config.json

{
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "cls_token": "[CLS]",
  "do_lower_case": true,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "*1",
    "1": "*2",
    "2": "*3",
    "3": "*4",
    "4": "*5",
    "5": "*6",
    "6": "*8",
    "7": "Recharge normale",
    "8": "autre"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "*1": 0,
    "*2": 1,
    "*3": 2,
    "*4": 3,
    "*5": 4,
    "*6": 5,
    "*8": 6,
    "Recharge normale": 7,
    "autre": 8
  },
  "layer_norm_eps": 1e-12,
  "mask_token": "[MASK]",
  "max_len": 128,
  "max_position_embeddings": 512,
  "model_max_length": 128,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token": "[PAD]",
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "sep_token": "[SEP]",
  "torch_dtype": "float32",
  "transformers_version": "4.50.3",
  "type_vocab_size": 2,
  "unk_token": "[UNK]",
  "use_cache": true,
  "vocab_size": 80000
}