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{
  "architectures": [
    "GridTSTForTimeSeriesPrediction"
  ],
  "attention_dropout": 0.1,
  "attention_strategy": "channel_first",
  "d_model": 128,
  "dropout": 0.2,
  "ffn_dim": 256,
  "head_dropout": 0.0,
  "init_std": 0.2,
  "label_len": 192,
  "model_type": "gridtst",
  "norm_type": "batchnorm",
  "num_channels": 21,
  "num_heads": 16,
  "num_layers": 4,
  "num_patches": 6,
  "patch_len": 64,
  "qkv_bias": true,
  "revin_affine": true,
  "seq_len": 336,
  "stride": 64,
  "torch_dtype": "float32",
  "transformers_version": "4.35.2"
}