config.json

{
  "_name_or_path": "ccdv/lsg-xlm-roberta-base-4096",
  "adaptive": true,
  "architectures": [
    "LSGXLMRobertaForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "auto_map": {
    "AutoConfig": "modeling_lsg_xlm_roberta.LSGXLMRobertaConfig",
    "AutoModel": "modeling_lsg_xlm_roberta.LSGXLMRobertaModel",
    "AutoModelForCausalLM": "modeling_lsg_xlm_roberta.LSGXLMRobertaForCausalLM",
    "AutoModelForMaskedLM": "modeling_lsg_xlm_roberta.LSGXLMRobertaForMaskedLM",
    "AutoModelForMultipleChoice": "modeling_lsg_xlm_roberta.LSGXLMRobertaForMultipleChoice",
    "AutoModelForQuestionAnswering": "modeling_lsg_xlm_roberta.LSGXLMRobertaForQuestionAnswering",
    "AutoModelForSequenceClassification": "modeling_lsg_xlm_roberta.LSGXLMRobertaForSequenceClassification",
    "AutoModelForTokenClassification": "modeling_lsg_xlm_roberta.LSGXLMRobertaForTokenClassification"
  },
  "base_model_prefix": "lsg",
  "block_size": 256,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "PRETS IMMOBILIERS, CONSOMMATIONS ET DETTES (REPRIS ET CONSERVES)",
    "1": "RELEVE DE COMPTE ET RIB",
    "2": "AUTRES",
    "3": "HABITATION",
    "4": "REVENUS ET IMPOTS",
    "5": "IDENTITE ET SITUATION PERSONNELLE"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "AUTRES": 2,
    "HABITATION": 3,
    "IDENTITE ET SITUATION PERSONNELLE": 5,
    "PRETS IMMOBILIERS, CONSOMMATIONS ET DETTES (REPRIS ET CONSERVES)": 0,
    "RELEVE DE COMPTE ET RIB": 1,
    "REVENUS ET IMPOTS": 4
  },
  "layer_norm_eps": 1e-05,
  "lsh_num_pre_rounds": 1,
  "mask_first_token": true,
  "max_position_embeddings": 4098,
  "model_type": "xlm-roberta",
  "num_attention_heads": 12,
  "num_global_tokens": 1,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 1,
  "pool_with_global": true,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "sparse_block_size": 0,
  "sparsity_factor": 4,
  "sparsity_type": "none",
  "torch_dtype": "float32",
  "transformers_version": "4.40.2",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 250002
}