Update spaCy pipeline

.gitattributes

@@ -33,3 +33,5 @@ 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_job_classif_fr-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
+textcat/model filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,47 @@
+---
+tags:
+- spacy
+- text-classification
+language:
+- fr
+model-index:
+- name: fr_job_classif_fr
+  results: []
+---
+| Feature | Description |
+| --- | --- |
+| **Name** | `fr_job_classif_fr` |
+| **Version** | `0.0.0` |
+| **spaCy** | `>=3.5.1,<3.6.0` |
+| **Default Pipeline** | `textcat` |
+| **Components** | `textcat` |
+| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
+| **Sources** | n/a |
+| **License** | n/a |
+| **Author** | [n/a]() |
+
+### Label Scheme
+
+<details>
+
+<summary>View label scheme (17 labels for 1 components)</summary>
+
+| Component | Labels |
+| --- | --- |
+| **`textcat`** | `systèmes et réseaux informatiques`, `data`, `marketing`, `mécanique`, `télécom`, `juridique`, `assistance, secrétariat et accueil`, `commerce`, `chimie`, `restauration, tourisme et hotellerie`, `comptabilité`, `développement informatique`, `ressources humaines`, `agriculture`, `électronique`, `logistique`, `production` |
+
+</details>
+
+### Accuracy
+
+| Type | Score |
+| --- | --- |
+| `CATS_SCORE` | 84.73 |
+| `CATS_MICRO_P` | 84.57 |
+| `CATS_MICRO_R` | 84.57 |
+| `CATS_MICRO_F` | 84.57 |
+| `CATS_MACRO_P` | 84.90 |
+| `CATS_MACRO_R` | 84.75 |
+| `CATS_MACRO_F` | 84.73 |
+| `CATS_MACRO_AUC` | 97.97 |
+| `TEXTCAT_LOSS` | 93.24 |

config.cfg

@@ -0,0 +1,121 @@
+[paths]
+train = "./spacy/train.spacy"
+dev = "./spacy/dev.spacy"
+vectors = null
+init_tok2vec = null
+
+[system]
+gpu_allocator = null
+seed = 0
+
+[nlp]
+lang = "fr"
+pipeline = ["textcat"]
+batch_size = 1000
+disabled = []
+before_creation = null
+after_creation = null
+after_pipeline_creation = null
+tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
+
+[components]
+
+[components.textcat]
+factory = "textcat"
+scorer = {"@scorers":"spacy.textcat_scorer.v2"}
+threshold = 0.0
+
+[components.textcat.model]
+@architectures = "spacy.TextCatBOW.v2"
+exclusive_classes = true
+ngram_size = 1
+no_output_layer = false
+nO = null
+
+[corpora]
+
+[corpora.dev]
+@readers = "spacy.Corpus.v1"
+path = ${paths.dev}
+max_length = 0
+gold_preproc = false
+limit = 0
+augmenter = null
+
+[corpora.train]
+@readers = "spacy.Corpus.v1"
+path = ${paths.train}
+max_length = 0
+gold_preproc = false
+limit = 0
+augmenter = null
+
+[training]
+dev_corpus = "corpora.dev"
+train_corpus = "corpora.train"
+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 = []
+before_to_disk = null
+before_update = 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]
+cats_score = 1.0
+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
+
+[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_job_classif_fr-any-py3-none-any.whl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c04e7d654d38918ff1c12ff64fcd0a89cb3c22376f4f2ccf2cb9c9d86aeae346
+size 1441552

meta.json

@@ -0,0 +1,150 @@
+{
+  "lang":"fr",
+  "name":"job_classif_fr",
+  "version":"0.0.0",
+  "description":"",
+  "author":"",
+  "email":"",
+  "url":"",
+  "license":"",
+  "spacy_version":">=3.5.1,<3.6.0",
+  "spacy_git_version":"8153bd573",
+  "vectors":{
+    "width":0,
+    "vectors":0,
+    "keys":0,
+    "name":null
+  },
+  "labels":{
+    "textcat":[
+      "syst\u00e8mes et r\u00e9seaux informatiques",
+      "data",
+      "marketing",
+      "m\u00e9canique",
+      "t\u00e9l\u00e9com",
+      "juridique",
+      "assistance, secr\u00e9tariat et accueil",
+      "commerce",
+      "chimie",
+      "restauration, tourisme et hotellerie",
+      "comptabilit\u00e9",
+      "d\u00e9veloppement informatique",
+      "ressources humaines",
+      "agriculture",
+      "\u00e9lectronique",
+      "logistique",
+      "production"
+    ]
+  },
+  "pipeline":[
+    "textcat"
+  ],
+  "components":[
+    "textcat"
+  ],
+  "disabled":[
+
+  ],
+  "performance":{
+    "cats_score":0.8473187426,
+    "cats_score_desc":"macro F",
+    "cats_micro_p":0.8456926475,
+    "cats_micro_r":0.8456926475,
+    "cats_micro_f":0.8456926475,
+    "cats_macro_p":0.8489559714,
+    "cats_macro_r":0.8475314703,
+    "cats_macro_f":0.8473187426,
+    "cats_macro_auc":0.979672823,
+    "cats_f_per_type":{
+      "syst\u00e8mes et r\u00e9seaux informatiques":{
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+        "r":0.7326203209,
+        "f":0.7590027701
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+        "f":0.9240121581
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+      "assistance, secr\u00e9tariat et accueil":{
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+        "f":0.7960199005
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+      "commerce":{
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+        "f":0.8794642857
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+      "chimie":{
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+        "r":0.9081081081,
+        "f":0.9256198347
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+      "restauration, tourisme et hotellerie":{
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+        "r":0.920212766,
+        "f":0.9427792916
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+      "comptabilit\u00e9":{
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+        "r":0.8974358974,
+        "f":0.8838383838
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+      "d\u00e9veloppement informatique":{
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+        "f":0.8824940048
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+      "ressources humaines":{
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+      "agriculture":{
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+        "f":0.8865435356
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+      "\u00e9lectronique":{
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+        "f":0.763546798
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+      "logistique":{
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+        "r":0.8396946565,
+        "f":0.873015873
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+      "production":{
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+        "r":0.6176470588,
+        "f":0.6684350133
+      }
+    },
+    "textcat_loss":0.9324012361
+  },
+  "requirements":[
+
+  ]
+}

textcat/cfg

@@ -0,0 +1,23 @@
+{
+  "labels":[
+    "syst\u00e8mes et r\u00e9seaux informatiques",
+    "data",
+    "marketing",
+    "m\u00e9canique",
+    "t\u00e9l\u00e9com",
+    "juridique",
+    "assistance, secr\u00e9tariat et accueil",
+    "commerce",
+    "chimie",
+    "restauration, tourisme et hotellerie",
+    "comptabilit\u00e9",
+    "d\u00e9veloppement informatique",
+    "ressources humaines",
+    "agriculture",
+    "\u00e9lectronique",
+    "logistique",
+    "production"
+  ],
+  "threshold":0.0,
+  "positive_label":null
+}

textcat/model

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+oid sha256:4f93ee50cc77c1b9b3d5926a6566f24425a331c199f914e6c41d97c797f149af
+size 17826595

vocab/key2row

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+�

vocab/lookups.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:76be8b528d0075f7aae98d6fa57a6d3c83ae480a8469e668d7b0af968995ac71
+size 1

vocab/vectors.cfg

@@ -0,0 +1,3 @@
+{
+  "mode":"default"
+}