baukearends
commited on
Commit
•
b10be2f
1
Parent(s):
3402b6f
Update spaCy pipeline
Browse files- .gitattributes +2 -0
- README.md +45 -0
- config.cfg +159 -0
- meta.json +53 -0
- meta_hf.json +47 -0
- nl_Echocardiogram_SpanCategorizer_lv_syst_func-any-py3-none-any.whl +3 -0
- spancat/cfg +16 -0
- spancat/model +0 -0
- tok2vec/cfg +3 -0
- tok2vec/model +3 -0
- tokenizer +0 -0
- vocab/key2row +1 -0
- vocab/lookups.bin +3 -0
- vocab/strings.json +0 -0
- vocab/vectors +0 -0
- vocab/vectors.cfg +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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nl_Echocardiogram_SpanCategorizer_lv_syst_func-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
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tok2vec/model filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -0,0 +1,45 @@
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---
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tags:
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- spacy
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language:
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- nl
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license: cc-by-sa-4.0
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model-index:
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- name: nl_Echocardiogram_SpanCategorizer_lv_syst_func
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results: []
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---
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Package to classify spans for the presence and severity of left ventricular systolic dysfunction in Dutch echocardiogram reports.
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| Feature | Description |
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| --- | --- |
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| **Name** | `nl_Echocardiogram_SpanCategorizer_lv_syst_func` |
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| **Version** | `1.0.0` |
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| **spaCy** | `>=3.7.4,<3.8.0` |
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| **Default Pipeline** | `tok2vec`, `spancat` |
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| **Components** | `tok2vec`, `spancat` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Sources** | n/a |
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| **License** | `cc-ny-sa-4.0` |
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| **Author** | [Bauke Arends]() |
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### Label Scheme
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<details>
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<summary>View label scheme (7 labels for 1 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`spancat`** | `lv_sys_func_normal`, `lv_sys_func_mild`, `lv_sys_func_moderate`, `lv_sys_func_severe`, `lv_sys_func_unchanged`, `lv_sys_func_unknown`, `lv_sys_func_improved` |
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</details>
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### Accuracy
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| Type | Score |
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| --- | --- |
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| `SPANS_SC_F` | 76.99 |
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| `SPANS_SC_P` | 79.16 |
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| `SPANS_SC_R` | 74.93 |
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| `TOK2VEC_LOSS` | 1264.95 |
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| `SPANCAT_LOSS` | 154542.04 |
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config.cfg
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[paths]
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train = "./spacy_data/lv_syst_func//train.spacy"
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dev = "./spacy_data/lv_syst_func//test.spacy"
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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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seed = 0
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[nlp]
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lang = "nl"
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pipeline = ["tok2vec","spancat"]
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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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vectors = {"@vectors":"spacy.Vectors.v1"}
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[components]
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[components.spancat]
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factory = "spancat_singlelabel"
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allow_overlap = true
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negative_weight = 0.6
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scorer = {"@scorers":"spacy.spancat_scorer.v1"}
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spans_key = "sc"
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[components.spancat.model]
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@architectures = "spacy.SpanCategorizer.v1"
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[components.spancat.model.reducer]
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@layers = "spacy.mean_max_reducer.v1"
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hidden_size = 128
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[components.spancat.model.scorer]
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@layers = "spacy.LinearLogistic.v1"
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nO = null
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nI = null
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[components.spancat.model.tok2vec]
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@architectures = "spacy.Tok2VecListener.v1"
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width = ${components.tok2vec.model.encode.width}
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upstream = "*"
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[components.spancat.suggester]
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@misc = "spacy.ngram_range_suggester.v1"
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min_size = 1
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max_size = 25
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[components.tok2vec]
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factory = "tok2vec"
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[components.tok2vec.model]
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@architectures = "spacy.Tok2Vec.v2"
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[components.tok2vec.model.embed]
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@architectures = "spacy.MultiHashEmbed.v2"
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width = ${components.tok2vec.model.encode.width}
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attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
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rows = [5000,1000,2500,2500]
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include_static_vectors = false
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[components.tok2vec.model.encode]
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@architectures = "spacy.MaxoutWindowEncoder.v2"
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width = 96
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depth = 4
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window_size = 1
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maxout_pieces = 3
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[corpora]
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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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[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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[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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before_update = null
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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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[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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[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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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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[training.score_weights]
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spans_sc_f = 1.0
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spans_sc_p = 0.0
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spans_sc_r = 0.0
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[pretraining]
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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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[initialize.components]
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[initialize.components.spancat]
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[initialize.components.spancat.labels]
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@readers = "spacy.read_labels.v1"
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path = "corpus/labels/spancat.json"
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require = false
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[initialize.tokenizer]
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meta.json
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{
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"lang":"nl",
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"name":"Echocardiogram_SpanCategorizer_lv_syst_func",
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"version":"1.0.0",
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"description":"Package to classify spans for the presence and severity of left ventricular systolic dysfunction in Dutch echocardiogram reports.",
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"author":"Bauke Arends",
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"email":"b.k.o.arends-4@umcutrecht.nl",
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"url":"",
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"license":"cc-by-sa-4.0",
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"spacy_version":">=3.7.4,<3.8.0",
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"spacy_git_version":"bff8725f4",
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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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"tok2vec":[
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],
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"spancat":[
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"lv_sys_func_normal",
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"lv_sys_func_mild",
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"lv_sys_func_moderate",
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"lv_sys_func_severe",
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"lv_sys_func_unchanged",
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"lv_sys_func_unknown",
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"lv_sys_func_improved"
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]
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},
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"pipeline":[
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"tok2vec",
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"spancat"
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],
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"components":[
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"tok2vec",
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"spancat"
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],
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"disabled":[
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],
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"performance":{
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"spans_sc_f":0.7698574338,
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"spans_sc_p":0.7916230366,
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"spans_sc_r":0.7492566898,
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"tok2vec_loss":12.6495223089,
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"spancat_loss":1545.420399487
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},
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"requirements":[
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]
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}
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meta_hf.json
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{
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"lang": "nl",
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"name": "Echocardiogram_SpanCategorizer_lv_syst_func",
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"version": "1.0.0",
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5 |
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"spacy_version": ">=3.7.4,<3.8.0",
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"description": "Package to classify spans for the presence and severity of left ventricular systolic dysfunction in Dutch echocardiogram reports.",
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"author": "Bauke Arends",
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"email": "b.k.o.arends-4@umcutrecht.nl",
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"url": "",
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"license": "cc-by-sa-4.0",
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"spacy_git_version": "bff8725f4",
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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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"mode": "default"
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},
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"labels": {
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"tok2vec": [],
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"spancat": [
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"lv_sys_func_normal",
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"lv_sys_func_mild",
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"lv_sys_func_moderate",
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"lv_sys_func_severe",
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"lv_sys_func_unchanged",
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"lv_sys_func_unknown",
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"lv_sys_func_improved"
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]
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},
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"pipeline": [
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"tok2vec",
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"spancat"
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],
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"components": [
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"tok2vec",
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"spancat"
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],
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"disabled": [],
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"performance": {
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41 |
+
"spans_sc_f": 0.7698574338,
|
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|
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|
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"tok2vec_loss": 12.6495223089,
|
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"spancat_loss": 1545.420399487
|
46 |
+
}
|
47 |
+
}
|
nl_Echocardiogram_SpanCategorizer_lv_syst_func-any-py3-none-any.whl
ADDED
@@ -0,0 +1,3 @@
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|
1 |
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version https://git-lfs.github.com/spec/v1
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size 6229629
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spancat/cfg
ADDED
@@ -0,0 +1,16 @@
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|
|
|
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|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
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|
1 |
+
{
|
2 |
+
"labels":[
|
3 |
+
"lv_sys_func_normal",
|
4 |
+
"lv_sys_func_mild",
|
5 |
+
"lv_sys_func_moderate",
|
6 |
+
"lv_sys_func_severe",
|
7 |
+
"lv_sys_func_unchanged",
|
8 |
+
"lv_sys_func_unknown",
|
9 |
+
"lv_sys_func_improved"
|
10 |
+
],
|
11 |
+
"spans_key":"sc",
|
12 |
+
"threshold":null,
|
13 |
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"max_positive":1,
|
14 |
+
"negative_weight":0.6,
|
15 |
+
"allow_overlap":true
|
16 |
+
}
|
spancat/model
ADDED
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|
|
tok2vec/cfg
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
|
3 |
+
}
|
tok2vec/model
ADDED
@@ -0,0 +1,3 @@
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|
|
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|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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tokenizer
ADDED
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|
vocab/key2row
ADDED
@@ -0,0 +1 @@
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|
|
|
1 |
+
�
|
vocab/lookups.bin
ADDED
@@ -0,0 +1,3 @@
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1 |
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vocab/strings.json
ADDED
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|
vocab/vectors
ADDED
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|
vocab/vectors.cfg
ADDED
@@ -0,0 +1,3 @@
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|
|
|
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|
|
|
|
1 |
+
{
|
2 |
+
"mode":"default"
|
3 |
+
}
|