config.json

{
  "_name_or_path": "indolem/indobert-base-uncased",
  "adapters": {
    "adapters": {},
    "config_map": {},
    "fusion_config_map": {},
    "fusions": {}
  },
  "architectures": [
    "BertAdapterModel"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "custom_heads": {},
  "eos_token_ids": 0,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "0": 0,
    "1": 1
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "prediction_heads": {
    "default": {
      "activation_function": "gelu",
      "bias": true,
      "embedding_size": 768,
      "head_type": "masked_lm",
      "label2id": null,
      "layer_norm": true,
      "layers": 2,
      "shift_labels": false,
      "vocab_size": 31923
    },
    "sentiment": {
      "activation_function": "tanh",
      "bias": true,
      "dropout_prob": null,
      "head_type": "classification",
      "label2id": {
        "0": 0,
        "1": 1
      },
      "layers": 2,
      "num_labels": 2,
      "use_pooler": false
    }
  },
  "torch_dtype": "float32",
  "transformers_version": "4.39.3",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 31923
}