config.json

{
  "architectures": [
    "NeoBERTForSequenceClassification"
  ],
  "auto_map": {
    "AutoConfig": "model.NeoBERTConfig",
    "AutoModel": "model.NeoBERT",
    "AutoModelForMaskedLM": "model.NeoBERTLMHead",
    "AutoModelForSequenceClassification": "model.NeoBERTForSequenceClassification"
  },
  "classifier_init_range": 0.02,
  "decoder_init_range": 0.02,
  "dim_head": 64,
  "dtype": "float32",
  "embedding_init_range": 0.02,
  "hidden_size": 768,
  "id2label": {
    "0": "Hacking",
    "1": "Gambling",
    "2": "Financial",
    "3": "Electronic",
    "4": "Porn",
    "5": "Arms",
    "6": "Drugs",
    "7": "Others",
    "8": "Crypto",
    "9": "Violence"
  },
  "intermediate_size": 3072,
  "kwargs": {
    "architectures": [
      "NeoBERTLMHead"
    ],
    "attn_implementation": null,
    "auto_map": {
      "AutoConfig": "model.NeoBERTConfig",
      "AutoModel": "model.NeoBERT",
      "AutoModelForMaskedLM": "model.NeoBERTLMHead",
      "AutoModelForSequenceClassification": "model.NeoBERTForSequenceClassification"
    },
    "classifier_init_range": 0.02,
    "dim_head": 64,
    "kwargs": {
      "classifier_init_range": 0.02,
      "pretrained_model_name_or_path": "google-bert/bert-base-uncased",
      "trust_remote_code": true
    },
    "model_type": "neobert",
    "pretrained_model_name_or_path": "google-bert/bert-base-uncased",
    "torch_dtype": "float32",
    "transformers_version": "4.48.2",
    "trust_remote_code": true
  },
  "label2id": {
    "Arms": 5,
    "Crypto": 8,
    "Drugs": 6,
    "Electronic": 3,
    "Financial": 2,
    "Gambling": 1,
    "Hacking": 0,
    "Others": 7,
    "Porn": 4,
    "Violence": 9
  },
  "max_length": 4096,
  "model_type": "neobert",
  "norm_eps": 1e-05,
  "num_attention_heads": 12,
  "num_hidden_layers": 28,
  "pad_token_id": 0,
  "pretrained_model_name_or_path": "google-bert/bert-base-uncased",
  "problem_type": "single_label_classification",
  "transformers_version": "4.57.1",
  "trust_remote_code": true,
  "vocab_size": 30522
}