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Upload latest la_senter model, v. 0.1.0

la_senter-0.1.0/MANIFEST.in ADDED
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+ include meta.json
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+ include LICENSE
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+ include LICENSES_SOURCES
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+ include README.md
la_senter-0.1.0/README.md ADDED
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+ | Feature | Description |
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+ | --- | --- |
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+ | **Name** | `la_senter` |
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+ | **Version** | `0.1.0` |
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+ | **spaCy** | `>=3.4.2,<3.5.0` |
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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** | UD_Latin-Perseus<br />UD_Latin-PROIEL<br />UD_Latin-ITTB<br />UD_Latin-LLCT<br />UD_Latin-UDante |
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+ | **License** | `MIT` |
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+ | **Author** | [Patrick J. Burns](https://diyclassics.github.io/) |
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+
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+ ### Accuracy
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+
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+ | Type | Score |
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+ | --- | --- |
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+ | `SENTS_F` | 99.55 |
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+ | `SENTS_P` | 99.43 |
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+ | `SENTS_R` | 99.67 |
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+ | `SENTER_LOSS` | 5172.72 |
la_senter-0.1.0/dist/la_senter-0.1.0.tar.gz ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:51f32a557bfac7d13b04588655ee0a7dfbbebb1403de148563946a2685433b4f
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+ size 423389
la_senter-0.1.0/la_senter.egg-info/PKG-INFO ADDED
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+ Metadata-Version: 2.1
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+ Name: la-senter
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+ Version: 0.1.0
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+ Home-page: https://diyclassics.github.io/
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+ Author: Patrick J. Burns
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+ Author-email: pjb311@nyu.edu
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+ License: MIT
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+
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+ | Feature | Description |
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+ | --- | --- |
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+ | **Name** | `la_senter` |
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+ | **Version** | `0.1.0` |
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+ | **spaCy** | `>=3.4.2,<3.5.0` |
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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** | UD_Latin-Perseus<br />UD_Latin-PROIEL<br />UD_Latin-ITTB<br />UD_Latin-LLCT<br />UD_Latin-UDante |
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+ | **License** | `MIT` |
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+ | **Author** | [Patrick J. Burns](https://diyclassics.github.io/) |
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+
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+ ### Accuracy
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+
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+ | Type | Score |
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+ | --- | --- |
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+ | `SENTS_F` | 99.55 |
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+ | `SENTS_P` | 99.43 |
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+ | `SENTS_R` | 99.67 |
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+ | `SENTER_LOSS` | 5172.72 |
la_senter-0.1.0/la_senter.egg-info/SOURCES.txt ADDED
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+ MANIFEST.in
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+ README.md
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+ meta.json
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+ setup.py
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+ la_senter/__init__.py
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+ la_senter/meta.json
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+ la_senter.egg-info/PKG-INFO
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+ la_senter.egg-info/SOURCES.txt
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+ la_senter.egg-info/dependency_links.txt
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+ la_senter.egg-info/entry_points.txt
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+ la_senter.egg-info/not-zip-safe
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+ la_senter.egg-info/requires.txt
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+ la_senter.egg-info/top_level.txt
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+ la_senter/la_senter-0.1.0/config.cfg
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+ la_senter/la_senter-0.1.0/meta.json
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+ la_senter/la_senter-0.1.0/tokenizer
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+ la_senter/la_senter-0.1.0/senter/cfg
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+ la_senter/la_senter-0.1.0/senter/model
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+ la_senter/la_senter-0.1.0/vocab/key2row
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+ la_senter/la_senter-0.1.0/vocab/lookups.bin
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+ la_senter/la_senter-0.1.0/vocab/strings.json
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+ la_senter/la_senter-0.1.0/vocab/vectors
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+ la_senter/la_senter-0.1.0/vocab/vectors.cfg
la_senter-0.1.0/la_senter.egg-info/dependency_links.txt ADDED
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+
la_senter-0.1.0/la_senter.egg-info/entry_points.txt ADDED
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+ [spacy_models]
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+ la_senter = la_senter
la_senter-0.1.0/la_senter.egg-info/not-zip-safe ADDED
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+
la_senter-0.1.0/la_senter.egg-info/requires.txt ADDED
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+ spacy<3.5.0,>=3.4.2
la_senter-0.1.0/la_senter.egg-info/top_level.txt ADDED
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+ la_senter
la_senter-0.1.0/la_senter/__init__.py ADDED
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+ from pathlib import Path
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+ from spacy.util import load_model_from_init_py, get_model_meta
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+
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+
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+
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+ __version__ = get_model_meta(Path(__file__).parent)['version']
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+
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+
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+ def load(**overrides):
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+ return load_model_from_init_py(__file__, **overrides)
la_senter-0.1.0/la_senter/la_senter-0.1.0/config.cfg ADDED
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+ [paths]
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+ train = "corpus/ud-train.spacy"
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+ dev = "corpus/ud-dev.spacy"
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+ vectors = null
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+ init_tok2vec = null
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+
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+ [system]
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+ gpu_allocator = null
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+ seed = 0
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+
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+ [nlp]
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+ lang = "la"
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+ pipeline = ["senter"]
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+ batch_size = 1000
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+ disabled = []
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+ 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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+
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+ [components]
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+
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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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+
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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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+
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+ [components.senter.model.tok2vec]
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+ @architectures = "spacy.HashEmbedCNN.v2"
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+ pretrained_vectors = true
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+ width = 12
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+ depth = 1
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+ embed_size = 2000
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+ window_size = 1
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+ maxout_pieces = 2
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+ subword_features = true
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+
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+ [corpora]
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+
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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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+ max_length = 0
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+ gold_preproc = false
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+ limit = 0
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+ augmenter = null
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+
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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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+ max_length = 0
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+ gold_preproc = false
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+ limit = 0
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+ augmenter = null
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+
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+ [training]
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+ dev_corpus = "corpora.dev"
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+ train_corpus = "corpora.train"
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+ seed = ${system.seed}
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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 = 1600
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+ max_epochs = 0
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+ max_steps = 20000
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+ eval_frequency = 200
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+ frozen_components = []
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+ annotating_components = []
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+ before_to_disk = null
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+
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+ [training.batcher]
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+ @batchers = "spacy.batch_by_words.v1"
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+ discard_oversize = false
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+ tolerance = 0.2
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+ get_length = null
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+
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+ [training.batcher.size]
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+ @schedules = "compounding.v1"
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+ start = 100
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+ stop = 1000
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+ compound = 1.001
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+ t = 0.0
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+
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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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+
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+ [training.optimizer]
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+ @optimizers = "Adam.v1"
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+ beta1 = 0.9
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+ beta2 = 0.999
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+ L2_is_weight_decay = true
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+ L2 = 0.01
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+ grad_clip = 1.0
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+ use_averages = false
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+ eps = 0.00000001
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+ learn_rate = 0.001
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+
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+ [training.score_weights]
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+ sents_f = 1.0
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+ sents_p = 0.0
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+ sents_r = 0.0
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+
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+ [pretraining]
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+
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+ [initialize]
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+ vectors = ${paths.vectors}
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+ init_tok2vec = ${paths.init_tok2vec}
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+ vocab_data = null
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+ lookups = null
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+ before_init = null
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+ after_init = null
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+
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+ [initialize.components]
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+
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+ [initialize.tokenizer]
la_senter-0.1.0/la_senter/la_senter-0.1.0/meta.json ADDED
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+ {
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+ "lang":"la",
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+ "name":"senter",
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+ "version":"0.1.0",
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+ "description":"",
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+ "author":"Patrick J. Burns",
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+ "email":"pjb311@nyu.edu",
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+ "url":"https://diyclassics.github.io/",
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+ "license":"MIT",
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+ "spacy_version":">=3.4.2,<3.5.0",
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+ "spacy_git_version":"3d0e89536",
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+ "vectors":{
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+ "width":0,
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+ "vectors":0,
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+ "keys":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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+ "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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+ ],
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+ "performance":{
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+ "sents_f":0.9959487573,
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+ "sents_p":0.9947506562,
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+ "sents_r":0.9971497479,
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+ "senter_loss":31.6800070137
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+ },
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+ "sources":[
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+ "UD_Latin-Perseus",
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+ "UD_Latin-PROIEL",
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+ "UD_Latin-ITTB",
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+ "UD_Latin-LLCT",
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+ "UD_Latin-UDante"
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+ ],
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+ "requirements":[
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+
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+ ]
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+ }
la_senter-0.1.0/la_senter/la_senter-0.1.0/senter/cfg ADDED
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+ {
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+ "overwrite":false
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+ }
la_senter-0.1.0/la_senter/la_senter-0.1.0/senter/model ADDED
Binary file (257 kB). View file
 
la_senter-0.1.0/la_senter/la_senter-0.1.0/tokenizer ADDED
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+ "lang":"la",
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+ "name":"senter",
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+ "version":"0.1.0",
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+ "author":"Patrick J. Burns",
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+ "email":"pjb311@nyu.edu",
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+ "url":"https://diyclassics.github.io/",
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+ "license":"MIT",
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+ ],
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+ "components":[
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+ ],
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+ "disabled":[
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+
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+ ],
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+ "performance":{
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+ "sents_f":0.9959487573,
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+ "sents_p":0.9947506562,
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+ "sents_r":0.9971497479,
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+ "senter_loss":31.6800070137
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+ },
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+ "sources":[
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+ "UD_Latin-Perseus",
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+ "UD_Latin-PROIEL",
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+ "UD_Latin-ITTB",
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+ "UD_Latin-LLCT",
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+ "UD_Latin-UDante"
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+ ],
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+ "requirements":[
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+
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+ ]
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+ "sources":[
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+ "UD_Latin-PROIEL",
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+ #!/usr/bin/env python
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+ import io
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+ import json
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+ from os import path, walk
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+ from shutil import copy
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+ from setuptools import setup
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+
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+
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+ def load_meta(fp):
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+ with io.open(fp, encoding='utf8') as f:
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+ return json.load(f)
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+ def load_readme(fp):
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+ with io.open(fp, encoding='utf8') as f:
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+ return f.read()
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+ return ""
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+
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+
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+ def list_files(data_dir):
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+ output = []
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+ def list_requirements(meta):
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+ def setup_package():
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+ root = path.abspath(path.dirname(__file__))
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+ meta_path = path.join(root, 'meta.json')
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+ meta = load_meta(meta_path)
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+ readme_path = path.join(root, 'README.md')
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+ readme = load_readme(readme_path)
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+ model_name = str(meta['lang'] + '_' + meta['name'])
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+ model_dir = path.join(model_name, model_name + '-' + meta['version'])
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+
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+ copy(meta_path, path.join(model_name))
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+ copy(meta_path, model_dir)
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+
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+ setup(
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+ name=model_name,
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+ description=meta.get('description'),
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+ long_description=readme,
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+ author=meta.get('author'),
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+ author_email=meta.get('email'),
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+ url=meta.get('url'),
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+ version=meta['version'],
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+ license=meta.get('license'),
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+ packages=[model_name],
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+ package_data={model_name: list_files(model_dir)},
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+ install_requires=list_requirements(meta),
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+ zip_safe=False,
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+ entry_points={'spacy_models': ['{m} = {m}'.format(m=model_name)]}
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+ )
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+
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+
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+ if __name__ == '__main__':
72
+ setup_package()