Telling/config.json

{
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "dtype": "float32",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "Add3ressee",
    "2": "Add5ressee",
    "3": "Addressee",
    "4": "Addrime",
    "5": "Add\u0631\u062f\u0647",
    "6": "Add\u0636\u0627Addressee",
    "7": "Add\u0636\u0627ressee",
    "8": "Add\u06f3ressee",
    "9": "Atopic",
    "10": "Means",
    "11": "Medium",
    "12": "Message",
    "13": "Speaker",
    "14": "Time",
    "15": "Topic",
    "16": "\u0645Means"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Add3ressee": 1,
    "Add5ressee": 2,
    "Addressee": 3,
    "Addrime": 4,
    "Add\u0631\u062f\u0647": 5,
    "Add\u0636\u0627Addressee": 6,
    "Add\u0636\u0627ressee": 7,
    "Add\u06f3ressee": 8,
    "Atopic": 9,
    "Means": 10,
    "Medium": 11,
    "Message": 12,
    "O": 0,
    "Speaker": 13,
    "Time": 14,
    "Topic": 15,
    "\u0645Means": 16
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "transformers_version": "4.57.3",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 100000
}