Update spaCy pipeline
Browse files- README.md +23 -23
- config.cfg +1 -0
- grc_proiel_trf-any-py3-none-any.whl +2 -2
- lemmatizer/model +1 -1
- meta.json +142 -142
- morphologizer/model +1 -1
- parser/model +1 -1
- senter/model +0 -0
- tagger/model +0 -0
- tokenizer +2 -2
- transformer/model +2 -2
- vocab/strings.json +2 -2
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_proiel_trf` |
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-
| **Version** | `3.
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-
| **spaCy** | `>=3.
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| **Default Pipeline** | `transformer`, `morphologizer`, `tagger`, `parser`, `senter`, `lemmatizer`, `attribute_ruler` |
|
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| **Components** | `transformer`, `morphologizer`, `tagger`, `parser`, `senter`, `lemmatizer`, `attribute_ruler` |
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| **Vectors** | -1 keys, 200000 unique vectors (300 dimensions) |
|
@@ -87,17 +87,17 @@ model-index:
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| Type | Score |
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| --- | --- |
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| `POS_ACC` | 98.
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| `MORPH_ACC` | 94.
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| `TAG_ACC` | 98.
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| `DEP_UAS` | 85.
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-
| `DEP_LAS` | 82.
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-
| `SENTS_P` |
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96 |
-
| `SENTS_R` |
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97 |
-
| `SENTS_F` |
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| `LEMMA_ACC` | 96.
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-
| `TRANSFORMER_LOSS` |
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-
| `MORPHOLOGIZER_LOSS` |
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-
| `TAGGER_LOSS` |
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-
| `PARSER_LOSS` |
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-
| `SENTER_LOSS` |
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metrics:
|
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- name: TAG (XPOS) Accuracy
|
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type: accuracy
|
16 |
+
value: 0.9847641371
|
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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
|
23 |
+
value: 0.9838118957
|
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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: 0.9423527688
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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: 0.967111046
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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: 0.8557720481
|
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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: 0.8225168473
|
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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: 0.6974749881
|
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---
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| Feature | Description |
|
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| --- | --- |
|
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| **Name** | `grc_proiel_trf` |
|
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+
| **Version** | `3.7` |
|
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+
| **spaCy** | `>=3.7.4,<3.8.0` |
|
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| **Default Pipeline** | `transformer`, `morphologizer`, `tagger`, `parser`, `senter`, `lemmatizer`, `attribute_ruler` |
|
66 |
| **Components** | `transformer`, `morphologizer`, `tagger`, `parser`, `senter`, `lemmatizer`, `attribute_ruler` |
|
67 |
| **Vectors** | -1 keys, 200000 unique vectors (300 dimensions) |
|
|
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|
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| Type | Score |
|
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| --- | --- |
|
90 |
+
| `POS_ACC` | 98.38 |
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91 |
+
| `MORPH_ACC` | 94.24 |
|
92 |
+
| `TAG_ACC` | 98.48 |
|
93 |
+
| `DEP_UAS` | 85.58 |
|
94 |
+
| `DEP_LAS` | 82.25 |
|
95 |
+
| `SENTS_P` | 67.78 |
|
96 |
+
| `SENTS_R` | 71.84 |
|
97 |
+
| `SENTS_F` | 69.75 |
|
98 |
+
| `LEMMA_ACC` | 96.71 |
|
99 |
+
| `TRANSFORMER_LOSS` | 1628361.98 |
|
100 |
+
| `MORPHOLOGIZER_LOSS` | 31947.26 |
|
101 |
+
| `TAGGER_LOSS` | 5388.96 |
|
102 |
+
| `PARSER_LOSS` | 2487367.28 |
|
103 |
+
| `SENTER_LOSS` | 2597027.17 |
|
config.cfg
CHANGED
@@ -17,6 +17,7 @@ before_creation = null
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after_creation = null
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after_pipeline_creation = null
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tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
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[components]
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after_creation = null
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after_pipeline_creation = null
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tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
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+
vectors = {"@vectors":"spacy.Vectors.v1"}
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[components]
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grc_proiel_trf-any-py3-none-any.whl
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lemmatizer/model
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meta.json
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