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{
"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"
}
]
} |