config.json

{
    "architectures": [
        "AlbertForMaskedLM"
    ],
    "attention_probs_dropout_prob": 0,
    "classifier_dropout_prob": 0.1,
    "down_scale_factor": 1,
    "embedding_size": 128,
    "eos_token_id": 3,
    "eos_token_ids": null,
    "gap_size": 0,
    "hidden_act": "gelu_new",
    "hidden_dropout_prob": 0,
    "hidden_size": 768,
    "initializer_range": 0.02,
    "inner_group_num": 1,
    "intermediate_size": 3072,
    "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,
    "output_past": true,
    "type_vocab_size": 2,
    "vocab_size": 32000
}