config.json

{
  "_name_or_path": "allegro/herbert-base-cased",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "artykuł",
    "1": "esej",
    "2": "felieton",
    "3": "kult",
    "4": "nota",
    "5": "opowiadanie",
    "6": "proza",
    "7": "recenzja",
    "8": "wiersz",
    "9": "wpis blogowy",
    "10": "wspomnienie",
    "11": "wywiad",
    "12": "zgon"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "artykuł": 0,
    "esej": 1,
    "felieton": 2,
    "kult": 3,
    "nota": 4,
    "opowiadanie": 5,
    "proza": 6,
    "recenzja": 7,
    "wiersz": 8,
    "wpis blogowy": 9,
    "wspomnienie": 10,
    "wywiad": 11,
    "zgon": 12
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 514,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "tokenizer_class": "HerbertTokenizerFast",
  "torch_dtype": "float32",
  "transformers_version": "4.46.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 50000,
  "num_labels": 13
}