config.json

{
  "model_type": "GenoLiteHybrid",

  "vocab_size": 4,
  "sequence_length": 64,
  "num_classes": 3,

  "d_model": 512,

  "cnn": {
    "enabled": true,
    "blocks": 7,
    "channels": 960,
    "kernel_size": 3,
    "residual": true,
    "layernorm": true,
    "activation": "gelu"
  },

  "gru": {
    "enabled": true,
    "hidden_size": 960,
    "layers": 4,
    "bidirectional": false,
    "batch_first": true,
    "projection_to_d_model": true,
    "layernorm": true
  },

  "transformer": {
    "enabled": true,
    "layers": 6,
    "heads": 8,
    "ffn_dim": 2048,
    "dropout": 0.1,
    "activation": "gelu",
    "batch_first": true,
    "layernorm": true
  },

  "mamba": {
    "enabled": true,
    "layers": 10,
    "state_dim": 1408,
    "gated": true,
    "residual": true,
    "layernorm": true
  },

  "fusion": {
    "input_dim": 2048,
    "output_dim": 512,
    "activation": "gelu",
    "dropout": 0.1,
    "layernorm": true
  },

  "classifier": {
    "hidden_dim": 512,
    "dropout": 0.1,
    "activation": "gelu",
    "num_classes": 3
  },

  "pooling": {
    "type": "mean"
  },

  "training": {
    "epochs": 3,
    "batch_size": 3,
    "learning_rate": 0.0001,
    "optimizer": "AdamW",
    "weight_decay": 0.01,
    "gradient_clipping": 1.0,
    "shuffle": true
  },

  "dataset": {
    "type": "synthetic",
    "samples_total": 9000,
    "samples_per_class": 3000,

    "classes": [
      "OK",
      "MHAP",
      "PROBLEM"
    ],

    "difficulty_levels": [
      "easy",
      "medium",
      "hard"
    ],

    "features": [
      "controlled_entropy",
      "motif_repetition",
      "hidden_illegal_pairs",
      "partial_shuffle",
      "duplicate_prevention",
      "class_overlap"
    ]
  },

  "hardware": {
    "device": "cpu",
    "ram_gb": 8,
    "cpu": "Intel i7-4700MQ"
  },

  "estimated_parameters": "88M+"
}