config.json

{
  "_name_or_path": "tiny_models/albert/AlbertModel",
  "architectures": [
    "AlbertModel"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 2,
  "classifier_dropout_prob": 0.1,
  "embedding_size": 128,
  "eos_token_id": 3,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 36,
  "initializer_range": 0.02,
  "inner_group_num": 1,
  "intermediate_size": 37,
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "albert",
  "num_attention_heads": 6,
  "num_hidden_groups": 6,
  "num_hidden_layers": 6,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.28.0.dev0",
  "type_vocab_size": 16,
  "vocab_size": 30000
}