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": "Cryptolocker",
    "1": "Cryptocurrency",
    "10": "Hacking",
    "11": "Counterfeit Credit-Cards",
    "12": "Forum",
    "13": "Locked",
    "2": "Services",
    "3": "Social-Network",
    "4": "Hosting",
    "5": "Personal",
    "6": "Down",
    "7": "Porno",
    "8": "Marketplace",
    "9": "Drugs"
  },
  "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": {
    "Counterfeit Credit-Cards": 11,
    "Cryptocurrency": 1,
    "Cryptolocker": 0,
    "Down": 6,
    "Drugs": 9,
    "Forum": 12,
    "Hacking": 10,
    "Hosting": 4,
    "Locked": 13,
    "Marketplace": 8,
    "Personal": 5,
    "Porno": 7,
    "Services": 2,
    "Social-Network": 3
  },
  "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
}