config.json

{
  "model_type": "CustomModel",
  "architecture": "CustomModel",
  "input_size": 512,
  "hidden_size": 128,
  "output_size": 768,
  "vocab_size": 30522,  // Example vocab size, adjust according to your tokenizer's vocabulary
  "layer_norm_epsilon": 1e-12,
  "hidden_dropout_prob": 0.1,
  "num_attention_heads": 12,  // Adjust if your model uses attention mechanisms
  "attention_probs_dropout_prob": 0.1,
  "intermediate_size": 3072,  // Example size, adjust based on your model's architecture
  "num_hidden_layers": 12,  // Adjust based on your model's depth
  "initializer_range": 0.02
}