config.json

{
  "architectures": [
    "AlbertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0,
  "bos_token_id": 2,
  "classifier_dropout_prob": 0.1,
  "down_scale_factor": 1,
  "embedding_size": 128,
  "eos_token_id": 3,
  "finetuning_task": "digimag",
  "gap_size": 0,
  "hidden_act": "gelu_new",
  "hidden_dropout_prob": 0,
  "hidden_size": 768,
  "id2label": {
    "0": "\u0628\u0627\u0632\u06cc \u0648\u06cc\u062f\u06cc\u0648\u06cc\u06cc",
    "1": "\u0631\u0627\u0647\u0646\u0645\u0627\u06cc \u062e\u0631\u06cc\u062f",
    "2": "\u0633\u0644\u0627\u0645\u062a \u0648 \u0632\u06cc\u0628\u0627\u06cc\u06cc",
    "3": "\u0639\u0644\u0645 \u0648 \u062a\u06a9\u0646\u0648\u0644\u0648\u0698\u06cc",
    "4": "\u0639\u0645\u0648\u0645\u06cc",
    "5": "\u0647\u0646\u0631 \u0648 \u0633\u06cc\u0646\u0645\u0627",
    "6": "\u06a9\u062a\u0627\u0628 \u0648 \u0627\u062f\u0628\u06cc\u0627\u062a"
  },
  "initializer_range": 0.02,
  "inner_group_num": 1,
  "intermediate_size": 3072,
  "label2id": {
    "\u0628\u0627\u0632\u06cc \u0648\u06cc\u062f\u06cc\u0648\u06cc\u06cc": 0,
    "\u0631\u0627\u0647\u0646\u0645\u0627\u06cc \u062e\u0631\u06cc\u062f": 1,
    "\u0633\u0644\u0627\u0645\u062a \u0648 \u0632\u06cc\u0628\u0627\u06cc\u06cc": 2,
    "\u0639\u0644\u0645 \u0648 \u062a\u06a9\u0646\u0648\u0644\u0648\u0698\u06cc": 3,
    "\u0639\u0645\u0648\u0645\u06cc": 4,
    "\u0647\u0646\u0631 \u0648 \u0633\u06cc\u0646\u0645\u0627": 5,
    "\u06a9\u062a\u0627\u0628 \u0648 \u0627\u062f\u0628\u06cc\u0627\u062a": 6
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "albert",
  "net_structure_type": 0,
  "num_attention_heads": 12,
  "num_hidden_groups": 1,
  "num_hidden_layers": 12,
  "num_memory_blocks": 0,
  "pad_token_id": 0,
  "type_vocab_size": 2,
  "vocab_size": 80000
}