config.json

{
  "architectures": [
    "XLMRobertaForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.2,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "dtype": "float32",
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.2,
  "hidden_size": 1024,
  "id2label": {
    "0": "Aucun th\u00e8me",
    "1": "Economie circulaire - Achats locaux",
    "2": "Economie circulaire - Alimentation",
    "3": "Economie circulaire - Collaboration locale",
    "4": "Economie circulaire - Construction durable",
    "5": "Economie circulaire - Plan d'actions en faveur de l'\u00e9conomie circulaire",
    "6": "Economie circulaire - R\u00e9emploi",
    "7": "Economie circulaire - Sensibilisation \u00e0 l'\u00e9conomie circulaire",
    "8": "Aucun sentiment",
    "9": "negative",
    "10": "neutral",
    "11": "positive"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "Aucun sentiment": 8,
    "Aucun th\u00e8me": 0,
    "Economie circulaire - Achats locaux": 1,
    "Economie circulaire - Alimentation": 2,
    "Economie circulaire - Collaboration locale": 3,
    "Economie circulaire - Construction durable": 4,
    "Economie circulaire - Plan d'actions en faveur de l'\u00e9conomie circulaire": 5,
    "Economie circulaire - R\u00e9emploi": 6,
    "Economie circulaire - Sensibilisation \u00e0 l'\u00e9conomie circulaire": 7,
    "negative": 9,
    "neutral": 10,
    "positive": 11
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "xlm-roberta",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "output_past": true,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "problem_type": "multi_label_classification",
  "transformers_version": "4.56.0",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 250002
}