{
    "model_name": "Evolutionary Multi-Modal Model",
    "model_type": "transformer",
    "license": "mit",
    "language": "en",
    "datasets": [
      "Custom"
    ],
    "tags": [
      "text-generation",
      "code-generation",
      "speech-recognition",
      "multi-modal",
      "evolutionary"
    ],
    "base_model": "facebook/bart-base",
    "finetuned_from": [
      "gpt2",
      "bert-base-uncased",
      "facebook/wav2vec2-base-960h",
      "openai/clip-vit-base-patch32"
    ],
    "dataset": "Custom Multi-Modal Dataset",
    "metrics": [
      "perplexity",
      "bleu",
      "wer",
      "cer"
    ],
    "library_name": "transformers",
    "pipeline_tag": "text-generation",
    "inference": {
      "parameters": {
        "max_length": 50,
        "top_k": 50,
        "top_p": 0.95,
        "temperature": 1.2,
        "do_sample": true
      }
    },
    "extra_info": {
      "author": "zero",
      "version": "1.0",
      "description":"1.0",
      "citation": "@1.0"  
    }
  }