| **Components** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler` |
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| **Vectors** | -1 keys, 200000 unique vectors (300 dimensions) |
|
|
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| Type | Score |
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| --- | --- |
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+
| `POS_ACC` | 93.88 |
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+
| `MORPH_ACC` | 89.61 |
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+
| `TAG_ACC` | 94.18 |
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+
| `DEP_UAS` | 74.62 |
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+
| `DEP_LAS` | 67.56 |
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+
| `SENTS_P` | 98.69 |
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+
| `SENTS_R` | 99.12 |
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+
| `SENTS_F` | 98.90 |
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+
| `LEMMA_ACC` | 97.73 |
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+
| `TOK2VEC_LOSS` | 6876120.10 |
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+
| `MORPHOLOGIZER_LOSS` | 114024.69 |
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+
| `TAGGER_LOSS` | 41222.97 |
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+
| `PARSER_LOSS` | 1563937.90 |
|
accuracy.json
CHANGED
@@ -3,196 +3,196 @@
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