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Upload config.json

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  1. config.json +49 -0
config.json ADDED
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+ {
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+ "activation_function": "gelu",
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+ "architectures": [
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+ "PatchTSTForPretraining"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bias": true,
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+ "channel_attention": false,
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+ "channel_consistent_masking": false,
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+ "context_length": 24,
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+ "d_model": 128,
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+ "distribution_output": "student_t",
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+ "do_mask_input": true,
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+ "dtype": "float32",
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+ "ff_dropout": 0.0,
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+ "ffn_dim": 512,
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+ "head_dropout": 0.0,
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+ "init_std": 0.02,
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+ "loss": "mse",
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+ "mask_type": "random",
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+ "mask_value": 0,
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+ "model_type": "patchtst",
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+ "norm_eps": 1e-05,
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+ "norm_type": "batchnorm",
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+ "num_attention_heads": 4,
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+ "num_forecast_mask_patches": [
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+ 2
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+ ],
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+ "num_hidden_layers": 3,
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+ "num_input_channels": 14,
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+ "num_parallel_samples": 100,
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+ "num_targets": 1,
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+ "output_range": null,
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+ "patch_length": 6,
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+ "patch_stride": 6,
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+ "path_dropout": 0.0,
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+ "pooling_type": "mean",
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+ "positional_dropout": 0.0,
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+ "positional_encoding_type": "sincos",
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+ "pre_norm": true,
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+ "prediction_length": 24,
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+ "random_mask_ratio": 0.4,
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+ "scaling": "std",
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+ "share_embedding": true,
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+ "share_projection": true,
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+ "transformers_version": "4.56.1",
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+ "unmasked_channel_indices": null,
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+ "use_cls_token": true
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+ }