config.json

{
  "_name_or_path": "/home/stefan/Repositories/NeoBERT",
  "architectures": [
    "NeoBERTForTokenClassification"
  ],
  "auto_map": {
    "AutoConfig": "model.NeoBERTConfig",
    "AutoModel": "model.NeoBERT",
    "AutoModelForMaskedLM": "model.NeoBERTLMHead",
    "AutoModelForSequenceClassification": "model.NeoBERTForSequenceClassification",
    "AutoModelForTokenClassification": "model.NeoBERTForTokenClassification"
  },
  "classifier_init_range": 0.02,
  "decoder_init_range": 0.02,
  "dim_head": 64,
  "embedding_init_range": 0.02,
  "finetuning_task": "ner",
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "B-PER",
    "2": "I-PER",
    "3": "B-ORG",
    "4": "I-ORG",
    "5": "B-LOC",
    "6": "I-LOC",
    "7": "B-MISC",
    "8": "I-MISC"
  },
  "intermediate_size": 3072,
  "kwargs": {
    "_commit_hash": null,
    "architectures": [
      "NeoBERTLMHead"
    ],
    "attn_implementation": null,
    "auto_map": {
      "AutoConfig": "model.NeoBERTConfig",
      "AutoModel": "model.NeoBERT",
      "AutoModelForMaskedLM": "model.NeoBERTLMHead",
      "AutoModelForSequenceClassification": "model.NeoBERTForSequenceClassification",
      "AutoModelForTokenClassification": "model.NeoBERTForTokenClassification"
    },
    "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": {
    "B-LOC": 5,
    "B-MISC": 7,
    "B-ORG": 3,
    "B-PER": 1,
    "I-LOC": 6,
    "I-MISC": 8,
    "I-ORG": 4,
    "I-PER": 2,
    "O": 0
  },
  "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",
  "torch_dtype": "float32",
  "transformers_version": "4.49.0",
  "trust_remote_code": true,
  "vocab_size": 30522
}