EC2 Default User
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Commit
•
aaf8333
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Parent(s):
94c0702
Update spaCy pipeline
Browse files- LICENSES_SOURCES +1 -1
- README.md +15 -26
- accuracy.json +8 -5
- attribute_ruler/patterns +0 -0
- config.cfg +32 -24
- meta.json +18 -14
- senter/cfg +1 -1
- senter/model +0 -0
- tokenizer +2 -2
- vocab/strings.json +2 -2
- vocab/vectors.cfg +3 -0
- xx_sent_ud_sm-any-py3-none-any.whl +2 -2
LICENSES_SOURCES
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@@ -1,4 +1,4 @@
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# Universal Dependencies v2.
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* Author: Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell; et al.
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* URL: https://universaldependencies.org/
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# Universal Dependencies v2.8 (UD_Afrikaans-AfriBooms, UD_Croatian-SET, UD_Czech-CAC, UD_Czech-CLTT, UD_Danish-DDT, UD_Dutch-Alpino, UD_Dutch-LassySmall, UD_English-EWT, UD_Finnish-FTB, UD_Finnish-TDT, UD_French-GSD, UD_French-Spoken, UD_German-GSD, UD_Indonesian-GSD, UD_Irish-IDT, UD_Italian-TWITTIRO, UD_Korean-GSD, UD_Korean-Kaist, UD_Latvian-LVTB, UD_Lithuanian-ALKSNIS, UD_Lithuanian-HSE, UD_Marathi-UFAL, UD_Norwegian-Bokmaal, UD_Norwegian-Nynorsk, UD_Norwegian-NynorskLIA, UD_Persian-Seraji, UD_Portuguese-Bosque, UD_Portuguese-GSD, UD_Romanian-Nonstandard, UD_Romanian-RRT, UD_Russian-GSD, UD_Russian-Taiga, UD_Serbian-SET, UD_Slovak-SNK, UD_Spanish-GSD, UD_Swedish-Talbanken, UD_Telugu-MTG, UD_Vietnamese-VTB)
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* Author: Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell; et al.
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* URL: https://universaldependencies.org/
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README.md
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@@ -3,23 +3,17 @@ tags:
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- spacy
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language:
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- multilingual
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license: cc-by-sa-
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model-index:
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- name: xx_sent_ud_sm
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results:
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- task:
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name:
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type: token-classification
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metrics:
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- name:
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type: precision
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value: 0.9029477287
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- name: SENTER Recall
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type: recall
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value: 0.8194977584
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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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---
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### Details: https://spacy.io/models/xx#xx_sent_ud_sm
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| Feature | Description |
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| --- | --- |
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| **Name** | `xx_sent_ud_sm` |
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| **Version** | `3.
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| **spaCy** | `>=3.
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| **Default Pipeline** | `senter` |
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| **Components** | `senter` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Sources** | [Universal Dependencies v2.
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| **License** | `CC BY-SA 3.0` |
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| **Author** | [Explosion](https://explosion.ai) |
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### Label Scheme
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<details>
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<summary>View label scheme (2 labels for 1 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`senter`** | `I`, `S` |
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-
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</details>
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### Accuracy
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| Type | Score |
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| --- | --- |
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| `TOKEN_ACC` | 99.29 |
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| `
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| `
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| `
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- spacy
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language:
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- multilingual
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+
license: cc-by-sa-3.0
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model-index:
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- name: xx_sent_ud_sm
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results:
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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: 0.8588287584
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---
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### Details: https://spacy.io/models/xx#xx_sent_ud_sm
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| Feature | Description |
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| --- | --- |
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| **Name** | `xx_sent_ud_sm` |
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| **Version** | `3.3.0` |
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| **spaCy** | `>=3.3.0.dev0,<3.4.0` |
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| **Default Pipeline** | `senter`, `attribute_ruler` |
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| **Components** | `senter`, `attribute_ruler` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Sources** | [Universal Dependencies v2.8 (UD_Afrikaans-AfriBooms, UD_Croatian-SET, UD_Czech-CAC, UD_Czech-CLTT, UD_Danish-DDT, UD_Dutch-Alpino, UD_Dutch-LassySmall, UD_English-EWT, UD_Finnish-FTB, UD_Finnish-TDT, UD_French-GSD, UD_French-Spoken, UD_German-GSD, UD_Indonesian-GSD, UD_Irish-IDT, UD_Italian-TWITTIRO, UD_Korean-GSD, UD_Korean-Kaist, UD_Latvian-LVTB, UD_Lithuanian-ALKSNIS, UD_Lithuanian-HSE, UD_Marathi-UFAL, UD_Norwegian-Bokmaal, UD_Norwegian-Nynorsk, UD_Norwegian-NynorskLIA, UD_Persian-Seraji, UD_Portuguese-Bosque, UD_Portuguese-GSD, UD_Romanian-Nonstandard, UD_Romanian-RRT, UD_Russian-GSD, UD_Russian-Taiga, UD_Serbian-SET, UD_Slovak-SNK, UD_Spanish-GSD, UD_Swedish-Talbanken, UD_Telugu-MTG, UD_Vietnamese-VTB)](https://universaldependencies.org/) (Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell; et al.) |
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| **License** | `CC BY-SA 3.0` |
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| **Author** | [Explosion](https://explosion.ai) |
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### Label Scheme
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### Accuracy
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| Type | Score |
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| --- | --- |
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| `TOKEN_ACC` | 99.29 |
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| `TOKEN_P` | 95.31 |
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| `TOKEN_R` | 95.72 |
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| `TOKEN_F` | 95.52 |
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| `SENTS_P` | 90.62 |
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| `SENTS_R` | 81.62 |
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| `SENTS_F` | 85.88 |
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accuracy.json
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{
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"token_acc": 0.
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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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"token_acc": 0.9929085533,
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"token_p": 0.9530830451,
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"token_r": 0.9572374635,
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"token_f": 0.955155737,
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"sents_p": 0.906203506,
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"sents_r": 0.8161612631,
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"sents_f": 0.8588287584,
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"speed": 145246.3943469636
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}
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attribute_ruler/patterns
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Binary file (125 Bytes). View file
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config.cfg
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[paths]
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train =
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dev =
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vectors = null
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raw = null
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init_tok2vec = null
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vocab_data = null
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[system]
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gpu_allocator = null
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[nlp]
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lang = "xx"
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pipeline = ["senter"]
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disabled = []
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before_creation = null
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after_creation = null
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[components]
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[components.senter]
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factory = "senter"
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[components.senter.model]
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@architectures = "spacy.Tagger.
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nO = null
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[components.senter.model.tok2vec]
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@architectures = "spacy.Tok2Vec.v2"
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[components.senter.model.tok2vec.embed]
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@architectures = "spacy.MultiHashEmbed.v2"
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width = ${components.senter.model.tok2vec.encode:width}
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attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
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rows = [1000,500,500,500]
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include_static_vectors = false
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[components.senter.model.tok2vec.encode]
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[corpora.dev]
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@readers = "spacy.Corpus.v1"
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-
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max_length = 0
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path = ${paths:dev}
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gold_preproc = false
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augmenter = null
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[corpora.train]
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@readers = "spacy.Corpus.v1"
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path = ${paths
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max_length = 5000
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gold_preproc = false
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limit = 0
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-
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[corpora.train.augmenter]
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@augmenters = "spacy.lower_case.v1"
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level = 0.1
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[training]
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train_corpus = "corpora.train"
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gpu_allocator = ${system:gpu_allocator}
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dropout = 0.1
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accumulate_gradient = 1
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patience =
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max_epochs = 0
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max_steps =
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eval_frequency = 1000
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frozen_components = []
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before_to_disk = null
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t = 0.0
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[training.logger]
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@loggers = "spacy.
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remove_config_values = []
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[training.optimizer]
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@optimizers = "Adam.v1"
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learn_rate = 0.001
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[training.score_weights]
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sents_f =
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sents_p = 0.0
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sents_r = 0.0
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[pretraining]
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[initialize]
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vocab_data =
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vectors = ${paths.vectors}
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init_tok2vec = ${paths.init_tok2vec}
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before_init = null
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[paths]
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train = null
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dev = null
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vectors = null
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init_tok2vec = null
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[system]
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gpu_allocator = null
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[nlp]
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lang = "xx"
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pipeline = ["senter","attribute_ruler"]
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disabled = []
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before_creation = null
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after_creation = null
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[components]
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[components.attribute_ruler]
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factory = "attribute_ruler"
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scorer = {"@scorers":"spacy.attribute_ruler_scorer.v1"}
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validate = false
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[components.senter]
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factory = "senter"
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overwrite = false
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scorer = {"@scorers":"spacy.senter_scorer.v1"}
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[components.senter.model]
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@architectures = "spacy.Tagger.v2"
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nO = null
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normalize = false
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[components.senter.model.tok2vec]
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@architectures = "spacy.Tok2Vec.v2"
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[components.senter.model.tok2vec.embed]
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@architectures = "spacy.MultiHashEmbed.v2"
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width = ${components.senter.model.tok2vec.encode:width}
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attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
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rows = [1000,500,500,500,50]
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include_static_vectors = false
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[components.senter.model.tok2vec.encode]
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[corpora.dev]
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@readers = "spacy.Corpus.v1"
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path = ${paths.dev}
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gold_preproc = false
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max_length = 0
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limit = 0
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augmenter = null
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[corpora.train]
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@readers = "spacy.Corpus.v1"
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path = ${paths.train}
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gold_preproc = false
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max_length = 0
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limit = 0
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augmenter = null
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[training]
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train_corpus = "corpora.train"
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gpu_allocator = ${system:gpu_allocator}
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dropout = 0.1
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accumulate_gradient = 1
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patience = 10000
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max_epochs = 0
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max_steps = 100000
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eval_frequency = 1000
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frozen_components = []
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before_to_disk = null
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t = 0.0
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[training.logger]
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@loggers = "spacy.ConsoleLogger.v1"
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progress_bar = false
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[training.optimizer]
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@optimizers = "Adam.v1"
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learn_rate = 0.001
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[training.score_weights]
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sents_f = 0.06
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sents_p = 0.0
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sents_r = 0.0
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dep_uas = 0.0
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dep_las = 0.47
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ents_f = 0.47
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ents_p = 0.0
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ents_r = 0.0
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speed = 0.0
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[pretraining]
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[initialize]
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vocab_data = null
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vectors = ${paths.vectors}
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init_tok2vec = ${paths.init_tok2vec}
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before_init = null
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meta.json
CHANGED
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{
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"lang":"xx",
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"name":"sent_ud_sm",
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"version":"3.
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"description":"Multi-language pipeline optimized for CPU. Components: senter.",
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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":"CC BY-SA 3.0",
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"spacy_version":">=3.
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"spacy_git_version":"
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"vectors":{
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"width":0,
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"vectors":0,
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"name":null
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},
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"labels":{
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"
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-
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"S"
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]
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},
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"pipeline":[
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"senter"
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],
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"components":[
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-
"senter"
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],
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"disabled":[
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],
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"performance":{
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"token_acc":0.
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-
"
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},
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"sources":[
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{
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"name":"Universal Dependencies v2.
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"url":"https://universaldependencies.org/",
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"license":"CC BY-SA 3.0",
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"author":"Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell; et al."
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{
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"lang":"xx",
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"name":"sent_ud_sm",
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"version":"3.3.0",
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"description":"Multi-language pipeline optimized for CPU. Components: senter.",
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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":"CC BY-SA 3.0",
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"spacy_version":">=3.3.0.dev0,<3.4.0",
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"spacy_git_version":"849bef2de",
|
| 12 |
"vectors":{
|
| 13 |
"width":0,
|
| 14 |
"vectors":0,
|
| 16 |
"name":null
|
| 17 |
},
|
| 18 |
"labels":{
|
| 19 |
+
"attribute_ruler":[
|
| 20 |
+
|
|
|
|
| 21 |
]
|
| 22 |
},
|
| 23 |
"pipeline":[
|
| 24 |
+
"senter",
|
| 25 |
+
"attribute_ruler"
|
| 26 |
],
|
| 27 |
"components":[
|
| 28 |
+
"senter",
|
| 29 |
+
"attribute_ruler"
|
| 30 |
],
|
| 31 |
"disabled":[
|
| 32 |
|
| 33 |
],
|
| 34 |
"performance":{
|
| 35 |
+
"token_acc":0.9929085533,
|
| 36 |
+
"token_p":0.9530830451,
|
| 37 |
+
"token_r":0.9572374635,
|
| 38 |
+
"token_f":0.955155737,
|
| 39 |
+
"sents_p":0.906203506,
|
| 40 |
+
"sents_r":0.8161612631,
|
| 41 |
+
"sents_f":0.8588287584,
|
| 42 |
+
"speed":145246.3943469636
|
| 43 |
},
|
| 44 |
"sources":[
|
| 45 |
{
|
| 46 |
+
"name":"Universal Dependencies v2.8 (UD_Afrikaans-AfriBooms, UD_Croatian-SET, UD_Czech-CAC, UD_Czech-CLTT, UD_Danish-DDT, UD_Dutch-Alpino, UD_Dutch-LassySmall, UD_English-EWT, UD_Finnish-FTB, UD_Finnish-TDT, UD_French-GSD, UD_French-Spoken, UD_German-GSD, UD_Indonesian-GSD, UD_Irish-IDT, UD_Italian-TWITTIRO, UD_Korean-GSD, UD_Korean-Kaist, UD_Latvian-LVTB, UD_Lithuanian-ALKSNIS, UD_Lithuanian-HSE, UD_Marathi-UFAL, UD_Norwegian-Bokmaal, UD_Norwegian-Nynorsk, UD_Norwegian-NynorskLIA, UD_Persian-Seraji, UD_Portuguese-Bosque, UD_Portuguese-GSD, UD_Romanian-Nonstandard, UD_Romanian-RRT, UD_Russian-GSD, UD_Russian-Taiga, UD_Serbian-SET, UD_Slovak-SNK, UD_Spanish-GSD, UD_Swedish-Talbanken, UD_Telugu-MTG, UD_Vietnamese-VTB)",
|
| 47 |
"url":"https://universaldependencies.org/",
|
| 48 |
"license":"CC BY-SA 3.0",
|
| 49 |
"author":"Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell; et al."
|
senter/cfg
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
{
|
| 2 |
-
|
| 3 |
}
|
| 1 |
{
|
| 2 |
+
"overwrite":false
|
| 3 |
}
|
senter/model
CHANGED
|
Binary files a/senter/model and b/senter/model differ
|
tokenizer
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
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vocab/strings.json
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@@ -1,3 +1,3 @@
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| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
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vocab/vectors.cfg
ADDED
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@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"mode":"default"
|
| 3 |
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}
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xx_sent_ud_sm-any-py3-none-any.whl
CHANGED
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@@ -1,3 +1,3 @@
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