kyLE_LEng
Train PatchTST cross-sectional return forecaster
74f15a2 verified
{
"model_repo_id": "JumpHigh/patchtst-cross-sectional-return-forecast",
"dataset_id": "siddharthmb/stocks-ohlcv",
"dataset_file": "ohlcv.csv",
"tickers": [
"AAPL",
"MSFT",
"AMZN",
"GOOGL",
"NVDA",
"TSLA",
"AMD",
"INTC",
"ADBE",
"ORCL",
"CSCO",
"IBM",
"JPM",
"BAC",
"V",
"MA",
"AXP",
"JNJ",
"PG",
"KO",
"WMT",
"HD"
],
"num_channels": 20,
"use_synthetic": false,
"synthetic_steps": 1800,
"context_length": 512,
"prediction_length": 64,
"patch_length": 16,
"patch_stride": 8,
"d_model": 128,
"num_hidden_layers": 4,
"num_attention_heads": 4,
"ffn_dim": 512,
"batch_size": 64,
"eval_batch_size": 128,
"num_epochs": 20,
"learning_rate": 0.0005,
"weight_decay": 0.01,
"warmup_ratio": 0.05,
"max_grad_norm": 1.0,
"window_stride": 1,
"train_fraction": 0.7,
"validation_fraction": 0.15,
"random_seed": 7,
"max_csv_chunks": null,
"csv_chunksize": 500000,
"min_rows_per_ticker": 1000,
"device": "auto",
"bf16": true,
"output_dir": "patchtst-return-model",
"checkpoint_upload_every": 1,
"resume_from_model_id": null,
"resume_from_subfolder": null
}