Commit
•
be92e91
1
Parent(s):
eca5c8a
Update spaCy pipeline
Browse files- LICENSES_SOURCES +3 -3
- README.md +29 -29
- accuracy.json +164 -164
- config.cfg +2 -1
- da_core_news_trf-any-py3-none-any.whl +2 -2
- lemmatizer/model +1 -1
- meta.json +172 -172
- morphologizer/cfg +1 -0
- morphologizer/model +1 -1
- ner/model +1 -1
- parser/model +1 -1
- transformer/model +2 -2
- vocab/strings.json +2 -2
LICENSES_SOURCES
CHANGED
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@@ -878,10 +878,10 @@ Creative Commons may be contacted at creativecommons.org.
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#
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* Author:
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* URL: https://huggingface.co/
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* License: CC BY 4.0
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```
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# vesteinn/DanskBERT
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* Author: Snæbjarnarson, Vésteinn and Simonsen, Annika and Glavaš, Goran and Vulić, Ivan
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* URL: https://huggingface.co/vesteinn/DanskBERT
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* License: CC BY 4.0
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```
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README.md
CHANGED
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@@ -14,76 +14,76 @@ 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: TAG
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type: token-classification
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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/da#da_core_news_trf
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-
Danish transformer pipeline (
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| Feature | Description |
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| --- | --- |
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| **Name** | `da_core_news_trf` |
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-
| **Version** | `3.
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-
| **spaCy** | `>=3.
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| **Default Pipeline** | `transformer`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
|
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| **Components** | `transformer`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
|
| 85 |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
|
| 86 |
-
| **Sources** | [UD Danish DDT v2.8](https://github.com/UniversalDependencies/UD_Danish-DDT) (Johannsen, Anders; Martínez Alonso, Héctor; Plank, Barbara)<br />[DaNE](https://github.com/alexandrainst/danlp/blob/master/docs/datasets.md#danish-dependency-treebank-dane) (Rasmus Hvingelby, Amalie B. Pauli, Maria Barrett, Christina Rosted, Lasse M. Lidegaard, Anders Søgaard)<br />[
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| **License** | `CC BY-SA 4.0` |
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| **Author** | [Explosion](https://explosion.ai) |
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@@ -109,18 +109,18 @@ Danish transformer pipeline (Maltehb/danish-bert-botxo). Components: transformer
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| `TOKEN_P` | 99.78 |
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| `TOKEN_R` | 99.75 |
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| `TOKEN_F` | 99.76 |
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-
| `POS_ACC` |
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-
| `MORPH_ACC` |
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-
| `MORPH_MICRO_P` |
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-
| `MORPH_MICRO_R` |
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-
| `MORPH_MICRO_F` | 98.
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-
| `SENTS_P` |
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-
| `SENTS_R` |
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-
| `SENTS_F` |
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-
| `DEP_UAS` |
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-
| `DEP_LAS` |
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-
| `LEMMA_ACC` |
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| 123 |
-
| `TAG_ACC` |
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| 124 |
-
| `ENTS_P` |
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| 125 |
-
| `ENTS_R` |
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| 126 |
-
| `ENTS_F` |
|
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|
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metrics:
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- name: NER Precision
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type: precision
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+
value: 0.8585657371
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| 18 |
- name: NER Recall
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type: recall
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+
value: 0.8979166667
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- name: NER F Score
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type: f_score
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| 23 |
+
value: 0.8778004073
|
| 24 |
- task:
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name: TAG
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type: token-classification
|
| 27 |
metrics:
|
| 28 |
- name: TAG (XPOS) Accuracy
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| 29 |
type: accuracy
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| 30 |
+
value: 0.9831444348
|
| 31 |
- task:
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name: POS
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type: token-classification
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| 34 |
metrics:
|
| 35 |
- name: POS (UPOS) Accuracy
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type: accuracy
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| 37 |
+
value: 0.9831444348
|
| 38 |
- task:
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name: MORPH
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type: token-classification
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| 41 |
metrics:
|
| 42 |
- name: Morph (UFeats) Accuracy
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| 43 |
type: accuracy
|
| 44 |
+
value: 0.9809164003
|
| 45 |
- task:
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name: LEMMA
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type: token-classification
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metrics:
|
| 49 |
- name: Lemma Accuracy
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| 50 |
type: accuracy
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| 51 |
+
value: 0.9515738499
|
| 52 |
- task:
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name: UNLABELED_DEPENDENCIES
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type: token-classification
|
| 55 |
metrics:
|
| 56 |
- name: Unlabeled Attachment Score (UAS)
|
| 57 |
type: f_score
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| 58 |
+
value: 0.8842458101
|
| 59 |
- task:
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name: LABELED_DEPENDENCIES
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type: token-classification
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metrics:
|
| 63 |
- name: Labeled Attachment Score (LAS)
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| 64 |
type: f_score
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| 65 |
+
value: 0.8566640599
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| 66 |
- 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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| 72 |
+
value: 0.9494232476
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| 73 |
---
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### Details: https://spacy.io/models/da#da_core_news_trf
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+
Danish transformer pipeline (vesteinn/DanskBERT). Components: transformer, morphologizer, parser, lemmatizer (trainable_lemmatizer), ner, attribute_ruler.
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| Feature | Description |
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| --- | --- |
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| **Name** | `da_core_news_trf` |
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+
| **Version** | `3.6.1` |
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+
| **spaCy** | `>=3.6.0,<3.7.0` |
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| **Default Pipeline** | `transformer`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
|
| 84 |
| **Components** | `transformer`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
|
| 85 |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
|
| 86 |
+
| **Sources** | [UD Danish DDT v2.8](https://github.com/UniversalDependencies/UD_Danish-DDT) (Johannsen, Anders; Martínez Alonso, Héctor; Plank, Barbara)<br />[DaNE](https://github.com/alexandrainst/danlp/blob/master/docs/datasets.md#danish-dependency-treebank-dane) (Rasmus Hvingelby, Amalie B. Pauli, Maria Barrett, Christina Rosted, Lasse M. Lidegaard, Anders Søgaard)<br />[vesteinn/DanskBERT](https://huggingface.co/vesteinn/DanskBERT) (Snæbjarnarson, Vésteinn and Simonsen, Annika and Glavaš, Goran and Vulić, Ivan) |
|
| 87 |
| **License** | `CC BY-SA 4.0` |
|
| 88 |
| **Author** | [Explosion](https://explosion.ai) |
|
| 89 |
|
|
|
|
| 109 |
| `TOKEN_P` | 99.78 |
|
| 110 |
| `TOKEN_R` | 99.75 |
|
| 111 |
| `TOKEN_F` | 99.76 |
|
| 112 |
+
| `POS_ACC` | 98.31 |
|
| 113 |
+
| `MORPH_ACC` | 98.09 |
|
| 114 |
+
| `MORPH_MICRO_P` | 99.07 |
|
| 115 |
+
| `MORPH_MICRO_R` | 98.72 |
|
| 116 |
+
| `MORPH_MICRO_F` | 98.90 |
|
| 117 |
+
| `SENTS_P` | 95.03 |
|
| 118 |
+
| `SENTS_R` | 94.86 |
|
| 119 |
+
| `SENTS_F` | 94.94 |
|
| 120 |
+
| `DEP_UAS` | 88.42 |
|
| 121 |
+
| `DEP_LAS` | 85.67 |
|
| 122 |
+
| `LEMMA_ACC` | 95.16 |
|
| 123 |
+
| `TAG_ACC` | 98.31 |
|
| 124 |
+
| `ENTS_P` | 85.86 |
|
| 125 |
+
| `ENTS_R` | 89.79 |
|
| 126 |
+
| `ENTS_F` | 87.78 |
|
accuracy.json
CHANGED
|
@@ -3,81 +3,81 @@
|
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| 3 |
"token_p": 0.9977732598,
|
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"token_r": 0.9974835463,
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"token_f": 0.997628382,
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-
"pos_acc": 0.
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-
"morph_acc": 0.
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| 8 |
-
"morph_micro_p": 0.
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| 9 |
-
"morph_micro_r": 0.
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| 10 |
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"morph_micro_f": 0.
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"morph_per_feat": {
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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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},
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"VerbForm": {
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"Voice": {
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},
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"Definite": {
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},
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"Gender": {
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},
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"Number": {
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"AdpType": {
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"PartType": {
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"p": 1.0,
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"Case": {
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"f": 0.
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"Person": {
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"PronType": {
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"NumType": {
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"Degree": {
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"Reflex": {
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"p": 1.0,
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@@ -85,14 +85,14 @@
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"f": 1.0
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},
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"Number[psor]": {
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"r": 0.988372093,
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"Poss": {
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"Foreign": {
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"p": 0.8571428571,
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@@ -110,146 +110,146 @@
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"f": 1.0
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"Polite": {
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"dep_las_per_type": {
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"ccomp": {
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| 238 |
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|
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|
| 240 |
-
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|
| 241 |
-
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|
| 242 |
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"f": 0.
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| 243 |
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|
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| 245 |
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| 253 |
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|
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|
| 255 |
"p": 0.0,
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|
@@ -257,24 +257,24 @@
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|
| 257 |
"f": 0.0
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| 258 |
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"fixed": {
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"p": 0.
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|
| 262 |
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| 279 |
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|
| 280 |
"p": 0.0,
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|
@@ -287,32 +287,32 @@
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|
| 287 |
"f": 0.0
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| 288 |
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|
| 289 |
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| 290 |
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| 295 |
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"f": 0.
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| 305 |
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| 306 |
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| 315 |
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| 316 |
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| 317 |
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"speed":
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| 318 |
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| 3 |
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|
| 85 |
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config.cfg
CHANGED
|
@@ -47,6 +47,7 @@ pooling = {"@layers":"reduce_mean.v1"}
|
|
| 47 |
[components.morphologizer]
|
| 48 |
factory = "morphologizer"
|
| 49 |
extend = false
|
|
|
|
| 50 |
overwrite = true
|
| 51 |
scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
|
| 52 |
|
|
@@ -112,8 +113,8 @@ max_batch_items = 4096
|
|
| 112 |
set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
|
| 113 |
|
| 114 |
[components.transformer.model]
|
|
|
|
| 115 |
@architectures = "spacy-transformers.TransformerModel.v3"
|
| 116 |
-
name = "Maltehb/danish-bert-botxo"
|
| 117 |
mixed_precision = false
|
| 118 |
|
| 119 |
[components.transformer.model.get_spans]
|
|
|
|
| 47 |
[components.morphologizer]
|
| 48 |
factory = "morphologizer"
|
| 49 |
extend = false
|
| 50 |
+
label_smoothing = 0.0
|
| 51 |
overwrite = true
|
| 52 |
scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
|
| 53 |
|
|
|
|
| 113 |
set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
|
| 114 |
|
| 115 |
[components.transformer.model]
|
| 116 |
+
name = "vesteinn/DanskBERT"
|
| 117 |
@architectures = "spacy-transformers.TransformerModel.v3"
|
|
|
|
| 118 |
mixed_precision = false
|
| 119 |
|
| 120 |
[components.transformer.model.get_spans]
|
da_core_news_trf-any-py3-none-any.whl
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:
|
| 3 |
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size
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|
| 1 |
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oid sha256:46cbd7cbcfa6a575e98ffd709ff7479612d2881978bc276576553dc47fd2fe72
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size 444187820
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lemmatizer/model
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:
|
| 3 |
size 1391005
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|
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|
| 1 |
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oid sha256:15284a67182922c447cf06f6058ce3fcaedc76b663173da4c7e726727647cea0
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| 3 |
size 1391005
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meta.json
CHANGED
|
@@ -1,14 +1,14 @@
|
|
| 1 |
{
|
| 2 |
"lang":"da",
|
| 3 |
"name":"core_news_trf",
|
| 4 |
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"version":"3.
|
| 5 |
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"description":"Danish transformer pipeline (
|
| 6 |
"author":"Explosion",
|
| 7 |
"email":"contact@explosion.ai",
|
| 8 |
"url":"https://explosion.ai",
|
| 9 |
"license":"CC BY-SA 4.0",
|
| 10 |
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@@ -328,14 +328,14 @@
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@@ -500,24 +500,24 @@
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@@ -530,34 +530,34 @@
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| 563 |
{
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|
@@ -573,13 +573,13 @@
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|
| 573 |
"author":"Rasmus Hvingelby, Amalie B. Pauli, Maria Barrett, Christina Rosted, Lasse M. Lidegaard, Anders S\u00f8gaard"
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| 574 |
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| 577 |
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| 578 |
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| 579 |
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| 580 |
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| 581 |
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| 582 |
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| 583 |
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| 584 |
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| 585 |
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|
|
| 1 |
{
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| 2 |
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| 3 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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morphologizer/cfg
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{
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morphologizer/model
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