{
  "model_type": "CustomModel",
  "architecture": "Feedforward Neural Network with Ba-inspired Activation Function",
  "input_size": 512,
  "hidden_size": 128,
  "output_size": 768,
  "activation_function": {
    "name": "Ba-inspired Activation",
    "details": {
      "weights_initialization": "Random Normal Distribution",
      "a": 0.5,
      "epsilon": 1e-6,
      "function": "epsilon * torch.cos(np.pi * a * fractional_inspired * torch.log(torch.abs(fractional_inspired) + epsilon))"
    }
  },
  "tokenizer": "bert-base-uncased",
  "training_details": {
    "optimizer": "AdamW",
    "learning_rate": 5e-5,
    "loss_function": "CrossEntropyLoss",
    "batch_size": 8,
    "epochs": 3,
    "dataset": "Custom Dataset from JSON Lines File",
    "dataset_preprocessing": {
      "max_length": 512,
      "padding": true,
      "truncation": true
    }
  },
  "performance": {
    "final_accuracy": "Dependent on specific run and dataset",
    "final_loss": "Dependent on specific run and dataset"
  },
  "usage": {
    "inference": "Model can be used for tasks requiring sequence classification. Ensure input size matches model configuration.",
    "additional_notes": "Model and tokenizer need to be loaded with Hugging Face's transformers library for usage."
  }
}