training_metadata.json

{
  "base_model": "google-t5/t5-small",
  "lora": {
    "r": 16,
    "alpha": 32,
    "dropout": 0.05,
    "target_modules": [
      "q",
      "v"
    ]
  },
  "epochs": 3,
  "batch_size": 8,
  "train_rows": 600,
  "samples": [
    {
      "input": "multi-agent platform with RAG, MCP, and observability",
      "output": "multi-agent, multi-agent, observability, rag, mCP, observability"
    },
    {
      "input": "looking for RAG hybrid search recall@k and reranking",
      "output": "hybrid search, recall@k, reranking"
    },
    {
      "input": "FastAPI Next.js agent backend with Docker Compose",
      "output": "agent backend, next.js, fastap, next, js, docker, compose"
    }
  ],
  "merged": true
}