config.json

{
  "architectures": [
    "LtgBertForMaskedLM"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_dropout_prob": 0.1,
  "hidden_size": 384,
  "intermediate_size": 1024,
  "layer_norm_eps": 1e-07,
  "max_position_embeddings": 512,
  "model_type": "ltgbert",
  "num_attention_heads": 6,
  "num_hidden_layers": 12,
  "output_all_encoded_layers": true,
  "pad_token_id": 4,
  "position_bucket_size": 32,
  "torch_dtype": "float32",
  "transformers_version": "4.46.2",
  "vocab_size": 6144
}