config.json

{
  "_name_or_path": "/home/dev/Python/AI/Semantix/Classification/FR-categories_multilingual-e5-base",
  "architectures": [
    "XLMRobertaForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "crime, droit et justice",
    "1": "arts, culture, divertissement et m\u00e9dias",
    "2": "\u00e9conomie, affaires et finance",
    "3": "catastrophe, accident et incident d'urgence",
    "4": "environnement",
    "5": "\u00e9ducation",
    "6": "sant\u00e9",
    "7": "int\u00e9r\u00eat humain",
    "8": "style de vie et loisirs",
    "9": "politique",
    "10": "travail",
    "11": "religion et croyance",
    "12": "science et technologie",
    "13": "soci\u00e9t\u00e9",
    "14": "sport",
    "15": "conflit, guerre et paix",
    "16": "m\u00e9t\u00e9o"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "arts, culture, divertissement et m\u00e9dias": 1,
    "catastrophe, accident et incident d'urgence": 3,
    "conflit, guerre et paix": 15,
    "crime, droit et justice": 0,
    "environnement": 4,
    "int\u00e9r\u00eat humain": 7,
    "m\u00e9t\u00e9o": 16,
    "politique": 9,
    "religion et croyance": 11,
    "sant\u00e9": 6,
    "science et technologie": 12,
    "soci\u00e9t\u00e9": 13,
    "sport": 14,
    "style de vie et loisirs": 8,
    "travail": 10,
    "\u00e9conomie, affaires et finance": 2,
    "\u00e9ducation": 5
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "xlm-roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.47.1",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 250002
}