config.json

{
  "_attn_implementation_autoset": true,
  "_name_or_path": "almanach/camembertv2-base-ftb-ner",
  "architectures": [
    "RobertaForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 1,
  "classifier_dropout": null,
  "embedding_size": 768,
  "eos_token_id": 2,
  "finetuning_task": "ner",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "B-Company",
    "1": "B-FictionCharacter",
    "2": "B-Location",
    "3": "B-Organization",
    "4": "B-Person",
    "5": "B-POI",
    "6": "B-Product",
    "7": "I-Company",
    "8": "I-FictionCharacter",
    "9": "I-Location",
    "10": "I-Organization",
    "11": "I-Person",
    "12": "I-POI",
    "13": "I-Product",
    "14": "O"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-Company": 0,
    "B-FictionCharacter": 1,
    "B-Location": 2,
    "B-Organization": 3,
    "B-POI": 5,
    "B-Person": 4,
    "B-Product": 6,
    "I-Company": 7,
    "I-FictionCharacter": 8,
    "I-Location": 9,
    "I-Organization": 10,
    "I-POI": 12,
    "I-Person": 11,
    "I-Product": 13,
    "O": 14
  },
  "layer_norm_eps": 1e-07,
  "max_position_embeddings": 1025,
  "model_name": "camembertv2-base-bf16",
  "model_type": "roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_biased_input": true,
  "position_embedding_type": "absolute",
  "transformers_version": "4.46.1",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 32768
}