model_index.json

```json
{
  "description": "Encoder-Decoder Transformer for 7-day forecasting of crypto prices (BTC, ETH, BNB, SOL, ADA) using 90 days of historical data.",
  "model_name": "Time-Series-Crypto-Transformer",
  "pipeline_tag": "time-series-forecasting",
  "tags": [
    "transformer",
    "time-series",
    "crypto",
    "quant",
    "forecasting",
    "pytorch"
  ],
  "datasets": [
    "Quant/crypto_daily_aggregated"
  ],
  "metrics": [
    {
      "name": "Mean Absolute Error (MAE)",
      "type": "mae",
      "value": 0.015,
      "unit": "normalized price"
    },
    {
      "name": "Root Mean Square Error (RMSE)",
      "type": "rmse",
      "value": 0.021,
      "unit": "normalized price"
    }
  ]
}