bert/config.json

{
  "activation_dropout": 0.0,
  "activation_function": "gelu",
  "architectures": [
    "LDMBertModel"
  ],
  "attention_dropout": 0.0,
  "classifier_dropout": 0.0,
  "d_model": 768,
  "dropout": 0.1,
  "encoder_attention_heads": 8,
  "encoder_ffn_dim": 3072,
  "encoder_layerdrop": 0.0,
  "encoder_layers": 12,
  "head_dim": 64,
  "init_std": 0.02,
  "max_position_embeddings": 50,
  "model_type": "ldmbert",
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "scale_embedding": false,
  "torch_dtype": "float32",
  "transformers_version": "4.21.1",
  "use_cache": true,
  "vocab_size": 3000
}