{
  "model_type": "unified_multimodal_language_model",
  "model_name": "CognoSphere/CSUMLM",
  "model_description": "CognoSphere Unified Multimodal Language Model (CSUMLM) is an advanced AI model capable of processing and generating text, images, and audio data. It combines transfer learning, deep learning, self-supervised learning, meta-learning, deep meta-learning, reinforcement learning, and cross-domain analogy extraction to achieve state-of-the-art performance in multimodal tasks.",
  "model_architecture": {
    "text_encoder": {
      "type": "transformer",
      "num_layers": 12,
      "hidden_size": 768,
      "num_attention_heads": 12,
      "intermediate_size": 3072
    },
    "image_encoder": {
      "type": "convolutional",
      "num_layers": 5,
      "kernel_sizes": [3, 3, 3, 3, 3],
      "channels": [64, 128, 256, 512, 512]
    },
    "audio_encoder": {
      "type": "recurrent",
      "num_layers": 3,
      "hidden_size": 512,
      "bidirectional": true
    },
    "multimodal_fusion": {
      "type": "transformer",
      "num_layers": 6,
      "hidden_size": 1024,
      "num_attention_heads": 16,
      "intermediate_size": 4096
    },
    "decoder": {
      "type": "transformer",
      "num_layers": 12,
      "hidden_size": 768,
      "num_attention_heads": 12,
      "intermediate_size": 3072
    }
  },
  "training_data": {
    "text": [
      "path/to/text/data/file1.txt",
      "path/to/text/data/file2.txt",
      "..."
    ],
    "images": [
      "path/to/image/data/image1.jpg",
      "path/to/image/data/image2.png",
      "..."
    ],
    "audio": [
      "path/to/audio/data/audio1.wav",
      "path/to/audio/data/audio2.mp3",
      "..."
    ]
  },
  "tokenizer": {
    "type": "byte-level-bpe",
    "vocab_size": 50000,
    "merge_file": "path/to/bpe/merge_file.txt"
  },
  "optimizer": {
    "type": "adamw",
    "learning_rate": 5e-5,
    "weight_decay": 0.01
  },
  "loss_function": "cross_entropy",
  "evaluation_metrics": [
    "bleu",
    "meteor",
    "rouge",
    "cider"
  ]
    }