config.json

{
  "model_type": "encoder_decoder",
  "encoder_type": "csumlm_encoder",
  "decoder_type": "csumlm_decoder",
  "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.",
  "encoder": {
    "type": "transformer",
    "num_layers": 12,
    "hidden_size": 768,
    "num_attention_heads": 12,
    "intermediate_size": 3072
  },
  "decoder": {
    "type": "transformer",
    "num_layers": 12,
    "hidden_size": 768,
    "num_attention_heads": 12,
    "intermediate_size": 3072
  },
  "multimodal_fusion": {
    "type": "transformer",
    "num_layers": 6,
    "hidden_size": 1024,
    "num_attention_heads": 16,
    "intermediate_size": 4096
  },
  "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"
  ]
  }