{
  "project": "LLM-Based Multimodal Behaviour-Change Support",
  "training_script": "models/audio/train.py",
  "training_output_dir": "C:\\hackathon\\Gemini_CLI\\EMORA\\models\\audio\\runs_emotion2vec",
  "backbone_hub_id": "iic/emotion2vec_base_finetuned",
  "backbone_loader": "funasr.AutoModel",
  "head_reconstruction": "At inference time the container rebuilds the nn.Sequential head from src/pipeline/audio_pipeline.py and loads this state dict into it. The backbone is fetched from Hugging Face Hub at runtime.",
  "label_mapping_note": "Audio was trained directly on the 6-class shared space: angry, disgust, fearful, happy, sad, surprised.",
  "files": {
    "model_state_dict.pt": "trained classification head state dict",
    "config.json": "reconstruction metadata for the head"
  }
}