config.json

{
  "_name_or_path": "rmihaylov/bert-base-bg",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "by_layer_is_trainable": {
    "0": true,
    "1": true,
    "10": true,
    "11": true,
    "12": true,
    "13": true,
    "14": true,
    "15": true,
    "16": true,
    "17": true,
    "18": true,
    "19": true,
    "2": true,
    "20": true,
    "21": true,
    "22": true,
    "23": true,
    "3": true,
    "4": true,
    "5": true,
    "6": true,
    "7": true,
    "8": true,
    "9": true
  },
  "classifier_dropout": null,
  "cls_trainable": true,
  "directionality": "bidi",
  "embedding_postprocessor_trainable": true,
  "embeddings_layer_norm_trainable": true,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1",
    "2": "LABEL_2",
    "3": "LABEL_3",
    "4": "LABEL_4",
    "5": "LABEL_5",
    "6": "LABEL_6"
  },
  "init_optimizer_variables": true,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_2": 2,
    "LABEL_3": 3,
    "LABEL_4": 4,
    "LABEL_5": 5,
    "LABEL_6": 6
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "pooler_fc_size": 768,
  "pooler_num_attention_heads": 12,
  "pooler_num_fc_layers": 3,
  "pooler_size_per_head": 128,
  "pooler_trainable": true,
  "pooler_type": "first_token_transform",
  "position_embedding_type": "absolute",
  "position_embeddings_trainable": true,
  "token_type_trainable": true,
  "torch_dtype": "float32",
  "transformer_trainable": true,
  "transformers_version": "4.26.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 119549,
  "word_embeddings_trainable": true
}