Update spaCy pipeline

.gitattributes

@@ -33,3 +33,11 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+fr_pipeline-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
+national/model filter=lfs diff=lfs merge=lfs -text
+ner/model filter=lfs diff=lfs merge=lfs -text
+sentiments/model filter=lfs diff=lfs merge=lfs -text
+tagger/model filter=lfs diff=lfs merge=lfs -text
+thematic/model filter=lfs diff=lfs merge=lfs -text
+tok2vec/model filter=lfs diff=lfs merge=lfs -text
+vocab/vectors filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,53 @@
+---
+tags:
+- spacy
+- token-classification
+language:
+- fr
+model-index:
+- name: fr_pipeline
+  results: []
+---
+| Feature | Description |
+| --- | --- |
+| **Name** | `fr_pipeline` |
+| **Version** | `0.0.0` |
+| **spaCy** | `>=3.4.1,<3.5.0` |
+| **Default Pipeline** | `tok2vec`, `tagger`, `national`, `thematic`, `sentiments`, `ner` |
+| **Components** | `tok2vec`, `tagger`, `national`, `thematic`, `sentiments`, `ner` |
+| **Vectors** | -1 keys, 50000 unique vectors (300 dimensions) |
+| **Sources** | n/a |
+| **License** | n/a |
+| **Author** | [n/a]() |
+
+### Label Scheme
+
+<details>
+
+<summary>View label scheme (71 labels for 5 components)</summary>
+
+| Component | Labels |
+| --- | --- |
+| **`tagger`** | `1`, `10`, `100`, `125`, `13`, `14`, `15`, `17`, `19`, `190`, `2`, `25`, `3`, `46`, `5`, `50`, `500`, `6`, `7`, `80`, `800`, `ADJ`, `ADP`, `ADV`, `AUX`, `CCONJ`, `CONJ`, `DET`, `INTJ`, `NOUN`, `NUM`, `PRON`, `PROPN`, `PUNCT`, `SCONJ`, `SYM`, `VERB`, `X` |
+| **`national`** | `International`, `National` |
+| **`thematic`** | `Coopération/Diplomatie`, `Culture`, `Economie`, `Education`, `Election`, `Environnement`, `Gouvernement`, `Insolite`, `Justice`, `Nécrologie`, `People`, `Politique`, `Réligion`, `Santé`, `Sexualité/Vie couple`, `Société`, `Sport`, `Sécurité`, `Sécurité routière`, `Technologie` |
+| **`sentiments`** | `Negatif`, `Neutre`, `Positif` |
+| **`ner`** | `DATE`, `EVENT`, `LOC`, `MISC`, `MONEY`, `ORG`, `PER`, `PER-T` |
+
+</details>
+
+### Accuracy
+
+| Type | Score |
+| --- | --- |
+| `CATS_SCORE` | 90.37 |
+| `CATS_MICRO_P` | 96.04 |
+| `CATS_MICRO_R` | 96.04 |
+| `CATS_MICRO_F` | 96.04 |
+| `CATS_MACRO_P` | 92.01 |
+| `CATS_MACRO_R` | 88.90 |
+| `CATS_MACRO_F` | 90.37 |
+| `CATS_MACRO_AUC` | 97.36 |
+| `CATS_MACRO_AUC_PER_TYPE` | 0.00 |
+| `TOK2VEC_LOSS` | 0.00 |
+| `TEXTCAT_LOSS` | 478.59 |

accuracy.json

@@ -0,0 +1,230 @@
+{
+	"tagger" : {
+    "tag_acc":0.988275739,
+    "tok2vec_loss":0.0,
+    "tagger_loss":4150.690571785
+  },
+  "thematic" : {
+    "cats_score":0.9611255871,
+    "cats_score_desc":"macro AUC",
+    "cats_micro_p":0.8275566232,
+    "cats_micro_r":0.7722978383,
+    "cats_micro_f":0.7989729148,
+    "cats_macro_p":0.7304133124,
+    "cats_macro_r":0.6277125906,
+    "cats_macro_f":0.6704716103,
+    "cats_macro_auc":0.9611255871,
+    "cats_f_per_type":{
+      "Coop\u00e9ration/Diplomatie":{
+        "p":0.8024691358,
+        "r":0.5,
+        "f":0.6161137441
+      },
+      "Culture":{
+        "p":0.7845744681,
+        "r":0.6766055046,
+        "f":0.7266009852
+      },
+      "Economie":{
+        "p":0.8031674208,
+        "r":0.7071713147,
+        "f":0.7521186441
+      },
+      "Education":{
+        "p":0.8840206186,
+        "r":0.8070588235,
+        "f":0.8437884379
+      },
+      "Election":{
+        "p":0.8252788104,
+        "r":0.874015748,
+        "f":0.8489483748
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+      "Environnement":{
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+        "r":0.0,
+        "f":0.0
+      },
+      "Gouvernement":{
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+        "r":0.71875,
+        "f":0.8070175439
+      },
+      "Insolite":{
+        "p":0.7083333333,
+        "r":0.3863636364,
+        "f":0.5
+      },
+      "Justice":{
+        "p":0.8082524272,
+        "r":0.7585421412,
+        "f":0.7826086957
+      },
+      "N\u00e9crologie":{
+        "p":0.9230769231,
+        "r":0.8,
+        "f":0.8571428571
+      },
+      "People":{
+        "p":0.6842105263,
+        "r":0.4333333333,
+        "f":0.5306122449
+      },
+      "Politique":{
+        "p":0.8357050453,
+        "r":0.7699642431,
+        "f":0.8014888337
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+      "R\u00e9ligion":{
+        "p":0.8556149733,
+        "r":0.7582938389,
+        "f":0.8040201005
+      },
+      "Sant\u00e9":{
+        "p":0.8976377953,
+        "r":0.8028169014,
+        "f":0.8475836431
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+      "Sexualit\u00e9/Vie couple":{
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+        "r":0.6111111111,
+        "f":0.7154471545
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+      "Soci\u00e9t\u00e9":{
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+        "r":0.6532738095,
+        "f":0.6929755328
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+      "Sport":{
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+        "r":0.9083333333,
+        "f":0.9017580145
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+      "S\u00e9curit\u00e9":{
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+        "r":0.9169199595,
+        "f":0.8812074002
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+      "S\u00e9curit\u00e9 routi\u00e8re":{
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+        "r":0.0,
+        "f":0.0
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+      "Technologie":{
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+        "r":0.4716981132,
+        "f":0.5
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+    },
+    "cats_macro_auc_per_type":0.0,
+    "tok2vec_loss":0.0,
+    "textcat_multilabel_loss":0.6762271562
+  },
+  "national" : {
+    "cats_score":0.9037233173,
+    "cats_score_desc":"macro F",
+    "cats_micro_p":0.9603673272,
+    "cats_micro_r":0.9603673272,
+    "cats_micro_f":0.9603673272,
+    "cats_macro_p":0.9201033646,
+    "cats_macro_r":0.8890054321,
+    "cats_macro_f":0.9037233173,
+    "cats_macro_auc":0.9736423963,
+    "cats_f_per_type":{
+      "International":{
+        "p":0.8683068017,
+        "r":0.7947019868,
+        "f":0.8298755187
+      },
+      "National":{
+        "p":0.9718999275,
+        "r":0.9833088775,
+        "f":0.977571116
+      }
+    },
+    "cats_macro_auc_per_type":0.0,
+    "tok2vec_loss":0.0,
+    "textcat_loss":4.785939348
+  },
+  "sentiments" : {
+    "cats_score":0.9330357215,
+    "cats_score_desc":"macro AUC",
+    "cats_micro_p":0.8108448928,
+    "cats_micro_r":0.798757764,
+    "cats_micro_f":0.8047559449,
+    "cats_macro_p":0.7994666767,
+    "cats_macro_r":0.7540619675,
+    "cats_macro_f":0.7683867088,
+    "cats_macro_auc":0.9330357215,
+    "cats_f_per_type":{
+      "Negatif":{
+        "p":0.8489208633,
+        "r":0.9007633588,
+        "f":0.8740740741
+      },
+      "Neutre":{
+        "p":0.7916666667,
+        "r":0.5428571429,
+        "f":0.6440677966
+      },
+      "Positif":{
+        "p":0.7578125,
+        "r":0.8185654008,
+        "f":0.7870182556
+      }
+    },
+    "cats_macro_auc_per_type":0.0,
+    "tok2vec_loss":0.0,
+    "textcat_multilabel_loss":13.0663842873
+  },
+  "ner": {
+    "ents_f":0.7588811189,
+    "ents_p":0.7762517883,
+    "ents_r":0.7422708618,
+    "ents_per_type":{
+      "LOC":{
+        "p":0.8458942632,
+        "r":0.8421052632,
+        "f":0.8439955107
+      },
+      "DATE":{
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+        "r":0.9387387387,
+        "f":0.9213085765
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+      "ORG":{
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+        "r":0.7681874229,
+        "f":0.7461077844
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+      "EVENT":{
+        "p":0.546875,
+        "r":0.5497382199,
+        "f":0.5483028721
+      },
+      "PER":{
+        "p":0.8877005348,
+        "r":0.8713910761,
+        "f":0.8794701987
+      },
+      "PER-T":{
+        "p":0.7157534247,
+        "r":0.4696629213,
+        "f":0.5671641791
+      },
+      "MISC":{
+        "p":0.4787234043,
+        "r":0.2710843373,
+        "f":0.3461538462
+      },
+      "MONEY":{
+        "p":0.7777777778,
+        "r":0.9545454545,
+        "f":0.8571428571
+      }
+    },
+    "tok2vec_loss":0.0,
+    "ner_loss":7193.7047263753
+  },
+  "speed": 4445.2953793177
+}

config.cfg

@@ -0,0 +1,287 @@
+[paths]
+train = null
+dev = null
+vectors = null
+init_tok2vec = null
+
+[system]
+seed = 0
+gpu_allocator = null
+
+[nlp]
+lang = "fr"
+pipeline = ["tok2vec","tagger","national","thematic","sentiments","ner"]
+disabled = []
+before_creation = null
+after_creation = null
+after_pipeline_creation = null
+batch_size = 1000
+tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
+
+[components]
+
+[components.national]
+factory = "textcat"
+scorer = {"@scorers":"spacy.textcat_scorer.v1"}
+threshold = 0.5
+
+[components.national.model]
+@architectures = "spacy.TextCatEnsemble.v2"
+nO = null
+
+[components.national.model.linear_model]
+@architectures = "spacy.TextCatBOW.v2"
+exclusive_classes = true
+ngram_size = 1
+no_output_layer = false
+nO = null
+
+[components.national.model.tok2vec]
+@architectures = "spacy.Tok2Vec.v2"
+
+[components.national.model.tok2vec.embed]
+@architectures = "spacy.MultiHashEmbed.v2"
+width = 64
+rows = [2000,2000,1000,1000,1000,1000]
+attrs = ["ORTH","LOWER","PREFIX","SUFFIX","SHAPE","ID"]
+include_static_vectors = true
+
+[components.national.model.tok2vec.encode]
+@architectures = "spacy.MaxoutWindowEncoder.v2"
+width = 64
+window_size = 1
+maxout_pieces = 3
+depth = 2
+
+[components.ner]
+factory = "ner"
+incorrect_spans_key = null
+moves = null
+scorer = {"@scorers":"spacy.ner_scorer.v1"}
+update_with_oracle_cut_size = 100
+
+[components.ner.model]
+@architectures = "spacy.TransitionBasedParser.v2"
+state_type = "ner"
+extra_state_tokens = false
+hidden_width = 64
+maxout_pieces = 2
+use_upper = true
+nO = null
+
+[components.ner.model.tok2vec]
+@architectures = "spacy.Tok2Vec.v2"
+
+[components.ner.model.tok2vec.embed]
+@architectures = "spacy.MultiHashEmbed.v2"
+width = 96
+attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
+rows = [5000,1000,2500,2500,50]
+include_static_vectors = true
+
+[components.ner.model.tok2vec.encode]
+@architectures = "spacy.MaxoutWindowEncoder.v2"
+width = 96
+depth = 4
+window_size = 1
+maxout_pieces = 3
+
+[components.sentiments]
+factory = "textcat_multilabel"
+scorer = {"@scorers":"spacy.textcat_multilabel_scorer.v1"}
+threshold = 0.5
+
+[components.sentiments.model]
+@architectures = "spacy.TextCatEnsemble.v2"
+nO = null
+
+[components.sentiments.model.linear_model]
+@architectures = "spacy.TextCatBOW.v2"
+exclusive_classes = false
+ngram_size = 1
+no_output_layer = false
+nO = null
+
+[components.sentiments.model.tok2vec]
+@architectures = "spacy.Tok2Vec.v1"
+
+[components.sentiments.model.tok2vec.embed]
+@architectures = "spacy.MultiHashEmbed.v2"
+width = 64
+rows = [2000,2000,1000,1000,1000,1000]
+attrs = ["ORTH","LOWER","PREFIX","SUFFIX","SHAPE","ID"]
+include_static_vectors = true
+
+[components.sentiments.model.tok2vec.encode]
+@architectures = "spacy.MaxoutWindowEncoder.v1"
+width = 64
+window_size = 1
+maxout_pieces = 3
+depth = 2
+
+[components.tagger]
+factory = "tagger"
+neg_prefix = "!"
+overwrite = false
+scorer = {"@scorers":"spacy.tagger_scorer.v1"}
+
+[components.tagger.model]
+@architectures = "spacy.Tagger.v2"
+nO = null
+normalize = false
+
+[components.tagger.model.tok2vec]
+@architectures = "spacy.HashEmbedCNN.v2"
+pretrained_vectors = null
+width = 96
+depth = 4
+embed_size = 2000
+window_size = 1
+maxout_pieces = 3
+subword_features = true
+
+[components.thematic]
+factory = "textcat_multilabel"
+scorer = {"@scorers":"spacy.textcat_multilabel_scorer.v1"}
+threshold = 0.5
+
+[components.thematic.model]
+@architectures = "spacy.TextCatEnsemble.v2"
+nO = null
+
+[components.thematic.model.linear_model]
+@architectures = "spacy.TextCatBOW.v2"
+exclusive_classes = false
+ngram_size = 1
+no_output_layer = false
+nO = null
+
+[components.thematic.model.tok2vec]
+@architectures = "spacy.Tok2Vec.v1"
+
+[components.thematic.model.tok2vec.embed]
+@architectures = "spacy.MultiHashEmbed.v2"
+width = 64
+rows = [2000,2000,1000,1000,1000,1000]
+attrs = ["ORTH","LOWER","PREFIX","SUFFIX","SHAPE","ID"]
+include_static_vectors = true
+
+[components.thematic.model.tok2vec.encode]
+@architectures = "spacy.MaxoutWindowEncoder.v1"
+width = 64
+window_size = 1
+maxout_pieces = 3
+depth = 2
+
+[components.tok2vec]
+factory = "tok2vec"
+
+[components.tok2vec.model]
+@architectures = "spacy.Tok2Vec.v2"
+
+[components.tok2vec.model.embed]
+@architectures = "spacy.MultiHashEmbed.v2"
+width = 96
+attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
+rows = [5000,1000,2500,2500,50]
+include_static_vectors = false
+
+[components.tok2vec.model.encode]
+@architectures = "spacy.MaxoutWindowEncoder.v2"
+width = 96
+depth = 4
+window_size = 1
+maxout_pieces = 3
+
+[corpora]
+
+[corpora.dev]
+@readers = "spacy.Corpus.v1"
+path = ${paths.dev}
+gold_preproc = false
+max_length = 0
+limit = 0
+augmenter = null
+
+[corpora.train]
+@readers = "spacy.Corpus.v1"
+path = ${paths.train}
+gold_preproc = false
+max_length = 0
+limit = 0
+augmenter = null
+
+[training]
+seed = ${system.seed}
+gpu_allocator = ${system.gpu_allocator}
+dropout = 0.1
+accumulate_gradient = 1
+patience = 1600
+max_epochs = 0
+max_steps = 20000
+eval_frequency = 200
+frozen_components = []
+annotating_components = []
+dev_corpus = "corpora.dev"
+train_corpus = "corpora.train"
+before_to_disk = null
+
+[training.batcher]
+@batchers = "spacy.batch_by_words.v1"
+discard_oversize = false
+tolerance = 0.2
+get_length = null
+
+[training.batcher.size]
+@schedules = "compounding.v1"
+start = 100
+stop = 1000
+compound = 1.001
+t = 0.0
+
+[training.logger]
+@loggers = "spacy.ConsoleLogger.v1"
+progress_bar = false
+
+[training.optimizer]
+@optimizers = "Adam.v1"
+beta1 = 0.9
+beta2 = 0.999
+L2_is_weight_decay = true
+L2 = 0.01
+grad_clip = 1.0
+use_averages = false
+eps = 0.00000001
+learn_rate = 0.001
+
+[training.score_weights]
+tag_acc = 0.5
+cats_score = 0.25
+cats_score_desc = null
+cats_micro_p = null
+cats_micro_r = null
+cats_micro_f = null
+cats_macro_p = null
+cats_macro_r = null
+cats_macro_f = null
+cats_macro_auc = null
+cats_f_per_type = null
+cats_macro_auc_per_type = null
+ents_f = 0.25
+ents_p = 0.0
+ents_r = 0.0
+ents_per_type = null
+
+[pretraining]
+
+[initialize]
+vectors = ${paths.vectors}
+init_tok2vec = ${paths.init_tok2vec}
+vocab_data = null
+lookups = null
+before_init = null
+after_init = null
+
+[initialize.components]
+
+[initialize.tokenizer]

fr_pipeline-any-py3-none-any.whl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:22d6d0352bf758c4678aa39186c2631eabfc44f47c384c7b14e757911185a037
+size 80370708

meta.json

@@ -0,0 +1,152 @@
+{
+  "lang":"fr",
+  "name":"pipeline",
+  "version":"0.0.0",
+  "description":"",
+  "author":"",
+  "email":"",
+  "url":"",
+  "license":"",
+  "spacy_version":">=3.4.1,<3.5.0",
+  "spacy_git_version":"5c2a00cef",
+  "vectors":{
+    "width":300,
+    "vectors":50000,
+    "keys":-1,
+    "name":"fr_pipeline.vectors"
+  },
+  "labels":{
+    "tok2vec":[
+
+    ],
+    "tagger":[
+      "1",
+      "10",
+      "100",
+      "125",
+      "13",
+      "14",
+      "15",
+      "17",
+      "19",
+      "190",
+      "2",
+      "25",
+      "3",
+      "46",
+      "5",
+      "50",
+      "500",
+      "6",
+      "7",
+      "80",
+      "800",
+      "ADJ",
+      "ADP",
+      "ADV",
+      "AUX",
+      "CCONJ",
+      "CONJ",
+      "DET",
+      "INTJ",
+      "NOUN",
+      "NUM",
+      "PRON",
+      "PROPN",
+      "PUNCT",
+      "SCONJ",
+      "SYM",
+      "VERB",
+      "X"
+    ],
+    "national":[
+      "International",
+      "National"
+    ],
+    "thematic":[
+      "Coop\u00e9ration/Diplomatie",
+      "Culture",
+      "Economie",
+      "Education",
+      "Election",
+      "Environnement",
+      "Gouvernement",
+      "Insolite",
+      "Justice",
+      "N\u00e9crologie",
+      "People",
+      "Politique",
+      "R\u00e9ligion",
+      "Sant\u00e9",
+      "Sexualit\u00e9/Vie couple",
+      "Soci\u00e9t\u00e9",
+      "Sport",
+      "S\u00e9curit\u00e9",
+      "S\u00e9curit\u00e9 routi\u00e8re",
+      "Technologie"
+    ],
+    "sentiments":[
+      "Negatif",
+      "Neutre",
+      "Positif"
+    ],
+    "ner":[
+      "DATE",
+      "EVENT",
+      "LOC",
+      "MISC",
+      "MONEY",
+      "ORG",
+      "PER",
+      "PER-T"
+    ]
+  },
+  "pipeline":[
+    "tok2vec",
+    "tagger",
+    "national",
+    "thematic",
+    "sentiments",
+    "ner"
+  ],
+  "components":[
+    "tok2vec",
+    "tagger",
+    "national",
+    "thematic",
+    "sentiments",
+    "ner"
+  ],
+  "disabled":[
+
+  ],
+  "performance":{
+    "cats_score":0.9037233173,
+    "cats_score_desc":"macro F",
+    "cats_micro_p":0.9603673272,
+    "cats_micro_r":0.9603673272,
+    "cats_micro_f":0.9603673272,
+    "cats_macro_p":0.9201033646,
+    "cats_macro_r":0.8890054321,
+    "cats_macro_f":0.9037233173,
+    "cats_macro_auc":0.9736423963,
+    "cats_f_per_type":{
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