adrianeboyd
commited on
Commit
•
291ab00
1
Parent(s):
d8881d4
Update spaCy pipeline
Browse files- README.md +2 -2
- accuracy.json +1 -1
- config.cfg +1 -0
- de_core_news_md-any-py3-none-any.whl +2 -2
- meta.json +4 -4
README.md
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@@ -78,8 +78,8 @@ German pipeline optimized for CPU. Components: tok2vec, tagger, morphologizer, p
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| Feature | Description |
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| --- | --- |
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| **Name** | `de_core_news_md` |
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| **Version** | `3.
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| **spaCy** | `>=3.
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| **Default Pipeline** | `tok2vec`, `tagger`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
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| **Components** | `tok2vec`, `tagger`, `morphologizer`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
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| **Vectors** | 500000 keys, 20000 unique vectors (300 dimensions) |
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| Feature | Description |
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| --- | --- |
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| **Name** | `de_core_news_md` |
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| **Version** | `3.7.0` |
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| **spaCy** | `>=3.7.0,<3.8.0` |
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| **Default Pipeline** | `tok2vec`, `tagger`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
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| **Components** | `tok2vec`, `tagger`, `morphologizer`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
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| **Vectors** | 500000 keys, 20000 unique vectors (300 dimensions) |
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accuracy.json
CHANGED
@@ -289,7 +289,7 @@
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}
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},
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"lemma_acc": 0.9769605349,
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"speed":
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"ents_p": 0.8439391945,
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"ents_r": 0.8342856523,
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"ents_f": 0.8390846587,
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}
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},
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"lemma_acc": 0.9769605349,
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"speed": 9526.4644603035,
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"ents_p": 0.8439391945,
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"ents_r": 0.8342856523,
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"ents_f": 0.8390846587,
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config.cfg
CHANGED
@@ -17,6 +17,7 @@ after_creation = null
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after_pipeline_creation = null
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batch_size = 256
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tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
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[components]
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after_pipeline_creation = null
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batch_size = 256
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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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de_core_news_md-any-py3-none-any.whl
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:1426896f135b7e6314637faa9025a3e580c9ba2785372ccffe723dc20b41c493
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size 44395074
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meta.json
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@@ -1,14 +1,14 @@
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{
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"lang":"de",
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"name":"core_news_md",
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"version":"3.
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"description":"German pipeline optimized for CPU. Components: tok2vec, tagger, morphologizer, parser, lemmatizer (trainable_lemmatizer), senter, ner.",
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"author":"Explosion",
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"email":"contact@explosion.ai",
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"url":"https://explosion.ai",
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"license":"MIT",
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"spacy_version":">=3.
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"spacy_git_version":"
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"vectors":{
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"width":300,
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"vectors":20000,
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}
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},
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"lemma_acc":0.9769605349,
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-
"speed":
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"ents_p":0.8439391945,
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"ents_r":0.8342856523,
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"ents_f":0.8390846587,
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{
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"lang":"de",
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"name":"core_news_md",
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"version":"3.7.0",
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"description":"German pipeline optimized for CPU. Components: tok2vec, tagger, morphologizer, parser, lemmatizer (trainable_lemmatizer), senter, ner.",
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"author":"Explosion",
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"email":"contact@explosion.ai",
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"url":"https://explosion.ai",
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"license":"MIT",
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"spacy_version":">=3.7.0,<3.8.0",
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"spacy_git_version":"6b4f77441",
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"vectors":{
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"width":300,
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"vectors":20000,
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}
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},
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"lemma_acc":0.9769605349,
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"speed":9526.4644603035,
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"ents_p":0.8439391945,
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"ents_r":0.8342856523,
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"ents_f":0.8390846587,
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